AI in Retail Market Unlocks Next-Gen Capabilities in Personalization, Supply Chain, and Checkout Automation | Google LLC, IBM Corporation, Intel.

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

The AI in Retail market involves artificial intelligence technologies that optimize customer experiences, inventory management, demand forecasting, and personalized marketing. Retailers use AI for chatbots, recommendation engines, visual search, and predictive analytics. Rising e-commerce penetration and competition drive adoption. Advances in machine learning, computer vision, and natural language processing enhance capabilities. Increased focus on data-driven decision-making supports market growth globally.

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☛ AI in Retail Market Recent Developments 2025:

United States: Recent Industry Developments

✅ In July 2025, Walmart announced a suite of AI-powered "super agents" for customers, employees, suppliers, and developers, aimed at consolidating tools and streamlining shopping & operations toward a goal of 50% of its sales coming from online channels over the next five years.

✅ In September 2025, ShopRite in New Jersey began rolling out AI-powered "Caper Carts" that allow customers to scan/weigh items in real time, track spending on the fly, and pay directly from the cart - eliminating traditional checkout.

✅ In August 2025, Saks Global introduced AI-driven homepage personalization on Saks.com (following acquisition of Neiman Marcus) that customizes content based on browsing behaviour, reporting a lift in conversion and revenue per visitor.

Japan: Recent Industry Developments

✅ In July 2025, Rakuten launched "Rakuten AI", an agentic AI tool integrated into its Rakuten Link app and as a beta web app, with plans to roll it out on Rakuten Ichiba in Autumn 2025 to enhance personalised product recommendations within its ecosystem.

✅ In August 2025, Glance AI, in partnership with Sharp, launched its AI commerce platform in Japan via the new AQUOS R10 SH-M31 smartphone, initially in fashion commerce with plans to expand categories; it aims to be on 10 million devices by December 2025.

✅ In May 2025, Japan's Diet passed the AI Promotion Act, establishing a Cabinet-level AI Strategy Headquarters to set a national basic AI plan, shared R&D infrastructure, and guidance for AI usage (including retail use cases like personalization, inventory forecasting, automated checkout) under an innovation-first regulatory regime.

☛ AI in Retail Market Trends:

The AI in Retail Market is growing rapidly as retailers adopt artificial intelligence to enhance customer experience, optimize operations, and drive sales. AI-powered solutions such as recommendation engines, chatbots, virtual assistants, and computer vision are transforming how retailers interact with consumers, offering personalized shopping experiences both online and in physical stores. The integration of AI with big data analytics and IoT devices enables real-time insights into consumer behavior, inventory management, and demand forecasting.

Technological advancements in natural language processing, machine learning, and predictive analytics are improving decision-making and automating repetitive retail processes. The rising adoption of cashier-less stores, smart shelves, and AI-driven supply chain optimization is further accelerating market expansion. Additionally, the push for omnichannel retailing, coupled with increasing consumer expectations for convenience and personalization, continues to fuel demand for AI solutions across the retail sector.

☛ AI in Retail Market Competitve Landscape:

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

Research Methodology

We follow a hybrid research approach, combining qualitative insights with rigorous quantitative analysis to deliver reliable and comprehensive market intelligence. Our process begins with extensive secondary research, drawing on trusted industry reports, proprietary databases, and credible market sources. This is then reinforced through targeted primary research, including structured surveys and in-depth interviews with industry leaders, subject matter experts, and key market participants.

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☛ Segment Covered in the AI in Retail Market:

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.

☛ This Report Includes:

✔ Comprehensive go-to-market strategies with actionable insights.

✔ Unbiased evaluation of overall market performance.

✔ Deep-dive analysis into development trends, competitive landscape, supply-demand dynamics, YoY growth, benchmarking, vendor mapping, market access, and overall progress.

✔ Tailored regional and country-level reports with detailed localized analysis available on request.

✔ Identification of niche segments and high-growth regions presenting strong opportunities.

✔ Accurate regional forecasts using both top-down and bottom-up approaches.

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☛ Regional Analysis for AI in Retail Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

☛ Frequently asked questions:

➠ What is the global sales, production, consumption, import, and export value of the AI in Retail Market?
➠ Who are the key global manufacturers, and what is their operational performance?
➠ What are the major opportunities and threats in the global AI in Retail Market?
➠ Which product types or end-users show the most growth potential and market share?
➠ What challenges and constraints are impacting the AI in Retail Market?
➠ What sales, marketing, and distribution channels are used globally?

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DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

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