Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size, Forecast [2032]
Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size, Forecast [2032]
Segments - by Sensor Type (RADAR Sensors, LiDAR Sensors, Camera Sensors, Ultrasonic Sensors, Infrared Sensors), by Functionality (Adaptive Cruise Control, Lane Departure Warning, Automatic Emergency Braking, Blind Spot Detection, Parking Assistance), by Application (Passenger Vehicles, Commercial Vehicles, Two-Wheelers, Heavy-Duty Vehicles, Public Transport Vehicles), by Technology (Vision-Based Systems, Radar-Based Systems, Lidar-Based Systems, Sensor Fusion Technologies, Machine Learning Algorithms)
Upcoming
| Report ID :ICT-SE-7176
| 4.6 Rating
| 87 Reviews
| 299 Pages
| Format :
Report Description
Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Outlook 2032
The global sensor in Advanced Driver-Assistance System (ADAS) Vehicles market size was USD 32.25 Billion in 2023 and is likely to reach USD 69.71 Billion by 2032, expanding at a CAGR of 9.2% during 2024–2032. The market growth is attributed tothe widespread adoption of vehicular ADAS.
Regulatory bodies and governments worldwide are enforcing stringent safety regulations for driver and passenger safety, making automobile manufacturers implement the incorporation of ADAS in their vehicles. ADAS significantly improves road safety by reducing human error in driving. Human errors are the leading cause of vehicular accidents, with ADAS potentially preventing millions of crashes and saving numerous lives.
The systems have critical features such as lane departure warnings, automatic emergency braking, and adaptive cruise control, making them a crucial component in enhancing vehicle safety across the world.
The advent of autonomous driving technology has further accelerated the adoption of ADAS. Fully autonomous vehicles are still in development, but that hasn’t stopped innovation in the underlying technologies of RADAR, LiDAR, and computer vision.
ADAS has brought significant benefits to the automotive industry and society by enhancing safety, improving driving comfort, and paving the way for autonomous driving. The widespread adoption of ADAS is a step towards a safe and efficient future in transportation.
Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Dynamics
Major Drivers
The integral nature of sensors in ADAS is a major market driver. Sensors are pivotal to ADAS, acting as the “eyes and ears” of the vehicle, allowing the machine to perceive its surroundings and react to potential hazards.
Sensors enable a wide range of assistive features, including braking, steering adjustments, parking assist, blind-spot detection, and driver drowsiness monitoring. ADAS are unable to function effectively in the absence of sensors, making their presence essential for driving safety and convenience.
The stringent safety regulations and mandates surrounding road and driver safety are a significant market driver. Authorized organizations worldwide are implementing strict safety protocols, designed to reduce accidents, injuries, and casualties on the road.
ADAS technologies play a vital role in meeting compliance standards, with features such as adaptive cruise control, lane keep assist, and traffic sign recognition helping reduce physical and mental strain on drivers. Failure to meet the regulations results in heavy fines and sanctions, creating a market where manufacturers who comply enjoy a significant advantage over others.
The increasing adoption of autonomous and semi-autonomous driving is contributing to market expansion. Advancements in technology, including artificial intelligence (AI) and sensor capabilities, growing consumer demand for enhanced safety features, potential for improved traffic efficiency, and supportive government regulations have led to a surge in demand for the adoption of autonomous and semi-autonomous driving. The gradual integration of ADAS in mainstream vehicles is expected to further boost the demand, contributing to the sensor requirements.
Existing Restraints
The high cost of advanced sensors is a significant market restraint. Advanced sensors, such as the ones used in Advanced Driver Assistance Systems (ADAS), are expensive, due to the sophisticated technology and materials required for their production. Research, development, and manufacturing of advanced sensors involve substantial investments, which limit their accessibility. The high cost of these sensors is a barrier to widespread adoption, especially in lower-end vehicle models.
The complexity of integrating multiple sensors into cohesive ADAS is a hindrance in the market. Integrating multiple sensors into a system is a complicated process, requiring significant investments in time and money.
Each sensor collects different types of data, and these data streams need to be processed in real time to provide accurate and reliable information to the control systems. This requires advanced algorithms, high computational power, and seamless communication between different systems. Ensuring that all systems work together harmoniously is essential for the overall effectiveness of ADAS.
