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 INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS) PROPEL AUTOMOTIVE IMAGING 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. More information on that report at http://www.i-micronews.com/reports.html

1. From Technologies to Market
Imaging
Technologies for
Automotive
2016 Sample
From Technologies to Market
© 2016

2. 2
REPORT OBJECTIVES
Provide a clear understanding of applications and related technologies.
Ecosystem identification and analysis:
• Determine applications range
• Technical market segmentation
• Economic requirements by segment
• Key players by market and analysis
• Market size and market forecast in $M and Munits
Analysis and description of market and technologies involved:
• Major actors on a global basis
• Detailed applications per market segment
• Technology identification for different products and processes
• Competing technologies
• Main technical challenges
Ecosystem
Market
Technology
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

3. 3
WHO SHOULD BE INTERESTED IN THIS REPORT?
Sensor manufacturers and vendors:
o Evaluate market potential of future technologies
and products for new applicative markets
o Screen potential new suppliers for introducing new
disruptive technologies
o Monitor and benchmark your competitors’
advancements
Automotive companies:
o Spot new technologies and define diversification
strategies
o Position your company in the ecosystem
Technology suppliers:
o Understand the strategies of automotive players
Equipment & materials manufacturers:
o Understand the ecosystem dynamics
o Understand the differentiated value of your products
and technologies in this market
o Identify new business opportunities and prospects
Electronics manufacturers and original equipment
makers:
o Evaluate the benefits of using these new technologies
in your end-system
o Screen and select new sensor suppliers
Financial & strategic investors:
o Understand the potential of technologies and
markets
o Familiarize yourself with key emerging companies and
start-ups
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

4. 4
METHODOLOGY
• Yole’s methodology for building market forecasts is different from other market research companies'
methodologies:
o Our approach is to build a model where all the data from product shipments, module sales, sensor production, and
player market share is collectively linked with detailed assumptions.
• We collect data from several sources, including:
o Primary data from direct interviews and visits with main players
o Direct contacts and surveys with equipment & materials suppliers
o Direct cost analysis from teardown reports conducted by System Plus Consulting
o Comparisons between publically-available secondary data from OICA, Gartner, IDC, etc.
• As a result, we are able to present synthetic market metrics intrinsic to this specific industry:
o The main advantage of this approach is to deliver homogeneous data from unit shipments and system sales to player
market share
o We regularly update the market information presented in this study
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

5. 5
METHODOLOGIES & DEFINITIONS
Yole’s market forecast model is based on the following elementary structured blocks:
Yole’s
analysis
framework
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

6. 6
TABLE OF CONTENTS
Part 1/1
• Glossary 6
• Report Objectives & Methodologies 5
• Introduction 28
Global trends
Automotive market trend
• Market Forecast 40
Automotive imaging shipment forecast 2012-2021
by application in M units
Automotive imaging sensor revenue forecast 2012-
2021 by application in $M
Automotive imaging camera revenue forecast 2012-
2021 by application in $M
Automotive imaging camera revenue forecast 2012-
2021 by component in $M
• 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 CCM forecast
2012-2021
Rearview 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 vision camera market trend 100
Automotive LIDAR camera forecast 2012-2021
• Technology trends 110
High Dynamic Range
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

7. 7
TABLE OF CONTENTS
Part 2/1
Back Side Illumination
Global Shutter
Time of Flight
Stereo cameras
Solid state lidars
Event based sensors
GeneralTechnology roadmap
• Conclusion 152
• Company profile 155
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

