Vancouver, BC -- (SBWIRE) -- 04/22/2021 -- 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% 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. 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.

The latest market evaluation report on the Big Data Analytics in Retail market explores how the Big Data Analytics in Retail market will continue to expand for the forecast period 2020 - 2028. The study further serves as a unique research for stakeholders, product owners, and field marketing executives looking for actionable data and unique resource on market size, share, and growth. The market intelligence report gives business evangelists an authority to review the major trends, opportunities, and challenges expected to shape the future of the industry during the estimated period. Importantly, the study not only helps spot the major vendors but also their winning strategies. The real-time data accumulated through qualitative and quantitative research technique further help business owners determine where they stand in comparison to their region, country, and product category.

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Research Methodology
Data triangulation and market breakdown
Research assumptions Research data including primary and secondary data
Primary data includes breakdown of primaries and key industry insights
Secondary data includes key data from secondary sources

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.

Key questions answered in the report
What will be the market size in terms of value and volume in the next five years?
Which segment is currently leading the market?
In which region will the market find its highest growth?
Which players will take the lead in the market?
What are the key drivers and restraints of the market's growth?

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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

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 analyze 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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Report Objectives
Examine the size of the global Big Data Analytics in Retail market based on the parameters of value and volume.
Accurately calculate the market shares, consumption, and other essential aspects of different segments of the global Big Data Analytics in Retail market.
Explore the underlying dynamics of the global Big Data Analytics in Retail market.
Highlight significant trends of the global Big Data Analytics in Retail market based on factors including, production, revenue, and sales.
Extensively profile top players of the global Big Data Analytics in Retail market and showing how they compete in the industry.
Study manufacturing processes and the costs, product pricing, and various trends associated with them.
Analyze the performance of different regions and countries in the global Big Data Analytics in Retail market.
Forecast the market size and share of all segments and regions in the global landscape.

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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, 2019-2028
Chapter 3. Key Insights
Chapter 4. Big Data Analytics in Retail Market Segmentation & Impact Analysis
4.1. Big Data Analytics in Retail Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
4.2.2.1. Stringent environmental regulations
4.2.2.2. Rising need to reduce bacterial or algal contamination in water systems
4.2.2.3. Increasing demand for biocides for municipal water treatment
4.2.3. Market restraints analysis
4.2.3.1. Fluctuating prices of raw material
4.2.3.2. Present challenging economic conditions due to the pandemic
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 Application Insights & Trends, Revenue (USD Million), Volume (Kilo Tons)
Chapter 6. Big Data Analytics in Retail Market By Product type Insights & Trends Revenue (USD Million), Volume (Kilo Tons)
Chapter 7. Big Data Analytics in Retail Market Regional Outlook
Chapter 8. Competitive Landscape
Continued…