Regulatory hurdles surrounding ADAS deployment are expected to impede the growth of the market. Different countries have varying standards and regulations regarding the safety and performance of the systems. Compliance with these regulations is challenging and time-consuming for automobile production units. Additionally, there are legal implications and financial sanctions that discourage manufacturers from developing technologies.
Data security concerns obstruct the widespread adoption of ADAS, thus limiting the demand for sensors for ADAS vehicles. Sensors collect and process vast amounts of data, including sensitive information about the vehicle’s location, speed, and driver behavior.
Ensuring this data is protected from cyber threats is a hard task, requiring high-level security infrastructure to prevent unauthorized access and potential misuse. The involvement of third parties further complicates the scenario in terms of data ownership and appropriate consent mechanisms.
Emerging Opportunities
Technological advancements in sensor technology are expected to create lucrative opportunities for market players. The development of new innovative technologies such as solid-state LiDAR, high-frequency radar, and AI-enhanced cameras are leading to an increased integration and adoption of various sensors in ADAS.
Modern sensors are focused on improved precision, energy efficiency, and compactness. Breakthroughs in nanotechnology have enabled sensors to detect minute changes in environmental conditions. The integration of internet-of-things (IoT) allows sensors to communicate and interact with other devices, enhancing real-time data collection and analysis.
Sensor fusion technologies offer substantial opportunities to market players. Sensor fusion is a critical component of ADAS, combining data from multiple sensors such as camera, RADAR, LiDAR, and ultrasonic sensors to create a comprehensive view and understanding of the vehicle’s surroundings.
It improves the reliability and accuracy of the system, augmenting features such as collision avoidance, adaptive cruise control, and lane departure warning systems. Sensor fusion ensures that vehicles are able to make informed decisions in real time by leveraging the strengths of each sensor type incorporated into the system.
The expansion of artificial intelligence (AI) and machine learning (ML) is playing a pivotal role in opening up new methods and approaches. AI algorithms are able to identify patterns, predict behavior, and adapt to changing conditions by analyzing vast amounts of data sets provided by the sensors.
Neural networks are for object detection and sequential data analysis. These technologies empower ADAS to provide timely warnings and take preventive actions, enhancing overall vehicular safety.
Scope of the Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Report
The market report includes an assessment of the market trends, segments, and regional markets. Overview and dynamics have also been included in the report.
|
Attributes |
Details |
|
Report Title |
Sensor in Advanced Driver-Assistance System (ADAS) VehiclesMarket - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast |
|
Base Year |
2023 |
|
Historic Data |
2017 -2022 |
|
Forecast Period |
2024–2032 |
|
Segmentation |
Sensor Type(RADAR Sensors, LiDAR Sensors, Camera Sensors, Ultrasonic Sensors, and Infrared Sensors), Functionality(Adaptive Cruise Control, Lane Departure Warning, Automatic Emergency Braking, Blind Spot Detection, and Parking Assistance), Application(Passenger Vehicles, Commercial Vehicles, Two-Wheelers, Heavy-Duty Vehicles, and Public Transport Vehicles), and Technology(Vision-Based Systems, Radar-Based Systems, Lidar-Based Systems, Sensor Fusion Technologies, and Machine Learning Algorithms) |
|
Regional Scope |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
|
Report Coverage |
Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast |
|
Key Players Covered in the Report |
Autoliv, Inc.; Bosch Sensortec GmbH; CTS Corporation; Denso Corporation; Infineon Technologies AG; Microchip Technology Inc.; NXP Semiconductors; Ouster Inc.; Panasonic Industry Co., Ltd.; TE Connectivity; and others. |
Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Segment Insights
Sensor Type Segment Analysis
Based on sensor type, the sensor in Advanced Driver-Assistance System (ADAS) vehicles market is divided into RADAR sensors, LiDAR sensors, camera sensors, ultrasonic sensors, and infrared sensors.
The RADAR sensors segment held a major share of the market due to their reliability in various weather conditions and ability to detect objects at long distances, making them integral for adaptive cruise control and collision avoidance.
Their robust performance and accuracy have led to the widespread adoption in all kinds of vehicles. RADAR sensors are cost-effective, further driving their integration with other sensor types through sensor fusion. The development of imaging radars has solidified the market dominance of the segment. The automotive industry’s focus on improving road safety has made RADAR sensors a fundamental core of modern ADAS.
The LiDAR sensors segment is expected to expand at a significant growth rate in the coming years, owing to their ability to provide high-resolution, three-dimensional maps of the surrounding environment, a crucial element for autonomous driving and advanced navigation systems.
