Retail Analytics Market Size, Share, Opportunities, And Trends By Type (Software, Services), By Deployment (Cloud, On-premise), By End-User (Merchandising, Supply Chain, Strategy & Planning, Store Operations, Marketing), And By Geography - Forecasts From 2025 To 2030

Comprehensive analysis of demand drivers, supply-side constraints, competitive landscape, and growth opportunities across applications and regions.

Report CodeKSI061615238
PublishedOct, 2025

Description

Retail Analytics Market Size:

Retail Analytics Market, growing at a 20.65% CAGR, is expected to achieve USD 20.640 billion by 2030 from USD 8.074 billion in 2025.

Retail analytics uses cutting-edge technology like big data and data mining to analyze enormous databases and derive actionable business insights. It helps companies create efficient strategies for their operations based on the behavior of their customers. The need to increase sales performance, generate more income, and pinpoint consumer trends and preferences will drive market expansion.

Artificial intelligence (AI)-enhanced retail systems provide insightful data to boost sales and improve customer experience. E-commerce companies can use big data analytics to comprehend and take action on critical data insights by understanding their customers' purchasing habits. Tech companies are releasing sophisticated retail analysis tools to meet the increased demand for digital solutions.

Retail Analysis Market Drivers:

  • Increasing Demand for In-Store Operations

Analytics based on in-store operations have become essential to any brick-and-mortar retailer's operational strategy. Further understanding of devoted customers results in the creation of strategies to raise client stickiness, with advantages ranging from providing the right product to the right customer.

Furthermore, retailers achieve digital transformation in stores by offering their customers personalized experiences using various technologies, such as assessing client preferences, recognizing in-store locations, targeted advertisements, and purchasing behaviours.

Additionally, this has also increased the demand for consumer electronics technology. For instance, as per the 2022 report by the Consumer Technology Association, the retail revenue from consumer electronics technology sales increased from US$461 billion in 2021 to US$505 billion in 2022 in the United States.

  • Advantage in Boosting Profits

According to NewGenApps, businesses that take advantage of big data analytics to the fullest extent could see a 60% increase in operating earnings. Additionally, the omnichannel retailer may maintain track of consumer activity in-store and offer customers timely discounts to encourage more in-store purchases or later online sales. This keeps the transaction within the retailer's control. Through micro-targeting, Quantzig, a data analytics, and advising company, helped a German fashion retailer boost in-store sales and profitability by 12%.

Retail Analysis Market Geographical Outlook:

  • The North American market is expected to grow considerably

North America is expected to hold a significant share of the retail analytics market during the forecast period. This regional growth is due to factors such as the continuous digital transformation in the retail sector, the increasing importance of customer data analysis, and the growing adoption of artificial intelligence and machine learning technologies to improve retail operations and customer experiences.

The rise of omnichannel retailing, where customers expect a seamless experience across various channels (e.g., online, mobile, in-store), has driven the demand for retail analytics. For instance, In March 2023, KPMG launched Dash, an AI-powered platform providing predictive analytics and insights to retailers, using vast commercial data and AI algorithms to enhance decision-making, customer analysis, forecasting, and competition evaluation.

Retail Analysis Key Market Developments:

  • Walmart used the RetailAl solution in May 2021 to reduce operating expenses and improve the self-service shopping experience.

Amazon debuted its new Store Analytics service in June 2022. The massive e-commerce company strives to make money from its physical locations by informing advertisers about what customers purchase.

Kepler Analytics unveiled a Prescriptive Analytics System in January 2023. This system uses proprietary in-store sensors to collect data and identify possible sales possibilities at the zone-by-zone level, providing real-time recommendations to merchants.

The Retail Analysis Market is segmented and analyzed as follows:

  • RETAIL ANALYTICS MARKET BY TYPE
    • Diagnostics Analytics
    • Descriptive Analytics
    • Predictive Analytics
    • Prescriptive Analytics
  • RETAIL ANALYTICS MARKET BY COMPONENT
    • Hardware
    • Software
    • Services
  • RETAIL ANALYTICS MARKET BY DEPLOYMENT
    • Cloud
    • On-Premise
  • RETAIL ANALYTICS MARKET BY APPLICATION
    • Customer Analytics
    • Inventory Management
    • Merchandising
    • Supply Chain
    • Others
  • RETAIL ANALYTICS MARKET BY GEOGRAPHY
    • North America
      • USA
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • Germany
      • France
      • United Kingdom
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • China
      • India
      • Japan
      • South Korea
      • Indonesia
      • Thailand
      • Others

Frequently Asked Questions (FAQs)

The retail analytics market is expected to grow at a CAGR of 20.65% during the forecast period.

