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市场调查报告书
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2030 年自动驾驶汽车感测器市场预测：按感测器类型、车辆类型、自动化程度、测量范围、感测器技术、应用和地区进行的全球分析

Autonomous Vehicle Sensors Market Forecasts to 2030 - Global Analysis By Sensor Type, Vehicle Type, Level of Automation, Range, Sensor Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球自动驾驶汽车感测器市场规模预计在 2024 年达到 103.7 亿美元，到 2030 年将达到 233.7 亿美元，预测期内的复合年增长率为 14.5%。自动驾驶汽车感测器对于自动驾驶汽车的安全驾驶和与周围环境的互动至关重要。雷达感测器用于确定物体的距离和速度，即使在恶劣的天气条件下也是如此。 LiDAR 感测器可以创建周围环境的高解析度3D地图，而摄影机则可以记录视觉资讯以帮助侦测交通号誌和识别物体。此外，超音波感测器通常用于近距离检测，尤其是在停车或低速行驶时。这些感测器的组合使自动驾驶汽车能够识别障碍物，做出准确的导航决策，并保护行人和乘客。

根据世界卫生组织发布的《2018年全球道路安全状况报告》，2018年道路交通死亡人数达135万人。交通事故目前是5至29岁人口死亡的主要原因。

自动驾驶汽车研发成本不断上升

随着汽车和科技产业不断探索自动驾驶汽车的潜力，大量资金被投入研发中，以加速自动驾驶汽车 (AV) 技术的创造和商业化。这些投资旨在改进感测器本身，以及结合来自多个感测器的资讯的感测器融合技术，以创建更详细、更准确的车辆周围环境影像。此外，光达和雷达等感测器的技术创新不断加强和成本降低，正在带来更经济、更有效的解决方案，预计这将推动自动驾驶汽车感测器市场的成长。

自动驾驶汽车基础设施不足

自动驾驶汽车的成功部署取决于周围的基础设施以及车辆本身。对于製造商来说，一个很大的问题是许多城市和道路尚未配备自动驾驶设施。例如，车道标记不清晰、交叉路口状况不佳以及标誌不足的道路可能会混淆感测器系统并降低其效率。此外，自动驾驶汽车无法与道路基础设施通讯，因此自动驾驶汽车必须使用车载感测器做出所有决策，这在某些情况下可能会限制性能。

V2X 与 5G 技术的融合

5G 技术的采用为自动驾驶汽车开闢了新的可能性，因为它可以促进车对车（V2X）通讯，即车辆与基础设施之间更快、更可靠的通讯。此外，由于 5G 的低延迟和高速连接，自动驾驶汽车、交通灯、路标和道路上的其他车辆都将能够即时交换资料。这种改进的通讯将使 AV 能够做出更快的决策、提高安全性并更有效地应对充满挑战的环境。与 V2X 技术相结合，感测器系统可以提供有关事故、拥塞和道路状况的即时讯息，从而提高情境察觉。

网路安全与资料隐私问题风险

自动驾驶汽车（AV）主要依靠感测器、连接和软体来运行，因此容易受到骇客攻击和网路攻击。由于先进感测器和 V2X通讯系统的集成，恶意行为者可能会尝试利用车载网路中的弱点来攻击 AV。成功的网路攻击可能会降低自动驾驶汽车的安全性，从而导致事故和身分盗窃。此外，感测器製造商可能受到严格的资料保护条例的约束，例如欧盟的 GDPR，这将迫使他们在强大的网路安全和资料加密方法上进行大量投资。

COVID-19 的影响

自动驾驶汽车感测器市场受到COVID-19疫情的严重影响，导致劳动力短缺、供应链中断和工厂关闭，减缓了自动驾驶汽车的开发、测试和部署。由于许多汽车製造商优先考虑眼前生存，因此在景气衰退期间，对自动驾驶汽车技术（包括感测器开发）的投资有所下降。此外，封锁期间汽车产业发展放缓，汽车需求下降，减缓了自动驾驶系统的采用。然而，随着全球经济稳步改善，人们重新关注非接触式和无人驾驶技术，引发了人们对安全运输感测器的兴趣。

