By 2025, the >16-28 Nm node held a 58.8% share of the vision processing unit market, reflecting its established balance between processing capability, manufacturing maturity, and cost control. This fabrication process remains the leading choice because it supports broad deployment across volume-driven applications where reliable AI vision performance is needed without the higher production complexity associated with more advanced nodes. its position is underpinned by practical purchasing behavior in the vision processing unit market, where manufacturers often prioritize scalable output, predictable yields, and commercially viable integration over pushing immediately to the smallest process geometry.

The ≤16 Nm segment is emerging as the fastest-growing part of the vision processing unit market as demand shifts toward higher processing density and improved power efficiency in advanced vision workloads. Growth is being driven by use cases that require more intensive on-device inference and tighter thermal and energy constraints, making smaller-node VPUs more attractive than larger fabrication alternatives. As edge AI applications become more performance-sensitive, ≤16 Nm gains momentum because it better aligns with evolving requirements for compact, power-optimized vision processing without relying as heavily on external compute resources.

Vertical Segment Analysis: Consumer Electronics (Largest Segment) vs Security and Surveillance (Fastest-Growing Segment)

Consumer Electronics accounted for the largest share of the vision processing unit market in 2025, backed by the high shipment volumes and rapid product cycles that characterize this vertical. The segment’s lead is rooted in the widespread integration of vision capabilities into everyday devices, where manufacturers need efficient local image and video processing to enhance user experience while managing power consumption and device cost. That combination keeps Consumer Electronics at the center of demand in the vision processing unit market, especially where scale and recurring refresh patterns sustain procurement.

Security and Surveillance is the fastest-growing vertical in the vision processing unit market because it increasingly depends on real-time visual analysis at the edge rather than simple video capture. Growth is being propelled by the need to process more camera data locally for faster response, reduced bandwidth use, and more efficient system operation in continuous monitoring environments. Compared with other verticals, Security and Surveillance is experiencing stronger uptake as deployment conditions favor dedicated vision processing that can support persistent, low-latency analysis in distributed installations.