Market By Deployment, Data Type, Solution, End-user And Geography | Forecast 2019-2028
As per a Triton Market Research report on the European Big Data in e-commerce market states that it is growing at a CAGR of 11.26% in the estimated years 2019-2028.
The countries evaluated in the Europe Big Data in e-commerce market are:
• Italy
• The United Kingdom
• Germany
• Russia
• France
• Spain
• Rest of Europe
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The Big Data in e-commerce market in the UK is growing considerably due to the growing automation in the country. The rising demand to provide customer insights into the e-commerce industry is likely to augment further adoption of Big Data in the country. It is reported that around 67% of the industries in Europe will adopt Big Data analytics by the year 2020, which will influence the market growth positively. The presence of major e-commerce giants, including eBay, Amazon and Tesco, make the UK market lucrative for the e-commerce industry. All these developments are contributing to the growth of the Big Data in e-commerce market in the country over the forecasted period.
In Germany, Big Data is considered as one of the critical innovation sectors, and is witnessing tremendous growth. This growth is primarily driven by the growing internet penetration, e-commerce and advertising sectors, which are emphasizing on adopting innovative ways of managing Big Data. Moreover, German corporations are increasingly focusing on Big Data technology as a new source for developmental advancement. A huge volume of data is left unused every day, which creates opportunities for solutions that focus on Big Data technology. The German e-commerce sector is also growing at a rapid pace, and hence, the growth of Big Data in e-commerce is expected in the country over the years.
SAP SE is a Germany-based company that is involved in providing enterprise software solutions. The company provides supply chain management solutions, data management, customer relationship management and human capital management. It offers its products and services to a wide range of sectors like financial services & public services, natural resources and discrete manufacturing. Headquartered in Walldorf, Germany, the company has major business presence across the Middle East, Europe, Americas, Asia-Pacific and Africa.
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VIEW REPORT1. EUROPE BIG DATA IN E-COMMERCE MARKET - SUMMARY
2. INDUSTRY OUTLOOK
2.1. MARKET DEFINITION
2.2. PARENT MARKET ANALYSIS: BIG DATA MARKET
2.3. EVOLUTION & TRANSITION OF BIG DATA
2.4. KEY INSIGHTS
2.4.1. UNSTRUCTURED DATA OFFERS LUCRATIVE GROWTH OPPORTUNITIES
2.4.2. CLOUD IS THE MOST PREFERRED DEPLOYMENT MODE
2.4.3. CONTEXTUAL & PROGRAMMATIC ADVERTISING – KEY TREND
2.4.4. RISE IN SUBSCRIPTION-BASED BUSINESS MODELS
2.5. PORTER’S FIVE FORCE ANALYSIS
2.5.1. THREAT OF NEW ENTRANTS
2.5.2. THREAT OF SUBSTITUTE
2.5.3. BARGAINING POWER OF BUYERS
2.5.4. BARGAINING POWER OF SUPPLIERS
2.5.5. THREAT OF COMPETITIVE RIVALRY
2.6. MARKET ATTRACTIVENESS INDEX
2.7. VENDOR SCORECARD
2.8. INDUSTRY COMPONENTS
2.9. MARKET DRIVERS
2.9.1. ADOPTION OF BIG DATA BY ONLINE RETAILERS TO GAIN COMPETITIVE ADVANTAGE
2.9.2. E-RETAILERS USING BIG DATA FOR CUSTOMER BEHAVIORAL ANALYSIS & PERSONALIZED RECOMMENDATIONS
2.10. MARKET RESTRAINTS
2.10.1. LACK OF BIG DATA PROFESSIONALS
2.11. MARKET OPPORTUNITIES
2.11.1. GROWING PREFERENCE OF CONSUMERS TOWARDS ONLINE PAYMENT METHODS
2.11.2. MASSIVE GROWTH IN THE DATA GENERATION
2.12. MARKET CHALLENGES
2.12.1. PRIVACY OF BIG DATA – MAJOR CHALLENGE
3. EUROPE BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY DEPLOYMENT
3.1. CLOUD-BASED
3.2. ON-PREMISES
4. EUROPE BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY DATA TYPE
