Asia-Pacific Advanced Driver Assistance System (ADAS) Market

Asia-Pacific Advanced Driver Assistance System (ADAS) Market Report: By Type (Parking Assist System, Adaptive Front-lighting, Night Vision System, Blind Spot Detection, Advanced Automatic Emergency Braking System, Collision Warning, Driver Drowsiness Alert, Traffic Sign Recognition, Lane Departure Warning, and Adaptive Cruise Control), Technology (RADAR, LiDAR, and Camera) Asia Pacific Industry Analysis, Size, Share, Growth, Trends, Regional Analysis, Competitor Analysis and Forecast 2024-2032.

Automobile & Transportation | February 2024 | Report ID: EMR00564 | Pages: 301

Asia-Pacific Advanced Driver Assistance System (ADAS) market is predicted to reach approximately USD 12.68 billion by 2032, at a CAGR of 9.23% from 2024 to 2032.

The Asia-Pacific region has emerged as a key hub for the Advanced Driver Assistance System (ADAS) market, witnessing substantial growth and innovation. ADAS encompasses a range of technologies designed to enhance vehicle safety, efficiency, and driver comfort through automation and connectivity features. These systems include adaptive cruise control, lane departure warning, automatic emergency braking, and pedestrian detection, among others. In the Asia-Pacific region, the ADAS market is driven by increasing concerns about road safety, rapid urbanization, and the growing demand for luxury vehicles equipped with advanced safety features. Moreover, stringent government regulations mandating the integration of safety technologies in automobiles further propel market growth. China, Japan, South Korea, and India stand out as key contributors to the region's ADAS market, leveraging their strong automotive manufacturing base and technological prowess to drive innovation and adoption.

 

 

Asia-Pacific Advanced Driver Assistance System (ADAS) report scope and segmentation.

Report Attribute

Details

Estimated Market Value (2023)

USD 5.73 billion

Projected Market Value (2032)

USD 12.68 billion

Base Year

2023

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 Type, By Technology, & Region.

Segments Covered

By Type, By Technology, & By Region.

Forecast Units

Value (USD Billion or Million), 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.

 

Asia-Pacific Advanced Driver Assistance System (ADAS) dynamics

One of the primary drivers is the increasing emphasis on road safety across the region, fuelled by rising concerns over traffic accidents and fatalities. Governments and regulatory bodies are enacting stringent safety standards, mandating the integration of ADAS technologies in vehicles to mitigate risks and improve overall road safety. Moreover, the growing urban population and congestion in major cities have intensified the demand for ADAS-enabled vehicles, as drivers seek solutions to navigate complex traffic environments more safely and efficiently.

Furthermore, a major factor propelling market expansion is the technological innovations and advancements in the automotive sector. More complex ADAS solutions with improved functionalities and performance have been made possible by developments in sensor technology, artificial intelligence, and connectivity. Research and development expenditures for advanced ADAS features that meet changing consumer demands and legal requirements are being made extensively by automakers and technology companies. Furthermore, as more and more electric and autonomous vehicles are being produced in the Asia-Pacific area, there are more opportunities for ADAS integration because these vehicles mainly rely on sophisticated automation and safety technologies to guarantee dependable performance and user acceptance.

 

Asia-Pacific Advanced Driver Assistance System (ADAS) drivers

  • Growing Regulatory Mandates

Asia-Pacific regulatory bodies are progressively enforcing stricter safety regulations and requiring automakers to incorporate advanced driver assistance systems (ADAS) into their automobiles. These laws are the result of increased awareness of traffic safety concerns and a goal to lower the number of fatalities and accidents on the roads. The use of ADAS technologies is being actively encouraged by the governments of nations like China, Japan, and South Korea through laws, rewards, and public awareness initiatives. Because of this, automakers must spend money on R&D in order to comply with these regulations, which propels the expansion of the ADAS market in the area.

  • Technological Advancements

More complex ADAS solutions with improved functionalities and performance are being developed as a result of the quick advances in sensor technology, artificial intelligence, and connectivity. ADAS systems can accurately detect and react to a variety of driving scenarios, such as lane departure, pedestrian detection, and adaptive cruise control, thanks to innovations like LiDAR, radar, and computer vision algorithms. To stay ahead of the technological curve and provide consumers with competitive ADAS solutions, automakers and technology providers are devoting a substantial portion of their resources to research and development. Additionally, there are new chances for market expansion and differentiation due to the growing integration of ADAS with cutting-edge technologies like autonomous driving systems and electric vehicles.

