Friday, April 9, 2021

Big Data Analytics in Retail Market Size Worth USD 20.82 Billion in 2028, Market Trends - Increasing ERP applications to enhance management processes in retail sector

The global big data analytics in retail market reached a market size of USD 4.56 Billion in 2020 and is expected to register a robust CAGR of 21.2% during the forecast period

World-Wide big data analytics in retail market reached a market size of USD 4.56 Billion in 2020 and is expected to register a robust CAGR of 21.2% over the forecast period, according to latest analysis by Emergen Research. 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.

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The report is a comprehensive research study of the global Big Data Analytics in Retail market inclusive of the latest trends, growth factors, developments, opportunities, and competitive landscape. The research study includes an in-depth analysis of the market using advanced research methodologies such as SWOT analysis and Porter’s Five Forces analysis

The report also covers the developments and government regulations related to COVID-19. The report further analyzes the current and future impact of COVID-19 on the global market and provides an insight into the post-COVID-19 situation.

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.

  • 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

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We provide detailed product mapping and investigation of various market scenarios. Our expert analysts provide a thorough analysis and breakdown of the market presence of key market leaders. We strive to stay updated with the recent developments and follow the latest company news related to the industry players operating in the global Big Data Analytics in Retail market. This helps us to comprehensively analysis the individual standing of the companies as well as the competitive landscape. Our vendor landscape analysis offers a complete study to help you gain the upper hand in the competition.

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Regional Bifurcation of the Big Data Analytics in Retail Market Includes:

  • 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)

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

Chapter 5. Big Data Analytics in Retail Market By Component Insights & Trends Revenue (USD Billion) 

    5.1. Component Dynamics & Market Share, 2020 & 2028

          5.1.1. Services

          5.1.2. Software

Chapter 6. Big Data Analytics in Retail Market By Deployment Insights & Trends Revenue (USD Billion) 

    6.1. Deployment Dynamics & Market Share, 2020 & 2028

          6.1.1. Cloud-Based

          6.1.2. On-Premise

Chapter 7. Big Data Analytics in Retail Market By Application Insights & Trends Revenue (USD Billion) 

    7.1. Application Dynamics & Market Share, 2020 & 2028

          7.1.1. Customer Analytics

          7.1.2. Sales & Marketing Analytics

          7.1.3. Merchandising Analytics

          7.1.4. Supply Chain Operations Management

          7.1.5. Social Media Analytics

          7.1.6. Others

Continue…!

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