Edge Artificial Intelligence (AI) In Retail Industry Revenue to Reach $63.07 Billion by 2029 with CAGR of 30.4% (2025–2029)

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Edge Artificial Intelligence (AI) In Retail Market
 
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What Is the Expected Market Growth Rate for the Edge Artificial Intelligence (AI) In Retail Market?
The edge artificial intelligence (ai) in retail market size has grown exponentially in recent years. It will grow from $16.76 billion in 2024 to $21.84 billion in 2025 at a compound annual growth rate (CAGR) of 30.3%. The growth in the historic period can be attributed to increasing adoption of IoT devices, rising demand for real-time analytics, rise in AI-powered customer engagement, increase in autonomous store concepts, and increasing need for supply chain optimization.

The edge artificial intelligence (ai) in retail market size is expected to see exponential growth in the next few years. It will grow to $63.07 billion in 2029 at a compound annual growth rate (CAGR) of 30.4%. The growth in the forecast period can be attributed to increasing deployment of 5 G networks, rising focus on personalized shopping experiences, rise in computer vision applications, increase in demand for AI-driven inventory management, and increasing integration of edge AI with robotics. Major trends in the forecast period include advancement in edge computing capabilities, advanced AI-driven checkout solutions, development of smart shelves and pricing systems, innovations in real-time customer behavior analysis, and advanced integration of edge AI with AR/VR.

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Which Major Growth Factors Are Shaping the Edge Artificial Intelligence (AI) In Retail Market?
The increasing number of connected devices is expected to propel the growth of the edge artificial intelligence (AI) in retail market going forward. Connected devices are electronic devices that communicate with each other or a central system over a network, typically the internet, to share data and perform tasks remotely. The increasing number of connected devices is due to the growing adoption of Internet of Things (IoT) technologies, as businesses and consumers integrate smart devices to enhance efficiency, automation, and real-time data exchange across various applications. Edge artificial intelligence (AI) in retail enhances the performance of connected devices by enabling real-time data processing and decision-making directly at the device level, reducing latency and improving operational efficiency. For instance, in April 2024, according to ConsumerAffairs, a US-based customer review and consumer news platform that provides information for purchasing decisions around significant life changes or milestones, the average number of connected devices in US households increased from 21 in 2022 to 25 in 2023. Therefore, the increasing number of connected devices is driving the growth of edge artificial intelligence (AI) in retail market.

What Are the Emerging Segments in the Edge Artificial Intelligence (AI) In Retail Market?
The edge artificial intelligence (ai) in retailmarket 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: Hardware, Software, Platform
2) By Service: Professional Services, Managed Services

Which Emerging Trends Are Driving the Edge Artificial Intelligence (AI) In Retail Market?
Major companies operating in the edge artificial intelligence (AI) in retail market are focusing on integrating innovative technologies such as advanced on-device AI processing to enhance real-time decision-making, improve customer experience. Advanced on-device AI processing refers to the ability of smart devices to perform complex artificial intelligence computations locally without relying on cloud connectivity. It helps retail businesses by directly enabling real-time customer behavior analysis, personalized recommendations, and inventory tracking at the store level, resulting in faster service and improved customer experience. For instance, in September 2024, IndoAI Technologies Pvt. Ltd., an India-based software company, launched the IndoAI Edge AI Camera, integrated with its pioneering Appization platform. The next-generation smart camera is designed for real-time AI processing at the edge. It enables instant analytics and decision-making without relying on cloud infrastructure. The camera is ideal for security, retail, healthcare, and industrial automation industries. It ensures low latency, reduced bandwidth usage, and strong data privacy.

Which Companies Hold the Largest Share in the Edge Artificial Intelligence (AI) In Retail Market?
Major companies operating in the edge artificial intelligence (AI) in retail market are Samsung Electronics Co. Ltd., Microsoft Corporation, Alibaba Group Holding Limited, Amazon Web Services Inc., 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.

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Which Regions Are Driving the Most Demand in the Edge Artificial Intelligence (AI) In Retail Market?
North America was the largest region in the edge artificial intelligence (AI) in retail market in 2024. 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, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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