This study provides a comprehensive statistical analysis of the uptake and application
of artificial intelligence (AI) technologies in the European Union (EU) member states
up to 2023. The research draws on data from 150,400 companies to examine the relationship
between different AI technologies such as machine learning, process automation and
text mining. Using correlation, factor and principal component analysis, the study
explores the extent and effectiveness of the integration of technologies, providing
a new scientific perspective on the industrial application and strategy of AI-based
innovations. The analysis has revealed that countries with higher levels of digital
skills and advanced technological infrastructure, such as Denmark and Finland, exhibit
significantly higher AI adoption rates. Furthermore, the results highlight how closely
certain technologies, such as machine learning and robotic process automation, are
related. The results offer significant contributions to facilitate a more effective
application of AI technologies in the European industrial environment and provide
guidance for future development strategies.
