The study is a professional probe into the revenue generated and capacity estimates for the Big Data Analytics in Retail market for the forecast period 2021 - 2028 empower the business owners to maintain a competitive edge over their rivals.
Vancouver, BC -- (SBWIRE) -- 05/06/2021 -- 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.
The latest market research report on Big Data Analytics in Retail market, samples and measures quality data on the overall business environment for the forecast period 2021-2028.Comprehensive data on growing investment pockets evaluated in the report on Big Data Analytics in Retail market are powered and backed by human answers. Comprehensive coverage of aspects such as market potential, size, share, and growth aims at creating an equation for profitability- whether stakeholders, business owners, and field marketing executives need to understand their market foothold and dynamics
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The report further studies the key companies operating in the industry and their company profiles, product portfolio, expansion strategies, and strategic alliances such as mergers and acquisitions, collaborations, and joint ventures, among others. It also offers insights into their market reach and global position, along with highlights about their achievements and financial standings.
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.
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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.
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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The report further examines the market in the key regions of the world with regard to production and consumption patterns, import/export, supply and demand ratio, revenue generation, market share and size, and presence of prominent players in the regions. The report also covers the expansion plans undertaken by companies in the regions under the regional analysis section.
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
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