The Adoption of Artificial Intelligence in Firms

Annex E. Aggregated responses to the 2022-23 OECD/BCG/INSEAD Survey of AI-Adopting Enterprises
Copy link to Annex E. Aggregated responses to the 2022-23 OECD/BCG/INSEAD Survey of AI-Adopting EnterprisesTable E.1. Q1 - How important are AI applications to your enterprise's core business processes?
Copy link to Table E.1. Q1 - How important are AI applications to your enterprise's core business processes?
Country |
Enterprise size |
Sector |
Critically important |
Of minor importance |
One among a number of important considerations |
---|---|---|---|---|---|
CAN |
50-249 |
ICT |
19 (63.3%) |
0 (0.0%) |
11 (36.7%) |
|
Manufacturing |
22 (73.3%) |
2 (6.7%) |
6 (20.0%) |
|
|
250+ |
ICT |
16 (53.3%) |
1 (3.3%) |
13 (43.3%) |
|
Manufacturing |
9 (30.0%) |
9 (30.0%) |
12 (40.0%) |
|
DEU |
50-249 |
ICT |
17 (56.7%) |
0 (0.0%) |
13 (43.3%) |
|
Manufacturing |
13 (43.3%) |
4 (13.3%) |
13 (43.3%) |
|
|
250+ |
ICT |
21 (70.0%) |
1 (3.3%) |
8 (26.7%) |
|
Manufacturing |
4 (13.3%) |
6 (20.0%) |
20 (66.7%) |
|
FRA |
50-249 |
ICT |
21 (70.0%) |
0 (0.0%) |
9 (30.0%) |
|
Manufacturing |
26 (86.7%) |
0 (0.0%) |
4 (13.3%) |
|
|
250+ |
ICT |
18 (60.0%) |
0 (0.0%) |
12 (40.0%) |
|
Manufacturing |
15 (50.0%) |
1 (3.3%) |
14 (46.7%) |
|
GBR |
50-249 |
ICT |
20 (66.7%) |
1 (3.3%) |
9 (30.0%) |
|
Manufacturing |
18 (60.0%) |
5 (16.7%) |
7 (23.3%) |
|
|
250+ |
ICT |
16 (53.3%) |
0 (0.0%) |
14 (46.7%) |
|
Manufacturing |
8 (26.7%) |
3 (10.0%) |
19 (63.3%) |
|
ITA |
50-249 |
ICT |
14 (46.7%) |
0 (0.0%) |
16 (53.3%) |
|
Manufacturing |
10 (33.3%) |
8 (26.7%) |
12 (40.0%) |
|
|
250+ |
ICT |
19 (63.3%) |
1 (3.3%) |
10 (33.3%) |
|
Manufacturing |
9 (30.0%) |
6 (20.0%) |
15 (50.0%) |
|
JPN |
50-249 |
ICT |
19 (63.3%) |
0 (0.0%) |
11 (36.7%) |
|
Manufacturing |
22 (73.3%) |
3 (10.0%) |
5 (16.7%) |
|
|
250+ |
ICT |
25 (83.3%) |
0 (0.0%) |
5 (16.7%) |
|
Manufacturing |
17 (56.7%) |
1 (3.3%) |
12 (40.0%) |
|
USA |
50-249 |
ICT |
19 (63.3%) |
0 (0.0%) |
11 (36.7%) |
|
Manufacturing |
9 (30.0%) |
8 (26.7%) |
13 (43.3%) |
|
|
250+ |
ICT |
12 (40.0%) |
1 (3.3%) |
17 (56.7%) |
|
Manufacturing |
8 (26.7%) |
3 (10.0%) |
19 (63.3%) |
Table E.2. Q2 - In approximately which year was your enterprise incorporated?
Copy link to Table E.2. Q2 - In approximately which year was your enterprise incorporated?
Country |
Enterprise size |
Sector |
1950 or earlier |
1950-1960 |
1960-1970 |
1970-1980 |
1980-1990 |
1990-2000 |
2000-2010 |
2010-2020 |
After 2020 |
---|---|---|---|---|---|---|---|---|---|---|---|
CAN |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
2 (6.7%) |
3 (10.0%) |
4 (13.3%) |
13 (43.3%) |
8 (26.7%) |
0 (0.0%) |
|
Manufacturing |
1 (3.3%) |
0 (0.0%) |
1 (3.3%) |
1 (3.3%) |
0 (0.0%) |
7 (23.3%) |
8 (26.7%) |
12 (40.0%) |
0 (0.0%) |
|
|
250+ |
ICT |
1 (3.3%) |
3 (10.0%) |
0 (0.0%) |
1 (3.3%) |
2 (6.7%) |
4 (13.3%) |
13 (43.3%) |
6 (20.0%) |
0 (0.0%) |
|
Manufacturing |
4 (13.3%) |
1 (3.3%) |
2 (6.7%) |
4 (13.3%) |
4 (13.3%) |
9 (30.0%) |
4 (13.3%) |
2 (6.7%) |
0 (0.0%) |
|
DEU |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
7 (23.3%) |
15 (50.0%) |
7 (23.3%) |
0 (0.0%) |
|
Manufacturing |
2 (6.7%) |
0 (0.0%) |
2 (6.7%) |
0 (0.0%) |
1 (3.3%) |
12 (40.0%) |
9 (30.0%) |
3 (10.0%) |
1 (3.3%) |
|
|
250+ |
ICT |
1 (3.3%) |
0 (0.0%) |
5 (16.7%) |
1 (3.3%) |
7 (23.3%) |
6 (20.0%) |
2 (6.7%) |
6 (20.0%) |
2 (6.7%) |
|
Manufacturing |
14 (46.7%) |
1 (3.3%) |
1 (3.3%) |
2 (6.7%) |
3 (10.0%) |
3 (10.0%) |
4 (13.3%) |
2 (6.7%) |
0 (0.0%) |
|
FRA |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
1 (3.3%) |
9 (30.0%) |
7 (23.3%) |
7 (23.3%) |
5 (16.7%) |
0 (0.0%) |
|
Manufacturing |
1 (3.3%) |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
8 (26.7%) |
8 (26.7%) |
12 (40.0%) |
0 (0.0%) |
|
|
250+ |
ICT |
2 (6.7%) |
0 (0.0%) |
1 (3.3%) |
1 (3.3%) |
6 (20.0%) |
6 (20.0%) |
5 (16.7%) |
9 (30.0%) |
0 (0.0%) |
|
Manufacturing |
4 (13.3%) |
1 (3.3%) |
3 (10.0%) |
4 (13.3%) |
4 (13.3%) |
3 (10.0%) |
4 (13.3%) |
5 (16.7%) |
2 (6.7%) |
|
GBR |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
7 (23.3%) |
4 (13.3%) |
3 (10.0%) |
8 (26.7%) |
7 (23.3%) |
0 (0.0%) |
|
Manufacturing |
3 (10.0%) |
1 (3.3%) |
2 (6.7%) |
4 (13.3%) |
6 (20.0%) |
0 (0.0%) |
6 (20.0%) |
7 (23.3%) |
1 (3.3%) |
|
|
250+ |
ICT |
5 (16.7%) |
1 (3.3%) |
0 (0.0%) |
1 (3.3%) |
7 (23.3%) |
8 (26.7%) |
3 (10.0%) |
5 (16.7%) |
0 (0.0%) |
|
Manufacturing |
10 (33.3%) |
3 (10.0%) |
2 (6.7%) |
3 (10.0%) |
4 (13.3%) |
3 (10.0%) |
2 (6.7%) |
3 (10.0%) |
0 (0.0%) |
|
ITA |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
2 (6.7%) |
2 (6.7%) |
8 (26.7%) |
11 (36.7%) |
7 (23.3%) |
0 (0.0%) |
|
Manufacturing |
4 (13.3%) |
2 (6.7%) |
2 (6.7%) |
4 (13.3%) |
4 (13.3%) |
5 (16.7%) |
6 (20.0%) |
3 (10.0%) |
0 (0.0%) |
|
|
250+ |
ICT |
1 (3.3%) |
0 (0.0%) |
0 (0.0%) |
3 (10.0%) |
8 (26.7%) |
9 (30.0%) |
5 (16.7%) |
4 (13.3%) |
0 (0.0%) |
|
Manufacturing |
7 (23.3%) |
1 (3.3%) |
3 (10.0%) |
2 (6.7%) |
1 (3.3%) |
5 (16.7%) |
3 (10.0%) |
7 (23.3%) |
1 (3.3%) |
|
JPN |
50-249 |
ICT |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
3 (10.0%) |
4 (13.3%) |
9 (30.0%) |
7 (23.3%) |
6 (20.0%) |
0 (0.0%) |
|
Manufacturing |
5 (16.7%) |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
2 (6.7%) |
2 (6.7%) |
12 (40.0%) |
8 (26.7%) |
0 (0.0%) |
|
|
250+ |
ICT |
3 (10.0%) |
1 (3.3%) |
3 (10.0%) |
4 (13.3%) |
6 (20.0%) |
4 (13.3%) |
3 (10.0%) |
6 (20.0%) |
0 (0.0%) |
|
Manufacturing |
13 (43.3%) |
5 (16.7%) |
1 (3.3%) |
2 (6.7%) |
1 (3.3%) |
4 (13.3%) |
4 (13.3%) |
0 (0.0%) |
0 (0.0%) |
|
USA |
50-249 |
ICT |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
0 (0.0%) |
0 (0.0%) |
4 (13.3%) |
5 (16.7%) |
19 (63.3%) |
1 (3.3%) |
|
Manufacturing |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
0 (0.0%) |
3 (10.0%) |
8 (26.7%) |
7 (23.3%) |
10 (33.3%) |
1 (3.3%) |
|
|
250+ |
ICT |
0 (0.0%) |
0 (0.0%) |
1 (3.3%) |
2 (6.7%) |
3 (10.0%) |
6 (20.0%) |
6 (20.0%) |
12 (40.0%) |
0 (0.0%) |
|
Manufacturing |
9 (30.0%) |
3 (10.0%) |
1 (3.3%) |
3 (10.0%) |
4 (13.3%) |
2 (6.7%) |
2 (6.7%) |
5 (16.7%) |
1 (3.3%) |
Table E.3. Q3 - In the past 12 months, has your enterprise collected or otherwise acquired data from any of the following sources?
Copy link to Table E.3. Q3 - In the past 12 months, has your enterprise collected or otherwise acquired data from any of the following sources?
Country |
Enterprise size |
Sector |
Data collected internally from processes and staff |
Data collected from customers and users |
Data from private data providers, such as organisations dedicated to producing and selling data |
Data from a partner enterprise |
Data from a research institute |
Data from the public sector |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
||
CAN |
50-249 |
ICT |
11 (36.7%) |
19 (63.3%) |
6 (20.0%) |
24 (80.0%) |
13 (43.3%) |
17 (56.7%) |
12 (40.0%) |
18 (60.0%) |
14 (46.7%) |
16 (53.3%) |
15 (50.0%) |
15 (50.0%) |
|
|
MFT |
7 (23.3%) |
23 (76.7%) |
6 (20.0%) |
24 (80.0%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
13 (43.3%) |
17 (56.7%) |
13 (43.3%) |
17 (56.7%) |
||
|
250+ |
ICT |
8 (26.7%) |
22 (73.3%) |
4 (13.3%) |
26 (86.7%) |
12 (40.0%) |
18 (60.0%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
10 (33.3%) |
20 (66.7%) |
|
|
|
MFT |
12 (40.0%) |
18 (60.0%) |
10 (33.3%) |
20 (66.7%) |
10 (33.3%) |
20 (66.7%) |
13 (43.3%) |
17 (56.7%) |
17 (56.7%) |
13 (43.3%) |
19 (63.3%) |
11 (36.7%) |
|
DEU |
50-249 |
ICT |
6 (20.0%) |
24 (80.0%) |
11 (36.7%) |
19 (63.3%) |
10 (33.3%) |
20 (66.7%) |
19 (63.3%) |
11 (36.7%) |
19 (63.3%) |
11 (36.7%) |
18 (60.0%) |
12 (40.0%) |
|
|
|
MFT |
5 (17.2%) |
24 (82.8%) |
10 (34.5%) |
19 (65.5%) |
13 (44.8%) |
16 (55.2%) |
13 (44.8%) |
16 (55.2%) |
10 (34.5%) |
19 (65.5%) |
12 (41.4%) |
17 (58.6%) |
|
|
250+ |
ICT |
10 (33.3%) |
20 (66.7%) |
6 (20.0%) |
24 (80.0%) |
14 (46.7%) |
16 (53.3%) |
10 (33.3%) |
20 (66.7%) |
20 (66.7%) |
10 (33.3%) |
15 (50.0%) |
15 (50.0%) |
|
|
|
MFT |
8 (26.7%) |
22 (73.3%) |
7 (23.3%) |
23 (76.7%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
12 (40.0%) |
18 (60.0%) |
17 (56.7%) |
13 (43.3%) |
|
FRA |
50-249 |
ICT |
11 (36.7%) |
19 (63.3%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
8 (26.7%) |
22 (73.3%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
|
|
|
MFT |
1 (3.3%) |
29 (96.7%) |
3 (10.0%) |
27 (90.0%) |
15 (50.0%) |
15 (50.0%) |
10 (33.3%) |
20 (66.7%) |
9 (30.0%) |
21 (70.0%) |
13 (43.3%) |
17 (56.7%) |
|
|
250+ |
ICT |
8 (26.7%) |
22 (73.3%) |
4 (13.3%) |
26 (86.7%) |
16 (53.3%) |
14 (46.7%) |
13 (43.3%) |
17 (56.7%) |
14 (46.7%) |
16 (53.3%) |
13 (43.3%) |
17 (56.7%) |
|
|
|
MFT |
8 (26.7%) |
22 (73.3%) |
6 (20.0%) |
24 (80.0%) |
13 (43.3%) |
17 (56.7%) |
11 (36.7%) |
19 (63.3%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
|
GBR |
50-249 |
ICT |
8 (26.7%) |
22 (73.3%) |
6 (20.0%) |
24 (80.0%) |
12 (40.0%) |
18 (60.0%) |
15 (50.0%) |
15 (50.0%) |
14 (46.7%) |
16 (53.3%) |
13 (43.3%) |
17 (56.7%) |
|
|
|
MFT |
6 (20.0%) |
24 (80.0%) |
9 (30.0%) |
21 (70.0%) |
8 (26.7%) |
22 (73.3%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
10 (33.3%) |
20 (66.7%) |
|
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
6 (20.0%) |
24 (80.0%) |
7 (23.3%) |
23 (76.7%) |
12 (40.0%) |
18 (60.0%) |
15 (50.0%) |
15 (50.0%) |
10 (33.3%) |
20 (66.7%) |
|
|
|
MFT |
5 (16.7%) |
25 (83.3%) |
9 (30.0%) |
21 (70.0%) |
12 (40.0%) |
18 (60.0%) |
12 (40.0%) |
18 (60.0%) |
14 (46.7%) |
16 (53.3%) |
11 (36.7%) |
19 (63.3%) |
|
ITA |
50-249 |
ICT |
6 (20.0%) |
24 (80.0%) |
11 (36.7%) |
19 (63.3%) |
17 (56.7%) |
13 (43.3%) |
18 (60.0%) |
12 (40.0%) |
12 (40.0%) |
18 (60.0%) |
18 (60.0%) |
12 (40.0%) |
|
|
|
MFT |
7 (23.3%) |
23 (76.7%) |
14 (46.7%) |
16 (53.3%) |
17 (56.7%) |
13 (43.3%) |
11 (36.7%) |
19 (63.3%) |
15 (50.0%) |
15 (50.0%) |
18 (60.0%) |
12 (40.0%) |
|
|
250+ |
ICT |
6 (20.0%) |
24 (80.0%) |
12 (40.0%) |
18 (60.0%) |
13 (43.3%) |
17 (56.7%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
12 (40.0%) |
18 (60.0%) |
|
|
|
MFT |
11 (36.7%) |
19 (63.3%) |
10 (33.3%) |
20 (66.7%) |
13 (43.3%) |
17 (56.7%) |
19 (63.3%) |
11 (36.7%) |
11 (36.7%) |
19 (63.3%) |
16 (53.3%) |
14 (46.7%) |
|
JPN |
50-249 |
ICT |
2 (6.7%) |
28 (93.3%) |
9 (30.0%) |
21 (70.0%) |
11 (36.7%) |
19 (63.3%) |
12 (40.0%) |
18 (60.0%) |
20 (66.7%) |
10 (33.3%) |
22 (73.3%) |
8 (26.7%) |
|
|
|
MFT |
3 (10.0%) |
27 (90.0%) |
8 (26.7%) |
22 (73.3%) |
9 (30.0%) |
21 (70.0%) |
6 (20.0%) |
24 (80.0%) |
12 (40.0%) |
18 (60.0%) |
16 (53.3%) |
14 (46.7%) |
|
|
250+ |
ICT |
7 (23.3%) |
23 (76.7%) |
9 (30.0%) |
21 (70.0%) |
11 (36.7%) |
19 (63.3%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
|
|
|
MFT |
5 (16.7%) |
25 (83.3%) |
7 (23.3%) |
23 (76.7%) |
8 (26.7%) |
22 (73.3%) |
14 (46.7%) |
16 (53.3%) |
11 (36.7%) |
19 (63.3%) |
14 (46.7%) |
16 (53.3%) |
|
USA |
50-249 |
ICT |
8 (27.6%) |
21 (72.4%) |
3 (10.3%) |
26 (89.7%) |
8 (27.6%) |
21 (72.4%) |
12 (41.4%) |
17 (58.6%) |
13 (44.8%) |
16 (55.2%) |
12 (41.4%) |
17 (58.6%) |
|
|
|
MFT |
11 (36.7%) |
19 (63.3%) |
8 (26.7%) |
22 (73.3%) |
7 (23.3%) |
23 (76.7%) |
13 (43.3%) |
17 (56.7%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
|
|
250+ |
ICT |
2 (6.7%) |
28 (93.3%) |
3 (10.0%) |
27 (90.0%) |
12 (40.0%) |
18 (60.0%) |
11 (36.7%) |
19 (63.3%) |
17 (56.7%) |
13 (43.3%) |
13 (43.3%) |
17 (56.7%) |
|
|
|
MFT |
3 (10.0%) |
27 (90.0%) |
3 (10.0%) |
27 (90.0%) |
9 (30.0%) |
21 (70.0%) |
13 (43.3%) |
17 (56.7%) |
12 (40.0%) |
18 (60.0%) |
14 (46.7%) |
16 (53.3%) |
Note: MFT = Manufacturing.
