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Global Big Data in E-commerce Market 2022
The global big data in e-commerce market is poised to grow by US$ 2,514.5 million during 2022-2028, progressing at a CAGR of 10.3% during the forecast period, according to data and analytics company StrategyHelix.
The report provides up-to-date market size data for period 2018-2021 and forecast to 2028 covering key market aspects like sales value for big data in e-commerce. The global big data in e-commerce market is segmented on the basis of component, solution, type of data, deployment mode, end user, and region. By component, the global big data in e-commerce market has been segmented into software, hardware. Based upon solution, the global big data in e-commerce market is categorized into content analytics, customer analytics, fraud detection, risk management. In 2021, the customer analytics segment made up the largest share of revenue generated by the big data in e-commerce market. On the basis of type of data, the global big data in e-commerce market has been segmented into semi-structured, structured, unstructured. Among these, the structured segment was accounted for the highest revenue generator in 2021. By deployment mode, the global big data in e-commerce market has been segmented into cloud-based, on-premises. Based on end user, the global big data in e-commerce market is categorized into online classified ads, education, financial services, retail, travel and leisure, others. Geographically, the global big data in e-commerce market is segmented into Asia Pacific, Europe, North America, Rest of the World (RoW).
The global big data in e-commerce market is highly competitive. The leading players in the big data in e-commerce market include Amazon Web Services Inc., Dell Inc., The Hewlett Packard Enterprise Company, Hitachi Ltd., IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Splunk Inc., Teradata Corporation.
The report is an invaluable resource for companies and organizations active in this industry. It provides a cohesive picture of the big data in e-commerce market to help drive informed decision making for industry executives, policy makers, academic, and analysts.
Component: software, hardware
Solution: content analytics, customer analytics, fraud detection, risk management
Type of data: semi-structured, structured, unstructured
Deployment mode: cloud-based, on-premises
End user: online classified ads, education, financial services, retail, travel and leisure, others
Region: Asia Pacific, Europe, North America, Rest of the World (RoW)
Years considered: this report covers the period 2018 to 2028
Key Benefits for Stakeholders
– Get a comprehensive picture of the global big data in e-commerce market
– Identify regional strategies and strategic priorities on the basis of local data
– Pinpoint growth sectors and trends for investment
Table of Contents
Part 1. Introduction
– Scope of the study
– Study period
– Geographical scope
– Research methodology
Part 2. Big data in e-commerce market overview
Part 3. Market breakdown by component
Part 4. Market breakdown by solution
– Content analytics
– Customer analytics
– Fraud detection
– Risk management
Part 5. Market breakdown by type of data
Part 6. Market breakdown by deployment mode
Part 7. Market breakdown by end user
– Online classified ads
– Financial services
– Travel and leisure
Part 8. Market breakdown by region
– Asia Pacific
– North America
– Rest of the World (RoW)
Part 9. Key companies
– Amazon Web Services, Inc.
– Dell Inc.
– The Hewlett Packard Enterprise Company
– Hitachi, Ltd.
– IBM Corporation
– Microsoft Corporation
– Oracle Corporation
– SAP SE
– SAS Institute Inc.
– Splunk Inc.
– Teradata Corporation