ADAS Sensors Global Market 2025-2035

1.1 Autonomous driving technologies
1.1.1 Automation Levels
1.1.2 Functions of autonomous driving
1.1.3 Sensors in autonomous vehicles
1.1.4 Roadmap
1.2 Sensors for ADAS and Autonomous Technologies
1.2.1 Sensor Requirements
1.2.2 Sensor Suite Costs
1.2.3 Front radar sensors
1.2.4 Side Radars
1.2.5 Vehicle Cameras
1.2.6 LiDARs in Automotive
1.3 Successful ADAS Implementation in Mass-Market Vehicles
1.4 Challenges Faced by OEMs in ADAS Integration
1.5 Innovative ADAS Solutions in Premium Vehicles
1.6 ADAS Performance in Real-World Conditions
1.7 Market Drivers
1.7.1 Safety Regulations and NCAP Requirements
1.7.2 Consumer Demand for Advanced Safety Features
1.7.3 Progress Towards Vehicle Autonomy
1.7.4 Cost Reductions in Sensor Technologies
1.8 Market Restraints
1.8.1 High Costs of Advanced ADAS Systems
1.8.2 Technical Challenges in Sensor Reliability
1.8.3 Consumer Trust and Acceptance Issues
1.8.4 Cybersecurity Concerns
1.9 Market Opportunities
1.9.1 Integration of ADAS with V2X Technologies
1.9.2 Aftermarket ADAS Solutions
1.9.3 ADAS in Commercial Vehicles and Fleets
1.9.4 Emerging Markets for ADAS Technologies
1.10 Market Challenges
1.11 Competitive landscape
1.11.1 Competitive Positioning of Key Players
1.11.2 Investment Trends in ADAS Technologies

2.1 Autonomous driving
2.1.1 Overview
2.1.2 Autonomous driving development in the industry
2.1.2.1 Evolutionary Approach
2.1.2.2 Revolutionary Approach
2.1.3 Position navigation technology
2.1.4 Electric Vehicles and Autonomy
2.1.5 Passive and Active Sensors
2.1.6 Sensor fusion
2.1.6.1 Evolution of Sensor Suite
2.1.6.2 Vison-only and Multi-sensor Fusion Approaches
2.1.6.3 Trends
2.1.6.4 Hybrid AI
2.1.6.5 Pure vision vs lidar sensor fusion
2.1.7 Optical 3D sensing
2.1.8 Multi-camera
2.1.8.1 Overview
2.1.8.2 Structured light
2.1.8.3 3D depth-aware imaging technologies
2.1.8.4 Resolution
2.1.9 Radar and lidar
2.1.10 Emerging Sensor Technologies
2.1.10.1 Event-based Cameras
2.1.10.2 Quantum Sensors
2.1.10.3 Metamaterial-based Sensors
2.1.10.4 Sensor-on-Chip Solutions
2.2 Importance of ADAS in Modern Vehicles
2.3 Key Players in the ADAS Supply Chain

3.1 Global ADAS Market Size and Growth
3.1.1 By type
3.1.2 By region
3.1.2.1 Regional ADAS Adoption Trends
3.2 Regulatory Landscape Driving ADAS Adoption
3.3 Impact of Autonomous Vehicle Development on ADAS Market

4.1 Overview of Key ADAS Sensor Types
4.1.1 Sensors in Autonomous Vehicles
4.1.1.1 Number of sensors
4.1.1.2 Cost
4.1.1.3 V2X, 5G, advanced digital mapping, and GPS in autonomous driving
4.1.1.3.1 V2X Communication
4.1.1.3.2 5G Networks
4.1.1.3.3 Advanced Digital Mapping
4.1.1.3.4 GPS in Autonomous Driving
4.1.2 Cameras
4.1.2.1 External Cameras
4.1.2.2 E-mirrors
4.1.2.3 Internal Cameras
4.1.2.4 Front camera
4.1.2.5 RGB/Visible light camera
4.1.2.6 CMOS image sensors
4.1.2.6.1 Front vs backside illumination
4.1.2.6.2 Image capture
4.1.2.6.2.1 Rolling Shutter
4.1.2.6.2.2 Global Shutter
4.1.2.6.3 Companies
4.1.2.7 IR Cameras
4.1.2.8 Driver Monitoring Systems (DMS) and Occupant Monitoring Systems (OMS)
