Market Overview
AI in IoT refers to the integration of machine learning, computer vision, and other AI techniques with IoT device networks to enable automated decision-making at the edge and in the cloud. The market reached approximately USD 92.99 billion in 2025 and is currently estimated at USD 99.044 billion in 2026, with sustained expansion forecast through 2031. Because no government statistical agency publishes dedicated figures for this segment, all reported sizing is produced by commercial research providers, which explains variance across published estimates.
- •Integration of ML, computer vision, and AI with IoT networks for edge and cloud automation
- •Market reached approximately USD 92.99 billion in 2025 and is currently estimated at USD 99.044 billion in 2026
- •Forecast to expand significantly through 2031 based on mainstream industry projections
- •All sizing figures sourced exclusively from commercial research providers due to lack of government tracking
Growth Drivers
The principal growth drivers are the exponential rise in connected device deployments, falling unit costs for edge AI processors and sensors, and the increasing willingness of enterprises to automate operational workflows. Telecommunications 5G rollouts and low-power wide-area network expansions are making AI-in-IoT deployments viable in new geographies and verticals. Regulatory pressure for safety, emissions monitoring, and predictive maintenance in industrial settings is also accelerating adoption.
- •Exponential increase in connected device deployments across industries
- •Falling unit costs for edge AI processors and sensors
- •Growing enterprise adoption of automated operational workflows
- •5G telecommunications rollouts and LPWAN expansion enabling new geographies and verticals
- •Regulatory pressure driving adoption for safety, emissions monitoring, and predictive maintenance
Segmentation and Regional Analysis
The market segments by component (hardware, software, services), deployment mode (cloud, edge, hybrid), end-user industry (manufacturing, transportation, energy, healthcare, smart cities), and region. North America currently leads revenue share, followed by Europe and Asia-Pacific, with Asia-Pacific projected to post the fastest growth on the back of industrial digitization in China, Japan, South Korea, and India. Platform-layer software and edge-AI hardware tend to capture the largest individual revenue slices within the component breakdown.
- •Component segmentation: hardware, software, and services
- •Deployment modes: cloud, edge, and hybrid
- •End-user industries: manufacturing, transportation, energy, healthcare, and smart cities
- •Regional breakdown: North America leads, followed by Europe and Asia-Pacific
- •Asia-Pacific projected for fastest growth driven by industrial digitization in China, Japan, South Korea, and India
- •Platform-layer software and edge-AI hardware capture the largest individual revenue shares
Trends and Outlook
What are the recent trends and outlook?
Through 2031, the market is expected to be reshaped by the migration of inference workloads from centralized clouds to edge devices, the rise of foundation-model integrations tailored to sensor data, and tighter convergence between operational technology and IT. Energy efficiency, model compression, and on-device learning are emerging as critical differentiators, while cybersecurity for AI-in-IoT deployments is becoming a primary procurement criterion. The base-case trajectory points to sustained mid-single-digit to high-single-digit annual expansion, with upside potential if edge AI standards consolidate faster than expected.
- •Migration of inference workloads from centralized clouds to edge devices
- •Rise of foundation-model integrations tailored to sensor data
- •Tighter convergence between operational technology and IT infrastructure
- •Energy efficiency, model compression, and on-device learning as critical differentiators
- •Cybersecurity emerging as a primary procurement criterion for AI-in-IoT deployments
- •Base-case trajectory of sustained mid-single-digit to high-single-digit annual expansion through 2031
Get in touch and our analysts will be happy to help with custom market sizing, deeper segmentation, supplier detail or a bespoke study built for you.
Connect to an analyst →Market size and forecast are Claight Analysis, informed by public research and industry data. Historical years before 2026 and all forecast years are Claight estimates at the stated CAGR. Retrieved 2026.