Table E.4. Q4 - Does your enterprise use a data management solution, such as a data lake?
Copy link to Table E.4. Q4 - Does your enterprise use a data management solution, such as a data lake?
Country |
Enterprise size |
Sector |
No |
We are unfamiliar with this concept |
Yes |
---|---|---|---|---|---|
CAN |
50-249 |
ICT |
7 (23.3%) |
0 (0.0%) |
23 (76.7%) |
|
Manufacturing |
5 (16.7%) |
0 (0.0%) |
25 (83.3%) |
|
|
250+ |
ICT |
4 (13.3%) |
0 (0.0%) |
26 (86.7%) |
|
Manufacturing |
15 (50.0%) |
0 (0.0%) |
15 (50.0%) |
|
DEU |
50-249 |
ICT |
2 (6.7%) |
0 (0.0%) |
28 (93.3%) |
|
Manufacturing |
14 (46.7%) |
0 (0.0%) |
16 (53.3%) |
|
|
250+ |
ICT |
2 (6.7%) |
0 (0.0%) |
28 (93.3%) |
|
Manufacturing |
12 (40.0%) |
0 (0.0%) |
18 (60.0%) |
|
FRA |
50-249 |
ICT |
3 (10.0%) |
0 (0.0%) |
27 (90.0%) |
|
Manufacturing |
2 (6.7%) |
0 (0.0%) |
28 (93.3%) |
|
|
250+ |
ICT |
0 (0.0%) |
1 (3.3%) |
29 (96.7%) |
|
Manufacturing |
5 (16.7%) |
0 (0.0%) |
25 (83.3%) |
|
GBR |
50-249 |
ICT |
5 (16.7%) |
0 (0.0%) |
25 (83.3%) |
|
Manufacturing |
11 (36.7%) |
0 (0.0%) |
19 (63.3%) |
|
|
250+ |
ICT |
3 (10.0%) |
0 (0.0%) |
27 (90.0%) |
|
Manufacturing |
9 (30.0%) |
0 (0.0%) |
21 (70.0%) |
|
ITA |
50-249 |
ICT |
9 (30.0%) |
0 (0.0%) |
21 (70.0%) |
|
Manufacturing |
13 (43.3%) |
0 (0.0%) |
17 (56.7%) |
|
|
250+ |
ICT |
1 (3.3%) |
0 (0.0%) |
29 (96.7%) |
|
Manufacturing |
11 (36.7%) |
0 (0.0%) |
19 (63.3%) |
|
JPN |
50-249 |
ICT |
6 (20.0%) |
0 (0.0%) |
24 (80.0%) |
|
Manufacturing |
6 (20.0%) |
0 (0.0%) |
24 (80.0%) |
|
|
250+ |
ICT |
3 (10.0%) |
0 (0.0%) |
27 (90.0%) |
|
Manufacturing |
7 (23.3%) |
2 (6.7%) |
21 (70.0%) |
|
USA |
50-249 |
ICT |
5 (16.7%) |
0 (0.0%) |
25 (83.3%) |
|
Manufacturing |
17 (56.7%) |
2 (6.7%) |
11 (36.7%) |
|
|
250+ |
ICT |
1 (3.3%) |
0 (0.0%) |
29 (96.7%) |
|
Manufacturing |
2 (6.7%) |
1 (3.3%) |
27 (90.0%) |
Table E.5. Q5 - Do any of the following positions exist in your enterprise structure?
Copy link to Table E.5. Q5 - Do any of the following positions exist in your enterprise structure?If some roles overlap and/or some employees take on multiple roles, please only count them once
Country |
Enterprise size |
Sector |
Statistician / Data engineer |
Machine learning engineer / AI developer |
Data scientist |
AI project manager |
Data protection officer |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
|||
CAN |
50-249 |
ICT |
0 (0.0) |
5 (16.7) |
25 (83.3) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
22 (73.3) |
8 (26.7) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
|
|
MFT |
0 (0.0) |
2 (6.7) |
28 (93.3) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
|
250+ |
ICT |
0 (0.0) |
4 (13.3) |
26 (86.7) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
2 (6.7) |
6 (20.0) |
22 (73.3) |
1 (3.3) |
16 (53.3) |
13 (43.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
|
|
MFT |
1 (3.3) |
12 (40.0) |
17 (56.7) |
1 (3.3) |
13 (43.3) |
16 (53.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
1 (3.3) |
17 (56.7) |
12 (40.0) |
DEU |
50-249 |
ICT |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
|
|
MFT |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
1 (3.3) |
7 (23.3) |
22 (73.3) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
|
250+ |
ICT |
1 (3.3) |
3 (10.0) |
26 (86.7) |
1 (3.3) |
4 (13.3) |
25 (83.3) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
1 (3.3) |
12 (40.0) |
17 (56.7) |
1 (3.3) |
15 (50.0) |
14 (46.7) |
|
|
MFT |
0 (0.0) |
3 (10.0) |
27 (90.0) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
2 (6.7) |
11 (36.7) |
17 (56.7) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
FRA |
50-249 |
ICT |
0 (0.0) |
5 (16.7) |
25 (83.3) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
|
|
MFT |
0 (0.0) |
1 (3.3) |
29 (96.7) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
5 (16.7) |
25 (83.3) |
1 (3.3) |
3 (10.0) |
26 (86.7) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
|
250+ |
ICT |
0 (0.0) |
1 (3.3) |
29 (96.7) |
0 (0.0) |
2 (6.7) |
28 (93.3) |
0 (0.0) |
4 (13.3) |
26 (86.7) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
|
|
MFT |
0 (0.0) |
2 (6.7) |
28 (93.3) |
0 (0.0) |
4 (13.3) |
26 (86.7) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
1 (3.3) |
8 (26.7) |
21 (70.0) |
GBR |
50-249 |
ICT |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
2 (6.7) |
16 (53.3) |
12 (40.0) |
|
|
MFT |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
2 (6.7) |
4 (13.3) |
24 (80.0) |
|
250+ |
ICT |
0 (0.0) |
0 (0.0) |
30 (100) |
0 (0.0) |
2 (6.7) |
28 (93.3) |
2 (6.7) |
5 (16.7) |
23 (76.7) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
|
|
MFT |
0 (0.0) |
4 (13.3) |
26 (86.7) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
2 (6.7) |
4 (13.3) |
24 (80.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
ITA |
50-249 |
ICT |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
|
|
MFT |
0 (0.0) |
7 (23.3) |
23 (76.7) |
1 (3.3) |
7 (23.3) |
22 (73.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
1 (3.3) |
19 (63.3) |
10 (33.3) |
|
250+ |
ICT |
0 (0.0) |
5 (16.7) |
25 (83.3) |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
|
|
MFT |
0 (0.0) |
4 (13.3) |
26 (86.7) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
JPN |
50-249 |
ICT |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
2 (6.7) |
28 (93.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
0 (0.0) |
10 (33.3) |
20 (66.7) |
4 (13.3) |
7 (23.3) |
19 (63.3) |
5 (16.7) |
7 (23.3) |
18 (60.0) |
2 (6.7) |
6 (20.0) |
22 (73.3) |
3 (10.0) |
13 (43.3) |
14 (46.7) |
|
250+ |
ICT |
0 (0.0) |
5 (16.7) |
25 (83.3) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
|
|
MFT |
1 (3.3) |
10 (33.3) |
19 (63.3) |
1 (3.3) |
9 (30.0) |
20 (66.7) |
1 (3.3) |
5 (16.7) |
24 (80.0) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
4 (13.3) |
26 (86.7) |
USA |
50-249 |
ICT |
0 (0.0) |
1 (3.3) |
29 (96.7) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
4 (13.3) |
26 (86.7) |
0 (0.0) |
21 (70.0) |
9 (30.0) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
|
|
MFT |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
|
250+ |
ICT |
0 (0.0) |
1 (3.3) |
29 (96.7) |
0 (0.0) |
2 (6.7) |
28 (93.3) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
1 (3.3) |
12 (40.0) |
17 (56.7) |
|
|
MFT |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
5 (16.7) |
25 (83.3) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
1 (3.3) |
11 (36.7) |
18 (60.0) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.6. Q5 - Do any of the following positions exist in your enterprise structure? (continued)
Copy link to Table E.6. Q5 - Do any of the following positions exist in your enterprise structure? (continued)
Country |
Enterprise size |
Sector |
AI risk manager / AI ethics officer / Digital trust and safety officer or equivalent |
Other position/title with responsibilities for AI |
Chief information officer / Chief digital officer or equivalent |
Chief AI officer |
Chief analytics officer / Chief data officer / Head of data science or equivalent |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
|||
CAN |
50-249 |
ICT |
1 (3.3) |
19 (63.3) |
10 (33.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
23 (76.7) |
7 (23.3) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
0 (0.0) |
13 (43.3) |
17 (56.7) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
|
250+ |
ICT |
1 (3.3) |
16 (53.3) |
13 (43.3) |
4 (13.3) |
13 (43.3) |
13 (43.3) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
1 (3.3) |
22 (73.3) |
7 (23.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
|
|
MFT |
2 (6.7) |
21 (70.0) |
7 (23.3) |
3 (10.0) |
9 (30.0) |
18 (60.0) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
1 (3.3) |
26 (86.7) |
3 (10.0) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
DEU |
50-249 |
ICT |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
24 (80.0) |
6 (20.0) |
0 (0.0) |
5 (16.7) |
25 (83.3) |
|
|
MFT |
1 (3.3) |
13 (43.3) |
16 (53.3) |
3 (10.0) |
11 (36.7) |
16 (53.3) |
2 (6.7) |
9 (30.0) |
19 (63.3) |
3 (10.0) |
18 (60.0) |
9 (30.0) |
3 (10.0) |
10 (33.3) |
17 (56.7) |
|
250+ |
ICT |
1 (3.3) |
12 (40.0) |
17 (56.7) |
2 (6.7) |
10 (33.3) |
18 (60.0) |
1 (3.3) |
5 (16.7) |
24 (80.0) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
|
|
MFT |
2 (6.7) |
16 (53.3) |
12 (40.0) |
5 (16.7) |
12 (40.0) |
13 (43.3) |
2 (6.7) |
5 (16.7) |
23 (76.7) |
2 (6.7) |
24 (80.0) |
4 (13.3) |
2 (6.7) |
14 (46.7) |
14 (46.7) |
FRA |
50-249 |
ICT |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
1 (3.3) |
9 (30.0) |
20 (66.7) |
|
|
MFT |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
|
250+ |
ICT |
0 (0.0) |
12 (40.0) |
18 (60.0) |
2 (6.7) |
13 (43.3) |
15 (50.0) |
0 (0.0) |
0 (0.0) |
30 (100) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
|
|
MFT |
2 (6.7) |
10 (33.3) |
18 (60.0) |
4 (13.3) |
10 (33.3) |
16 (53.3) |
1 (3.3) |
1 (3.3) |
28 (93.3) |
1 (3.3) |
18 (60.0) |
11 (36.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
DEU |
50-249 |
ICT |
5 (16.7) |
13 (43.3) |
12 (40.0) |
1 (3.3) |
17 (56.7) |
12 (40.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
2 (6.7) |
23 (76.7) |
5 (16.7) |
1 (3.3) |
12 (40.0) |
17 (56.7) |
|
|
MFT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
2 (6.7) |
15 (50.0) |
13 (43.3) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
1 (3.3) |
17 (56.7) |
12 (40.0) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
|
250+ |
ICT |
4 (13.3) |
16 (53.3) |
10 (33.3) |
3 (10.0) |
11 (36.7) |
16 (53.3) |
2 (6.7) |
4 (13.3) |
24 (80.0) |
1 (3.3) |
25 (83.3) |
4 (13.3) |
1 (3.3) |
11 (36.7) |
18 (60.0) |
|
|
MFT |
1 (3.3) |
16 (53.3) |
13 (43.3) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
0 (0.0) |
7 (23.3) |
23 (76.7) |
0 (0.0) |
21 (70.0) |
9 (30.0) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
ITA |
50-249 |
ICT |
0 (0.0) |
19 (63.3) |
11 (36.7) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
|
|
MFT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
1 (3.3) |
18 (60.0) |
11 (36.7) |
1 (3.3) |
4 (13.3) |
25 (83.3) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
1 (3.3) |
8 (26.7) |
21 (70.0) |
|
250+ |
ICT |
1 (3.3) |
13 (43.3) |
16 (53.3) |
3 (10.0) |
16 (53.3) |
11 (36.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
|
|
MFT |
3 (10.0) |
17 (56.7) |
10 (33.3) |
2 (6.7) |
16 (53.3) |
12 (40.0) |
3 (10.0) |
7 (23.3) |
20 (66.7) |
3 (10.0) |
17 (56.7) |
10 (33.3) |
2 (6.7) |
12 (40.0) |
16 (53.3) |
JPN |
50-249 |
ICT |
0 (0.0) |
18 (60.0) |
12 (40.0) |
3 (10.0) |
12 (40.0) |
15 (50.0) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
|
|
MFT |
2 (6.7) |
8 (26.7) |
20 (66.7) |
4 (13.3) |
10 (33.3) |
16 (53.3) |
3 (10.0) |
4 (13.3) |
23 (76.7) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
3 (10.0) |
3 (10.0) |
24 (80.0) |
|
250+ |
ICT |
0 (0.0) |
18 (60.0) |
12 (40.0) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
0 (0.0) |
6 (20.0) |
24 (80.0) |
1 (3.3) |
21 (70.0) |
8 (26.7) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
|
|
MFT |
2 (6.7) |
11 (36.7) |
17 (56.7) |
2 (6.7) |
7 (23.3) |
21 (70.0) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
2 (6.7) |
10 (33.3) |
18 (60.0) |
USA |
50-249 |
ICT |
0 (0.0) |
22 (73.3) |
8 (26.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
26 (86.7) |
4 (13.3) |
0 (0.0) |
8 (26.7) |
22 (73.3) |
|
|
MFT |
0 (0.0) |
19 (63.3) |
11 (36.7) |
2 (6.7) |
10 (33.3) |
18 (60.0) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
1 (3.3) |
28 (93.3) |
1 (3.3) |
1 (3.3) |
13 (43.3) |
16 (53.3) |
|
250+ |
ICT |
1 (3.3) |
18 (60.0) |
11 (36.7) |
4 (13.3) |
15 (50.0) |
11 (36.7) |
1 (3.3) |
6 (20.0) |
23 (76.7) |
2 (6.7) |
24 (80.0) |
4 (13.3) |
2 (6.7) |
9 (30.0) |
19 (63.3) |
|
|
MFT |
1 (3.3) |
14 (46.7) |
15 (50.0) |
4 (13.3) |
15 (50.0) |
11 (36.7) |
0 (0.0) |
3 (10.0) |
27 (90.0) |
2 (6.7) |
25 (83.3) |
3 (10.0) |
1 (3.3) |
13 (43.3) |
16 (53.3) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.7. Q6 - In the past 12 months, have any of the following conditions limited the use of cloud computing in your enterprise?
Copy link to Table E.7. Q6 - In the past 12 months, have any of the following conditions limited the use of cloud computing in your enterprise?
Country |
Enterprise size |
Sector |
High cost of retooling systems |
Concerns about corporate compliance |
Concerns about customisation of applications |
Concerns about network stability |
Lack of availability of adequate cloud computing services |
||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Don’t know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
|
CAN |
50-249 |
ICT |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
|
|
MFT |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
|
250+ |
ICT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
25 (83.3) |
5 (16.7) |
|
|
MFT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
DEU |
50-249 |
ICT |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
1 (3.3) |
9 (30.0) |
20 (66.7) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
9 (30.0) |
21 (70.0) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
|
250+ |
ICT |
0 (0.0) |
18 (60.0) |
12 (40.0) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
0 (0.0) |
21 (70.0) |
9 (30.0) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
|
|
MFT |
1 (3.3) |
16 (53.3) |
13 (43.3) |
1 (3.3) |
12 (40.0) |
17 (56.7) |
2 (6.7) |
15 (50.0) |
13 (43.3) |
1 (3.3) |
14 (46.7) |
15 (50.0) |
2 (6.7) |
22 (73.3) |
6 (20.0) |
FRA |
50-249 |
ICT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
21 (70.0) |
9 (30.0) |
|
|
MFT |
0 (0.0) |
5 (16.7) |
25 (83.3) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
|
250+ |
ICT |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
|
|
MFT |
1 (3.3) |
15 (50.0) |
14 (46.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
2 (6.7) |
18 (60.0) |
10 (33.3) |
GBR |
50-249 |
ICT |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
|
|
MFT |
0 (0.0) |
6 (20.0) |
24 (80.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
11 (36.7) |
19 (63.3) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
|
250+ |
ICT |
1 (3.3) |
18 (60.0) |
11 (36.7) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
3 (10.0) |
20 (66.7) |
7 (23.3) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
|
|
MFT |
0 (0.0) |
13 (43.3) |
17 (56.7) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
ITA |
50-249 |
ICT |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
1 (3.3) |
16 (53.3) |
13 (43.3) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
0 (0.0) |
13 (43.3) |
17 (56.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
10 (33.3) |
20 (66.7) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
|
250+ |
ICT |
1 (3.3) |
19 (63.3) |
10 (33.3) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
|
|
MFT |
1 (3.3) |
16 (53.3) |
13 (43.3) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
1 (3.3) |
17 (56.7) |
12 (40.0) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
1 (3.3) |
21 (70.0) |
8 (26.7) |
JPN |
50-249 |
ICT |
0 (0.0) |
11 (36.7) |
19 (63.3) |
1 (3.3) |
15 (50.0) |
14 (46.7) |
0 (0.0) |
12 (40.0) |
18 (60.0) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
0 (0.0) |
24 (80.0) |
6 (20.0) |
|
|
MFT |
1 (3.3) |
9 (30.0) |
20 (66.7) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
1 (3.3) |
9 (30.0) |
20 (66.7) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
1 (3.3) |
10 (33.3) |
19 (63.3) |
|
250+ |
ICT |
0 (0.0) |
16 (53.3) |
14 (46.7) |
1 (3.3) |
19 (63.3) |
10 (33.3) |
1 (3.3) |
12 (40.0) |
17 (56.7) |
2 (6.7) |
12 (40.0) |
16 (53.3) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
|
|
MFT |
1 (3.3) |
19 (63.3) |
10 (33.3) |
0 (0.0) |
17 (56.7) |
13 (43.3) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
20 (66.7) |
10 (33.3) |
0 (0.0) |
21 (70.0) |
9 (30.0) |
USA |
50-249 |
ICT |
1 (3.3) |
13 (43.3) |
16 (53.3) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
2 (6.7) |
19 (63.3) |
9 (30.0) |
0 (0.0) |
24 (80.0) |
6 (20.0) |
|
|
MFT |
1 (3.3) |
9 (30.0) |
20 (66.7) |
0 (0.0) |
18 (60.0) |
12 (40.0) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
16 (53.3) |
14 (46.7) |
0 (0.0) |
19 (63.3) |
11 (36.7) |
|
250+ |
ICT |
1 (3.3) |
15 (50.0) |
14 (46.7) |
0 (0.0) |
14 (46.7) |
16 (53.3) |
0 (0.0) |
15 (50.0) |
15 (50.0) |
1 (3.3) |
23 (76.7) |
6 (20.0) |
1 (3.3) |
26 (86.7) |
3 (10.0) |
|
|
MFT |
1 (3.3) |
18 (60.0) |
11 (36.7) |
0 (0.0) |
13 (43.3) |
17 (56.7) |
1 (3.3) |
15 (50.0) |
14 (46.7) |
1 (3.3) |
20 (66.7) |
9 (30.0) |
0 (0.0) |
25 (83.3) |
5 (16.7) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.8. Q6 - In the past 12 months, have any of the following conditions limited the use of cloud computing in your enterprise? (continued)
Copy link to Table E.8. Q6 - In the past 12 months, have any of the following conditions limited the use of cloud computing in your enterprise? (continued)
Country |
Enterprise size |
Sector |
Do not see the advantages of cloud computing |
Lack of support from top management |
Lack of IT skills |
The enterprise uses cloud computing without difficulty |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Don’t know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
Don't know |
No |
Yes |
|
CAN |
50-249 |
ICT |
0 (0.0%) |
27 (90.0%) |
3 (10.0%) |
0 (0.0%) |
24 (80.0%) |
6 (20.0%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
11 (36.7%) |
19 (63.3%) |
|
|
MFT |
2 (6.7%) |
16 (53.3%) |
12 (40.0%) |
0 (0.0%) |
16 (53.3%) |
14 (46.7%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
11 (36.7%) |
19 (63.3%) |
|
250+ |
ICT |
0 (0.0%) |
26 (86.7%) |
4 (13.3%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
21 (70.0%) |
9 (30.0%) |
1 (3.3%) |
12 (40.0%) |
17 (56.7%) |
|
|
MFT |
1 (3.3%) |
18 (60.0%) |
11 (36.7%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
17 (56.7%) |
13 (43.3%) |
0 (0.0%) |
12 (40.0%) |
18 (60.0%) |
DEU |
50-249 |
ICT |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
21 (70.0%) |
9 (30.0%) |
0 (0.0%) |
17 (56.7%) |
13 (43.3%) |
1 (3.3%) |
17 (56.7%) |
12 (40.0%) |
|
|
MFT |
1 (3.3%) |
16 (53.3%) |
13 (43.3%) |
1 (3.3%) |
18 (60.0%) |
11 (36.7%) |
1 (3.3%) |
22 (73.3%) |
7 (23.3%) |
1 (3.3%) |
9 (30.0%) |
20 (66.7%) |
|
250+ |
ICT |
0 (0.0%) |
23 (76.7%) |
7 (23.3%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
12 (40.0%) |
18 (60.0%) |
|
|
MFT |
2 (6.7%) |
24 (80.0%) |
4 (13.3%) |
2 (6.7%) |
20 (66.7%) |
8 (26.7%) |
2 (6.7%) |
20 (66.7%) |
8 (26.7%) |
3 (10.0%) |
13 (43.3%) |
14 (46.7%) |
FRA |
50-249 |
ICT |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
26 (86.7%) |
4 (13.3%) |
0 (0.0%) |
14 (46.7%) |
16 (53.3%) |
|
|
MFT |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
15 (50.0%) |
15 (50.0%) |
0 (0.0%) |
13 (43.3%) |
17 (56.7%) |
0 (0.0%) |
6 (20.0%) |
24 (80.0%) |
|
250+ |
ICT |
0 (0.0%) |
25 (83.3%) |
5 (16.7%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
1 (3.3%) |
7 (23.3%) |
22 (73.3%) |
|
|
MFT |
1 (3.3%) |
18 (60.0%) |
11 (36.7%) |
1 (3.3%) |
22 (73.3%) |
7 (23.3%) |
0 (0.0%) |
15 (50.0%) |
15 (50.0%) |
0 (0.0%) |
11 (36.7%) |
19 (63.3%) |
GBR |
50-249 |
ICT |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
16 (53.3%) |
14 (46.7%) |
0 (0.0%) |
10 (33.3%) |
20 (66.7%) |
|
|
MFT |
1 (3.3%) |
21 (70.0%) |
8 (26.7%) |
0 (0.0%) |
16 (53.3%) |
14 (46.7%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
1 (3.3%) |
25 (83.3%) |
4 (13.3%) |
1 (3.3%) |
23 (76.7%) |
6 (20.0%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
12 (40.0%) |
18 (60.0%) |
|
|
MFT |
0 (0.0%) |
25 (83.3%) |
5 (16.7%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
15 (50.0%) |
15 (50.0%) |
ITA |
50-249 |
ICT |
0 (0.0%) |
21 (70.0%) |
9 (30.0%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
|
|
MFT |
0 (0.0%) |
21 (70.0%) |
9 (30.0%) |
0 (0.0%) |
23 (76.7%) |
7 (23.3%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
1 (3.3%) |
14 (46.7%) |
15 (50.0%) |
|
250+ |
ICT |
0 (0.0%) |
28 (93.3%) |
2 (6.7%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
8 (26.7%) |
22 (73.3%) |
|
|
MFT |
2 (6.7%) |
21 (70.0%) |
7 (23.3%) |
1 (3.3%) |
21 (70.0%) |
8 (26.7%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
2 (6.7%) |
11 (36.7%) |
17 (56.7%) |
JPN |
50-249 |
ICT |
0 (0.0%) |
23 (76.7%) |
7 (23.3%) |
0 (0.0%) |
24 (80.0%) |
6 (20.0%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
10 (33.3%) |
20 (66.7%) |
|
|
MFT |
1 (3.3%) |
16 (53.3%) |
13 (43.3%) |
0 (0.0%) |
19 (63.3%) |
11 (36.7%) |
0 (0.0%) |
13 (43.3%) |
17 (56.7%) |
2 (6.7%) |
17 (56.7%) |
11 (36.7%) |
|
250+ |
ICT |
1 (3.3%) |
23 (76.7%) |
6 (20.0%) |
0 (0.0%) |
24 (80.0%) |
6 (20.0%) |
0 (0.0%) |
25 (83.3%) |
5 (16.7%) |
0 (0.0%) |
5 (16.7%) |
25 (83.3%) |
|
|
MFT |
0 (0.0%) |
24 (80.0%) |
6 (20.0%) |
0 (0.0%) |
23 (76.7%) |
7 (23.3%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
16 (53.3%) |
14 (46.7%) |
USA |
50-249 |
ICT |
0 (0.0%) |
29 (96.7%) |
1 (3.3%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
22 (73.3%) |
8 (26.7%) |
0 (0.0%) |
10 (33.3%) |
20 (66.7%) |
|
|
MFT |
0 (0.0%) |
26 (86.7%) |
4 (13.3%) |
0 (0.0%) |
23 (76.7%) |
7 (23.3%) |
0 (0.0%) |
20 (66.7%) |
10 (33.3%) |
0 (0.0%) |
12 (40.0%) |
18 (60.0%) |
|
250+ |
ICT |
0 (0.0%) |
29 (96.7%) |
1 (3.3%) |
1 (3.3%) |
23 (76.7%) |
6 (20.0%) |
0 (0.0%) |
18 (60.0%) |
12 (40.0%) |
0 (0.0%) |
14 (46.7%) |
16 (53.3%) |
|
|
MFT |
1 (3.3%) |
24 (80.0%) |
5 (16.7%) |
0 (0.0%) |
24 (80.0%) |
6 (20.0%) |
0 (0.0%) |
21 (70.0%) |
9 (30.0%) |
0 (0.0%) |
13 (43.3%) |
17 (56.7%) |
Note: MFT = Manufacturing.
Table E.9. Q7 - In the past 12 months, has your enterprise implemented any of the following practices to develop artificial intelligence?
Copy link to Table E.9. Q7 - In the past 12 months, has your enterprise implemented any of the following practices to develop artificial intelligence?
Country |
Enterprise size |
Sector |
Training of employees |
Hiring new staff |
R&D on AI to use by the enterprise |
Purchase of off-the-shelf software or hardware or through business advisory services such as consultancy |
Use of customised systems built by third parties |
Created a senior management role or a team with responsibilities for AI |
Partnership with a national or international enterprise with capacities in AI |
|||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
|
CAN |
50-249 |
ICT |
8 (26.7) |
22 (73.3) |
10 (33.3) |
20 (66.7) |
8 (26.7) |
22 (73.3) |
15 (50.0) |
15 (50.0) |
11 (36.7) |
19 (63.3) |
16 (53.3) |
14 (46.7) |
21 (70.0) |
9 (30.0) |
|
|
MFT |
9 (30.0) |
21 (70.0) |
10 (33.3) |
20 (66.7) |
12 (40.0) |
18 (60.0) |
13 (43.3) |
17 (56.7) |
7 (23.3) |
23 (76.7) |
9 (30.0) |
21 (70.0) |
12 (40.0) |
18 (60.0) |
|
250+ |
ICT |
9 (30.0) |
21 (70.0) |
9 (30.0) |
21 (70.0) |
9 (30.0) |
21 (70.0) |
14 (46.7) |
16 (53.3) |
8 (26.7) |
22 (73.3) |
20 (66.7) |
10 (33.3) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
10 (33.3) |
20 (66.7) |
19 (63.3) |
11 (36.7) |
4 (13.3) |
26 (86.7) |
11 (36.7) |
19 (63.3) |
14 (46.7) |
16 (53.3) |
18 (60.0) |
12 (40.0) |
15 (50.0) |
15 (50.0) |
DEU |
50-249 |
ICT |
6 (20.0) |
24 (80.0) |
16 (53.3) |
14 (46.7) |
5 (16.7) |
25 (83.3) |
16 (53.3) |
14 (46.7) |
18 (60.0) |
12 (40.0) |
13 (43.3) |
17 (56.7) |
20 (66.7) |
10 (33.3) |
|
|
MFT |
10 (33.3) |
20 (66.7) |
17 (56.7) |
13 (43.3) |
8 (26.7) |
22 (73.3) |
14 (46.7) |
16 (53.3) |
15 (50.0) |
15 (50.0) |
12 (40.0) |
18 (60.0) |
14 (46.7) |
16 (53.3) |
|
250+ |
ICT |
4 (13.3) |
26 (86.7) |
10 (33.3) |
20 (66.7) |
9 (30.0) |
21 (70.0) |
19 (63.3) |
11 (36.7) |
14 (46.7) |
16 (53.3) |
15 (50.0) |
15 (50.0) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
11 (36.7) |
19 (63.3) |
14 (46.7) |
16 (53.3) |
8 (26.7) |
22 (73.3) |
9 (30.0) |
21 (70.0) |
15 (50.0) |
15 (50.0) |
15 (50.0) |
15 (50.0) |
12 (40.0) |
18 (60.0) |
FRA |
50-249 |
ICT |
8 (26.7) |
22 (73.3) |
11 (36.7) |
19 (63.3) |
8 (26.7) |
22 (73.3) |
9 (30.0) |
21 (70.0) |
11 (36.7) |
19 (63.3) |
16 (53.3) |
14 (46.7) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
2 (6.7) |
28 (93.3) |
6 (20.0) |
24 (80.0) |
14 (46.7) |
16 (53.3) |
9 (30.0) |
21 (70.0) |
11 (36.7) |
19 (63.3) |
10 (33.3) |
20 (66.7) |
11 (36.7) |
19 (63.3) |
|
250+ |
ICT |
7 (23.3) |
23 (76.7) |
9 (30.0) |
21 (70.0) |
5 (16.7) |
25 (83.3) |
14 (46.7) |
16 (53.3) |
15 (50.0) |
15 (50.0) |
16 (53.3) |
14 (46.7) |
12 (40.0) |
18 (60.0) |
|
|
MFT |
6 (20.0) |
24 (80.0) |
5 (16.7) |
25 (83.3) |
10 (33.3) |
20 (66.7) |
8 (26.7) |
22 (73.3) |
10 (33.3) |
20 (66.7) |
11 (36.7) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
GBR |
50-249 |
ICT |
9 (30.0) |
21 (70.0) |
18 (60.0) |
12 (40.0) |
12 (40.0) |
18 (60.0) |
13 (43.3) |
17 (56.7) |
7 (23.3) |
23 (76.7) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
11 (36.7) |
|
|
MFT |
6 (20.0) |
24 (80.0) |
15 (50.0) |
15 (50.0) |
10 (33.3) |
20 (66.7) |
8 (26.7) |
22 (73.3) |
8 (26.7) |
22 (73.3) |
12 (40.0) |
18 (60.0) |
18 (60.0) |
12 (40.0) |
|
250+ |
ICT |
10 (34.5) |
19 (65.5) |
5 (17.2) |
24 (82.8) |
7 (24.1) |
22 (75.9) |
12 (41.4) |
17 (58.6) |
14 (48.3) |
15 (51.7) |
9 (31.0) |
20 (69.0) |
15 (51.7) |
14 (48.3) |
|
|
MFT |
5 (16.7) |
25 (83.3) |
7 (23.3) |
23 (76.7) |
7 (23.3) |
23 (76.7) |
13 (43.3) |
17 (56.7) |
12 (40.0) |
18 (60.0) |
12 (40.0) |
18 (60.0) |
16 (53.3) |
14 (46.7) |
ITA |
50-249 |
ICT |
9 (30.0) |
21 (70.0) |
14 (46.7) |
16 (53.3) |
7 (23.3) |
23 (76.7) |
16 (53.3) |
14 (46.7) |
14 (46.7) |
16 (53.3) |
17 (56.7) |
13 (43.3) |
17 (56.7) |
13 (43.3) |
|
|
MFT |
8 (26.7) |
22 (73.3) |
15 (50.0) |
15 (50.0) |
10 (33.3) |
20 (66.7) |
18 (60.0) |
12 (40.0) |
10 (33.3) |
20 (66.7) |
16 (53.3) |
14 (46.7) |
16 (53.3) |
14 (46.7) |
|
250+ |
ICT |
9 (30.0) |
21 (70.0) |
13 (43.3) |
17 (56.7) |
8 (26.7) |
22 (73.3) |
16 (53.3) |
14 (46.7) |
11 (36.7) |
19 (63.3) |
16 (53.3) |
14 (46.7) |
22 (73.3) |
8 (26.7) |
|
|
MFT |
6 (20.0) |
24 (80.0) |
13 (43.3) |
17 (56.7) |
12 (40.0) |
18 (60.0) |
10 (33.3) |
20 (66.7) |
17 (56.7) |
13 (43.3) |
18 (60.0) |
12 (40.0) |
14 (46.7) |
16 (53.3) |
JPN |
50-249 |
ICT |
6 (20.0) |
24 (80.0) |
16 (53.3) |
14 (46.7) |
10 (33.3) |
20 (66.7) |
8 (26.7) |
22 (73.3) |
11 (36.7) |
19 (63.3) |
17 (56.7) |
13 (43.3) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
8 (26.7) |
22 (73.3) |
8 (26.7) |
22 (73.3) |
6 (20.0) |
24 (80.0) |
6 (20.0) |
24 (80.0) |
9 (30.0) |
21 (70.0) |
10 (33.3) |
20 (66.7) |
12 (40.0) |
18 (60.0) |
|
250+ |
ICT |
4 (13.3) |
26 (86.7) |
6 (20.0) |
24 (80.0) |
13 (43.3) |
17 (56.7) |
16 (53.3) |
14 (46.7) |
14 (46.7) |
16 (53.3) |
16 (53.3) |
14 (46.7) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
17 (56.7) |
13 (43.3) |
12 (40.0) |
18 (60.0) |
7 (23.3) |
23 (76.7) |
8 (26.7) |
22 (73.3) |
9 (30.0) |
21 (70.0) |
12 (40.0) |
18 (60.0) |
12 (40.0) |
18 (60.0) |
USA |
50-249 |
ICT |
11 (36.7) |
19 (63.3) |
8 (26.7) |
22 (73.3) |
5 (16.7) |
25 (83.3) |
16 (53.3) |
14 (46.7) |
17 (56.7) |
13 (43.3) |