8. 8
ABOUT THE AUTORS
Biography & contact
Pierre Cambou
From 1999, Pierre Cambou has been part of the imaging industry. Pierre took several positions atThomsonTCS which became
Atmel Grenoble in 2001 and e2v Semiconductors in 2006. In 2012 he founded a start-up calledVence Innovation (now Irlynx) in
order to bring to market a disruptive infrared Man to Machine interaction technology. He has an Engineering degree from
Université de Technologie de Compiègne and a Master of Science fromVirginiaTech. More recently he graduated with an MBA
from Grenoble Ecole de Management. He joinedYole Développement as Imaging Activity Leader in 2014.
Contact: cambou@yole.fr
©2016 | www.yole.fr | Status of the CMOS image sensor industry
Guillaume Girardin,Market &Technology Analyst
Guillaume Girardin works atYole Développement as a Market &Technology Analyst for MEMS devices and technologies.
Guillaume holds a Ph.D. in Physics and Nanotechnology from Claude Bernard University Lyon 1, and an M.Sc. inTechnology and
Innovation Management from EM Lyon School of Business. He has contributed to several marketing and technological analyses
and has authored many reports and articles.
Contact: girardin@yole.fr
Dr. Eric Mounier,Senior Analyst
Dr. Eric Mounier has a PhD in Microelectronics from the INPG in Grenoble. In 1998, he co-foundedYole Développement, a
market research company based in France. AtYole, Dr. Mounier oversees market analysis for MEMS & sensors, visible and IR
imagers (CIS, microbolometers,etc.), semiconductors,printed electronics, and photonics (i.e. silicon photonics).He has
contributed to over 200 marketing and technological analyses and 70 reports. Dr. Mournier is also an expert at the OMNT
("Observatoire des Micro & Nanotechnologies") for Optics.
Contact: mounier@yole.fr
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

9. 9
RELATED REPORTS
Discover more related reports within our bundles here.
©2016 | www.yole.fr | Point-of-Need Testing: Application of Microfluidic Technologies

10. Imaging for Automotive
Executive Summary

11. 11
WHAT IS IMAGING?
Ability to “perceive” the environment at a distance using propagating waves
Imaging goes
beyond the
human sense
of vision
Electromagnetic Wave
Luminance & Color
imaging
Time of Flight
3D imaging
Mechanical Wave
Time of Flight
3D imaging
GAMMA-RAY X-RAY UV VISIBLE NEAR-IR RADAR RADIO
1mm3mm780nm380nm10nm0.01nm0.000001nm 10cm 10m
LWIR THz
INFRASOUNDSOUNDULTRASOUNDHYPERSOUNDHEAT
THz GHz Hz
100m10cm100nm 10µm1nm
HzkHzMHzGHzTHz
0.01nm
OCT LIDAR
 An image can be “perceived” if at least some 50 pixel x 50 pixel, grey scale matrix is obtained
SAR
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

12. 12
IMAGING FOR AUTOMOTIVE
Which are the imaging devices?
Visible,
3D, and
night vision
cameras are
current
imaging
devices for
automotive
Ultrasound
Parking, SR pedestrian & obstacle detection
Short-range radar
Front & rear parking
Long-range radar
Adaptive Cruise Control
Visible cameras
Blind-spot, side-view (mirrorless cars),
accident recorder, rear park assist
Stereo cameras: direction & distance for
LDWS & traffic sign recognition
Night vision camera
Pedestrian / animal detection
LIDAR
Dead reckoning sensors
Odometry
Automotive radars
do not qualify as
imaging device,
this could become
possible in the
future
3D mapping of surroundings
Automotive Lidars
do start to qualify
as imaging devices
3D cameras
Gesture recognitions
presence detection,
driver monitoring
IMAGING
DEVICES
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

13. 13
$200B
FINAL APPLICATION MARKET FOR CAMERAS
Two industries
controlled by
giant companies
with ~$200B in
revenue
2015 camera & industry revenue comparison
Consumer
Electronics
Industry
Automotive $2.26T
CAGR +3.2%
91M units
ASP $25,000$1.2T
CAGR +3.1%
3,966M units
ASP $300
$152B
CAGR +7%
91M units
ASP $1,670
≈ ≈ ≈ ≈
The automotive
industry
$2.1B
CAGR +24%
86M units
ASP $24.4Automotive Cameras
$25.5B
CAGR +11%
4,800M units
ASP $5.3
Consumer Cameras
Automotive
Electronics
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

14. 14
Market renewal
brings in many
types of new
players
Software, Hardware and ADAS at the intersection of current automotive macrotrends
AUTOMOTIVE MARKET MACROTRENDS
New
competition
& regulation
New
players
Tech companies
New
business
models
Environment
Efficiency
• Lighter materials,
recyclability
• Improved internal
combustion engines
• Powertrain electrification
Shared
Mobility
• Car sharing
• Car pooling
• On demand
• Etc…
Digital
Connectivity
• Entertainment
• Data handling
• Mapping
Software
Hardware
New
players
Startups
&
ADAS
Safety
• Computer design
& simulation
• Braking assist
• Airbags
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

