Global Retail Analytics Competitive Landscape Professional Research Report 2024
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.
According to DIResearch's in-depth investigation and research, the global Retail Analytics market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.
The major global manufacturers 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 tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Retail Analytics. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, 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 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, 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 Manufacturers 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 Trends
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 and Forecast Analysis
Chapter 5: Global Retail Analytics Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Retail Analytics Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Retail Analytics Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources