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AI in Retail Market

AI in Retail Market Size, Share & Trends Analysis by Component (Solution and Services), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Robotics, and Deep Learning) By Application (Customer Relationship Management, Inventory Management, Supply Chain & Logistics, Product Optimization, In-Store Navigation, Payment and Pricing Analytics, Virtual Assistant, and Others) Forecast Period (2026-2035)

Published: Feb 2026 | Report Code: OMR2028973 | Category : Artificial Intelligence | Delivery Format: /

Industry Overview

Global AI in retail market was valued at $12.75 billion in 2025 and is projected to reach $207.6 billion by 2035, growing at a CAGR of 32.3% from 2026 to 2035. AI in retail uses machine learning and automation to improve customer experience, personalize shopping, and optimize operations. It supports retailers in boosting sales and running stores more efficiently. The rising demand for personalized shopping experiences is driven by consumers expecting retailers to understand their preferences, shopping behavior, and purchase history to offer relevant product suggestions and targeted promotions. AI supports retailers in analyzing large volumes of customer data in real time to deliver tailored recommendations, dynamic pricing, and individualized marketing messages. For instance, in September 2024, Marks & Spencer is using AI to advise shoppers on their outfit choices based on their body shape and style preferences, as part of efforts to increase online sales. The 130-year-old retailer is using the technology to personalize consumers’ online experience and suggest items to buy.

global ai in retail market dynamics

Market Dynamics

Growing Adoption of AI-Powered Recommendation Engines  

Growing adoption of AI-powered recommendation engines is driven by retailers using machine learning to analyze customer behavior, preferences, and purchase history to deliver highly relevant product suggestions. These engines support increasing average order value, boost conversions, and keep customers engaged across websites, apps, and in-store digital displays. As competition intensifies in e-commerce and omnichannel retail, personalized recommendations have become essential for improving customer experience and driving revenue growth. For instance,

  • Amazon's AI-driven recommendation system is estimated to generate 35% of the company's total sales. By analyzing customer browsing history, past purchases, and similarities among products, Amazon provides highly personalized product suggestions that significantly drive sales and customer engagement.
  • Netflix uses AI algorithms to personalize content recommendations for each user. This personalization strategy has been so successful that it saves the company an estimated $1 billion per year in value from customer retention.
  • Sephora's AI-powered app allows customers to virtually try on makeup products. This personalized experience has led to increased engagement, with users trying on 50 looks per session on average, ultimately driving both online and in-store sales.

Expansion of Omnichannel and E-Commerce Platforms

Expansion of omnichannel and e-commerce platforms is accelerating AI adoption as retailers aim to deliver a seamless shopping experience across websites, mobile apps, social commerce, and physical stores. AI supports unifying customer data from all these touchpoints, enabling consistent recommendations, personalized promotions, and real-time inventory visibility wherever the customer shops. As more consumers move among online and offline channels during the same purchase journey, retailers rely on AI to coordinate interactions, reduce friction, and increase conversions across the entire retail ecosystem. For instance, in 2023, Starbucks uses Deep Brew, its predictive AI platform, to hyper-personalize customer experiences and improve store operations through advanced data and automation. The company has used AI for years, and new Deep Brew upgrades now let them deploy AI and machine-learning features in weeks instead of months, accelerating value creation.

Market Segmentation

  • Based on the component, the market is segmented into solutions and services.
  • Based on the technology, the market is segmented into machine learning, natural language processing, computer vision, robotics, and deep learning.
  • Based on the application, the market is segmented into customer relationship management, inventory management, supply chain & logistics, product optimization, in-store navigation, payment and pricing analytics, virtual assistant, and others.

Customer Relationship Management Segment to Lead the Market with the Largest Share

 Among all applications, the customer relationship management is expected to lead the market with the largest share during the forecast period. The retailers rely on AI to analyze customer behavior and deliver personalized recommendations, targeted promotions, and real-time engagement. This boosts conversions, loyalty, and repeat purchases, making CRM the most impactful and widely adopted AI application in retail. For instance, in January 2024, at NRF 2024, Salesforce (NYSE: CRM), the #1 AI CRM, announced new data and AI-powered tools to transform every shopping experience. With generative AI built into Commerce Cloud and Marketing Cloud, retail merchandisers and marketers can tap into generative tools with a real-time understanding of customer behavior and preferences to optimize every customer interaction — increasing loyalty, driving revenue, and boosting employee productivity.

