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ADAS

市場調查報告書

商品編碼

1560868

全球高級駕駛輔助系統市場 - 2024 - 2031

Global Advanced Driver Assistance Systems Market - 2024 - 2031

出版日期: 2024年09月23日 | 出版商:

DataM Intelligence | 英文 221 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

報告概述

2023年全球高級駕駛輔助系統市場規模達449.6億美元，預估至2031年將達1,656.8億美元，2024-2031年預測期間複合年成長率為17.71%。

評估表明，市場成長將主要受到緊湊型乘用車對先進駕駛輔助系統（ADAS）需求不斷成長的推動。政府強制要求在汽車上安裝高級駕駛輔助系統 (ADAS) 的規定日益嚴格，預計這項需求將進一步推動。可支配收入的增加、經濟的穩定以及物質生活方式的日益成長正在推動豪華汽車的全球銷售。

高級駕駛員輔助系統具有感測器、攝影機、雷達和軟體等幾個基本元件，使系統能夠準確運作。自動緊急煞車、停車輔助、自適應巡航控制和車道偏離警告系統是高級駕駛員輔助系統 (ADAS) 所包含的多項功能之一。透過人工智慧（AI）的整合，汽車產業得到了大幅發展。

法國公司 Navya 專門從事用於人員和貨物運輸的 4 級自動駕駛移動技術，該公司已宣布打算在 2022 年將其自動駕駛電動班車的地理覆蓋範圍擴大到中東、日本、美國和蘇格蘭。預計將為市場帶來有利的結果。

市場動態

日益關注道路安全和先進技術

不斷增加的道路事故導致嚴重的交通堵塞和意外死亡。各國交通當局進行的廣泛調查和分析一致表明，事故的主要原因是駕駛員的疏忽和錯誤。聯合國進行的研究表明，全球範圍內每年有超過 130 萬人死於致命交通事故。

此外，各國政府正在大力投資實施先進的安全措施並支持自動駕駛汽車的使用。此外，汽車製造商必須遵守法規並獲得新車評估計畫（NCAP）、公路安全保險研究所（IIHS）和國際汽車技術中心（ICAT）等知名組織的安全評級，才能獲得車輛授權。

從 2019 年至 2020 年開始，多個歐洲國家、美國和韓國已強制要求使用輪胎壓力監測系統 (TMPS)。同時，日本和中國目前正在實施對高級駕駛輔助系統 (ADAS) 功能的要求。此外，2021 年，中國政府和中國工業和資訊化部 (MIIT) 推出了一項專門針對自動駕駛汽車和新興技術的法案。

除了政府的援助外，客戶偏好的變化也促進了市場的擴張。例如，在汽車的煞車系統中，最初廣泛採用的是鼓式煞車。先進碟式煞車的引入促進了防鎖死煞車系統 (ABS) 的發展，該系統現已成為標準做法。因此，市場正在受到政府的支持和消費者的迅速採用的推動。

阻礙汽車 ADAS 發展的挑戰與風險

為了滿足汽車產業對智慧駕駛輔助系統的強勁需求，製造商正在透過對 ADAS 技術進行大量投資來增強其公司基礎設施，以滿足技術要求。除其他功能外，汽車先進的駕駛員輔助系統包括自適應巡航控制、自動緊急煞車和停車輔助。

這些非常先進的技術系統的實施存在許多技術障礙和複雜性。所有這些系統的運作都依賴雷達、感測器、攝影機、製圖和某些軟體應用程式。並非所有感測器都能一致且準確地運作。例如，感測器可能會錯誤地將相鄰車道上的汽車識別為接近車輛，並在行駛時啟動防平衡煞車 (AEB) 系統。因此，過度依賴這些技術可能會故意引入故障和故障的風險。

此外，ADAS中的電子元件故障會導致資訊呈現不準確。網路安全威脅造成的重大漏洞以及系統管理的複雜性可能會導致車輛事故。進階駕駛輔助系統 (ADAS) 中的任何故障或故意缺陷都可能造成重大風險並威脅使用者的生命。