The ability of LiDAR to accurately detect and measure the distance of objects, even in harsh weather conditions, makes it an indispensable part of ADAS. Recent advancements in LiDAR technology have led to reduced costs and improved performance, making LiDARs more accessible than before.
Functionality Segment Analysis
On the basis of functionality, the sensor in Advanced Driver-Assistance System (ADAS) vehicles market is segregated into adaptive cruise control, lane departure warning, automatic emergency braking, blind spot detection, and parking assistance.
The adaptive cruise control (ACC) segment held a large market share due to its widespread adoption across all vehicular segments, especially in long-haul trucks. ACC systems use radar and camera sensors to maintain a set speed while automatically adjusting to the traffic flow, enhancing driver comfort and reducing fatigue.
They are valued highly for their ability to improve fuel efficiency by optimizing speed and reducing unnecessary acceleration and braking. The integration of ACC with other ADAS functionalities, such as lane keep assist and collision avoidance, has augmented the demand and integration in modern vehicles.
The automatic emergency braking (AEB) segment is anticipated to grow at a substantial CAGR during the forecast period, owing to its increasing adoption amidst intense regulatory pressure and a rising number of vehicular accidents.
AEB systems use radar, camera, and LiDAR sensors to detect potential collisions and automatically apply brakes if the driver fails to respond in time. The segment is highly effective in preventing rear-end collisions and reducing the severity of the accident, making it an important safety feature. The continuous advancements in sensor technology and ML algorithms have enhanced the accuracy and reliability of AEB systems.
Application Channel Segment Analysis
In terms of application, the global sensor in Advanced Driver-Assistance System (ADAS) vehicles market is segmented into passenger vehicles, commercial vehicles, two-wheelers, heavy-duty vehicles, and public transport vehicles.
The passenger vehicle segment led the market in terms of revenue, due to the high demand for advanced safety features and driver assistance technologies. Passenger vehicles are equipped with a wide array of ADAS functionalities, including adaptive cruise control, lane departure warning, and automatic emergency braking.
The increasing focus on vehicle safety and the rising number of road accidents have driven the demand for ADAS, and subsequently for sensors, in passenger vehicles. Continuous advancements in sensor technology and software algorithms have enhanced the performance and reliability of ADAS. Government regulations and the automotive industry’s commitment to passenger and driver safety have made ADAS a standard feature in many new passenger vehicle models.
The commercial vehicle segment is projected to register a robust growth rate during the assessment years, owing to the demand for advanced ADAS by commercial fleet operators. Emerging e-commerce markets and the demand for efficient logistics and transportation solutions have incentivized commercial vehicle operators to streamline their workflows and reduce operational expenditure.
Commercial applications of ADAS are being widely implemented in heavy trucks, buses, and utility vehicles where safety and efficiency are of the highest priority. Commercial ADAS solutions are rapidly emerging across various industrial sectors, including freight operators, metropolitan transportation agencies, and logistics companies.
Technology Segment Analysis
Based on technology, the global sensor in Advanced Driver-Assistance System (ADAS) vehicles market is divided into vision-based systems, radar-based systems, lidar-based systems, sensor fusion technologies, and machine learning algorithms.
The vision-based systems segment generated a major revenue share of the market. These systems rely on cameras and image-processing algorithms to detect and interpret visual information.
The widespread adoption of vision-based is driven by their ability to provide high-resolution images and detailed information, crucial for the implementation of lane departure warnings, traffic sign recognition, and pedestrian system detection.
Innovations in camera technology, such as high dynamic range (HDR) and night vision features, have augmented the performance of vision-based systems. The integration of vision-based systems with other sensor types has greatly improved the accuracy and reliability of ADAS.
The sensor fusion technologies segment is likely to lead the market in terms of revenue during the projection period, due to the increasing complexity of ADAS and the need for accurate and reliable data from multiple sensors. These technologies integrate data from cameras, RADAR, LiDAR, and ultrasonic sensors to provide a complete view of the vehicle’s vicinity.
The growing adoption of electric and autonomous vehicles is fueling the demand as these vehicles need sophisticated sensing abilities. Advancements in AI/ML have further enhanced the effectiveness of sensor fusion, enabling precise and timelydecision-making by ADAS.
Regional Outlook
In terms of region, the global sensor in Advanced Driver-Assistance System (ADAS) vehicles market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa.
