The type dimension of the Automatic Vehicle Undercarriage Surveillance System market is delineated into five principal sub‑categories: sensor‑based, camera‑based, integrated AI, wireless and hybrid systems. Sensor‑based solutions, typically employing vibration and pressure transducers, dominate the early‑stage adoption due to their lower cost and ease of retrofit, contributing roughly 35% of total market revenue. Camera‑based platforms, leveraging high‑resolution imaging and infrared capabilities, account for about 25%, driven by demand for real‑time visual diagnostics in high‑value equipment. Integrated AI systems, which fuse sensor data with machine‑learning algorithms for predictive maintenance, are rapidly expanding and currently represent 20% of the market, reflecting higher margins and OEM partnerships. Wireless configurations, enabling remote data transmission over cellular or satellite links, hold 12% of the share, primarily in geographically dispersed operations. The hybrid category, combining multiple sensing modalities, occupies the remaining 8%, catering to niche applications that require comprehensive monitoring. Collectively, these types shape the overall Automatic Vehicle Undercarriage Surveillance System segmentation and inform investment priorities across the value chain.