How many companies in the Netherlands are using AI?
In 2024, 23 percent of companies with ten or more workers used one or more forms of AI technology. This was 14 percent in 2023.
The AI technologiesnoot1 used most often in 2024 were written text analysis (text mining: 14 percent) and written or spoken text generation (natural language generation: 12 percent). Compared to 2023, workers were 2.5 times more likely to use text mining, and three times more likely to use automatically generated text. The use of speech recognition rose from 4 percent in 2023 to 6 percent in 2024.
Mainly used by large companies
Large companies were more likely to use AI technology in 2024 than smaller ones. The use of AI technology was highest among companies with 500 or more workers (59 percent) and lowest among companies with 10 to 19 workers (nearly 18 percent).
Information and communication sector is frontrunner
The information and communication sector saw the most frequent use of AI technology in 2024, at 58 percent. In 2023, this was 37 percent. Workers in specialised business services and financial services were more likely than average to use AI technology in 2024 (40 percent and 37 percent, respectively). Again, the use of AI technology was lower in these sectors in 2023 (by 25 percent and 27 percent, respectively).
Netherlands in sixth place in the EU
Eurostat looked at the use of AI technologies among companies in EU countries. Across the European Union as a whole, 13 percent of companies were using AI technology in 2024. In five EU countries (Denmark, Sweden, Belgium, Finland, and Luxembourg), a higher proportion of companies were using AI technology than in the Netherlands. Denmark had the highest share at 28 percent.
CBS is expanding its research into AI because of the rapid development and expected societal impact of these technologies.
Source
Report – AI Monitor 2024
Noten
AI technologies
AI technologies – the seven technologies that Eurostat asked about were:
- Machine learning – Technology for data analysis (for example deep learning).
- Service robots or autonomous vehicles – Enabling physical movement of machines via autonomous decisions based on observations of the surroundings.
- Robotic process automation – Automating workflows or assisting in decision-making.
- Speech recognition – Converting spoken language into machine-readable formats.
- Image recognition – Identifying objects or persons based on images.
- Text mining – Analysing written text.
- Natural language generation – Generating written or spoken text.