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.
Artificial Intelligence Of Things (AIoT) Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence of things (aiot) market size has experienced significant expansion in recent years. It is anticipated to expand from $13.17 billion in 2025 to $17.47 billion in 2026, achieving a compound annual growth rate (CAGR) of 32.6%. The market’s growth during the preceding period can be linked to factors such as the rising adoption of IoT devices, an escalating need for automation in manufacturing and logistics, the imperative for improved operational efficiency, the increasing volume of data generated by connected devices, and continuous advancements in AI and analytics technologies.
The market size for Artificial Intelligence of Things (AIoT) is projected to experience substantial expansion in the coming years. This market is anticipated to reach $55.46 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 33.5%. Factors contributing to this growth over the forecast period include the merging of AI with IoT platforms, the proliferation of cloud-based AIoT solutions, the embrace of AI-powered energy and resource management, the rise of predictive and prescriptive analytics, and increased capital committed to smart infrastructure and interconnected ecosystems. Key trends identified for the forecast period encompass AI-enabled predictive maintenance, real-time IoT data analysis, intelligent asset tracking, smart energy management, and AI-powered operational insights.
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Artificial Intelligence Of Things (AIoT) Market Demand Drivers: What Is Fueling Industry Growth?
The Artificial Intelligence of Things (AIoT) market is projected to grow with increasing cloud adoption. Cloud adoption is defined as the transition of computing resources, applications, and infrastructure by organizations from on-premises setups to cloud-based services, encompassing public, private, or hybrid models. This shift is escalating as organizations seek greater scalability, agility, and cost-efficiency for their IT operations. Artificial Intelligence of Things (AIoT) plays a crucial role in supporting cloud adoption by enabling connected devices and sensors to transmit rich data to cloud platforms for real-time analytics and informed decision-making. For instance, an April 2023 National Association of State Chief Information Officers (NASCIO) Accenture survey of U.S. state CIOs indicated that over 88% of state CIOs reported accelerating cloud adoption, and approximately 60% of state IT organizations had incorporated cloud into their operations. Therefore, the expanding cloud adoption is a significant driver for the growth of the Artificial Intelligence of Things (AIoT) market.
Artificial Intelligence Of Things (AIoT) Market Segment Analysis Highlighting Growth Areas
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 Growth Trends: What Is Influencing The Future Outlook?
Leading companies in the Artificial Intelligence of Things (AIoT) market are concentrating on developing advanced innovations, such as Future-Ready City Intelligence Architecture, to optimize real-time urban administration and the effectiveness of smart infrastructure. Future-Ready City Intelligence Architecture represents an integrated AIoT framework that combines sensors, connectivity, and extensive AI models to offer immediate insights, enable foresighted urban management, and automate vital city operations. For instance, in November 2025, Dahua Technology Co., Ltd., a technology firm based in China, launched its advanced Smart City Solutions, powered by Xinghan Large-scale AI Models. These solutions aim to improve real-time urban governance, strengthen public safety capabilities, and elevate overall city operational efficiency. Dahua Technology’s advanced Smart City Solutions, utilizing Xinghan Large-scale AI Models, incorporate tightly integrated AI-IoT functionalities, delivering ultra-low-latency analytics across video surveillance, traffic control, and public safety, thereby facilitating predictive city management for optimal resource allocation and prompt incident response.
Artificial Intelligence Of Things (AIoT) Market Leading Companies: Who Holds Significant Market Presence?
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 Leading Geography: Which Region Generates The Most Revenue?
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.