KEY FINDINGS
The Asia Pacific big data in e-commerce market is evaluated to showcase growth, registering a CAGR of 15.10% during the forecast period, 2020-2028. The growing online product search and social platforms for e-shopping, the increasing digital connectivity, and the rising internet penetration rate are the factors estimated to propel the growth of the market.
MARKET INSIGHTS
The countries included for assessing the growth of the Asia Pacific big data in e-commerce market are Thailand, Vietnam, India, China, Australia & New Zealand, Indonesia, South Korea, Japan, and the rest of Asia Pacific. There have been significant investments in terms of big data adoption in Japan. The new IT strategy of Japan prioritizes open public data and big data. Ryohin Keikaku Co. Ltd. incorporated InteractEdge from Infosys for generating higher sales through personalized product recommendations. South Korea is witnessing rapid growth in its mature e-commerce market, due to the increasing retail sales online and the growing number of mobile devices. The government also aims to build a big data platform that involves the blockchain so as to allow data management security and boost the sharing economy. With the growing number of people getting connected to the internet, the big data implementation in Indonesia is estimated to grow at a faster pace. The country also boasts of a fast-paced economy. The cloud based deployments in the Asia Pacific region have grown significantly, since the businesses are transitioning from simple back-end operations to core processes, which add to the overall growth aspects of the market.
COMPETITIVE INSIGHTS
Some of the key companies influencing the revenue growth of the market are International Business Machines Corporation (IBM), Hewlett Packard Enterprise Company, Guavus Inc, Microsoft Corporation, Hitachi Ltd, etc.
Our report offerings include:
- Explore key findings of the overall market
- Strategic breakdown of market dynamics (Drivers, Restraints, Opportunities, Challenges)
- Market forecasts for a minimum of 9 years, along with 3 years of historical data for all segments, sub-segments, and regions
- Market Segmentation cater to a thorough assessment of key segments with their market estimations
- Geographical Analysis: Assessments of the mentioned regions and country-level segments with their market share
- Key analytics: Porter's Five Forces Analysis, Vendor Landscape, Opportunity Matrix, Key Buying Criteria, etc.
- Competitive landscape is the theoretical explanation of the key companies based on factors, market share, etc.
- Company profiling: A detailed company overview, product/services offered, SCOT analysis, and recent strategic developments
Asia Pacific Big Data In E-Commerce Market Forecast 2020-2028
Table of Contents
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 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
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