Artificial Intelligence in Retail Market to hit US$ 55.4 Billion by 2030 | Leading Companies - Amazon.com, Inc., IBM Corporation, Intel Corporation

"The Global Artificial Intelligence In Retail Market reached US$ 5.5 billion in 2022 and is expected to reach US$ 55.4 billion by 2030, growing with a CAGR of 34.2% during the forecast period 2024-2031." As per DataM intelligence research report

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United States: Recent Industry Developments

✅ In September 2025, Walmart launched AI-driven demand forecasting and inventory management systems across its US stores. The initiative emphasizes reducing stockouts and improving operational efficiency. Early adoption shows better inventory accuracy and enhanced customer satisfaction.

✅ In August 2025, Amazon expanded its AI-powered cashierless store technology and personalized recommendation engines. The platform focuses on seamless shopping experiences and predictive analytics. Initial deployments highlight increased sales and improved shopper engagement.

✅ In July 2025, Target integrated AI-based pricing optimization and customer behavior analytics into its retail operations. The initiative targets competitive pricing and personalized marketing. Early trials report higher revenue per customer and optimized inventory turnover.

✅ In June 2025, Kroger launched AI-enabled supply chain solutions for predictive restocking and demand management. The program emphasizes efficiency and reduced waste. Pilot programs demonstrate improved shelf availability and operational cost savings.

Japan: Recent Industry Developments

✅ In September 2025, Seven & I Holdings introduced AI-driven store analytics and automated checkout systems across convenience stores in Japan. The initiative emphasizes operational efficiency and improved customer experience. Early adoption shows higher transaction speed and sales growth.

✅ In August 2025, Aeon Group expanded AI-based demand forecasting and personalized marketing tools across its retail network. The platform focuses on stock optimization and targeted promotions. Initial deployments highlight reduced waste and increased customer engagement.

✅ In July 2025, Rakuten implemented AI-powered recommendation engines and inventory optimization in e-commerce and retail stores. The initiative targets improved customer personalization and operational efficiency. Early trials report higher conversion rates and better stock management.

✅ In June 2025, Lawson introduced AI-enabled logistics and smart shelving solutions to optimize product placement and reduce waste. The program emphasizes operational efficiency and enhanced shopper experience. Pilot programs demonstrate faster restocking and improved sales.

Artificial Intelligence In Retail Market: Drivers

The artificial intelligence (AI) in retail market is witnessing rapid growth due to increasing demand for personalized shopping experiences, operational efficiency, and data-driven decision-making. AI technologies, including machine learning, computer vision, natural language processing, and predictive analytics, are enabling retailers to optimize inventory management, enhance customer engagement, and improve supply chain efficiency. Rising adoption of e-commerce, omnichannel retailing, and mobile shopping is driving the integration of AI-powered recommendation engines, chatbots, and demand forecasting tools. Technological advancements in AI algorithms, cloud computing, and big data analytics are enhancing scalability, accuracy, and real-time insights. Growing consumer expectations for seamless, personalized, and frictionless shopping experiences are further fueling market expansion.

Integration of AI with point-of-sale systems, digital marketing platforms, and customer analytics tools is enabling targeted promotions, pricing optimization, and enhanced customer loyalty. Collaborations between technology providers, retailers, and AI startups are accelerating innovation in smart checkout systems, visual search, and automated store operations. Expansion of retail sectors in emerging economies, along with increasing investment in AI-driven solutions, is creating new market opportunities. Regulatory frameworks, data privacy standards, and cybersecurity measures are evolving to support safe and ethical AI adoption. Overall, technological innovation, consumer personalization demand, and operational efficiency initiatives are driving sustained growth in the AI in retail market.

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Artificial Intelligence In Retail Market: Major Players

Amazon.com, Inc., IBM Corporation, Intel Corporation, Google LLC,

Segment Covered in the Artificial Intelligence In Retail Market:

➥ By Offerings: Services, Solutions

➥ By Function: Operation-Focused, Customer-Facing

➥ By Deployment Type: Cloud, On-Premise

➥ By Application: Predictive Analytics

➥ By Technology: Computer Vision, Machine Learning, Natural Language Processing

Research Process:

Both primary and secondary data sources have been used in the Artificial Intelligence In Retail Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

Most Frequently Asked Questions in the Artificial Intelligence In Retail Market Research Industry:

➠ Who leads the Artificial Intelligence In Retail industry and what's their competitive positioning regarding capacity, performance, and profitability?
➠ What growth opportunities and market challenges do Artificial Intelligence In Retail market vendors face?
➠ Which segments show the highest growth potential and market share distribution?
➠ What factors are driving or limiting Artificial Intelligence In Retail market growth?
➠ What are the dominant sales and distribution strategies in the Artificial Intelligence In Retail industry?

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Regional Analysis:

⇥ 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)

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✅ Competitive Landscape
✅ Technology Roadmap Analysis
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Consumer Behavior & Demand Analysis
✅ Import-Export Data Monitoring
✅ Live Market & Pricing Trends

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