Retail Analytics Research: the global market size is projected to reach USD 5.96 billion by 2032

QY Research Inc. (Global Market Report Research Publisher) announces the release of 2025 latest report "Retail Analytics- Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032". Based on current situation and impact historical analysis (2020-2024) and forecast calculations (2026-2032), this report provides a comprehensive analysis of the global Retail Analytics market, including market size, share, demand, industry development status, and forecasts for the next few years.

The global market for Retail Analytics was estimated to be worth US$ 3842 million in 2025 and is projected to reach US$ 5980 million, growing at a CAGR of 6.3% from 2026 to 2032.

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https://www.qyresearch.com/reports/5505801/retail-analytics

Retail Analytics Market Summary

Retail Analytics refers to the process of collecting, processing, and analyzing data from across the retail ecosystem to gain insights that drive business decisions, optimize operations, enhance customer experiences, and improve overall financial performance. Retail analytics focuses on providing insights related to sales, inventory, customers, and other important aspects crucial for merchants' decision-making process.

According to the new market research report "Global Retail Analytics Market Report 2026-2032", published by QYResearch, the global Retail Analytics market size is projected to reach USD 5.96 billion by 2032, at a CAGR of 6.3% during the forecast period.

Key Drivers:

A. Explosion of Data Sources & Digital Transformation

Omnichannel Retailing: Integration of online, mobile, in-store, and social commerce generates vast, complex datasets requiring analysis.

IoT & Smart Devices: Shelf sensors, smart mirrors, RFID tags, and beacons provide real-time data on inventory, customer movement, and product interaction.

Social Media & Web Analytics: Customer sentiment, trending products, and influencer impact data are now critical.

B. Intense Competitive Pressure & Margin Squeeze

Price Optimization: Need to dynamically compete with e-commerce giants (e.g., Amazon) and discount retailers.

Customer Retention: Rising customer acquisition costs make retaining existing customers via personalized experiences a top priority.

C. Rising Consumer Expectations

Demand for Personalization: Shoppers expect tailored recommendations, personalized promotions, and seamless experiences across channels.

Real-Time Engagement: Expectations for instant availability (BOPIS - Buy Online, Pickup In-Store), real-time inventory checks, and personalized offers in-store.

Key Challenges:

A. Data Silos & Integration Complexity

Legacy Systems: Many retailers have disparate, outdated systems (POS, ERP, CRM) that don't communicate, creating fragmented data views.

Omnichannel Integration: Unifying online and offline data into a single customer view remains technically challenging and costly.

B. Data Quality & Management Issues

Inconsistent Data: Inaccurate inventory counts, duplicate customer records, and unstructured data (like social media comments) degrade analytics quality.

Real-Time Processing: Acting on insights requires real-time data streams, which many infrastructure setups cannot handle efficiently.

C. Talent Shortage & Skill Gaps

Scarcity of Data Scientists: High demand for professionals who can build models, interpret results, and translate insights into business actions.

Cultural Resistance: Store managers and legacy teams may distrust or lack the skills to use data-driven recommendations, reverting to "gut feeling."

The report provides a detailed analysis of the market size, growth potential, and key trends for each segment. Through detailed analysis, industry players can identify profit opportunities, develop strategies for specific customer segments, and allocate resources effectively.

The Retail Analytics market is segmented as below:
By Company
IBM
Oracle
Microsoft
Manthan
Fujitsu
Blue Yonder
Strategy Inc
SAP
SAS Institute
Qlik
SymphonyAI (1010data)
Aptos
SPS Commerce
Salesforce (Tableau)
Endava
RetailNext
Nielsen
HCL Technologies
Sensormatic
Tredence
Analytics8
Sage (Brightpearl)
Leafio.ai

Segment by Type
Software
Service

Segment by Application
Merchandising Analysis
Pricing Analysis
Customer Analytics
Performance Analysis
Yield Analysis
Inventory Analysis
Other

Each chapter of the report provides detailed information for readers to further understand the Retail Analytics market:

Chapter 1: Introduces the report scope of the Retail Analytics report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry. (2021-2032)
Chapter 2: Detailed analysis of Retail Analytics manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc. (2021-2026)
Chapter 3: Provides the analysis of various Retail Analytics market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments. (2021-2032)
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.(2021-2032)
Chapter 5: Sales, revenue of Retail Analytics in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world..(2021-2032)
Chapter 6: Sales, revenue of Retail Analytics in country level. It provides sigmate data by Type, and by Application for each country/region.(2021-2032)
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc. (2021-2026)
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Benefits of purchasing QYResearch report:

Competitive Analysis: QYResearch provides in-depth Retail Analytics competitive analysis, including information on key company profiles, new entrants, acquisitions, mergers, large market shear, opportunities, and challenges. These analyses provide clients with a comprehensive understanding of market conditions and competitive dynamics, enabling them to develop effective market strategies and maintain their competitive edge.

Industry Analysis: QYResearch provides Retail Analytics comprehensive industry data and trend analysis, including raw material analysis, market application analysis, product type analysis, market demand analysis, market supply analysis, downstream market analysis, and supply chain analysis.

and trend analysis. These analyses help clients understand the direction of industry development and make informed business decisions.

Market Size: QYResearch provides Retail Analytics market size analysis, including capacity, production, sales, production value, price, cost, and profit analysis. This data helps clients understand market size and development potential, and is an important reference for business development.

Other relevant reports of QYResearch:
Global Retail Analytics Market Outlook, In‐Depth Analysis & Forecast to 2032
Global Retail Analytics Sales Market Report, Competitive Analysis and Regional Opportunities 2026-2032
Global Retail Analytics Market Research Report 2026
Digital Retail Analytics - Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032
Global Digital Retail Analytics Market Research Report 2026

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