The Global Big Data Analytics in Retail Market report by Emergen Research in an all-encompassing analysis of the Big Data Analytics in Retail market and offers a complete overview of the worldwide industry to predict market growth over the forecast period. The latest study performs the quantitative and qualitative assessment of the global market dynamics, taking into consideration a slew of factors, such as market penetration, product portfolios, pricing structure, end-user industries, and key drivers and constraints. The report segments the market to help readers get a more in-depth understanding of the different aspects of the market.

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. It is not a modern idea that retailers purposefully plan their layout, thus letting customers come away with far more products than they initially planned to purchase. In

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Key Highlights of Report

• 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.
• Key market players include 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.
• In May 2019, SAP SE declared that NPC International (NPC), which is the world's leading Pizza Hut and Wendy's franchisee, deployed SuccessFactors SAS applications for human capital management and SAP S/4HANA Cloud solutions for enterprise resource planning. Through applications rolled out to 40,000 U.S. workforce, NPC has effectively simplified its activities and built a digital roadmap toward the future.

Big Data Analytics in Retail Market Segmentation:

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)
  • Services
  • Software
• Deployment Outlook (Revenue, USD Billion; 2021–2028)
  • Cloud-Based
  • On-Premises
• Application Outlook (Revenue, USD Billion; 2021–2028)
  • Customer Analytics
  • Sales & Marketing Analytics
  • Merchandising Analytics
  • Supply Chain Operations Management
  • Social Media Analytics
  • Others

The most prominent geographical segments covered in the report include:

• North America (U.S., Canada)
• Europe (U.K., Italy, Germany, France, Rest of EU)
• Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
• Latin America (Chile, Brazil, Argentina, Rest of Latin America)
• Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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Key questions addressed in the report:

• Which are the top regions in the global Big Data Analytics in Retail market?
• What are the sales estimates for these regions over the forecast period?
• What will be the global market size by the end of the projected timeline?
• What is the anticipated growth rate for each region of the market?

Table of Content:
Chapter 1. Methodology & Sources
    1.1. Market Definition
    1.2. Research Scope 
    1.3. Methodology
    1.4. Research Sources
          1.4.1. Primary
          1.4.2. Secondary
          1.4.3. Paid Sources
    1.5. Market Estimation Technique
Chapter 2. Executive Summary
    2.1. Summary Snapshot, 2020-2028
Chapter 3. Key Insights
Chapter 4. Big Data Analytics in Retail Market Segmentation & Impact Analysis
    4.1. Big Data Analytics in Retail Market Segmentation Analysis
    4.2. Industrial Outlook
          4.2.1. Market indicators analysis
          4.2.2. Market drivers analysis
                    4.2.2.1. Increasing focus on data-driven decision making for store layout and staff management
                    4.2.2.2. Growing need to enhance customer experience with personalized offering
                    4.2.2.3. Rising demand for price optimization in retail industry
                    4.2.2.4. Increasing demand for predictive analytics in retail industry
          4.2.3. Market restraints analysis
                    4.2.3.1. Concerns in storing and processing data from disparate applications
                    4.2.3.2. Challenges in the capture of consumer information
    4.3. Technological Insights
    4.4. Regulatory Framework
    4.5. Porter’s Five Forces Analysis
    4.6. Competitive Metric Space Analysis
    4.7. Price trend Analysis
    4.8. Covid-19 Impact Analysis

READ MORE…!

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