Cover Image
Market Research Report

Europe Big Data Market Forecast 2019-2027

Published by Inkwood Research Product code 701161
Published Content info 87 Pages
Delivery time: 2-3 business days
Price
Back to Top
Europe Big Data Market Forecast 2019-2027
Published: February 5, 2019 Content info: 87 Pages
Description

KEY FINDINGS

The key application of big data market is in the pharmaceutical and healthcare sectors in Europe. By the end of the projected years of 2019-2027, the Europe big data market is forecasted to rise with a CAGR of 18.20%. Vendors in the market are targeting financial institutions in emerging European countries with increased lease licensing and financial activities in the region.

MARKET INSIGHTS

At present, the UK big data market accounts for the largest revenue share. The booming e-commerce industry is primarily responsible for this market's prosperity. However, in terms of CAGR, the German market is expected to race ahead by the end of 2027. Other key geographies in this region include France, Spain and the rest of Europe. The big data services market in the retail sector in Europe is experiencing remarkable growth as marketing companies are turning to big data solutions to analyze customer data and serve customers better. Companies in the retail sector are adopting big data solutions to understand trends in customer behavior. Thus, the retail organizations in Europe are expected to continue investing in big data solutions.

COMPETITIVE INSIGHTS

Noted market players in this region include Cloudera, Inc., Oracle Corporation, Data USA, Teradata Corporation, Amazon Web Services, Inc., Hitachi, Ltd., International Business Machines Corporation (IBM), Hewlett Packard Enterprise, Guavus, Inc., SAP SE, Palantir Technologies, Inc., Splunk Inc., Dell, Inc., Microsoft Corporation and SAS Institute.

Table of Contents
Product Code: 22066

Table of Contents

1. RESEARCH SCOPE

  • 1.1. STUDY GOALS
  • 1.2. SCOPE OF THE MARKET STUDY
  • 1.3. WHO WILL FIND THIS REPORT USEFUL?
  • 1.4. STUDY & FORECASTING YEARS

2. RESEARCH METHODOLOGY

  • 2.1. SOURCES OF DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
  • 2.2. TOP-DOWN APPROACH
  • 2.3. BOTTOM-UP APPROACH
  • 2.4. DATA TRIANGULATION

3. EXECUTIVE SUMMARY

  • 3.1. MARKET SUMMARY
  • 3.2. KEY FINDINGS
    • 3.2.1. CONTINUAL RISE OF CLOUD COMPUTING - KEY ENABLER FOR BIG DATA ANALYTICS
    • 3.2.2. SERVICES SEGMENT DOMINATES THE MARKET IN TERMS OF COMPONENTS
    • 3.2.3. ON DEMAND IS THE MOST PREFERRED DEPLOYMENT MODE
    • 3.2.4. UNSTRUCTURED DATA OFFERS LUCRATIVE GROWTH OPPORTUNITIES

4. MARKET DYNAMICS

  • 4.1. TIMELINE OF BIG DATA
  • 4.2. PARENT MARKET ANALYSIS: DIGITAL TRANSFORMATION MARKET
  • 4.3. MARKET SCOPE & DEFINITION
  • 4.4. MARKET DRIVERS
    • 4.4.1. RISING ADOPTION OF DIGITAL TECHNOLOGY
    • 4.4.2. PROLIFERATION IN DATA GENERATION
    • 4.4.3. INCREASING TREND OF SMARTPHONE OWNERSHIP & APPS
    • 4.4.4. GROWING INTERNET PENETRATION
  • 4.5. MARKET RESTRAINTS
    • 4.5.1. PRIVACY & SECURITY ISSUES WITH THE BIG DATA
    • 4.5.2. LACK OF AWARENESS
  • 4.6. MARKET OPPORTUNITIES
    • 4.6.1. WIDENED ADOPTION OF BIG DATA AMONG ORGANIZATIONS
    • 4.6.2. RISING NUMBER OF INTERNET OF THINGS (IOT) DEVICES CONTRIBUTING DATA GROWTH
    • 4.6.3. BIG DATA SOLUTIONS ENHANCING ORGANIZATIONAL RETURN ON INVESTMENT
  • 4.7. MARKET CHALLENGES
    • 4.7.1. STORAGE & RETRIEVAL ISSUES OF HUGE AMOUNT OF DATA
    • 4.7.2. SHORTAGE OF BIG DATA PROFESSIONALS

5. MARKET BY COMPONENTS

  • 5.1. SOFTWARE
  • 5.2. SERVICE

6. MARKET BY DEPLOYMENT

  • 6.1. ON DEMAND
  • 6.2. ON PREMISE

7. MARKET BY TYPE

  • 7.1. STRUCTURED
  • 7.2. SEMI-STRUCTURED
  • 7.3. UNSTRUCTURED

8. MARKET BY INDUSTRY VERTICALS

  • 8.1. BANKING, FINANCIAL SERVICES & INSURANCE (BFSI)
  • 8.2. GOVERNMENT & DEFENSE
  • 8.3. HEALTHCARE & LIFESCIENCES
  • 8.4. MANUFACTURING
  • 8.5. RETAIL & CONSUMER
  • 8.6. MEDIA & ENTERTAINMENT
  • 8.7. ENERGY & UTILITIES
  • 8.8. TRANSPORTATION
  • 8.9. IT & TELECOMMUNICATION
  • 8.10. ACADEMIC & RESEARCH
  • 8.11. OTHER INDUSTRY VERTICALS

