ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

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ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

The Asia Pacific big data in e-commerce market is estimated to register growth at a CAGR of 15.10% during the forecast period, 2020-2028. The growth factors are accredited to the expanding e-commerce applications and the growing adoption of technology among the countries of the market region. Many organizations in the region are using big solutions for gaining meaningful insights with regard to customer behavioral patterns. Also, the number of internet users is growing in the region.

ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET FORECAST 2020-2028

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The Asia Pacific big data in e-commerce market is estimated to register growth at a CAGR of 15.10% during the forecast period, 2020-2028. The growth factors are accredited to the expanding e-commerce applications and the growing adoption of technology among the countries of the market region. Many organizations in the region are using big solutions for gaining meaningful insights with regard to customer behavioral patterns. Also, the number of internet users is growing in the region.

The Asia Pacific big data in e-commerce market growth is analyzed through the countries of Japan, China, Thailand, Indonesia, Vietnam, South Korea, India, Australia & New Zealand, and the rest of Asia Pacific. In China, the increasing penetration of the internet and the rising number of smartphone users, along with the need for customer & behavioral analytics and the growing algorithm development, are resulting in a vast amount of being generated, thereby driving big data technology in the country. The Chinese e-commerce company, JD. Com, uses big data for financial modeling.  The increasing investments are also set to fuel the market growth of the country. India comes under the top 10 big data analytics markets if the world. According to NASSCOM, the country is set to account for a considerable share of the global analytics market. Thus, big data analytics have huge growth opportunities in the country. The Indian government has put forth a ‘Big Data Management Policy’ that was launched by the Comptroller and Auditor General of India (CAG), wherein the huge volume of data generated by the central and state government departments will be managed under the policy.

Hitachi Ltd. manufactures electronic and electrical products. The company’s product portfolio includes Pentaho Business Analytics, Hitachi Content Intelligence, Pentaho Data Integration, etc. The company has its operations in North America, Europe, and Latin America. The company has its headquarters in Chiyoda-Ku, Tokyo, Japan. The company developed an open-source software based big data analytics technology in November 2017 for accelerating the speed by 100 times.

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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
    •    ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • INDONESIA
      • THAILAND
      • VIETNAM
      • AUSTRALIA & NEW ZEALAND
      • REST OF ASIA PACIFIC
  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: ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET, BY COMPONENT, HISTORICAL YEARS, 2016-2019 (IN $ MILLION)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

TABLE 19: ASIA PACIFIC 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: ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET, GROWTH POTENTIAL, BY COMPONENT, IN 2019

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

FIGURE 43: AUSTRALIA & NEW ZEALAND BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

FIGURE 44: REST OF ASIA PACIFIC BIG DATA IN E-COMMERCE MARKET, 2020-2028 (IN $ MILLION)

  1. GEOGRAPHICAL ANALYSIS
    •    ASIA PACIFIC
      • CHINA
      • JAPAN
      • INDIA
      • SOUTH KOREA
      • INDONESIA
      • THAILAND
      • VIETNAM
      • AUSTRALIA & NEW ZEALAND
      • REST OF ASIA PACIFIC
  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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