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Occupant Monitoring Systems (OMS) Market Size, Share, & Forecast by Sensor Modality (Camera, Radar, Thermal), AI Algorithm (Child Presence, Occupant Size), Safety Application, and Vehicle Segment - Global Forecast to 2036
Report ID: MRAUTO - 1041647 Pages: 220 Jan-2026 Formats*: PDF Category: Automotive and Transportation Delivery: 24 to 72 Hours Download Free Sample ReportThe global occupant monitoring systems (OMS) market is expected to reach USD 9.45 billion by 2036 from USD 1.52 billion in 2026, at a CAGR of 20.1% from 2026 to 2036.
Occupant Monitoring Systems (OMS) are cabin sensing technologies that detect, classify, and monitor all vehicle occupants in real time. They aim to improve passenger safety, optimize airbag deployment, and prevent child endangerment. These AI-powered systems use advanced sensors including cameras, radar, thermal imaging, and pressure sensors to track occupant presence, position, size classification, and physical condition throughout the vehicle cabin. OMS can identify if a child is in the rear seats, detect unattended occupants, classify occupant size for airbag optimization, monitor seatbelt usage, and assess occupant posture. The system provides real-time alerts and interventions such as warnings for forgotten children, airbag suppression for out-of-position occupants, and emergency notifications. This helps ensure safety for all passengers.
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Occupant Monitoring Systems are an important step forward in automotive safety technology. They protect not just the driver but all vehicle occupants by using cabin sensors. These smart systems act as vigilant guardians of the entire car interior. They constantly monitor who is inside, determine their classification, and check their condition to prevent tragedies and improve safety measures. By using sensor fusion technology and deep learning algorithms, OMS creates a safety ecosystem that tackles various critical cabin safety issues. These include preventing hot car deaths, improving airbag deployment, detecting unattended children, and ensuring proper use of restraints.
Several significant trends are changing the occupant monitoring systems market. These include stricter global safety rules that require child presence detection, rapid progress in multi-modal sensing and AI classification algorithms, the integration of OMS with vehicle access control and climate systems, and the shift from basic presence detection to complete wellness monitoring. The combination of regulatory pressure, technological advancements, greater awareness of preventable child deaths, and the move toward smart vehicle cabins has made OMS a vital part of modern vehicle safety.
The occupant monitoring systems market is shifting toward more advanced, whole-cabin sensing methods and better AI-driven classification. Today's OMS solutions go beyond simple presence detection. They give thorough assessments of all occupants by including detailed size classification, position monitoring, vital signs detection, and behavioral analysis. Using a range of sensors—like RGB and IR cameras, mmWave radar, thermal sensors, capacitive seat sensors, and weight distribution systems—enables accurate and complete cabin monitoring, even in tough conditions.
AI and machine learning are progressing quickly. This development lets OMS systems move from basic detection to advanced classification systems. These systems can reliably tell apart children, adults, pets, and objects while considering factors like clothing, car seats, and occupant posture. Deep learning algorithms can even pick up subtle signs of occupant distress, unusual vital signs, and forgotten children while keeping false positives minimal.
Regulations are driving significant market growth. Major automotive markets are rolling out mandatory OMS requirements aimed at child safety. The European Union's General Safety Regulation mandates child presence detection and door opening warning systems in all new vehicles, creating immediate market demand. Similar regulations are appearing worldwide. The U.S. Hot Cars Act is moving federal requirements forward, while Asian markets are introducing similar child safety laws.