Global AI in Retail Market Share by Application, 2025 (%)

global ai in retail market share by application, 2025

Machine Learning: A Key Segment in Market Growth

Machine learning is expected to be a key segment in the market growth as it enables retailers to analyze large data sets, predict customer needs, optimize pricing, and automate decisions. Its wide use across personalization, forecasting, and store operations makes it the most essential and widely adopted AI technology in retail. For instance, Zara uses machine learning models to analyze real-time sales, social media trends, fashion runway reports, and economic indicators to predict demand and optimize its inventory. With this AI-driven approach, Zara reduced inventory holding costs by ~20%, improved demand-forecast accuracy by ~50%, and cut lead times.

Regional Outlook

The global AI in retail market is further divided by geography, including North America (the US and Canada), Asia-Pacific (India, China, Japan, South Korea, Australia and New Zealand, ASEAN Countries, and the Rest of Asia-Pacific), Europe (the UK, Germany, France, Italy, Spain, Russia, and the Rest of Europe), and the Rest of the World (the Middle East & Africa, and Latin America).

North America Region Dominates the Market with a Major Share

North America dominates the AI in retail market due to its mature retail ecosystem, strong technology infrastructure, and early adoption of advanced AI tools across both e-commerce and brick-and-mortar. Major US and Canadian retailers and tech companies are investing heavily in AI for personalization, supply chain automation, and predictive analytics, making the region a hotbed for innovation and large-scale AI deployment. For instance, in November 2025, Target Corp. announced that consumers will be able to discover and shop Target right inside ChatGPT, part of an effort to reimagine AI-powered shopping as a curated, conversational experience, and just in time for holiday shopping. 

Asia-Pacific Region to Provide Considerable Growth Rate

The Asia-Pacific region is rapidly emerging as a leader in AI-driven retail due to its fast-growing e-commerce markets, high smartphone penetration, and a strong appetite for digital innovation. Key players such as Alibaba, JD.com, and Rakuten are heavily investing in AI for personalization, demand forecasting, and customer engagement. Additionally, governments in APAC are supporting digital transformation, making the region a fertile ground for AI adoption in retail. For instance, in June 2024, Hanshow showcased its Smart Cart Solution at NRF APAC 2024 in Singapore, co-developed with Microsoft on Azure OpenAI. The GenAI-powered cart offers personalized shopping recommendations, syncs online and in-store profiles, enables skip-the-line checkout, and boosts retail media revenue. Hanshow’s Lumina digital displays also integrate GenAI to create marketing visuals and product copy, enhancing the in-store shopping and marketing experience.

Market Players Outlook

The major companies operating in global AI in retail market include Amazon Web Services, Inc., IBM Corp., Microsoft Corp., NVIDIA Corp., and Salesforce, Inc. among others. Market players are leveraging partnerships, collaborations, mergers, and acquisition strategies for business expansion and innovative product development to maintain their market positioning.

Recent Development

  • In June 2025, Walmart reinforced its commitment to provide its workforce with advanced technology and tools, announced the plan to equip store associates with a powerful new suite of AI tools designed to elevate their roles and experience. Store associates, who once navigated a complex, tool-based environment, are now experiencing streamlined, more intuitive workflows. An AI tool that intelligently understands, prioritizes, and recommends tasks.

