@article{JRC120106,
	number = {KJ-NA-30109-EN-N (online)},
	address = {Luxembourg (Luxembourg)},
	issn = {1831-9424 (online)},
	year = {2020},
	author = {Samoili S and Righi R and Cardona M and Lopez  Cobo M and Vazquez-Prada Baillet M and De Prato G},
	isbn = {978-92-76-16661-0 (online)},
	publisher = {Publications Office of the European Union},
	abstract = {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.
		
		},
	title = {TES analysis of AI Worldwide Ecosystem in 2009-2018
		},
	url = {},
	doi = {10.2760/85212 (online)}