EUROPE BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

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EUROPE BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

The Europe big data in e-commerce market is evaluated to record a CAGR of 12.13% during the forecast period. The important factor boosting the market growth is the increasing investment by the organizations on several big data initiatives. The large volume of information gathered in the e-commerce sector leads to the increasing application of big data tools for further insightful analysis. Also, almost 10.6% of the global internet users are from the European region, thereby generating data on a large scale.

EUROPE BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

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The Europe big data in e-commerce market is evaluated to record a CAGR of 12.13% during the forecast period. The important factor boosting the market growth is the increasing investment by the organizations on several big data initiatives. The large volume of information gathered in the e-commerce sector leads to the increasing application of big data tools for further insightful analysis. Also, almost 10.6% of the global internet users are from the European region, thereby generating data on a large scale.

The Europe big data in e-commerce market is assessed on the basis of market analysis of France, Italy, Russia, Germany, Poland, Belgium, the United Kingdom, and the rest of Europe. The UK market region is considered to be one of the lucrative markets in the European market region, due to the growing automation in the country. The increasing demand for solutions in terms of customer insights for the e-commerce industry in the country will further boost the adoption of big data. According to the Office for National Statistics (UK), e-commerce sales witnessed a considerable increase in 2016. According to the SAS Institute, in the United Kingdom, 67% of the industries are estimated to adopt big data analytics in 2020. This will further aid the overall growth of the market. The UK is also a conducive market for the e-commerce industry. In France, the surging demand for big data and analytics makes the country a suitable market for big data in e-commerce in the future. As a result, several vendors are set to expand their business in the country. The internet penetration in the region, too, has witnessed significant growth in the past few years, and is estimated to grow further in the forthcoming years.

SAP SE provides enterprise software solutions, customer relationship management, human capital management, supply management solutions, and data management. It further provides applications, analytics, database, mobile, and cloud and technology operations. It caters to financial and public services, natural resources industries, etc. The company has its operations in the Middle East, Europe, Asia Pacific, Africa, and the Americas. The company has its headquarters in Walldorf, Germany. The product portfolio of the company includes SAP HANA, SAP Data Hub, SAP Analytics Cloud, etc.

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  1. RESEARCH SCOPE & METHODOLOGY
    • STUDY OBJECTIVES
    • SCOPE OF STUDY
    • METHODOLOGY
    • ASSUMPTIONS & LIMITATIONS
  2. EXECUTIVE SUMMARY
    • MARKET SIZE & ESTIMATES
    • MARKET OVERVIEW
  3. MARKET DYNAMICS
    • PARENT MARKET ANALYSIS: BIG DATA MARKET
    • DEVELOPMENT OF BIG DATA
    • MARKET DEFINITION
    •    KEY DRIVERS
      • UTILIZATION OF BIG DATA FOR IMPROVING SALES & CUSTOMER SATISFACTION
      • USE OF BIG DATA BY E-COMMERCE COMPANIES TO DRIVE PRODUCT CUSTOMIZATIONS
      • GROWING INCLINATION TOWARDS VARIOUS ONLINE PAYMENT METHODS
    •    KEY RESTRAINTS
      • SHORTAGE OF TRAINED BIG DATA EXPERTS
      • CONCERNS RELATED TO DATA ACCURACY & PRIVACY
  1. KEY ANALYTICS
    • KEY INVESTMENT INSIGHTS
    •    PORTER’S FIVE FORCE ANALYSIS
      • BUYER POWER
      • SUPPLIER POWER
      • SUBSTITUTION
      • NEW ENTRANTS
      • INDUSTRY RIVALRY
    • OPPORTUNITY MATRIX
    • VENDOR LANDSCAPE
    • VALUE CHAIN ANALYSIS
  2. MARKET BY COMPONENT
    • SOFTWARE
    • HARDWARE
  3. MARKET BY DEPLOYMENT MODEL
    •    CLOUD BASED
      • PRIVATE CLOUD
      • PUBLIC CLOUD
    • ON-PREMISES
  4. MARKET BY TYPE
    • STRUCTURED
    • UNSTRUCTURED
    • SEMI-STRUCTURED
  5. MARKET BY SOLUTION
    • CONTENT ANALYTICS
    • CUSTOMER ANALYTICS
    • FRAUD DETECTION
    • RISK MANAGEMENT
  6. MARKET BY END-USER
    • ONLINE CLASSIFIED
    • ONLINE EDUCATION
    •    ONLINE FINANCIAL
      • BANKING SERVICES/WALLETS
      • FINANCIAL SERVICES
    • ONLINE RETAIL
    • ONLINE TRAVEL AND LEISURE
    • OTHER END-USERS
  7. GEOGRAPHICAL ANALYSIS
    •    EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • ITALY
      • RUSSIA
      • BELGIUM
      • POLAND
      • REST OF EUROPE
  1. COMPANY PROFILES
    • AMAZON WEB SERVICES, INC
    • CLOUDERA INC
    • DATA USA
    • DELL INC
    • GUAVUS INC
    • HEWLETT PACKARD ENTERPRISE COMPANY
    • HITACHI LTD
    • INTERNATIONAL BUSINESS MACHINES CORPORATION (IBM)
    • MICROSOFT CORPORATION
    • ORACLE CORPORATION
    • PALANTIR TECHNOLOGIES
    • SAP SE
    • SAS INSTITUTE
    • SPLUNK INC
    • TERADATA CORPORATION