16 (53.3) |
14 (46.7) |
21 (70.0) |
9 (30.0) |
|
|
MFT |
12 (40.0) |
18 (60.0) |
18 (60.0) |
12 (40.0) |
5 (16.7) |
25 (83.3) |
10 (33.3) |
20 (66.7) |
15 (50.0) |
15 (50.0) |
20 (66.7) |
10 (33.3) |
20 (66.7) |
10 (33.3) |
|
250+ |
ICT |
2 (6.7) |
28 (93.3) |
4 (13.3) |
26 (86.7) |
4 (13.3) |
26 (86.7) |
14 (46.7) |
16 (53.3) |
17 (56.7) |
13 (43.3) |
18 (60.0) |
12 (40.0) |
21 (70.0) |
9 (30.0) |
|
|
MFT |
8 (26.7) |
22 (73.3) |
5 (16.7) |
25 (83.3) |
3 (10.0) |
27 (90.0) |
13 (43.3) |
17 (56.7) |
12 (40.0) |
18 (60.0) |
21 (70.0) |
9 (30.0) |
21 (70.0) |
9 (30.0) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.10. Q8 - Services that provide access to information or advice
Copy link to Table E.10. Q8 - Services that provide access to information or advice
Country |
Enterprise size |
Sector |
Services that provide access to information or advice |
Training services |
Services that promote access to finance, such as subsidies or credit guarantees |
|||
---|---|---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
No |
Yes |
|
CAN |
50-249 |
ICT |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
16 (53.3%) |
14 (46.7%) |
|
|
Manufacturing |
2 (6.7%) |
28 (93.3%) |
9 (30.0%) |
21 (70.0%) |
14 (46.7%) |
16 (53.3%) |
|
250+ |
ICT |
12 (41.4%) |
17 (58.6%) |
13 (44.8%) |
16 (55.2%) |
16 (55.2%) |
13 (44.8%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
15 (50.0%) |
15 (50.0%) |
18 (60.0%) |
12 (40.0%) |
DEU |
50-249 |
ICT |
10 (33.3%) |
20 (66.7%) |
14 (46.7%) |
16 (53.3%) |
14 (46.7%) |
16 (53.3%) |
|
|
Manufacturing |
6 (20.0%) |
24 (80.0%) |
12 (40.0%) |
18 (60.0%) |
13 (43.3%) |
17 (56.7%) |
|
250+ |
ICT |
11 (36.7%) |
19 (63.3%) |
13 (43.3%) |
17 (56.7%) |
17 (56.7%) |
13 (43.3%) |
|
|
Manufacturing |
14 (46.7%) |
16 (53.3%) |
16 (53.3%) |
14 (46.7%) |
23 (76.7%) |
7 (23.3%) |
FRA |
50-249 |
ICT |
8 (26.7%) |
22 (73.3%) |
7 (23.3%) |
23 (76.7%) |
15 (50.0%) |
15 (50.0%) |
|
|
Manufacturing |
2 (6.7%) |
28 (93.3%) |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
10 (33.3%) |
20 (66.7%) |
16 (53.3%) |
14 (46.7%) |
17 (56.7%) |
13 (43.3%) |
|
|
Manufacturing |
10 (33.3%) |
20 (66.7%) |
13 (43.3%) |
17 (56.7%) |
19 (63.3%) |
11 (36.7%) |
GBR |
50-249 |
ICT |
9 (30.0%) |
21 (70.0%) |
9 (30.0%) |
21 (70.0%) |
19 (63.3%) |
11 (36.7%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
10 (33.3%) |
20 (66.7%) |
13 (43.3%) |
17 (56.7%) |
|
250+ |
ICT |
10 (35.7%) |
18 (64.3%) |
17 (60.7%) |
11 (39.3%) |
21 (75.0%) |
7 (25.0%) |
|
|
Manufacturing |
7 (24.1%) |
22 (75.9%) |
18 (62.1%) |
11 (37.9%) |
21 (72.4%) |
8 (27.6%) |
ITA |
50-249 |
ICT |
8 (26.7%) |
22 (73.3%) |
13 (43.3%) |
17 (56.7%) |
20 (66.7%) |
10 (33.3%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
8 (26.7%) |
22 (73.3%) |
12 (40.0%) |
18 (60.0%) |
|
250+ |
ICT |
5 (17.2%) |
24 (82.8%) |
12 (41.4%) |
17 (58.6%) |
17 (58.6%) |
12 (41.4%) |
|
|
Manufacturing |
11 (36.7%) |
19 (63.3%) |
15 (50.0%) |
15 (50.0%) |
16 (53.3%) |
14 (46.7%) |
JPN |
50-249 |
ICT |
6 (20.7%) |
23 (79.3%) |
8 (27.6%) |
21 (72.4%) |
14 (48.3%) |
15 (51.7%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
10 (33.3%) |
20 (66.7%) |
12 (40.0%) |
18 (60.0%) |
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
9 (30.0%) |
21 (70.0%) |
17 (56.7%) |
13 (43.3%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
17 (56.7%) |
13 (43.3%) |
16 (53.3%) |
14 (46.7%) |
USA |
50-249 |
ICT |
16 (53.3%) |
14 (46.7%) |
18 (60.0%) |
12 (40.0%) |
24 (80.0%) |
6 (20.0%) |
|
|
Manufacturing |
6 (20.0%) |
24 (80.0%) |
11 (36.7%) |
19 (63.3%) |
24 (80.0%) |
6 (20.0%) |
|
250+ |
ICT |
14 (46.7%) |
16 (53.3%) |
16 (53.3%) |
14 (46.7%) |
24 (80.0%) |
6 (20.0%) |
|
|
Manufacturing |
16 (53.3%) |
14 (46.7%) |
18 (60.0%) |
12 (40.0%) |
25 (83.3%) |
5 (16.7%) |
Table E.11. Q9 - In the past 12 months, has your enterprise established collaborations to develop artificial intelligence …
Copy link to Table E.11. Q9 - In the past 12 months, has your enterprise established collaborations to develop artificial intelligence …
Country |
Enterprise size |
Sector |
With university faculty members, PhD or postdoctoral students? |
With undergraduate students? |
With researchers in public research organisations? |
With other partners? |
||||
---|---|---|---|---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
|
CAN |
50-249 |
ICT |
12 (40.0%) |
18 (60.0%) |
19 (63.3%) |
11 (36.7%) |
19 (63.3%) |
11 (36.7%) |
13 (43.3%) |
17 (56.7%) |
|
|
MFT |
9 (30.0%) |
21 (70.0%) |
15 (50.0%) |
15 (50.0%) |
8 (26.7%) |
22 (73.3%) |
16 (53.3%) |
14 (46.7%) |
|
250+ |
ICT |
19 (63.3%) |
11 (36.7%) |
23 (76.7%) |
7 (23.3%) |
15 (50.0%) |
15 (50.0%) |
14 (46.7%) |
16 (53.3%) |
|
|
MFT |
19 (63.3%) |
11 (36.7%) |
22 (73.3%) |
8 (26.7%) |
16 (53.3%) |
14 (46.7%) |
21 (70.0%) |
9 (30.0%) |
DEU |
50-249 |
ICT |
13 (43.3%) |
17 (56.7%) |
23 (76.7%) |
7 (23.3%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
|
|
MFT |
13 (43.3%) |
17 (56.7%) |
21 (70.0%) |
9 (30.0%) |
14 (46.7%) |
16 (53.3%) |
16 (53.3%) |
14 (46.7%) |
|
250+ |
ICT |
6 (20.0%) |
24 (80.0%) |
19 (63.3%) |
11 (36.7%) |
16 (53.3%) |
14 (46.7%) |
13 (43.3%) |
17 (56.7%) |
|
|
MFT |
6 (20.0%) |
24 (80.0%) |
17 (56.7%) |
13 (43.3%) |
17 (56.7%) |
13 (43.3%) |
16 (53.3%) |
14 (46.7%) |
FRA |
50-249 |
ICT |
14 (46.7%) |
16 (53.3%) |
18 (60.0%) |
12 (40.0%) |
14 (46.7%) |
16 (53.3%) |
16 (53.3%) |
14 (46.7%) |
|
|
MFT |
4 (13.3%) |
26 (86.7%) |
10 (33.3%) |
20 (66.7%) |
11 (36.7%) |
19 (63.3%) |
8 (26.7%) |
22 (73.3%) |
|
250+ |
ICT |
9 (30.0%) |
21 (70.0%) |
20 (66.7%) |
10 (33.3%) |
18 (60.0%) |
12 (40.0%) |
7 (23.3%) |
23 (76.7%) |
|
|
MFT |
7 (23.3%) |
23 (76.7%) |
20 (66.7%) |
10 (33.3%) |
15 (50.0%) |
15 (50.0%) |
9 (30.0%) |
21 (70.0%) |
GBR |
50-249 |
ICT |
18 (60.0%) |
12 (40.0%) |
20 (66.7%) |
10 (33.3%) |
12 (40.0%) |
18 (60.0%) |
16 (53.3%) |
14 (46.7%) |
|
|
MFT |
13 (43.3%) |
17 (56.7%) |
16 (53.3%) |
14 (46.7%) |
13 (43.3%) |
17 (56.7%) |
11 (36.7%) |
19 (63.3%) |
|
250+ |
ICT |
16 (53.3%) |
14 (46.7%) |
19 (63.3%) |
11 (36.7%) |
16 (53.3%) |
14 (46.7%) |
8 (26.7%) |
22 (73.3%) |
|
|
MFT |
15 (50.0%) |
15 (50.0%) |
20 (66.7%) |
10 (33.3%) |
14 (46.7%) |
16 (53.3%) |
12 (40.0%) |
18 (60.0%) |
ITA |
50-249 |
ICT |
13 (43.3%) |
17 (56.7%) |
20 (66.7%) |
10 (33.3%) |
11 (36.7%) |
19 (63.3%) |
18 (60.0%) |
12 (40.0%) |
|
|
MFT |
16 (53.3%) |
14 (46.7%) |
20 (66.7%) |
10 (33.3%) |
9 (30.0%) |
21 (70.0%) |
13 (43.3%) |
17 (56.7%) |
|
250+ |
ICT |
12 (40.0%) |
18 (60.0%) |
23 (76.7%) |
7 (23.3%) |
13 (43.3%) |
17 (56.7%) |
15 (50.0%) |
15 (50.0%) |
|
|
MFT |
12 (40.0%) |
18 (60.0%) |
19 (63.3%) |
11 (36.7%) |
18 (60.0%) |
12 (40.0%) |
15 (50.0%) |
15 (50.0%) |
JPN |
50-249 |
ICT |
18 (60.0%) |
12 (40.0%) |
22 (73.3%) |
8 (26.7%) |
16 (53.3%) |
14 (46.7%) |
13 (43.3%) |
17 (56.7%) |
|
|
MFT |
11 (36.7%) |
19 (63.3%) |
14 (46.7%) |
16 (53.3%) |
5 (16.7%) |
25 (83.3%) |
9 (30.0%) |
21 (70.0%) |
|
250+ |
ICT |
12 (40.0%) |
18 (60.0%) |
24 (80.0%) |
6 (20.0%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
15 (50.0%) |
|
|
MFT |
15 (50.0%) |
15 (50.0%) |
28 (93.3%) |
2 (6.7%) |
14 (46.7%) |
16 (53.3%) |
12 (40.0%) |
18 (60.0%) |
USA |
50-249 |
ICT |
13 (43.3%) |
17 (56.7%) |
21 (70.0%) |
9 (30.0%) |
19 (63.3%) |
11 (36.7%) |
15 (50.0%) |
15 (50.0%) |
|
|
MFT |
19 (65.5%) |
10 (34.5%) |
25 (86.2%) |
4 (13.8%) |
16 (55.2%) |
13 (44.8%) |
6 (20.7%) |
23 (79.3%) |
|
250+ |
ICT |
19 (63.3%) |
11 (36.7%) |
21 (70.0%) |
9 (30.0%) |
19 (63.3%) |
11 (36.7%) |
14 (46.7%) |
16 (53.3%) |
|
|
MFT |
18 (60.0%) |
12 (40.0%) |
22 (73.3%) |
8 (26.7%) |
17 (56.7%) |
13 (43.3%) |
13 (43.3%) |
17 (56.7%) |
Note: MFT = Manufacturing.
Table E.12. Q10 - In the past 12 months, have any of the following obstacles limited your enterprise in implementing artificial intelligence applications?
Copy link to Table E.12. Q10 - In the past 12 months, have any of the following obstacles limited your enterprise in implementing artificial intelligence applications?
Country |
Enterprise size |
Sector |
Difficulties in estimating the returns on investment in AI applications |
Concerns related to data privacy, data protection or data security |
Scarcity of cloud computing solutions that guarantee data security and regulatory compliance |
Lack of clarity about the legal consequences in case of damage caused by the use of AI |
Lack of vendors of AI systems offering solutions tailored to your enterprise's needs |
Lack of external finance for investment to support AI adoption |
Reluctance of staff to adopt AI |
Difficulties to retrain or upskill staff |
||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
No |
Yes |
|
CAN |
50-249 |
ICT |
13 (43.3) |
17 (56.7) |
8 (26.7) |
22 (73.3) |
18 (60.0) |
12 (40.0) |
20 (66.7) |
10 (33.3) |
18 (60.0) |
12 (40.0) |
18 (60.0) |
12 (40.0) |
19 (63.3) |
11 (36.7) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
10 (33.3) |
20 (66.7) |
10 (33.3) |
20 (66.7) |
13 (43.3) |
17 (56.7) |
14 (46.7) |
16 (53.3) |
13 (43.3) |
17 (56.7) |
10 (33.3) |
20 (66.7) |
19 (63.3) |
11 (36.7) |
10 (33.3) |
20 (66.7) |
|
250+ |
ICT |
15 (50.0) |
15 (50.0) |
10 (33.3) |
20 (66.7) |
16 (53.3) |
14 (46.7) |
18 (60.0) |
12 (40.0) |
20 (66.7) |
10 (33.3) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
11 (36.7) |
14 (46.7) |
16 (53.3) |
|
|
MFT |
14 (46.7) |
16 (53.3) |
16 (53.3) |
14 (46.7) |
15 (50.0) |
15 (50.0) |
17 (56.7) |
13 (43.3) |
17 (56.7) |
13 (43.3) |
19 (63.3) |
11 (36.7) |
13 (43.3) |
17 (56.7) |
12 (40.0) |
18 (60.0) |
DEU |
50-249 |
ICT |
12 (40.0) |
18 (60.0) |
17 (56.7) |
13 (43.3) |
14 (46.7) |
16 (53.3) |
20 (66.7) |
10 (33.3) |
12 (40.0) |
18 (60.0) |
17 (56.7) |
13 (43.3) |
21 (70.0) |
9 (30.0) |
20 (66.7) |
10 (33.3) |
|
|
MFT |
8 (26.7) |
22 (73.3) |
13 (43.3) |
17 (56.7) |
20 (66.7) |
10 (33.3) |
12 (40.0) |
18 (60.0) |
19 (63.3) |
11 (36.7) |
14 (46.7) |
16 (53.3) |
19 (63.3) |
11 (36.7) |
8 (26.7) |
22 (73.3) |
|
250+ |
ICT |
16 (53.3) |
14 (46.7) |
13 (43.3) |
17 (56.7) |
18 (60.0) |
12 (40.0) |
16 (53.3) |
14 (46.7) |
20 (66.7) |
10 (33.3) |
20 (66.7) |
10 (33.3) |
14 (46.7) |
16 (53.3) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
11 (36.7) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
22 (73.3) |
8 (26.7) |
16 (53.3) |
14 (46.7) |
15 (50.0) |
15 (50.0) |
24 (80.0) |
6 (20.0) |
12 (40.0) |
18 (60.0) |
15 (50.0) |
15 (50.0) |
FRA |
50-249 |
ICT |
17 (56.7) |
13 (43.3) |
14 (46.7) |
16 (53.3) |
16 (53.3) |
14 (46.7) |
18 (60.0) |
12 (40.0) |
19 (63.3) |
11 (36.7) |
20 (66.7) |
10 (33.3) |
22 (73.3) |
8 (26.7) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
5 (16.7) |
25 (83.3) |
10 (33.3) |
20 (66.7) |
19 (63.3) |
11 (36.7) |
16 (53.3) |
14 (46.7) |
12 (40.0) |
18 (60.0) |
12 (40.0) |
18 (60.0) |
17 (56.7) |
13 (43.3) |
13 (43.3) |
17 (56.7) |
|
250+ |
ICT |
18 (60.0) |
12 (40.0) |
11 (36.7) |
19 (63.3) |
14 (46.7) |
16 (53.3) |
20 (66.7) |
10 (33.3) |
20 (66.7) |
10 (33.3) |
21 (70.0) |
9 (30.0) |
21 (70.0) |
9 (30.0) |
13 (43.3) |
17 (56.7) |
|
|
MFT |
8 (27.6) |
21 (72.4) |
11 (37.9) |
18 (62.1) |
10 (34.5) |
19 (65.5) |
14 (48.3) |
15 (51.7) |
15 (51.7) |
14 (48.3) |
15 (51.7) |
14 (48.3) |
13 (44.8) |
16 (55.2) |
12 (41.4) |
17 (58.6) |
GBR |
50-249 |
ICT |
9 (30.0) |
21 (70.0) |
11 (36.7) |
19 (63.3) |
18 (60.0) |
12 (40.0) |
23 (76.7) |
7 (23.3) |
17 (56.7) |
13 (43.3) |
13 (43.3) |
17 (56.7) |
15 (50.0) |
15 (50.0) |
14 (46.7) |
16 (53.3) |
|
|
MFT |
9 (30.0) |
21 (70.0) |
14 (46.7) |
16 (53.3) |
20 (66.7) |
10 (33.3) |
19 (63.3) |
11 (36.7) |
17 (56.7) |
13 (43.3) |
19 (63.3) |
11 (36.7) |
9 (30.0) |
21 (70.0) |
17 (56.7) |
13 (43.3) |
|
250+ |
ICT |
16 (53.3) |
14 (46.7) |
12 (40.0) |
18 (60.0) |
23 (76.7) |
7 (23.3) |
12 (40.0) |
18 (60.0) |
20 (66.7) |
10 (33.3) |
23 (76.7) |
7 (23.3) |
20 (66.7) |
10 (33.3) |
11 (36.7) |
19 (63.3) |
|
|
MFT |
15 (50.0) |
15 (50.0) |
16 (53.3) |
14 (46.7) |
20 (66.7) |
10 (33.3) |
19 (63.3) |
11 (36.7) |
14 (46.7) |
16 (53.3) |
17 (56.7) |
13 (43.3) |
23 (76.7) |
7 (23.3) |
13 (43.3) |
17 (56.7) |
ITA |
50-249 |
ICT |
11 (37.9) |
18 (62.1) |
16 (55.2) |
13 (44.8) |
15 (51.7) |
14 (48.3) |
20 (69.0) |
9 (31.0) |
14 (48.3) |
15 (51.7) |
12 (41.4) |
17 (58.6) |
20 (69.0) |
9 (31.0) |
17 (58.6) |
12 (41.4) |
|
|
MFT |
16 (53.3) |
14 (46.7) |
14 (46.7) |
16 (53.3) |
15 (50.0) |
15 (50.0) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
11 (36.7) |
18 (60.0) |
12 (40.0) |
17 (56.7) |
13 (43.3) |
19 (63.3) |
11 (36.7) |
|
250+ |
ICT |
12 (40.0) |
18 (60.0) |
18 (60.0) |
12 (40.0) |
13 (43.3) |
17 (56.7) |
15 (50.0) |
15 (50.0) |
21 (70.0) |
9 (30.0) |
21 (70.0) |
9 (30.0) |
20 (66.7) |
10 (33.3) |
17 (56.7) |
13 (43.3) |
|
|
MFT |
14 (48.3) |
15 (51.7) |
21 (72.4) |
8 (27.6) |
21 (72.4) |
8 (27.6) |
15 (51.7) |
14 (48.3) |
19 (65.5) |
10 (34.5) |
20 (69.0) |
9 (31.0) |
18 (62.1) |
11 (37.9) |
16 (55.2) |
13 (44.8) |
JPN |
50-249 |
ICT |
15 (50.0) |
15 (50.0) |
11 (36.7) |
19 (63.3) |
19 (63.3) |
11 (36.7) |
18 (60.0) |
12 (40.0) |
14 (46.7) |
16 (53.3) |
19 (63.3) |
11 (36.7) |
23 (76.7) |
7 (23.3) |
17 (56.7) |
13 (43.3) |
|
|
MFT |
14 (46.7) |
16 (53.3) |
10 (33.3) |
20 (66.7) |
7 (23.3) |
23 (76.7) |
13 (43.3) |
17 (56.7) |
10 (33.3) |
20 (66.7) |
13 (43.3) |
17 (56.7) |
14 (46.7) |
16 (53.3) |
12 (40.0) |
18 (60.0) |
|
250+ |
ICT |
8 (26.7) |
22 (73.3) |
14 (46.7) |
16 (53.3) |
20 (66.7) |
10 (33.3) |
14 (46.7) |
16 (53.3) |
9 (30.0) |
21 (70.0) |
19 (63.3) |
11 (36.7) |
19 (63.3) |
11 (36.7) |
16 (53.3) |
14 (46.7) |
|
|
MFT |
15 (50.0) |
15 (50.0) |
17 (56.7) |
13 (43.3) |
15 (50.0) |
15 (50.0) |
17 (56.7) |
13 (43.3) |
17 (56.7) |
13 (43.3) |
18 (60.0) |
12 (40.0) |
19 (63.3) |
11 (36.7) |
11 (36.7) |
19 (63.3) |
USA |
50-249 |
ICT |
11 (36.7) |
19 (63.3) |
15 (50.0) |
15 (50.0) |
23 (76.7) |
7 (23.3) |
21 (70.0) |
9 (30.0) |
22 (73.3) |
8 (26.7) |
19 (63.3) |
11 (36.7) |
23 (76.7) |
7 (23.3) |
15 (50.0) |
15 (50.0) |
|
|
MFT |
10 (34.5) |
19 (65.5) |
9 (31.0) |
20 (69.0) |
15 (51.7) |
14 (48.3) |
15 (51.7) |
14 (48.3) |
14 (48.3) |
15 (51.7) |
22 (75.9) |
7 (24.1) |
18 (62.1) |
11 (37.9) |
16 (55.2) |
13 (44.8) |
|
250+ |
ICT |
13 (43.3) |
17 (56.7) |
10 (33.3) |
20 (66.7) |
22 (73.3) |
8 (26.7) |
17 (56.7) |
13 (43.3) |
22 (73.3) |
8 (26.7) |
24 (80.0) |
6 (20.0) |
21 (70.0) |
9 (30.0) |
10 (33.3) |
20 (66.7) |
|
|
MFT |
9 (30.0) |
21 (70.0) |
14 (46.7) |
16 (53.3) |
22 (73.3) |
8 (26.7) |
19 (63.3) |
11 (36.7) |
16 (53.3) |
14 (46.7) |
26 (86.7) |
4 (13.3) |
18 (60.0) |
12 (40.0) |
17 (56.7) |
13 (43.3) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.13. Q11 - In the last 12 months, has your enterprise recruited graduates in artificial intelligence, machine learning or related fields?