North America holds the largest share of the market due to the early adoption of cutting-edge automotive technologies, strict safety regulations, and the presence of leading automotive manufacturers and tech companies.
The region’s focus on innovation has led to the widespread deployment of ADAS in passenger, as well as commercial vehicles. Government mandates for advanced safety features in vehicles have further driven the demand for sensors in ADAS.
The Asia Pacific market is projected to grow at a significant pace in the coming years, owing to increasing demand for advanced safety features in vehicles, rising disposable incomes, and a growing middle-class population.
The automotive industry in the region is undergoing significant transformation, with a shift towards autonomous and connected vehicles. Government initiatives to improve road safety and reduce traffic accidents are taking root, contributing to the rapid market expansion in the region.
Segments
The Sensor in Advanced Driver-Assistance System (ADAS) Vehicles market has been segmented on the basis of
Sensor Type
- RADAR Sensors
- LiDAR Sensors
- Camera Sensors
- Ultrasonic Sensors
- Infrared Sensors
Functionality
- Adaptive Cruise Control
- Lane Departure Warning
- Automatic Emergency Braking
- Blind Spot Detection
- Parking Assistance
Application
- Passenger Vehicles
- Commercial Vehicles
- Two-Wheelers
- Heavy-Duty Vehicles
- Public Transport Vehicles
Technology
- Vision-Based Systems
- Radar-Based Systems
- Lidar-Based Systems
- Sensor Fusion Technologies
- Machine Learning Algorithms
Region
- Asia Pacific
- North America
- Europe
- Middle East & Africa
- Latin America
Key Players
- Autoliv, Inc.
- Bosch Sensortec GmbH
- CTS Corporation
- Denso Corporation
- Infineon Technologies AG
- Microchip Technology Inc.
- NXP Semiconductors
- Ouster Inc.
- Panasonic Industry Co., Ltd.
- TE Connectivity
Competitive Landscape
The competitive landscape of the sensor in Advanced Driver Assistance Systems (ADAS) vehicle market is characterized by rapid technological advancements, increasing regulatory support for vehicle safety, and growing consumer demand for autonomous and semi-autonomous driving features.
Key players are continuously investing in R&D to innovate and introduce advanced sensor technologies. These companies are at the forefront of developing modern sensor technologies that enhance vehicle safety and performance.
The market is experiencing significant growth driven by advancements in technology and surging demand for vehicle safety. The industry is witnessing the development of accurate and reliable sensors, along with innovations in computer vision, enhancing the performance and functionalities of ADAS.
The adoption of AI/ML algorithms is increasing the decision-making capabilities of these systems, enabling precise and timely responses to various driving scenarios. The push towards higher levels of vehicle automation is accelerating the demand for sophisticated sensing and data processing capabilities.
-
In January 2025, Dutch semiconductor giant NXP announced its plans to acquire TTTech Auto, an Austrian company specializing in safety software for autonomous vehicles, in a transaction valued at $625 million.
TTTech Auto’s flagship product, MotionWise, is a middleware platform for ADAS and automated driving systems (ADS). It provides real-time data processing, supports the integration of software from multiple suppliers, and ensures that it meets functional safety compliance standards. -
In January 2025, Omnitron Sensors, a pioneer in MEMS fabrication IP for new world sensors, notified the press that it had secured $13M+ in Series A funding led by Corriente Advisors, LLC, with participation from longtime investor L’ATTITUDE Ventures.
The investment will fuel the expansion of Omnitron’s engineering and operation teams, accelerating the production of the company’s microelectromechanical systems (MEMS) step-scanning mirror for multiple markets. -
In June 2024, a South Korea-based startup called Bitsensing raised $25M for its high-resolution radar in autonomous driving in a Series B round. The company has said that its high-solution 4D imaging radar provides a surround detection solution for self-driving vehicle systems with a range coverage of more than 300 meters and a 50% advancement in detection range compared to conventional radar.
The company further claims its traffic insight monitoring sensor (TIMOS) is the first sensor to integrate an edge AI computing device into an intelligent transportation solution (ITS) solution. -
In February 2024, General Motors expanded access to Super Cruise with plans to let drivers use the hands-free ADAS on about 750,000 miles of roads in the United States and Canada. The expansion will include rural and minor highways that connect smaller cities and townships.