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Parameter |
Details |
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Market Size Value in 2026 |
USD 1.52 Billion |
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Revenue Forecast in 2036 |
USD 9.45 Billion |
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Growth Rate |
CAGR of 20.1% from 2026 to 2036 |
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Base Year for Estimation |
2025 |
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Historical Data |
2021–2025 |
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Forecast Period |
2026–2036 |
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Quantitative Units |
Revenue in USD Billion and CAGR from 2026 to 2036 |
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Report Coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
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Segments Covered |
Sensor Modality, AI Algorithm, Safety Application, Vehicle Segment, Integration Level, Region |
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Regional Scope |
North America, Europe, Asia-Pacific, Latin America, Middle East & Africa |
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Countries Covered |
U.S., Canada, Germany, U.K., France, Italy, Spain, Sweden, China, Japan, South Korea, India, Australia, Brazil, Mexico, Saudi Arabia, UAE, South Africa |
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Key Companies Profiled |
Bosch GmbH, Continental AG, Denso Corporation, Valeo SA, Aptiv PLC, Magna International Inc., Visteon Corporation, Seeing Machines Limited, Smart Eye AB, Cipia Vision Ltd., Jungo Connectivity Ltd., Eyeris Technologies Inc., Hyundai Mobis Co. Ltd., LG Innotek Co. Ltd., Panasonic Automotive Systems Co. Ltd., Gentex Corporation, Faurecia SE (FORVIA), Harman International (Samsung Electronics), ZF Friedrichshafen AG, Infineon Technologies AG |
The convergence of OMS with connected vehicle technologies is opening new applications and market opportunities. Modern systems can communicate with emergency services when unattended occupants are detected, integrate with vehicle climate control to prevent dangerous temperature exposure, and connect with parental smartphone applications for alerts. This connectivity enables proactive interventions, data-driven safety improvements, and new service models centered around family safety and peace of mind.
Integration with vehicle access and personalization systems is expanding OMS capabilities beyond traditional safety functions. Advanced systems can identify regular occupants, adjust vehicle settings automatically, and even monitor passenger wellness during travel. This creates opportunities for enhanced user experience alongside core safety benefits.
Driver: Stringent Global Child Safety Regulations and Mandates
Regulatory requirements focused on preventing child hot car deaths are driving the quick adoption of OMS in automotive markets around the world. The European Union's General Safety Regulation (GSR), which takes effect in July 2024, requires child presence detection systems and rear door opening warning systems in all new vehicle types. This regulation creates strong market demand for OMS technology. It requires systems that can detect children left in vehicles and provide alerts through sound, visual signals, and connected notifications. Other markets are launching similar initiatives. In the United States, the Hot Cars Act would mandate rear-seat reminder systems and child detection technology. The Euro NCAP safety rating system has added child presence detection to its assessment protocols. This encourages automakers to use advanced OMS for better safety ratings and to stand out in the market.
Driver: Rising Awareness of Preventable Child Hot Car Deaths
Growing awareness of pediatric vehicular heatstroke as a preventable tragedy is increasing the demand for technological solutions. Safety organizations report that an average of 38 children die each year in the United States from heatstroke after being left or trapped in hot vehicles. These deaths affect all demographic groups and often involve caring parents who experience memory lapses or disruptions to their routines. The heartbreaking nature of these preventable deaths has raised public awareness and sparked strong consumer demand for technology to prevent such incidents. Automakers are taking action by voluntarily adding OMS features even before regulations require them. They see both a moral responsibility and a market advantage in providing comprehensive cabin safety systems.
Opportunity: Integration with Autonomous Vehicle Development
The rise of autonomous vehicles offers significant growth opportunities for advanced OMS technology. As vehicles aim for higher levels of autonomy, thorough occupant monitoring becomes crucial for passenger safety, especially in situations without active drivers. OMS plays a key role in monitoring passenger well-being, ensuring proper seatbelt use, detecting medical emergencies, and managing vehicle access in shared autonomous scenarios. This need extends to robotaxis, shared mobility services, and autonomous shuttles, where monitoring passengers without driver oversight is essential. The rapid growth of these services creates long-term demand for more sophisticated OMS solutions that can guarantee passenger safety and security.
Opportunity: Expansion Beyond Safety into Wellness and Personalization
The occupant monitoring systems market is moving beyond basic safety uses to include wellness monitoring and vehicle personalization. Advanced OMS can track passenger vital signs, identify motion sickness, gauge comfort levels, and adjust cabin conditions accordingly. This opens up opportunities for better user experiences, especially in premium vehicles and mobility services. Integrating with healthcare systems and family wellness platforms creates additional market opportunities. The ability to provide personalized vehicle experiences based on who is in the vehicle and their preferences adds value beyond just meeting regulations. It allows OMS to become a unique feature that boosts vehicle appeal and customer satisfaction.