Copy link to Table E.13. Q11 - In the last 12 months, has your enterprise recruited graduates in artificial intelligence, machine learning or related fields?
Country |
Enterprise size |
Sector |
No, because we did not have specific vacancies |
No, we could not hire appropriate candidates |
Yes, we were able to hire for our vacancies |
---|---|---|---|---|---|
CAN |
50-249 |
ICT |
3 (10.0%) |
8 (26.7%) |
19 (63.3%) |
|
|
Manufacturing |
3 (10.0%) |
6 (20.0%) |
21 (70.0%) |
|
250+ |
ICT |
4 (13.3%) |
6 (20.0%) |
20 (66.7%) |
|
|
Manufacturing |
13 (43.3%) |
2 (6.7%) |
15 (50.0%) |
DEU |
50-249 |
ICT |
8 (26.7%) |
5 (16.7%) |
17 (56.7%) |
|
|
Manufacturing |
7 (23.3%) |
9 (30.0%) |
14 (46.7%) |
|
250+ |
ICT |
5 (16.7%) |
4 (13.3%) |
21 (70.0%) |
|
|
Manufacturing |
7 (23.3%) |
7 (23.3%) |
16 (53.3%) |
FRA |
50-249 |
ICT |
6 (20.0%) |
10 (33.3%) |
14 (46.7%) |
|
|
Manufacturing |
0 (0.0%) |
1 (3.3%) |
29 (96.7%) |
|
250+ |
ICT |
3 (10.0%) |
3 (10.0%) |
24 (80.0%) |
|
|
Manufacturing |
3 (10.0%) |
4 (13.3%) |
23 (76.7%) |
GBR |
50-249 |
ICT |
9 (30.0%) |
4 (13.3%) |
17 (56.7%) |
|
|
Manufacturing |
9 (30.0%) |
1 (3.3%) |
20 (66.7%) |
|
250+ |
ICT |
7 (23.3%) |
4 (13.3%) |
19 (63.3%) |
|
|
Manufacturing |
7 (23.3%) |
7 (23.3%) |
16 (53.3%) |
ITA |
50-249 |
ICT |
5 (16.7%) |
11 (36.7%) |
14 (46.7%) |
|
|
Manufacturing |
8 (26.7%) |
9 (30.0%) |
13 (43.3%) |
|
250+ |
ICT |
6 (20.0%) |
8 (26.7%) |
16 (53.3%) |
|
|
Manufacturing |
13 (43.3%) |
4 (13.3%) |
13 (43.3%) |
JPN |
50-249 |
ICT |
2 (6.7%) |
7 (23.3%) |
21 (70.0%) |
|
|
Manufacturing |
3 (10.0%) |
3 (10.0%) |
24 (80.0%) |
|
250+ |
ICT |
6 (20.0%) |
7 (23.3%) |
17 (56.7%) |
|
|
Manufacturing |
1 (3.3%) |
8 (26.7%) |
21 (70.0%) |
USA |
50-249 |
ICT |
5 (16.7%) |
6 (20.0%) |
19 (63.3%) |
|
|
Manufacturing |
12 (40.0%) |
6 (20.0%) |
12 (40.0%) |
|
250+ |
ICT |
6 (20.0%) |
4 (13.3%) |
20 (66.7%) |
|
|
Manufacturing |
11 (36.7%) |
2 (6.7%) |
17 (56.7%) |
Table E.14. Q12 - In the past 12 months, has your enterprise experienced difficulties in understanding what skill sets to look for in new AI recruits?
Copy link to Table E.14. Q12 - In the past 12 months, has your enterprise experienced difficulties in understanding what skill sets to look for in new AI recruits?
Country |
Enterprise size |
Sector |
No |
Yes |
---|---|---|---|---|
CAN |
50-249 |
ICT |
14 (46.7%) |
16 (53.3%) |
|
|
Manufacturing |
5 (16.7%) |
25 (83.3%) |
|
250+ |
ICT |
13 (43.3%) |
17 (56.7%) |
|
|
Manufacturing |
20 (66.7%) |
10 (33.3%) |
DEU |
50-249 |
ICT |
14 (46.7%) |
16 (53.3%) |
|
|
Manufacturing |
14 (46.7%) |
16 (53.3%) |
|
250+ |
ICT |
22 (73.3%) |
8 (26.7%) |
|
|
Manufacturing |
12 (40.0%) |
18 (60.0%) |
FRA |
50-249 |
ICT |
14 (46.7%) |
16 (53.3%) |
|
|
Manufacturing |
11 (36.7%) |
19 (63.3%) |
|
250+ |
ICT |
15 (50.0%) |
15 (50.0%) |
|
|
Manufacturing |
14 (46.7%) |
16 (53.3%) |
GBR |
50-249 |
ICT |
13 (43.3%) |
17 (56.7%) |
|
|
Manufacturing |
17 (56.7%) |
13 (43.3%) |
|
250+ |
ICT |
16 (53.3%) |
14 (46.7%) |
|
|
Manufacturing |
16 (53.3%) |
14 (46.7%) |
ITA |
50-249 |
ICT |
13 (43.3%) |
17 (56.7%) |
|
|
Manufacturing |
16 (53.3%) |
14 (46.7%) |
|
250+ |
ICT |
16 (53.3%) |
14 (46.7%) |
|
|
Manufacturing |
22 (73.3%) |
8 (26.7%) |
JPN |
50-249 |
ICT |
15 (50.0%) |
15 (50.0%) |
|
|
Manufacturing |
9 (30.0%) |
21 (70.0%) |
|
250+ |
ICT |
12 (40.0%) |
18 (60.0%) |
|
|
Manufacturing |
10 (33.3%) |
20 (66.7%) |
USA |
50-249 |
ICT |
17 (56.7%) |
13 (43.3%) |
|
|
Manufacturing |
22 (73.3%) |
8 (26.7%) |
|
250+ |
ICT |
18 (60.0%) |
12 (40.0%) |
|
|
Manufacturing |
15 (50.0%) |
15 (50.0%) |
Table E.15. Q13 - How helpful would you say the following types of support could be for your enterprise to strengthen staff skills in AI?
Copy link to Table E.15. Q13 - How helpful would you say the following types of support could be for your enterprise to strengthen staff skills in AI?
Country |
Enterprise size |
Sector |
Partnerships with educational and vocational institutions |
Tax allowances or tax credits for training in AI |
Support to develop qualification frameworks for graduates in the field of AI |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Moder-ately useful |
Not useful at all |
Slightly useful |
Very useful |
Moder-ately useful |
Not useful at all |
Slightly useful |
Very useful |
Moder-ately useful |
Not useful at all |
Slightly useful |
Very useful |
|||
CAN |
50-249 |
ICT |
12 (40.0%) |
0 (0.0%) |
5 (16.7%) |
13 (43.3%) |
14 (46.7%) |
2 (6.7%) |
8 (26.7%) |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
5 (16.7%) |
11 (36.7%) |
|
|
MFT |
11 (36.7%) |
0 (0.0%) |
2 (6.7%) |
17 (56.7%) |
16 (53.3%) |
1 (3.3%) |
5 (16.7%) |
8 (26.7%) |
14 (46.7%) |
0 (0.0%) |
2 (6.7%) |
14 (46.7%) |
|
250+ |
ICT |
12 (40.0%) |
1 (3.3%) |
4 (13.3%) |
13 (43.3%) |
9 (30.0%) |
5 (16.7%) |
3 (10.0%) |
13 (43.3%) |
13 (43.3%) |
1 (3.3%) |
4 (13.3%) |
12 (40.0%) |
|
|
MFT |
15 (50.0%) |
0 (0.0%) |
2 (6.7%) |
13 (43.3%) |
10 (33.3%) |
3 (10.0%) |
12 (40.0%) |
5 (16.7%) |
10 (33.3%) |
0 (0.0%) |
11 (36.7%) |
9 (30.0%) |
DEU |
50-249 |
ICT |
8 (26.7%) |
1 (3.3%) |
5 (16.7%) |
16 (53.3%) |
13 (43.3%) |
4 (13.3%) |
4 (13.3%) |
9 (30.0%) |
9 (30.0%) |
2 (6.7%) |
3 (10.0%) |
16 (53.3%) |
|
|
MFT |
15 (50.0%) |
1 (3.3%) |
3 (10.0%) |
11 (36.7%) |
10 (33.3%) |
1 (3.3%) |
7 (23.3%) |
12 (40.0%) |
15 (50.0%) |
1 (3.3%) |
3 (10.0%) |
11 (36.7%) |
|
250+ |
ICT |
14 (46.7%) |
2 (6.7%) |
5 (16.7%) |
9 (30.0%) |
13 (43.3%) |
5 (16.7%) |
8 (26.7%) |
4 (13.3%) |
8 (26.7%) |
0 (0.0%) |
7 (23.3%) |
15 (50.0%) |
|
|
MFT |
10 (33.3%) |
0 (0.0%) |
4 (13.3%) |
16 (53.3%) |
12 (40.0%) |
4 (13.3%) |
9 (30.0%) |
5 (16.7%) |
16 (53.3%) |
0 (0.0%) |
4 (13.3%) |
10 (33.3%) |
FRA |
50-249 |
ICT |
12 (40.0%) |
0 (0.0%) |
3 (10.0%) |
15 (50.0%) |
10 (33.3%) |
3 (10.0%) |
5 (16.7%) |
12 (40.0%) |
14 (46.7%) |
1 (3.3%) |
6 (20.0%) |
9 (30.0%) |
|
|
MFT |
8 (26.7%) |
0 (0.0%) |
0 (0.0%) |
22 (73.3%) |
14 (46.7%) |
0 (0.0%) |
3 (10.0%) |
13 (43.3%) |
12 (40.0%) |
0 (0.0%) |
2 (6.7%) |
16 (53.3%) |
|
250+ |
ICT |
15 (50.0%) |
0 (0.0%) |
3 (10.0%) |
12 (40.0%) |
6 (20.0%) |
5 (16.7%) |
12 (40.0%) |
7 (23.3%) |
9 (30.0%) |
0 (0.0%) |
4 (13.3%) |
17 (56.7%) |
|
|
MFT |
11 (36.7%) |
1 (3.3%) |
0 (0.0%) |
18 (60.0%) |
11 (36.7%) |
4 (13.3%) |
7 (23.3%) |
8 (26.7%) |
10 (33.3%) |
1 (3.3%) |
3 (10.0%) |
16 (53.3%) |
GBR |
50-249 |
ICT |
10 (33.3%) |
0 (0.0%) |
5 (16.7%) |
15 (50.0%) |
14 (46.7%) |
2 (6.7%) |
8 (26.7%) |
6 (20.0%) |
17 (56.7%) |
1 (3.3%) |
1 (3.3%) |
11 (36.7%) |
|
|
MFT |
9 (30.0%) |
0 (0.0%) |
2 (6.7%) |
19 (63.3%) |
18 (60.0%) |
1 (3.3%) |
2 (6.7%) |
9 (30.0%) |
12 (40.0%) |
0 (0.0%) |
4 (13.3%) |
14 (46.7%) |
|
250+ |
ICT |
15 (50.0%) |
1 (3.3%) |
3 (10.0%) |
11 (36.7%) |
7 (23.3%) |
4 (13.3%) |
6 (20.0%) |
13 (43.3%) |
11 (36.7%) |
1 (3.3%) |
8 (26.7%) |
10 (33.3%) |
|
|
MFT |
12 (40.0%) |
0 (0.0%) |
2 (6.7%) |
16 (53.3%) |
9 (30.0%) |
1 (3.3%) |
11 (36.7%) |
9 (30.0%) |
15 (50.0%) |
0 (0.0%) |
1 (3.3%) |
14 (46.7%) |
ITA |
50-249 |
ICT |
17 (56.7%) |
1 (3.3%) |
6 (20.0%) |
6 (20.0%) |
11 (36.7%) |
2 (6.7%) |
8 (26.7%) |
9 (30.0%) |
14 (46.7%) |
1 (3.3%) |
6 (20.0%) |
9 (30.0%) |
|
|
MFT |
15 (50.0%) |
1 (3.3%) |
6 (20.0%) |
8 (26.7%) |
12 (40.0%) |
2 (6.7%) |
5 (16.7%) |
11 (36.7%) |
17 (56.7%) |
0 (0.0%) |
5 (16.7%) |
8 (26.7%) |
|
250+ |
ICT |
15 (50.0%) |
0 (0.0%) |
10 (33.3%) |
5 (16.7%) |
11 (36.7%) |
2 (6.7%) |
5 (16.7%) |
12 (40.0%) |
9 (30.0%) |
1 (3.3%) |
6 (20.0%) |
14 (46.7%) |
|
|
MFT |
11 (36.7%) |
0 (0.0%) |
5 (16.7%) |
14 (46.7%) |
8 (26.7%) |
4 (13.3%) |
10 (33.3%) |
8 (26.7%) |
14 (46.7%) |
0 (0.0%) |
3 (10.0%) |
13 (43.3%) |
JPN |
50-249 |
ICT |
16 (53.3%) |
0 (0.0%) |
4 (13.3%) |
10 (33.3%) |
9 (30.0%) |
1 (3.3%) |
6 (20.0%) |
14 (46.7%) |
14 (46.7%) |
0 (0.0%) |
2 (6.7%) |
14 (46.7%) |
|
|
MFT |
13 (43.3%) |
0 (0.0%) |
2 (6.7%) |
15 (50.0%) |
14 (46.7%) |
0 (0.0%) |
2 (6.7%) |
14 (46.7%) |
14 (46.7%) |
1 (3.3%) |
1 (3.3%) |
14 (46.7%) |
|
250+ |
ICT |
14 (46.7%) |
0 (0.0%) |
6 (20.0%) |
10 (33.3%) |
6 (20.0%) |
7 (23.3%) |
10 (33.3%) |
7 (23.3%) |
9 (30.0%) |
1 (3.3%) |
6 (20.0%) |
14 (46.7%) |
|
|
MFT |
18 (60.0%) |
0 (0.0%) |
3 (10.0%) |
9 (30.0%) |
13 (43.3%) |
5 (16.7%) |
5 (16.7%) |
7 (23.3%) |
13 (43.3%) |
2 (6.7%) |
4 (13.3%) |
11 (36.7%) |
USA |
50-249 |
ICT |
13 (43.3%) |
2 (6.7%) |
8 (26.7%) |
7 (23.3%) |
9 (30.0%) |
6 (20.0%) |
9 (30.0%) |
6 (20.0%) |
9 (30.0%) |
1 (3.3%) |
12 (40.0%) |
8 (26.7%) |
|
|
MFT |
15 (50.0%) |
1 (3.3%) |
6 (20.0%) |
8 (26.7%) |
10 (33.3%) |
4 (13.3%) |
7 (23.3%) |
9 (30.0%) |
13 (43.3%) |
1 (3.3%) |
8 (26.7%) |
8 (26.7%) |
|
250+ |
ICT |
13 (43.3%) |
2 (6.7%) |
8 (26.7%) |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
10 (33.3%) |
7 (23.3%) |
17 (56.7%) |
1 (3.3%) |
7 (23.3%) |
5 (16.7%) |
|
|
MFT |
7 (23.3%) |
1 (3.3%) |
7 (23.3%) |
15 (50.0%) |
8 (26.7%) |
7 (23.3%) |
6 (20.0%) |
9 (30.0%) |
9 (30.0%) |
4 (13.3%) |
7 (23.3%) |
10 (33.3%) |
Note: MFT = Manufacturing.
