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Artificial Intelligence Of Things (AIoT) Market Revenue Projected To Rise To $55.46 Billion By 2030
The artificial intelligence of things (aiot) market has experienced substantial expansion in recent years. It is forecast to grow from $13.17 billion in 2025 to $17.47 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 32.6%. This historical increase can be ascribed to several factors including the rising implementation of IoT devices, an escalating demand for automation in manufacturing and logistics, the necessity for improved operational efficiency, the proliferation of data from connected devices, and ongoing developments in AI and analytics technologies.
The artificial intelligence of things (aiot) market is projected to experience substantial growth over the coming years. This market is anticipated to reach $55.46 billion in 2030, exhibiting a compound annual growth rate (CAGR) of 33.5%. Factors driving this expansion during the forecast period include the convergence of AI with IoT platforms, the proliferation of cloud-based AIoT solutions, the uptake of AI-powered energy and resource management, the rise of predictive and prescriptive analytics, and increased funding for smart infrastructure and interconnected ecosystems. Key trends observed throughout this period are AI-enabled predictive maintenance, real-time IoT data analytics, intelligent asset tracking, smart energy management, and AI-driven operational insights.
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Primary Growth Driver Shaping The Artificial Intelligence Of Things (AIoT) Market Outlook
Future expansion of the Artificial Intelligence of Things (AIoT) market is anticipated to be fueled by the rising trend of cloud adoption. Cloud adoption involves businesses moving their computing assets, applications, and infrastructure from traditional on-premise setups to cloud-based solutions like public cloud, private cloud, or hybrid models. The surge in cloud adoption stems from organizations’ pursuit of enhanced scalability, operational agility, and cost-effectiveness within their IT operations. Furthermore, the Artificial Intelligence of Things (AIoT) facilitates cloud adoption by allowing interconnected devices and sensors to transmit substantial data to cloud platforms, enabling real-time analysis and informed decisions. A relevant example from April 2023, based on the National Association of State Chief Information Officers (NASCIO) Accenture survey of U.S. state CIOs, revealed that over 88% of state CIOs reported speeding up cloud adoption, and approximately 60% of state IT organizations had integrated cloud services into their operational frameworks. Consequently, the expanding trend of cloud adoption is a significant impetus behind the growth of the Artificial Intelligence of Things (AIoT) market.
Artificial Intelligence Of Things (AIoT) Market Structure: A Detailed Look At Segments And Subsegments
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 And Strategy Trends Among Leading Companies
Leading companies within the Artificial Intelligence of Things (AIoT) market are concentrating on creating advanced innovations, including Future-Ready City Intelligence Architecture, with the goal of improving real-time urban administration and the effectiveness of smart infrastructure. This Future-Ready City Intelligence Architecture represents a unified AIoT framework, bringing together sensors, network connectivity, and extensive AI models to supply immediate insights, facilitate proactive urban oversight, and automate essential municipal functions. As an example, in November 2025, Dahua Technology Co., Ltd., a technology firm based in China, unveiled its latest Smart City Solutions, which leverage Xinghan Large-scale AI Models. These solutions are designed to bolster real-time urban governance, enhance public safety functions, and boost overall city operational effectiveness. Dahua Technology’s next-gen Smart City Solutions, driven by Xinghan Large-scale AI Models, incorporate closely integrated AI-IoT functionalities. This enables ultra-low-latency analytics across areas such as video surveillance, traffic management, and public safety, thereby supporting predictive city management for optimized resource deployment and swift responses to incidents.
Top Companies Competing In The Artificial Intelligence Of Things (AIoT) Market
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 Regional Outlook Across Major Geographies
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.
