Table of Content

1. Research Scope & Methodology
1.1. Study Objectives
1.2. Scope Of Study
1.3. Methodology
1.4. Assumptions & Limitations

2. Executive Summary
2.1. Market Size & Estimates
2.2. Market Overview

3. Market Dynamics
3.1. Parent Market Analysis: Big Data Market
3.2. Development Of Big Data
3.3. Market Definition
3.4. Key Drivers
3.4.1. Utilization Of Big Data For Improving Sales & Customer Satisfaction
3.4.2. Use Of Big Data By E-Commerce Companies To Drive Product Customizations
3.4.3. Growing Inclination Towards Various Online Payment Methods
3.5. Key Restraints
3.5.1. Shortage Of Trained Big Data Experts
3.5.2. Concerns Related To Data Accuracy & Privacy

4. Key Analytics
4.1. Key Investment Insights
4.2. Porter’S Five Force Analysis
4.2.1. Buyer Power
4.2.2. Supplier Power
4.2.3. Substitution
4.2.4. New Entrants
4.2.5. Industry Rivalry
4.3. Opportunity Matrix
4.4. Vendor Landscape
4.5. Value Chain Analysis

5. Market By Component
5.1. Software
5.2. Hardware

6. Market By Deployment Model
6.1. Cloud Based
6.1.1. Private Cloud
6.1.2. Public Cloud
6.2. On-Premises

7. Market By Type
7.1. Structured
7.2. Unstructured
7.3. Semi-Structured

8. Market By Solution
8.1. Content Analytics
8.2. Customer Analytics
8.3. Fraud Detection
8.4. Risk Management

9. Market By End-User
9.1. Online Classified
9.2. Online Education
9.3. Online Financial
9.3.1. Banking Services/Wallets
9.3.2. Financial Services
9.4. Online Retail
9.5. Online Travel And Leisure
9.6. Other End-Users

10. Geographical Analysis
10.1. Asia Pacific
10.1.1. China
10.1.2. Japan
10.1.3. India
10.1.4. South Korea
10.1.5. Indonesia
10.1.6. Thailand
10.1.7. Vietnam
10.1.8. Australia & New Zealand
10.1.9. Rest Of Asia Pacific

11. Company Profiles
11.1. Amazon Web Services Inc
11.2. Cloudera Inc
11.3. Data Usa
11.4. Dell Inc
11.5. Guavus Inc
11.6. Hewlett Packard Enterprise Company
11.7. Hitachi Ltd
11.8. International Business Machines Corporation (Ibm)
11.9. Microsoft Corporation
11.10. Oracle Corporation
11.11. Palantir Technologies
11.12. Sap Se
11.13. Sas Institute
11.14. Splunk Inc
11.15. Teradata Corporation



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


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)