Table E.16. Q14 - In your country, a number of public and public-private organisations, such as [X], work to speed up the adoption of digital technologies. In using AI in your enterprise, how helpful would the following types of services provided by the public sector be?
Copy link to Table E.16. Q14 - In your country, a number of public and public-private organisations, such as [X], work to speed up the adoption of digital technologies. In using AI in your enterprise, how helpful would the following types of services provided by the public sector be?
Country |
Enterprise size |
Sector |
Information on and examples of business use cases in your industry |
Information on expected rates of return to investments in AI |
Information on available and reliable technology vendors |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
|||
CAN |
50-249 |
ICT |
8 (26.7) |
9 (30.0) |
0 (0.0) |
13 (43.3) |
7 (23.3) |
20 (66.7) |
0 (0.0) |
3 (10.0) |
3 (10.0) |
9 (30.0) |
1 (3.3) |
17 (56.7) |
|
|
MFT |
2 (6.7) |
13 (43.3) |
0 (0.0) |
15 (50.0) |
2 (6.7) |
19 (63.3) |
0 (0.0) |
9 (30.0) |
3 (10.0) |
10 (33.3) |
0 (0.0) |
17 (56.7) |
|
250+ |
ICT |
7 (23.3) |
9 (30.0) |
0 (0.0) |
14 (46.7) |
3 (10.0) |
15 (50.0) |
2 (6.7) |
10 (33.3) |
4 (13.3) |
11 (36.7) |
0 (0.0) |
15 (50.0) |
|
|
MFT |
2 (6.7) |
13 (43.3) |
0 (0.0) |
15 (50.0) |
6 (20.0) |
11 (36.7) |
0 (0.0) |
13 (43.3) |
9 (30.0) |
9 (30.0) |
1 (3.3) |
11 (36.7) |
DEU |
50-249 |
ICT |
4 (13.3) |
9 (30.0) |
2 (6.7) |
15 (50.0) |
5 (16.7) |
13 (43.3) |
3 (10.0) |
9 (30.0) |
3 (10.0) |
14 (46.7) |
3 (10.0) |
10 (33.3) |
|
|
MFT |
4 (13.3) |
11 (36.7) |
0 (0.0) |
15 (50.0) |
5 (16.7) |
19 (63.3) |
0 (0.0) |
6 (20.0) |
5 (16.7) |
11 (36.7) |
0 (0.0) |
14 (46.7) |
|
250+ |
ICT |
7 (23.3) |
14 (46.7) |
2 (6.7) |
7 (23.3) |
5 (16.7) |
13 (43.3) |
1 (3.3) |
11 (36.7) |
3 (10.0) |
15 (50.0) |
2 (6.7) |
10 (33.3) |
|
|
MFT |
4 (13.3) |
13 (43.3) |
1 (3.3) |
12 (40.0) |
3 (10.0) |
16 (53.3) |
1 (3.3) |
10 (33.3) |
8 (26.7) |
14 (46.7) |
0 (0.0) |
8 (26.7) |
FRA |
50-249 |
ICT |
8 (26.7) |
10 (33.3) |
0 (0.0) |
12 (40.0) |
3 (10.0) |
9 (30.0) |
1 (3.3) |
17 (56.7) |
3 (10.0) |
9 (30.0) |
0 (0.0) |
18 (60.0) |
|
|
MFT |
1 (3.3) |
10 (33.3) |
0 (0.0) |
19 (63.3) |
3 (10.0) |
16 (53.3) |
0 (0.0) |
11 (36.7) |
0 (0.0) |
19 (63.3) |
0 (0.0) |
11 (36.7) |
|
250+ |
ICT |
5 (16.7) |
14 (46.7) |
1 (3.3) |
10 (33.3) |
3 (10.0) |
15 (50.0) |
3 (10.0) |
9 (30.0) |
6 (20.0) |
12 (40.0) |
1 (3.3) |
11 (36.7) |
|
|
MFT |
2 (6.7) |
13 (43.3) |
0 (0.0) |
15 (50.0) |
5 (16.7) |
10 (33.3) |
1 (3.3) |
14 (46.7) |
6 (20.0) |
12 (40.0) |
0 (0.0) |
12 (40.0) |
GBR |
50-249 |
ICT |
7 (23.3) |
11 (36.7) |
0 (0.0) |
12 (40.0) |
4 (13.3) |
15 (50.0) |
0 (0.0) |
11 (36.7) |
5 (16.7) |
15 (50.0) |
1 (3.3) |
9 (30.0) |
|
|
MFT |
1 (3.3) |
5 (16.7) |
0 (0.0) |
24 (80.0) |
1 (3.3) |
19 (63.3) |
0 (0.0) |
10 (33.3) |
4 (13.3) |
14 (46.7) |
0 (0.0) |
12 (40.0) |
|
250+ |
ICT |
6 (20.0) |
9 (30.0) |
3 (10.0) |
12 (40.0) |
7 (23.3) |
12 (40.0) |
2 (6.7) |
9 (30.0) |
2 (6.7) |
14 (46.7) |
1 (3.3) |
13 (43.3) |
|
|
MFT |
3 (10.0) |
11 (36.7) |
0 (0.0) |
16 (53.3) |
3 (10.0) |
19 (63.3) |
1 (3.3) |
7 (23.3) |
4 (13.3) |
12 (40.0) |
0 (0.0) |
14 (46.7) |
ITA |
50-249 |
ICT |
2 (6.7) |
20 (66.7) |
1 (3.3) |
7 (23.3) |
4 (13.3) |
9 (30.0) |
1 (3.3) |
16 (53.3) |
5 (16.7) |
16 (53.3) |
1 (3.3) |
8 (26.7) |
|
|
MFT |
4 (13.3) |
11 (36.7) |
0 (0.0) |
15 (50.0) |
3 (10.0) |
20 (66.7) |
0 (0.0) |
7 (23.3) |
2 (6.7) |
9 (30.0) |
1 (3.3) |
18 (60.0) |
|
250+ |
ICT |
6 (20.0) |
15 (50.0) |
1 (3.3) |
8 (26.7) |
4 (13.3) |
10 (33.3) |
2 (6.7) |
14 (46.7) |
7 (23.3) |
12 (40.0) |
1 (3.3) |
10 (33.3) |
|
|
MFT |
5 (16.7) |
14 (46.7) |
0 (0.0) |
11 (36.7) |
3 (10.0) |
12 (40.0) |
0 (0.0) |
15 (50.0) |
6 (20.0) |
9 (30.0) |
0 (0.0) |
15 (50.0) |
JPN |
50-249 |
ICT |
6 (20.0) |
17 (56.7) |
0 (0.0) |
7 (23.3) |
6 (20.0) |
15 (50.0) |
1 (3.3) |
8 (26.7) |
6 (20.0) |
12 (40.0) |
1 (3.3) |
11 (36.7) |
|
|
MFT |
3 (10.0) |
13 (43.3) |
0 (0.0) |
14 (46.7) |
2 (6.7) |
11 (36.7) |
0 (0.0) |
17 (56.7) |
4 (13.3) |
14 (46.7) |
0 (0.0) |
12 (40.0) |
|
250+ |
ICT |
7 (23.3) |
15 (50.0) |
0 (0.0) |
8 (26.7) |
4 (13.3) |
14 (46.7) |
0 (0.0) |
12 (40.0) |
6 (20.0) |
14 (46.7) |
1 (3.3) |
9 (30.0) |
|
|
MFT |
6 (20.0) |
14 (46.7) |
0 (0.0) |
10 (33.3) |
6 (20.0) |
16 (53.3) |
1 (3.3) |
7 (23.3) |
4 (13.3) |
9 (30.0) |
1 (3.3) |
16 (53.3) |
USA |
50-249 |
ICT |
6 (20.0) |
9 (30.0) |
4 (13.3) |
11 (36.7) |
8 (26.7) |
11 (36.7) |
2 (6.7) |
9 (30.0) |
10 (33.3) |
8 (26.7) |
4 (13.3) |
8 (26.7) |
|
|
MFT |
8 (26.7) |
12 (40.0) |
0 (0.0) |
10 (33.3) |
5 (16.7) |
15 (50.0) |
2 (6.7) |
8 (26.7) |
8 (26.7) |
11 (36.7) |
0 (0.0) |
11 (36.7) |
|
250+ |
ICT |
6 (20.0) |
11 (36.7) |
1 (3.3) |
12 (40.0) |
1 (3.3) |
13 (43.3) |
2 (6.7) |
14 (46.7) |
8 (26.7) |
14 (46.7) |
0 (0.0) |
8 (26.7) |
|
|
MFT |
5 (16.7) |
12 (40.0) |
2 (6.7) |
11 (36.7) |
6 (20.0) |
10 (33.3) |
2 (6.7) |
12 (40.0) |
4 (13.3) |
18 (60.0) |
1 (3.3) |
7 (23.3) |
Note: MFT = Manufacturing. Numbers presented in parentheses are percentages.
Table E.17. Q14 - In your country, a number of public and public-private organisations, such as [X], work to speed up the adoption of digital technologies. In using AI in your enterprise, how helpful would the following types of services provided by the public sector be? (continued)
Copy link to Table E.17. Q14 - In your country, a number of public and public-private organisations, such as [X], work to speed up the adoption of digital technologies. In using AI in your enterprise, how helpful would the following types of services provided by the public sector be? (continued)
Country |
Enterprise size |
Sector |
Information on available and reliable sources of private-sector advice and expertise |
Certification or accreditation schemes for AI solution providers |
Information on current or forthcoming regulations around data or AI |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
|||
CAN |
50-249 |
ICT |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
14 (46.7%) |
7 (23.3%) |
12 (40.0%) |
0 (0.0%) |
11 (36.7%) |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
10 (33.3%) |
|
|
MFT |
3 (10.0%) |
13 (43.3%) |
0 (0.0%) |
14 (46.7%) |
3 (10.0%) |
15 (50.0%) |
0 (0.0%) |
12 (40.0%) |
6 (20.0%) |
12 (40.0%) |
0 (0.0%) |
12 (40.0%) |
|
250+ |
ICT |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
10 (33.3%) |
8 (26.7%) |
13 (43.3%) |
3 (10.0%) |
6 (20.0%) |
5 (16.7%) |
14 (46.7%) |
0 (0.0%) |
11 (36.7%) |
|
|
MFT |
4 (13.3%) |
11 (36.7%) |
1 (3.3%) |
14 (46.7%) |
9 (30.0%) |
16 (53.3%) |
1 (3.3%) |
4 (13.3%) |
3 (10.0%) |
9 (30.0%) |
1 (3.3%) |
17 (56.7%) |
DEU |
50-249 |
ICT |
5 (16.7%) |
13 (43.3%) |
1 (3.3%) |
11 (36.7%) |
8 (26.7%) |
14 (46.7%) |
1 (3.3%) |
7 (23.3%) |
5 (16.7%) |
12 (40.0%) |
0 (0.0%) |
13 (43.3%) |
|
|
MFT |
7 (23.3%) |
10 (33.3%) |
0 (0.0%) |
13 (43.3%) |
3 (10.0%) |
17 (56.7%) |
0 (0.0%) |
10 (33.3%) |
4 (13.3%) |
13 (43.3%) |
0 (0.0%) |
13 (43.3%) |
|
250+ |
ICT |
5 (16.7%) |
15 (50.0%) |
1 (3.3%) |
9 (30.0%) |
5 (16.7%) |
12 (40.0%) |
2 (6.7%) |
11 (36.7%) |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
10 (33.3%) |
|
|
MFT |
8 (26.7%) |
13 (43.3%) |
1 (3.3%) |
8 (26.7%) |
9 (30.0%) |
12 (40.0%) |
2 (6.7%) |
7 (23.3%) |
5 (16.7%) |
10 (33.3%) |
1 (3.3%) |
14 (46.7%) |
FRA |
50-249 |
ICT |
10 (33.3%) |
13 (43.3%) |
0 (0.0%) |
7 (23.3%) |
6 (20.0%) |
12 (40.0%) |
0 (0.0%) |
12 (40.0%) |
3 (10.0%) |
14 (46.7%) |
0 (0.0%) |
13 (43.3%) |
|
|
MFT |
1 (3.3%) |
8 (26.7%) |
0 (0.0%) |
21 (70.0%) |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
14 (46.7%) |
0 (0.0%) |
18 (60.0%) |
0 (0.0%) |
12 (40.0%) |
|
250+ |
ICT |
8 (26.7%) |
15 (50.0%) |
1 (3.3%) |
6 (20.0%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
0 (0.0%) |
15 (50.0%) |
0 (0.0%) |
15 (50.0%) |
|
|
MFT |
3 (10.0%) |
13 (43.3%) |
0 (0.0%) |
14 (46.7%) |
2 (6.7%) |
9 (30.0%) |
3 (10.0%) |
16 (53.3%) |
3 (10.0%) |
10 (33.3%) |
1 (3.3%) |
16 (53.3%) |
GBR |
50-249 |
ICT |
7 (23.3%) |
15 (50.0%) |
1 (3.3%) |
7 (23.3%) |
2 (6.7%) |
15 (50.0%) |
1 (3.3%) |
12 (40.0%) |
7 (23.3%) |
8 (26.7%) |
0 (0.0%) |
15 (50.0%) |
|
|
MFT |
6 (20.0%) |
11 (36.7%) |
0 (0.0%) |
13 (43.3%) |
8 (26.7%) |
14 (46.7%) |
0 (0.0%) |
8 (26.7%) |
3 (10.0%) |
16 (53.3%) |
0 (0.0%) |
11 (36.7%) |
|
250+ |
ICT |
4 (13.3%) |
13 (43.3%) |
2 (6.7%) |
11 (36.7%) |
9 (30.0%) |
11 (36.7%) |
0 (0.0%) |
10 (33.3%) |
4 (13.3%) |
11 (36.7%) |
1 (3.3%) |
14 (46.7%) |
|
|
MFT |
10 (33.3%) |
13 (43.3%) |
0 (0.0%) |
7 (23.3%) |
8 (26.7%) |
12 (40.0%) |
1 (3.3%) |
9 (30.0%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
ITA |
50-249 |
ICT |
5 (16.7%) |
16 (53.3%) |
1 (3.3%) |
8 (26.7%) |
6 (20.0%) |
14 (46.7%) |
1 (3.3%) |
9 (30.0%) |
2 (6.7%) |
18 (60.0%) |
1 (3.3%) |
9 (30.0%) |
|
|
MFT |
5 (16.7%) |
13 (43.3%) |
0 (0.0%) |
12 (40.0%) |
6 (20.0%) |
16 (53.3%) |
0 (0.0%) |
8 (26.7%) |
4 (13.3%) |
15 (50.0%) |
0 (0.0%) |
11 (36.7%) |
|
250+ |
ICT |
5 (16.7%) |
14 (46.7%) |
1 (3.3%) |
10 (33.3%) |
3 (10.0%) |
17 (56.7%) |
2 (6.7%) |
8 (26.7%) |
6 (20.0%) |
18 (60.0%) |
1 (3.3%) |
5 (16.7%) |
|
|
MFT |
7 (23.3%) |
18 (60.0%) |
0 (0.0%) |
5 (16.7%) |
7 (23.3%) |
14 (46.7%) |
2 (6.7%) |
7 (23.3%) |
5 (16.7%) |
7 (23.3%) |
2 (6.7%) |
16 (53.3%) |
JPN |
50-249 |
ICT |
5 (16.7%) |
10 (33.3%) |
0 (0.0%) |
15 (50.0%) |
5 (16.7%) |
17 (56.7%) |
0 (0.0%) |
8 (26.7%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
|
|
MFT |
3 (10.0%) |
12 (40.0%) |
0 (0.0%) |
15 (50.0%) |
4 (13.3%) |
15 (50.0%) |
0 (0.0%) |
11 (36.7%) |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
14 (46.7%) |
|
250+ |
ICT |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
10 (33.3%) |
5 (16.7%) |
17 (56.7%) |
0 (0.0%) |
8 (26.7%) |
3 (10.0%) |
14 (46.7%) |
0 (0.0%) |
13 (43.3%) |
|
|
MFT |
2 (6.7%) |
15 (50.0%) |
3 (10.0%) |
10 (33.3%) |
7 (23.3%) |
11 (36.7%) |
1 (3.3%) |
11 (36.7%) |
7 (23.3%) |
14 (46.7%) |
1 (3.3%) |
8 (26.7%) |
USA |
50-249 |
ICT |
8 (26.7%) |
12 (40.0%) |
3 (10.0%) |
7 (23.3%) |
10 (33.3%) |
9 (30.0%) |
5 (16.7%) |
6 (20.0%) |
7 (23.3%) |
8 (26.7%) |
4 (13.3%) |
11 (36.7%) |
|
|
MFT |
6 (20.0%) |
15 (50.0%) |
1 (3.3%) |
8 (26.7%) |
6 (20.0%) |
13 (43.3%) |
3 (10.0%) |
8 (26.7%) |
5 (16.7%) |
15 (50.0%) |
0 (0.0%) |
10 (33.3%) |
|
250+ |
ICT |
8 (26.7%) |
17 (56.7%) |
0 (0.0%) |
5 (16.7%) |
8 (26.7%) |
12 (40.0%) |
2 (6.7%) |
8 (26.7%) |
4 (13.3%) |
15 (50.0%) |
0 (0.0%) |
11 (36.7%) |
|
|
MFT |
5 (16.7%) |
16 (53.3%) |
2 (6.7%) |
7 (23.3%) |
11 (36.7%) |
11 (36.7%) |
2 (6.7%) |
6 (20.0%) |
11 (36.7%) |
4 (13.3%) |
3 (10.0%) |
12 (40.0%) |
Note: MFT = Manufacturing.
Table E.18. Q15 - How helpful would you say the following initiatives provided by the public sector could be for the adoption of AI in your enterprise?
Copy link to Table E.18. Q15 - How helpful would you say the following initiatives provided by the public sector could be for the adoption of AI in your enterprise?