预计预测期内，LiDAR（光检测和测距）领域将成为最大的领域。

预计预测期内，LiDAR（光检测和测距）领域将占据最大的市场占有率。 LiDAR 感测器能够对车辆环境进行精确、高解析度的测绘，这对于自动驾驶汽车的安全运行至关重要，因为它能够精确侦测物体、障碍物和道路状况。这些感测器测量距离并使用雷射创建详细的3D地图，让汽车彻底了解周围环境。此外，儘管价格相对昂贵，但 LiDAR 是实现完全自动驾驶的关键要素，并且经常与雷达和摄影机等其他感测器技术结合使用，以提高性能和安全性。

预计预测期内，3 级（有条件自动化）部分将以最高的复合年增长率成长。

预计 3 级（有条件自动化）部分将在预测期内达到最高成长率。在这种自动化程度下，汽车能够自行管理大部分驾驶业务，但仍有需要人工干预的情况，例如复杂或不可预测的道路状况。光达、雷达和摄影机等感测器技术的发展实现了更安全的功能和更准确的决策，推动了这一领域的成长。此外，随着汽车製造商走向有条件自动化，他们正在大力投资感测器和人工智慧（AI）系统，这些系统可以在无需驾驶员持续监控的情况下执行主动车距控制巡航系统、紧急煞车和车道维持等任务。

比最大的地区

预计预测期内北美地区将占据最大的市场占有率。主要汽车製造商、科技公司和感测器供应商的强大影响力（尤其是在美国）支撑了该地区的主导地位。北美正在大力投资光达、雷达和摄影机等感测器技术的研发，使其成为自动驾驶汽车开发和测试的领导者。许多引领自动驾驶汽车创新的知名公司都位于美国，包括特斯拉、Waymo 和 Uber。

复合年增长率最高的地区

预计预测期内亚太地区将呈现最高的复合年增长率。这项扩张的关键驱动力是汽车产业的爆炸性成长，特别是在中国、日本和韩国等国家，自动驾驶技术的发展正在显着加速。在鼓励创新的政策和法律的推动下，中国尤其大力投资自动驾驶汽车和智慧运输解决方案的开发。此外，随着消费者对电动和无人驾驶汽车的需求增加，亚太地区正在成为自动驾驶汽车感测器生产和部署的主要中心。

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目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第 5 章。

  • 介绍
  • LiDAR（光检测与测距）
  • 雷达感测器
  • 超音波感测器
  • 热感应器
  • 相机感光元件

第六章全球自动驾驶汽车感知器市场（按车型）

  • 介绍
  • 搭乘用车
  • 商用车

7. 全球自动驾驶汽车感知器市场（依自动化程度划分）

  • 介绍
  • 2 级（部分自动化）
  • 第 3 级（条件自动化）
  • 4 级（高级自动化）
  • 5 级（全自动）

8. 全球自动驾驶汽车感测器市场（按测量范围）

  • 介绍
  • 短程感测器
  • 中程感测器
  • 远距感测器

9. 全球自动驾驶汽车感测器市场（按感测器技术）

  • 介绍
  • 有源感测器
  • 被动感应器

第 10 章。

  • 介绍
  • 主动车距控制巡航系统
  • 碰撞侦测与避免
  • 车道偏离警示
  • 停车辅助
  • 自主导航

第 11 章。

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Velodyne Lidar
  • Luminar Technologies
  • Aeva Technologies
  • Innoviz Technologies
  • Ouster
  • Hesai Group
  • Mobileye Global Inc.
  • Robert Bosch GmbH
  • Continental AG
  • Valeo
  • Aptiv
  • ZF Friedrichshafen AG
  • Magna International
  • Denso Corporation
  • Quanergy Systems
  • Horizon Robotics
Product Code: SMRC28597

According to Stratistics MRC, the Global Autonomous Vehicle Sensors Market is accounted for $10.37 billion in 2024 and is expected to reach $23.37 billion by 2030 growing at a CAGR of 14.5% during the forecast period. Autonomous vehicle sensors are essential for allowing self-driving cars to safely navigate and engage with their surroundings. Radar sensors are used to determine an object's distance and speed, even in bad weather. While LiDAR sensors produce high-resolution three-dimensional maps of the surroundings, cameras record visual information to help detect traffic signals and identify objects. Moreover, for close-range detection, especially when parking or making low-speed maneuvers, ultrasonic sensors are frequently used. By combining these sensors, autonomous cars are able to identify obstructions, make accurate navigational decisions, and protect pedestrians and passengers.

