TES analysis of AI Worldwide Ecosystem in 2009-2018
Riccardo Righi (),
Melisande Cardona (),
Miguel Vazquez-Prada Baillet () and
Giuditta De-Prato ()
Additional contact information
Miguel Vazquez-Prada Baillet: European Commission - JRC, https://ec.europa.eu/jrc/en
Giuditta De-Prato: European Commission - JRC, https://ec.europa.eu/jrc/en
No JRC120106, JRC Working Papers from Joint Research Centre (Seville site)
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.
Keywords: artificial intelligence; techno-economic analysis; digital transformation; AI landscape; AI thematic area; network of collaborations; AI industry (search for similar items in EconPapers)
Pages: 68 pages
New Economics Papers: this item is included in nep-big, nep-eur, nep-sbm and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc120106
Access Statistics for this paper
More papers in JRC Working Papers from Joint Research Centre (Seville site) Contact information at EDIRC.
Bibliographic data for series maintained by Publication Officer ().