According to a new report Global Big Data Analytics in Retail Market, published by KBV research, The Global Big Data Analytics in Retail Market size is expected to reach $14.1 billion by 2026, rising at a market growth of 23.4% CAGR during the forecast period.
Based on the component, the software segment dominated the overall big data analytics in retail market size in 2019. This is credited to the benefits of big data analytics in retail solutions, for example, delivering business-critical insight into anticipating future patterns based on historic data, insights regarding customer behavior, pricing analysis, market basket analysis, and supply chain management.
As per application, the supply chain operation management segment represented the largest share of big data analytics in the retail market in the worldwide market in 2019. However, the customer analytics segment is anticipated to develop at the highest rate during the forecast period attributable to expanding the need to gain important knowledge with respect to user inclinations, buying patterns, and user behavior.
In 2019, North America represented the largest big data analytics in retail market share, because of high spending on big data analytics devices and early adoption of modern innovations, for example, IoT, AI, and more, in this region. Moreover, the massive presence of leading market players in North America is additionally boosting the development of this segment.
Structural Insights: https://www.kbvresearch.com/big-data-analytics-in-retail-market/
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Salesforce.com, Inc., Adobe, Inc., Teradata Corporation, MicroStrategy, Inc., Alteryx, Inc., and Zoho Corporation Pvt. Ltd.
By Component
By Deployment Type
By Organization Size
By Application
By Geography
Companies Profiled
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