因此，主要利益相關者在配備尖端技術和人工智慧的駕駛輔助系統的研發上投入了大量資金。汽車的高級功能會導致額外的費用，並最終導致車輛起價上漲，這可能會限制該市場在整個預測期內的成長。

細分市場分析

全球先進駕駛輔助系統市場根據類型、產品、車輛和地區進行細分。

乘用車領域主導市場

近年來，乘用車在駕駛員中的受歡迎程度顯著增加，這主要歸功於其有吸引力的設計、較小的尺寸和成本效益。在一些工業化國家，乘用車是主要的出行方式。在生活方式改變、消費能力增強、可支配收入增加、品牌認知度提高和經濟改善的推動下，全球消費者品味的演變正在產生大量乘用車銷售。

電動車需求的激增也導致市場顯著擴大。與 2022 年同期相比，2023 年第一季印度電動車銷量成長了一倍。到 2023 年，SUV 佔乘用車 (PV) 總銷量的 41%，高於 2016 年的 18%。

世界各國政府正在優先制定許多立法政策和法規來監督使用者。擬議的法規要求並促進在車輛中安裝 ADAS 組件，以減少多個國家日益增加的道路事故數量。印度政府先前已強制要求摩托車安裝機動車輛安全系統 (ABS)，其主要目標是提高車輛安全性。

市場地域佔有率

亞太地區預計佔最大佔有率

在快速城市化、經濟富裕和人口成長的推動下，亞洲國家對城市和商業流動性的需求不斷升級。中國、印度和日本等工業化國家是全球最大汽車市場的主要貢獻者。根據國際貿易管理局的資料，就年度銷售和製造產量而言，中國是全球領先的汽車市場。預計2025年國內汽車產量將達3,500萬輛。

亞太國家政府正在推廣使用純電動車 (BEV)、插電式混合動力電動車 (PHEV)，以及某些國家更節能的汽車，作為減少運輸業排放的手段。 IBEF 表示，到 2030 年，印度有潛力成為共享出行領域的領跑者，從而為電動和自動駕駛汽車創造前景。

不同政府實施的《2026 年汽車使命計畫》、報廢政策和與生產掛鉤的獎勵計畫預計將使亞太地區佔據最大的市場佔有率。頒布立法鼓勵在汽車中使用高級駕駛輔助系統 (ADAS) 和安全氣囊等安全技術可能會對行業產生有利影響。

2023年6月，中國工業與資訊化部公佈了促進中國3級以上自動駕駛技術商業化的策略。該機構的主要目標包括與其他公司發展合作夥伴關係、建立蜂窩車輛到一切技術的基礎設施以及開展 3 級試點計畫。

市場競爭格局

市場上主要的全球參與者包括羅伯特博世有限公司、大陸集團、採埃孚股份公司、電裝公司、Aptiv PLC、法雷奧公司、麥格納國際公司、愛信精機有限公司、奧托立夫公司、GENTEX CORPORATION、哈曼國際、現代汽車Mobis、恩智浦半導體、Mobileye、松下公司、瑞薩電子公司。

俄烏戰爭影響分析

曠日持久的俄羅斯-烏克蘭衝突導致全球供應鏈嚴重中斷，特別是在汽車產業，包括高階駕駛輔助系統（ADAS）市場。由於衝突，高級駕駛輔助系統 (ADAS) 的重要組件（例如半導體和感測器）供應不足。此外，衝突也導致原料成本增加和物流協調複雜化，加劇了ADAS技術生產和分銷的挑戰。

此外，地緣政治的不穩定導致一些公司重新評估其在受影響地區的業務。目前的情況導致汽車製造計劃中斷，高級駕駛輔助系統 (ADAS) 的採用速度放緩，特別是在歐洲，而歐洲已經是這些技術的重要市場。圍繞衝突的揮之不去的不確定性繼續對 ADAS 技術的投資決策和市場成長前景產生影響。

人工智慧影響分析

人工智慧和機器學習利用深度學習範式的功能極大地改變了高級駕駛輔助系統 (ADAS)。高級駕駛輔助系統 (ADAS) 廣泛依賴深度學習技術來評估和理解從各種感測器獲取的大量資料。這些感測器的範例包括攝影機、LiDAR（光檢測和測距）、雷達和超音波感測器。

