The Big Data Analytics in Retail market intelligence report takes a closer view of the global market share, estimated growth rate, future market trends, entry-level barriers, fundamental market drivers, restraints, challenges, and opportunities. The report clearly defines the Big Data Analytics in Retail market position on a global level. The detailed insights into the market’s geographical spectrum offered by the report make it an excellent source of knowledge about the Big Data Analytics in Retail industry.
Growing need to enhance customer experience with personalized offerings in the retail industry is among some of the key factors expected to drive growth of the global big data analytics in retail market during the forecast period. Retail businesses analyze in-store surveillance recordings and data from sensors to enhance consumer experience. Retailers calculate how many buyers tend to move to a storage area and better represent the products individuals are more likely to choose initially.
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The report offers a complete analysis of the global Big Data Analytics in Retail market with details about each market player including company profile, financial standing, global position, revenue contribution, production and manufacturing capacity, business expansion plans, and new product launches. Key players are strategizing various plans such as M&A acquisition, partnerships, joint ventures, license agreement and collaborations. Oracle Corporation, Zoho Corporation, SAP SE, Qlik Technologies Inc., International Business Machines Corporation, Retail Next Inc., Salesforce.com Inc., Microstrategy Inc., Alteryx Inc., and Fuzzy Logix LLC. and others are some of the top companies profiled in the report.
The report also covers the scope of individual applications and types in each region. The report also covers details about production and consumption patterns, technological developments, revenue growth, market size, market share, key trends and demands influencing market growth in the region, and robust presence of key players in the region.
Some key findings from the report suggest
- Increasing adoption of big data analytics software in the retail industry is driving revenue growth of the software segment currently, which is expected to register a significantly high CAGR over the forecast period.
- In terms of market share, the on-premises segment is expected to lead during the forecast period due to increasing implementation of on-premises-based big data analytics solutions for better data privacy in the retail industry.
- In terms of revenue, the customer analytics segment is expected to register significant growth with a high CAGR during the forecast period due to increasing usage of big data analytics software in the retail industry for customer-based analysis.
- Due to high presence of international players such as Oracle Corporation, Zoho Corporation, and International Business Machines Corporation in countries in North America, the market in the region is expected to account for comparatively higher revenue share among other regional markets during the forecast period.
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Emergen Research has segmented the global big data analytics in retail market on the basis of component, deployment, application, and region.
Component Outlook (Revenue, USD Billion; 2021–2028)
Deployment Outlook (Revenue, USD Billion; 2021–2028)
Application Outlook (Revenue, USD Billion; 2021–2028)
- Customer Analytics
- Sales & Marketing Analytics
- Merchandising Analytics
- Supply Chain Operations Management
- Social Media Analytics
Regional segmentation comprises of a current and forecast estimation of the market in the key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.
The report addresses the following key points:
- The report provides a forecast of market drivers, restraints, and future opportunities for the Big Data Analytics in Retail market
- The report further analyses the changing market dynamics
- Regional analysis and segmentation of the market with analysis of the regions and segments expected to dominate the market growth
- Extensive competitive landscape mapping with profiles of the key competitors
- In-depth analysis of business strategies and collaborations such as mergers and acquisitions adopted by the key companies
- Revenue forecast, country scope, application insights, and product insights
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