4.1.2.8.1 Overview
4.1.2.8.2 2D Cameras
4.1.2.8.3 3D Cameras
4.1.2.8.3.1 ToF Cameras
4.1.2.8.3.2 Occupant Monitoring System (OMS) cameras
4.1.2.8.3.3 Flash LiDAR
4.1.2.8.4 NIR/IR Imaging
4.1.2.8.4.1 IR cameras/sensors
4.1.2.8.4.2 Infrared (IR) in DMS
4.1.2.8.4.3 Thermal Cameras in Autonomous Vehicles
4.1.2.8.4.4 Short-Wave Infra-Red (SWIR) Imaging
4.1.2.8.4.5 VCSEL
4.1.2.8.4.6 Market for IR Cameras
4.1.2.8.4.7 Costs
4.1.2.8.5 Eye Movement Tracking
4.1.2.8.5.1 Overview
4.1.2.8.5.2 Event-Based Vision for Eye-Tracking
4.1.2.8.6 Brain Function Monitoring
4.1.2.8.6.1 Overview
4.1.2.8.6.2 Magnetoencephalography
4.1.2.8.7 Cardiovascular Metrics
4.1.2.9 E-mirrors
4.1.2.10 Companies
4.1.3 Radar
4.1.3.1 Radar in Autonomous Vehicles
4.1.3.1.1 Localization
4.1.3.1.2 Radar mapping
4.1.3.1.3 Waveforms
4.1.3.1.4 Frequencies
4.1.3.2 Front Radar
4.1.3.3 Side Radars
4.1.3.4 Components
4.1.3.5 Radar trends
4.1.3.5.1 Imaging
4.1.3.5.2 Resolution
4.1.3.5.3 Automotive radar boards
4.1.3.5.4 Volume and Footprint
4.1.3.5.5 Packaging and Performance
4.1.3.5.6 Increasing Range
4.1.3.5.7 Field of View
4.1.3.5.8 Virtual Channel Count
4.1.3.5.8.1 Digital Beamforming (DBF)
4.1.3.5.8.2 Sparse Array Designs
4.1.3.6 In-Cabin Radars
4.1.3.7 4D Radars and Imaging Radars
4.1.3.7.1 Overview
4.1.3.7.2 Commerical examples
4.1.3.7.3 Drivers for 4D and imaging radars
4.1.3.7.4 Approaches to Achieve 4D Imaging Radar Capabilities
4.1.3.8 Transceivers
4.1.3.8.1 Commercial examples
4.1.3.8.2 Transceiver technology evolution
4.1.3.8.2.1 CMOS
4.1.3.8.2.2 SiGe BiCMOS
4.1.3.8.2.3 FD-SOI
4.1.3.9 Radomes
4.1.3.9.1 Overview
4.1.3.9.2 Materials
4.1.3.9.2.1 Dielectric Constant
4.1.3.9.2.2 Loss Tangent
4.1.3.9.3 Commercial examples
4.1.3.10 Antennas
4.1.3.10.1 Designs
4.1.3.10.2 Phased Array Antennas
4.1.3.10.3 Metamaterials
4.1.3.10.4 3D Printed Antennas
4.1.3.11 Semiconductors
4.1.3.12 Companies
4.1.3.13 Markets for Radar
4.1.3.14 Radar versus LiDAR
4.1.4 LiDAR
4.1.4.1 Automotive LiDAR
4.1.4.1.1 Operating process
4.1.4.1.2 Requirements
4.1.4.2 LiDAR systems
4.1.4.2.1 Commercialization
4.1.4.2.2 Automotive LiDAR Supply Chain
4.1.4.2.3 Pricing and costs
4.1.4.3 Lidar integration in ADAS/AV
4.1.4.3.1 Lamps
4.1.4.3.2 Grille
4.1.4.3.3 On/In the Roof
4.1.4.3.4 Other Positions
4.1.4.4 LiDAR Certification
4.1.4.5 2D vs 3D lidar
4.1.4.6 Ranging and photodetection
4.1.4.6.1 Direct TOF
4.1.4.6.2 Indirect TOF
4.1.4.7 Frequency Modulated Continuous Wave (FMCW) and Pseudo-Random Noise Modulated Continuous Wave (PMCW)
4.1.4.8 Beam steering
4.1.4.8.1 Mechanical Lidar
4.1.4.8.2 MEMS Lidar
4.1.4.8.2.1 Commercial MEMS-based LiDAR systems
4.1.4.8.3 Flash lidar
4.1.4.8.4 Optical phased array (OPA) Lidar
4.1.4.8.4.1 Overview
4.1.4.8.4.2 Approaches
4.1.4.8.5 Other technologies
4.1.4.8.5.1 Spectral deflection
4.1.4.8.5.2 Micro-motion technology
4.1.4.8.5.3 Liquid crystal lidar
4.1.4.8.5.4 Metamaterials
4.1.4.8.5.5 GLV-based beam steering
4.1.4.8.5.6 Liquid lens
4.1.4.8.5.7 Electro-Optical Deflectors
4.1.4.8.5.8 Acousto-optical deflectors
4.1.4.9 Lasers
4.1.4.9.1 IR emitters