從車輛周圍環境即時獲得的資料包括視覺表示、音訊記錄和感測器的測量結果。機器學習使自動駕駛輔助系統 (ADAS) 能夠從資料中獲取知識、適應新情況並做出明智的判斷，從而顯著增強自動駕駛輔助系統 (ADAS) 的功能。

以下是機器學習如何提升 ADAS 能力：

預測分析：機器學習系統透過分析歷史資料來預測未來的風險和危害。自動駕駛輔助系統 (ADAS) 可以主動協助駕駛員並透過預測可能的危險來最大程度地減少事故。

自適應控制：機器學習允許進階駕駛輔助系統 (ADAS) 根據駕駛員的行為、交通狀況和環境因素調整其配置。適應性的增強可以帶來更個人化的駕駛體驗並提高系統的效率。

決策：機器學習演算法使高階駕駛輔助系統 (ADAS) 能夠快速評估複雜資料，並透過考慮交通密度、天氣和道路狀況等多種因素來做出決策。

由於機器學習和先進駕駛輔助技術之間密不可分的相互作用，汽車產業正在經歷轉型。由人工智慧 (ML) 驅動的高級駕駛員輔助系統 (ADAS) 透過為車輛提供增強的感知、決策能力和自適應控制來增強駕駛安全性和便利性。

儘管存在挑戰，科學家、企業和政策制定者之間對創新和合作的不懈努力無疑將使我們更接近道路自動化和無事故的未來。為了充分實現 ML 驅動的 ADAS 在汽車領域的變革能力，我們必須在實施該技術時優先考慮安全、道德和監管框架。

按類型

自適應巡航控制

自適應光控制

盲點偵測

防撞系統

駕駛員困倦檢測

電子呼叫遠端資訊處理

車道偏離警示系統

夜視儀

停車協助

胎壓監測

其他

透過提供

硬體

網路攝影機單元

雷達感測器

超音波感測器

LiDAR

電子控制單元

其他

軟體

中介軟體

應用軟體

作業系統

搭車

搭乘用車

輕型商用車

巴士和卡車

電動車

純電動車

燃料電池汽車

油電混合車

插電式混合動力汽車

其他

按地區

北美洲

我們

加拿大

墨西哥

歐洲

德國

英國

法國

義大利

西班牙

歐洲其他地區

南美洲

巴西

阿根廷

南美洲其他地區

亞太

中國

印度

日本

澳洲

亞太其他地區

中東和非洲

主要進展

2023 年 6 月，大陸集團宣布有意打造專為印度汽車和摩托車設計的價格實惠的 ADAS（高級駕駛輔助系統）。該公司的目標是提高印度市場汽車的安全性和可負擔性。

2023 年 6 月，大陸集團推出了一款專為汽車設計的新型高性能電腦 (HPC)。該系統將儀表組、資訊娛樂系統和技術駕駛輔助系統 (ADAS) 整合為一個統一的實體。

美國汽車雷達製造商恩智浦半導體於 2023 年 1 月推出了用於下一代高級駕駛輔助系統 (ADAS) 和自動駕駛系統的新型單晶片雷達積體電路 (IC) 系列。處理技術整合到一個晶片中，為一級供應商和原始設備製造商(OEM) 提供了增強的靈活性。

2023 年12 月，全球行動技術提供商ECARX Holdings Inc. 與黑芝麻科技和BlackBerry Limited 建立合作夥伴關係，在領克最高階SUV 領克(Lynk & Co) 上部署Skyland 高級駕駛輔助系統(ADAS) 平台。

2023 年 12 月，著名跨國行動技術公司麥格納 (Magna) 成為瑞典 NorthStar - Telia 和愛立信面向工業企業的 5G 創新計畫的參與者，擴大了其自動駕駛能力。 Telia 和愛立信達成協議，將在瑞典瓦爾加達的麥格納測試跑道上建造專門的、專有的 5G 網路。