By Sensor Modality:
In 2026, the camera-based segment is expected to have the largest share of the overall occupant monitoring systems market. Camera systems, especially those using infrared and RGB imaging, are great at monitoring the cabin. They can detect, classify, and track multiple occupants at the same time across different seating zones. These sensors can identify occupant size, detect child safety seats, monitor occupant position and posture, and evaluate various safety-critical conditions accurately. The technology’s flexibility allows a single camera system to meet many monitoring needs, making it cost-effective for car manufacturers. Computer vision algorithms enable accurate classification even in tough lighting and different cabin setups.
The radar sensor segment is expected to grow significantly during the forecast period because it can detect presence and vital signs through clothing and car seat materials without needing a direct line of sight. Radar systems are especially good at detecting occupant breathing and heartbeat patterns, which makes them useful for identifying sleeping or unconscious occupants who might not move noticeably. The radar sensing technology does not capture identifiable images, which helps with consumer privacy while still being effective for safety.
The thermal imaging segment is emerging as a useful complementary technology, especially for detecting occupants in extreme temperatures and watching for signs of heat stress or hypothermia. Thermal sensors detect occupant presence based on body heat, providing backup and improved reliability in important safety situations.
By AI Algorithm:
The child presence detection segment is expected to have the largest share of the overall market in 2026. Preventing pediatric vehicular heatstroke and child entrapment is the top regulatory priority and consumer safety concern in cabin monitoring. AI algorithms analyze several data streams to reliably detect children in rear seats. They can differentiate between children and items like shopping bags or pet carriers, identify child safety seats, and maintain detection even when children are asleep or covered with blankets. Machine learning models trained on large datasets minimize false positives while ensuring no genuine child presence is missed, triggering appropriate alerts to drivers through in-vehicle messages, smartphone notifications, and even emergency services in urgent situations.
The occupant size classification segment is growing rapidly because it plays a key role in intelligent restraint system deployment. AI algorithms classify occupants into categories (infant, child, small adult, large adult) to optimize airbag deployment force, decide on proper restraint activation, and ensure maximum protection while reducing injury risk. This classification needs to happen accurately and in real-time across different seating positions and occupant postures.
The occupant position monitoring segment focuses on the essential safety need to detect out-of-position occupants who may be at risk during airbag deployment. AI systems continuously track occupant posture, distance from airbag deployment zones, and body position to allow for dynamic restraint optimization and warnings for unsafe positioning.
By Safety Application:
The child presence detection and alert segment is likely to dominate the market in 2026, driven by regulatory needs and public safety concerns. This application covers rear-seat reminder systems, active child detection when leaving the vehicle, door opening warnings when children are present, and temperature-based escalation procedures. The system must reliably detect children, provide appropriate warnings, and increase interventions based on cabin conditions and the time since the driver left the vehicle.
The airbag deployment optimization segment is growing as cars move toward more advanced restraint systems. Modern intelligent airbag systems require precise occupant classification and position monitoring to adjust deployment settings for best protection. This includes turning off airbags for rear-facing child seats, adjusting deployment force based on occupant size and position, and coordinating multiple restraint systems for complete protection.
The unattended occupant detection segment deals with situations where any occupant (children, elderly passengers, pets) is left in the vehicle after the driver exits. This application is becoming more important as vehicles gain remote locking features and extreme weather events become more common. The system needs to detect any living occupant, evaluate environmental conditions, and provide suitable alerts or interventions.
By Vehicle Segment:
As regulatory requirements and consumer demand for safety features grow, the passenger vehicle segment is expected to have the largest share in 2026. European regulations requiring child presence detection in all new passenger cars have sparked immediate market demand. Automakers across all price ranges are implementing occupant monitoring systems (OMS). Premium vehicle manufacturers have developed advanced multi-zone cabin monitoring systems with safety and comfort features. Meanwhile, mass-market manufacturers are rapidly scaling up their implementations to meet regulations and stay competitive.