The retail analytics market is expected to reach a total market size of US$20.640 billion by 2030.

Retail Analytics Market is valued at US$8.074 billion in 2025.

The need to increase sales performance, generate more income, and pinpoint consumer trends and preferences will drive the retail analytics market growth.

North America accounted for a significant share of the retail analytics market.

Table Of Contents

1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
    2.1. Market Overview
    2.2. Market Definition
    2.3. Scope of the Study
    2.4. Market Segmentation
3. BUSINESS LANDSCAPE
    3.1. Market Drivers
    3.2. Market Restraints
    3.3. Market Opportunities
    3.4. Porter’s Five Forces Analysis
    3.5. Industry Value Chain Analysis
    3.6. Policies and Regulations
    3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. RETAIL ANALYTICS MARKET BY TYPE
    5.1. Introduction
    5.2. Diagnostics Analytics
    5.3. Descriptive Analytics
    5.4. Predictive Analytics
    5.5. Prescriptive Analytics
6. RETAIL ANALYTICS MARKET BY COMPONENT
    6.1. Introduction
    6.2. Hardware
    6.3. Software
    6.4. Services
7. RETAIL ANALYTICS MARKET BY DEPLOYMENT
    7.1. Introduction
    7.2. Cloud
    7.3. On-Premise
8. RETAIL ANALYTICS MARKET BY APPLICATION
    8.1. Introduction
    8.2. Customer Analytics
    8.3. Inventory Management
    8.4. Merchandising
    8.5. Supply Chain
    8.6. Others
9. RETAIL ANALYTICS MARKET BY GEOGRAPHY
    9.1. Introduction
    9.2. North America
        9.2.1. USA
        9.2.2. Canada
        9.2.3. Mexico
    9.3. South America
        9.3.1. Brazil
        9.3.2. Argentina
        9.3.3. Others
    9.4. Europe
        9.4.1. Germany
        9.4.2. France
        9.4.3. United Kingdom
        9.4.4. Spain
        9.4.5. Others
    9.5. Middle East and Africa
        9.5.1. Saudi Arabia
        9.5.2. UAE
        9.5.3. Israel
        9.5.4. Others
    9.6. Asia Pacific
        9.6.1. China
        9.6.2. India
        9.6.3. Japan
        9.6.4. South Korea
        9.6.5. Indonesia
        9.6.6. Thailand
        9.6.7. Others
10. COMPETITIVE ENVIRONMENT AND ANALYSIS
    10.1. Major Players and Strategy Analysis
    10.2. Market Share Analysis
    10.3. Mergers, Acquisitions, Agreements, and Collaborations
    10.4. Competitive Dashboard
11. COMPANY PROFILES
    11.1. SAP SE
    11.2. Salesforce, Inc.
    11.3. Oracle Corporation
    11.4. Microsoft Corporation
    11.5. HCL Technologies Limited
    11.6. IBM
    11.7. Qlik
    11.8. Cloud Software Group, Inc.
    11.9. Sisense Inc.
    11.10. Wipro
    11.11. Zoho Corporation
    11.12. Alteryx, Inc.
    11.13. Amazon Web Services Inc.
    11.14. Intel Corporation
    11.15. SAS Institute Inc.
12. APPENDIX
    12.1. Currency
    12.2. Assumptions
    12.3. Base and Forecast Years Timeline
    12.4. Key benefits for the stakeholders
    12.5. Research Methodology
    12.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES

Companies Profiled

SAP SE

Salesforce, Inc

Oracle Corporation

Microsoft Corporation

HCL Technologies Limited

IBM

Qlik

Cloud Software Group, Inc

Sisense Inc

Wipro

Zoho Corporation

Alteryx, Inc

Amazon Web Services Inc

Intel Corporation

SAS Institute Inc

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