Global Retail Analytics Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Retail Analytics market size will reach 3,678.23 Million USD in 2025 and is projected to reach 6,698.08 Million USD by 2032, with a CAGR of 8.94% (2025-2032). Notably, the China Retail Analytics market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Retail analytics refers to the use of data analysis tools and techniques to gain insights into various aspects of retail operations, customer behavior, and market trends. By leveraging data from diverse sources such as point-of-sale systems, online transactions, social media, and inventory management, retail analytics aims to help retailers make informed decisions to enhance performance, optimize inventory, and improve the overall customer experience. This field involves employing statistical methods, data visualization, and machine learning algorithms to identify patterns, predict consumer preferences, optimize pricing strategies, and streamline supply chain management. Retail analytics is instrumental in shaping marketing campaigns, improving inventory efficiency, and tailoring strategies to meet the evolving demands of the retail landscape.
The major global suppliers of Retail Analytics include IBM, Oracle, Microsoft, Manthan, Fujitsu, Blue Yonder (formerly JDA), MicroStrategy, SAP, Bridgei2i, Qlik, SAS Institute, 1010data, Aptos, Symphony RetailAI, SPS, Tableau, Nielsen, RetailNext, HCL Technologies, ShopperTrak, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Retail Analytics. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Retail Analytics market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Retail Analytics market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Retail Analytics industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Retail Analytics Include:
IBM
Oracle
Microsoft
Manthan
Fujitsu
Blue Yonder (formerly JDA)
MicroStrategy
SAP
Bridgei2i
Qlik
SAS Institute
1010data
Aptos
Symphony RetailAI
SPS
Tableau
Nielsen
RetailNext
HCL Technologies
ShopperTrak
Retail Analytics Product Segment Include:
Finance
Marketing and Sales
Human Resources
Operations
Retail Analytics Product Application Include:
Merchandising Analysis
Pricing Analysis
Customer Analytics
Promotional Analysis and Planning
Yield Analysis
Inventory Analysis
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Retail Analytics Industry PESTEL Analysis
Chapter 3: Global Retail Analytics Industry Porter's Five Forces Analysis
Chapter 4: Global Retail Analytics Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Retail Analytics Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Retail Analytics Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Retail Analytics Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Retail Analytics market size will reach 3,678.23 Million USD in 2025 and is projected to reach 6,698.08 Million USD by 2032, with a CAGR of 8.94% (2025-2032). Notably, the China Retail Analytics market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Retail analytics refers to the use of data analysis tools and techniques to gain insights into various aspects of retail operations, customer behavior, and market trends. By leveraging data from diverse sources such as point-of-sale systems, online transactions, social media, and inventory management, retail analytics aims to help retailers make informed decisions to enhance performance, optimize inventory, and improve the overall customer experience. This field involves employing statistical methods, data visualization, and machine learning algorithms to identify patterns, predict consumer preferences, optimize pricing strategies, and streamline supply chain management. Retail analytics is instrumental in shaping marketing campaigns, improving inventory efficiency, and tailoring strategies to meet the evolving demands of the retail landscape.
The major global suppliers of Retail Analytics include IBM, Oracle, Microsoft, Manthan, Fujitsu, Blue Yonder (formerly JDA), MicroStrategy, SAP, Bridgei2i, Qlik, SAS Institute, 1010data, Aptos, Symphony RetailAI, SPS, Tableau, Nielsen, RetailNext, HCL Technologies, ShopperTrak, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Retail Analytics. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Retail Analytics market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Retail Analytics market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Retail Analytics industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Retail Analytics Include:
IBM
Oracle
Microsoft
Manthan
Fujitsu
Blue Yonder (formerly JDA)
MicroStrategy
SAP
Bridgei2i
Qlik
SAS Institute
1010data
Aptos
Symphony RetailAI
SPS
Tableau
Nielsen
RetailNext
HCL Technologies
ShopperTrak
Retail Analytics Product Segment Include:
Finance
Marketing and Sales
Human Resources
Operations
Retail Analytics Product Application Include:
Merchandising Analysis
Pricing Analysis
Customer Analytics
Promotional Analysis and Planning
Yield Analysis
Inventory Analysis
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Retail Analytics Industry PESTEL Analysis
Chapter 3: Global Retail Analytics Industry Porter's Five Forces Analysis
Chapter 4: Global Retail Analytics Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Retail Analytics Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Retail Analytics Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Retail Analytics Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Retail Analytics Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Retail Analytics Product by Type
- 1.2.1 Finance
- 1.2.2 Marketing and Sales
- 1.2.3 Human Resources
- 1.2.4 Operations
- 1.3 Retail Analytics Product by Application
- 1.3.1 Merchandising Analysis
- 1.3.2 Pricing Analysis
- 1.3.3 Customer Analytics
- 1.3.4 Promotional Analysis and Planning
