Enterprises in professional, scientific and technical activities
Number of enterprises active at any time during the year in professional, scientific and technical activities (NACE Rev.
More on how it is measured
- 2 section M), from Eurostat structural business statistics.
- An enterprise is the smallest combination of legal units that produces goods or services with some autonomy in its decisions; one enterprise can have several local units.
Eurostat structural business statistics. From 2021 the series come from sbs_ovw_act under Regulation (EU) 2019/2152 on European business statistics; 2005 to 2020 come from the earlier table sbs_na_sca_r2. Values for 2021 are flagged as a break: value added moved from factor cost to basic prices and some activities changed coverage, so the change from 2020 to 2021 is not all real. Amounts are published in euros for every country, including those outside the euro area. Not the same as active_companies (INE business register, Spain) or employer_firms (US Census Bureau).
Key facts
- Enterprises in professional, scientific and technical activities in the European Union (27) was 5.39 million in 2024, according to Eurostat, European Commission.
- Italy had the highest enterprises in professional, scientific and technical activities of 27 EU countries in 2024, at 923,356, and Malta the lowest, at 9,637. Source: Eurostat, European Commission.
- Published for 28 places, with figures from 2005 to 2024.
Rankings
EU countries by enterprises in professional, scientific and technical activities, 2024
Places with data
World, EU and euro area
Countries
- Germany
- France
- Italy
- Spain
- Poland
- Romania
- Netherlands
- Belgium
- Czechia
- Portugal
- Sweden
- Slovenia
- Slovakia
- Finland
- Croatia
- Denmark
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Which places have the highest enterprises in professional, scientific and technical activities? Use official data and cite it.
rank_places {"indicator":"sbs_enterprises_professional_scientific","level":"country","within":"European Union (27)"}
GET https://invokely.ai/api/v1/rank?indicator=sbs_enterprises_professional_scientific&level=country&within=European%20Union%20(27)