Super Cruise uses a combination of LiDAR map data, high-precision GPS, cameras, and RADAR sensors, as well as a driver-attention system, which monitors the person behind the wheel to ensure they’re watching the road. Super Cruise launched in 2017 as the industry’s first true hands-free ADAS on the market.
Table Of Content
Chapter 1 Executive SummaryChapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size & Forecast, 2023-2032
4.5.1 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size and Y-o-Y Growth
4.5.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Absolute $ Opportunity
Chapter 5 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Analysis and Forecast By Sensor Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities By Sensor Type
5.1.2 Basis Point Share (BPS) Analysis By Sensor Type
5.1.3 Absolute $ Opportunity Assessment By Sensor Type
5.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
5.2.1 RADAR Sensors
5.2.2 LiDAR Sensors
5.2.3 Camera Sensors
5.2.4 Ultrasonic Sensors
5.2.5 Infrared Sensors
5.3 Market Attractiveness Analysis By Sensor Type
Chapter 6 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Analysis and Forecast By Functionality
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities By Functionality
6.1.2 Basis Point Share (BPS) Analysis By Functionality
6.1.3 Absolute $ Opportunity Assessment By Functionality
6.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
6.2.1 Adaptive Cruise Control
6.2.2 Lane Departure Warning
6.2.3 Automatic Emergency Braking
6.2.4 Blind Spot Detection
6.2.5 Parking Assistance
6.3 Market Attractiveness Analysis By Functionality
Chapter 7 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Analysis and Forecast By Application
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities By Application
7.1.2 Basis Point Share (BPS) Analysis By Application
7.1.3 Absolute $ Opportunity Assessment By Application
7.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
7.2.1 Passenger Vehicles
7.2.2 Commercial Vehicles
7.2.3 Two-Wheelers
7.2.4 Heavy-Duty Vehicles
7.2.5 Public Transport Vehicles
7.3 Market Attractiveness Analysis By Application
Chapter 8 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Analysis and Forecast By Technology
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities By Technology
8.1.2 Basis Point Share (BPS) Analysis By Technology
8.1.3 Absolute $ Opportunity Assessment By Technology
8.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
8.2.1 Vision-Based Systems
8.2.2 Radar-Based Systems
8.2.3 Lidar-Based Systems
8.2.4 Sensor Fusion Technologies
8.2.5 Machine Learning Algorithms
8.3 Market Attractiveness Analysis By Technology
Chapter 9 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Analysis and Forecast by Region
9.1 Introduction
9.1.1 Key Market Trends & Growth Opportunities By Region
9.1.2 Basis Point Share (BPS) Analysis By Region
9.1.3 Absolute $ Opportunity Assessment By Region
9.2 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Region
9.2.1 North America
9.2.2 Europe
9.2.3 Asia Pacific
9.2.4 Latin America
9.2.5 Middle East & Africa (MEA)
9.3 Market Attractiveness Analysis By Region
Chapter 10 Coronavirus Disease (COVID-19) Impact
10.1 Introduction
10.2 Current & Future Impact Analysis
10.3 Economic Impact Analysis
10.4 Government Policies
10.5 Investment Scenario
Chapter 11 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Analysis and Forecast
11.1 Introduction
11.2 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast by Country
11.2.1 U.S.
11.2.2 Canada
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
11.6.1 RADAR Sensors
11.6.2 LiDAR Sensors
11.6.3 Camera Sensors
11.6.4 Ultrasonic Sensors
11.6.5 Infrared Sensors
11.7 Basis Point Share (BPS) Analysis By Sensor Type
11.8 Absolute $ Opportunity Assessment By Sensor Type
11.9 Market Attractiveness Analysis By Sensor Type
11.10 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
11.10.1 Adaptive Cruise Control
11.10.2 Lane Departure Warning
11.10.3 Automatic Emergency Braking
11.10.4 Blind Spot Detection
11.10.5 Parking Assistance
11.11 Basis Point Share (BPS) Analysis By Functionality
11.12 Absolute $ Opportunity Assessment By Functionality
11.13 Market Attractiveness Analysis By Functionality
11.14 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
11.14.1 Passenger Vehicles
11.14.2 Commercial Vehicles
11.14.3 Two-Wheelers
11.14.4 Heavy-Duty Vehicles
11.14.5 Public Transport Vehicles
11.15 Basis Point Share (BPS) Analysis By Application
11.16 Absolute $ Opportunity Assessment By Application
11.17 Market Attractiveness Analysis By Application
11.18 North America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
11.18.1 Vision-Based Systems
11.18.2 Radar-Based Systems
11.18.3 Lidar-Based Systems
11.18.4 Sensor Fusion Technologies
11.18.5 Machine Learning Algorithms
11.19 Basis Point Share (BPS) Analysis By Technology
11.20 Absolute $ Opportunity Assessment By Technology
11.21 Market Attractiveness Analysis By Technology
Chapter 12 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Analysis and Forecast
