NESSI Summit 2014 The European Data Market. Gabriella Cattaneo, IDC Europe May 27, 2014 Brussels
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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 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 2
3 What is Big Data? Value Volume Velocity Variety 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.
4 Growth of the Digital Universe from 2013 to % 37 % 4.4 Trillion GB 44 Trillion GB Share of useful data on total Data from embedded systems (IoT) 10% Data on the cloud 20% Data on the cloud 40% 2% Source: IDC for EMC IDC Visit us at IDC.com and follow us on 4
5 The Big Data Market grows 6 times faster than the traditional IT market Big Data Technologies and Services Market, worldwide Bn Bn hardware software services Source: IDC 2014 IDC Visit us at IDC.com and follow us on 5
6 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 6
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 7
8 Big Data Adoption in the EU main MS - (DE, ES, FR, IT, UK) Big Data Value from unstructured data 30% 2 o u t o f 3 of WE companies will adopt Big Data by year-end 2015 WE companies using a Big Data solution appreciate the benefits in terms of velocity in analyzing data. Better and faster answers Data explosion 14% 7% 23% % Adoption 7% Velocity Decision support and forecasts 49% Already adopted Not adopted and no adoption plans Don't know Plan to adopt in the next 24 months Not familiar Base: all sample n = 1,651 Source: IDC European Vertical Markets Survey, October
9 Big Data Adoption by Industry: Telecom/ media and Financial services lead but Healtcare has big plans Sectors Ranking by % enterprises users of Big Data Top 3 sectors by Investment Plans by 2015 Telecom/media Financial services Discrete manufacturing Financial services Retail/wholesale Total Utilities/oil and gas Professional Process manufacturing Healthcare Healthcare Discrete manufacturing Government/ education 0% 10% 20% 30% 40% 50% 60% Base: all sample n = 1,651 Source: IDC European Vertical Markets Survey, October
10 Big Data Leading Use Cases by Sector Network optimization Customer scoring and churn mitigation Customer center and call center efficiency Customer profiling, targeting, and optimization of offers for crossselling Locationbased services using GPS data and geospatial analytics Algorithmic trading Influencer Analysis Sentiment analysis and brand reputation Financial services Telecom Non-analytic workload (e.g., websites or ) Analysis of transactional data from Analysis of machine or device data sales systems Discrete manufacturing 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 Readmissions management Elective surgeries Healthcare Illness/disease progression Complications management 10
11 Big Data Challenges: Data Privacy Regulation and Attitudes Data transfers to non-eu countries Sanctions Right to erasure Explicit consent Profiling Data protection officer IDC Visit us at IDC.com and follow us on 11
12 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 12
13 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. IDC Visit us at IDC.com and follow us on 13
14 Data Privacy Data Ownership Copyright Security Skills infrastructure s Interoperabilty, Standards Access to risk capital A preliminary view of the Data Value Chain and ecosystem Framework Conditions of development of the European Data Economy Policy/ Regulatory Framework Conditions Non Regulatory Framework Conditions MACROECONOMIC IMPACTS GDP growth DATA VALUE CHAIN SMEs and jobs creation Data - driven competitiveness of EU industry Data collection and creation Storage, aggregation, organization Analysis, processing, marketing and distribution Primary use Re-use Main Stakeholders Data Holders Suppliers/ Specialised Intermediaries/ ICT Enablers/ Users MICROECONOMIC IMPACTS Costs savings Increased flexibility thanks to timely and improved decision making New products/services Improved customer services Increased revenue
15 European Data Market Monitoring Tool Data Market Taxonomy Type of data, Type of stakeholders, Type of skills, Type of Technologies, Tools, Applications, Services Design of the Data Value Chain 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 5 Data workers skills gap Description Measurement approach Data sources Indicator 6 Citizen s Data Economy Description Measurement approach Data sources
16 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 IDC Visit us at IDC.com and follow us on 16
17 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 17
18 Big Data...Maps explosion IDC Visit us at IDC.com and follow us on 18
19 A suggested taxonomy of actors Enabling players VC research training incubators other services regulators ICT enablers: Radoop Talend Sensaris Data holders Gov, Personal, Scientific, Business, Sensor data Marketplaces Knoema Quandl Dandelion Europeana Analytics Teralytics ; SAS Captain Dash Datasift ; Spaziodati RapidMiner Cross infrastructure Amazon MS-Azure SAP Google IBM Data market Data landscape Vertical apps Exelate Kreditech Mendeley Doctoralia Data Users Gov Industry Civil society IDC Visit us at IDC.com and follow us on 19
20 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
21 Crowd-curated map of data companies Add your company here
22 Aggregated event feed
23 Help us out (available mid-june) Call for animators:
24 IDC in Europe and Big Data Gabriella Cattaneo IDC European Government Consulting Big Data & Social Business Practice Co-Leads Alys Woodward Research Director, European Software (Big Data, Advanced Analytics, Enterprise Social) Donna Taylor Research Director European Storage
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