NESSI Summit 2014 The European Data Market · 2014. 6. 5. · Analysis of transactional data from...

NESSI Summit 2014

The European Data Market

Gabriella Cattaneo, IDC Europe

May 27, 2014 Brussels

Content

The Big Data Market – main

trends

The European Data Market –

gaining speed

Measuring the European Data

Market – a challenge

Issues for discussion: a

community effort

© IDC Visit us at IDC.com and follow us on Twitter: @IDC 2

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.

3

What is Big Data?

Growth of the Digital Universe from 2013 to 2020


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 (IoT)

Source: IDC for EMC 2014

The Big Data Market grows 6 times

faster than the traditional IT market


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

Content


trends


gaining speed




community effort


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 market sectors already familiar with analytics will lead:

business-to-consumer (B2C) industries, large enterprises.

Big Data helps European companies to “think global, act local”

and manage diversity

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.

2 o u t o ff 3

%

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

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


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

Big Data Leading Use Cases by Sector

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


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


Data transfers to non-EU

countries

Sanctions

Right to erasure

Explicit consent

Profiling

Data protection officer

Big Data Challenges:

Data Privacy – Regulation and Attitudes

http://www.google.co.uk/url?sa=i&rct=j&q=&esrc=s&frm=1&source=images&cd=&cad=rja&docid=daD1VBqrqDozZM&tbnid=u7Niaud23MnjZM:&ved=0CAUQjRw&url=http://www.eric-ciotti.com/2013/09/25/roms-eric-ciotti-denonce-lincompetence-de-viviane-reding/&ei=YEZxUsejBqbM0QWBxoDgBQ&bvm=bv.55617003,d.bGE&psig=AFQjCNHe39iDHXT2RyThyXU0E4_2scX5OA&ust=1383241690984871

Content


trends


gaining speed




community effort


The European Data Market – Main Goals

A study contracted by DG 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.


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

Data

Pri

va

cy

Data

Ow

ners

hip

Co

pyri

gh

t

Se

cu

rity

Sk

ills

infr

as

tru

ctu

re

s

Inte

rop

era

bilty

, S

tan

da

rds

Ac

ce

ss

to

ris

k

ca

pit

al

Primary use

Re-use

A preliminary view of the Data Value Chain and

ecosystem

Main Stakeholders Data Holders – Suppliers/ Specialised Intermediaries/ ICT Enablers/ Users

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

Main Questions

Who are the data workers?

• Data workers collect, storage, manage and analyze data, as their primary activity.

What is the difference between the Data economy and the Data Market

• The Data economy includes the indirect and induced impacts generated by data applications

and services; the Data Market represents the marketplace where data-based products and

services are exchanged and sold

Who are the data companies?

• Legal entities operating in a country whose core business is the data market including:

• Specialised intermedia

• User companies with intensity of data-driven business

What is the data market size?

• Revenues of data companies


Content


trends


gaining speed




community effort


Big Data....Maps explosion


A suggested taxonomy of actors


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 regulators other services

The EDM (EU Data Market) Website and

online community

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

Crowd-curated map of data companies

Add your company here

Aggregated event feed

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/



http://www.open-evidence.com/call-for-animators-on-big-data/














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

[email protected]

mailto:[email protected]

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NESSI Summit 2014 The European Data Market · 2014. 6. 5. · Analysis of transactional data from...

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