The electric vehicle segment is set to experience exceptional growth during the forecast period. EV manufacturers often market their vehicles as cutting-edge and safety-focused, making cabin monitoring a standard feature. The cabin design of EVs, with improved electrical systems and computing power, supports advanced OMS. Moreover, concerns about the energy efficiency of battery-powered climate control make monitoring cabin occupants especially important for optimizing energy use while ensuring safety.
The autonomous and semi-autonomous vehicle segment is likely to be a major growth driver in the future. These vehicles will require thorough occupant monitoring for passenger safety, security, and service quality. Shared autonomous vehicles and robotaxis will need strong OMS to ensure passenger safety without driver supervision, detect security threats, and uphold service standards.
Regional Insights:
In 2026, Europe is projected to hold the largest share of the global occupant monitoring systems market. This leadership comes from strict regulations requiring child presence detection and comprehensive cabin safety systems in all new vehicles, a strong automotive safety culture, and premium manufacturers that focus on safety technologies. The influence of Euro NCAP safety ratings also speeds up OMS adoption. Germany leads the region due to its concentration of premium automakers like BMW, Mercedes-Benz, Audi, and Porsche, which have pioneered cabin sensing technologies and continue to innovate in whole-cabin monitoring solutions.
The Asia-Pacific region is anticipated to grow at the highest rate during the forecast period. This growth is fueled by rapidly increasing automotive production, a growing middle class wanting better safety features, heightened government focus on child safety and reducing traffic fatalities, and the significant shift to electric vehicles featuring the latest cabin sensing technologies. China, as the largest automotive market, will be the main driver of regional growth, supported by government initiatives promoting intelligent connected vehicles and comprehensive safety systems. Japan and South Korea will also contribute significantly with their advanced automotive industries and key OMS technology suppliers.
North America is a substantial market driven by increasing child safety awareness, proactive voluntary adoption by automakers preparing for federal regulations, strong consumer interest in family-oriented safety features, and the presence of major tech companies developing AI and sensor solutions for cabin monitoring. In the United States, the advancing Hot Cars Act legislation is building regulatory momentum. Organizations like the Insurance Institute for Highway Safety (IIHS) and NHTSA provide guidance and incentives for OMS implementation.
Key Players:
The major players in the occupant monitoring systems market include Bosch GmbH (Germany), Continental AG (Germany), Denso Corporation (Japan), Valeo SA (France), Aptiv PLC (Ireland), Magna International Inc. (Canada), Visteon Corporation (U.S.), Seeing Machines Limited (Australia), Smart Eye AB (Sweden), Cipia Vision Ltd. (Israel), Jungo Connectivity Ltd. (Israel), Eyeris Technologies Inc. (U.S.), Hyundai Mobis Co. Ltd. (South Korea), LG Innotek Co. Ltd. (South Korea), Panasonic Automotive Systems Co. Ltd. (Japan), Gentex Corporation (U.S.), Faurecia SE (FORVIA) (France), Harman International (Samsung Electronics) (South Korea), ZF Friedrichshafen AG (Germany), and Infineon Technologies AG (Germany), among others.
The AI-powered occupant monitoring systems market is expected to grow from USD 1.52 billion in 2026 to USD 9.45 billion by 2036.
The occupant monitoring systems market is expected to grow at a CAGR of 20.1% from 2026 to 2036.
The major players in the occupant monitoring systems market include Bosch GmbH, Continental AG, Denso Corporation, Valeo SA, Aptiv PLC, Magna International Inc., Visteon Corporation, Seeing Machines Limited, Smart Eye AB, Cipia Vision Ltd., Jungo Connectivity Ltd., Eyeris Technologies Inc., Hyundai Mobis Co. Ltd., LG Innotek Co. Ltd., Panasonic Automotive Systems Co. Ltd., Gentex Corporation, Faurecia SE (FORVIA), Harman International (Samsung Electronics), ZF Friedrichshafen AG, and Infineon Technologies AG, among others.
The main factors driving the occupant monitoring systems market include stringent global child safety regulations and mandates (particularly EU General Safety Regulation requirements for child presence detection), rising awareness of preventable child hot car deaths, increasing integration with intelligent restraint systems and airbag deployment optimization, growing adoption in electric and autonomous vehicles requiring comprehensive cabin monitoring, expanding deployment driven by Euro NCAP safety rating requirements, and continuous advancements in AI algorithms, multi-modal sensor fusion, and occupant classification capabilities.
