AI in IoT market seen topping $833.9B by 2035

The global AI in IoT market is projected to jump from $97.0 billion in 2025 to about $833.9 billion by 2035, driven by falling edge AI costs, regulatory pressure and faster 5G deployment. North America leads today, while Asia-Pacific is growing fastest as vendors push more intelligence into sensors, gateways and industrial systems.

Why it matters: - AI is turning connected devices from data collectors into decision-makers in factories, hospitals, cities and utilities. - The shift could cut downtime, improve energy use and move automation closer to the edge, where many industrial and safety systems need faster responses. - The market’s projected rise to $833.9 billion by 2035 signals a large spending cycle across hardware, software and services.

What happened: - Market Research Future said the global AI in IoT market reached $97.0 billion in 2025 and is set to rise to about $120.3 billion in 2026. - The firm projects the market will reach $833.9 billion by 2035, implying a 24.0% CAGR across the forecast period. - The report was published Aug. 7, 2026, from Berlin. - A sample PDF is available here.

The details: - AI-driven IoT device management platforms are replacing legacy SCADA, MES and rule-based systems. - Machine learning for IoT data analytics holds the largest technology share at about 38%. - Intelligent edge computing is the fastest-growing segment because robotics and safety-critical sensing cannot tolerate cloud latency. - AI infrastructure spending across major cloud providers reached about $320 billion in 2025. - The price per trillion operations per second on edge-class AI accelerators fell about 38% from 2022 to 2025. - Predictive maintenance can cut unplanned downtime by roughly one-third to one-half and extend asset life by a similar margin. - Global 5G connections are projected to top 5.5 billion by 2030. - The market includes platforms, software solutions and services across machine learning and deep learning, natural language processing, computer vision and digital twins. - Key verticals include manufacturing, energy and utilities, transportation, BFSI, government and defense, retail, healthcare and life sciences, telecom, agriculture, education, tourism and hospitality. - Deployment splits across edge-based, hybrid and cloud-based AIoT.

Between the lines: - Regulatory pressure is helping drive adoption, including U.S. semiconductor incentives under the CHIPS and Science Act and early-2026 obligations under the EU AI Act. - Government-backed industrial AI programs in Europe, Germany and Japan are adding demand. - The market still faces friction from cybersecurity risk, higher device-security compliance costs, a shortage of AI and IoT engineers, and fragmented standards. - The report says the top five vendors hold an estimated 38% to 42% of global revenue, leaving the market moderately fragmented. - Hyperscalers and chipmakers are converging on the edge-and-cloud orchestration layer as they compete for control of connected-device data flows. - Outcome-based contracts such as uptime guarantees and energy-savings shares are emerging as a higher-margin business model. - Smaller foundation models tuned for time-series telemetry could become the next major product opportunity.

What's next: - North America currently leads with about 35% of global share, but Asia-Pacific is growing fastest at roughly 27.8% CAGR through 2035. - Healthcare is the fastest-growing vertical, expanding at about 26.9% CAGR as remote patient monitoring reimbursement broadens. - The report expects continued vendor consolidation as hyperscalers absorb smaller platform players. - More public spending on smart infrastructure in India, Southeast Asia, Europe and the Gulf could widen the addressable market. - Market Research Future offers a premium report here and a full report here.

The bottom line: - AI in IoT is moving from a niche industrial upgrade to a broad infrastructure market, with regulation, cheaper edge silicon and cloud investment combining to accelerate adoption.