Advanced Driver Assistance System (ADAS) Market

Advanced Driver Assistance System (ADAS) Market Size, Share, Trends, Growth, and Industry Analysis, By System (Adaptive Cruise Control, Adaptive Front Light, Automatic Emergency Braking, Blind Spot Detection, Cross Traffic Alert, Driver Monitoring System, Forward Collision Warning, Intelligent Park Assist, Lane Departure Warning, Night Vision System, Pedestrian Detection System, Road Sign Recognition, Tire Pressure Monitoring System, and Traffic Jam Assist), By Component (Camera Unit, LiDAR Sensor, Radar Sensor, and Ultrasonic Sensor), By Offering (Hardware, and Software), Vehicle Type (Buses, Light Commercial Vehicles, Passenger Cars, and Trucks), By Electric Vehicle Type (Battery Electric Vehicle, Fuel Cell Electric Vehicle, Hybrid Electric Vehicle, and Plug-In Hybrid Electric Vehicle), By Propulsion (Electric, Petrol, Diesel), Regional Analysis and Forecast 2032.

ICT & Media | June 2024 | Report ID: EMR00905 | Pages: 258

Global Advanced Driver Assistance System (ADAS) market size was USD 21.14 billion in 2023 and the market is projected to touch USD 73.63 billion by 2032, at a CAGR of 14.87% during the forecast period.


ADAS includes a range of systems and features designed to assist drivers in various aspects of driving, such as collision avoidance, lane-keeping assistance, adaptive cruise control, and parking assistance. These technologies utilize sensors, cameras, radar, and other advanced hardware to detect potential hazards and provide warnings or automatic interventions to prevent accidents or mitigate their severity. The market for ADAS is being driven by growing concerns about road safety, increased demand for automated driving technologies, and regulatory initiatives encouraging the use of safety systems in vehicles.

Automotive manufacturers, technology companies, and ADAS component and software suppliers are among the industry's major players. The market is set apart by fierce competition, rapid technological advancements, and collaborative efforts between automotive and technology companies to develop innovative solutions. Despite challenges such as high costs, regulatory complexities, and concerns about data privacy and cybersecurity, the ADAS market is expected to grow significantly in the coming years, fuelled by advancements in artificial intelligence, machine learning, and sensor technologies, as well as increasing consumer awareness and acceptance of autonomous driving capabilities.


Global Advanced Driver Assistance System (ADAS) report scope and segmentation.

Report Attribute


Estimated Market Value (2023)

USD 21.14 billion

Projected Market Value (2032)

USD 73.63 billion

Base Year


Forecast Years

2024 – 2032

Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment- Based on By System, By Component, By Offering, By Vehicle Type, By Electric Vehicle Type, By Propulsion, & Region.

Segments Covered

By System, By Component, By Offering, By Vehicle Type, By Electric Vehicle Type, By Propulsion, & By Region.

Forecast Units

Value (USD Million or Billion), and Volume (Units)

Quantitative Units

Revenue in USD million/billion and CAGR from 2024 to 2032.

Regions Covered

North America, Europe, Asia Pacific, Latin America, and Middle East & Africa.

Countries Covered

U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others.

Report Coverage

Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis.

Delivery Format

Delivered as an attached PDF and Excel through email, according to the purchase option.


Global Advanced Driver Assistance System (ADAS) dynamics

Technological advancements, such as the development of more sophisticated sensors, artificial intelligence algorithms, and connectivity solutions, propel the evolution of ADAS capabilities, allowing for more effective hazard detection, autonomous driving features, and improved user experiences. Regulatory mandates and safety standards imposed by governments and automotive organizations around the world have a significant impact on the adoption and implementation of ADAS technologies, as they strive to improve road safety and reduce accidents by integrating advanced safety systems in vehicles.

Furthermore, consumer demand for safer, more convenient, and connected driving experiences fuels the market growth, prompting automotive manufacturers to incorporate ADAS features into their vehicles to meet customer expectations and gain a competitive edge in the market. Furthermore, strategic collaborations and partnerships between automotive companies, technology firms, and suppliers facilitate the development and deployment of ADAS solutions by leveraging complementary expertise, resources, and capabilities. However, challenges such as high implementation costs, interoperability issues, regulatory complexities, and concerns about data privacy and cybersecurity pose significant hurdles to market growth and adoption.