 

Restraints:

  • High Cost of ADAS System

The high cost of ADAS technologies remains a significant barrier to widespread adoption, particularly in price-sensitive markets across the Asia-Pacific region. While demand for safety features is increasing, many consumers are reluctant to pay a premium for ADAS-equipped vehicles, especially in emerging economies where affordability is a primary concern. Additionally, the complexity of ADAS systems and the need for specialized components contribute to higher manufacturing costs, further limiting market penetration and adoption rates.

  • Infrastructure Limitations

The effectiveness of ADAS technologies relies heavily on robust infrastructure, including road networks, signage, and communication systems. However, many regions in the Asia-Pacific face infrastructure challenges such as poor road conditions, inadequate signage, and limited network coverage, which can hinder the performance and reliability of ADAS systems. In urban environments characterized by heavy traffic congestion and unpredictable driving conditions, the effectiveness of ADAS features may be compromised, leading to concerns regarding system reliability and user acceptance.

 

Opportunities:

  • Rising Demand from Emerging Countries  

The Asia-Pacific region presents vast opportunities for market expansion, driven by the growing demand for automobiles and increasing consumer awareness of safety issues. Emerging economies such as India, Indonesia, and Vietnam offer untapped potential for ADAS adoption, as rising incomes and urbanization fuel demand for safer and more technologically advanced vehicles. Moreover, government initiatives to improve road infrastructure and enhance safety standards create a conducive environment for market growth and investment in ADAS technologies.

 

Segment Overview

  • By Type

Segmentation by type highlights the various functionalities and features that ADAS systems offer to drivers and vehicle occupants. Parking Assist Systems utilize sensors and cameras to aid drivers in navigating tight parking spaces, reducing the likelihood of collisions with obstacles or other vehicles. Adaptive Front-lighting systems adjust the direction and intensity of headlights to improve visibility and reduce glare for both the driver and other road users, enhancing safety during nighttime driving and in adverse weather conditions.

Night Vision Systems employ infrared sensors and cameras to detect pedestrians, animals, and obstacles in low-light conditions, providing drivers with enhanced awareness and reaction time to potential hazards. Blind Spot Detection systems monitor blind spots and alert drivers to the presence of vehicles or obstacles in adjacent lanes, reducing the risk of lane-change collisions and improving overall situational awareness.

Advanced Automatic Emergency Braking Systems use sensor data to detect imminent collisions and automatically apply the brakes to mitigate or prevent accidents, enhancing vehicle safety and reducing the severity of collisions. Collision Warning systems provide visual and auditory alerts to drivers when potential collisions are detected, prompting them to take evasive action and avoid accidents.

Driver Drowsiness Alert systems monitor driver behaviour and physiological indicators to detect signs of drowsiness or distraction, issuing warnings to prevent accidents caused by driver fatigue and inattention. Traffic Sign Recognition systems utilize cameras and image processing algorithms to identify and interpret traffic signs, providing drivers with real-time information about speed limits, road conditions, and other regulatory signage.

Lane Departure Warning systems use cameras and sensors to detect unintended lane departures and alert drivers through visual, auditory, or haptic feedback, helping to prevent accidents caused by drifting out of lane. Adaptive Cruise Control systems leverage radar, LiDAR, or camera-based sensors to maintain a safe following distance from preceding vehicles and adjust vehicle speed accordingly, enhancing driving comfort and reducing driver fatigue.

  • By Technology   

Segmentation by technology elucidates the underlying sensors and systems that power ADAS functionalities, enabling the integration of advanced features and capabilities into vehicles. RADAR technology utilizes radio waves to detect objects and obstacles in the vehicle's vicinity, providing accurate distance and speed measurements for adaptive cruise control, collision avoidance, and parking assistance.

LiDAR (Light Detection and Ranging) systems emit laser pulses to create detailed 3D maps of the vehicle's surroundings, enabling precise object detection and spatial awareness for navigation and obstacle avoidance. Camera-based systems capture visual information from the vehicle's environment, including traffic signs, lane markings, and pedestrian movements, enabling functions such as traffic sign recognition, lane departure warning, and pedestrian detection.

