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In 2025, 20.0% of EU enterprises with 10 or more employees used artificial intelligence (AI) technologies to conduct their business, showing a solid growth of 6.5 percentage points (pp) from 13.5% in 2024. Compared with 2021 (7.7%) and 2023 (8.1%), the use of AI technologies is becoming more popular among EU businesses.

The highest shares of these enterprises in 2025 were in Denmark (42.0%), Finland (37.8%) and Sweden (35.0%). At the other end were Romania (5.2%), Poland (8.4%) and Bulgaria (8.5%).

Almost all EU countries recorded increases in the share of enterprises using AI technologies compared with the previous year. Denmark registered the highest increase (+14.5 pp), followed by Finland (+13.5 pp) and Lithuania (+12.5 pp). 

Enterprises using AI technologies, 2024 and 2025 (% of enterprises). Bar chart. Link to full dataset below.

Source dataset: isoc_eb_ai

The most common use of AI technology by EU enterprises was to analyse written language (11.8%). This was followed by AI use to generate pictures, videos, sound/audio (9.5%), written or spoken language (8.8%) and to convert spoken language into machine-readable format (7.2%). 

Compared with 2024, the use of AI technology that grew the most in 2025 was analysing written language (+4.9 pp), followed by the generation of written or spoken language (+3.4%). 

Type of AI technology used by enterprises in the EU, 2024 and 2025 (% of enterprises). Horizontal bar chart. Link to full dataset below.

Source dataset: isoc_eb_ai

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Methodological notes

  • Data comes from the 2025 EU survey on ICT usage and e-commerce in enterprises and refers to all enterprises with at least 10 employees or self-employed persons (classified in statistical classification of economic activities in the European Community (NACE) Rev. 2 sections C to J, L to N and group 95.1).
  • Enterprises using artificial intelligence refer to the following AI technologies: 
    • technologies performing analysis of written language (text mining)
    • technologies converting spoken language into machine-readable format (speech recognition)
    • technologies generating written or spoken language or programming codes (natural language generation, speech synthesis)
    • technologies generating pictures, videos, sound/audio
    • technologies identifying objects or persons based on images (image recognition, image processing)
    • machine learning (e.g. deep learning) for data analysis
    • technologies automating different workflows or assisting in decision making (Al-based software robotic process automation)
    • technologies enabling physical movement of machines via autonomous decisions based on observation of surroundings (autonomous robots, self-driving vehicles, autonomous drones)
  • Machine learning (e.g. deep learning) involves ‘training’ a computer model to better perform an automated task, e.g. pattern recognition.
  • Natural language processing, natural language generation or speech recognition are the ability for a computer program to understand human language as it is spoken, to convert data into natural language representation or to identify words and phrases in spoken language and convert them to a machine-readable format.
  • AI technologies used to generate pictures, videos, sound/audio is a new category, not present in the 2024 questionnaire, therefore there is no data for that year. 


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