為什麼購買報告？

根據類型、產品、車輛和地區可視化全球先進駕駛輔助系統市場細分，並了解關鍵商業資產和參與者。

透過分析趨勢和共同開發來識別商業機會。

Excel資料表包含先進駕駛輔助系統市場所有細分市場的大量資料點。

PDF 報告由詳盡的質性訪談和深入研究後的綜合分析組成。

產品映射以 Excel 形式提供，包含所有主要參與者的關鍵產品。

全球先進駕駛輔助系統市場報告將提供約 77 個表格、66 張圖片和 221 頁。

2024 年目標受眾

製造商/買家

產業投資者/投資銀行家

研究專業人員

新興公司

Assessment indicates that the market growth will be primarily driven by the increasing demand for advanced driver assistance systems (ADAS) in compact passenger automobiles. The demand is expected to be further fueled by the intensifying government rules mandating the installation of Advanced Driver Assistance Systems (ADAS) in automobiles. Increased disposable income, economic stability and a growing inclination towards materialistic lifestyles are fueling the global sales of luxury automobiles.

The Advanced Driver Assistance System has several essential elements like sensors, cameras, radars and software that enable the system to operate with accuracy. Automatic emergency braking, park assist, adaptive cruise control and lane warning departure system are among the several features encompassed by the Advanced Driver Assistance System (ADAS). The automobile sector has been substantially advanced by the integration of Artificial Intelligence (AI).

The French company Navya, which specializes in Level 4 autonomous mobility technology for the transportation of people and goods, has declared its intentions to extend the geographical reach of its autonomous electric shuttles to Middle East, Japan, US and Scotland in 2022. These advancements are anticipated to yield favourable outcomes for the market.

Market Dynamics

Growing Focus on Road Safety and Advanced Technologies

Rising road accidents result in high levels of traffic congestion and unintended fatalities. Extensive surveys and analyses conducted by traffic authorities in different nations have consistently shown that the primary cause of accidents is the negligence and mistakes made by drivers. Research conducted by the United Nations reveals that over 1.3 million individuals succumb to fatal traffic accidents annually on a global scale.

Furthermore, governments are making substantial financial investments in the implementation of advanced safety measures and endorsing the usage of autonomous vehicles. In addition, automotive manufacturers must comply with regulations and acquire safety ratings from established organizations including the New Car Assessment Program (NCAP), the Insurance Institute of Highway Safety (IIHS) and the International Centre for Automotive Technology (ICAT) in order to obtain vehicle authorization.

Commencing in 2019-2020, Tire Pressure Monitoring Systems (TMPS) have been mandated in several European countries, US and South Korea. Concurrently, Japan and China are currently implementing the requirement for this Advanced Driver Assistance Systems (ADAS) capability. Furthermore, in 2021, the Chinese government and the Ministry of Industry and Information Technology (MIIT) China introduced a legislation specifically addressing autonomous vehicles and emerging technologies.

Alongside government assistance, the changing preferences of customers are also contributing to the market's expansion. For example, in the braking system of the car, drum brakes were widely used, initially. The introduction of advanced disc brakes led to the development of Anti-lock Braking Systems (ABS), which have now become the standard practice. Therefore, the market is being driven by the backing of governments and the rapid adoption by consumers.

Challenges And Risks Hindering The Growth Of Automotive ADAS

In response to the strong demand for intelligent driver assistance systems in the automotive industry, manufacturers are enhancing their firm infrastructure by making substantial investments in ADAS technology to fulfill technological requirements. Among other features, the automobile advanced driver aid system includes adaptive cruise control, automated emergency braking and park assist.

The implementation of these very advanced technological systems presents numerous technical obstacle and complexities. The operation of all these systems relies on radars, sensors, cameras, cartography and certain software applications. Not all sensors function consistently and accurately. For example, the sensors may erroneously identify a car in the adjacent lane as an approaching vehicle and activate the Anti-Equilibrium Brakes (AEB) system while driving. Hence, overly depending on these technologies may introduce a deliberate risk of malfunctions and failures.

Moreover, the malfunction of electronic components in the ADAS result in the presentation of inaccurate information. The significant vulnerabilities posed by cyber security threats and the intricate nature of managing the system might result in vehicular accidents. Any failures or intentional flaws in the Advanced Driver Assistance System (ADAS) can pose a significant risk and threaten the lives of users.

