DATASET

2017 PREDICT Dataset (deprecated)

Collection: PREDICT : Prospective insights on R&D in ICT 

Description

**NOTE:** *The 2017 PREDICT Dataset has been deprecated, and it is now superseded by its latest edition - 2019 PREDICT Dataset:*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

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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 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.

Contact

Email
montserrat.lopez-cobo (at) ec.europa.eu

Contributors

How to cite

López-Cobo, Montserrat; De Prato, Giuditta; Mas, Matilde; Fernández de Guevara, Juan; Benages, Eva; Hernández, Laura; Mínguez, Consuelo; Pérez, Juan; Robledo, Juan Carlos; Salamanca, Jimena; Solaz, Marta (2017): 2017 PREDICT Dataset (deprecated). European Commission, Joint Research Centre (JRC) [Dataset] PID: http://data.europa.eu/89h/jrc-predict-predict2017-core

Keywords

ICT ICT industry analysis digital economy innovation ICT R&D and innovation statistics information society R&D

Data access

2017 PREDICT Dataset, CSV file
Download 
  • The compressed zip file contains a CSV file including the complete 2017 PREDICT Dataset

2017 PREDICT Dataset, Excel file
Download 
  • The compressed zip file contains two Excel files splitting the complete 2017 PREDICT Dataset into: macroeconomic variables and R&D related variables.

Prospective insights on R&D in ICT (PREDICT)
URL 
  • PREDICT webpage (European Commission - JRC Science Hub)

Publications

Publication
The 2017 PREDICT Dataset Methodology
Benages E; Hernández L; Mínguez C; Pérez J; Robledo J; Salamanca J; Solaz M; Lopez Cobo M; Rossetti F. The 2017 PREDICT Dataset Methodology . EUR 28595 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2017. JRC106713
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    This methodological report details the work done in the Prospective Insights on R&D in ICT (PREDICT) project in 2017. PREDICT provides updated indicators for the Information and Communication Technologies (ICT) sector and for its Research and Development (R&D) in the European Union and in the major ICT leaders worldwide. This project is being carried out jointly by the Joint Research Centre, Directorate B and the Directorate General for Communications Networks, Content and Technology (DG CNECT) of the European Commission. The data and methodologies have been developed in collaboration with the Valencian Institute of Economic Research (IVIE).

    The 2017 PREDICT Dataset has been deepened and expanded in this latest version in order to include complementary dimensions, such as the Media and Content sector and sub-sectors. An updated methodology for estimating ICT Government Budget allocations for Research and Development (ICT GBARD) has been applied. Furthermore, for the most important indicators, existing PREDICT time series have been reconstructed back to 1995, while figures are now-casted for 2015 and 2016.

Publication
The 2017 PREDICT Key Facts Report. An Analysis of ICT R&D in the EU and Beyond
Mas M; Fernández De Guevara Radoselovics J; Robledo J; Lopez Cobo M. The 2017 PREDICT Key Facts Report. An Analysis of ICT RandD in the EU and Beyond. EUR 28594 EN. Luxembourg (Luxembourg): Publications Office of the European Union; 2017. JRC106658
  • Publications Office of the European Union, Luxembourg, Luxembourg
Publication page 
  • Abstract

    The 2017 PREDICT Key Facts Report provides a detailed analysis of the state of ICT R&D activities in the European Union. This is the tenth 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 PREDICT dataset 2017 is based on the latest data available from official sources (such as the Eurostat and OECD, National Accounts and R&D statistics). It also includes the novelty of backwards reconstruction of the series from 1995, which allows it to cover the period from 1995 to 2014. Therefore, it provides a long-term analysis of the EU ICT sector and its R&D, covering a whole cycle since the initial expansion years, the double recession that began in early 2008, and the most recent evolution up to 2014.

Geographic areas

World

Temporal coverage

From date To date
1995-01-01 2016-12-31

Additional information

Published by
European Commission, Joint Research Centre
Created date
2018-12-14
Modified date
2019-06-27
Issued date
2017-05-10
Landing page
https://ec.europa.eu/jrc/en/predict/ict-sector-analysis-2017/data-metadata 
Language(s)
English
Data theme(s)
Economy and finance, Science and technology
Update frequency
irregular
Identifier
http://data.europa.eu/89h/jrc-predict-predict2017-core
Popularity