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Generative AI In IoT Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The generative AI in iot market has seen substantial growth in recent years. Its valuation is expected to rise from $2.03 billion in 2025 to $2.61 billion in 2026, achieving a compound annual growth rate (CAGR) of 28.3%. The drivers behind this past growth include the proliferation of connected devices and IoT ecosystems, a growing need for operational efficiency, the initial integration of AI in industrial automation, the expansion of cloud computing infrastructure, and a strategic focus on predictive analytics for resource management.
The generative AI in iot market size is expected to undergo substantial expansion in the coming years. It is anticipated to attain $6.99 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 28.0%. This projected growth during the forecast period is driven by factors such as the integration of generative AI for advanced iot analytics, the broadening of edge AI solutions, the creation of context-aware adaptive control systems, the increasing uptake of personalized iot services, and the expansion of AI-driven predictive maintenance solutions. Significant trends for the forecast period involve predictive maintenance and optimization, real-time anomaly detection, context-aware decision making, adaptive control and automation, and personalized iot services.
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Generative AI In IoT Market Growth Momentum: What Factors Are Shaping Demand?
The increasing need for anomaly detection within IoT networks is projected to drive the expansion of generative AI in the IoT market in the future. Anomaly detection in IoT networks refers to the process of identifying unusual patterns or behaviors in data collected from Internet of Things devices. The growing demand for anomaly detection in IoT networks is driven by the necessity for enhanced security, early problem detection, and the capability to uphold the reliability and efficiency of connected systems. Generative AI in IoT networks improves anomaly detection by utilizing advanced algorithms to identify unusual patterns and behaviors, thereby boosting 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 experienced a 41% increase in the average number of weekly attacks per organization targeting IoT devices compared to 2022. On average, 54% of organizations encounter attempted cyber-attacks on IoT devices each week. Therefore, an escalating demand for anomaly detection in IoT networks is fueling the growth of AI in the IoT market.
Generative AI In IoT Market Segment Analysis: What Are The Core Market Categories?
The generative AI in iot market covered in this report is segmented –
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
Generative AI In IoT Market Trends Redefining Industry Growth
Leading companies operating within the generative AI in IoT market are prioritizing the development of technologically advanced solutions, such as AI IoT security assistants, with the aim of improving operational efficiency, simplifying complex tasks, and bridging the cybersecurity skills gap through the application of generative AI technology. AI-powered security assistants enhance cybersecurity by offering real-time analysis of security events, automating the identification of threats, and generating practical insights to reduce risks. For example, in May 2024, Fortinet Inc., a US-based cybersecurity company, unveiled its initial generative AI IoT security assistant as an expansion of its GenAI network and security operations capabilities. This new offering incorporates FortiAI, Fortinet’s sophisticated context-aware AI assistant, to elevate network and security management. The AI assistant allows for natural language queries, enabling IT and security teams to undertake responsibilities like GenAI-assisted scripting, IoT vulnerability detection, and simplified threat analysis. This solution effectively addresses the cybersecurity skills deficit and streamlines operations by making intricate tasks more approachable and quicker to execute.
Generative AI In IoT Market Top Companies Driving Competitive Growth
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.
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Generative AI In IoT Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the generative AI in IoT market in 2025. The regions covered in the generative AI in iot 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.
