Digital entrepreneurship, 2025
More enterprises use paid cloud computing services, artificial intelligence technologies and perform data analytics
48% of enterprises with 10 or more employees and self-employed use paid cloud computing services, 22% use artificial intelligence (AI) technologies and 31% perform data analytics. Lack of relevant expertise in the enterprise hinders the usage of AI technologies and performance of data analytics.
More than half of enterprises use cloud computing services or artificial intelligences technologies or perform data analytics
One of the goals of the European Digital Decade and the Digital Slovenia strategies, which define objectives for the digital transformation of society and the economy, is that by 2030, 75% of enterprises with 10 or more employees and self-employed will be using cloud computing services (paid sophisticated or intermediate services) or artificial intelligence (AI) technologies or performing data analytics.
In 2025:
Almost half of enterprises use paid cloud computing services
48% of enterprises with 10 or more employees and self-employed use paid cloud computing services (40% in 2023) – 43% of small, 66% of medium-sized and 90% of large enterprises.
43% of enterprises use paid sophisticated or intermediate cloud computing services – 38% of small, 60% of medium-sized and 84% of large enterprises.

In over a quarter of enterprises their own employees perform data analytics
31% of enterprises perform data analytics – 25% of small, 52% of medium-sized and 86% of large enterprises. The enterprise can thereby make more informed decisions and can, among other things, optimise processes, reduce costs, etc., thus gaining a competitive advantage by understanding patterns and trends in the data.
In 27% of enterprises employees perform data analytics – 21% of small, 48% of medium-sized and 85% of large enterprises:

Enterprises that do not perform data analytics themselves or have it performed by an external enterprise or organisation stated the following reasons:
More than a fifth of enterprises answered that AI technologies are not useful for them
AI technologies are being used by 22% of enterprises with 10 or more employees and self-employed (21% in 2024) – 18% of small, 31% of medium-sized and 72% of large enterprises. As regards the activity, they are used by 17% of enterprises in manufacturing and by 26% in service activities.

Enterprises are using AI software or systems in the following ways:
14% of enterprises that do not use AI technologies already considered using them (12% in 2024) – 12% of small, 24% of medium-sized and 41% of large enterprises. In 2025, too, most of them (69%) stated as a reason lack of relevant expertise in the enterprise (65% in 2024). Among other reasons, 42% stated that they do not see the benefits in implementing AI and 22% that AI technologies are not useful for the enterprise (21% in 2024).
Tables with the latest data, including by cohesion regions, are available in the SiStat Database.
One of the goals of the European Digital Decade and the Digital Slovenia strategies, which define objectives for the digital transformation of society and the economy, is that by 2030, 75% of enterprises with 10 or more employees and self-employed will be using cloud computing services (paid sophisticated or intermediate services) or artificial intelligence (AI) technologies or performing data analytics.
In 2025:
- 43% of enterprises use paid sophisticated or intermediate cloud computing services,
- 31% of enterprises perform data analytics – in 27% of enterprises it is performed by own employees and in 7% by an external enterprise or organisation,
- 22% of enterprises use AI technologies.
Almost half of enterprises use paid cloud computing services
48% of enterprises with 10 or more employees and self-employed use paid cloud computing services (40% in 2023) – 43% of small, 66% of medium-sized and 90% of large enterprises.
43% of enterprises use paid sophisticated or intermediate cloud computing services – 38% of small, 60% of medium-sized and 84% of large enterprises.
In over a quarter of enterprises their own employees perform data analytics
31% of enterprises perform data analytics – 25% of small, 52% of medium-sized and 86% of large enterprises. The enterprise can thereby make more informed decisions and can, among other things, optimise processes, reduce costs, etc., thus gaining a competitive advantage by understanding patterns and trends in the data.
In 27% of enterprises employees perform data analytics – 21% of small, 48% of medium-sized and 85% of large enterprises:
- 27% of enterprises perform basic data analytics, which focuses on data analysis to identify patterns and trends that support decision-making.
- 5% of enterprises perform advanced data analytics, the purpose of which, in addition to describing data, is advanced forecasting, process optimisation, etc. – 4% of small, 10% of medium-sized and 32% of large enterprises.
Enterprises that do not perform data analytics themselves or have it performed by an external enterprise or organisation stated the following reasons:
- 59% of enterprises stated that performing data analytics is not relevant for the enterprise,
- 58% of enterprises lack relevant expertise in the enterprise,
- for 52% of enterprises the costs seem too high, e.g. implementation of new software solutions, training,
- in 45% of enterprises the reason is concern for security and privacy of data,
- 42% of enterprises have technological barriers, such as lack of appropriate technology for collecting, storing, or processing data,
- 36% of enterprises have issues with the availability or quality of data,
- 34% of enterprises are facing a lack of data culture, e.g. the use of data for decision-making is not encouraged,
- in 26% of enterprises there is no support from management for the implementation of data analytics solutions.
More than a fifth of enterprises answered that AI technologies are not useful for them
AI technologies are being used by 22% of enterprises with 10 or more employees and self-employed (21% in 2024) – 18% of small, 31% of medium-sized and 72% of large enterprises. As regards the activity, they are used by 17% of enterprises in manufacturing and by 26% in service activities.
Enterprises are using AI software or systems in the following ways:
- 40% for ICT security,
- 35% for organisation of business administration processes or management,
- 30% for marketing or sales,
- 21% for production or service processes,
- 19% for research and development (R&D) or innovation activity,
- 11% for accounting, controlling or finance management,
- 6% for logistics.
14% of enterprises that do not use AI technologies already considered using them (12% in 2024) – 12% of small, 24% of medium-sized and 41% of large enterprises. In 2025, too, most of them (69%) stated as a reason lack of relevant expertise in the enterprise (65% in 2024). Among other reasons, 42% stated that they do not see the benefits in implementing AI and 22% that AI technologies are not useful for the enterprise (21% in 2024).
Tables with the latest data, including by cohesion regions, are available in the SiStat Database.
METHODOLOGICAL NOTE
The published data are estimates derived from the survey on the sample that represents enterprises with 10 or more employees and self-employed persons. An enterprise may consist of several ownership-related legal entities, as long as they operate on the market as one independent enterprise.
During the transition period after SKD 2025 (NACE Rev. 2.1) entering into force, statistical data will still be collected and published according to SKD 2008 (NACE Rev. 2). The transition periods will vary depending on the individual surveys.
Additional explanations are available in the methodological explanations.
The survey is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Eurostat. Neither the European Union nor the granting authority can be held responsible for them.
During the transition period after SKD 2025 (NACE Rev. 2.1) entering into force, statistical data will still be collected and published according to SKD 2008 (NACE Rev. 2). The transition periods will vary depending on the individual surveys.
Additional explanations are available in the methodological explanations.
The survey is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or Eurostat. Neither the European Union nor the granting authority can be held responsible for them.
When making use of the data and information of the Statistical Office of the Republic of Slovenia, always add: "Source: SURS". More: Copyright.