The artificial intelligence (AI) in iot market size is expected to see exponential growth in the next few years. It will grow to $63.64 billion in 2030 at a compound annual growth rate (CAGR) of 26.9%. The growth in the forecast period can be attributed to integration of AI with edge computing, rise of smart cities and infrastructure, expansion of industrial iot networks, demand for predictive maintenance solutions, growth in autonomous transport and robotics. Major trends in the forecast period include edge AI integration, predictive maintenance solutions, real-time data analytics, ai-driven automation, smart sensor development.
The expansion of 5G networks is expected to drive the growth of Artificial Intelligence (AI) in the IoT market going forward. 5G network expansion refers to the deployment of fifth-generation wireless technology, offering higher speeds, more reliable connections, and greater capacity than previous networks. This expansion is accelerating as major operators and governments worldwide intensified deployments and coverage in 2023. AI in IoT leverages 5G by enabling intelligent device connectivity, real-time data processing, and automation at the edge, maximizing the benefits of high-speed, low-latency infrastructure. For example, in December 2023, Germany’s Bundesnetzagentur reported that 5G coverage by at least one network operator increased to 90% of the country in October 2023, up from 79% the previous year. Therefore, the growth of 5G networks is driving the adoption of AI in the IoT market.
Major companies in the AI in IoT market are focusing on advanced solutions, such as edge AI and sensor-integrated IoT platforms, to enhance operational efficiency, reduce costs, and improve security across connected devices. Edge AI IoT platforms combine smart sensors, machine learning models running on or near the device, and IoT connectivity to provide real-time analytics, anomaly detection, and automated decision-making without relying solely on centralized cloud processing. For instance, in December 2023, STMicroelectronics, a Switzerland-based semiconductor company, launched the ST Edge AI Suite - an integrated ecosystem of hardware, software tools, and developer libraries designed for industries such as automotive, consumer electronics, and building automation. The suite enables low-power edge inference, streamlined toolchains, and seamless integration with IoT platforms to optimize security and operational workflows.
In June 2025, Nordic Semiconductor ASA, a Norway-based company specializing in ultra-low-power wireless connectivity solutions, acquired the intellectual property and core technology assets of Neuton.AI, Inc. The acquisition enables Nordic Semiconductor to strengthen its edge AI/ML capabilities by integrating Neuton.AI’s TinyML platform with its nRF54 Series ultra-low-power wireless SoCs, supporting always-on AI devices and enhancing its position in the AIoT market. Neuton.AI, Inc. is a U.S.-based company providing automated TinyML model generation and embedded AI solutions for resource-constrained edge devices.
Major companies operating in the artificial intelligence (AI) in iot market are Amazon Inc.; Google LLC; Microsoft Corporation; Hitachi Ltd.; General Electric (GE); Intel Corporation; Accenture PLC; International Business Machines Corporation; Cisco Systems Inc.; Qualcomm Technologies Inc.; Oracle Corporation; Honeywell International Inc.; SAP SE; Fujitsu Limited; NVDIA Corporation; Texas Instruments Incorporated; STMicroelectronics; Infineon Technologies AG; Renesas Electronics Corporation; ARM Holdings; PTC Inc.; Softweb Solutions Inc.; SpaceTime Insight Inc.; CloudMinds Inc.
North America was the largest region in the artificial intelligence (AI) in IoT market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in iot 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 (AI) in iot market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have influenced the AIoT market by impacting the cost and availability of key hardware components such as sensors, microcontrollers, and communication modules. The increase in import duties has particularly affected regions like North America and Europe, which rely on components manufactured in Asia-Pacific countries such as China and Taiwan. Segments such as IoT platforms with AI capabilities and edge AI software have experienced cost pressures, leading manufacturers to explore local sourcing and diversify suppliers. Despite these challenges, tariffs have encouraged innovation and the development of more cost-efficient AIoT solutions, creating opportunities for domestic production and localized service offerings.
The artificial intelligence (AI) in iot market research report is one of a series of new reports that provides artificial intelligence (AI) in iot market statistics, including artificial intelligence (AI) in iot industry global market size, regional shares, competitors with a artificial intelligence (AI) in iot market share, detailed artificial intelligence (AI) in iot market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in iot industry. This artificial intelligence (AI) in iot 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 amalgamation of Internet of Things (IoT) infrastructure and artificial intelligence (AI) technology, harnessing AI algorithms and models alongside the extensive network of interconnected physical devices, sensors, and systems constituting the IoT. This fusion elevates the capabilities of the IoT through data analysis, predictive insights, automation, and intelligent decision-making.
The primary components within artificial intelligence (AI) in IoT encompass software, platforms, and services. Software encompasses a spectrum of programs, data, or instructions utilized for computer operations and task execution. This encompasses a variety of technologies such as machine learning, natural language processing, image processing, speech recognition, catering to end-users across sectors including energy and utilities, manufacturing, retail, transportation and mobility, as well as banking, financial services, and insurance (BFSI).
The artificial intelligence (AI) in IoT market consists of revenues earned by entities by providing services such as data analytics and insights, predictive maintenance, enhanced security, optimized resource management, smart home automation, and edge computing. The market value includes the value of related goods sold by the service provider or included within the service offering. The face-swiping payment market also includes sales of sensors and actuators, edge computing devices, and remote monitoring and control devices. 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 (AI) in IoT 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 (AI) in iot 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 (AI) in iot? 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 (AI) in iot 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 Components: Software; Platforms; Services2) By Technology: Machine Learning; Natural Language Processing; Image Processing; Speech Recognition
3) By-End-User: Energy And Utilities; Manufacturing; Retail; Transportation And Mobility; Banking Financial Services And Insurance (BFSI)
Subsegments:
1) By Software: AI Analytics Software; Edge AI Software; Security Software2) By Platforms: IoT Platforms With AI Capabilities; Cloud-Based AI Platforms; Device Management Platforms
3) By Services: Consulting Services; Integration Services; Support And Maintenance Services
Companies Mentioned: Amazon Inc.; Google LLC; Microsoft Corporation; Hitachi Ltd.; General Electric (GE); Intel Corporation; Accenture PLC; International Business Machines Corporation; Cisco Systems Inc.; Qualcomm Technologies Inc.; Oracle Corporation; Honeywell International Inc.; SAP SE; Fujitsu Limited; NVDIA Corporation; Texas Instruments Incorporated; STMicroelectronics; Infineon Technologies AG; Renesas Electronics Corporation; ARM Holdings; PTC Inc.; Softweb Solutions Inc.; SpaceTime Insight Inc.; CloudMinds Inc.
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 AI in IoT market report include:- Amazon Inc.
- Google LLC
- Microsoft Corporation
- Hitachi Ltd.
- General Electric (GE)
- Intel Corporation
- Accenture PLC
- International Business Machines Corporation
- Cisco Systems Inc.
- Qualcomm Technologies Inc.
- Oracle Corporation
- Honeywell International Inc.
- SAP SE
- Fujitsu Limited
- NVDIA Corporation
- Texas Instruments Incorporated
- STMicroelectronics
- Infineon Technologies AG
- Renesas Electronics Corporation
- ARM Holdings
- PTC Inc.
- Softweb Solutions Inc.
- SpaceTime Insight Inc.
- CloudMinds Inc.
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 24.56 Billion |
| Forecasted Market Value ( USD | $ 63.64 Billion |
| Compound Annual Growth Rate | 26.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 25 |


