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Edge Artificial Intelligence (AI) In Retail Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The edge artificial intelligence (AI) in retail market size has demonstrated significant expansion in recent years. This market is forecast to increase from $21.84 billion in 2025 to $28.53 billion in 2026, achieving a compound annual growth rate (CAGR) of 30.6%. Key drivers for its historical growth include the rise of physical retail analytics, the initial adoption of POS systems, the widespread deployment of IoT sensors, the consumer demand for personalized shopping experiences, and the need for enhanced operational efficiency.
The market for edge artificial intelligence (AI) within the retail sector is projected to experience rapid expansion over the coming years. This market is anticipated to reach $81.71 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 30.1%. The expansion during the projected timeframe can be attributed to several factors, including the deployment of edge technology in smart stores, the rising need for real-time insights, the proliferation of omnichannel retail, AI-powered dynamic pricing, and increased investment in cashierless store concepts. Key trends expected within this forecast period encompass real-time in-store analytics, individualized edge-based recommendations, automated inventory optimization, computer vision-enabled retail, and customer engagement with minimal latency.
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Edge Artificial Intelligence (AI) In Retail Market Growth Drivers: What’s Behind The Acceleration?
The rising count of connected devices is anticipated to propel the expansion of edge artificial intelligence (AI) within the retail market going forward. These devices are electronic gadgets that interact with one another or a central hub via a network, typically the internet, to exchange data and execute tasks remotely. The surge in connected devices stems from the wider embrace of Internet of Things (IoT) technologies, with businesses and individuals incorporating smart devices to boost efficiency, automate processes, and facilitate immediate data sharing across diverse applications. Within retail, edge artificial intelligence (AI) improves the functionality of connected devices by allowing instant data processing and decisions to be made right on the device, thereby cutting down delays and boosting operational effectiveness. As an illustration, in April 2024, as reported by ConsumerAffairs, a US-based customer review and consumer news platform offering guidance for major purchasing decisions, the typical number of connected devices in US households climbed from 21 in 2022 to 25 in 2023. Consequently, the expanding volume of connected devices is fueling the advancement of edge artificial intelligence (AI) in the retail market.
Edge Artificial Intelligence (AI) In Retail Market Segment Landscape: Which Areas Lead Development?
The edge artificial intelligence (AI) in retail market covered in this report is segmented –
1) By Component: Solution, Service
2) By Technology: Machine Learning, Natural Language Processing, Chatbots, Image And Video Analytics, Swarm Intelligence
3) By Application: Customer Relationship Management (CRM), Supply Chain And Logistics, Inventory Management, Product Optimization, In-Store Navigation, Payment And Pricing Analytics, Virtual Assistant, Other Applications
4) By Sales Channel: Brick And Mortar, Omnichannel, Pure-Play Online Retailers
Subsegments:
1) By Solution: Software, Platform
2) By Service: Professional Services, Managed Services
Edge Artificial Intelligence (AI) In Retail Market Trends: What’s Defining The Industry’s Next Phase?
Leading companies within the edge artificial intelligence (AI) in retail market are concentrating on embedding advanced technologies like advanced on-device AI processing to bolster real-time decision-making and elevate customer experience. This advanced on-device AI processing denotes the capacity of smart devices to execute intricate artificial intelligence computations directly on the device, independent of cloud reliance. For retail businesses, it directly supports real-time customer behavior analysis, customized recommendations, and store-level inventory tracking, leading to quicker service and a superior customer experience. As an illustration, in September 2024, IndoAI Technologies Pvt. Ltd., an India-based software company, introduced the IndoAI Edge AI Camera, which is integrated with its pioneering Appization platform. This next-generation smart camera is engineered for real-time AI processing at the edge, facilitating instant analytics and decision-making without dependence on cloud infrastructure. It is particularly suited for industries such as security, retail, healthcare, and industrial automation, guaranteeing low latency, diminished bandwidth consumption, and robust data privacy.
Edge Artificial Intelligence (AI) In Retail Market Industry Leaders And Competitive Landscape
Major companies operating in the edge artificial intelligence (AI) in retail market are Samsung Electronics Co. Ltd., Microsoft Corporation, Alibaba Group Holding Limited, Intel Corporation, Panasonic Holdings Corporation, IBM Corporation, Cisco Systems Inc., Oracle Corporation, Qualcomm Incorporated, Honeywell International Inc., SAP SE, Hewlett Packard Enterprise Company, NVIDIA Corporation, Advanced Micro Devices Inc. (AMD), Zebra Technologies Corporation, SoundHound AI Inc., Mashgin Inc., Syntiant Corp., ClearBlade Inc., SenseTime Group Ltd.
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Edge Artificial Intelligence (AI) In Retail Market Geographic Spread And Regional Opportunities
North America was the largest region in the edge artificial intelligence (AI) in retail market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the edge artificial intelligence (AI) in retail market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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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.
