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IMAGING Market report

From Applications to devices, Imaging Technologies for Automotive

Imaging Technologies for Automotive 2016

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Yole Développement report
EUR 6 490
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Imaging technology, which is currently mainly cameras, is exploding into the automotive space, and is set to grow at 20% CAGR to reach $7.3B in 2021


Since 2008, when a recession acted as a wakeup call to the whole industry, the automotive market has undergone obvious structural change. Capitalizing on technologies initially developed for smartphones, electronics have invaded, and imaging technology is now taking center stage. From less than one camera per car on average in 2015, there will be more than three cameras per car by 2021, which means 371 million automotive imaging devices.

Cameras were initially mounted for ADAS purposes on high-end vehicles, with deep learning image analysis techniques promoting early adoption. The Israeli company Mobileye has been instrumental in bringing this technology to market, along with On Semiconductor, which provided the CMOS image sensor. Copycat competition will probably pick up as the market now justifies initial investment in design and technology. It is now a well-established fact that vision-based autonomous emergency braking (AEB) is possible and saves life. Adoption of forward ADAS cameras will therefore accelerate.

Growth of imaging for automotive is also being fueled by the park assist application, and 360° surround view camera volume is skyrocketing. While it’s becoming mandatory in the US to have a rearview camera, that uptake is dwarfed by 360° surround view cameras, which enable a “bird’s eye view” perspective. This trend is most beneficial to companies like Omnivision at sensor level and Panasonic and Valeo, which have become the main manufacturers of automotive cameras.

Mirror replacement cameras are currently the big unknown and take-off will primarily depend on its appeal and car design regulation. Europe and Japan are at the forefront of this trend, which should become slightly significant by 2021.

Solid state lidar is well talked about and will start to be found in high end cars by 2021. Cost reduction will be a key driver as the push for semi-autonomous driving will be felt more strongly by car manufacturers. The report will analyse the impact of lidar for automotive vision in detail.

Night vision cameras using Long Wave Infrared (LWIR) technology were initially perceived as a status symbol. However, they’re increasingly appreciated for their ability to automatically detect pedestrians and wildlife. LWIR will therefore become integrated into ADAS systems in future.

3D cameras will be limited to in-cabin infotainment and driver monitoring. This technology will be key for luxury cars and therefore is of limited use today.

If any significant semi-autonomous trend picks up, the technology will probably become mandatory, due to safety issues.

From applications to devices, Imaging for Automotive

From applications to devices – Imaging Technologies for Automotive 2016, Yole Développement


Highly renowned Silicon Valley companies such as Google, Uber, and Tesla are investing in autonomous driving, bolstering consumer imagination. Cameras and video feedback is an obvious technology marker, which is becoming a must-have for car makers to differentiate themselves. Cameras for display purposes such as park assist are growing at 30% annually. However, they will suffer from quick commoditization, although lower average selling prices (ASPs) will be mitigated by increased resolution and increased volume.

Forward looking ADAS cameras are growing 22% annually will get more complex, which will keep prices high. Today tri-focal cameras and stereo-mounting are gaining popularity. New technologies will raise the bar in terms of security and drive the adoption of early semi-autonomous features. Industrial providers such as camera module players and optical lens set players are capitalizing on this technology-driven environment. Asian leaders such as Sunny Optical and Sekonix are clearly benefiting from this trend.

Cameras don’t really compete with radar or lidar, and all three could be integrated, depending on price and the level of autonomy targeted. As car price reaches certain levels, cameras are the first to be mounted due to their low ASP, then radars are added, then eventually lidars.

Lidars are currently undergoing a technological and industrial revolution, thanks to companies like Delphy, Quanergy and SensL. By becoming solid-state they should be considered as true imaging devices. Their price point will fall below radars’, which are commonly used for ADAS, and consequently they will progressively be adopted by the top end of the automotive market. They will become central to semi-autonomous featured vehicles.

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Early hurdles such as wide dynamic range and large fields of view have been overcome. New issues such as LED flickering and low light issues are currently being considered seriously. SONY and ST Microelectronics’ recent automotive sensor release are examples of the push for technology excellence aimed at displacing ON
Semiconductor leadership in ADAS image sensors.
The current maturity of CIS technology allows for wide adoption of imaging technologies and is also accelerating research for technical efficiencies. Improvements will drive competition and major breakthroughs like the innovations seen in mobile devices could also happen in vehicles image sensors.

The diversity of applications and the sheer numbers of devices, including conventional, 3D and IR cameras and lidars, allows specialization. Image processing can in turn exploit the devices’ capabilities. Multiple processing approaches such as NVidia GPUs, or Kalray’s many-core approaches are competing to enter the market. As automobiles undergo electronic metamorphoses, imaging technology has become a key enabling technology.

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This report’s objectives are to:

  • Identification and analysis of CMOS Image Sensor applications:
    • Determination of the range of applications
    • Market and technology segmentation
    • Market trends and forecasts
    • Key players at application and system levels
  • Analysis and description of the sensor technologies involved:
    • Sensor forecast by application and technology
    • Major global actors
    • Technology trends
    • Main drivers and challenges
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Glossary 2


Report Objectives &  Methodologies 6


Introduction 28

> Global trends
> Automotive market trends


Market Forecast 40

> Automotive imaging shipment forecast 2012-2021 by application
> Automotive imaging sensor revenue forecast 2012-2021 by application
> Automotive imaging camera revenue forecast 2012-2021 by application
> Automotive imaging camera revenue forecast 2012-2021 by component


Phosphor Compositions 94

For each composition (Garnets, Silicates, Nitrides, New compositions …):
> Time Evolution of Patent Publications
> Table Phosphor Compositions v.s. Assignees
> Main Patent Assignees Ranking
> Time Evolution of Patent Assignees
> Patent Assignees IP Network
> Degree of Specialization of Patent Assignees


Player and Ecosystem 50

> Automotive imaging camera market breakdown by manufacturer
> Automotive imaging sensor market breakdown by manufacturer
> Automotive imaging lens set market breakdown by manufacturer
> Automotive imaging camera supply chain


Automotive Visible Camera Market Trend   60

> Automotive imaging within global CIS forecast 2012-2021
> Automotive imaging within global CCCM forecast 2012-2021
> Backup and Surround Cameras
> Forward ADAS Cameras
> Mirror replacement cameras
> Driver Monitoring and infotainment


Automotive Night Vision Camera Market Trend 90

> Automotive LWIR Camera forecast 2012-2021
Automotive LIDAR Market Trend 100
> Automotive LIDAR forecast 2012-2021


Technology Trends 110

> High Dynamic Range
> Back Side Illumination
> Global Shutter
> Time of Flight
> Stereo Cameras
> Solid State Lidar
> Event based sensors
> General technology roadmap
Conclusions 152
Company Profile 155


Conclusions 152



Company Profile 155

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