Hence, the major stakeholders have made substantial investments in the research and development of driver assistance systems that are equipped with cutting-edge technology and artificial intelligence. Premium features in autos result in extra expenses and ultimately cause an increase in the starting price of vehicles, which could limit the growth of this market throughout the projected period.

Market Segment Analysis

The global advanced driver assistance systems market is segmented based on type, offering, vehicle and region.

The Passenger Cars Segment Dominated The Market

The popularity of passenger cars among drivers has significantly increased in recent years, mostly attributed to their attractive design, small size and cost-effectiveness. In several industrialized nations, passenger vehicles are the predominant means of mobility. The evolution of consumer tastes globally, driven by changing lifestyles, greater spending power, rising disposable incomes, growing brand recognition and improving economy, is generating significant sales of passenger cars.

The surge in demand for electric vehicles also led to notable expansion of the market. Electric vehicle sales in India experienced a twofold increase during the first quarter of 2023 in comparison to the corresponding period in 2022. Increasing demand for SUVs generates lucrative prospects for market participants and serves as a significant catalyst for the expansion of the worldwide passenger automobile industry. By 2023, SUVs accounted for 41% of total passenger vehicle (PV) sales, up from 18% in 2016.

Governments worldwide are prioritizing the development of many legislative policies and regulations to oversee users. Proposed are regulations that would require and promote the installation of ADAS components in vehicles to reduce the increasing number of road accidents in several countries. The Indian government has previously enforced a mandate for Motor Vehicle Safety Systems (ABS) on motorcycles, with the primary objective of enhancing vehicle safety.

Market Geographical Share

Asia Pacific Is Estimated To Account For The Largest Share

Propelled by swift urbanization, economic affluence and a growing population, the demand for urban and commercial mobility in Asian countries has escalated. Industrialized nations such as China, India and Japan are major contributors to the greatest car markets globally. Based on data from the International Trade Administration, China is the leading global market for automobiles in terms of yearly sales and manufacturing output. It is projected that domestic production would reach 35 million vehicles by 2025.

Governments in Asia-Pacific nations are promoting the use of battery electric cars (BEVs), plug-in hybrid electric vehicles (PHEVs) and, in certain countries, more fuel-efficient automobiles as means to reduce emissions from the transportation industry. As per the IBEF, India has the potential to emerge as a frontrunner in shared mobility by 2030, hence creating prospective avenues for electric and autonomous vehicles.

The Automotive Mission Plan 2026, scrappage policy and production-linked incentive schemes implemented by different governments are anticipated to result in Asia-Pacific capturing the largest market share. Enacting legislation to encourage the use of such safety technologies as Advanced Driver Assistance Systems (ADAS) and airbags in automobiles could potentially have a beneficial effect on the industry.

In June 2023, the Ministry of Industry and Information Technology of China unveiled its strategy to facilitate the commercial advancement of Level 3 and above autonomous driving technology in the country. The agency's primary objectives include developing partnerships with other firms, establishing infrastructure for cellular vehicle-to-everything technologies and conducting Level 3 pilot projects.

Market Competitive Landscape

The major global players in the market include Robert Bosch GmbH, Continental AG, ZF Friedrichshafen AG, DENSO CORPORATION, Aptiv PLC, Valeo SA, Magna International Inc., Aisin Seiki Co. Ltd, Autoliv Inc., GENTEX CORPORATION, Harman International, Hyundai Mobis, NXP Semiconductor, Mobileye, Panasonic Corporation, Renesas Electronics Corporation.

Russia-Ukraine War Impact Analysis

The protracted Russian-Ukrainian conflict has resulted in significant interruptions to the global supply chain, particularly in the automobile sector, including the market for Advanced Driver Assistance Systems (ADAS). Insufficient availability of essential components for Advanced Driver Assistance Systems (ADAS), such as semiconductors and sensors, has arisen due to the conflict. Furthermore, the conflict has led to increased costs for raw materials and complicated coordination of logistics, therefore worsening the challenges in producing and distributing ADAS technologies.

