JRC Data Catalogue
DATASETCompleted

2020 PREDICT Dataset (deprecated)

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The 2021 PREDICT Dataset updates and substitutes the 2020 PREDICT Dataset.

PREDICT includes statistics on ICT industries and their R&D in Europe since 2006. The project covers major world competitors including 40 advanced and emerging countries - the EU28 plus Norway, Russia and Switzerland in Europe, Canada, the United States and Brazil in the Americas, China, India, Japan, South Korea and Taiwan in Asia, and Australia -. The dataset provides indicators in a wide variety of topics, including value added, employment, labour productivity and business R&D expenditure (BERD), distinguishing fine grain economic activities in ICT industries (up to 22 individual activities, 14 of which at the class level, i.e. at 4 digits in the ISIC/NACE classification), media and content industries (15 activities, 11 of them at 4 digit level) and at a higher level of aggregation for all the other industries in the economy. It also produces data on Government financing of R&D in ICTs, and total R&D expenditure. Nowcasting of more relevant data in these domains is also performed until a year before the reference date, while time series go back to 1995.

ICTs determine competitive power in the knowledge economy. The ICT sector alone originates almost one fourth of total Business expenditure in R&D (BERD) for the aggregate of the 40 economies under scrutiny in the project. It also has a huge enabling role for innovation in other technological domains. This is reflected at the EU policy level, where the Digital Agenda for Europe in 2010 was identified as one of the seven pillars of the Europe 2020 Strategy for growth in the Union; and the achievement of a Digital Single Market (DSM) is one of the 10 political priorities set by the Commission since 2015.

How to cite

Cardona, Melisande; López-Cobo, Montserrat; De Prato, Giuditta; Samoili, Sofia; Righi, Riccardo; Vázquez-Prada Baillet, Miguel; Mas, Matilde; Fernández de Guevara, Juan; Benages, Eva; Hernández, Laura; Mínguez, Consuelo; Pérez, Juan; Robledo, Juan Carlos; Salamanca, Jimena; Solaz, Marta (2026): 2020 PREDICT Dataset (deprecated). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.S8QBADG PID: http://data.europa.eu/89h/ec1eb9c7-00c8-4d2b-85cb-0bba5c97b646

Keywords

digital economyICTICT industry analysisICT R&D and innovationinformation societyinnovationR&Dstatistics

Data access

CSV

CSV – comma-separated values – files store tabular data (numbers and text) in plain text. Each line of the file is a data record. Each record consists of one or more fields, separated by commas.

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.

  • The compressed zip file contains a CSV file including the complete 2020 PREDICT Dataset

Excel XLSX

XLSX is the default file format for Excel 2007 and later workbook used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language. XLSX is in reality a ZIP compressed archive with a directory structure of XML text documents.

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.

  • The compressed zip file contains two Excel files, with the complete 2020 PREDICT Dataset split into: (1) macroeconomic variables, (2) R&D-related variables

Publications

Publication
Mas, M., Fernández De Guevara Radoselovics, J., Robledo, J.C., Cardona, M., Righi, R., Samoili, S. and Vazquez-Prada Baillet, M., THE 2020 PREDICT REPORT Key Facts Report, De Prato, G. and Lopez Cobo, M. editor(s), EUR 30305 EN, Publications Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-20790-0 (online), doi:10.2760/291872 (online), JRC121153.
Publications Office of the European Union, Luxembourg, Luxembourg
  • The 2020 PREDICT Key Facts Report provides a detailed analysis of the state of ICT R&D activities in the EU28 and 12 further economies worldwide. This is the 13th edition of a series that is published annually. Like the previous editions, an online version is available at: https://ec.europa.eu/jrc/en/predict. The report covers the period between 1995 and 2017, providing a long-term analysis of the European Union (EU) ICT sector and its R&D, covering a whole cycle from the initial expansion years, to the double recession that began in early 2008, and the most recent evolution up to 2017. Whenever possible, the report includes nowcasted data for 2018 and 2019. The statistical information provided by the figures allows the comparison between: the ICT sector and the total economy; the ICT manufacturing sector and the ICT services sector; the four ICT manufacturing sectors, two ICT services sectors, and MC and RS sectors; EU countries; the EU and the international context (including the most relevant countries in the world economy). The report focuses especially on the ICT R&D macroeconomic dynamics.

Temporal coverage

From date To date
1995-01-01 2019-01-01

Additional information

Published by
European Commission, Joint Research Centre
Contact email
montserrat.lopez-cobo (at) ec.europa.eu
Update frequency
irregular

The event occurs at uneven intervals.

Language(s)
English

English is a member of the West Germanic group of the Germanic languages. It is an official language of almost 60 sovereign states and is now a global lingua franca.It is the third-most-common native language in the world and it is widely learned as a second language.

Data theme(s)
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
2020-07-01
Created date
30 Jun 2020 08:59
Modified date
01 Sep 2022 08:54
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Dataset identifier
Other identifiers
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