Hardware held a 59.17% share of the artificial intelligence of things (AIoT) market in 2025, reflecting its central role in enabling connected intelligence at the device and edge level. Sensors, processors, modules, and embedded computing platforms remain the foundation of AIoT deployments because they are required to capture data, run inference, and support real-time machine interaction in operational environments. This leadership is maintained through the practical reality that enterprises cannot scale AIoT systems without reliable physical infrastructure, making hardware the core spending layer across industrial, commercial, and smart environment use cases.

Services are emerging as the fastest-growing part of the artificial intelligence of things (AIoT) market as organizations move beyond initial device installation and focus on integration, optimization, and lifecycle management. Growth is being encouraged by the increasing complexity of connecting AI models, edge devices, cloud systems, and enterprise workflows into a functioning operational stack. Compared with hardware, services are gaining momentum because many adopters now need implementation support, data management, system tuning, and ongoing maintenance to extract measurable value from AIoT deployments rather than simply expanding device counts.

Deployment Segment Analysis: Cloud (Largest Segment) vs On-Premises (Fastest-Growing Segment)

Cloud accounted for the largest share of the artificial intelligence of things (AIoT) market in 2025, backed by its ability to centralize data processing, analytics, and device management across distributed networks. Its dominant position comes from the operational convenience of scaling AI workloads, managing updates, and integrating data from large volumes of connected endpoints without heavy local infrastructure requirements. For many deployments in the artificial intelligence of things (AIoT) market, cloud remains the most practical environment for coordinating multi-site operations and supporting continuous model improvement.

On-premises is the fastest-growing deployment segment in the artificial intelligence of things (AIoT) market as enterprises place greater emphasis on low-latency processing, tighter control over sensitive data, and dependable performance in mission-critical settings. Its momentum relative to cloud is tied to practical deployment needs where immediate decision-making and local autonomy matter more than centralized flexibility. As AIoT adoption expands into environments with stricter operational, security, or connectivity requirements, on-premises deployment is seeing stronger uptake because it aligns more directly with those real-world constraints.