Furthermore, the geopolitical instability has led several firms to reassess their operations in the affected regions. The prevailing conditions have led to interruptions in the automotive manufacturing schedule and a slowdown in the adoption of Advanced Driver Assistance Systems (ADAS), particularly in Europe, which was already a substantial market for these technologies. The lingering uncertainties surrounding the conflict continue to exert effect on investment decisions and market growth prospects for ADAS technology.

AI Impact Analysis

Artificial Intelligence and machine learning have greatly transformed the Advanced Driver Assistance System (ADAS) by harnessing the capabilities of deep learning paradigms. Advanced Driver Assistance Systems (ADAS) extensively depend on deep learning techniques to evaluate and understand vast quantities of data acquired from a diverse array of sensors. Examples of these sensors include cameras, LiDAR (Light Detection and Ranging), radar and ultrasonic sensors.

The data obtained in real time from the immediate surroundings of the vehicle includes visual representations, audio recordings and measurements from sensors. Machine learning significantly enhances the capabilities of automated driving assistance systems (ADAS) by enabling them to acquire knowledge from data, adjust to new circumstances and make informed judgments.

The following is how machine learning improves ADAS capabilities:

Predictive Analytics: Machine learning systems predict future risks and hazards by analyzing historical data. Automated Driver Assistance Systems (ADAS) can actively assist the driver and minimize accidents by anticipating possible hazards.

Adaptive Control: Machine Learning allows Advanced Driver Assistance Systems (ADAS) to adjust their configurations based on the driver's behavior, traffic conditions and environmental factors. The increased adaptability allows for a more personalized driving experience and enhances the efficiency of the system.

Decision Making: Machine learning algorithms enable Advanced Driver Assistance Systems (ADAS) to rapidly assess complex data and make decisions by considering several factors such as traffic density, weather and road conditions.

The automotive industry is undergoing transformation due to the inseparable interaction between machine learning and advanced driver aid technologies. Artificial intelligence (ML)-powered Advanced Driver Assistance Systems (ADAS) enhance driving safety and convenience by providing vehicles with enhanced perception, decision-making abilities and adaptive control.

Notwithstanding the existing challenges, the persistent endeavor for innovation and collaboration among scientists, enterprises and policymakers will undoubtedly get us closer to a future where roads are autonomous and devoid of accidents. In order to fully realize the transformative capabilities of ML-driven ADAS in the automotive sector, it is imperative that we prioritize safety, ethics and regulatory frameworks during the implementation of this technology.

By Type

Adaptive Cruise Control

Adaptive Light Control

Blind Spot Detection

Collision Avoidance Systems

Driver Drowsiness Detection

E-Call Telematics

Lane Departure Warning Systems

Night Vision

Parking Assistance

Tire Pressure Monitoring

Others

By Offering

Hardware

Camera Unit

Radar Sensor

Ultrasonic Sensor

LiDAR

ECU

Others

Software

Middleware

Application Software

Operating System

By Vehicle

Passenger Cars

Light Commercial Vehicles

Buses and Trucks

Electric Vehicle

BEV

FCEV

HEV

PHEV

Others

By Region

North America

Canada

Mexico

Europe

Germany

France

Italy

Spain

Rest of Europe

South America

Brazil

Argentina

Rest of South America

Asia-Pacific

China

India

Japan

Australia

Rest of Asia-Pacific

Middle East and Africa

Key Developments

In June 2023, Continental AG declared its intention to create affordable ADAS (Advanced Driver Assistance Systems) specifically designed for Indian automobiles and motorcycles. The company's objective is to enhance the safety and affordability of automobiles in the Indian market.

In June 2023, Continental unveiled a novel high-performance computer (HPC) specifically designed for automobiles. The system consolidates the cluster, infotainment and technical driver-assistance systems (ADAS) into a unified entity.

A new one-chip radar integrated circuit (IC) series for next-generation Advanced Driver Assistance Systems (ADAS) and automated driving systems was introduced by NXP Semiconductors, a US-based automotive radar manufacturer, in January 2023. By integrating NXP's cutting-edge radar detector and processing technologies into a single chip, the SAF85xx series offers tier-one suppliers and original equipment manufacturers (OEMs) enhanced flexibility.