Global Advanced Driver Assistance System (ADAS) drivers

  • Regulatory Mandates

To reduce road accidents and fatalities, governments around the world are enacting more stringent regulations requiring the inclusion of advanced safety features in vehicles. These regulations frequently require the integration of ADAS technologies like automatic emergency braking, lane departure warning, and adaptive cruise control. For example, the European Union's General Safety Regulation requires all new vehicles sold in the EU to include a variety of ADAS features beginning in 2022. Such regulatory mandates not only create a legal requirement for ADAS adoption, but they also drive consumer awareness and demand for safer vehicles, thus fuelling market growth.

  • Technological Advancements

Continuous advances in sensor technology, artificial intelligence, and connectivity improve the capabilities and effectiveness of ADAS systems. New sensor technologies, such as LiDAR and advanced radar systems, allow for more precise detection and interpretation of the vehicle's surroundings, increasing the reliability and performance of ADAS features.

Furthermore, advances in AI algorithms enable more sophisticated decision-making capabilities, allowing ADAS systems to anticipate and respond to complex driving scenarios more precisely and efficiently. Furthermore, the integration of connectivity features allows for vehicle-to-vehicle communication and access to real-time traffic data, which improves the effectiveness of ADAS functions such as adaptive cruise control and traffic jam assist. These technological advancements not only improve the safety and convenience of driving but also drive market growth by expanding the scope and capabilities of ADAS systems.



  • High Implementation Costs

The integration of ADAS technologies into vehicles incurs significant costs related to hardware components, software development, testing, and validation. Furthermore, the complexity of integrating these systems into existing vehicle architectures raises implementation costs, especially for traditional automakers using legacy platforms. As a result, the initial cost of ADAS-equipped vehicles remains high, limiting their adoption, particularly in price-sensitive market segments. Additionally, the ongoing maintenance and calibration requirements of ADAS systems add to the total cost of ownership, posing a barrier to widespread adoption.

  • Data Privacy and Cybersecurity Concerns

To function properly, ADAS systems must collect and process large amounts of data from sensors, cameras, and other sources. However, this data collection raises privacy and security concerns because it collects sensitive information about vehicle occupants and their surroundings. Furthermore, as vehicles become more connected, they are vulnerable to cybersecurity threats such as hacking and malware attacks, which may risk the integrity and reliability of ADAS functions. Addressing these concerns requires robust data protection measures, secure communication protocols, and cybersecurity solutions to safeguard against potential risks and vulnerabilities, increasing the complexity and cost of ADAS development and implementation.



  • Rapid Urbanization and Traffic Congestion

The ongoing trend of urbanization, which has resulted in increased traffic congestion, presents significant opportunities for ADAS adoption. As urban populations grow and road networks become more congested, there is an increasing need for technologies that can improve traffic flow, reduce accidents, and improve overall transportation efficiency.

ADAS features such as adaptive cruise control, traffic jam assist, and predictive routing can help to reduce traffic congestion, improve fuel efficiency, and improve the driving experience in urban environments. Furthermore, the proliferation of electric and autonomous vehicles in urban areas creates additional opportunities for ADAS integration. These vehicles frequently rely on advanced safety systems to operate safely and efficiently in complex urban environments.


Segment Overview

  • By System

The ADAS market is segmented by system, which includes a variety of technologies designed to improve vehicle safety and driving experience. These systems include Adaptive Cruise Control, Adaptive Front Lighting, Automatic Emergency Braking, Blind Spot Detection, Cross Traffic Alert, Driver Monitoring System, Forward Collision Warning, Intelligent Park Assist, Lane Departure Warning, Night Vision System, Pedestrian Detection System, Road Sign Recognition, and Tire Pressure Monitoring System. Each system addresses specific aspects of driving safety and convenience, using sensors, cameras, and advanced algorithms to detect potential hazards and provide warnings or interventions to prevent or reduce the severity of accidents.

  • By Component

ADAS systems are made up of many different components that allow them to function and perform well. These components include camera units, LiDAR sensors, radar sensors, and ultrasonic sensors. Each component is critical to sensing the vehicle's surroundings, detecting obstacles, and providing data input to ADAS algorithms for decision-making. Cameras capture visual information, LiDAR and Radar sensors measure distances and speeds, and Ultrasonic sensors detect objects in close proximity, all contributing to the effectiveness and reliability of ADAS functions.

