The artificial intelligence of things (aiot) market size is expected to see exponential growth in the next few years. It will grow to $55.46 billion in 2030 at a compound annual growth rate (CAGR) of 33.5%. The growth in the forecast period can be attributed to integration of AI with iot platforms, expansion of cloud-based aiot solutions, adoption of ai-driven energy and resource management, growth in predictive and prescriptive analytics, increasing investments in smart infrastructure and connected ecosystems. Major trends in the forecast period include ai-enabled predictive maintenance, real-time iot data analytics, intelligent asset tracking, smart energy management, ai-driven operational insights.
The rising adoption of cloud technology is anticipated to drive the growth of the Artificial Intelligence of Things (AIoT) market in the coming years. Cloud adoption refers to the process in which organizations transition computing resources, applications, and infrastructure from on-premises environments to cloud-based services, including public, private, or hybrid clouds. The increase in cloud adoption is fueled by organizations seeking greater scalability, agility, and cost-efficiency in their IT operations. Artificial Intelligence of Things (AIoT) facilitates cloud adoption by allowing connected devices and sensors to transmit rich data to cloud platforms for real-time analytics and decision-making. For example, in April 2023, according to the National Association of State Chief Information Officers (NASCIO) Accenture survey of U.S. state CIOs, over 88 % of state CIOs reported accelerating cloud adoption, with approximately 60 % of state IT organizations having integrated cloud into their operations. Thus, the growing cloud adoption is supporting the expansion of the Artificial Intelligence of Things (AIoT) market.
Key players in the Artificial Intelligence of Things (AIoT) market are concentrating on developing innovative solutions, such as Future-Ready City Intelligence Architecture, to improve real-time urban management and smart infrastructure efficiency. Future-Ready City Intelligence Architecture is an integrated AIoT framework that combines sensors, connectivity, and large-scale AI models to provide real-time insights, enable predictive urban management, and automate essential city operations. For instance, in November 2025, Dahua Technology Co., Ltd., a China-based technology company, launched its next-generation Smart City Solutions powered by Xinghan Large-scale AI Models, designed to enhance real-time urban governance, strengthen public-safety capabilities, and improve overall city operational efficiency. Dahua Technology’s solutions integrate AI-IoT capabilities to provide ultra-low-latency analytics for video surveillance, traffic control, and public safety, enabling predictive city management for optimal resource allocation and rapid incident response.
In July 2025, Synopsys, Inc., a US-based electronic design automation (EDA) and system-design software provider, acquired Ansys, Inc. Through this acquisition, Synopsys aims to strengthen its AIoT capabilities by integrating Ansys’s engineering simulation and AI-enabled design software into its hardware-software ecosystem. Ansys, Inc. is a US-based company specializing in engineering simulation and AI-driven design solutions.
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.
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. The countries covered in the artificial intelligence of things (aiot) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have affected the artificial intelligence of things (AIoT) market by increasing the cost of imported AI hardware, IoT sensors, connectivity solutions, and cloud infrastructure components. This has impacted deployment budgets for BFSI, manufacturing, healthcare, energy, and transportation sectors, especially in North America, Europe, and Asia-Pacific regions reliant on imported technology. Segments such as AI hardware, connectivity solutions, and data management solutions are most affected. On the positive side, tariffs have encouraged local manufacturing and software development, promoting domestic innovation and cost-effective AIoT deployments.
The artificial intelligence of things (aiot) market research report is one of a series of new reports that provides artificial intelligence of things (aiot) market statistics, including artificial intelligence of things (aiot) industry global market size, regional shares, competitors with a artificial intelligence of things (aiot) market share, detailed artificial intelligence of things (aiot) market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence of things (aiot) industry. This artificial intelligence of things (aiot) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial Intelligence of Things (AIoT) is the fusion of AI technologies with Internet of Things (IoT) infrastructure, aimed at enhancing data management, analytics, IoT operations, and interactions between humans and machines. Its fundamental goal is to harness the potential of IoT while leveraging Artificial Intelligence to enhance decision-making processes by swiftly and accurately providing operational insights.
AIoT offerings primarily come in two categories, solutions and services. An AIoT solution encompasses an integrated package of technologies that organizations can acquire to address specific challenges or create fresh value within their operations. These deployments can be either on-premises or cloud-based, catering to a range of industries such as banking, financial services, insurance (BFSI), manufacturing, healthcare, energy and utilities, retail, transportation and logistics, and more.
The artificial intelligence of things (AIoT) market consists of revenues earned by entities by providing services such as edge analytics, remote healthcare, precision agriculture, predictive maintenance and industrial automation. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence of things (AIoT) market also includes sales of autonomous vehicles, autonomous delivery robots and traffic monitors. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
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Table of Contents
Executive Summary
Artificial Intelligence Of Things (AIoT) Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence of things (aiot) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence of things (aiot)? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence of things (aiot) market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Offering: Solutions; Services2) 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 Solutions2) By Services: Consulting Services; Implementation Services; Maintenance And Support Services; Training And Education Services
Companies Mentioned: 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this Artificial Intelligence of Things (AIoT) market report include:- 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
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 17.47 Billion |
| Forecasted Market Value ( USD | $ 55.46 Billion |
| Compound Annual Growth Rate | 33.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 30 |