9. KEY ANALYTICS

  • 9.1. PORTER'S FIVE FORCE MODEL
    • 9.1.1. THREAT OF NEW ENTRANTS
    • 9.1.2. THREAT OF SUBSTITUTE
    • 9.1.3. BARGAINING POWER OF SUPPLIERS
    • 9.1.4. BARGAINING POWER OF BUYERS
    • 9.1.5. THREAT OF COMPETITIVE RIVALRY
  • 9.2. VALUE CHAIN ANALYSIS
    • 9.2.1. SUPPLIERS
    • 9.2.2. DATA ACQUISITION & PROVISIONING
    • 9.2.3. ANALYTICS & VIRTUALIZATION
    • 9.2.4. SOFTWARE DEVELOPMENT
    • 9.2.5. DATA WAREHOUSING
    • 9.2.6. DATA USAGE & END USERS
  • 9.3. KEY BUYING CRITERIA
    • 9.3.1. COST
    • 9.3.2. SERVICE LEVEL AGREEMENT (SLA)
    • 9.3.3. RELIABILITY
    • 9.3.4. SECURITY
  • 9.4. OPPORTUNITY MATRIX
  • 9.5. VENDOR LANDSCAPE
  • 9.6. INVESTMENT ANALYSIS
    • 9.6.1. BY REGION
    • 9.6.2. BY COMPONENT
    • 9.6.3. BY INDUSTRY VERTICALS

10. GEOGRAPHICAL ANALYSIS - EUROPE

  • 10.1. UNITED KINGDOM
  • 10.2. FRANCE
  • 10.3. GERMANY
  • 10.4. SPAIN
  • 10.5. ITALY
  • 10.6. REST OF EUROPE

11. COMPETITIVE LANDSCAPE

  • 11.1. MARKET SHARE ANALYSIS
  • 11.2. KEY COMPANY ANALYSIS
  • 11.3. CORPORATE STRATEGIES
    • 11.3.1. PRODUCT LAUNCH & INNOVATION
    • 11.3.2. PARTNERSHIP & COLLABORATION
    • 11.3.3. MERGER & ACQUISITION
    • 11.3.4. OTHER KEY CORPORATE STRATEGIES
  • 11.4. COMPANY PROFILES
    • 11.4.1. AMAZON WEB SERVICES, INC.
    • 11.4.2. CLOUDERA, INC.
    • 11.4.3. DATA USA
    • 11.4.4. DELL, INC.
    • 11.4.5. GUAVUS, INC.
    • 11.4.6. HEWLETT PACKARD ENTERPRISE
    • 11.4.7. HITACHI, LTD.
    • 11.4.8. INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
    • 11.4.9. MICROSOFT CORPORATION
    • 11.4.10. ORACLE CORPORATION
    • 11.4.11. PALANTIR TECHNOLOGIES, INC.
    • 11.4.12. SAP SE
    • 11.4.13. SAS INSTITUTE
    • 11.4.14. SPLUNK INC.
    • 11.4.15. TERADATA CORPORATION

LIST OF TABLES

  • TABLE 1: EUROPE BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 2: TIMELINE OF BIG DATA
  • TABLE 3: SMARTPHONE OWNERSHIP IN EMERGING GEOGRAPHIES IN 2016 (IN %)
  • TABLE 4: EUROPE BIG DATA MARKET, BY COMPONENTS, 2019-2027 (IN $ BILLION)
  • TABLE 5: EUROPE BIG DATA MARKET, BY DEPLOYMENT, 2019-2027 (IN $ BILLION)
  • TABLE 6: EUROPE BIG DATA MARKET, BY TYPE, 2019-2027 (IN $ BILLION)
  • TABLE 7: EUROPE BIG DATA MARKET, BY INDUSTRY VERTICALS 2019-2027 (IN $ BILLION)
  • TABLE 8: OPPORTUNITY MATRIX
  • TABLE 9: VENDOR LANDSCAPE
  • TABLE 10: EUROPE BIG DATA MARKET, BY GEOGRAPHY, 2019-2027 (IN $ BILLION)
  • TABLE 11: NORTH AMERICA BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 12: EUROPE BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 13: ASIA PACIFIC BIG DATA MARKET, BY COUNTRY, 2019-2027 (IN $ BILLION)
  • TABLE 14: REST OF WORLD BIG DATA MARKET, BY REGION, 2019-2027 (IN $ BILLION)
  • TABLE 15: LIST OF PRODUCT LAUNCH & INNOVATION
  • TABLE 16: LIST OF PARTNERSHIP & COLLABORATION
  • TABLE 17: LIST OF MERGER & ACQUISITIONS
  • TABLE 18: LIST OF OTHER KEY CORPORATE STRATEGIES

