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市場調查報告書
商品編碼
1689991
ADAS(高階駕駛輔助系統)市場規模、佔有率及成長分析(按組件、車輛類型、自主性、系統類型、電動車類型和地區)-2025 年至 2032 年產業預測Advanced Driver Assistance Systems Market Size, Share, and Growth Analysis, By Component, By Vehicle type, By Autonomy, By System Type, By Electric Vehicle Type, By Region - Industry Forecast 2025-2032 |
2023 年全球 ADAS(高級駕駛輔助系統)市場規模為 376 億美元,預計將從 2024 年的 424.9 億美元成長到 2032 年的 1129.5 億美元,預測期內(2025-2032 年)的複合年成長率為 13.0%。
由於都市化、技術進步和可支配收入增加等因素,高級駕駛輔助系統 (ADAS) 市場正在經歷強勁成長。這些系統包括各種主動和被動安全功能,例如緊急煞車、停車輔助、主動車距控制巡航系統和車道偏離警告,旨在提高駕駛員、乘客和行人的安全性和舒適度。美國超過 90% 的車禍都是由駕駛失誤造成的,ADAS 在減少事故和提高車輛安全性方面發揮著至關重要的作用。此外,政府對先進技術的大量投資以及要求所有車輛都採用這些系統的規定進一步推動了市場的擴張。隨著汽車產業擁抱人工智慧和安全創新,ADAS 有望持續成長和普及。
Global Advanced Driver Assistance Systems Market size was valued at USD 37.6 billion in 2023 and is poised to grow from USD 42.49 billion in 2024 to USD 112.95 billion by 2032, growing at a CAGR of 13.0% during the forecast period (2025-2032).
The Advanced Driver Assistance Systems (ADAS) market is witnessing robust growth driven by factors such as urbanization, technological advancements, and rising disposable incomes. These systems encompass a range of active and passive safety features, including emergency braking, parking assist, adaptive cruise control, and lane departure warnings, aimed at enhancing the safety and comfort of drivers, passengers, and pedestrians. With over 90% of U.S. motor vehicle crashes attributed to driver error, ADAS plays a crucial role in minimizing accidents and improving vehicle safety. Additionally, significant government investments in advanced technologies and mandates for all vehicles to incorporate these systems are further propelling market expansion. As the automotive sector embraces AI and safety innovations, ADAS is poised for continued growth and widespread adoption.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Advanced Driver Assistance Systems market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Advanced Driver Assistance Systems Market Segments Analysis
Global Advanced Driver Assistance Systems Market is segmented by Component, Vehicle type, Autonomy, System Type, Electric Vehicle Type and region. Based on Component, the market is segmented into Processor, Hardware, Sensors, Software and Others. Based on Vehicle type, the market is segmented into Passenger cars, Light commercial vehicles, Buses and Trucks. Based on Autonomy, the market is segmented into L1, L2, L3, L4 and L5. Based on System Type, the market is segmented into 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. Based on Electric Vehicle Type, the market is segmented into Battery Electric Vehicles, Fuel Cell Electric Vehicles, Hybrid Electric Vehicles and Plug-in Hybrid Electric Vehicles. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Advanced Driver Assistance Systems Market
The Global Advanced Driver Assistance Systems (ADAS) market is driven by the imperative for seamless interaction between drivers and their vehicles to minimize distractions. Key advancements in vision systems, sensors, touchscreen technology, and communication mechanisms foster effective communication with drivers and passengers while stationary. However, the most significant promise lies in enhancing the human-machine interface (HMI) design, which improves user experience. Contactless HMI systems, such as sound-powered advanced driver tracking utilizing eye-tracking technology, enable drivers to engage without physical contact, maintaining steering control. For instance, Texas Instruments' DLP chips in head-up display (HUD) devices project high-contrast imagery, promoting road focus. Consequently, ADAS leverages rapid sensor, HMI, and communication innovations to optimize driving efficiency and lower accident rates.
Restraints in the Global Advanced Driver Assistance Systems Market
While the demand for advanced driver assistance systems (ADAS) in the automotive sector is on the rise, manufacturers face significant challenges in keeping up with the rapid technological advancements required. Companies heavily invested in ADAS are working to enhance systems that incorporate features such as adaptive cruise control, automatic emergency braking, and parking assistance. However, these complex systems, which rely on radar sensors, cameras, and mapping software, often encounter technical difficulties. For instance, sensors could misinterpret a vehicle in an adjacent lane as an oncoming one, triggering inappropriate responses like autonomous emergency braking. Consequently, placing full trust in these systems entails inherent risks related to their reliability and performance.
Market Trends of the Global Advanced Driver Assistance Systems Market
The Global Advanced Driver Assistance Systems (ADAS) market is witnessing a significant trend driven by the increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) algorithms. This technological evolution is markedly enhancing the accuracy and efficiency of ADAS features, facilitating a transition towards more intelligent and autonomous driving solutions. A notable illustration of this trend occurred in September 2023 when the BMW Group chose AWS as its preferred cloud provider for its autonomous driving platform. By harnessing AWS's robust cloud capabilities, BMW aims to innovate its ADAS offerings and introduce advanced features in its forthcoming "Neue Klasse" vehicles, showcasing the pivotal role of cloud technology in shaping the future of automotive safety and automation.