15. 15
AUTOMOTIVE IMAGING CAMERA REVENUE FORECAST 2012–2021
By application (in $M)
The market
will triple with
the number of
cameras
Yole Développement © May 2015
“For display” camera
is half of the market,
“ADAS camera” is the
other half
Due to better ASP
profile, the Forward
ADAS cameras should
be the main segment
by 2018
Devices other than
visible cameras will
start to become
significant by 2021
TOTAL 233 565 1,088 2,053 3,271 4,543 5,435 6,173 6,781 7,328 23.6%
YoY Growth 124% 143% 93% 89% 59% 39% 20% 14% 10% 8%
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

16. 16
AUTOMOTIVE IMAGING MARKET BREAKDOWN
By manufacturer
Market share
and
Analysis
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

17. 17
SENSOR MODULE ASP FOR EACH AUTOMATION LEVEL
A level-3 car
will have $2,200
worth of
embedded
sensors for AD
Sensors -
Level 1
# Cost
Ultrasonic 4 $15
Radar LRR 1 $125
Camera for
surround
1 $80
TOTAL 6 $265
Sensors –
Level 2
# Cost
Ultrasonic 8 $15
Radar LRR 1 $125
Radar SRR 4 $50
Camera for
surround
4 $80
TOTAL 17 $765
LEVEL 1
LEVEL 2
LEVEL 3
Assisted
driving
Full
automation
ACC LDWS
ACC LDWS
LKA
PA
ACC LDWS
LKA
PA
AEB DM
TJA
ACC LDWS
LKA
PA
AEB DM Sensor fusion
ACC LDWS
LKA
PA
AEB DM
Sensor
fusion
AP
everywhere
2015 2021 2030 2040< 2012
ACC: Adaptive Cruise Control
LDWS: Lane-Departure Warning
System
LKA: Lane-Keeping Assist
PA: Park Assist
AEB: Automatic Emergency Braking
DM: Driver Monitoring
AP: Automatic Pilot
Functionalities
TJA
AP highway
TJA
AP
highway
LEVEL 5
LEVEL 4
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

18. 18
AUTOMOTIVE IMAGING TECHNOLOGY TREND
Breakthrough technologies for automotive
(Source: Yole Développement, 2016)
Players Application
Near Infrared Increased dynamics / Active imaging
Time of Flight In-cabin driver monitoring
Stereo cameras 3D sensing forward cameras
Time Gated Sensors All weather sensing
Far Infrared Pedestrian & animal detection
Solid state Lidar 3D sensing forward cameras
Hyperspectral Sensors Object classification
Event based sensors High speed & low bandwidth sensing
©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

19. 19
DIGITAL IMAGING
Key technologies for the future of sensing
Beyond
luminance
1960 2000 2020 2030 2035
Technology x Market
Footprint
5 years10 years20 years40 years
2D Imaging
Luminance 3D Imaging
Depth 4D Imaging
Time 5D Imaging
Spectral
beyond
Visible &
Near infrared
Time of Flight
Stereo
Time gating
Solid state Lidars Event based
LWIR fusion
Hyperspectral
Acceleration :The speed of technology change doubles every technology shift
©2016 | www.yole.fr | SOITEC Conference©2016 | www.yole.fr | Imaging Technologies for Automotive Sample

20. © 2016
Yole Développement
FromTechnologies to Market

21. 21
MEMS &
Sensors
LED
Compound
Semi.
Imaging Photonics
MedTech
Manufacturing
Advanced Packaging
Batteries / Energy
Management
Power
Electronics
FIELDS OF EXPERTISE
Yole Développement’s 30 analysts operate in the following areas
©2016 | www.yole.fr | About Yole Développement

22. 22
4 BUSINESS MODELS
o Consulting and Analysis
• Market data & research, marketing analysis
• Technology analysis
• Strategy consulting
• Reverse engineering & costing
• Patent analysis
www.yole.fr
o Reports
• Market &Technology reports
• Patent Investigation and patent infringement risk
analysis
• Teardowns & Reverse Costing Analysis
• Cost SimulationTool
www.i-Micronews.com/reports
o Financial services
• M&A (buying and selling)
• Due diligence
• Fundraising
• Maturation of companies
• IP portfolio management & optimization
www.yolefinance.com
www.bmorpho.com
o Media
• i-Micronews.com website
• @Micronews e-newsletter
• Communication & webcast services
• Events
www.i-Micronews.com
©2016 | www.yole.fr | About Yole Développement

