The automotive camera market in Europe is expected to grow from US$ 2,414.23 million in 2022 to US$ 8,439.24 million by 2028; it is estimated to grow at a CAGR of 23.2% from 2022 to 2028.

The Europe automotive camera market growth is attributable to the rising adoption of advanced cameras in vehicles. The automotive cameras assist the driver in parking, maneuvering, and assessing the vehicle’s performance. The camera systems have played a crucial role in a few recent applications, including Lane Departure Warning Systems (LWDS), Forward Collision Warning System (FCWS), and Blind Spot Warning (BSW). In light and heavy commercial vehicles, the adoption of automotive cameras is growing in various system solutions, such as rear view camera, surround view camera, e-mirror, and driver monitoring systems (DMS). The cameras can be embedded with advanced computer vision algorithms for real machine vision systems for the advanced driver assistance systems (ADAS). Thus, the increase in applications of cameras in automotive vehicles and the rise in technological advancements fuel the adoption of advanced cameras in cars.
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The leading players providing automotive cameras are significantly adopting advanced technologies. For instance, in May 2021, StradVision, a leading company in AI-based vision processing technology for autonomous vehicles and automotive ADAS, introduced the latest features of camera perception software named โSVNetโ. It is a deep learning-based perception software that supports ADAS features, including highway driving assist and automated valet parking. In addition, the rear view camera provided by STMicroelectronics for automotive vehicles caters to various applications, such as state-of-the-art HDR image sensors VG6640 and a versatile image signal processor (ISP) that offers excellent flicker-free image quality at HD resolution.
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Aptiv PLC
Autoliv Inc.
Continental AG
FLIR Systems, Inc.
Gentex Corporation
Magna International Inc.
Mobileye
Robert Bosch GmbH
Stonkam Co., Ltd.
Valeo
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It also provides its product offerings for Driver Monitoring System (DMS) applications, through its HDR Europe Shutter sensor (1.6 Mpixel and 2.3 Mpixel), along with a multichannel voltage regulator and automotive-led drivers, MEMS sensors, ensuring greater flexibility for high-end computer vision applications in critical weather conditions and environments. Thus, the rising adoption of advanced cameras bolsters the automotive camera market growth
Segments Covered
By Application
- Park Assist
- ADAS
By Type
- Mono Camera
- Surround View Camera
- Rear View Camera
By Vehicle Type
- Passenger Cars
- Commercial Vehicle
By Level of Autonomy
- L1
- L2
- L3
Europe Automotive Camera Regional Insights
The geographic scope of the Europe Automotive Camera refers to the specific areas in which a business operates and competes. Understanding local distinctions, such as diverse consumer preferences (e.g., demand for specific plug types or battery backup durations), varying economic conditions, and regulatory environments, is crucial for tailoring strategies to specific markets. Businesses can expand their reach by identifying underserved areas or adapting their offerings to meet local demands. A clear market focus allows for more effective resource allocation, targeted marketing campaigns, and better positioning against local competitors, ultimately driving growth in those targeted areas.
Technological Innovations Driving Growth
Leading players in the automotive camera market are increasingly adopting cutting-edge technologies to stay ahead of the competition. One notable example is StradVision, a leader in AI-based vision processing technology for autonomous vehicles and ADAS. In May 2021, StradVision introduced its latest camera perception software, โSVNet,โ which uses deep learning algorithms to support various ADAS features, including highway driving assist and automated valet parking. These advanced software features are crucial in the development of autonomous driving systems, highlighting the critical role of cameras in achieving safer and more intelligent vehicles.
Similarly, STMicroelectronics is providing innovative solutions for automotive camera applications. The company offers high-performance rearview cameras designed for various automotive uses. One such offering is the VG6640, a state-of-the-art High Dynamic Range (HDR) image sensor that delivers superior image quality without flicker, even in challenging lighting conditions. Additionally, STMicroelectronicsโ image signal processor (ISP) ensures high-definition (HD) resolution, while its HDR Europe Shutter sensors (available in 1.6 Mpixel and 2.3 Mpixel versions) support Driver Monitoring Systems (DMS) applications. These sensors, along with multichannel voltage regulators, automotive-led drivers, and MEMS sensors, enhance the flexibility of camera systems, making them more effective in harsh weather conditions and challenging environments.
Key Applications and Market Drivers
Automotive cameras play a pivotal role in a variety of systems aimed at improving vehicle safety and performance. The integration of camera technologies into ADAS has seen remarkable growth, with applications extending beyond basic safety features. In addition to traditional functions like rearview cameras for parking assistance, vehicles are now equipped with surround-view cameras to offer drivers a comprehensive 360-degree view of their surroundings. E-mirrors, which replace traditional side mirrors with digital cameras, are also gaining traction, particularly in commercial vehicles, where they can reduce wind resistance and improve visibility.
Driver monitoring systems (DMS) are another important application for automotive cameras. These systems use cameras to monitor the driverโs attention, alertness, and overall driving behavior, providing warnings if the driver shows signs of fatigue or distraction. With road safety being a top priority in Europe, the adoption of DMS is expected to increase, further driving the demand for automotive cameras.
Additionally, as vehicles become more automated, the role of cameras in supporting semi-autonomous and fully autonomous driving systems becomes even more crucial. Cameras equipped with machine vision capabilities allow vehicles to perceive their environment and make real-time decisions. This is particularly important for the development of level 4 and level 5 autonomous vehicles, which rely heavily on camera systems and sensors to navigate safely without human intervention.
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