Europe region will lead the global occupant monitoring systems market in 2026 due to mandatory child presence detection requirements, while Asia-Pacific region is expected to register the highest growth rate during the forecast period 2026 to 2036.
1. Introduction
1.1. Market Definition
1.2. Market Ecosystem
1.3. Currency and Limitations
1.3.1. Currency
1.3.2. Limitations
1.4. Key Stakeholders
2. Research Methodology
2.1. Research Approach
2.2. Data Collection & Validation
2.2.1. Secondary Research
2.2.2. Primary Research
2.3. Market Assessment
2.3.1. Market Size Estimation
2.3.2. Bottom-Up Approach
2.3.3. Top-Down Approach
2.3.4. Growth Forecast
2.4. Assumptions for the Study
3. Executive Summary
3.1. Overview
3.2. Market Analysis, by Sensor Modality
3.3. Market Analysis, by AI Algorithm
3.4. Market Analysis, by Safety Application
3.5. Market Analysis, by Vehicle Segment
3.6. Market Analysis, by Integration Level
3.7. Market Analysis, by Geography
3.8. Competitive Analysis
4. Market Insights
4.1. Introduction
4.2. Global Occupant Monitoring Systems (OMS) Market: Impact Analysis of Market Drivers (2026–2036)
4.2.1. Stringent Global Child Safety Regulations and Mandates
4.2.2. Rising Awareness of Preventable Child Hot Car Deaths
4.2.3. Increasing Integration with Intelligent Restraint Systems
4.3. Global Occupant Monitoring Systems (OMS) Market: Impact Analysis of Market Restraints (2026–2036)
4.3.1. Privacy Concerns and Data Protection Regulations
4.3.2. High System Complexity and Integration Costs
4.4. Global Occupant Monitoring Systems (OMS) Market: Impact Analysis of Market Opportunities (2026–2036)
4.4.1. Integration with Autonomous Vehicle Development
4.4.2. Expansion Beyond Safety into Wellness and Personalization
4.5. Global Occupant Monitoring Systems (OMS) Market: Impact Analysis of Market Challenges (2026–2036)
4.5.1. Minimizing False Positives While Ensuring Detection Reliability
4.5.2. Handling Diverse Cabin Configurations and Accessories
4.6. Global Occupant Monitoring Systems (OMS) Market: Impact Analysis of Market Trends (2026–2036)
4.6.1. Transition to Multi-Zone Whole-Cabin Sensing
4.6.2. Integration with Connected Car and Emergency Response Systems
4.7. Porter’s Five Forces Analysis
4.7.1. Threat of New Entrants
4.7.2. Bargaining Power of Suppliers
4.7.3. Bargaining Power of Buyers
4.7.4. Threat of Substitute Products
4.7.5. Competitive Rivalry
5. The Role of Artificial Intelligence in Occupant Monitoring Systems
5.1. Introduction to AI-Powered Cabin Sensing
5.2. Computer Vision and Multi-Modal Sensor Fusion
5.3. Occupant Classification and Size Estimation Techniques
5.4. Child Presence Detection and Differentiation Algorithms
5.5. Vital Signs Monitoring and Wellness Assessment
5.6. Position Tracking and Out-of-Position Detection
5.7. Edge Computing and Real-Time Processing Requirements
5.8. Privacy-Preserving AI and Data Protection
5.9. Impact on Market Growth and Technology Adoption
6. Competitive Landscape
6.1. Introduction
6.2. Key Growth Strategies
6.2.1. Market Differentiators
6.2.2. Synergy Analysis: Major Deals & Strategic Alliances
6.3. Competitive Dashboard
6.3.1. Industry Leaders
6.3.2. Market Differentiators
6.3.3. Vanguards
6.3.4. Emerging Companies
6.4. Market Share/Ranking by Key Players