23. 23
A GROUP OF COMPANIES
Market,
technology and
strategy
consulting
www.yole.fr
M&A operations
Due diligences
www.yolefinance.com
Innovation and business maker
www.bmorpho.com
Manufacturing costs analysis
Teardown and reverse engineering
Cost simulation tools
www.systemplus.fr
IP analysis
Patent assessment
www.knowmade.fr
©2016 | www.yole.fr | About Yole Développement

24. 24
OUR 2016 REPORTS PLANNING
o MEMS & SENSORS
− Gas Sensors and Combos 2016
− Status of the MEMS Industry 2016*
− Sensors for Cellphones and Tablets 2016
− Market and Technology Trends of Inkjet Printheads: Towards New Printing Opportunities
2016…
− Sensors for Biometry and Recognition 2016
− Finger Print Sensors Market and Technologies 2016
− 3D Imaging & Sensing 2016**
− Silicon Photonics 2016
− Emerging Non Volatile Memories 2016*
o IMAGING & OPTOELECTRONICS
− Status of the CMOS Image Sensor Industry 2016*
− Uncooled Infrared Imaging Technology & Market Trends 2016*
− Imaging Technologies for Automotive 2016
− Sensors for Drones & Consumer Robots 2016
− 3D Imaging & Sensing 2016**
− Silicon Photonics 2016
o MEDTECH
− BioMEMS 2016
− Point of Need Testing 2016: Application of Microfluidic Technologies
o ADVANCED PACKAGING
− FanOut WLP: Technology Trends and Business Update 2016*
− Embedded Die Packaging: Technology and Markets Trends 2016*
− 2.5D & 3D IC Business Update 2016
− Status of the Advanced Packaging Industry 2016*
− Advanced Packaging in Emerging Markets: China 2016
− Supply Chain Readiness for Panel Manufacturing in Packaging 2016
o MANUFACTURING
− Inspection and Metrology Technology and Applications Trends in Advanced Packaging 2016**
− Equipment and Materials for Fan Out Technology (Wafer vs Panel)
− Equipment and Materials for Advanced Substrates
− Equipment and Materials for 3D T(X)V Technology
− Thinning & Dicing Equipment for Advanced Packaging, MEMS, Photovoltaics, LED, CMOS 2016
o COMPOUND SEMICONDUCTORS
− SiC Modules, Devices and Substrates for Power Electronics 2016*
− GaN Modules, Devices and Substrates for Power Electronics 2016*
− Sapphire Applications & Market 2016: from LED to Consumer Electronics*
− RF GaN Technology and Market Analysis 2016
o LED
− Sapphire Applications and Market 2016: From LED to Consumer Electronics*
− LED Packaging 2016
− Microdisplays and MicroLEDs
− UV LED Technology, Manufacturing and Applications Trends 2016*
− OLED for Lighting 2016
− LED in Automotive Lighting 2016
o POWER ELECTRONICS
− Power Electronics in Electric and Hybrid Vehicles 2016
− Status of Power Electronics Industry 2016*
− Passive Components Technologies and Market Trends for Power Electronics 2016
− SiC Modules, Devices and Substrates for Power Electronics 2016*
− GaN Modules, Devices and Substrates for Power Electronics 2016*
− Inverter Technologies Trends & Market Expectations 2016
− Power Electronics for Renewable Energy 2016
− Thermal Management for LED and Power 2016
− RF GaN Technology and Market Analysis 2016
o BATTERY
− Market Trends and Technologies in Battery Pack and Assembly 2016
− Innovative and Emerging Technologies in Energy Storage Market 2016
**To be confirmed
Patent Analysis by Knowmade and Teardown & Reverse Costing by System Plus Consulting are available on
www.i-micronews.com
©2016 | www.yole.fr | About Yole Développement

