This dataset is the result of a study aimed at mapping the techno-economic segment (TES) of artificial intelligence (AI) from a multidimensional perspective, providing an overview of the worldwide AI landscape in the last decade. The unit of the analysis is the economic agent, or player, that can be a company, university, research institution or governmental authority. The player is expected to have an active role in the segment, with the capability to influence its economic development and future evolution. In this sense, the focus is set on the organisations, and not on individuals, namely the applicant organisation owning the invention in the case of patents, authors’ affiliation in conference proceedings, companies, governmental entities, etc. This dataset targets both industrial and R&D activities. Therefore, players' economic activities of interest for the analysis of the TES ecosystem include R&D processes (research and innovative developments), general economic processes (industrial production, trade, marketing and other services), firms funding (venture capital funds or other types of investment). The results are provided aggregated by country of location of the institutions concerned.
How to cite
European Commission, Joint Research Centre (JRC) (2020): AI TES Dataset 2019. European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/0cb8ba74-097c-4197-ac50-cfbb0a5099a5
- Publications Office of the European Union, Luxembourg, Luxembourg
This report analyses and compares countries and regions in the evolving international industrial and research landscape of Artificial Intelligence (AI). The evidence presented is based on a unique database covering the years 2009-2018. The database has been specifically built from a multitude of sources to provide scientific evidence and monitor the AI landscape worldwide. Companies, universities, research institutes and governmental authorities with an active role in AI are identified and analysed in an aggregated fashion. The report presents a wide variety of indicators, allowing us to expand our knowledge on issues such as: the size of the AI ecosystem globally and at country level; which are the main global competitors of the EU; what is the level of industrial involvement per country; what are the firms’ demographics, profiling of economic agents according to their strengths in innovation and take-up of AI, including their patenting performance; and the degree of internal and external collaborations between EU and non-EU firms and research institutions. The analysis of the AI activities developed by agents in the studied territories provides interesting insights on their areas of specialisation, highlighting the strengths of the EU and its Member States in the global landscape. Each section offers a focus on EU Member States.
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- European Commission, Joint Research Centre
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- Science and technology
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