Featuring market attractiveness scoring, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, deeper supply chain intelligence, emerging startup tracking, and granular product-level insights, The Business Research Company’s 2026 market reports are built to deliver research that is both more actionable and more strategically valuable.
#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Value Growth And Long-Term Outlook#_x000D_
The artificial intelligence (AI) in fast-moving consumer goods (fmcg) and retail market size has experienced significant growth in recent years. This market is projected to expand from $190.34 billion in 2025 to $237.92 billion in 2026, achieving a compound annual growth rate (CAGR) of 25.0%. The historical growth of this market can be attributed to the rise of organized retail chains, the early adoption of data analytics in retail, the expansion of e-commerce platforms, the increasing demand for inventory accuracy, and the growing availability of consumer data._x000D_
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The artificial intelligence (AI) in fast-moving consumer goods (fmcg) and retail market size is anticipated to experience substantial growth over the upcoming years. This market is set to expand to $575.35 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.7%. This expansion during the forecast period is fueled by the increasing adoption of predictive analytics, the integration of AI with omnichannel retail, the consumer desire for personalized shopping experiences, the automation of supply chain operations, and the development of smart retail infrastructure. Prominent trends for the forecast period include AI-driven demand forecasting, personalized retail marketing analytics, automated inventory optimization, AI-enabled customer engagement tools, and dynamic pricing and promotion optimization._x000D_
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#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Growth Factors Behind Sustained Expansion#_x000D_
The increasing consumer preference for online shopping is projected to accelerate the adoption of artificial intelligence (AI) within the fast-moving consumer goods (FMCG) and retail sectors in the future. Online shopping refers to the acquisition of goods or services via the internet using e-commerce platforms or mobile apps, enabling customers to explore, contrast, and purchase items conveniently from their residences. The rising popularity of online shopping stems from factors such as ease of use, a wider array of products, competitive costs, and the widespread use of mobile technology and digital payment methods. Within FMCG and retail, AI applications for online shopping encompass custom recommendations, optimized pricing strategies, improved search capabilities, chatbot-based customer assistance, inventory control, fraud detection, customer behavior analysis, personalized marketing efforts, visual search features, and trend prediction, all aimed at elevating the entire shopping journey. For example, data from May 2024, provided by the Census Bureau of the Department of Commerce, a US-based government entity tasked with gathering national demographic and economic information, indicated a 2.1% rise in retail e-commerce sales for the first quarter of 2024 compared to the fourth quarter of 2023. Consequently, the escalating demand for online shopping is a key factor propelling the expansion of artificial intelligence (AI) across fast-moving consumer goods (FMCG) and retail sectors._x000D_
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#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Segmentation: How Does The Market Break Down By Category?#_x000D_
The artificial intelligence (AI) in fast-moving consumer goods (fmcg) and retail market covered in this report is segmented – _x000D_
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1) By Component: Hardware, Software, Services _x000D_
2) By Technology: Machine Learning, Natural Language Processing (NLP), Computer Vision_x000D_
3) By Application: Customer Service And Support, Sales And Marketing, Inventory Management, Supply Chain Optimization, Other Applications_x000D_
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Subsegments:_x000D_
1) By Hardware: AI-Powered Point of Sale (POS) Systems, Smart Shelves And Inventory Management Systems, Robotics For Automated Stock Management, Facial Recognition Cameras For Customer Insights, IoT Devices For Supply Chain Monitoring, Digital Signage And Interactive Kiosks _x000D_
2) By Software: AI-Driven Customer Relationship Management (CRM) Software, Predictive Analytics For Demand Forecasting, Inventory Optimization Software, AI-Powered Recommendation Engines, Natural Language Processing (NLP) For Customer Feedback Analysis, Price Optimization And Dynamic Pricing Tools, Supply Chain Management Software With AI Capabilities _x000D_
3) By Services: AI Integration And Implementation Services, Consulting Services For Retail Strategy And Digital Transformation, Training Services For AI Tools And Technologies, Managed Services For AI Systems And Infrastructure, Customer Insights And Analytics Services, Market Research And Consumer Behavior Analysis Services, Post-Implementation Support And Maintenance Services_x000D_
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#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Industry Trends Fueling Future Revenue Growth#_x000D_
Leading companies in the artificial intelligence (AI) sector within fast-moving consumer goods (FMCG) and retail markets are prioritizing the creation of advanced solutions, such as AI-powered open commerce, to elevate customer satisfaction, streamline operations, and enhance supply chain management, thereby enabling retailers to address evolving consumer needs more effectively. AI-powered open commerce refers to a digital commerce framework that utilizes artificial intelligence to deliver customized, seamless shopping journeys across diverse platforms and touchpoints, while concurrently optimizing inventory, pricing, and customer interaction tactics in real time. For instance, in August 2024, RedCloud Technology, a UK-based technology firm focused on digital transformation solutions for the retail industry, introduced Red101, an AI-powered open commerce network intended to revolutionize e-commerce for millions of distributors and small businesses. This innovative platform addresses existing supply chain inefficiencies, promoting fairer, more transparent, and secure trading practices for smaller retailers. Additionally, it contributes to combating counterfeit goods, empowering small-to-medium-sized businesses (SMBs) to contend more successfully with e-commerce giants like Amazon. Red101 connects fast-moving consumer goods (FMCG) brands, distributors, and local merchants in emerging markets._x000D_
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#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Competitive Overview And Top Companies#_x000D_
Major companies operating in the artificial intelligence (AI) in fast-moving consumer goods (fmcg) and retail market are Walmart Inc., Google LLC, Microsoft Corporation, Nestlé S.A., PepsiCo Inc., Procter & Gamble Co., Amazon Web Services Inc., Intel Corporation, International Business Machines Corporation, Oracle Corporation, L’Oréal S.A., SAP SE, NVIDIA Corporation, Salesforce Inc., Colgate-Palmolive Company, Sephora Inc., Zebra Technologies Corporation, Blue Yonder, Talkdesk Inc., Everseen Ltd., RetailNext Inc., TruRating Ltd _x000D_
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#Artificial intelligence (AI) In Fast-Moving Consumer Goods (FMCG) And Retail Market Regional Breakdown: Where Is Demand Concentrated?#_x000D_
North America was the largest region in the artificial intelligence (AI) in fast-moving consumer goods (FMCG) and retail market in 2025. North America is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in fast-moving consumer goods (fmcg) and retail market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa._x000D_
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