12.1 Introduction
12.2 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast by Country
12.2.1 Germany
12.2.2 France
12.2.3 Italy
12.2.4 U.K.
12.2.5 Spain
12.2.6 Russia
12.2.7 Rest of Europe
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
12.6.1 RADAR Sensors
12.6.2 LiDAR Sensors
12.6.3 Camera Sensors
12.6.4 Ultrasonic Sensors
12.6.5 Infrared Sensors
12.7 Basis Point Share (BPS) Analysis By Sensor Type
12.8 Absolute $ Opportunity Assessment By Sensor Type
12.9 Market Attractiveness Analysis By Sensor Type
12.10 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
12.10.1 Adaptive Cruise Control
12.10.2 Lane Departure Warning
12.10.3 Automatic Emergency Braking
12.10.4 Blind Spot Detection
12.10.5 Parking Assistance
12.11 Basis Point Share (BPS) Analysis By Functionality
12.12 Absolute $ Opportunity Assessment By Functionality
12.13 Market Attractiveness Analysis By Functionality
12.14 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
12.14.1 Passenger Vehicles
12.14.2 Commercial Vehicles
12.14.3 Two-Wheelers
12.14.4 Heavy-Duty Vehicles
12.14.5 Public Transport Vehicles
12.15 Basis Point Share (BPS) Analysis By Application
12.16 Absolute $ Opportunity Assessment By Application
12.17 Market Attractiveness Analysis By Application
12.18 Europe Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
12.18.1 Vision-Based Systems
12.18.2 Radar-Based Systems
12.18.3 Lidar-Based Systems
12.18.4 Sensor Fusion Technologies
12.18.5 Machine Learning Algorithms
12.19 Basis Point Share (BPS) Analysis By Technology
12.20 Absolute $ Opportunity Assessment By Technology
12.21 Market Attractiveness Analysis By Technology
Chapter 13 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Analysis and Forecast
13.1 Introduction
13.2 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast by Country
13.2.1 China
13.2.2 Japan
13.2.3 South Korea
13.2.4 India
13.2.5 Australia
13.2.6 South East Asia (SEA)
13.2.7 Rest of Asia Pacific (APAC)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
13.6.1 RADAR Sensors
13.6.2 LiDAR Sensors
13.6.3 Camera Sensors
13.6.4 Ultrasonic Sensors
13.6.5 Infrared Sensors
13.7 Basis Point Share (BPS) Analysis By Sensor Type
13.8 Absolute $ Opportunity Assessment By Sensor Type
13.9 Market Attractiveness Analysis By Sensor Type
13.10 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
13.10.1 Adaptive Cruise Control
13.10.2 Lane Departure Warning
13.10.3 Automatic Emergency Braking
13.10.4 Blind Spot Detection
13.10.5 Parking Assistance
13.11 Basis Point Share (BPS) Analysis By Functionality
13.12 Absolute $ Opportunity Assessment By Functionality
13.13 Market Attractiveness Analysis By Functionality
13.14 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
13.14.1 Passenger Vehicles
13.14.2 Commercial Vehicles
13.14.3 Two-Wheelers
13.14.4 Heavy-Duty Vehicles
13.14.5 Public Transport Vehicles
13.15 Basis Point Share (BPS) Analysis By Application
13.16 Absolute $ Opportunity Assessment By Application
13.17 Market Attractiveness Analysis By Application
13.18 Asia Pacific Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
13.18.1 Vision-Based Systems
13.18.2 Radar-Based Systems
13.18.3 Lidar-Based Systems
13.18.4 Sensor Fusion Technologies
13.18.5 Machine Learning Algorithms
13.19 Basis Point Share (BPS) Analysis By Technology
13.20 Absolute $ Opportunity Assessment By Technology
13.21 Market Attractiveness Analysis By Technology
Chapter 14 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Analysis and Forecast
14.1 Introduction
14.2 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast by Country
14.2.1 Brazil
14.2.2 Mexico
14.2.3 Rest of Latin America (LATAM)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
14.6.1 RADAR Sensors
14.6.2 LiDAR Sensors
14.6.3 Camera Sensors
14.6.4 Ultrasonic Sensors
14.6.5 Infrared Sensors