4.1.4.9.2 Edge-emitting lasers (EEL)
4.1.4.9.3 Vertical-cavity surface-emitting lasers (VCSEL)
4.1.4.9.4 External cavity & quantum cascade lasers (QCL)
4.1.4.9.5 Fiber lasers
4.1.4.9.5.1 Laser Source Wavelengths
4.1.4.9.5.2 Fiber Amplifiers
4.1.4.9.6 Diode-pumped solid-state lasers (DPSSL)
4.1.4.10 Receivers
4.1.4.11 Signal and data analysis/processing
4.1.4.11.1 Point cloud
4.1.4.11.1.1 3D Point Cloud Modeling
4.1.4.11.1.2 Reflection Complication
4.1.4.11.1.3 Background Noise & Interference
4.1.4.11.1.4 TOF LiDAR's Spatial Data Analysis
4.1.4.11.1.5 FMCW LiDAR data processing
4.1.4.12 Lidar cleaning
4.1.4.12.1 Overview
4.1.4.12.2 Types
4.1.4.13 LiDAR challenges
4.1.4.14 Companies
4.2 ADAS Controllers and ECUs
4.2.1 Role of ADAS Controllers and ECUs in Autonomous Driving
4.2.2 ADAS Controllers: Functions and Technologies
4.2.2.1 Core Functions of ADAS Controllers
4.2.2.2 Key Technologies in ADAS Controllers
4.3 Key Technologies in ADAS Controllers
4.3.1.1 ADAS Controller Architectures
4.3.1.2 Types of ECUs in Autonomous Vehicles
4.3.1.2.1 ECU Integration and Communication
4.3.2 Thermal Management
4.3.2.1 Thermal Management Strategies
4.3.2.2 Emerging Technologies in Thermal Management
4.3.2.3 Thermal Interface Materials in ECUs
4.3.2.4 Commercial solutions
4.3.3 Challenges in ADAS Controllers and ECUs for Autonomous Driving
4.3.4 Future Trends and Developments
4.3.4.1 Advanced AI and Machine Learning
4.3.4.2 Edge Computing and Distributed Intelligence
4.3.4.3 Software-Defined Vehicles
4.3.4.4 Integration of V2X Communication
4.3.4.5 Future Trends
4.4 Emerging Sensor Technologies
4.4.1 Event-based Vision
4.4.1.1 Data
4.4.1.2 Event-based Sensing
4.4.2 Quantum Dot Optical Sensors
4.4.2.1 Properties
4.4.2.2 Infrared (IR) and near-infrared (NIR) sensing
4.4.2.3 Commercial examples
4.4.3 Hyperspectral Imaging

5.1 Global Tier-1 Market Share Analysis
5.2 Overall ADAS Sensor Market Share
5.3 Regional Market Share Variations
5.4 Front Camera Market Share
5.4.1 Leading Suppliers and Their Market Positions
5.4.2 Technology Differentiators Among Top Players
5.4.3 OEM Partnerships and Supply Agreements
5.5 Driver Monitoring Systems (DMS) / Occupant Monitoring Systems (OMS) Market Share
5.5.1 Key Players in the DMS/OMS Space
5.6 Technological Advancements Driving Market Growth
5.7 Regulatory Impacts on DMS/OMS Adoption
5.8 LiDAR Market Share
5.8.1 Current Market Leaders in Automotive LiDAR
5.8.2 Emerging Players and Disruptive Technologies
5.8.3 LiDAR Adoption Trends Among OEMs
5.9 Radar Market Share
5.9.1 Market Players in Automotive Radar
5.9.1.1 All Radar
5.9.1.2 Front Radar
5.9.1.3 Side Radar
5.9.1.4 Regional trends
5.9.1.5 Commercial radar models
5.9.1.6 Future Trends
5.9.1.7 Challenges
5.9.2 Imaging Radar vs. Traditional Radar Market Dynamics
5.9.2.1 Trends
5.9.2.2 Packaging and Integration Trends
5.9.3 Frequency Trends (24GHz, 77GHz, 79GHz)
5.10 Other ADAS Sensors
5.10.1 Ultrasonic Sensors
5.10.2 Infrared Sensors
5.10.3 GNSS and IMU Suppliers
5.11 ADAS Controllers and ECUs Market Share
5.11.1 Leading Suppliers of ADAS Computing Platforms
