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Asia-Pacific Big Data in E-Commerce Market 2019-2028

  • ID: 5022540
  • Report
  • May 2020
  • Region: Asia Pacific
  • 106 pages
  • Triton Market Research
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FEATURED COMPANIES

  • Amazon Web Services Inc
  • Data USA
  • Guavus Inc
  • IBM Corporation
  • Oracle
  • SAP SE
  • MORE
Market Outlook

The Big Data in e-commerce market in Asia-Pacific is likely to grow at a CAGR 14.19% in the forthcoming years 2019-2028.

ASEAN countries, China, Japan, South Korea, Australia & New Zealand, India and the Rest of APAC together constitute Asia-Pacific’s Big Data in e-commerce market.

Asia-Pacific is expected to be the largest market for Big Data in e-commerce in the forecasted period. The growing adoption of technology and the major expansion of e-commerce applications of Big Data in Asian countries like China are some of the factors driving the regional market growth. The majority of the corporations in the region have become aware of the benefits of adopting Big Data solutions in business processes in order to get meaningful insights into the behavioral patterns of consumer purchases.

It is reported that there is a considerable increase in the number of internet users and social media users. Online product searches and e-shopping concepts have been increasingly gaining attention. Due to the growing penetration of technology and smartphones, there is an increased preference for mobile platforms in the region. These factors are likely to generate a large volume of structured and unstructured data sets. Such datasets would need proper utilization by using software tools. The rising use of online platforms is expected to generate a large volume of consumer data, resulting in e-commerce companies, which makes use of customer analytics solutions to develop personalized business models. These factors indicate that there will be increased adoption of Big Data in e-commerce, thereby proliferating the market growth.

Competitive Outlook

The major players in the Big Data in e-commerce market are Palantir Technologies, Dell Technologies, SAS Institute Inc, Cloudera Inc, Amazon Web Services Inc, Hewlett Packard Enterprise Development LP, SAP SE, Splunk Inc and International Business Machines Corporation.
Note: Product cover images may vary from those shown
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FEATURED COMPANIES

  • Amazon Web Services Inc
  • Data USA
  • Guavus Inc
  • IBM Corporation
  • Oracle
  • SAP SE
  • MORE
1. Asia-Pacific 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. Asia-Pacific Big Data in E-Commerce Market Outlook - by Deployment
3.1. Cloud-Based
3.2. On-Premises

4. Asia-Pacific Big Data in E-Commerce Market Outlook - by Data Type
4.1. Structured
4.2. Unstructured
4.3. Semi-Structured

5. Asia-Pacific 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. Asia-Pacific 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. Asia-Pacific Big Data in E-Commerce Market – Regional Outlook
7.1. China
7.2. Japan
7.3. India
7.4. South Korea
7.5. Asean Countries
7.6. Australia & New Zealand
7.7. Rest of Asia-Pacific

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 Development LP
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

List of Tables
Table 1: Asia-Pacific 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: Asia-Pacific Big Data in E-Commerce Market, by Deployment, 2019-2028 (In $ Million)
Table 5: Asia-Pacific Big Data in E-Commerce Market, by Data Type, 2019-2028 (In $ Million)
Table 6: Asia-Pacific Big Data in E-Commerce Market, by Solution, 2019-2028 (In $ Million)
Table 7: Asia-Pacific Big Data in E-Commerce Market, by End-User, 2019-2028 (In $ Million)
Table 8: Asia-Pacific Big Data in E-Commerce Market, by Country, 2019-2028 (In $ Million)

List of Figures
Figure 1: Market Attractiveness Index
Figure 2: Industry Components
Figure 3: Asia-Pacific Big Data in E-Commerce Market, by Cloud-Based, 2019-2028 (In $ Million)
Figure 4: Asia-Pacific Big Data in E-Commerce Market, by On-Premises, 2019-2028 (In $ Million)
Figure 5: Asia-Pacific Big Data in E-Commerce Market, by Structured, 2019-2028 (In $ Million)
Figure 6: Asia-Pacific Big Data in E-Commerce Market, by Unstructured, 2019-2028 (In $ Million)
Figure 7: Asia-Pacific Big Data in E-Commerce Market, by Semi-Structured, 2019-2028 (In $ Million)
Figure 8: Asia-Pacific Big Data in E-Commerce Market, by Content Analytics, 2019-2028 (In $ Million)
Figure 9: Asia-Pacific Big Data in E-Commerce Market, by Customer Analytics, 2019-2028 (In $ Million)
Figure 10: Asia-Pacific Big Data in E-Commerce Market, by Fraud Detection, 2019-2028 (In $ Million)
Figure 11: Asia-Pacific Big Data in E-Commerce Market, by Risk Management, 2019-2028 (In $ Million)
Figure 12: Asia-Pacific Big Data in E-Commerce Market, by Online Classified, 2019-2028 (In $ Million)
Figure 13: Asia-Pacific Big Data in E-Commerce Market, by Online Education, 2019-2028 (In $ Million)
Figure 14: Asia-Pacific Big Data in E-Commerce Market, by Online Financial, 2019-2028 (In $ Million)
Figure 15: Asia-Pacific Big Data in E-Commerce Market, by Online Retail, 2019-2028 (In $ Million)
Figure 16: Asia-Pacific Big Data in E-Commerce Market, by Online Travel and Leisure, 2019-2028 (In $ Million)
Figure 17: Asia-Pacific Big Data in E-Commerce Market, by Other End-Users, 2019-2028 (In $ Million)
Figure 18: Asia-Pacific Big Data in E-Commerce Market, Regional Outlook, 2019 & 2028 (In %)
Figure 19: China Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 20: Japan Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 21: India Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 22: South Korea Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 23: Asean Countries Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 24: Australia & New Zealand Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Figure 25: Rest of Asia-Pacific Big Data in E-Commerce Market, 2019-2028 (In $ Million)
Note: Product cover images may vary from those shown
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  • Microsoft Corporation
  • IBM Corporation
  • Oracle
  • Amazon Web Services Inc
  • SAP SE
  • Hewlett Packard Enterprise Development LP
  • Data USA
  • Cloudera Inc
  • SAS Institute Inc
  • Teradata Corporation
  • Guavus Inc
  • Palantir Technologies
  • Hitachi Ltd
  • Dell Technologies
  • Splunk Inc
Note: Product cover images may vary from those shown
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