In December 2023, ECARX Holdings Inc., a worldwide provider of mobility technologies, formed a partnership with Black Sesame Technologies and BlackBerry Limited to implement the Skyland Advanced Driver Assistance Systems (ADAS) platform in Lynk & Co's highest-end SUV, the Lynk & Co 08. It entails the incorporation of BlackBerry QNX Neutrino Real-Time Operating System (RTOS) and the Huashan II A1000 ADAS computer chip from Black Sesame Technologies into the ECARX Skyland Pro.

In December 2023, Magna, a prominent multinational mobility technology firm, expanded its automated driving capabilities by becoming a participant in NorthStar - Telia Sweden and Ericsson's 5G innovation initiative for industrial firms. Telia and Ericsson entered into an agreement to construct a specialized, exclusive 5G network at Magna's test track in Vargarda, Sweden.

Why Purchase the Report?

To visualize the global advanced driver assistance systems market segmentation based on type, offering, vehicle and region, as well as understand key commercial assets and players.

Identify commercial opportunities by analyzing trends and co-development.

Excel data sheet with numerous data points of the advanced driver assistance systems market with all segments.

PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.

Product mapping available as Excel consisting of key products of all the major players.

The global advanced driver assistance systems market report would provide approximately 77 tables, 66 figures and 221 pages.

Target Audience 2024

Manufacturers/ Buyers

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Type
3.2. Snippet by Offering
3.3. Snippet by Vehicle
3.4. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Growing Focus on Road Safety and Advanced Technologies
- 4.1.2. Restraints
  - 4.1.2.1. Challenges and Risks Hindering the Growth of Automotive ADAS
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis
5.5. Russia-Ukraine War Impact Analysis
5.6. DMI Opinion

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID-19
- 6.1.2. Scenario During COVID-19
- 6.1.3. Scenario Post COVID-19
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Type

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 7.1.2. Market Attractiveness Index, By Type
7.2. Adaptive Cruise Control*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Adaptive Light Control
7.4. Blind Spot Detection
7.5. Collision Avoidance Systems
7.6. Driver Drowsiness Detection
7.7. E-Call Telematics
7.8. Lane Departure Warning Systems
7.9. Night Vision
7.10. Parking Assistance
7.11. Tire Pressure Monitoring
7.12. Others

8. By Offering

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 8.1.2. Market Attractiveness Index, By Offering
8.2. Hardware*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
- 8.2.3. Camera Unit
- 8.2.4. Radar Sensor
- 8.2.5. Ultrasonic Sensor
- 8.2.6. LiDAR
- 8.2.7. ECU
- 8.2.8. Others
8.3. Software
- 8.3.1. Middleware
- 8.3.2. Application Software
- 8.3.3. Operating System

9. By Vehicle

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 9.1.2. Market Attractiveness Index, By Vehicle
9.2. Passenger Cars*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Light Commercial Vehicles
9.4. Buses and Trucks
9.5. Electric Vehicles
- 9.5.1. BEV
- 9.5.2. FCEV
- 9.5.3. HEV
- 9.5.4. PHEV
9.6. Others

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America*
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.6.1. US
  - 10.2.6.2. Canada
  - 10.2.6.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.6.1. Germany
  - 10.3.6.2. UK
  - 10.3.6.3. France
  - 10.3.6.4. Italy
  - 10.3.6.5. Spain
  - 10.3.6.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.6.1. Brazil
  - 10.4.6.2. Argentina
  - 10.4.6.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle
- 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.6.1. China
  - 10.5.6.2. India
  - 10.5.6.3. Japan
  - 10.5.6.4. Australia
  - 10.5.6.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
- 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
- 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Offering
- 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vehicle

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. Robert Bosch GmbH*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Continental AG
12.3. ZF Friedrichshafen AG
12.4. DENSO CORPORATION
12.5. Aptiv PLC
12.6. Valeo SA
12.7. Magna International Inc.
12.8. Aisin Seiki Co. Ltd
12.9. Autoliv Inc.
12.10. GENTEX CORPORATION
12.11. Panasonic Corporation
12.12. Renesas Electronics Corporation (*LIST NOT EXHAUSTIVE)