  • By Offering

The ADAS market is divided into two segments based on its offerings: hardware and software. Sensors, cameras, processors, and other physical components enable ADAS functionality. Software refers to the algorithms, code, and programming that govern the operation of ADAS systems, such as detection, decision-making, and control functions. Both hardware and software are essential for the development, implementation, and performance of ADAS solutions. Continuous advancements in both domains drive innovation and improve system capabilities.

  • By Vehicle Type

ADAS technologies are used on a variety of vehicle types, including buses, light commercial vehicles, passenger cars, and trucks. ADAS systems, regardless of vehicle type, aim to improve the safety, convenience, and driving experience of occupants and other road users. While passenger cars frequently lead in ADAS adoption due to their widespread use and consumer demand for advanced safety features, other vehicle types, such as buses and trucks, also benefit from ADAS technologies to improve fleet safety, efficiency, and regulatory compliance.

  • By Electric Vehicle Type

The ADAS market covers a wide range of electric vehicles, including battery electric vehicles, fuel cell electric vehicles, hybrid electric vehicles, and plug-in hybrid electric vehicles. ADAS technologies are critical in facilitating the transition to electric mobility by improving the safety, performance, and efficiency of electric vehicles. Whether optimizing regenerative braking in electric vehicles or providing adaptive cruise control for long-distance electric driving, ADAS systems contribute to the overall advancement and adoption of electric vehicle technology.

  • By Propulsion

ADAS systems are used on vehicles with a variety of propulsion systems, including electric, petrol, and diesel. Regardless of the propulsion system, ADAS technologies provide advantages such as increased safety, efficiency, and driving experience. While electric vehicles may use ADAS features to optimize energy consumption and improve regenerative braking, gasoline and diesel vehicles benefit from ADAS functions that reduce collision risks, improve driver awareness, and improve vehicle control. As the automotive industry evolves towards electrification and alternative propulsion systems, ADAS will continue to play a critical role in shaping the future of mobility across various propulsion platforms.


Global Advanced Driver Assistance System (ADAS) Overview by Region

North America dominates the ADAS market, owing to stringent safety regulations, high consumer awareness, and a strong automotive industry presence. The region has advanced technological infrastructure and a mature market for ADAS solutions, with key players investing in R&D to spur innovation and market growth. Europe is another important market for ADAS, with high safety standards, supportive regulatory policies, and a growing demand for premium vehicles equipped with advanced safety features.

The region's emphasis on reducing road accidents and improving vehicle safety has resulted in widespread adoption of ADAS technologies across passenger cars, commercial vehicles, and public transportation fleets. In Asia Pacific, rapid urbanization, increasing vehicle sales, and rising disposable incomes are driving demand for ADAS solutions, particularly in emerging economies such as China and India. Government initiatives to improve road safety and support the adoption of electric and autonomous vehicles further bolster the growth prospects for ADAS in the region.

Additionally, partnerships between automotive manufacturers, technology companies, and government agencies are fostering innovation and accelerating market penetration of ADAS technologies. Other regions such as Latin America, the Middle East, and Africa are also witnessing growing interest in ADAS, driven by improving automotive safety standards, infrastructure development, and increasing consumer awareness of the benefits of advanced safety systems. However, market growth in these regions may be hindered by factors such as economic volatility, regulatory complexities, and infrastructure challenges.



Global Advanced Driver Assistance System (ADAS) market competitive landscape

Established automakers like BMW, Mercedes-Benz, and Audi are investing heavily in ADAS research and development to incorporate advanced safety features into their vehicles and maintain a competitive advantage in the market. Similarly, technology giants such as Bosch, Continental, and Aptiv are using their expertise in sensors, artificial intelligence, and connectivity to create innovative ADAS solutions and form strategic alliances with automotive manufacturers.

Additionally, emerging players such as Mobileye, NVIDIA, and Velodyne LiDAR are disrupting the market with cutting-edge technologies and platforms designed specifically for autonomous driving applications. Collaborations and alliances between industry stakeholders shape the competitive landscape by sharing resources, accelerating innovation, and collectively addressing market challenges. Joint ventures, mergers, and acquisitions are common strategies employed by companies to expand their product portfolios, enhance their technological capabilities, and gain market share in the highly competitive ADAS market.