5.11.2 Trends in Centralized vs. Distributed ADAS Architectures
5.12 Analysis of Major Tier-1 Suppliers

6.1 Advancements in Camera Technology
6.1.1 High-Resolution Sensors
6.1.2 Wide Dynamic Range (WDR) Capabilities
6.1.3 Low-Light Performance Improvements
6.1.4 AI-Enhanced Image Processing
6.2 Radar Technology Evolution
6.2.1 4D Imaging Radar
6.2.2 High-Resolution Radar
6.2.3 Software-Defined Radar
6.3 LiDAR Innovations
6.3.1 Solid-State LiDAR
6.3.2 MEMS-based LiDAR
6.3.3 FMCW LiDAR
6.3.4 Cost Reduction Strategies
6.4 Sensor Fusion Advancements
6.4.1 Multi-Sensor Data Fusion Algorithms
6.4.2 Edge Computing for Sensor Fusion
6.4.3 AI and Machine Learning in Sensor Fusion
6.5 ADAS Controller Innovations
6.5.1 High-Performance Computing Platforms
6.5.2 Domain Controllers
6.5.3 Zonal Architecture Trends

7.1 Market Forecast (2024-2035)
7.1.1 Market Size Projections
7.1.1.1 By Sensor Type
7.1.1.2 Robotaxis
7.1.1.3 By Units
7.1.1.3.1 Cameras
7.1.1.3.2 Radar
7.1.1.3.3 LiDAR
7.1.2 Regional Growth Forecasts
7.1.3 Expected Technology Adoption Rates
7.2 Impact of Autonomous Vehicle Development on ADAS Market
7.3 Potential Disruptive Technologies and Their Impact

8.1 Global ADAS-Related Regulations
8.1.1 Legislation for autonomous vehicles
8.1.1.1 Europe
8.1.1.2 US
8.1.1.3 China
8.1.1.4 Japan
8.1.2 Driver Monitoring Systems (DMS)
8.2 Future Regulatory Trends and Their Impact on the Market

10.1 Research Methodology
10.2 List of Abbreviations

Table 1. Automation Levels
Table 2. Functions of Autonomous Driving at Different Levels
Table 3. "Big Three" sensors used in Advanced Driver Assistance Systems (ADAS)
Table 4. Sensor Requirements for Different Levels of Autonomy
Table 5. Sensor Suite for Autonomous Cars-Costs
Table 6. Estimated Sensor Suite Costs for Different Levels of Autonomy
Table 7. Front Radar Applications in ADAS
Table 8. Vehicle Camera Applications in ADAS
Table 9. LiDAR Types and Characteristics
Table 10. LiDAR Applications in Automotive Systems
Table 11. Examples of advanced safety features in mainstream models
Table 12. Challenges Faced by OEMs in ADAS Integration
Table 13. Innovative ADAS Solutions in Premium Vehicles
Table 14. ADAS Performance in Real-World Conditions
Table 15. Market drivers for ADAS sensors
Table 16. Safety Regulations and NCAP Requirements
Table 17. Cost reductions in key sensor technologies
Table 18. Market Restraints for ADAS sensors
Table 19. Costs of Advanced ADAS Systems
Table 20. Technical Challenges in Sensor Reliability
Table 21. Market opportunities in ADAS sensors
Table 22. ADAS in Commercial Vehicles and Fleets
Table 23. Emerging Markets for ADAS Technologies
Table 24. Market challenges in ADAS sensors
Table 25. Emerging Players and Startups in the ADAS Ecosystem
Table 26. Key autonomous driving technologies
Table 27. Position navigation technologies
Table 28. Autonomous driving sensor comparison
Table 29. Recommended Sensor Suites For SAE Level 2 to Level 4 & Robotaxi
Table 30. Sensor Fusion Technology Trends for Applications
Table 31. Pure vision vs lidar sensor fusion