LIST OF FIGURES

  • FIGURE 1: EUROPE BIG DATA MARKET, BY INDUSTRY VERTICALS, 2018 & 2027 (IN %)
  • FIGURE 2: WORLDWIDE CLOUD DATA CENTER TRAFFIC GROWTH, 2016-2021 (IN ZETTABYTES/YEAR)
  • FIGURE 3: REGION WISE MOBILE DATA TRAFFIC GENERATION, 2016 (IN %)
  • FIGURE 4: WORLDWIDE MOBILE DATA TRAFFIC FORECASTS, 2016-2021 (EXABYTES PER MONTH)
  • FIGURE 5: MOBILE DATA TRAFFIC IN KEY GEOGRAPHIES, 2017-2021 (EXABYTES PER MONTH)
  • FIGURE 6: SMARTPHONE USERS ACROSS THE WORLD, 2016-2020 (IN BILLION)
  • FIGURE 7: WORLDWIDE INTERNET USERS, 2010-2017 (IN MILLION)
  • FIGURE 8: INTERNET PENETRATION RATE ACROSS GEOGRAPHIES, 2017 (IN %)
  • FIGURE 9: INTERNET OF THINGS (IOT) CONNECTED DEVICES ACROSS THE WORLD, 2014-2020
  • FIGURE 10: EUROPE BIG DATA MARKET, BY SOFTWARE, 2019-2027 (IN $ BILLION)
  • FIGURE 11: EUROPE BIG DATA MARKET, BY SERVICE, 2019-2027 (IN $ BILLION)
  • FIGURE 12: EUROPE BIG DATA MARKET, BY ON DEMAND, 2019-2027 (IN $ BILLION)
  • FIGURE 13: EUROPE BIG DATA MARKET, BY ON-PREMISE, 2019-2027 (IN $ BILLION)
  • FIGURE 14: EUROPE BIG DATA MARKET, BY STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 15: EUROPE BIG DATA MARKET, BY SEMI-STRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 16: EUROPE BIG DATA MARKET, BY UNSTRUCTURED, 2019-2027 (IN $ BILLION)
  • FIGURE 17: EUROPE BIG DATA MARKET, BY BANKING, FINANCIAL SERVICES & INSURANCE (BFSI), 2019-2027 (IN $ BILLION)
  • FIGURE 18: EUROPE BIG DATA MARKET, BY GOVERNMENT & DEFENSE, 2019-2027 (IN $ BILLION)
  • FIGURE 19: EUROPE BIG DATA MARKET, BY HEALTHCARE & LIFESCIENCES, 2019-2027 (IN $ BILLION)
  • FIGURE 20: EUROPE BIG DATA MARKET, BY MANUFACTURING, 2019-2027 (IN $ BILLION)
  • FIGURE 21: EUROPE BIG DATA MARKET, BY RETAIL & CONSUMER, 2019-2027 (IN $ BILLION)
  • FIGURE 22: EUROPE BIG DATA MARKET, BY MEDIA & ENTERTAINMENT, 2019-2027 (IN $ BILLION)
  • FIGURE 23: EUROPE BIG DATA MARKET, BY ENERGY & UTILITIES, 2019-2027 (IN $ BILLION)
  • FIGURE 24: EUROPE BIG DATA MARKET, BY TRANSPORTATION, 2019-2027 (IN $ BILLION)
  • FIGURE 25: EUROPE BIG DATA MARKET, BY IT & TELECOMMUNICATION, 2019-2027 (IN $ BILLION)
  • FIGURE 26: EUROPE BIG DATA MARKET, BY ACADEMIC & RESEARCH, 2019-2027 (IN $ BILLION)
  • FIGURE 27: EUROPE BIG DATA MARKET, BY OTHER INDUSTRY VERTICALS, 2019-2027 (IN $ BILLION)
  • FIGURE 28: PORTER'S FIVE FORCE ANALYSIS
  • FIGURE 29: VALUE CHAIN ANALYSIS
  • FIGURE 30: BIG DATA - SOFTWARE DEVELOPMENT CYCLE
  • FIGURE 31: KEY BUYING IMPACT ANALYSIS
  • FIGURE 32: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY COMPONENT, IN 2018
  • FIGURE 33: INVESTMENT ANALYSIS OF BIG DATA MARKET, BY INDUSTRY VERTICALS, IN 2018
  • FIGURE 34: EUROPE BIG DATA MARKET, REGIONAL OUTLOOK, 2018 & 2027 (IN %)
  • FIGURE 35: UNITED KINGDOM BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 36: FRANCE BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 37: GERMANY BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 38: SPAIN BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 39: ITALY BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 40: REST OF EUROPE BIG DATA MARKET, 2019-2027 (IN $ BILLION)
  • FIGURE 41: MARKET SHARE ANALYSIS OF KEY PLAYERS IN 2018 (IN %)
Back to Top