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ADAS

市场调查报告书

商品编码

1560868

全球高级驾驶辅助系统市场 - 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个工作天内

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简介目录

报告概述

2023年全球高级驾驶辅助系统市场规模达449.6亿美元，预估至2031年将达1,656.8亿美元，2024-2031年预测期间复合年增长率为17.71%。

评估表明，市场成长将主要受到紧凑型乘用车对先进驾驶辅助系统（ADAS）需求不断增长的推动。政府强制要求在汽车上安装高级驾驶辅助系统 (ADAS) 的规定日益严格，预计这项需求将进一步推动。可支配收入的增加、经济的稳定以及物质生活方式的日益增长正在推动豪华汽车的全球销售。

高级驾驶员辅助系统具有感测器、摄影机、雷达和软体等几个基本元件，使系统能够准确运作。自动紧急煞车、停车辅助、自适应巡航控制和车道偏离警告系统是高级驾驶员辅助系统 (ADAS) 所包含的多项功能之一。透过人工智慧（AI）的整合，汽车产业得到了大幅发展。

法国公司 Navya 专门从事用于人员和货物运输的 4 级自动驾驶移动技术，该公司已宣布打算在 2022 年将其自动驾驶电动班车的地理覆盖范围扩大到中东、日本、美国和苏格兰。预计将为市场带来有利的结果。

市场动态

日益关注道路安全和先进技术

不断增加的道路事故导致严重的交通拥堵和意外死亡。各国交通当局进行的广泛调查和分析一致表明，事故的主要原因是驾驶员的疏忽和错误。联合国进行的研究表明，全球范围内每年有超过 130 万人死于致命交通事故。

此外，各国政府正在大力投资实施先进的安全措施并支持自动驾驶汽车的使用。此外，汽车製造商必须遵守法规并获得新车评估计画（NCAP）、公路安全保险研究所（IIHS）和国际汽车技术中心（ICAT）等知名组织的安全评级，才能获得车辆授权。

从 2019 年至 2020 年开始，多个欧洲国家、美国和韩国已强制要求使用轮胎压力监测系统 (TMPS)。同时，日本和中国目前正在实施对高级驾驶辅助系统 (ADAS) 功能的要求。此外，2021 年，中国政府和中国工业和资讯化部 (MIIT) 推出了一项专门针对自动驾驶汽车和新兴技术的法案。

除了政府的援助外，客户偏好的变化也促进了市场的扩张。例如，在汽车的煞车系统中，最初广泛采用的是鼓式煞车。先进碟式煞车的引入促进了防锁死煞车系统 (ABS) 的发展，该系统现已成为标准做法。因此，市场正在受到政府的支持和消费者的迅速采用的推动。

阻碍汽车 ADAS 发展的挑战与风险

为了满足汽车产业对智慧驾驶辅助系统的强劲需求，製造商正在透过对 ADAS 技术进行大量投资来增强其公司基础设施，以满足技术要求。除其他功能外，汽车先进的驾驶员辅助系统包括自适应巡航控制、自动紧急煞车和停车辅助。

这些非常先进的技术系统的实施存在许多技术障碍和复杂性。所有这些系统的运作都依赖雷达、感测器、摄影机、製图和某些软体应用程式。并非所有感测器都能一致且准确地运作。例如，感测器可能会错误地将相邻车道上的汽车识别为接近车辆，并在行驶时启动防平衡煞车 (AEB) 系统。因此，过度依赖这些技术可能会故意引入故障和故障的风险。

此外，ADAS中的电子元件故障会导致资讯呈现不准确。网路安全威胁造成的重大漏洞以及系统管理的复杂性可能会导致车辆事故。进阶驾驶辅助系统 (ADAS) 中的任何故障或故意缺陷都可能造成重大风险并威胁使用者的生命。

因此，主要利益相关者在配备尖端技术和人工智慧的驾驶辅助系统的研发上投入了大量资金。汽车的高级功能会导致额外的费用，并最终导致车辆起价上涨，这可能会限制该市场在整个预测期内的成长。