4.1. STRUCTURED
4.2. UNSTRUCTURED
4.3. SEMI-STRUCTURED
5. EUROPE BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY SOLUTION
5.1. CONTENT ANALYTICS
5.2. CUSTOMER ANALYTICS
5.3. FRAUD DETECTION
5.4. RISK MANAGEMENT
6. EUROPE BIG DATA IN E-COMMERCE MARKET OUTLOOK - BY END-USER
6.1. ONLINE CLASSIFIED
6.2. ONLINE EDUCATION
6.3. ONLINE FINANCIAL
6.4. ONLINE RETAIL
6.5. ONLINE TRAVEL AND LEISURE
6.6. OTHER END-USERS
7. EUROPE BIG DATA IN E-COMMERCE MARKET – REGIONAL OUTLOOK
7.1. UNITED KINGDOM
7.2. GERMANY
7.3. FRANCE
7.4. SPAIN
7.5. ITALY
7.6. RUSSIA
7.7. REST OF EUROPE
8. COMPETITIVE LANDSCAPE
8.1. MICROSOFT CORPORATION
8.2. IBM CORPORATION
8.3. ORACLE
8.4. AMAZON WEB SERVICES INC
8.5. SAP SE
8.6. HEWLETT PACKARD ENTERPRISE
8.7. DATA USA
8.8. CLOUDERA INC
8.9. SAS INSTITUTE INC
8.10. TERADATA CORPORATION
8.11. GUAVUS INC
8.12. PALANTIR TECHNOLOGIES
8.13. HITACHI LTD
8.14. DELL TECHNOLOGIES
8.15. SPLUNK INC
9. RESEARCH METHODOLOGY & SCOPE
9.1. RESEARCH SCOPE & DELIVERABLES
9.2. SOURCES OF DATA
9.3. RESEARCH METHODOLOGY
TABLE 1: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
TABLE 2: EVOLUTION & TRANSITION OF BIG DATA
TABLE 3: VENDOR SCORECARD
TABLE 4: EUROPE BIG DATA IN E-COMMERCE MARKET, BY DEPLOYMENT, 2019-2028 (IN $ MILLION)
TABLE 5: EUROPE BIG DATA IN E-COMMERCE MARKET, BY DATA TYPE, 2019-2028 (IN $ MILLION)
TABLE 6: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SOLUTION, 2019-2028 (IN $ MILLION)
TABLE 7: EUROPE BIG DATA IN E-COMMERCE MARKET, BY END-USER, 2019-2028 (IN $ MILLION)
TABLE 8: EUROPE BIG DATA IN E-COMMERCE MARKET, BY COUNTRY, 2019-2028 (IN $ MILLION)
FIGURE 1: MARKET ATTRACTIVENESS INDEX
FIGURE 2: INDUSTRY COMPONENTS
FIGURE 3: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CLOUD-BASED, 2019-2028 (IN $ MILLION)
FIGURE 4: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ON-PREMISES, 2019-2028 (IN $ MILLION)
FIGURE 5: EUROPE BIG DATA IN E-COMMERCE MARKET, BY STRUCTURED, 2019-2028 (IN $ MILLION)
FIGURE 6: EUROPE BIG DATA IN E-COMMERCE MARKET, BY UNSTRUCTURED, 2019-2028 (IN $ MILLION)
FIGURE 7: EUROPE BIG DATA IN E-COMMERCE MARKET, BY SEMI-STRUCTURED, 2019-2028 (IN $ MILLION)
FIGURE 8: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CONTENT ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 9: EUROPE BIG DATA IN E-COMMERCE MARKET, BY CUSTOMER ANALYTICS, 2019-2028 (IN $ MILLION)
FIGURE 10: EUROPE BIG DATA IN E-COMMERCE MARKET, BY FRAUD DETECTION, 2019-2028 (IN $ MILLION)
FIGURE 11: EUROPE BIG DATA IN E-COMMERCE MARKET, BY RISK MANAGEMENT, 2019-2028 (IN $ MILLION)
FIGURE 12: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE CLASSIFIED, 2019-2028 (IN $ MILLION)
FIGURE 13: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE EDUCATION, 2019-2028 (IN $ MILLION)
FIGURE 14: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE FINANCIAL, 2019-2028 (IN $ MILLION)
FIGURE 15: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE RETAIL, 2019-2028 (IN $ MILLION)
FIGURE 16: EUROPE BIG DATA IN E-COMMERCE MARKET, BY ONLINE TRAVEL AND LEISURE, 2019-2028 (IN $ MILLION)
FIGURE 17: EUROPE BIG DATA IN E-COMMERCE MARKET, BY OTHER END-USERS, 2019-2028 (IN $ MILLION)
FIGURE 18: EUROPE BIG DATA IN E-COMMERCE MARKET, REGIONAL OUTLOOK, 2019 & 2028 (IN %)
FIGURE 19: UNITED KINGDOM BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 20: GERMANY BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 21: FRANCE BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 22: SPAIN BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 23: ITALY BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 24: RUSSIA BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)
FIGURE 25: REST OF EUROPE BIG DATA IN E-COMMERCE MARKET, 2019-2028 (IN $ MILLION)