The Report Covers

  • Market value data analysis for 2025 and forecast to 2035.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global AI in retail Based on the availability of data, information related to new products and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying ‘who-stands-where’ in the market.
  1. Report Summary
  • Current Industry Analysis and Growth Potential Outlook
  • Global AI in Retail Market Sales Analysis – Component | Technology | Application ($ Million)
  • AI in Retail Market Sales Performance of Top Countries
    • Research Methodology
  • Primary Research Approach
  • Secondary Research Approach
    • Market Snapshot
  1. Market Overview and Insights
    • Scope of the Study
    • Analyst Insight & Current Market Trends
      • Key AI in Retail Industry Trends
      • Market Recommendations
  1. Market Determinants
    • Market Drivers
      • Drivers For Global AI in Retail Market: Impact Analysis
    • Market Pain Points and Challenges
      • Restraints For Global AI in Retail Market: Impact Analysis
    • Market Opportunities
      • Opportunities For Global AI in Retail Market: Impact Analysis
  1. Competitive Landscape
    • Competitive Dashboard – AI in Retail Market Revenue and Share by Manufacturers
  • AI in Retail Product Comparison Analysis
  • Top Market Player Ranking Matrix
    • Key Company Analysis
      • Amazon Web Services, Inc.
        • Overview
        • Product Portfolio
        • Financial Analysis
        • SWOT Analysis
        • Business Strategy
      • IBM Corp.
        • Overview
        • Product Portfolio
        • Financial Analysis
        • SWOT Analysis
        • Business Strategy
      • Microsoft Corp.
        • Overview
        • Product Portfolio
        • Financial Analysis
        • SWOT Analysis
        • Business Strategy
      • NVIDIA Corp.
        • Overview
        • Product Portfolio
        • Financial Analysis
        • SWOT Analysis
        • Business Strategy
      • Salesforce, Inc.
        • Overview
        • Product Portfolio
        • Financial Analysis
        • SWOT Analysis
        • Business Strategy
      • Top Winning Strategies by Market Players
        • Merger and Acquisition
        • Product Launch
        • Partnership And Collaboration
  1. Global AI in Retail Market Sales Analysis by Component ($ Million)
    • Solution
    • Services
  1. Global AI in Retail Market Sales Analysis by Technology ($ Million)
    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Robotics
    • Deep Learning
  1. Global AI in Retail Market Sales Analysis by Application ($ Million)
    • Customer Relationship Management
    • Inventory Management
    • Supply Chain & Logistics
    • Product Optimization
    • In-Store Navigation
    • Payment and Pricing Analytics
    • Virtual Assistant
    • Others
  1. Regional Analysis
    • North American AI in Retail Market Sales Analysis – Component | Technology | Application | Country ($ Million)
  • Macroeconomic Factors for North America
    • United States
    • Canada
  • European AI in Retail Market Sales Analysis – Component | Technology | Application | Country ($ Million)
  • Macroeconomic Factors for Europe
    • UK
    • Germany
    • Italy
    • Spain
    • France
    • Russia
    • Rest of Europe
  • Asia-Pacific AI in Retail Market Sales Analysis – Component | Technology | Application | Country ($ Million)
  • Macroeconomic Factors for Asia-Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia & New Zealand
    • ASEAN Countries (Thailand, Indonesia, Vietnam, Singapore, And Others)
    • Rest of Asia-Pacific
  • Rest of the World AI in Retail Market Sales Analysis – Component | Technology | Application | Country ($ Million)
  • Macroeconomic Factors for the Rest of the World
    • Latin America
    • Middle East and Africa
  1. Company Profiles

1. Global AI in Retail Market Research And Analysis By Component, 2025-2035 ($ Million)

2. Global AI Solution in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

3. Global AI Services in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

4. Global AI in Retail Market Research And Analysis By Technology, 2025-2035 ($ Million)

5. Global Machine Learning in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

6. Global Natural Language Processing in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

7. Global Computer Vision in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

8. Global Robotics in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

9. Global Deep Learning in Retail Market Research And Analysis By Region, 2025-2035 ($ Million)

10. Global AI in Retail Market Research And Analysis By Application, 2025-2035 ($ Million)

11. Global AI in Retail For Customer Relationship Management Market Research And Analysis By Region, 2025-2035 ($ Million)

