Generative AI In IoT Market Report 2026

Generative AI In IoT Market Overview

• Generative AI In IoT market size has reached to $2.03 billion in 2025 • Expected to grow to $6.99 billion in 2030 at a compound annual growth rate (CAGR) of 28% • Growth Driver: Escalating Demand For Anomaly Detection In Iot Networks Fuels Growth In generative AI Solutions • Market Trend: Industry’s First generative AI Iot Security Assistant To Enhance Network And Security Operations • North America was the largest region in 2025.

What Is Covered Under Generative AI In IoT Market?

Generative artificial intelligence (AI) in the Internet of Things (IoT) refers to the application of advanced AI models to create, predict, and optimize data and processes within the Internet of Things ecosystems. This integration leads to increased efficiency, reduced operational costs, and the development of innovative IoT solutions tailored to specific industry needs. The main types of technology providers in generative AI in the IoT include established AI technology companies, IoT platform providers, cloud service providers, and specialized generative AI startups. Established AI technology companies offer comprehensive and proven AI technologies that integrate with IoT systems to enable enhanced data processing, predictive analytics, and automation. The deployment modes include on-device, cloud-based, and application areas categorized into anomaly detection, predictive maintenance, adaptive control, resource optimization, personalized services, and contextual decision-making. The industry verticals include manufacturing, healthcare, transportation, agriculture, and others.

What Is The Generative AI In IoT Market Growth Forecast?

The generative AI in iot market size is expected to see exponential growth in the next few years. It will grow to $6.99 billion in 2030 at a compound annual growth rate (CAGR) of 28.0%. The growth in the forecast period can be attributed to integration of generative AI for advanced iot analytics, expansion of edge AI solutions, development of context-aware adaptive control systems, increased adoption of personalized iot services, growth in AI-driven predictive maintenance solutions. Major trends in the forecast period include predictive maintenance and optimization, real-time anomaly detection, context-aware decision making, adaptive control and automation, personalized iot services.

Global Generative AI In IoT Market Segmentation

1) By Technology Providers: Established AI Technology Companies, IoT Platform Providers, Cloud Service Providers, Specialized Generative AI Startups 2) By Deployment Mode: On Device, Cloud Based 3) By Application: Anomaly Detection, Predictive Maintenance, Adaptive Control, Resource Optimization, Personalized Services, Contextual Decision Making 4) By Industry Vertical: Manufacturing, Healthcare, Transportation, Agriculture, Other Industries Subsegments: 1) By Established AI Technology Companies: Major AI Solution Providers, Global Tech Enterprises, AI-Focused Research Labs, AI Hardware Providers 2) By IoT Platform Providers: End-to-End IoT Platform Vendors, IoT Device Management Providers, Edge Computing Platform Providers, Connectivity Management Solutions 3) By Cloud Service Providers: Cloud Infrastructure Providers, Cloud-Based AI And ML Service Providers, Hybrid Cloud Solution Providers 4) By Specialized Generative AI Startups: Niche AI Startups Focused On IoT Integration, Emerging AI-Driven IoT Solutions Companies, Vertical-Specific AI Startups, Edge AI And Analytics Startups

What Is The Driver Of The Generative AI In IoT Market?

The escalating demand for anomaly detection in IoT networks is expected to propel the growth of generative AI in the IoT market going forward. Anomaly detection in IoT networks refers to the process of identifying unusual patterns or behaviors in data collected from Internet of Things devices. The increasing demand for anomaly detection in IoT networks is due to the need for enhanced security, early problem detection, and the ability to maintain the reliability and efficiency of connected systems. generative AI in IoT networks enhances anomaly detection by using advanced algorithms to identify unusual patterns and behaviors, thereby improving security, reducing downtime, optimizing system performance, and supporting proactive maintenance and decision-making. For instance, in April 2023, according to a report by Check Point, an Israel-based software security provider, the first two months of 2023 witnessed a 41% increase in the average number of weekly attacks per organization targeting IoT devices compared to 2022. On average, 54% of organizations experience attempted cyber-attacks on IoT devices each week. Therefore, an escalating demand for anomaly detection in IoT networks is driving the generation of AI in the IoT market.

Key Players In The Global Generative AI In IoT Market

Major companies operating in the generative AI in iot market are Google LLC, Microsoft Corporation, Dell Technologies Inc., Bosch Group, Huawei Technologies Co. Ltd., Amazon Web Services Inc. (AWS), Siemens AG, General Electric Company (GE), Intel Corporation, Accenture plc, International Business Machines Corporation (IBM), Cisco Systems Inc., Qualcomm Incorporated, Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, Fujitsu Limited, NVIDIA Corporation, Keysight Technologies Inc, Fortinet, Inc, Hitachi Vantara LLC, PTC Inc., Palantir Technologies Inc., Temenos AG, C3.AI Inc.

Global Generative AI In IoT Market Trends and Insights

Major companies operating in the generative AI in IoT market are focusing on developing technologically advanced solutions, such as AI IoT security assistants, to enhance operational efficiency, simplify complex tasks, and address the cybersecurity skills gap by leveraging generative AI technology. AI-driven security assistants enhance cybersecurity by providing real-time analysis of security events, automating threat identification, and generating actionable insights to mitigate risks. For instance, in May 2024, Fortinet Inc., a US-based cybersecurity company, launched its first generative AI IoT security assistant as part of its expanded GenAI network and security operations capabilities. This new service integrates FortiAI, Fortinet’s advanced context-aware AI assistant, to enhance network and security management. The AI assistant supports natural language queries, enabling IT and security teams to perform tasks such as GenAI-assisted scripting, IoT vulnerability detection, and simplified threat analysis. This solution addresses the cybersecurity skills gap and streamlines operations by making complex tasks more accessible and faster to execute.

What Are Latest Mergers And Acquisitions In The Generative AI In IoT Market?

In June 2023, Accenture Plc., an Ireland-based professional services company, acquired Flutura Limited for an undisclosed amount. The acquisition aims to strengthen Accenture's industrial AI services, particularly for energy, chemicals, metals, mining, and pharmaceutical clients. Moreover, Accenture aims to enhance its capabilities by providing advanced AI solutions that improve operational efficiency, optimize performance, and drive innovation in these industries. Flutura Limited is an India-based company specializing in industrial artificial intelligence (AI) for IoT.

Regional Insights

North America was the largest region in the generative AI in IoT market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Generative AI In IoT Market?

The generative AI in IoT market consists of revenues earned by entities by providing services such as predictive maintenance, automation, workflow optimization, and advanced data analytics for improved decision-making. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in IoT market also includes sales of products such as intelligent sensors, AI-driven edge devices, automated control systems, and smart monitoring solutions to enhance operational efficiency and data-driven decision-making. 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.

How is Market Value Defined and Measured?

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.

What Key Data and Analysis Are Included in the Generative AI In IoT Market Report 2026?

The generative ai in iot market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the generative ai in iot industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.