Key Players:

  • Robert Bosch GmbH
  • Continental AG
  • Aptiv
  • Lear Corporation
  • Texas Instruments Incorporated
  • Renesas Electronics Corporation
  • HELLA GmbH & Co. KG.
  • Visteon Corporation
  • ST Microelectronics
  • Infineon Technologies AG
  • Mitsubishi Electric Corporation
  • Panasonic Corporation
  • ROHM Co. LTD.
  • MAXIM Integrated  


Global Advanced Driver Assistance System (ADAS) Recent Developments

  • March 2024, Kodiak Robotics, headquartered in California, unveiled its sixth-generation autonomous truck, which is designed to be "driverless-ready." The truck, a modified Kenworth T680, boasts a range of sensors including cameras, LiDAR, radar, and microphones, all powered by Nvidia GPU technology. Additionally, the company plans to integrate the advanced Ambarella CV3-AD AI domain control system-on-chip (SoC) to further enhance the truck's sensor capabilities and machine-learning capabilities.


Scope of global Advanced Driver Assistance System (ADAS) report

Global Advanced Driver Assistance System (ADAS) report segmentation



By System

  • Adaptive Cruise Control
  • Adaptive Front Light
  • Automatic Emergency Braking
  • Blind Spot Detection
  • Cross Traffic Alert
  • Driver Monitoring System
  • Forward Collision Warning
  • Intelligent Park Assist
  • Lane Departure Warning
  • Night Vision System
  • Pedestrian Detection System
  • Road Sign Recognition
  • Tire Pressure Monitoring System
  • Traffic Jam Assist

By Component

  • Camera Unit
  • LiDAR Sensor
  • Radar Sensor
  • Ultrasonic Sensor

By Offering

  • Hardware
  • Software

By Vehicle Type

  • Buses
  • Light Commercial Vehicles
  • Passenger Cars
  • Trucks

By Electric Vehicle Type

  • Battery Electric Vehicle
  • Fuel Cell Electric Vehicle
  • Hybrid Electric Vehicle
  • Plug-In Hybrid Electric Vehicle

By Propulsion

  • Electric
  • Petrol
  • Diesel

By Geography

  • North America (USA, and Canada)
  • Europe (UK, Germany, France, Italy, Spain, Russia and Rest of Europe)
  • Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
  • Latin America (Brazil, Mexico, and Rest of Latin America)
  • Middle East & Africa (South Africa, GCC, and Rest of Middle East & Africa)

Customization Scope

  • Available upon request


  • Available upon request


Objectives of the Study

The objectives of the study are summarized in 5 stages. They are as mentioned below:

  • Global Advanced Driver Assistance System (ADAS) size and forecast: To identify and estimate the market size for global Advanced Driver Assistance System (ADAS) market segmented By System, By Component, By Offering, By Vehicle Type, By Electric Vehicle Type, By Propulsion, and by region. Also, to understand the consumption/ demand created by consumers between 2024 and 2032.
  • Market Landscape and Trends: To identify and infer the drivers, restraints, opportunities, and challenges for global Advanced Driver Assistance System (ADAS)
  • Market Influencing Factors: To find out the factors which are affecting the market of global Advanced Driver Assistance System (ADAS) among consumers.
  • Company Profiling:  To provide a detailed insight into the major companies operating in the market. The profiling will include the financial health of the company's past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.

Research Methodology

Our research methodology has always been the key differentiating reason which sets us apart in comparison from the competing organizations in the industry. Our organization believes in consistency along with quality and establishing a new level with every new report we generate; our methods are acclaimed and the data/information inside the report is coveted. Our research methodology involves a combination of primary and secondary research methods. Data procurement is one of the most extensive stages in our research process. Our organization helps in assisting the clients to find the opportunities by examining the market across the globe coupled with providing economic statistics for each and every region.  The reports generated and published are based on primary & secondary research. In secondary research, we gather data for global Market through white papers, case studies, blogs, reference customers, news, articles, press releases, white papers, and research studies. We also have our paid data applications which includes hoovers, Bloomberg business week, Avention, and others.