7. Global Occupant Monitoring Systems (OMS) Market, by Sensor Modality
7.1. Introduction
7.2. Camera-Based Systems
7.2.1. RGB Cameras
7.2.2. Infrared (IR) Cameras
7.2.3. Time-of-Flight (ToF) Cameras
7.3. Radar Sensors
7.3.1. mmWave Radar
7.3.2. Ultra-Wideband (UWB) Radar
7.4. Thermal Imaging Sensors
7.5. Capacitive Seat Sensors
7.6. Weight and Pressure Sensors
7.7. Multi-Modal Sensor Fusion Systems
8. Global Occupant Monitoring Systems (OMS) Market, by AI Algorithm
8.1. Introduction
8.2. Child Presence Detection
8.3. Occupant Size Classification
8.4. Occupant Position Monitoring
8.5. Vital Signs Detection
8.6. Occupant Identification and Recognition
8.7. Behavioral and Wellness Analysis
8.8. Object vs. Living Occupant Differentiation
9. Global Occupant Monitoring Systems (OMS) Market, by Safety Application
9.1. Introduction
9.2. Child Presence Detection and Alert
9.2.1. Rear-Seat Reminder Systems
9.2.2. Active Child Detection Systems
9.2.3. Door Opening Warning Systems
9.3. Airbag Deployment Optimization
9.3.1. Occupant Classification for Airbag Suppression
9.3.2. Deployment Force Modulation
9.3.3. Multi-Stage Restraint Coordination
9.4. Unattended Occupant Detection
9.5. Seatbelt Reminder and Monitoring
9.6. Emergency Response and Crash Assistance
9.7. Climate Control Optimization for Occupant Safety
10. Global Occupant Monitoring Systems (OMS) Market, by Vehicle Segment
10.1. Introduction
10.2. Passenger Vehicles
10.2.1. Compact and Mid-Size Cars
10.2.2. Luxury and Premium Vehicles
10.2.3. SUVs and Crossovers
10.2.4. Minivans and Family Vehicles
10.3. Electric Vehicles (EVs)
10.4. Autonomous and Semi-Autonomous Vehicles
10.5. Shared Mobility and Fleet Vehicles
11. Global Occupant Monitoring Systems (OMS) Market, by Integration Level
11.1. Introduction
11.2. Basic Presence Detection Systems
11.3. Advanced Classification Systems
11.4. Comprehensive Whole-Cabin Monitoring
11.5. Integrated Wellness and Personalization Systems
12. Occupant Monitoring Systems (OMS) Market, by Geography
12.1. Introduction
12.2. North America
12.2.1. U.S.
12.2.2. Canada
12.3. Europe
12.3.1. Germany
12.3.2. U.K.
12.3.3. France
12.3.4. Italy
12.3.5. Spain
12.3.6. Sweden
12.3.7. Rest of Europe
12.4. Asia-Pacific
12.4.1. China
12.4.2. Japan
12.4.3. South Korea
12.4.4. India
12.4.5. Australia
12.4.6. Southeast Asia
12.4.7. Rest of Asia-Pacific
12.5. Latin America
12.5.1. Brazil
12.5.2. Mexico
12.5.3. Argentina
12.5.4. Rest of Latin America
12.6. Middle East & Africa
12.6.1. Saudi Arabia
12.6.2. UAE
12.6.3. South Africa
12.6.4. Rest of Middle East & Africa
13. Company Profiles
13.1. Bosch GmbH
13.2. Continental AG
13.3. Denso Corporation
13.4. Valeo SA
13.5. Aptiv PLC
13.6. Magna International Inc.
13.7. Visteon Corporation
13.8. Seeing Machines Limited
13.9. Smart Eye AB
13.10. Cipia Vision Ltd.
13.11. Jungo Connectivity Ltd.
13.12. Eyeris Technologies Inc.
13.13. Hyundai Mobis Co. Ltd.
13.14. LG Innotek Co. Ltd.
13.15. Panasonic Automotive Systems Co. Ltd.
13.16. Gentex Corporation
13.17. Faurecia SE (FORVIA)
13.18. Harman International (Samsung Electronics)
13.19. ZF Friedrichshafen AG
13.20. Infineon Technologies AG
13.21. Others
14. Appendix
14.1. Questionnaire
14.2. Available Customization
Published Date: Nov-2025
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