Table 32. Pure vision solution challenges
Table 33. Optical 3D sensing methods
Table 34. Automotive camera hardware
Table 35. 3D depth-aware imaging technologies
Table 36. General resolution requirements for different sensors and applications
Table 37. ADAS/AV sensor operating wavelength
Table 38. Radar hardware
Table 39. ADAS/AV hardware challenges
Table 40. Key Players in the ADAS Supply Chain
Table 41. Global market for ADAS sensors 2022-2035 (by type), billions USD
Table 42. Global market for ADAS sensors 2022-2035 (by type), billions USD
Table 43. Regional ADAS Adoption Trends
Table 44. Regulatory Landscape Driving ADAS Adoption
Table 45. No. of Sensors Required for Autonomous Cars - Level 0 to Level 4 and Robotaxis/
Table 46. Estimated Cost Range of Sensors for Autonomous Vehicles (in USD)
Table 47.Vehicle camera applications in a table:
Table 48. ADAS Camera Sensors vs Radar Sensors vs Lidar Sensors
Table 49. CMOS image sensors vs CCD cameras
Table 50. Advantages and disadvantages of IR Cameras
Table 51. Applications of DMS
Table 52. Sensing Technologies by Features
Table 53. Technology Comparison of Radar, ToF and IR Cameras
Table 54. Comparison of In-Cabin Sensing Technologies
Table 55. 3D Imaging Systems
Table 56. 3D imaging systems
Table 57. IR VS. VCSEL Light Sources
Table 58. Comparative analysis of LEDS and VCSEL
Table 59. Applications of IR Imaging
Table 60.Companies in VCSEL
Table 61. Average IR Camera Per Passenger Car: 2020-2035
Table 62. Global Market for IR Cameras for Passenger Cars 2020-2035 (Million Units)
Table 63. Global Market for IR Cameras, 2020-2035 (US$ Millions)
Table 64. Cost per IR Camera for DMS, 2020-2035 (US$)
Table 65. Eye-Tracking Sensor Categories
Table 66. Eye-tracking companies
Table 67. Event-Based Vision: Pros and Cons
Table 68. Market players in cameras and thermal cameras
Table 69. Main Methods of Localization
Table 70. Front Radar ADAS Applications
Table 71. Side Radar ADAS Applications
Table 72. Key Radar Components
Table 73. Comparison of In-Cabin Radars
Table 74. Comparing 4D imaging radar systems
Table 75. Vehicles Using 4D Imaging Radars
Table 76. Transceiver suppliers
Table 77. Typical supply chain for automotive radar transceivers
Table 78. Additional participants in the supply chain
Table 79. Key Radome Material Suppliers
Table 80. Phased array antenna
Table 81. Market players in automotive radar
Table 82. Global Volume Sales of Radar: 2020-2035 (in millions)
Table 83. Radar Per Vehicle 2020-2035
Table 84. Cost per In-Cabin Radar (in USD) 2020-2035
Table 85. Market Size for In-Cabin Radar: 2020-2035 (in billion USD)
Table 86. Number of Radars Shipped per Vehicle, 2020-2035
Table 87. Number of Radars Used in SAE Levels 0, 1 & 2
Table 88. Global Radar Unit Sales for Different SAE Levels 2020-2035 (Million Units)
Table 89.Global Revenues From Radar by SAE Level 2020-2035 (Billion USD)
Table 90. Radar versus LiDAR
Table 91. LiDAR classifications
Table 92.Comparison of lidar product parameters
Table 93. Automotive lidar players by technology
Table 94. Cost Reduction Approaches for LiDAR systems
