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EU Data Market study. Presentation at NESSI Summit 2014 IDC & Open Evidence

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The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape …

The study aims to define, assess and measure the European data economy as well as build a genuine stakeholders’ ecosystem. Find us on http://datalandscape.eu and @eudatalandscape

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  • The available storage capacity will decrease from 33% of the digital universe to only 15%
    Connected things from 20 to 30 billions from 7 to 15% of connectable things
  • Copyright 2009 IDC. Reproduction is forbidden unless authorized. All rights reserved.
  • Big Data – Introduction

    Source: IDC European Vertical Markets Survey, October 2013
    n = 1,651 – Base: all sample
  • Western Europe Big Data Adoption by Vertical Market

    Q. Are you familiar, do you already adopt, or are you planning to adopt a Big Data solution?

    Source: IDC European Vertical Markets Survey, October 2013
    n = 1,651 – Base: all sample

    Current adoption of Big Data technologies is still relatively low and concentrated in larger companies. An exception — related to the low adoption rates — is the telecom/media sector, where data explosion led half of the companies to invest in Big Data for modernizing business analytics and data analysis. Other verticals show homogeneous adoption rates, with financial services and discrete manufacturing slightly above average.
    Financial services, discrete manufacturing, and healthcare are ripe for increasing investments in Big Data in the short term, while other verticals such as government/education show a wait-and-see approach.
    It is interesting to see how Big Data is not a familiar term yet for many companies (particularly the smallest ones), and/or they are not aware how this technology could add real value to their businesses.
  • Transcript

    • 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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 2
    • 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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 4 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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 5 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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 6
    • 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
    • 11. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 11  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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 12
    • 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. © IDC Visit us at IDC.com and follow us on Twitter: @IDC 13
    • 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 © IDC Visit us at IDC.com and follow us on Twitter: @IDC 16
    • 17. Big Data....Maps explosion © IDC Visit us at IDC.com and follow us on Twitter: @IDC 17
    • 18. A suggested taxonomy of actors © IDC Visit us at IDC.com and follow us on Twitter: @IDC 18 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

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