Retail analytics is a procedure for analyzing of data and data gathering across the entire value chain in order to deliver analytical insights on supply chain activities, inventory levels, sales, consumer buying behavior, consumer demands, etc. which helps enterprises and organizations in taking marketing and procurement related decisions. Major features driving the growth of the global retail analytics market are growing rapid adoption and internet penetration of big data analytics and cloud-based services. Furthermore, technological advancements such as artificial intelligence, augmented reality, and machine learning are further driving progress of the global retail analytics market. Major features hampering the development of the global retail analytics market are lack of alertness in certain regions, high analytics cost, and inability to understand offline market behavior of consumers. Moreover, integration of complex systems is a challenge which is expected to hamper the development of the global retail analytics market.
The Retail Analytics Market is projected to grow up to US$ 19 billion by 2028 growing at a CAGR of 22.47% during the forecasting period 2023-2028.
Report Scope
The global market report scope consists of a comprehensive study covering primary factors impacting the industry trends. The study includes analysis of regional and country-level market dynamics. The scope also consists of competitive overview offering company market shares coupled with company profiles for key revenue contributing companies. The report scope covers a detailed competitive outlook covering market shares and profiles of key participants in the market share.
Major Market Players
The key players of the market are Microsoft, IBM, Oracle, Salesforce, SAP, AWS, SAS Institut, Qlik, Manthan, Bridgei2i, MicroStrategy, Teradata, HCL, Fujitsu, Domo, Google, FLIR Systems, Information Builders, Capillary and RetailNext
The Retail Analytics Market report has been categorized as below
By Business Function
By Organization Size
By Component
By Application
By End User
By Region
The years considered for the study are as follows:
Key Questions Addressed by the Report
Why Buy this Report:
1. Retail Analytics Market Introduction
1.1. Key Insights
1.2. Report Overview
1.3. Markets Covered
1.4. Stakeholders
2. Research Methodology
2.1. Research Scope
2.2. Market Research Process
2.3. Research Data Analysis
2.4. Market Size Estimation
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Drivers and Restraints
5. By Business Function
5.1. Key Points
5.2. Finance
5.3. Marketing and sales
5.4. Human Resources
5.5. Operations
6. By Organization Size
6.1. Key Points
6.2. SMEs
6.3. Large Enterprises
7. By End User
7.1. Key Points
7.2. Offline
7.3. Online
8. By Component
8.1. Key Points
8.2. Solutions
8.3. Services
8.3.1. Professional Services
8.3.2. Managed Services
9. By Applications
9.1. Key Points
9.2. Merchandising analysis
9.3. Pricing analysis
9.4. Customer analytics
9.5. Promotional analysis and planning
9.6. Yield analysis
9.7. Inventory analysis
9.8. Others
10. By Region
10.1. Key Points
10.2. North America
10.3. Europe
10.4. Asia Pacific
10.5. Rest of the World
11. Company Profile
(Profile contain company overview, products/services, financials & recent developments)
11.1. Microsoft
11.2. IBM
11.3. Oracle
11.4. Salesforce
11.5. SAP
11.6. AWS
11.7. SAS Institut
11.8. Qlik
11.9. Manthan
11.10. Bridgei2i
11.11. MicroStrategy
11.12. Teradata
11.13. HCL
11.14. Fujitsu
11.15. Domo
11.16. Google
11.17. FLIR Systems
11.18. Information Builders
11.19. Capillary
11.20. RetailNext
The Retail Analytics Market report has been categorized as below
By Business Function
By Organization Size
By Component
By Application
By End User
By Region
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