Table 95. BOM cost for LiDAR
Table 96. Typical price composition for LiDAR system
Table 97. Forecast for LiDAR Unit Price by Technology to 2030
Table 98. 2D versus 3D LiDAR
Table 99. Time of Flight (TOF) vs. Frequency Modulated Continuous Wave (FMCW)
Table 100. Direct ToF and Indirect ToF
Table 101. Comparison of TOF and FMCW LiDAR technologies
Table 102. LiDAR beam steering technologies
Table 103. Classifications of MEMS Scanner
Table 104. Comparative analysis of different MEMS actuation methods:
Table 105. Optical phased array (OPA) Lidar
Table 106. Technology options for laser illumination
Table 107. Comparing laser choices based on key parameters
Table 108. IR emitter technologies
Table 109. EEL vs VCSEL Comparison
Table 110. Wavelength Comparison: 905 nm vs 1550 nm
Table 111. Comparison of Common Laser Type & Wavelength Options
Table 112. Photodetector Choice for LiDAR
Table 113. LiDAR Detector Comparison
Table 114. Comparison of Common Photodetectors
Table 115. LiDAR Detector Companies
Table 116. LiDAR Signal Applications
Table 117. TOF LiDAR's Spatial Data Analysis
Table 118. LiDAR challenges
Table 119. Automotive LiDAR players
Table 120. Core Functions of ADAS Controllers
Table 121. ADAS Controller Architectures
Table 122. Types of ECUs in Autonomous Vehicles
Table 123. Thermal Conductivity of TIMs in ECUs/Computers
Table 124. Typical operating temperature ranges for different types of TIMs used in ECUs
Table 125. Typical density and thermal conductivity ranges for various TIMs used in ECUs
Table 126. TIM market for ECUs/ADAS computers 2020-2035 (Millions USD)
Table 127. Challenges in ADAS Controllers and ECUs for Autonomous Driving
Table 128. Event-based sensing: Pros and cons
Table 129. Top 10 Tier-1 Suppliers by Revenue 2023
Table 130. Leading Suppliers and Their Market Positions
Table 131. Technology Differentiators Among Top Players
Table 132. OEM Partnerships and Supply Agreements
Table 133. Key Players in the DMS/OMS Space
Table 134. Technological Advancements Driving Market Growth
Table 135. Current Market Leaders in Automotive LiDAR
Table 136. Emerging Players and Disruptive Technologies
Table 137. LiDAR Adoption Trends Among OEMs
Table 138.Tier One Market Share by Volume (All Radar)
Table 139. Tier One Market Share by Revenue (All Radar)
Table 140. Tier One Market Share by Revenue (Front Radar)
Table 141.Top OEM Front Radar Choices
Table 142. Tier One Market Share by Revenue - Side Radar
Table 143. Top OEM Side Radar Choices
Table 144. Emerging Radar Players
Table 145. Imaging Radar vs. Traditional Radar Market Dynamics
Table 146. Main Players in Ultrasonic Sensors
Table 147. Main Players in Infrared Sensors
Table 148. Main Players in GNSS Receivers and IMUs
Table 149. Leading Suppliers of ADAS Computing Platforms
Table 150. Trends in Centralized vs. Distributed ADAS Architectures
Table 151. Key LiDAR cost reduction strategies
Table 152. Global market size for autonomous vehicles by SAE level from 2022-2035 (Millions)
Table 153. Global Market Size Projections by Sensor Type, Millions USD, 2024-2035
