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New Communication and Information Technologies
Science and technology
Survey on ICT and Electronic Commerce use in Companies
Science and technology
Survey on the use of ICT and E-commerce in companies 2023-2024
National results
Companies with 10 or more employees
Companies with 10 or more employees
ICT in companies (first quarter of 2024) by branch of economic activity (except CNAE 56, 64-66 and 95.1) and size of the company
Artificial intelligence
Units:
Percentage
Select values to consult
Activity grouping (except CNAE 56, 64-66 and 95.1)
Values that contain
Total Enterprises
1. Total Industry (CNAE 10-39)
1.1. Food, beverages, tobacco, textile, clothing, leather and footwear, wood and cork, paper, graphic arts and reproduction of recorded media (CNAE 10-18)
1.2 Coke and petroleum refining pharmaceutical products rubber and plastics non-metallic mineral products (CNAE 19-23)
1.3 Metallurgy, manufacture of metallic products (CNAE 24-25)
1.4. Computer, electronic and optical products electric equipment, machinery and mechanical equipment motor vehicles transport material furniture manufacturing industry, repair of machinery and equipment (CNAE 26-33)
1.5. Energy and water (CNAE 35-39)
2. Total Construction (CNAE 41-43)
3. Total Services (CNAE 45-82, excluding CNAE 56: food and drink services, and financial services)
3.1. Sale and repair of motor vehicles, wholesale and retail (CNAE 45-47)
3.2. Transport and storage (CNAE 49-53)
3.3. Accommodation services (CNAE 55)
3.4. Information and communications (CNAE 58-63)
3.5. Real estate activities (CNAE 68)
3.6. Professional, scientific and technical activities (CNAE 69-75)
3.7. Administrative and support service activities (incl. travel agencies) (CNAE 77-82)
4. Sector ICT (261-264, 268, 465, 582, 61, 6201, 6202, 6203, 6209, 631, 951)
Selected:
17
Total:
17
Main variables
Values that contain
G.1 % of enterprises using Artificial Intelligence (AI) technologies (1)
G.1.A % of enterprises with AI technology for written language analysis (2)
G.1.B % of enterprises with AI technology that converts spoken language into machine-readable format (2)
G.1.C % of enterprises with AI technology that generates written or spoken language (2)
G.1.D % of enterprises with AI technology to identify objects or people based on images or videos (2)
G.1.E % of enterprises with machine learning AI technology for data analysis (2)
G.1.F % of enterprises with AI technology for workflow automation or decision-making support (2)
G.1.G % of enterprises with AI technology that enables the physical movement of machines through autonomous decisions based on observation of the environment (2)
G.2.A % of enterprises that use AI technologies for marketing or sales (2)
G.2.B % of enterprises that use AI technologies for production purposes or services (2)
G.2.C % of enterprises that use AI technologies to organise business administration or management processes (2)
G.2.D % of enterprises that use AI technologies for logistics (2)
G.2.E % of enterprises that use AI technologies for ICT security (2)
G.2.F % of enterprises that use AI technologies for accounting, control or financial management (2)
G.2.G % of enterprises that use AI technologies for R&D or innovation activities (2)
G.3.A % of enterprises that purchase AI software or systems that are developed by their own employees (2)
G.3.B % of enterprises that purchase commercial AI software or systems that are modified by their own employees (2)
G.3.C % of enterprises that purchase open-source AI software or systems that are modified by their own employees (2)
G.3.D % of enterprises that purchase off-the-shelf commercial AI software or systems (2)
G.G.3.E % of enterprises that acquire AI software or systems by contracting with external providers to develop or modify them (2)
G.4 % of enterprises that process data about individuals using AI (2)
G.5 % of enterprises that have some measure to check the results generated by AI technologies in search of possible biases towards people (2)
G.6 % of enterprises that have at some time considered using any of the AI technologies enumerated under point G.1 (1)
G.7.A % of enterprises that do not use any of G.1's AI technologies because the costs seem too high (3)
G.7.B % of enterprises that do not use any of G.1's AI technologies because relevant expertise is missing from the company (3)
G.7.C % of enterprises that do not use any of G.1's AI technologies because of incompatibility with existing equipment, software, or systems (3)
G.7.D % of enterprises that do not use any of G.1's AI technologies because of difficulties with the availability or quality of the data needed (3)
G.7.E % of enterprises that do not use any of G.1's AI technologies because of concerns regarding data protection and privacy breach (3)
G.7.F % of enterprises that do not use any of G.1's AI technologies because of lack of clarity on the legal consequences (3)
G.7.G % of enterprises that do not use any of G.1's AI technologies because of ethical considerations (3)
G.7.H % of enterprises that do not use any of G.1's AI technologies because AI technologies are not useful to the company (3)
Selected:
1
Total:
31
Size of the enterprise
Values that contain
Total
From 10 to 49
From 50 to 249
250 or more
Selected:
1
Total:
4
Choose format of the table
Size of the enterprise
Activity grouping (except CNAE 56, 64-66 and 95.1)
Main variables
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Decimals to show:
By default
0
1
2
Notes
1) The codes at the beginning of each literal refer to the corresponding question of the questionnaire or the section from which they are taken 2) Main variables: 3) (1) Percentage of total of enterprises with an Internet connection 4) (2) Percentage of the total number of enterprises that employ Artificial Intelligence technologies 5) (3) Percentage of total of enterprises that have at some time considered using any of the AI technologies enumerated under point G.1
Total:
0
series
y
0
cells
Source:National Statistics Institute