JRC Data Catalogue
DATASETCompleted

2018 PREDICT Dataset (deprecated)

QR code

**NOTE:** *The 2018 PREDICT Dataset has been deprecated, and it is now superseded by its latest edition - 2019 PREDICT Dataset:*

http://data.europa.eu/89h/6c6f7ce7-893b-48e9-b074-2baaa4b6c7d8

---

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.

Contributors

How to cite

López-Cobo, Montserrat; Cardona, Melisande; De Prato, Giuditta; Samoili, Sofia; Righi, Riccardo; Mas, Matilde; Fernández de Guevara, Juan; Benages, Eva; Hernández, Laura; Mínguez, Consuelo; Pérez, Juan; Robledo, Juan Carlos; Salamanca, Jimena; Solaz, Marta (2026): 2018 PREDICT Dataset (deprecated). European Commission, Joint Research Centre [Dataset] doi: 10.2905/JRC.JECTRX8 PID: http://data.europa.eu/89h/jrc-predict-2018-core

Keywords

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

Data access

Excel XLS

XLS is a proprietary binary file format used for Microsoft Excel spreadsheet which features calculation, graphing tools, pivot tables and a macro programming language.

Downloadable file

A downloadable file for the dataset.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

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 splitting the complete 2018 PREDICT Dataset into: macroeconomic variables and R&D related variables.

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
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

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 2018 PREDICT Dataset

Other resources

HTML

HTML is the standard markup language used to create web pages and its elements form the building blocks of all websites.

Use conditions
European Commission reuse notice

According to the European Commission reuse notice, reuse is authorised, provided the source is acknowledged. The reuse policy of the European Commission is implemented by the Decision of 12 December 2011. The general principle of reuse can be subject to conditions which may be specified in individual copyright notices. Therefore users are advised to refer to the copyright notices of the individual websites maintained under Europa and of the individual documents. Reuse is not applicable to documents subject to intellectual property rights of third parties.

Access conditions
No limitations

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

  • PREDICT webpage (European Commission - JRC Science Hub)

Publications

Publication
De Prato, G., editor(s), Mas, M., Fernández De Guevara Radoselovics, J., Robledo, J., Cardona, M., Lopez Cobo, M., Righi, R. and Samoili, S., The 2018 PREDICT Key Facts Report. An Analysis of ICT RandD in the EU and Beyond, EUR 29252 EN, Publications Office of the European Union, Luxembourg, 2018, ISBN 978-92-79-86638-8, doi:10.2760/984658, JRC112019.
Publications Office of the European Union, Luxembourg, Luxembourg
  • The 2018 PREDICT Key Facts Report provides a detailed analysis of the state of ICT R&D activities in the European Union. This is the eleventh 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 2015, 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 2015. Whenever possible, the report includes nowcasted data for 2016 and 2017. The statistical information provided by the figures allows comparing the ICT sector with the total economy; the ICT manufacturing sector with the ICT services sector; each of the four ICT manufacturing, two ICT services, MC and RS sectors’ behaviour; the pace followed by each EU country; and the pattern of the EU in an international context, including the most relevant countries from the perspective of the role they play in the world economy today, especially from the ICT R&D perspective.

Temporal coverage

From date To date
1995-01-01 2017-12-31

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)
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

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
2018-05-16
Created date
14 Dec 2018 10:42
Modified date
31 Aug 2022 14:54
Landing page
Dataset identifier
Other identifiers
Rate this page
Please vote (optional).
An unhandled error has occurred. Reload 🗙