Table 154. Global Market Size Projections by Sensor Type, Million Units, 2024-2035,
Table 155.Robotaxi Service Revenue 2024-2035 (in million USD)
Table 156. Market Size Projections: Cameras, Million Units, 2024-2035
Table 157. Market Size Projections: Radar, Million Units, 2024-2035
Table 158. Radar Unit Sales by SAE Levels 2022-2035 (in millions)
Table 159. Global Market Size Projections: LiDAR, Million Units, 2024-2035
Table 160. Global Market Size Projections by Region, Millions USD, 2024-2035
Table 161. Expected Technology Adoption Rates for ADAS
Table 162. Global ADAS-Related Regulations
Table 163. Regional Variations in ADAS Requirements
Table 164. Common abbreviations used in the ADAS (Advanced Driver Assistance Systems) sensors market

Figure 1. Autonomous vehicles
Figure 2. Roadmap of Autonomous Driving Functions in Private Cars
Figure 3. Evolution of Sensor Suites
Figure 4. Automotive 3D sensing
Figure 5. Evolution of ADAS availability
Figure 6.. Autonomous Driving Integration with V2X
Figure 7.Types of ADAS sensors
Figure 8. Perception and sensing for autonomous vehicles under adverse weather conditions
Figure 9. Global market for ADAS sensors 2022-2035 (by type), billions USD
Figure 10. Global market for ADAS sensors 2022-2035 (by type), billions USD
Figure 11. Toyota external camera
Figure 12. Side E-Mirror
Figure 13. Internal ADAS camera
Figure 14. RGB Cameras for Autonomous Vehicles
Figure 15. Front vs backside illumination
Figure 16. OmniVision Global Shutter Sensor chip
Figure 17. ADAS thermal camera images
Figure 18. Driver Monitoring System
Figure 19. Driver Monitoring Systems (DMS) with S32V234 Vision Processor
Figure 20. Infineon DMS - REAL3™ ToF Imager IRS2877A(S)
Figure 21. Exploded view of Magna's driver monitoring system built into a rearview mirror
Figure 22. LG Innotek ToF Camera for DMS
Figure 23. PreAct Mojave Flash LiDAR for OMS
Figure 24. ADAS/AV Thermal Camera
Figure 25. TriEye
Figure 26. LANXESS Concept Radar
Figure 27. OPMobility Functionalized Bumper
Figure 28. Echodyne metamaterial radar mounted on automobile
Figure 29. Lunewave 3D printed radar
Figure 30. LiDAR working principle
Figure 31. Automotive lidar supply chain
Figure 32. Metamaterials in automotive applications
Figure 33. Lumotive advanced beam steering concept
Figure 34. Illustration of EchoDrive operation
Figure 35. Emberion Sensor
Figure 36. Global market size for autonomous vehicles by SAE level from 2022-2035 (Millions)
Figure 37. Market Size Projections: Cameras, Million Units, 2024-2035
Figure 38. Market Size Projections: Radar, Million Units, 2024-2035
Figure 39. Radar Unit Sales by SAE Levels 2022-2035 (in millions)
Figure 40. Global Market Size Projections: LiDAR, Million Units, 2024-2035
Figure 41. Market Size Projections by Region, Millions USD, 2024-2035
Figure 42. Continental ARS540
Figure 43. Schematic of MESA System
Figure 44. EchoGuard Radar System
Figure 45. (Hesai AT512 LiDAR)
Figure 46. Koito Manufacturing LiDAR
Figure 47. LIDAR system for autonomous vehicles
Figure 48. Light-control metasurface beam-steering chips