The automotive 3D imaging and sensing market is expected to grow at a CAGR of 18% during the forecast period of 2023 to 2030. ADAS in cars are the foundation of the global development in automotive automation. CMOS image sensor developments make 3D imaging and sensing a key part of vehicle automation. The automotive sector, formerly deemed unlikely to benefit from 3D sensing technology, now features ADAS and autonomous vehicles powered by 5G and the Internet of Things. LiDAR systems provide short and long-range 3D sensing, allowing vehicles to evaluate their surroundings independently in real-time. Through the use of 3D image technology, modern automobiles have become information-generating hubs connected to the outside world. Built-in features of this technology include anti-theft, parking monitoring, forensics, social media, healthcare, and mobile commerce.

Similar to how CMOS sensors replaced CCDs, niche-focused imagers have improved machine vision applications. Quality checks and machine guiding are two significant automotive applications. Automotive inspection applications are also using machine vision technologies. This includes line scan cameras, 3D imaging, multi-camera systems, and reading barcodes. The automotive 3D imaging market is growing due to more cars and advanced driver assistance systems (ADAS). These sensors' high price hinders the market growth.

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The National Highway Traffic Safety Administration (NHTSA) proposes that a level three to level five automated driving system should monitor the driving environment with minimal to no human interaction. Euro NCAP's need for driver monitoring systems (DMS) is set to become a European safety standard for next-generation vehicles' in-cabin scanners. Premium cars increasingly incorporate cabin sensors. Monitoring the driver's attentiveness can boost vehicle safety and be linked to advanced functions like gesture control. VCSEL sensors require beam shaping and direction management.

2021 cameras market was dominated by LiDAR. To create a complete 3D map of the surroundings and its contents, data must be collected from hundreds of metres down the road to how observant the driver is. Light detection and ranging, or LiDAR, is crucial for long- and short-range scanning. LiDAR captures more information than radar and camera-based imaging and is more accurate. LiDAR is used in ADAS to help the driver. These systems have a safe, easy-to-use human-machine interface. Due to the vehicle's autonomy, it requires great accuracy and support to identify obstacles, avoid them, and navigate safely. LiDAR in robotic cars requires multiple systems to map the vehicle's environment. LiDAR is needed to provide sensor redundancy and passenger safety. Robotic vehicles require the most human touch compared to ADAS-equipped autonomous vehicles. Flash LiDAR is popular since it's easy to use and inexpensive. It measures distance by using a pulse of light from a vertical cavity surface emitting laser (VCSEL) array and a time-of-flight camera. This allows it to reconstruct a 3D map of the environment around it. LiDAR is expected to play a key role in building completely autonomous cars and passenger robots.

In 2021, the hardware sector accounted for more than 45.0% of revenue, and it is expected to continue dominating the market. Software is predicted to expand at a 20% CAGR from 2023 to 2030. This segment's growth can be ascribed to 3D imaging and sensing technologies' better safety and protection, parking monitoring, etc. solutions.

North America provided more than 35.0% of total revenue in 2021 and is expected to be the top region throughout the projected period. The presence of major industry players and high acceptance of current technology are boosting the local market. Asia Pacific is expected to grow at the highest CAGR of 20.8% during the forecast period. Automotive manufacturing and automation firms grew the local market. China, Japan, and India are investing more because of the sector's growth potential. Rising technology awareness and acceptability in the region may help boost the market.

Due to the presence of numerous global and regional market competitors, the market is fragmented. Leading companies in an industry use partnerships, collaborations, acquisitions and mergers, and agreements to expand and survive in a competitive environment. 3D imaging companies invest significantly in R&D to create more sophisticated products and add new technologies and features. Top companies in this segment include Continental AG, Leddartech, Quanergy Systems, Velodyne LiDAR, Inc., Novariant, Inc., Denso Corporation, Phantom Intelligence, Teledyne Optech Incorporated, Valeo, Omnivision Technologies, Inc and others.

Key Market Trends

• Automotive 3D imaging and sensing market is expected to grow at a CAGR of 18% during the forecast period of 2023 to 2030.
• 2021 cameras market was dominated by LiDAR.
• In 2021, the hardware sector accounted for more than 45.0% of revenue, and it is expected to continue dominating the market.
• Software is predicted to expand at a 20% CAGR from 2023 to 2030.
• North America provided more than 35.0% of total revenue in 2021 and is expected to be the top region throughout the forecast period.
• Asia Pacific is expected to grow at the highest CAGR of 20.8% during the forecast period.
• Due to the presence of numerous global and regional market competitors, the market is fragmented.
• Top companies in this segment include Continental AG, Leddartech, Quanergy Systems, Velodyne LiDAR, Inc., Novariant, Inc., Denso Corporation, Phantom Intelligence, Teledyne Optech Incorporated, Valeo, and Omnivision Technologies, Inc and others.

Market Segmentation

 Region Segment (2020–2030; US$ Mn)

*Complete segmentation list is on report page