At a glance Infographic September 2016
Economic impact of Big Data The five Vs in the Big Data definition High Speed Broadband
Velocity Variety Veracity
Cloud Computing
BIG DATA
Volume Value
The Big Data Value Public and Private Partnership was set up to strengthen all elements in the value chain. By bringing together industry, academia, users and policy-makers it aims to enhance benchmark recognition, to foster development of new skills and to support innovative Big Data technologies. Skills
Data Analytics
High Performance Computing
Legal
Social da ta DATA
The Big Data value chain Business Generation & Acquisition
Storage & Curation
Analysis & Processing
Services & Visualisation
Technical Applications
The European Big Data Strategy encompasses specific competitiveness, innovation and technology, societal and operational objectives. They are monitored through performance indicators that measure, among other things, the impact on GDP and employment. The size of the data market value in the charts below is estimated by IDC based on contributions from business analytics and system infrastructure software, IT hardware and IT services.
Big Data employment and market value in the EU and other major economies
EU 'data user' companies by sector (%) Employment 7.5
11
0.5 2.7
10
120
11.6
100 80
8
22.4
Construction Education Finance Health ICT Manufacturing Profesional Services Public Administration Transport Utilities Retail & Wholesale
54.4
60
6 6
15
6.3
Million employees 12 115.5
10
12
.5
5.8
20
20
3.2
8
10
2
Market Value
40
24
2
3.6
5.2
Japan
Brazil
1.5 3.1
7
4.
4
20
4.3 11
0
US
EU
0
18.5
More information on the developing applications of big data and data analytics may be found in an EPRS briefing.
EPRS | European Parliamentary Research Service Author: Eulalia Claros Members’ Research Service PE 589.802
EPRS
Economic impact of Big Data
Data industry: workers, companies and total impacts in 2015, and 2020 forecasts An EP resolution of 10 March 2016 quotes the benefits of a data driven economy and its expected impact on GDP growth and on job creation according to different worldwide studies. Estimates for the expected development of the data economy in the EU, shown in the three graphs below, are produced by IDC according to 'challenge' (lower blue line), 'baseline' (orange square) and 'high' (upper blue line) scenarios.
15
Workers employed in 2015 as % of total employment, and forecast 2020 employment growth rate
12 9 6 3 0 -3 -6
NL UK IE LU BE DE FR MT SE IT AT FI PT DK EU ES CY EE CZ LT LV PL SI EL HR BG SK HU RO
Data users in 2015 as % of all companies, and 2020 forecast 25 20 15 10 5 0
NL UK IE LU BE DE FR MT SE IT AT FI PT DK EU ES CY EE CZ LT LV PL SI EL HR BG SK HU RO 3.9 3.5 1.7
2.9 3.8 2.7
4.0 3.3 4.3 4.9 6.1 5.0 3.4 3.6 9.9 12 2.1 9.7 5.0 3.5 2.6 4.4 2.4 3.0 2.6 2.5 3.3
Data revenues as % of total revenue in 2015 (estimate)
GDP impacts of the estimated value generated by data companies in 2015, and 2020 forecast 10 8 6 4 2 0
NL UK IE LU BE DE FR MT SE IT AT FI PT DK EU ES CY EE CZ LT LV PL SI EL HR BG SK HU RO
Notes Data workers are the workforce directly involved in the collection, storage, management and analysis of data. Data users are companies that generate, exploit, collect and analyse digital data intensively. They represent the demand side of the data market. Data revenues are generated by companies selling data-related products and services, including exports outside the EU. The value of the data economy includes the overall impacts of data companies, and involves the generation, collection, storage, processing, distribution, analysis, elaboration, delivery and exploitation of data enabled by digital technologies. It is based on the estimate of all economic impacts following adoption of data-driven innovation and data technologies in the EU. Country codes: Austria (AT), Belgium (BE), Bulgaria (BG), Cyprus (CY), Czech Republic (CZ), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (EL), Croatia (HR), Hungary (HU), Irelands, (IE), Italy (IT), Latvia (LV), Lithuania (LT), Luxembourg (LU), Malta (MT), Netherlands (NL), Poland (PL), Portugal (PT), Romania (RO), Slovakia (SK), Slovenia (SI), Spain, (ES), Sweden (SE), United Kingdom (UK), European Union (EU). Disclaimer and Copyright. The content of this document is the sole responsibility of the author and any opinions expressed therein do not necessarily represent the official position of the European Parliament. It is addressed to the Members and staff of the EP for their parliamentary work. Reproduction and translation for noncommercial purposes are authorised, provided the source is acknowledged and the European Parliament is given prior notice and sent a copy. © European Union, 2016.
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