细分市场分析

全球先进驾驶辅助系统市场根据类型、产品、车辆和地区进行细分。

乘用车领域主导市场

近年来，乘用车在驾驶员中的受欢迎程度显着增加，这主要归功于其有吸引力的设计、较小的尺寸和成本效益。在一些工业化国家，乘用车是主要的出行方式。在生活方式改变、消费能力增强、可支配收入增加、品牌认知度提高和经济改善的推动下，全球消费者品味的演变正在产生大量乘用车销售。

电动车需求的激增也导致市场显着扩大。与 2022 年同期相比，2023 年第一季印度电动车销量成长了一倍。到 2023 年，SUV 占乘用车 (PV) 总销量的 41%，高于 2016 年的 18%。

世界各国政府正在优先制定许多立法政策和法规来监督使用者。拟议的法规要求并促进在车辆中安装 ADAS 组件，以减少多个国家日益增加的道路事故数量。印度政府先前已强制要求摩托车安装机动车辆安全系统 (ABS)，其主要目标是提高车辆安全性。

市场地域占有率

亚太地区预计占最大份额

在快速城市化、经济富裕和人口成长的推动下，亚洲国家对城市和商业流动性的需求不断升级。中国、印度和日本等工业化国家是全球最大汽车市场的主要贡献者。根据国际贸易管理局的资料，就年度销售和製造产量而言，中国是全球领先的汽车市场。预计2025年国内汽车产量将达3,500万辆。

亚太国家政府正在推广使用纯电动车 (BEV)、插电式混合动力电动车 (PHEV)，以及某些国家更节能的汽车，作为减少运输业排放的手段。 IBEF 表示，到 2030 年，印度有潜力成为共享出行领域的领跑者，从而为电动和自动驾驶汽车创造前景。

不同政府实施的《2026 年汽车使命计画》、报废政策和与生产挂钩的奖励计画预计将使亚太地区占据最大的市场份额。颁布立法鼓励在汽车中使用高级驾驶辅助系统 (ADAS) 和安全气囊等安全技术可能会对行业产生有利影响。

2023年6月，中国工业与资讯化部公布了促进中国3级以上自动驾驶技术商业化的策略。该机构的主要目标包括与其他公司发展合作伙伴关係、建立蜂窝车辆到一切技术的基础设施以及开展 3 级试点计画。

市场竞争格局

市场上主要的全球参与者包括罗伯特博世有限公司、大陆集团、采埃孚股份公司、电装公司、Aptiv PLC、法雷奥公司、麦格纳国际公司、爱信精机有限公司、奥托立夫公司、GENTEX CORPORATION、哈曼国际、现代汽车Mobis、恩智浦半导体、Mobileye、松下公司、瑞萨电子公司。

俄乌战争影响分析

旷日持久的俄罗斯-乌克兰衝突导致全球供应链严重中断，特别是在汽车产业，包括高阶驾驶辅助系统（ADAS）市场。由于衝突，高级驾驶辅助系统 (ADAS) 的重要组件（例如半导体和感测器）供应不足。此外，衝突也导致原材料成本增加和物流协调复杂化，加剧了ADAS技术生产和分销的挑战。

此外，地缘政治的不稳定导致一些公司重新评估其在受影响地区的业务。目前的情况导致汽车製造计划中断，高级驾驶辅助系统 (ADAS) 的采用速度放缓，特别是在欧洲，而欧洲已经是这些技术的重要市场。围绕衝突的挥之不去的不确定性继续对 ADAS 技术的投资决策和市场成长前景产生影响。

人工智慧影响分析

人工智慧和机器学习利用深度学习范式的功能极大地改变了高级驾驶辅助系统 (ADAS)。高级驾驶辅助系统 (ADAS) 广泛依赖深度学习技术来评估和理解从各种感测器获取的大量资料。这些感测器的范例包括摄影机、LiDAR（光检测和测距）、雷达和超音波感测器。

从车辆周围环境即时获得的资料包括视觉表示、音讯记录和感测器的测量结果。机器学习使自动驾驶辅助系统 (ADAS) 能够从资料中获取知识、适应新情况并做出明智的判断，从而显着增强自动驾驶辅助系统 (ADAS) 的功能。

