JRC Data Catalogue
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AI Watch Index 2021

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The AI Watch Index contains 22 indicators related to the development of AI from several perspectives, organised around 5 dimensions: (i) global view on the AI landscape, (ii) industry, (iii) research and& development (R&D), (iv) technology, and (v) societal aspects.

Although the geographical focus is on the EU, when possible the index provides a comparison with major worldwide AI powerhouses, i.e., the US and China, among others. Also, when available, an indicator is provided for the 27 EU Member States.

Contributors

How to cite

Righi, Riccardo; Cardona, Melisande; Samoili, Sofia; Papazoglou, Michail; Vazquez-Prada Baillet, Miguel; De Prato, Giuditta; López-Cobo, Montserrat; Dalla Benetta, Alessandro; De Nigris, Sarah; Desruelle, Paul; Duch Brown, Nestor; Gomez Gutierrez, Emilia; Hupont-Torres, Isabelle; Martinez Plumed, Fernando; Martínez Rodríguez, Eva; Nativi, Stefano; Nepelski, Daniel; Pineda, Camila; Rossetti, Fiammetta; Sobolewski, Maciej; Soler Garrido, Josep; Tolan, Songül (2026): AI Watch Index 2021. European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.DQPM3VR PID: http://data.europa.eu/89h/e3757f41-fe54-4330-946d-ae897686164f

Data access

ZIP

ZIP is an archive file format that supports lossless data compression. A ZIP file may contain one or more files or directories that may have been compressed.

Downloadable file

A downloadable file for the dataset.

Use conditions
Creative Commons Attribution 4.0 International

CC BY 4.0 lets others distribute, remix, tweak, and build upon the author’s work, even commercially, as long as they credit the author for the original creation. This is the most accommodating of licences offered. Recommended for maximum dissemination and use of licenced materials.

Access conditions
No limitations

Anybody can directly and anonymously access the data, without being required to register or authenticate.

Publications

Publication
Righi, R., Pineda Leon, C., Cardona, M., Soler Garrido, J., Papazoglou, M., Samoili, S. and Vazquez-Prada Baillet, M., AI Watch Index 2021, Lopez Cobo, M. and De Prato, G. editor(s), EUR 31039 EN, Publications Office of the European Union, Luxembourg, 2022, ISBN 978-92-76-53602-4 (online), doi:10.2760/921564 (online), JRC128744.
Publications Office of the European Union, Luxembourg, Luxembourg
  • This report provides the analysis of multiple indicators related to the development of artificial intelligence from several perspectives. Although the geographical focus is on the EU27, when possible we provide a comparison with major worldwide AI powerhouses, i.e., the US and China, among others. Also, when available, an indicator is provided for the 27 EU Member States.

    The analysis is structured in five dimensions: (i) global view on the AI landscape, (ii) industry, (iii) research and development (R&D), (iv) technology, and (v) societal aspects. The results show, as expected, that AI is in a phase of technological evolution and improvement. The US is in a leading position in the worldwide landscape in economic terms. China follows, notably due to a very prominent patenting activity in the field. The EU is third, but several elements support the thesis that the distance with the two leading countries is less than often suggested. The analysis reveals that the EU performs remarkably well in R&D - beyond the consideration of EC-funded projects -. Also, the EU demonstrates specialisation in AI Services and in Autonomous Robotics. Also, the EU shows very positive dynamics in trade in industrial robotics and in new robotics start-ups. Regarding investments in AI, we observe a positive signal for the potential development of the domain in the Union, as the level of private and public investments has increased in all of the 27 EU Member States in the last year.

Additional information

Published by
European Commission, Joint Research Centre
Contact email
EC-AI-WATCH (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Data theme(s)
Economy and finance

dataset theme covering the domains of economic activity which involves production, distribution, trade, and consumption of goods and services, and finance activity focusing on the management of money at the individual, company, or government level

Education, culture and sport

dataset theme covering the domains of education, which facilitates learning and the acquisition of knowledge, skills, values, beliefs, and habits; culture, which includes the social behaviour, norms, knowledge, beliefs, arts, laws, customs, capabilities, and habits found in human societies; and sport, encompassing competitive physical activities or games that improve physical ability, skills, and provide enjoyment to participants as well as entertainment to spectators

Science and technology

dataset theme covering the domains of science and technology, with science being the systematic pursuit of knowledge through testable explanations and predictions across natural, social, and formal disciplines, and technology encompassing the collective techniques, skills, methods, and processes used in producing goods, providing services, or achieving objectives like scientific research

Geographical name(s)
Issued date
2022-03-30
Created date
22 Mar 2022 16:15
Modified date
16 Jun 2022 09:01
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Dataset identifier
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