AI in Retail Market to Grow at 34% CAGR by 2031, Driven by Real-Time Analytics, Omnichannel Personalization, and Autonomous Checkout Solutions

AI in Retail Market is valued at at a promising CAGR of 34% during the forecast period (2024-2031).

According to DataM Intelligence has published a new research report on "AI in Retail Market Size 2025". The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.

AI in retail uses artificial intelligence technologies to enhance customer experience, optimize operations, and personalize shopping journeys. Applications include demand forecasting, inventory management, recommendation engines, and autonomous checkout. Retailers adopt AI to improve efficiency and competitive differentiation. Data analytics and computer vision enable real-time insights. Growth is powered by digital commerce and omnichannel strategies.

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➣ Recent Developments:

✅ In July 2025, Walmart expanded its AI-driven inventory intelligence platform across 1,500 stores. The system automates stock visibility and reduces out-of-stock instances by 30%.

✅ In June 2025, Shopify integrated a generative AI assistant to help merchants automate product descriptions, customer support, and personalized marketing campaigns.

✅ In May 2025, Carrefour deployed computer-vision-based checkout solutions in select European stores, enabling frictionless payments and faster customer throughput.

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➣ Top Industry Players:

Google LLC, IBM Corporation, Intel, Lexalytics, Microsoft Corporation, Nvidia, Oracle Corporation, SAP SE, Visenze.

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➣ Market Segments:

By Anchor Deployment Type: Online, Offline.

By Technology: Interactive AI, Functional AI, Analytical AI, Text-based AI, Visual AI.

By Application: Supply Chain Logistics and Production, Sales and Marketing, Delivery Services, Payment Services, Customer Relationship Management, Security and Surveillance, Planning and Inventory.

By End User: Supermarket, Hypermarkets, Other Sales Channels.

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