“Integration of AI, IoT, and ADAS in Sensor Systems”
- A prominent trend in the global passenger car sensors market is the rising integration of Artificial Intelligence (AI), Internet of Things (IoT), and Advanced Driver Assistance Systems (ADAS) to enhance vehicle automation, safety, and diagnostics
- For instance, Bosch and Continental have developed AI-enabled sensor platforms that enable real-time analysis of data from cameras, radar, and lidar, helping power adaptive cruise control, emergency braking, and lane-keeping systems
- AI integration in sensors supports predictive maintenance, where embedded analytics forecast component failures using real-time sensor data—improving vehicle uptime and reducing maintenance costs for both consumers and fleet operators
- The use of IoT-connected sensors allows continuous monitoring of tire pressure, engine performance, and environmental conditions. Companies like DENSO and NXP are advancing V2X communications using smart sensors to enable connected car ecosystems
- With growing EV adoption, thermal sensors and battery management sensors are in high demand. Infineon and STMicroelectronics have introduced specialized sensors for efficient thermal regulation and energy optimization in electric vehicles
- This trend toward smart, connected, and autonomous sensor solutions is transforming the passenger car landscape, enabling higher levels of automation, driver safety, and system intelligence, which directly aligns with evolving mobility demands
