Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Artificial Intelligence Of Things (AIoT) Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The market for artificial intelligence of things (aiot) has experienced rapid expansion over the past few years. Its valuation is projected to increase from $13.17 billion in 2025 to $17.47 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 32.6%. Historically, this expansion has been driven by factors such as the greater integration of IoT devices, a rising need for automation in manufacturing and logistics sectors, the requirement for improved operational efficiency, the increasing volume of data generated by connected devices, and progress in AI and analytics technologies.
The artificial intelligence of things (AIoT) market size is projected to experience substantial growth in the coming years. It is anticipated to expand to $55.46 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 33.5%. This forecasted growth can be attributed to several factors, including the integration of artificial intelligence with IoT platforms, the broadening availability of cloud-based AIoT solutions, the adoption of AI-driven strategies for energy and resource management, an increase in predictive and prescriptive analytics, and rising investments in smart infrastructure and interconnected ecosystems. Significant trends expected during this period encompass AI-enabled predictive maintenance, real-time IoT data analytics, intelligent asset tracking, smart energy management, and AI-powered operational insights.
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Artificial Intelligence Of Things (AIoT) Market Demand Drivers: What’s Powering Industry Growth?
The future expansion of the Artificial Intelligence of Things (AIoT) market is anticipated to be propelled by increasing cloud adoption. Cloud adoption refers to the process by which organizations migrate computing resources, applications, and infrastructure from on-premises environments to cloud-based services such as public cloud, private cloud, or hybrid models. This surge in cloud adoption is occurring as organizations seek greater scalability, agility, and cost-efficiency in their IT operations. Artificial Intelligence of Things (AIoT) supports cloud adoption by enabling connected devices and sensors to deliver rich data to cloud platforms for real-time analytics and decision-making. For instance, in April 2023, according to the National Association of State Chief Information Officers (NASCIO) Accenture survey of U.S. state CIOs, more than 88 % of state CIOs reported accelerating cloud adoption, and roughly 60 % of state IT organizations had incorporated cloud into their operations. Therefore, the increasing cloud adoption is driving the growth of the Artificial Intelligence of Things (AIoT) market.
Artificial Intelligence Of Things (AIoT) Market Segment Analysis: What Are The Core Market Categories?
The artificial intelligence of things (aiot) market covered in this report is segmented –
1) By Offering: Solutions, Services
2) By Deployment: On-Premises, Cloud
3) By Vertical: Banking, Financial Services and Insurance (BFSI), Manufacturing, Healthcare, Energy And Utilities, Retail, Transportation And Logistics, Other Verticals
Subsegments:
1) By Solutions: AI Hardware, AI Software, Connectivity Solutions, Data Management Solutions
2) By Services: Consulting Services, Implementation Services, Maintenance And Support Services, Training And Education Services
Artificial Intelligence Of Things (AIoT) Market Innovation Trends: What Developments Are Reshaping The Industry?
Major companies operating in the Artificial Intelligence of Things (AIoT) market are focusing on developing innovative advancements, such as Future-Ready City Intelligence Architecture, to enhance real-time urban management and smart infrastructure efficiency. This Future-Ready City Intelligence Architecture serves as an integrated AIoT framework that unifies sensors, connectivity, and large-scale AI models to deliver real-time insights, enable predictive urban management, and automate critical city operations. For instance, in November 2025, Dahua Technology Co., Ltd., a China-based technology company, introduced its next-gen Smart City Solutions powered by Xinghan Large-scale AI Models, aiming to enhance real-time urban governance, strengthen public-safety capabilities, and improve overall city operational efficiency. Dahua Technology’s next-gen Smart City Solutions powered by Xinghan Large-scale AI Models feature tightly integrated AI-IoT capabilities, providing ultra-low-latency analytics across video surveillance, traffic control, and public safety, and enabling predictive city management for optimal resource allocation and rapid incident response.
Artificial Intelligence Of Things (AIoT) Market Top Companies Driving Competitive Growth
Major companies operating in the artificial intelligence of things (aiot) market are Google LLC; Microsoft Corporation; Robert Bosch GmbH; Hitachi Ltd.; Amazon Web Services Inc.; General Electric Co; Intel Corporation; International Business Machines Corporation; Tencent Cloud Service Pte.; Cisco Systems Inc.; Oracle Corporation; SAP SE; Fujitsu Ltd.; ABB Ltd.; The Hewlett Packard Enterprise Company; Nvidia Corporation; Sharp Corporation; NXP Semiconductors N.V.; SAS AB; General Vision Inc.; C3.AI Inc.; DataRobot Inc.; Echelon Corporation; Autoplant Systems India Pvt Ltd.; Brighterion Inc.; ITRex Group; ClarifAI Inc.; AIBrain Inc.; Milesight Technology USA
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Artificial Intelligence Of Things (AIoT) Market Largest Region: Which Geography Holds The Biggest Share?
North America was the largest region in the artificial intelligence of things (AIoT) market in 2025. The regions covered in the artificial intelligence of things (aiot) 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.