Data Collection

Data collection is the process of gathering, measuring, and analyzing accurate and relevant data from a variety of sources to analyze market and forecast trends. Raw market data is obtained on a broad front. Data is continuously extracted and filtered to ensure only validated and authenticated sources are considered. Data is mined from a varied host of sources including secondary and primary sources.

Primary Research

After the secondary research process, we initiate the primary research phase in which we interact with companies operating within the market space. We interact with related industries to understand the factors that can drive or hamper a market. Exhaustive primary interviews are conducted. Various sources from both the supply and demand sides are interviewed to obtain qualitative and quantitative information for a report which includes suppliers, product providers, domain experts, CEOs, vice presidents, marketing & sales directors, Type & innovation directors, and related key executives from various key companies to ensure a holistic and unbiased picture of the market. 

Secondary Research

A secondary research process is conducted to identify and collect information useful for the extensive, technical, market-oriented, and comprehensive study of the market. Secondary sources include published market studies, competitive information, white papers, analyst reports, government agencies, industry and trade associations, media sources, chambers of commerce, newsletters, trade publications, magazines, Bloomberg BusinessWeek, Factiva, D&B, annual reports, company house documents, investor presentations, articles, journals, blogs, and SEC filings of companies, newspapers, and so on. We have assigned weights to these parameters and quantified their market impacts using the weighted average analysis to derive the expected market growth rate.

Top-Down Approach & Bottom-Up Approach

In the top – down approach, the Global Batteries for Solar Energy Storage Market was further divided into various segments on the basis of the percentage share of each segment. This approach helped in arriving at the market size of each segment globally. The segments market size was further broken down in the regional market size of each segment and sub-segments. The sub-segments were further broken down to country level market. The market size arrived using this approach was then crosschecked with the market size arrived by using bottom-up approach.

In the bottom-up approach, we arrived at the country market size by identifying the revenues and market shares of the key market players. The country market sizes then were added up to arrive at regional market size of the decorated apparel, which eventually added up to arrive at global market size.

This is one of the most reliable methods as the information is directly obtained from the key players in the market and is based on the primary interviews from the key opinion leaders associated with the firms considered in the research. Furthermore, the data obtained from the company sources and the primary respondents was validated through secondary sources including government publications and Bloomberg.

Market Analysis & size Estimation

Post the data mining stage, we gather our findings and analyze them, filtering out relevant insights. These are evaluated across research teams and industry experts. All this data is collected and evaluated by our analysts. The key players in the industry or markets are identified through extensive primary and secondary research. All percentage share splits, and breakdowns have been determined using secondary sources and verified through primary sources. The market size, in terms of value and volume, is determined through primary and secondary research processes, and forecasting models including the time series model, econometric model, judgmental forecasting model, the Delphi method, among Flywheel Energy Storage. Gathered information for market analysis, competitive landscape, growth trends, product development, and pricing trends is fed into the model and analyzed simultaneously.

Quality Checking & Final Review

The analysis done by the research team is further reviewed to check for the accuracy of the data provided to ensure the clients’ requirements. This approach provides essential checks and balances which facilitate the production of quality data. This Type of revision was done in two phases for the authenticity of the data and negligible errors in the report. After quality checking, the report is reviewed to look after the presentation, Type and to recheck if all the requirements of the clients were addressed.

Frequently Asked Questions

Global Advanced Driver Assistance System (ADAS) forecast period is 2024 - 2032
According to global Advanced Driver Assistance System (ADAS) research, the market is expected to grow at a CAGR of ~ 14.87% over the next eight years.
The possible segments in global Advanced Driver Assistance System (ADAS) are based on By System, By Component, By Offering, By Vehicle Type, By Electric Vehicle Type, By Propulsion, & by region.
The expected market size for Global Advanced Driver Assistance System (ADAS) is USD 73.63 billion in 2032.
The major players in the market are Robert Bosch GmbH, Continental AG, Aptiv, Lear Corporation, DENSO CORPORATION, Texas Instruments Incorporated, Renesas Electronics Corporation, HELLA GmbH & Co. KG., Visteon Corporation, ST Microelectronics, Infineon Technologies AG, Mitsubishi Electric Corporation, Panasonic Corporation, ROHM Co. LTD., and MAXIM Integrated.

Avail PDF Sample Reports