Delivering more actionable and strategically valuable research, The Business Research Company’s 2026 market reports feature market attractiveness analysis, total addressable market evaluation, company benchmarking matrices, interactive Excel dashboards, expanded supply chain intelligence, emerging startup coverage, and detailed product insights.
Edge Artificial Intelligence (AI) In Retail Market Growth Potential: How Will Market Size Change Through 2030?
The cellular IoT market size has witnessed exponential growth in recent years. It is anticipated to expand from $9.24 billion in 2025 to $11.87 billion in 2026, achieving a compound annual growth rate (CAGR) of 28.4%. This historical growth can be attributed to several factors, including the expansion of mobile network infrastructure, an increasing demand for remote device connectivity, the proliferation of smart metering deployments, a rising adoption of connected industrial devices, and the greater availability of low-power wide-area networks.
The cellular iot market size is anticipated to experience substantial growth in the coming years. It is projected to reach $29.03 billion by 2030, expanding at a compound annual growth rate (CAGR) of 25.1%. This expansion during the forecast period is driven by the increasing deployment of 5G iot solutions, a rising need for extensive device connectivity, the development of smart city initiatives, a stronger emphasis on secure iot communication, and the growing incorporation of cellular iot in mission-critical applications. Significant trends observed in this period include the wider implementation of nb-iot and lte-m networks, an increase in the adoption of cellular-connected smart devices, the growing integration of iot platforms with cellular connectivity, the expansion of 5g-based iot applications, and a heightened focus on secure wide-area connectivity.
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Edge Artificial Intelligence (AI) In Retail Market Growth Momentum: Which Factors Are Influencing Demand?
The increasing count of smart city initiatives is anticipated to stimulate the expansion of the cellular IoT market going forward. A smart city is characterized as an urban area that leverages advanced technology and data-driven approaches to elevate residents’ quality of life, improve efficiency in resource administration, and foster sustainability and economic development. The proliferation of smart city projects is attributed to governments recognizing technology’s capacity to enhance urban infrastructure, refine citizen services, and tackle societal issues. Cellular IoT empowers smart cities to effectively manage infrastructure and services through real-time data gathering and communication. It supports various applications, including intelligent lighting, traffic control, and environmental surveillance, thereby enriching urban existence. For instance, in September 2024, according to the Organisation for Economic Co-operation and Development (OECD), a France-based organization, the investment in AI for smart cities is projected to rise from USD 37.4 billion in 2023 to USD 164 billion by 2030. Therefore, the escalating number of smart city projects is driving the growth of the cellular IoT market.
Edge Artificial Intelligence (AI) In Retail Market Segment Analysis: What Are The Major Market Categories?
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 Industry Trends: What Changes Are Reshaping Demand?
Companies operating in the cellular IoT market are increasingly concentrating on creating innovative solutions, such as industrial IoT cellular routers, to secure a competitive advantage. Industrial IoT cellular routers are robust networking devices developed to link industrial equipment and systems to the internet via cellular networks. For example, in February 2024, Digi International Inc., a US-based Internet of Things technology company, unveiled the Digi IX40, a 5G edge computing industrial IoT cellular router solution specifically designed for Industry 4.0 applications. It facilitates 5G connectivity and the edge intelligence essential for applications like predictive maintenance, asset monitoring, machine learning, and advanced robotics. The IX40 proficiently connects multiple machines, both wired and wireless, in challenging environments. It improves the integration of cloud-delivered operational technology (OT) services with information technology (IT) to simplify complex operations and scale IT infrastructure.
Edge Artificial Intelligence (AI) In Retail Market Leading Companies Driving Competitive Growth
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 Distribution 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.