Country |
Enterprise size |
Sector |
Investing in university education and vocational training in fields related to AI |
Investing in retraining and lifelong learning for employees who work with AI |
Improving understanding of AI among government officials |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
|||
CAN |
50-249 |
ICT |
6 (20.0%) |
11 (36.7%) |
0 (0.0%) |
13 (43.3%) |
1 (3.3%) |
18 (60.0%) |
0 (0.0%) |
11 (36.7%) |
7 (23.3%) |
14 (46.7%) |
1 (3.3%) |
8 (26.7%) |
|
|
MFT |
2 (6.7%) |
13 (43.3%) |
0 (0.0%) |
15 (50.0%) |
3 (10.0%) |
14 (46.7%) |
0 (0.0%) |
13 (43.3%) |
6 (20.0%) |
9 (30.0%) |
0 (0.0%) |
15 (50.0%) |
|
250+ |
ICT |
3 (10.0%) |
16 (53.3%) |
1 (3.3%) |
10 (33.3%) |
3 (10.0%) |
9 (30.0%) |
1 (3.3%) |
17 (56.7%) |
8 (26.7%) |
10 (33.3%) |
3 (10.0%) |
9 (30.0%) |
|
|
MFT |
5 (16.7%) |
13 (43.3%) |
1 (3.3%) |
11 (36.7%) |
6 (20.0%) |
10 (33.3%) |
0 (0.0%) |
14 (46.7%) |
6 (20.0%) |
10 (33.3%) |
2 (6.7%) |
12 (40.0%) |
DEU |
50-249 |
ICT |
4 (13.3%) |
11 (36.7%) |
2 (6.7%) |
13 (43.3%) |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
14 (46.7%) |
6 (20.0%) |
11 (36.7%) |
3 (10.0%) |
10 (33.3%) |
|
|
MFT |
2 (6.7%) |
20 (66.7%) |
0 (0.0%) |
8 (26.7%) |
2 (6.7%) |
15 (50.0%) |
0 (0.0%) |
13 (43.3%) |
8 (26.7%) |
11 (36.7%) |
1 (3.3%) |
10 (33.3%) |
|
250+ |
ICT |
4 (13.3%) |
15 (50.0%) |
1 (3.3%) |
10 (33.3%) |
6 (20.0%) |
9 (30.0%) |
0 (0.0%) |
15 (50.0%) |
9 (30.0%) |
5 (16.7%) |
0 (0.0%) |
16 (53.3%) |
|
|
MFT |
4 (13.3%) |
15 (50.0%) |
1 (3.3%) |
10 (33.3%) |
3 (10.0%) |
15 (50.0%) |
2 (6.7%) |
10 (33.3%) |
7 (23.3%) |
11 (36.7%) |
3 (10.0%) |
9 (30.0%) |
FRA |
50-249 |
ICT |
6 (20.0%) |
10 (33.3%) |
0 (0.0%) |
14 (46.7%) |
4 (13.3%) |
16 (53.3%) |
0 (0.0%) |
10 (33.3%) |
4 (13.3%) |
11 (36.7%) |
0 (0.0%) |
15 (50.0%) |
|
|
MFT |
1 (3.3%) |
10 (33.3%) |
0 (0.0%) |
19 (63.3%) |
0 (0.0%) |
13 (43.3%) |
0 (0.0%) |
17 (56.7%) |
0 (0.0%) |
19 (63.3%) |
0 (0.0%) |
11 (36.7%) |
|
250+ |
ICT |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
6 (20.0%) |
10 (33.3%) |
1 (3.3%) |
13 (43.3%) |
|
|
MFT |
2 (6.7%) |
11 (36.7%) |
0 (0.0%) |
17 (56.7%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
4 (13.3%) |
13 (43.3%) |
2 (6.7%) |
11 (36.7%) |
GBR |
50-249 |
ICT |
7 (23.3%) |
14 (46.7%) |
0 (0.0%) |
9 (30.0%) |
5 (16.7%) |
13 (43.3%) |
0 (0.0%) |
12 (40.0%) |
8 (26.7%) |
13 (43.3%) |
0 (0.0%) |
9 (30.0%) |
|
|
MFT |
4 (13.3%) |
6 (20.0%) |
0 (0.0%) |
20 (66.7%) |
0 (0.0%) |
16 (53.3%) |
0 (0.0%) |
14 (46.7%) |
4 (13.3%) |
11 (36.7%) |
0 (0.0%) |
15 (50.0%) |
|
250+ |
ICT |
4 (13.3%) |
15 (50.0%) |
0 (0.0%) |
11 (36.7%) |
5 (16.7%) |
16 (53.3%) |
0 (0.0%) |
9 (30.0%) |
6 (20.0%) |
10 (33.3%) |
3 (10.0%) |
11 (36.7%) |
|
|
MFT |
1 (3.3%) |
14 (46.7%) |
0 (0.0%) |
15 (50.0%) |
5 (16.7%) |
14 (46.7%) |
0 (0.0%) |
11 (36.7%) |
5 (16.7%) |
13 (43.3%) |
0 (0.0%) |
12 (40.0%) |
ITA |
50-249 |
ICT |
5 (16.7%) |
16 (53.3%) |
2 (6.7%) |
7 (23.3%) |
1 (3.3%) |
10 (33.3%) |
1 (3.3%) |
18 (60.0%) |
6 (20.0%) |
17 (56.7%) |
1 (3.3%) |
6 (20.0%) |
|
|
MFT |
9 (30.0%) |
12 (40.0%) |
0 (0.0%) |
9 (30.0%) |
2 (6.7%) |
11 (36.7%) |
1 (3.3%) |
16 (53.3%) |
7 (23.3%) |
17 (56.7%) |
0 (0.0%) |
6 (20.0%) |
|
250+ |
ICT |
7 (23.3%) |
16 (53.3%) |
0 (0.0%) |
7 (23.3%) |
5 (16.7%) |
12 (40.0%) |
0 (0.0%) |
13 (43.3%) |
9 (30.0%) |
9 (30.0%) |
1 (3.3%) |
11 (36.7%) |
|
|
MFT |
3 (10.0%) |
16 (53.3%) |
1 (3.3%) |
10 (33.3%) |
2 (6.7%) |
8 (26.7%) |
1 (3.3%) |
19 (63.3%) |
7 (23.3%) |
13 (43.3%) |
0 (0.0%) |
10 (33.3%) |
JPN |
50-249 |
ICT |
10 (33.3%) |
15 (50.0%) |
1 (3.3%) |
4 (13.3%) |
5 (16.7%) |
10 (33.3%) |
1 (3.3%) |
14 (46.7%) |
10 (33.3%) |
13 (43.3%) |
0 (0.0%) |
7 (23.3%) |
|
|
MFT |
3 (10.0%) |
6 (20.0%) |
1 (3.3%) |
20 (66.7%) |
3 (10.0%) |
11 (36.7%) |
0 (0.0%) |
16 (53.3%) |
2 (6.7%) |
20 (66.7%) |
0 (0.0%) |
8 (26.7%) |
|
250+ |
ICT |
5 (16.7%) |
17 (56.7%) |
0 (0.0%) |
8 (26.7%) |
7 (23.3%) |
9 (30.0%) |
1 (3.3%) |
13 (43.3%) |
9 (30.0%) |
12 (40.0%) |
1 (3.3%) |
8 (26.7%) |
|
|
MFT |
7 (23.3%) |
12 (40.0%) |
2 (6.7%) |
9 (30.0%) |
6 (20.0%) |
12 (40.0%) |
1 (3.3%) |
11 (36.7%) |
8 (26.7%) |
9 (30.0%) |
3 (10.0%) |
10 (33.3%) |
USA |
50-249 |
ICT |
6 (20.0%) |
12 (40.0%) |
2 (6.7%) |
10 (33.3%) |
4 (13.3%) |
15 (50.0%) |
2 (6.7%) |
9 (30.0%) |
4 (13.3%) |
12 (40.0%) |
4 (13.3%) |
10 (33.3%) |
|
|
MFT |
9 (30.0%) |
11 (36.7%) |
0 (0.0%) |
10 (33.3%) |
3 (10.0%) |
12 (40.0%) |
0 (0.0%) |
15 (50.0%) |
12 (40.0%) |
5 (16.7%) |
2 (6.7%) |
11 (36.7%) |
|
250+ |
ICT |
8 (26.7%) |
14 (46.7%) |
2 (6.7%) |
6 (20.0%) |
6 (20.0%) |
12 (40.0%) |
1 (3.3%) |
11 (36.7%) |
9 (30.0%) |
11 (36.7%) |
2 (6.7%) |
8 (26.7%) |
|
|
MFT |
5 (16.7%) |
13 (43.3%) |
2 (6.7%) |
10 (33.3%) |
5 (16.7%) |
12 (40.0%) |
2 (6.7%) |
11 (36.7%) |
8 (26.7%) |
14 (46.7%) |
3 (10.0%) |
5 (16.7%) |
Note: MFT = Manufacturing.
Table E.19. Q15 - How helpful would you say the following initiatives provided by the public sector could be for the adoption of AI in your enterprise? (continued)
Copy link to Table E.19. Q15 - How helpful would you say the following initiatives provided by the public sector could be for the adoption of AI in your enterprise? (continued)
Country |
Enterprise size |
Sector |
Gathering and publishing administrative public datasets |
Promoting a competitive AI vendor market |
Upgrading IT infrastructure, such as high-speed broadband |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
A little helpful |
Helpful |
Not helpful at all |
Very helpful |
|||
CAN |
50-249 |
ICT |
10 (33.3%) |
11 (36.7%) |
0 (0.0%) |
9 (30.0%) |
2 (6.7%) |
19 (63.3%) |
2 (6.7%) |
7 (23.3%) |
12 (40.0%) |
5 (16.7%) |
0 (0.0%) |
13 (43.3%) |
|
|
MFT |
9 (30.0%) |
9 (30.0%) |
0 (0.0%) |
12 (40.0%) |
5 (16.7%) |
14 (46.7%) |
1 (3.3%) |
10 (33.3%) |
3 (10.0%) |
18 (60.0%) |
0 (0.0%) |
9 (30.0%) |
|
250+ |
ICT |
8 (26.7%) |
13 (43.3%) |
2 (6.7%) |
7 (23.3%) |
9 (30.0%) |
14 (46.7%) |
1 (3.3%) |
6 (20.0%) |
3 (10.0%) |
12 (40.0%) |
1 (3.3%) |
14 (46.7%) |
|
|
MFT |
10 (33.3%) |
11 (36.7%) |
0 (0.0%) |
9 (30.0%) |
7 (23.3%) |
12 (40.0%) |
2 (6.7%) |
9 (30.0%) |
7 (23.3%) |
11 (36.7%) |
1 (3.3%) |
11 (36.7%) |
DEU |
50-249 |
ICT |
7 (23.3%) |
13 (43.3%) |
1 (3.3%) |
9 (30.0%) |
6 (20.0%) |
14 (46.7%) |
1 (3.3%) |
9 (30.0%) |
6 (20.0%) |
8 (26.7%) |
0 (0.0%) |
16 (53.3%) |
|
|
MFT |
9 (30.0%) |
13 (43.3%) |
0 (0.0%) |
8 (26.7%) |
2 (6.7%) |
17 (56.7%) |
0 (0.0%) |
11 (36.7%) |
5 (16.7%) |
15 (50.0%) |
0 (0.0%) |
10 (33.3%) |
|
250+ |
ICT |
9 (30.0%) |
11 (36.7%) |
0 (0.0%) |
10 (33.3%) |
5 (16.7%) |
16 (53.3%) |
0 (0.0%) |
9 (30.0%) |
7 (23.3%) |
11 (36.7%) |
0 (0.0%) |
12 (40.0%) |
|
|
MFT |
4 (13.3%) |
16 (53.3%) |
3 (10.0%) |
7 (23.3%) |
8 (26.7%) |
12 (40.0%) |
1 (3.3%) |
9 (30.0%) |
7 (23.3%) |
12 (40.0%) |
3 (10.0%) |
8 (26.7%) |
FRA |
50-249 |
ICT |
8 (26.7%) |
12 (40.0%) |
0 (0.0%) |
10 (33.3%) |
6 (20.0%) |
13 (43.3%) |
0 (0.0%) |
11 (36.7%) |
6 (20.0%) |
11 (36.7%) |
2 (6.7%) |
11 (36.7%) |
|
|
MFT |
1 (3.3%) |
16 (53.3%) |
0 (0.0%) |
13 (43.3%) |
2 (6.7%) |
12 (40.0%) |
0 (0.0%) |
16 (53.3%) |
1 (3.3%) |
14 (46.7%) |
0 (0.0%) |
15 (50.0%) |
|
250+ |
ICT |
6 (20.0%) |
11 (36.7%) |
1 (3.3%) |
12 (40.0%) |
8 (26.7%) |
14 (46.7%) |
2 (6.7%) |
6 (20.0%) |
10 (33.3%) |
9 (30.0%) |
3 (10.0%) |
8 (26.7%) |
|
|
MFT |
2 (6.7%) |
13 (43.3%) |
1 (3.3%) |
14 (46.7%) |
3 (10.0%) |
14 (46.7%) |
1 (3.3%) |
12 (40.0%) |
3 (10.0%) |
9 (30.0%) |
2 (6.7%) |
16 (53.3%) |
GBR |
50-249 |
ICT |
6 (20.0%) |
13 (43.3%) |
0 (0.0%) |
11 (36.7%) |
6 (20.0%) |
13 (43.3%) |
1 (3.3%) |
10 (33.3%) |
6 (20.0%) |
10 (33.3%) |
2 (6.7%) |
12 (40.0%) |
|
|
MFT |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
14 (46.7%) |
8 (26.7%) |
13 (43.3%) |
0 (0.0%) |
9 (30.0%) |
8 (26.7%) |
12 (40.0%) |
1 (3.3%) |
9 (30.0%) |
|
250+ |
ICT |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
10 (33.3%) |
5 (16.7%) |
14 (46.7%) |
0 (0.0%) |
11 (36.7%) |
6 (20.0%) |
13 (43.3%) |
1 (3.3%) |
10 (33.3%) |
|
|
MFT |
6 (20.0%) |
11 (36.7%) |
2 (6.7%) |
11 (36.7%) |
4 (13.3%) |
12 (40.0%) |
1 (3.3%) |
13 (43.3%) |
4 (13.3%) |
13 (43.3%) |
0 (0.0%) |
13 (43.3%) |
ITA |
50-249 |
ICT |
8 (26.7%) |
16 (53.3%) |
1 (3.3%) |
5 (16.7%) |
7 (23.3%) |
13 (43.3%) |
1 (3.3%) |
9 (30.0%) |
3 (10.0%) |
15 (50.0%) |
1 (3.3%) |
11 (36.7%) |
|
|
MFT |
5 (16.7%) |
17 (56.7%) |
1 (3.3%) |
7 (23.3%) |
6 (20.0%) |
13 (43.3%) |
1 (3.3%) |
10 (33.3%) |
6 (20.0%) |
11 (36.7%) |
0 (0.0%) |
13 (43.3%) |
|
250+ |
ICT |
5 (16.7%) |
14 (46.7%) |
0 (0.0%) |
11 (36.7%) |
7 (23.3%) |
15 (50.0%) |
2 (6.7%) |
6 (20.0%) |
5 (16.7%) |
18 (60.0%) |
0 (0.0%) |
7 (23.3%) |
|
|
MFT |
9 (30.0%) |
15 (50.0%) |
2 (6.7%) |
4 (13.3%) |
2 (6.7%) |
10 (33.3%) |
2 (6.7%) |
16 (53.3%) |
3 (10.0%) |
11 (36.7%) |
1 (3.3%) |
15 (50.0%) |
JPN |
50-249 |
ICT |
8 (26.7%) |
13 (43.3%) |
2 (6.7%) |
7 (23.3%) |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
10 (33.3%) |
4 (13.3%) |
14 (46.7%) |
0 (0.0%) |
12 (40.0%) |
|
|
MFT |
5 (16.7%) |
12 (40.0%) |
0 (0.0%) |
13 (43.3%) |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
10 (33.3%) |
2 (6.7%) |
11 (36.7%) |
0 (0.0%) |
17 (56.7%) |
|
250+ |
ICT |
6 (20.0%) |
15 (50.0%) |
0 (0.0%) |
9 (30.0%) |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
10 (33.3%) |
8 (26.7%) |
11 (36.7%) |
0 (0.0%) |
11 (36.7%) |
|
|
MFT |
9 (30.0%) |
11 (36.7%) |
3 (10.0%) |
7 (23.3%) |
5 (16.7%) |
15 (50.0%) |
1 (3.3%) |
9 (30.0%) |
6 (20.0%) |
9 (30.0%) |
2 (6.7%) |
13 (43.3%) |
USA |
50-249 |
ICT |
4 (13.3%) |
8 (26.7%) |
4 (13.3%) |
14 (46.7%) |
8 (26.7%) |
13 (43.3%) |
2 (6.7%) |
7 (23.3%) |
9 (30.0%) |
10 (33.3%) |
5 (16.7%) |
6 (20.0%) |
|
|
MFT |
11 (36.7%) |
13 (43.3%) |
1 (3.3%) |
5 (16.7%) |
6 (20.0%) |
13 (43.3%) |
1 (3.3%) |
10 (33.3%) |
6 (20.0%) |
12 (40.0%) |
1 (3.3%) |
11 (36.7%) |
|
250+ |
ICT |
8 (26.7%) |
15 (50.0%) |
1 (3.3%) |
6 (20.0%) |
8 (26.7%) |
12 (40.0%) |
1 (3.3%) |
9 (30.0%) |
4 (13.3%) |
14 (46.7%) |
3 (10.0%) |
9 (30.0%) |
|
|
MFT |
13 (43.3%) |
6 (20.0%) |
3 (10.0%) |
8 (26.7%) |
5 (16.7%) |
18 (60.0%) |
1 (3.3%) |
6 (20.0%) |
5 (16.7%) |
11 (36.7%) |
3 (10.0%) |
11 (36.7%) |
Note: MFT = Manufacturing.
Table E.20. Q16 - Some uses of AI that involve autonomous systems might be detrimental to clients, potentially exposing businesses to legal jeopardy. Would you favour regulation that helps to overcome such a problem by establishing clear accountability when AI is used?
Copy link to Table E.20. Q16 - Some uses of AI that involve autonomous systems might be detrimental to clients, potentially exposing businesses to legal jeopardy. Would you favour regulation that helps to overcome such a problem by establishing clear accountability when AI is used?
