Garnering a CAGR of 10.3% from 2022 to 2028, the global big data in e-commerce market is projected to reach worth of USD 5,655 million by 2028-end, according to a new report by Gen Consulting Company.

This industry report offers market estimates of the global market, followed by a detailed analysis of the component, solution, type of data, deployment mode, end user, and region. The global market data on big data in e-commerce can be segmented by component: software, hardware. Big data in e-commerce market is further segmented by solution: content analytics, customer analytics, fraud detection, risk management. Globally, the customer analytics segment made up the largest share of the big data in e-commerce market. Based on type of data, the big data in e-commerce market is segmented into: semi-structured, structured, unstructured. The structured segment was the largest contributor to the global big data in e-commerce market in 2021. On the basis of deployment mode, the big data in e-commerce market also can be divided into: cloud-based, on-premises. Big data in e-commerce market by end user is categorized into: online classified ads, education, financial services, retail, travel and leisure, others. The big data in e-commerce market by region can be segmented into: Asia Pacific, Europe, North America, Rest of the World (RoW).

The global big data in e-commerce market is highly competitive. Key companies profiled in the report include Amazon Web Services Inc., Dell Inc., Hewlett Packard Enterprise Company, Hitachi Ltd., International Business Machines Corporation (IBM), Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., Splunk Inc., Teradata Corporation.

The data-centric report focuses on market trends, status and outlook for segments. With comprehensive market assessment across the major geographies, the report is a valuable asset for the existing players, new entrants and the future investors.

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