LIST OF TABLES

TABLE 1: MARKET SNAPSHOT – BIG DATA IN E-COMMERCE

TABLE 2: DEVELOPMENT OF BIG DATA

TABLE 3: MOST COMMONLY USED MOBILE PAYMENT OPTIONS WITH THEIR APPROXIMATE USERS

TABLE 4: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COMPONENT, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 5: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COMPONENT, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 6: EUROPE BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT MODEL, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 7: EUROPE BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT MODEL, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 8: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 9: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 10: EUROPE BIG DATA IN E-COMMERCE MARKET, BY TYPE, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 11: EUROPE BIG DATA IN E-COMMERCE MARKET, BY TYPE, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 12: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 13: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 14: EUROPE BIG DATA IN E-COMMERCE MARKET, BY END-USER, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 15: EUROPE BIG DATA IN E-COMMERCE MARKET, BY END-USER, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 16: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 17: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, FORECAST YEARS, 2020-2028 (IN $ MILLION)

TABLE 18: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

TABLE 19: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, FORECAST YEARS, 2020-2028 (IN $ MILLION)

LIST OF FIGURES

FIGURE 1: PAYMENT METHOD SHARE IN E-COMMERCE TRANSACTIONS, 2018 & 2022 (IN %)

FIGURE 2: KEY INVESTMENT INSIGHTS

FIGURE 3: REGION WISE MOBILE DATA TRAFFIC GENERATION (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: PORTER’S FIVE FORCE ANALYSIS

FIGURE 7: OPPORTUNITY MATRIX

FIGURE 8: VENDOR LANDSCAPE

FIGURE 9: VALUE CHAIN ANALYSIS

FIGURE 10: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY COMPONENT, IN 2019

FIGURE 11: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SOFTWARE, 2020-2028 (IN $ MILLION)

FIGURE 12: EUROPE BIG DATA IN E-COMMERCE MARKET, BY HARDWARE, 2020-2028 (IN $ MILLION)

FIGURE 13: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY DEPLOYMENT MODEL, IN 2019

FIGURE 14: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CLOUD BASED, 2020-2028 (IN $ MILLION)

FIGURE 15: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY CLOUD BASED, IN 2019

FIGURE 16: EUROPE BIG DATA IN E-COMMERCE MARKET, BY PRIVATE CLOUD, 2020-2028 (IN $ MILLION)

FIGURE 17: EUROPE BIG DATA IN E-COMMERCE MARKET, BY PUBLIC CLOUD, 2020-2028 (IN $ MILLION)

FIGURE 18: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ON-PREMISES, 2020-2028 (IN $ MILLION)

FIGURE 19: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY TYPE, IN 2019

FIGURE 20: EUROPE BIG DATA IN E-COMMERCE MARKET, BY STRUCTURED, 2020-2028 (IN $ MILLION)

FIGURE 21: EUROPE BIG DATA IN E-COMMERCE MARKET, BY UNSTRUCTURED, 2020-2028 (IN $ MILLION)

FIGURE 22: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SEMI-STRUCTURED, 2020-2028 (IN $ MILLION)

FIGURE 23: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY SOLUTION, IN 2019

FIGURE 24: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CONTENT ANALYTICS, 2020-2028 (IN $ MILLION)

FIGURE 25: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CUSTOMER ANALYTICS, 2020-2028 (IN $ MILLION)

FIGURE 26: EUROPE BIG DATA IN E-COMMERCE MARKET, BY FRAUD DETECTION, 2020-2028 (IN $ MILLION)

FIGURE 27: EUROPE BIG DATA IN E-COMMERCE MARKET, BY RISK MANAGEMENT, 2020-2028 (IN $ MILLION)

FIGURE 28: EUROPE BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY END-USER, IN 2019

FIGURE 29: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE CLASSIFIED, 2020-2028 (IN $ MILLION)

FIGURE 30: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE EDUCATION, 2020-2028 (IN $ MILLION)

FIGURE 31: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, 2020-2028 (IN $ MILLION)

FIGURE 32: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE RETAIL, 2020-2028 (IN $ MILLION)

FIGURE 33: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE TRAVEL AND LEISURE, 2020-2028 (IN $ MILLION)

FIGURE 34: EUROPE BIG DATA IN E-COMMERCE MARKET, BY OTHER END-USERS, 2020-2028 (IN $ MILLION)

FIGURE 35: EUROPE BIG DATA IN E-COMMERCE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)

FIGURE 36: UNITED KINGDOM BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 37: GERMANY BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 38: FRANCE BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 39: ITALY BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 40: RUSSIA BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 41: BELGIUM BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 42: POLAND BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 43: REST OF EUROPE BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

  1. GEOGRAPHICAL ANALYSIS
    • EUROPE
      • UNITED KINGDOM
      • GERMANY
      • FRANCE
      • ITALY
      • RUSSIA
      • BELGIUM
      • POLAND
      • REST OF EUROPE
  1. MARKET BY COMPONENT
    • SOFTWARE
    • HARDWARE
  2. MARKET BY DEPLOYMENT MODEL
    •    CLOUD BASED
      • PRIVATE CLOUD
      • PUBLIC CLOUD
    • ON-PREMISES
  3. MARKET BY TYPE
    • STRUCTURED
    • UNSTRUCTURED
    • SEMI-STRUCTURED
  4. MARKET BY SOLUTION
    • CONTENT ANALYTICS
    • CUSTOMER ANALYTICS
    • FRAUD DETECTION
    • RISK MANAGEMENT
  5. MARKET BY END-USER
    • ONLINE CLASSIFIED
    • ONLINE EDUCATION
    •    ONLINE FINANCIAL
      • BANKING SERVICES/WALLETS
      • FINANCIAL SERVICES
    • ONLINE RETAIL
    • ONLINE TRAVEL AND LEISURE
    • OTHER END-USERS

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