- 1.3.5 Yield Analysis
- 1.3.6 Inventory Analysis
- 1.3.7 Others
- 1.4 Global Retail Analytics Market Size Analysis (2020-2032)
- 1.5 Retail Analytics Market Development Status and Trends
- 1.5.1 Retail Analytics Industry Development Status Analysis
- 1.5.2 Retail Analytics Industry Development Trends Analysis
- 2 Retail Analytics Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Retail Analytics Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Retail Analytics Market Analysis by Country
- 4.1 Global Retail Analytics Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Retail Analytics Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Retail Analytics Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.5 China Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.6 France Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.14 India Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Retail Analytics Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Retail Analytics Market Revenue by Key Suppliers (2021-2025)
- 5.2 Retail Analytics Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Retail Analytics Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Retail Analytics Market Analysis by Type
- 6.1 Global Retail Analytics Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global Retail Analytics Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 IBM
- 7.1.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 IBM Retail Analytics Product Portfolio
- 7.1.3 IBM Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Oracle
- 7.2.1 Oracle Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Oracle Retail Analytics Product Portfolio
- 7.2.3 Oracle Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 Microsoft
- 7.3.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 Microsoft Retail Analytics Product Portfolio
- 7.3.3 Microsoft Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Manthan
- 7.4.1 Manthan Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Manthan Retail Analytics Product Portfolio
- 7.4.3 Manthan Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Fujitsu
- 7.5.1 Fujitsu Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Fujitsu Retail Analytics Product Portfolio
- 7.5.3 Fujitsu Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 Blue Yonder (formerly JDA)
- 7.6.1 Blue Yonder (formerly JDA) Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 Blue Yonder (formerly JDA) Retail Analytics Product Portfolio
- 7.6.3 Blue Yonder (formerly JDA) Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 MicroStrategy
- 7.7.1 MicroStrategy Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 MicroStrategy Retail Analytics Product Portfolio
- 7.7.3 MicroStrategy Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 SAP
- 7.8.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 SAP Retail Analytics Product Portfolio
- 7.8.3 SAP Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Bridgei2i
- 7.9.1 Bridgei2i Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Bridgei2i Retail Analytics Product Portfolio
- 7.9.3 Bridgei2i Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Qlik
- 7.10.1 Qlik Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Qlik Retail Analytics Product Portfolio
- 7.10.3 Qlik Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 SAS Institute
- 7.11.1 SAS Institute Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 SAS Institute Retail Analytics Product Portfolio
- 7.11.3 SAS Institute Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 1010data
- 7.12.1 1010data Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 1010data Retail Analytics Product Portfolio
- 7.12.3 1010data Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 Aptos
- 7.13.1 Aptos Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 Aptos Retail Analytics Product Portfolio
- 7.13.3 Aptos Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Symphony RetailAI
- 7.14.1 Symphony RetailAI Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Symphony RetailAI Retail Analytics Product Portfolio
- 7.14.3 Symphony RetailAI Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 SPS
- 7.15.1 SPS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 SPS Retail Analytics Product Portfolio
- 7.15.3 SPS Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 Tableau
- 7.16.1 Tableau Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 Tableau Retail Analytics Product Portfolio
- 7.16.3 Tableau Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.17 Nielsen
- 7.17.1 Nielsen Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.17.2 Nielsen Retail Analytics Product Portfolio
- 7.17.3 Nielsen Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.18 RetailNext
- 7.18.1 RetailNext Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.18.2 RetailNext Retail Analytics Product Portfolio
- 7.18.3 RetailNext Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.19 HCL Technologies
- 7.19.1 HCL Technologies Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.19.2 HCL Technologies Retail Analytics Product Portfolio
- 7.19.3 HCL Technologies Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.20 ShopperTrak
- 7.20.1 ShopperTrak Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.20.2 ShopperTrak Retail Analytics Product Portfolio
- 7.20.3 ShopperTrak Retail Analytics Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Retail Analytics Industry Chain Analysis
- 8.2 Retail Analytics Product Downstream Application Analysis
- 8.2.1 Global Retail Analytics Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Retail Analytics Revenue and Forecast by Application (2020-2032)
- 8.3 Retail Analytics Typical Downstream Customers
- 8.4 Retail Analytics Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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