The 2014 NESSI summit discussed the rapid growth of the European big data market, highlighting key trends, challenges in measuring the market, and the need for a collaborative community effort. The adoption of big data technologies is accelerating, particularly in the UK, Germany, and France, with sectors like financial services and healthcare leading investment plans. Additionally, the summit emphasized the importance of addressing data privacy issues and developing a European data market monitoring tool to support economic policies.

1. NESSI Summit 2014
The European Data Market
Gabriella Cattaneo, IDC Europe
May 27, 2014 Brussels

2. Content
 The Big Data Market – main
trends
 The European Data Market –
an emerging ecosystem
 Measuring the European Data
Market – a challenge
 Issues for discussion: a
community effort
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3. Volume
Variety
Velocity
Value
 Big Data technologies
describe a new
generation of
technologies and
architectures designed
to economically
extract value from very
large volumes of a
wide variety of data by
enabling
high-velocity capture,
discovery, and/or
analysis.
What is Big Data?

4. Growth of the Digital Universe from 2013 to 2020
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4.4 Trillion GB 44 Trillion GB
Data on the
cloud 20%
Data on the
cloud 40%
22% 37
%
Share of useful
data on total
2%
10%
2013 2020
Data from embedded
systems
Source: IDC for EMC 2014

5. The Big Data Market grows 6 times
faster than the traditional IT market
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7.2
23.7
2012 2017
€ Bn
Big Data Technologies and Services Market, worldwide
Source: IDC 2014
2.3
4.3
2.7
2013 - € Bn
hardware
software
services

6. Content
 The Big Data Market – main
trends
 The European Data Market –
an emerging ecosystem
 Measuring the European Data
Market – a challenge
 Issues for discussion: a
community effort
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7. 7
Big Data Adoption in Europe Will Accelerate in 2014
 Big Data is becoming mainstream in North America, but
Europe lagged behind due to
• Size factor: smaller organizations and smaller data sets
• Expensive, scarce data analytics skills
• Economic crisis, cautiousness in new investments
 IDC survey data indicates that the most mature
geographies are starting to ramp up in adoption: the U.K.,
Germany, and France.
 The analytically mature market sectors will lead: business-
to-consumer (B2C) industries and large enterprises.
 Big Data helps European companies to “think global, act
local” and manage diversity

8. 23%
7%
49%
14%
7%
Already adopted Plan to adopt in the next 24 months
Not adopted and no adoption plans Not familiar
Don't know
Value from
unstructured
data
Data
explosion
Decision
support and
forecasts
Velocity
Better and
faster
answers
Big Data of WE companies will adopt Big Data by
year-end 2015
8
30%
WE companies using a Big Data solution
appreciate the benefits in terms of velocity in
analyzing data.
2o ut off3
%
Adoption
Base: all sample n = 1,651
Source: IDC European Vertical Markets Survey, October 2013
Big Data Adoption in the EU main MS
- (DE, ES, FR, IT, UK)

9. 9
Big Data Adoption by Industry: Telecom/ media and
Financial services lead but Healtcare has big plans
Financial
services
Healthcare
Discrete
manufacturing
Top 3 sectors by
Investment Plans by 2015
Base: all sample n = 1,651
Source: IDC European Vertical Markets Survey, October 2013
0% 10% 20% 30% 40% 50% 60%
Government/ education
Healthcare
Process manufacturing
Professional…
Utilities/oil and gas
Total
Retail/wholesale
Discrete manufacturing
Financial services
Telecom/media
Sectors Ranking by % enterprises
users of Big Data

10. 10
Big Data Use Cases
Non-analytic
workload
(e.g., websites or
email) Analysis of
transactional
data from
sales
systems
Analysis of
machine or
device
data
Discrete
manufacturing
Algorithmic
trading
Sentiment
analysis and
brand reputation
Influencer
Analysis
Customer
profiling,
targeting, and
optimization of
offers for cross-
selling
Financial services
n = 477
Base: companies adopting or planning to adopt a Big Data solution by year-end 2015
Source: IDC European Vertical Markets Survey, October 2013
Network
optimization
Customer
center and call
center
efficiency
Customer
scoring and
churn
mitigation
Location-
based services
using GPS
data and
geospatial
analytics
Telecom
Readmissions
management
Illness/disease
progression
Elective
surgeries
Complications
management
Healthcare