25. 25
OUR 2015 PUBLISHED REPORTS LIST
o MEMS & SENSORS
− Sensors and Data Management for Autonomous Vehicles
− Sensors for Wearable Electronics And Mobile Healthcare
− Status of the MEMS Industry
− Uncooled Infrared Imaging Technology & Market Trends
− Infrared Detector Technology & Market Trends
− High-End Gyroscopes, Accelerometers and IMUs for Defense, Aerospace & Industrial
− Emerging Non Volatile Memory (NVM) Technology & Market Trends
o IMAGING & OPTOELECTRONICS
− Camera Module Industry
− Uncooled Infrared Imaging Technology & Market Trends
− Status of the CMOS Image Sensors
− Infrared Detector Technology & Market Trends
o MEDTECH
− Sample Preparation Automation Through Emerging Microfluidic Technologies
− 2015 Microfluidic Applications in the Pharmaceutical, Life Sciences, In-Vitro Diagnostic, and
Medical Device Markets
− Sensors for Wearable Electronics And Mobile Healthcare
o COMPOUND SEMICONDUCTORS
− Sapphire Applications & Market 2015: from LED to Consumer Electronics
− SiC, GaN, and other Wide Band Gap (WBG) materials for power electronics applications
− GaN and SiC Devices for Power Electronics Applications
o LED
− LED Lighting Module Technology, Industry and Market Trends 2015
− UV LED - Technology, Manufacturing and Application Trends
− Phosphors & Quantum Dots 2015: LED Downconverters for Lighting & Displays
− Sapphire Applications & Market 2015: from LED to Consumer Electronics
o POWER ELECTRONICS
− Power Packaging Technology Trends and Market Expectations
− Energy Management for Smart Grid, Cities and Buildings: Opportunities for Battery
Electricity Storage Solutions
− Status of Chinese Power Electronics Industry
− New Technologies and Architectures for Efficient Data Center
− IGBT Market and Technology Trends
− Status of Power Electronics Industry
− SiC, GaN, and other Wide Band Gap (WBG) materials for power electronics applications
− GaN and SiC Devices for Power Electronics Applications
o ADVANCED PACKAGING
− Status of the Advanced Packaging Industry
− Supply Chain Readiness for Panel Manufacturing in Packaging
− Fan-in Wafer Level Packaging: Market and Technology Trends
− Flip Chip: Technologies and Markets Trends
− Fan-Out and Embedded Die: Technologies & Market Trends
o MANUFACTURING
− Photolithography Equipment and Materials for Advanced Packaging, MEMS and LED
Applications
− Emerging Non Volatile Memory (NVM) Technology & Market Trends
Patent Analysis by Knowmade and Teardown & Reverse Costing by System Plus Consulting are
available on www.i-micronews.com
©2016 | www.yole.fr | About Yole Développement

26. 26
CONTACT INFORMATION
Follow us on
• Consulting and Specific Analysis
• North America: Steve LaFerriere, Director of Northern America Business Development
Email: laferriere@yole.fr
• Japan & Asia:Takashi Onozawa, Representative Director,Yole KK
Email: onozawa@yole.fr
• RoW: Jean-Christophe Eloy, CEO & President,Yole Développement
Email eloy@yole.fr
• Report business
• North America: Steve LaFerriere, Director of Northern America Business Development
Email: laferriere@yole.fr
• Europe: Lizzie Levenez, Global Business Development Manager EMEA
Email: llevenez@systemplus.fr
• Japan, Korea & Rest of Asia:Takashi Onozawa, Representative Director,Yole KK.
Email: onozawa@yole.fr
• Greater China: Mavis Wang, Business Development Director
Email: wang@yole.fr
• Financial services
• Jean-Christophe Eloy, CEO & President
Email: eloy@yole.fr
• General
• Email: info@yole.fr
©2016 | www.yole.fr | About Yole Développement

27. 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.
IMAGING TECHNOLOGIES FOR AUTOMOTIVE 2016
Market & Technology report - October 2016
INFOTAINMENT AND ADVANCED DRIVER ASSISTANCE SYSTEMS (ADAS)
PROPEL AUTOMOTIVE IMAGING
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.
KEY FEATURES OF THE REPORT
Get the sample of the report
on www.i-Micronews.com
• Market forecast in $US and units
of automotive imaging sensors
through 2021
• Market forecast in $US and units
of automotive cameras through
2021
• Ecosystem analysis, player market
share by components
• Market analysis covering visible
cameras, solid state lidars, LWIR
cameras and 3D cameras
• Technology roadmaps
OBJECTIVES OF THE REPORT
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
(Yole Développement, October 2016)
From applications to devices
Ultrasound
Parking, SR pedestrian obstacle detection
Short-range radar
Front rear parking
Long-range radar
Adaptive Cruise Control
Visible cameras
Blind-spot, side-view (mirrorless cars),
accident recorder, rear park assist
Stereo cameras: direction distance for
LDWS traffic sign recognition
Night vision camera
Pedestrian / animal detection
LIDAR
Dead reckoning sensors
Odometry
3D mapping of surroundings
3D cameras
Gesture recognitions
presence detection,
driver monitoring
IMAGING
DEVICES