Country |
Enterprise size |
Sector |
No |
Yes |
---|---|---|---|---|
CAN |
50-249 |
ICT |
4 (13.3%) |
26 (86.7%) |
|
|
Manufacturing |
1 (3.3%) |
29 (96.7%) |
|
250+ |
ICT |
1 (3.3%) |
29 (96.7%) |
|
|
Manufacturing |
5 (16.7%) |
25 (83.3%) |
DEU |
50-249 |
ICT |
6 (20.0%) |
24 (80.0%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
|
250+ |
ICT |
4 (13.3%) |
26 (86.7%) |
|
|
Manufacturing |
10 (33.3%) |
20 (66.7%) |
FRA |
50-249 |
ICT |
2 (6.7%) |
28 (93.3%) |
|
|
Manufacturing |
0 (0.0%) |
30 (100.0%) |
|
250+ |
ICT |
0 (0.0%) |
30 (100.0%) |
|
|
Manufacturing |
7 (23.3%) |
23 (76.7%) |
GBR |
50-249 |
ICT |
1 (3.3%) |
29 (96.7%) |
|
|
Manufacturing |
3 (10.0%) |
27 (90.0%) |
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
ITA |
50-249 |
ICT |
4 (13.3%) |
26 (86.7%) |
|
|
Manufacturing |
3 (10.0%) |
27 (90.0%) |
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
|
|
Manufacturing |
2 (6.7%) |
28 (93.3%) |
JPN |
50-249 |
ICT |
2 (6.7%) |
28 (93.3%) |
|
|
Manufacturing |
1 (3.3%) |
29 (96.7%) |
|
250+ |
ICT |
4 (13.3%) |
26 (86.7%) |
|
|
Manufacturing |
2 (6.7%) |
28 (93.3%) |
USA |
50-249 |
ICT |
4 (13.3%) |
26 (86.7%) |
|
|
Manufacturing |
12 (40.0%) |
18 (60.0%) |
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
|
|
Manufacturing |
9 (30.0%) |
21 (70.0%) |
Table E.21. Q17 - Are any of the following criteria important for your enterprise when developing or using AI applications?
Copy link to Table E.21. Q17 - Are any of the following criteria important for your enterprise when developing or using AI applications?
Country |
Enterprise size |
Sector |
The protection of customer data and privacy |
Making our customers aware of how our AI system(s) are developed, trained and used |
Keeping a full record of our AI applications' predictions, recommendations or decisions |
|||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Agree |
Disagree |
Strongly agree |
Strongly disagree |
Agree |
Disagree |
Strongly agree |
Strongly disagree |
Agree |
Disagree |
Strongly agree |
Strongly disagree |
|
CAN |
50-249 |
ICT |
10 (33.3%) |
0 (0.0%) |
20 (66.7%) |
0 (0.0%) |
13 (43.3%) |
5 (16.7%) |
11 (36.7%) |
1 (3.3%) |
15 (50.0%) |
2 (6.7%) |
13 (43.3%) |
0 (0.0%) |
|
|
MFT |
15 (50.0%) |
0 (0.0%) |
15 (50.0%) |
0 (0.0%) |
18 (60.0%) |
3 (10.0%) |
9 (30.0%) |
0 (0.0%) |
14 (46.7%) |
3 (10.0%) |
13 (43.3%) |
0 (0.0%) |
|
250+ |
ICT |
8 (26.7%) |
0 (0.0%) |
22 (73.3%) |
0 (0.0%) |
15 (50.0%) |
3 (10.0%) |
12 (40.0%) |
0 (0.0%) |
16 (53.3%) |
2 (6.7%) |
12 (40.0%) |
0 (0.0%) |
|
|
MFT |
9 (30.0%) |
2 (6.7%) |
19 (63.3%) |
0 (0.0%) |
10 (33.3%) |
7 (23.3%) |
9 (30.0%) |
4 (13.3%) |
11 (36.7%) |
8 (26.7%) |
11 (36.7%) |
0 (0.0%) |
DEU |
50-249 |
ICT |
15 (50.0%) |
0 (0.0%) |
15 (50.0%) |
0 (0.0%) |
16 (53.3%) |
1 (3.3%) |
13 (43.3%) |
0 (0.0%) |
16 (53.3%) |
2 (6.7%) |
12 (40.0%) |
0 (0.0%) |
|
|
MFT |
9 (30.0%) |
2 (6.7%) |
19 (63.3%) |
0 (0.0%) |
10 (33.3%) |
4 (13.3%) |
16 (53.3%) |
0 (0.0%) |
18 (60.0%) |
3 (10.0%) |
9 (30.0%) |
0 (0.0%) |
|
250+ |
ICT |
11 (36.7%) |
1 (3.3%) |
18 (60.0%) |
0 (0.0%) |
13 (43.3%) |
6 (20.0%) |
11 (36.7%) |
0 (0.0%) |
16 (53.3%) |
4 (13.3%) |
10 (33.3%) |
0 (0.0%) |
|
|
MFT |
14 (46.7%) |
1 (3.3%) |
15 (50.0%) |
0 (0.0%) |
15 (50.0%) |
8 (26.7%) |
6 (20.0%) |
1 (3.3%) |
17 (56.7%) |
5 (16.7%) |
8 (26.7%) |
0 (0.0%) |
FRA |
50-249 |
ICT |
7 (23.3%) |
3 (10.0%) |
20 (66.7%) |
0 (0.0%) |
11 (36.7%) |
4 (13.3%) |
13 (43.3%) |
2 (6.7%) |
14 (46.7%) |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
|
|
MFT |
8 (26.7%) |
0 (0.0%) |
22 (73.3%) |
0 (0.0%) |
17 (56.7%) |
1 (3.3%) |
12 (40.0%) |
0 (0.0%) |
10 (33.3%) |
2 (6.7%) |
18 (60.0%) |
0 (0.0%) |
|
250+ |
ICT |
5 (16.7%) |
0 (0.0%) |
25 (83.3%) |
0 (0.0%) |
14 (46.7%) |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
16 (53.3%) |
2 (6.7%) |
12 (40.0%) |
0 (0.0%) |
|
|
MFT |
10 (33.3%) |
1 (3.3%) |
19 (63.3%) |
0 (0.0%) |
10 (33.3%) |
7 (23.3%) |
12 (40.0%) |
1 (3.3%) |
14 (46.7%) |
2 (6.7%) |
13 (43.3%) |
1 (3.3%) |
GBR |
50-249 |
ICT |
13 (43.3%) |
1 (3.3%) |
16 (53.3%) |
0 (0.0%) |
14 (46.7%) |
7 (23.3%) |
9 (30.0%) |
0 (0.0%) |
15 (50.0%) |
5 (16.7%) |
10 (33.3%) |
0 (0.0%) |
|
|
MFT |
7 (23.3%) |
0 (0.0%) |
23 (76.7%) |
0 (0.0%) |
18 (60.0%) |
0 (0.0%) |
11 (36.7%) |
1 (3.3%) |
11 (36.7%) |
2 (6.7%) |
17 (56.7%) |
0 (0.0%) |
|
250+ |
ICT |
5 (16.7%) |
1 (3.3%) |
24 (80.0%) |
0 (0.0%) |
14 (46.7%) |
6 (20.0%) |
10 (33.3%) |
0 (0.0%) |
14 (46.7%) |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
|
|
MFT |
14 (46.7%) |
0 (0.0%) |
16 (53.3%) |
0 (0.0%) |
10 (33.3%) |
8 (26.7%) |
12 (40.0%) |
0 (0.0%) |
17 (56.7%) |
1 (3.3%) |
12 (40.0%) |
0 (0.0%) |
ITA |
50-249 |
ICT |
18 (60.0%) |
2 (6.7%) |
10 (33.3%) |
0 (0.0%) |
10 (33.3%) |
6 (20.0%) |
14 (46.7%) |
0 (0.0%) |
15 (50.0%) |
6 (20.0%) |
9 (30.0%) |
0 (0.0%) |
|
|
MFT |
13 (43.3%) |
1 (3.3%) |
16 (53.3%) |
0 (0.0%) |
14 (46.7%) |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
13 (43.3%) |
5 (16.7%) |
12 (40.0%) |
0 (0.0%) |
|
250+ |
ICT |
7 (23.3%) |
1 (3.3%) |
22 (73.3%) |
0 (0.0%) |
17 (56.7%) |
5 (16.7%) |
8 (26.7%) |
0 (0.0%) |
14 (46.7%) |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
|
|
MFT |
11 (36.7%) |
0 (0.0%) |
19 (63.3%) |
0 (0.0%) |
10 (33.3%) |
8 (26.7%) |
12 (40.0%) |
0 (0.0%) |
14 (46.7%) |
4 (13.3%) |
12 (40.0%) |
0 (0.0%) |
JPN |
50-249 |
ICT |
7 (23.3%) |
3 (10.0%) |
20 (66.7%) |
0 (0.0%) |
9 (30.0%) |
6 (20.0%) |
15 (50.0%) |
0 (0.0%) |
24 (80.0%) |
0 (0.0%) |
6 (20.0%) |
0 (0.0%) |
|
|
MFT |
5 (16.7%) |
1 (3.3%) |
24 (80.0%) |
0 (0.0%) |
17 (56.7%) |
2 (6.7%) |
11 (36.7%) |
0 (0.0%) |
15 (50.0%) |
2 (6.7%) |
13 (43.3%) |
0 (0.0%) |
|
250+ |
ICT |
11 (36.7%) |
1 (3.3%) |
18 (60.0%) |
0 (0.0%) |
15 (50.0%) |
7 (23.3%) |
7 (23.3%) |
1 (3.3%) |
17 (56.7%) |
3 (10.0%) |
10 (33.3%) |
0 (0.0%) |
MFT |
12 (40.0%) |
0 (0.0%) |
18 (60.0%) |
0 (0.0%) |
21 (70.0%) |
3 (10.0%) |
6 (20.0%) |
0 (0.0%) |
17 (56.7%) |
2 (6.7%) |
11 (36.7%) |
0 (0.0%) |
||
USA |
50-249 |
ICT |
6 (20.0%) |
0 (0.0%) |
24 (80.0%) |
0 (0.0%) |
12 (40.0%) |
6 (20.0%) |
10 (33.3%) |
2 (6.7%) |
14 (46.7%) |
3 (10.0%) |
10 (33.3%) |
3 (10.0%) |
|
|
MFT |
12 (40.0%) |
0 (0.0%) |
18 (60.0%) |
0 (0.0%) |
11 (36.7%) |
11 (36.7%) |
7 (23.3%) |
1 (3.3%) |
17 (56.7%) |
5 (16.7%) |
8 (26.7%) |
0 (0.0%) |
|
250+ |
ICT |
7 (23.3%) |
0 (0.0%) |
23 (76.7%) |
0 (0.0%) |
17 (56.7%) |
5 (16.7%) |
8 (26.7%) |
0 (0.0%) |
14 (46.7%) |
2 (6.7%) |
14 (46.7%) |
0 (0.0%) |
|
|
MFT |
6 (20.0%) |
0 (0.0%) |
24 (80.0%) |
0 (0.0%) |
14 (46.7%) |
6 (20.0%) |
8 (26.7%) |
2 (6.7%) |
19 (63.3%) |
1 (3.3%) |
10 (33.3%) |
0 (0.0%) |
Note: MFT = Manufacturing.
Table E.22. Q18 - Are you aware that some regulators are considering the following requirements to increase oversight of artificial intelligence applications?
Copy link to Table E.22. Q18 - Are you aware that some regulators are considering the following requirements to increase oversight of artificial intelligence applications?
Country |
Enterprise size |
Sector |
Certification of the safety of AI systems |
Notification for customers when decision making is automated |
||
---|---|---|---|---|---|---|
|
|
No |
Yes |
No |
Yes |
|
CAN |
50-249 |
ICT |
5 (16.7%) |
25 (83.3%) |
11 (36.7%) |
19 (63.3%) |
|
|
Manufacturing |
3 (10.0%) |
27 (90.0%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
18 (60.0%) |
12 (40.0%) |
DEU |
50-249 |
ICT |
5 (16.7%) |
25 (83.3%) |
11 (36.7%) |
19 (63.3%) |
|
|
Manufacturing |
5 (16.7%) |
25 (83.3%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
6 (20.0%) |
24 (80.0%) |
9 (30.0%) |
21 (70.0%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
13 (43.3%) |
17 (56.7%) |
FRA |
50-249 |
ICT |
1 (3.3%) |
29 (96.7%) |
11 (36.7%) |
19 (63.3%) |
|
|
Manufacturing |
1 (3.3%) |
29 (96.7%) |
4 (13.3%) |
26 (86.7%) |
|
250+ |
ICT |
4 (13.3%) |
26 (86.7%) |
6 (20.0%) |
24 (80.0%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
GBR |
50-249 |
ICT |
6 (20.0%) |
24 (80.0%) |
11 (36.7%) |
19 (63.3%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
8 (26.7%) |
22 (73.3%) |
|
250+ |
ICT |
10 (33.3%) |
20 (66.7%) |
9 (30.0%) |
21 (70.0%) |
|
|
Manufacturing |
9 (30.0%) |
21 (70.0%) |
15 (50.0%) |
15 (50.0%) |
ITA |
50-249 |
ICT |
5 (16.7%) |
25 (83.3%) |
10 (33.3%) |
20 (66.7%) |
|
|
Manufacturing |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
7 (23.3%) |
23 (76.7%) |
7 (23.3%) |
23 (76.7%) |
|
|
Manufacturing |
10 (33.3%) |
20 (66.7%) |
11 (36.7%) |
19 (63.3%) |
JPN |
50-249 |
ICT |
2 (6.7%) |
28 (93.3%) |
9 (30.0%) |
21 (70.0%) |
|
|
Manufacturing |
3 (10.0%) |
27 (90.0%) |
10 (33.3%) |
20 (66.7%) |
|
250+ |
ICT |
3 (10.0%) |
27 (90.0%) |
14 (46.7%) |
16 (53.3%) |
|
|
Manufacturing |
4 (13.3%) |
26 (86.7%) |
12 (40.0%) |
18 (60.0%) |
USA |
50-249 |
ICT |
11 (36.7%) |
19 (63.3%) |
12 (40.0%) |
18 (60.0%) |
|
|
Manufacturing |
5 (16.7%) |
25 (83.3%) |
17 (56.7%) |
13 (43.3%) |
|
250+ |
ICT |
8 (26.7%) |
22 (73.3%) |
10 (33.3%) |
20 (66.7%) |
|
|
Manufacturing |
17 (56.7%) |
13 (43.3%) |
17 (56.7%) |
13 (43.3%) |
Table E.23. Q19 - Approximately what percentage of your enterprise’s total spending (internal and external) on R&D in 2021 was related to artificial intelligence?
Copy link to Table E.23. Q19 - Approximately what percentage of your enterprise’s total spending (internal and external) on R&D in 2021 was related to artificial intelligence?If not available, please answer based on 2020 spending
Country |
Enterprise size |
Sector |
0% |
Between 1% and 10% |
Between 11% and 30% |
Cannot discuss |
More than 30% |
The enterprise does not spend on R&D |
---|---|---|---|---|---|---|---|---|
CAN |
50-249 |
ICT |
0 (0.0%) |
14 (46.7%) |
12 (40.0%) |
0 (0.0%) |
4 (13.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
15 (50.0%) |
12 (40.0%) |
0 (0.0%) |
3 (10.0%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
16 (53.3%) |
11 (36.7%) |
1 (3.3%) |
1 (3.3%) |
1 (3.3%) |
|
|
Manufacturing |
0 (0.0%) |
21 (70.0%) |
8 (26.7%) |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
DEU |
50-249 |
ICT |
0 (0.0%) |
8 (26.7%) |
15 (50.0%) |
0 (0.0%) |
7 (23.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
19 (63.3%) |
9 (30.0%) |
0 (0.0%) |
2 (6.7%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
11 (36.7%) |
15 (50.0%) |
0 (0.0%) |
4 (13.3%) |
0 (0.0%) |
|
|
Manufacturing |
2 (6.7%) |
22 (73.3%) |
3 (10.0%) |
2 (6.7%) |
1 (3.3%) |
0 (0.0%) |
FRA |
50-249 |
ICT |
0 (0.0%) |
7 (23.3%) |
16 (53.3%) |
0 (0.0%) |
7 (23.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
9 (30.0%) |
15 (50.0%) |
0 (0.0%) |
6 (20.0%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
13 (43.3%) |
14 (46.7%) |
2 (6.7%) |
1 (3.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
16 (53.3%) |
11 (36.7%) |
3 (10.0%) |
0 (0.0%) |
0 (0.0%) |
GBR |
50-249 |
ICT |
0 (0.0%) |
18 (60.0%) |
10 (33.3%) |
0 (0.0%) |
2 (6.7%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
16 (53.3%) |
6 (20.0%) |
1 (3.3%) |
7 (23.3%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
12 (40.0%) |
12 (40.0%) |
1 (3.3%) |
2 (6.7%) |
3 (10.0%) |
|
|
Manufacturing |
1 (3.3%) |
20 (66.7%) |
6 (20.0%) |
2 (6.7%) |
1 (3.3%) |
0 (0.0%) |
ITA |
50-249 |
ICT |
0 (0.0%) |
15 (50.0%) |
14 (46.7%) |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
19 (63.3%) |
10 (33.3%) |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
15 (50.0%) |
13 (43.3%) |
0 (0.0%) |
2 (6.7%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
23 (76.7%) |
6 (20.0%) |
1 (3.3%) |
0 (0.0%) |
0 (0.0%) |
JPN |
50-249 |
ICT |
0 (0.0%) |
9 (30.0%) |
16 (53.3%) |
0 (0.0%) |
5 (16.7%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
11 (36.7%) |
18 (60.0%) |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
17 (56.7%) |
12 (40.0%) |
0 (0.0%) |
1 (3.3%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
15 (50.0%) |
13 (43.3%) |
1 (3.3%) |
0 (0.0%) |
1 (3.3%) |
USA |
50-249 |
ICT |
1 (3.3%) |
16 (53.3%) |
8 (26.7%) |
0 (0.0%) |
5 (16.7%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
14 (46.7%) |
13 (43.3%) |
1 (3.3%) |
2 (6.7%) |
0 (0.0%) |
|
250+ |
ICT |
0 (0.0%) |
19 (63.3%) |
5 (16.7%) |
4 (13.3%) |
2 (6.7%) |
0 (0.0%) |
|
|
Manufacturing |
0 (0.0%) |
19 (63.3%) |
6 (20.0%) |
2 (6.7%) |
2 (6.7%) |
1 (3.3%) |