Sensor for Automated Vehicles

Global Sensor for Automated Vehicles Market to Reach US$17.5 Billion by 2030

The global market for Sensor for Automated Vehicles estimated at US$1.1 Billion in the year 2024, is expected to reach US$17.5 Billion by 2030, growing at a CAGR of 58.8% over the analysis period 2024-2030. High-Level Fusion, one of the segments analyzed in the report, is expected to record a 57.1% CAGR and reach US$10.0 Billion by the end of the analysis period. Growth in the Mid-Level Fusion segment is estimated at 63.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$296.2 Million While China is Forecast to Grow at 70.4% CAGR

The Sensor for Automated Vehicles market in the U.S. is estimated at US$296.2 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$4.5 Billion by the year 2030 trailing a CAGR of 70.4% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 49.9% and 55.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 52.0% CAGR.

Global "Sensors for Automated Vehicles" Market – Key Trends & Drivers Summarized

Why Are Sensors the Central Nervous System of Autonomous Mobility?
Sensors are fundamental to the operation and safety of automated vehicles, enabling real-time perception, navigation, and decision-making. These include LiDAR, radar, ultrasonic, cameras, and inertial sensors, all working together to map the environment, detect obstacles, track lane markings, and anticipate pedestrian movement. Advanced Driver Assistance Systems (ADAS) and Level 4+ autonomous vehicles depend on high-resolution, low-latency sensor data to make complex decisions on the road. Redundancy and sensor fusion are critical—no single sensor can handle all conditions alone. LiDAR offers depth perception, radar performs well in low-visibility, and cameras interpret traffic signals and signage. Together, these systems create a comprehensive, 360-degree situational awareness. As vehicle autonomy advances, sensor performance—accuracy, weather resistance, and reaction time—will determine how safely and reliably these systems operate.

Are Solid-State LiDAR and AI-Optimized Cameras Redefining Performance Benchmarks?
A major wave of innovation is sweeping the automotive sensor space, with solid-state LiDAR becoming more compact, cost-effective, and reliable. These systems offer long-range scanning without moving parts, making them ideal for mass-market deployment. Radar systems are also advancing with higher frequency bands and MIMO architectures for better resolution and multi-target tracking. Camera modules now feature embedded AI, enabling real-time object classification, road edge detection, and pedestrian intent prediction. Sensor fusion algorithms combine inputs from different modalities into unified decision frameworks. Companies are developing adaptive sensor systems that dynamically reconfigure focus based on driving context—urban vs. highway, day vs. night. As sensors become smarter and more integrated with vehicle ECUs, autonomous systems will be able to respond faster, drive more naturally, and make fewer mistakes.

How Are Standards, Safety Mandates, and Testing Ecosystems Shaping Sensor Demand?
Global regulations on vehicle safety, emissions, and automation are directly influencing the adoption of automotive sensor technologies. NCAP safety ratings, UNECE regulations, and U.S. NHTSA mandates are requiring inclusion of ADAS features like AEB, lane-keeping, and blind-spot detection. This is pushing OEMs to integrate multi-sensor ADAS stacks even in entry-level vehicles. Validation and simulation platforms—digital twins, sensor emulators, and closed-loop driving environments—are being used to refine sensor systems under diverse conditions. Automakers are collaborating with sensor manufacturers to co-develop automotive-grade modules that meet ISO 26262 and ASPICE standards. Insurance companies and regulators alike are increasingly looking at sensor capabilities when evaluating liability and compliance. These frameworks are elevating sensors from optional add-ons to certified, mandated components of vehicle autonomy.

What’s Accelerating Growth in the Automotive Sensor Ecosystem Worldwide?
The growth in the global sensors for automated vehicles market is driven by several factors including rising vehicle automation levels, global ADAS mandates, and sensor fusion advancements. Automakers across North America, China, Germany, and South Korea are investing in Level 3–4 autonomy platforms, requiring more sensors per vehicle. The push for zero-accident mobility and smart city integration is driving adoption of multi-modal sensing systems in commercial fleets, robo-taxis, and consumer EVs. Sensor prices are falling due to economies of scale and solid-state miniaturization, enabling adoption in mid-tier vehicles. Government policies are promoting ADAS compliance, while private-sector competition is driving innovation in safety-critical performance. Startups and tier-one suppliers are working closely with AI chipmakers to co-design sensor fusion pipelines optimized for real-world driving. As vehicles become rolling computers, sensors are emerging as the critical interface between machine intelligence and physical reality.

SCOPE OF STUDY:

The report analyzes the Sensor for Automated Vehicles market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:
Platform Approach (High-Level Fusion, Mid-Level Fusion, Low-Level Fusion); Sensor Fusion Process (Signal-Level Fusion, Object-Level Fusion, Feature-Level Fusion, Decision-Level Fusion); Vehicle Type (Passenger Cars, Commercial Vehicles)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 43 Featured) -

• Aeva Inc.
• Aptiv PLC
• Asahi Kasei Corporation
• Bosch Mobility Solutions
• Continental AG
• DENSO Corporation
• Hesai Technology
• Infineon Technologies AG
• LeddarTech Inc.
• Luminar Technologies, Inc.
• Mobileye N.V.
• NXP Semiconductors N.V.
• Quanergy Systems, Inc.
• Renesas Electronics Corporation
• Robert Bosch GmbH
• Smart Eye AB
• STMicroelectronics N.V.
• TE Connectivity Ltd.
• Valeo S.A.
• Velodyne Lidar, Inc.

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