PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1876605
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1876605
The Global Automotive Collision Avoidance Radar Market was valued at USD 3.79 billion in 2024 and is estimated to grow at a CAGR of 14.5% to reach USD 14.69 billion by 2034.

The increasing focus on road safety and the ongoing need to reduce vehicle collisions caused by human error are driving the adoption of radar-based safety systems in vehicles. These systems provide active detection and response capabilities to identify both stationary and moving obstacles, enabling vehicles to react effectively to potential hazards. The steady integration of radar into modern vehicles is supported by advancements in sensor technology, which have enabled both short-range and long-range radar applications for detecting pedestrians, cyclists, and other vehicles in complex traffic environments. Despite their effectiveness, certain applications still require improved detection range, particularly for smaller or hidden obstacles. However, as radar technology continues to evolve and manufacturing costs decline, the potential for adoption in commercial fleets, aftermarket systems, and autonomous vehicle platforms is expanding rapidly. With growing support from traffic safety data analytics and research from leading transportation authorities, radar-based collision avoidance systems are becoming a cornerstone of next-generation vehicle safety and automated driving technologies.
| Market Scope | |
|---|---|
| Start Year | 2024 |
| Forecast Year | 2025-2034 |
| Start Value | $3.79 Billion |
| Forecast Value | $14.69 Billion |
| CAGR | 14.5% |
The hardware segment held 72% share in 2024. Hardware remains the core element of collision avoidance radar systems, as regulations often mandate the inclusion of physical sensors to ensure reliable detection and response functions. Regulatory standards for vehicle safety are also expected to drive additional demand for radar components in new vehicle models as manufacturers prepare for enhanced performance and compliance requirements.
The passenger vehicle segment will grow at a CAGR of 15.2% between 2025 and 2034. The dominance of this segment is attributed to the large-scale production of passenger cars and the growing incorporation of advanced safety systems within this category. Increased radar deployment in passenger vehicles has also stimulated the growth of a strong aftermarket ecosystem that supports radar hardware, integrated sensor fusion software, and service solutions, allowing suppliers to scale production efficiently while maintaining cost-effectiveness.
United States Automotive Collision Avoidance Radar Market generated USD 731.8 million in 2024. Regulatory influence remains a significant driver for radar adoption in the region. The growing integration of radar with Advanced Driver Assistance Systems (ADAS) reinforces its critical role in enhancing driver awareness and minimizing the risk of road accidents. Radar-enabled safety solutions capable of identifying vehicles, pedestrians, and cyclists under diverse driving conditions are becoming increasingly standard in new vehicle models, supporting the nation's broader goal of improving transportation safety and reliability.
Leading companies shaping the Global Automotive Collision Avoidance Radar Market include Valeo, Veoneer, Aptiv, Denso, Bosch, Hella, ZF Friedrichshafen, Hyundai Mobis, Continental, and NXP Semiconductors. Major companies in the Automotive Collision Avoidance Radar Market are focusing on innovation, cost efficiency, and strategic collaboration to reinforce their competitive positioning. Many are investing in advanced radar chipsets, multi-mode radar systems, and 4D imaging radar to enhance detection accuracy and range. Strategic partnerships with automakers and technology providers are being formed to integrate radar seamlessly with ADAS and autonomous driving systems. Firms are also working toward the miniaturization of components and cost reduction to enable broader adoption across various vehicle classes.