以下是机器学习如何提升 ADAS 能力：

预测分析：机器学习系统透过分析历史资料来预测未来的风险和危害。自动驾驶辅助系统 (ADAS) 可以主动协助驾驶员并透过预测可能的危险来最大程度地减少事故。

自适应控制：机器学习允许进阶驾驶辅助系统 (ADAS) 根据驾驶员的行为、交通状况和环境因素调整其配置。适应性的增强可以带来更个人化的驾驶体验并提高系统的效率。

决策：机器学习演算法使高阶驾驶辅助系统 (ADAS) 能够快速评估复杂资料，并透过考虑交通密度、天气和道路状况等多种因素来做出决策。

由于机器学习和先进驾驶辅助技术之间密不可分的相互作用，汽车产业正在经历转型。由人工智慧 (ML) 驱动的高级驾驶员辅助系统 (ADAS) 透过为车辆提供增强的感知、决策能力和自适应控制来增强驾驶安全性和便利性。

儘管存在挑战，科学家、企业和政策制定者之间对创新和合作的不懈努力无疑将使我们更接近道路自动化和无事故的未来。为了充分实现 ML 驱动的 ADAS 在汽车领域的变革能力，我们必须在实施该技术时优先考虑安全、道德和监管框架。

按类型

自适应巡航控制

自适应光控制

盲点侦测

防撞系统

驾驶员困倦检测

电子呼叫远端资讯处理

车道偏离警示系统

夜视仪

停车协助

胎压监测

其他的

透过提供

硬体

网路摄影机单元

雷达感测器

超音波感测器

光达

电子控制单元

其他的

软体

中介软体

应用软体

作业系统

搭车

搭乘用车

轻型商用车

巴士和卡车

电动车

纯电动车

燃料电池汽车

油电混合车

插电式混合动力汽车

其他的

按地区

北美洲

我们

加拿大

墨西哥

欧洲

德国

英国

法国

义大利

西班牙

欧洲其他地区

南美洲

巴西

阿根廷

南美洲其他地区

亚太

中国

印度

日本

澳洲

亚太其他地区

中东和非洲

主要进展

2023 年 6 月，大陆集团宣布有意打造专为印度汽车和摩托车设计的价格实惠的 ADAS（高级驾驶辅助系统）。该公司的目标是提高印度市场汽车的安全性和可负担性。

2023 年 6 月，大陆集团推出了一款专为汽车设计的新型高性能电脑 (HPC)。该系统将仪表组、资讯娱乐系统和技术驾驶辅助系统 (ADAS) 整合为一个统一的实体。

美国汽车雷达製造商恩智浦半导体于 2023 年 1 月推出了用于下一代高级驾驶辅助系统 (ADAS) 和自动驾驶系统的新型单晶片雷达积体电路 (IC) 系列。处理技术整合到一个晶片中，为一级供应商和原始设备製造商(OEM) 提供了增强的灵活性。

2023 年12 月，全球行动技术提供商ECARX Holdings Inc. 与黑芝麻科技和BlackBerry Limited 建立合作伙伴关係，在领克最高端SUV 领克(Lynk & Co) 上部署Skyland 高级驾驶辅助系统(ADAS) 平台。

2023 年 12 月，着名跨国行动技术公司麦格纳 (Magna) 成为瑞典 NorthStar - Telia 和爱立信面向工业企业的 5G 创新计画的参与者，扩大了其自动驾驶能力。 Telia 和爱立信达成协议，将在瑞典瓦尔加达的麦格纳测试跑道上建造专门的、专有的 5G 网路。

为什么购买报告？

根据类型、产品、车辆和地区可视化全球先进驾驶辅助系统市场细分，并了解关键商业资产和参与者。

透过分析趋势和共同开发来识别商业机会。

Excel资料表包含先进驾驶辅助系统市场所有细分市场的大量资料点。

PDF 报告由详尽的质性访谈和深入研究后的综合分析组成。

产品映射以 Excel 形式提供，包含所有主要参与者的关键产品。

全球先进驾驶辅助系统市场报告将提供约 77 个表格、66 张图片和 221 页。

2024 年目标受众

製造商/买家

产业投资者/投资银行家

研究专业人员

新兴公司

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)