By harnessing a combination of these technologies, ADAS systems can offer comprehensive safety and assistance features to drivers, enhancing overall vehicle performance and driving experience. Integration of advanced sensors and algorithms continues to drive innovation in the ADAS market, paving the way for safer, more efficient, and autonomous driving solutions in the future.

 

Asia-Pacific Advanced Driver Assistance System (ADAS) Overview by Region

In the Asia-Pacific region, the Advanced Driver Assistance System (ADAS) market showcases robust growth driven by several key factors. Rapid urbanization, burgeoning economies, and increasing concerns about road safety fuel the demand for ADAS technologies across countries such as China, Japan, South Korea, and India. Governments in these nations are implementing stringent safety regulations and incentives to promote the adoption of ADAS-equipped vehicles, driving market expansion.

China's large automotive industry and rising consumer demand for safety features make it stand out as a major contributor to the Asia-Pacific ADAS market. ADAS technology integration is further encouraged by the nation's ambitious plans for electric and driverless vehicles. Because their automakers pour a lot of money into R&D to improve vehicle performance and safety, South Korea and Japan are also leading the way in ADAS innovation.

India offers a growing market for ADAS technologies because of its growing middle class and rising urbanisation. Despite infrastructure and cost issues, there is a growing demand for cars with ADAS features due to rising disposable incomes and increased awareness of safety concerns.

 

Asia-Pacific Advanced Driver Assistance System (ADAS) market competitive landscape

Established automotive manufacturers such as Toyota, Honda, Hyundai, and Nissan leverage their extensive research and development capabilities, global presence, and brand reputation to introduce innovative ADAS solutions and maintain market leadership. These industry giants invest heavily in technological advancements and strategic partnerships to enhance their product portfolios and stay ahead of competitors.

In addition to traditional automakers, technology companies such as Bosch, Continental, Aptiv, and NVIDIA play a pivotal role in shaping the ADAS market landscape. These companies specialize in developing cutting-edge sensors, software algorithms, and computing platforms that power ADAS functionalities, enabling seamless integration into vehicles from various manufacturers. With a focus on innovation and collaboration, technology providers forge strategic alliances with automakers to co-develop advanced ADAS solutions tailored to meet evolving safety standards and consumer preferences.

 

Asia-Pacific Advanced Driver Assistance System (ADAS) Recent Developments

  • Oct 2022, CARIAD, the software company under the Volkswagen Group, has forged a partnership with Horizon Robotics, a prominent provider of computing solutions for smart vehicles in China. This collaboration aims to expedite the localized advancement of Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) technologies for the Chinese market.  

 

Scope of Asia-Pacific Advanced Driver Assistance System (ADAS) report

Asia-Pacific Advanced Driver Assistance System (ADAS) report segmentation

ATTRIBUTE

DETAILS

By Type  

  • Parking Assist System
  • Adaptive Front-lighting
  • Night Vision System
  • Blind Spot Detection
  • Advanced Automatic Emergency Braking System
  • Collision Warning
  • Driver Drowsiness Alert
  • Traffic Sign Recognition
  • Lane Departure Warning
  • Adaptive Cruise Control

By Technology

  • RADAR
  • LiDAR
  • Camera

By Geography

  • Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)

Customization Scope

  • Available upon request

Pricing

  • Available upon request

 

Objectives of the Study

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

  • Asia-Pacific Advanced Driver Assistance System (ADAS) size and forecast: To identify and estimate the market size for Asia-Pacific Advanced Driver Assistance System (ADAS) market segmented by Type, By Technology, 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 Asia-Pacific Advanced Driver Assistance System (ADAS)
  • Market Influencing Factors: To find out the factors which are affecting the market of Asia-Pacific 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

Asia-Pacific Advanced Driver Assistance System (ADAS) forecast period is 2024 - 2032
According to Asia-Pacific Advanced Driver Assistance System (ADAS) research, the market is expected to grow at a CAGR of ~ 9.23% over the next eight years.
The possible segments in Asia-Pacific Advanced Driver Assistance System (ADAS) are based on by Type, By Technology, & by region.
The expected market size for Asia-Pacific Advanced Driver Assistance System (ADAS) is USD 5.73 billion in 2023.
The major players in the market are Robert Bosch GmbH, Denso Corporation, Continental AG, ZF Friedrichshafen AG and Aptiv Plc (Delphi Technologies).