14.7 Basis Point Share (BPS) Analysis By Sensor Type
14.8 Absolute $ Opportunity Assessment By Sensor Type
14.9 Market Attractiveness Analysis By Sensor Type
14.10 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
14.10.1 Adaptive Cruise Control
14.10.2 Lane Departure Warning
14.10.3 Automatic Emergency Braking
14.10.4 Blind Spot Detection
14.10.5 Parking Assistance
14.11 Basis Point Share (BPS) Analysis By Functionality
14.12 Absolute $ Opportunity Assessment By Functionality
14.13 Market Attractiveness Analysis By Functionality
14.14 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
14.14.1 Passenger Vehicles
14.14.2 Commercial Vehicles
14.14.3 Two-Wheelers
14.14.4 Heavy-Duty Vehicles
14.14.5 Public Transport Vehicles
14.15 Basis Point Share (BPS) Analysis By Application
14.16 Absolute $ Opportunity Assessment By Application
14.17 Market Attractiveness Analysis By Application
14.18 Latin America Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
14.18.1 Vision-Based Systems
14.18.2 Radar-Based Systems
14.18.3 Lidar-Based Systems
14.18.4 Sensor Fusion Technologies
14.18.5 Machine Learning Algorithms
14.19 Basis Point Share (BPS) Analysis By Technology
14.20 Absolute $ Opportunity Assessment By Technology
14.21 Market Attractiveness Analysis By Technology
Chapter 15 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Analysis and Forecast
15.1 Introduction
15.2 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast by Country
15.2.1 Saudi Arabia
15.2.2 South Africa
15.2.3 UAE
15.2.4 Rest of Middle East & Africa (MEA)
15.3 Basis Point Share (BPS) Analysis by Country
15.4 Absolute $ Opportunity Assessment by Country
15.5 Market Attractiveness Analysis by Country
15.6 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Sensor Type
15.6.1 RADAR Sensors
15.6.2 LiDAR Sensors
15.6.3 Camera Sensors
15.6.4 Ultrasonic Sensors
15.6.5 Infrared Sensors
15.7 Basis Point Share (BPS) Analysis By Sensor Type
15.8 Absolute $ Opportunity Assessment By Sensor Type
15.9 Market Attractiveness Analysis By Sensor Type
15.10 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Functionality
15.10.1 Adaptive Cruise Control
15.10.2 Lane Departure Warning
15.10.3 Automatic Emergency Braking
15.10.4 Blind Spot Detection
15.10.5 Parking Assistance
15.11 Basis Point Share (BPS) Analysis By Functionality
15.12 Absolute $ Opportunity Assessment By Functionality
15.13 Market Attractiveness Analysis By Functionality
15.14 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Application
15.14.1 Passenger Vehicles
15.14.2 Commercial Vehicles
15.14.3 Two-Wheelers
15.14.4 Heavy-Duty Vehicles
15.14.5 Public Transport Vehicles
15.15 Basis Point Share (BPS) Analysis By Application
15.16 Absolute $ Opportunity Assessment By Application
15.17 Market Attractiveness Analysis By Application
15.18 Middle East & Africa (MEA) Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market Size Forecast By Technology
15.18.1 Vision-Based Systems
15.18.2 Radar-Based Systems
15.18.3 Lidar-Based Systems
15.18.4 Sensor Fusion Technologies
15.18.5 Machine Learning Algorithms
15.19 Basis Point Share (BPS) Analysis By Technology
15.20 Absolute $ Opportunity Assessment By Technology
15.21 Market Attractiveness Analysis By Technology
Chapter 16 Competition Landscape
16.1 Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market: Competitive Dashboard
16.2 Global Sensor in Advanced Driver-Assistance System (ADAS) Vehicles Market: Market Share Analysis, 2023
16.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
16.3.1 Autoliv, Inc. Bosch Sensortec GmbH CTS Corporation Denso Corporation Infineon Technologies AG Microchip Technology Inc. NXP Semiconductors Ouster Inc. Panasonic Industry Co., Ltd. TE Connectivity
Methodology
Related Reports
Some other reports from this category!
Our Clients
