With emerging technologies like quantum sensors and edge artificial intelligence driving growth, the global sensor market is poised to reach $253B by 2035, fueled by AI, 6G, and future mobility.
The global sensor market is set to hit US$253 billion by 2035, driven by trends in electric mobility, AI, 6G, and connected devices, according to an IDTechEx report. The report has forecasted this growth to be at a steady 6% compound annual growth rate (CAGR).
Moreover, by 2025, mature sensor technologies like semiconductor, optical, and conventional transducers will dominate the global market, covering sectors such as automotive, aerospace, industrial, consumer, healthcare, and environmental.
However, the report also stated that revenue growth in these established markets is slowing, prompting manufacturers to seek growth in emerging technologies and applications like quantum sensors, emerging image sensors, printed and silicon photonic sensors.
The market is set to flourish with innovations in future mobility (autonomy, electrification, driver monitoring), IoT expansion with AI integration, wearable tech adoption, and the rollout of 6G.
Sensors are crucial for mobility, enabling electrification, automation, and in-cabin monitoring. Technologies like LiDAR and radar support EVs and autonomous vehicles and will drive demand for biometric authentication and features-as-a-service in connected, software-defined vehicles.
Despite challenges, wearable sensor technology offers diverse opportunities across medical, consumer, AR/XR, and industrial sectors. Sensors like motion, optical, and chemical sensors are evolving for niche markets, driven by innovations in smartwatches, fitness trackers, and continuous glucose monitors.
IoT sensing is progressing slowly despite its vast potential across logistics, agriculture, healthcare, and consumer electronics industries. While IoT sensors drive applications in industrial automation, environmental monitoring, and smart buildings, challenges like long ROI periods hinder widespread adoption.
Emerging trends like edge computing and AI integration promise to enhance sensor efficiency and automation, particularly in time-sensitive applications like predictive maintenance and medical wearables.