28. IMAGING TECHNOLOGIES FOR AUTOMOTIVE 2016
(Yole Développement, October 2016)
A MAZY TECHNOLOGICAL ROADMAP WILL BRING MANY OPPORTUNITIES
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.
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.
0
8
2012 2013 2014 2015 2016e 2017e 2018e 2019e 2020e 2021e
Revenue($B)
Dash camera Backup 360° suround Side mirror replacement Forward ADAS
Night vision Lidar Driver monitoring Gesture recognition
2012-2020 Automotive camera revenue forecast (in $B) by applications
IMAGING WILL TRANSFORM THE CAR INDUSTRY EN-ROUTE TO
THE SELF-DRIVING PARADIGM SHIFT

29. Find more
details about
this report here:
MARKET TECHNOLOGY REPORT
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
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
Conclusion 152
Company profile 155
TABLE OF CONTENTS (complete content on i-Micronews.com)
• Status of the CMOS Image Sensor Industry
2016: New Market and Technology Dynamics
• Sensors for Drones and Robots: Market
Opportunities and Technology Revolution
• Uncooled Infrared Imaging Technology
and Market Trends 2016
• Camera Module Industry Report
• Automotive Lighting: Technology, Industry,
and Market Trends
Find all our reports on www.i-micronews.com
RELATED REPORTS
Benefit from our Bundle Annual Subscription offers and access our analyses at the best available
price and with great advantages
Automotive imaging technology roadmap
(Yole Développement, October 2016)
AUTHORS
In 1999 Pierre Cambou joined the
imaging industry. He had earned an
Engineering degree from Université de
Technologie de Compiègne in parallel to
a Master of Science from Virginia Tech in
1998. More recently he graduated from
Grenoble Ecole de Management’s MBA.
Pierre took several positions at Thomson
TCS which became Atmel Grenoble in
2001 and e2v Semiconductors in 2006.
In 2012 he founded the start-up Vence
Innovation (now called Irlynx) in order
to bring to market a disruptive Man to
Machine interaction technology. He joined
Yole Développement as Imaging Activity
Leader in 2014.
COMPANIES CITED IN THE REPORT (non exhaustive list)
Aisin Seiki, Ambarella, Apple, Blablacar, Bosch, BYD, Chronocam, Continental, Delphi, Denso, e2v,
FLIR, Fujitsu, Google, Ibeo, Infineon, Invisage, Kalray, Kingpak, LFoundry, LG, Magna, Magneti Marelli,
Melexis, Mobileye, Movidius, NXP, Nvidia, Omnivision, ON Semiconductor, Panasonic, PMD Technologies,
Quanergy, SensL, Sensata, Sick, Soft Kinetic, SMIC, Socionext, Sony, STMicroelectronics, SK Hynix , Tesla,
Toshiba, TSMC, TowerJazz, Uber, Valeo, Velodyne, Videantis, Volvo, X-Fab, and many more.
1960 2000 2020 2030 2035
Technology x market
footprint
5 years10 years20 years40 years
2D imaging
luminance 3D imaging
depth 4D imaging
time 5D imaging
spectral
beyond
Visible
near infrared
Time of flight
Stereo
Time gating
Solid state lidars Event based
LWIR fusion
Hyperspectral
Acceleration :The speed of technology change doubles every technology shift
Dr. Eric Mounier has a PhD in
microelectronics from the INPG in Grenoble.
He previously worked at CEA LETI RD
lab in Grenoble, France in marketing dept.
Since 1998 he is a cofounder of Yole. At
Yole Développement, Dr. Eric Mounier
is in charge of market analysis for MEMS
Sensors, visible and IR imagers (CIS,
microbolometers), semiconductors, printed
electronics and photonics (e.g. Silicon
photonics). He has contributed to more
than 200 marketing technological analysis
and 100 reports. Eric is also an expert at
the OMNT (“Observatoire des Micro
Nanotechnologies”) for Optics.
Guillaume Girardin works as a Market
Technology Analyst for MEMS devices
and technologies at Yole Développement.
Guillaume holds a Ph.D. In Physics and
Nanotechnology from Claude Bernard
University Lyon 1 and a M.Sc. in Technology
and Innovation Management from EM Lyon
School of Business.

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