12. Global AI in Retail For Inventory Management Market Research And Analysis By Region, 2025-2035 ($ Million)

13. Global AI in Retail For Supply Chain & Logistics Market Research And Analysis By Region, 2025-2035 ($ Million)

14. Global AI in Retail For Product Optimization Market Research And Analysis By Region, 2025-2035 ($ Million)

15. Global AI in Retail For In-Store Navigation Market Research And Analysis By Region, 2025-2035 ($ Million)

16. Global AI in Retail For Payment and Pricing Analytics Market Research And Analysis By Region, 2025-2035 ($ Million)

17. Global AI in Retail For Virtual Assistant Market Research And Analysis By Region, 2025-2035 ($ Million)

18. Global AI in Retail For Others Market Research And Analysis By Region, 2025-2035 ($ Million)

19. Global AI in Retail Market Research And Analysis By Geography, 2025-2035 ($ Million)

20. North American AI in Retail Market Research And Analysis By Country, 2025-2035 ($ Million)

21. North American AI in Retail Market Research And Analysis By Component, 2025-2035 ($ Million)

22. North American AI in Retail Market Research And Analysis By Technology, 2025-2035 ($ Million)

23. North American AI in Retail Market Research And Analysis By Application, 2025-2035 ($ Million)

24. European AI in Retail Market Research And Analysis By Country, 2025-2035 ($ Million)

25. European AI in Retail Market Research And Analysis By Component, 2025-2035 ($ Million)

26. European AI in Retail Market Research And Analysis By Technology, 2025-2035 ($ Million)

27. European AI in Retail Market Research And Analysis By Application, 2025-2035 ($ Million)

28. Asia-Pacific AI in Retail Market Research And Analysis By Country, 2025-2035 ($ Million)

29. Asia-Pacific AI in Retail Market Research And Analysis By Component, 2025-2035 ($ Million)

30. Asia-Pacific AI in Retail Market Research And Analysis By Technology, 2025-2035 ($ Million)

31. Asia-Pacific AI in Retail Market Research And Analysis By Application, 2025-2035 ($ Million)

32. Rest Of The World AI in Retail Market Research And Analysis By Country, 2025-2035 ($ Million)

33. Rest Of The World AI in Retail Market Research And Analysis By Component, 2025-2035 ($ Million)

34. Rest Of The World AI in Retail Market Research And Analysis By Technology, 2025-2035 ($ Million)

35. Rest Of The World AI in Retail Market Research And Analysis By Application, 2025-2035 ($ Million)

1. Global AI in Retail Market Share By Component, 2025 Vs 2035 (%)

2. Global AI Solution in Retail Market Share By Region, 2025 Vs 2035 (%)

3. Global AI Services in Retail Market Share By Region, 2025 Vs 2035 (%)

4. Global AI in Retail Market Share By Technology, 2025 Vs 2035 (%)

5. Global Machine Learning in Retail Market Share By Region, 2025 Vs 2035 (%)

6. Global Natural Language Processing in Retail Market Share By Region, 2025 Vs 2035 (%)

7. Global Computer Vision in Retail Market Share By Region, 2025 Vs 2035 (%)

8. Global Robotics in Retail Market Share By Region, 2025 Vs 2035 (%)

9. Global Deep Learning in Retail Market Share By Region, 2025 Vs 2035 (%)

10. Global AI in Retail Market Share By Application, 2025 Vs 2035 (%)

11. Global AI in Retail For Customer Relationship Management Market Share By Region, 2025 Vs 2035 (%)

12. Global AI in Retail For Inventory Management Market Share By Region, 2025 Vs 2035 (%)

13. Global AI in Retail For Supply Chain & Logistics Market Share By Region, 2025 Vs 2035 (%)

14. Global AI in Retail For Product Optimization Market Share By Region, 2025 Vs 2035 (%)

15. Global AI in Retail For In-Store Navigation Market Share By Region, 2025 Vs 2035 (%)

16. Global AI in Retail For Payment and Pricing Analytics Market Share By Region, 2025 Vs 2035 (%)

17. Global AI in Retail For Virtual Assistant Market Share By Region, 2025 Vs 2035 (%)

18. Global AI in Retail For Others Market Share By Region, 2025 Vs 2035 (%)

19. Global AI in Retail Market Share By Region, 2025 Vs 2035 (%)

20. US AI in Retail Market Size, 2025-2035 ($ Million)

21. Canada AI in Retail Market Size, 2025-2035 ($ Million)

22. UK AI in Retail Market Size, 2025-2035 ($ Million)

23. France AI in Retail Market Size, 2025-2035 ($ Million)

24. Germany AI in Retail Market Size, 2025-2035 ($ Million)

25. Italy AI in Retail Market Size, 2025-2035 ($ Million)

26. Spain AI in Retail Market Size, 2025-2035 ($ Million)

27. Russia AI in Retail Market Size, 2025-2035 ($ Million)

28. Rest Of Europe AI in Retail Market Size, 2025-2035 ($ Million)

29. India AI in Retail Market Size, 2025-2035 ($ Million)

30. China AI in Retail Market Size, 2025-2035 ($ Million)

31. Japan AI in Retail Market Size, 2025-2035 ($ Million)

32. South Korea AI in Retail Market Size, 2025-2035 ($ Million)

33. ASEAN AI in Retail Market Size, 2025-2035 ($ Million)

34. Australia and New Zealand AI in Retail Market Size, 2025-2035 ($ Million)

35. Rest Of Asia-Pacific AI in Retail Market Size, 2025-2035 ($ Million)

36. Latin America AI in Retail Market Size, 2025-2035 ($ Million)

37. Middle East And Africa AI in Retail Market Size, 2025-2035 ($ Million)