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 Data transfers to non-EU
countries
 Sanctions
 Right to erasure
 Explicit consent
 Profiling
 Data protection officer
Big Data Challenge:
Data Privacy – Legislation and Attitudes

12. Content
 The Big Data Market – main
trends
 The European Data Market –
an emerging ecosystem
 Measuring the European Data
Market – a challenge
 Issues for discussion: a
community effort
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13. The European Data Market – Main Goals
 A study contracted by IDG CNECT to IDC and Open Evidence
 The main goal of this study is to define, assess and measure
the European data economy with the aim to support the EC’s
Data Value Chain policy.
The specific objectives are:
 Objective A: The development of a European Data Market Monitoring Tool
providing facts and figures on market size and trends;
 Objective B: The collection and production of descriptive stories about the
European data economy including quantiative facts and figures;
 Objective C: Building a community of relevant stakeholders in the EU to
deep internal connections among existing communities and reach out to
different and new stakeholders.
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14. MICROECONOMIC
IMPACTS
Costs savings
Increased flexibility
thanks to timely and
improved decision
making
New
products/services
Improved customer
services
Increased revenue
MACROECONOMIC
IMPACTS
GDP growth
SMEs and jobs
creation
Data-driven
competitiveness of
EU industry
Data collection and
creation
Storage,
aggregation,
organization
Analysis,
processing,
marketing and
distribution
DATA VALUE CHAIN
Framework Conditions of development of the European Data Economy
Policy/ Regulatory Framework Conditions Non Regulatory Framework Conditions
DataPrivacy
Data
Ownership
Copyright
Security
Skills
infrastructure
s
Interoperabilt
y,Standards
Accesstorisk
capital
Primary use
Re-use
A preliminary view of the Data Value Chain and
ecosystem

15. Data Market Taxonomy
Type of data,
Type of stakeholders,
Type of skills,
Type of Technologies, Tools, Applications, Services
Indicator 1
Number of
Data
workers
Description
Measurement
approach
Data sources
Indicator 2
Number of
Data-related
companies
Description
Measurement
approach
Data sources
Indicator 3
Revenues of
Data-related
companies
Description
Measurement
approach
Data sources
Indicator 4
Data Market
size
Description
Measurement
approach
Data sources
Indicator 6
Citizen’s
Data
Economy
Description
Measurement
approach
Data sources
Indicator 5
Data workers
skills gap
Description
Measurement
approach
Data sources
European Data Market Monitoring Tool
Design of the Data Value Chain

16. Content
 The Big Data Market – main
trends
 The European Data Market –
an emerging ecosystem
 Measuring the European Data
Market – a challenge
 Issues for discussion: a
community effort
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17. Big Data....Maps explosion
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18. A suggested taxonomy of actors
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Data landscape
Data market
Data
holders
Gov,
Personal,
Scientific,
Business,
Sensor
data
Marketplaces
Knoema
Quandl
Dandelion
Europeana
ICT enablers: Radoop Talend Sensaris
Analytics
Teralytics ; SAS
Captain Dash
Datasift ; Spaziodati
RapidMiner
Vertical
apps
Exelate
Kreditech
Mendeley
Doctoralia
Data
Users
Gov
Industry
Civil
society
Enabling players
Cross infrastructure
Amazon MS-Azure SAP Google IBM
VC research training incubators regulatorsother services

19. Website objectives
 To give visibility to the data companies in EU
 To aggregate information about the existing data
communities (meta-community)
 To facilitate discussion about EU policies related
to the data economy
 To disseminate data snippets from the study

20. Crowd-curated map of data companies
Add your company here

21. Aggregated event feed

22. Help us out
 www.datalandscape.eu (available mid-june)
 #eudatalandscape
 @eudatalandscape
 https://groups.diigo.com/group/eudataeconomy
 Call for animators: http://www.open-
evidence.com/call-for-animators-on-big-data/

23. IDC in Europe and Big Data
 Alys Woodward – Research Director,
European Software (Big Data, Advanced
Analytics, Enterprise Social)
 Donna Taylor – Research Director
European Storage
Big Data & Social Business Practice Co-Leads
Gabriella Cattaneo
IDC European Government Consulting
gcattaneo@idc.com