According to the Global Status Report on Road Safety 2018, published by the World Health Organization (WHO), the number of annual road traffic deaths reached 1.35 million in 2018. Road traffic injuries are now the leading killer of people aged 5-29 years.

Market Dynamics:

Driver:

Increasing R&D spending on autonomous vehicles

Large sums of money are being spent on research and development to hasten the creation and commercialization of autonomous vehicle (AV) technologies as the automotive and technology industries continue to investigate the possibilities of AVs. Along with improving the sensors themselves, these investments are also aimed at improving sensor fusion technologies, which integrate information from several sensors to produce a more thorough and precise picture of the vehicle's surroundings. Additionally, the market for sensors for autonomous vehicles is expected to grow as a result of the push for innovation and cost reduction in sensors, such as LiDAR and radar, which are producing more economical and effective solutions.

Restraint:

Inadequate autonomous vehicle infrastructure

Autonomous vehicle deployment success depends on the surrounding infrastructure in addition to the vehicles themselves. A major problem for manufacturers is that many cities and roads are not set up to accommodate autonomous driving. Roads with unclear lane markings, shoddy intersections, or insufficient signage, for instance, can confuse sensor systems and reduce their efficiency. Furthermore, because autonomous vehicles and road infrastructure cannot communicate, AVs must make all of their decisions using onboard sensors, which may result in performance limitations in some situations.

Opportunity:

Fusion of V2X and 5G technologies

The introduction of 5G technology is creating new possibilities for self-driving cars by facilitating Vehicle-to-Everything (V2X) communication-faster, more dependable communication between cars and infrastructure. Moreover, autonomous vehicles, traffic lights, road signs, and other vehicles on the road can all exchange data in real time owing to 5G's low latency and fast connectivity. Because of this improved communication, AVs can make decisions more quickly, increase safety, and navigate challenging environments more effectively. Together with V2X technologies, sensor systems can enhance situational awareness by providing real-time information about accidents, traffic jams, and road conditions.

Threat:

Risks to cybersecurity and data privacy issues

Autonomous vehicles (AVs) are susceptible to hacking attempts and cyber attacks since they mainly depend on sensors, connectivity, and software to function. Malicious actors may target AVs in an attempt to take advantage of weaknesses in vehicle networks due to the integration of sophisticated sensors and V2X communication systems. Autonomous vehicle safety could be jeopardized by a successful cyber attack, which could result in mishaps or the theft of private information. Additionally, sensor manufacturers may be subject to stringent data protection regulations, such as the GDPR in the EU, which would compel them to make significant investments in strong cybersecurity and data encryption methods.

Covid-19 Impact:

The market for autonomous vehicle sensors was greatly impacted by the COVID-19 pandemic, which resulted in labor shortages, supply chain disruptions, and factory closures that delayed the development, testing, and deployment of autonomous vehicles. Investments in autonomous vehicle technology, including sensor development, were reduced during the economic downturn as many automakers prioritized their immediate survival. Furthermore, the adoption of autonomous systems was delayed as a result of the slowdown in the automotive industry and the decreased demand for vehicles during lockdowns. But as the world economy steadily improved, contactless and driverless technologies gained attention again, which sparked interest in sensors for secure transportation.

The LiDAR (Light Detection and Ranging) segment is expected to be the largest during the forecast period

The LiDAR (Light Detection and Ranging) segment is expected to account for the largest market share during the forecast period. The precise and high-resolution mapping of the vehicle's environment made possible by LiDAR sensors is crucial for the safe operation of autonomous vehicles because it enables the precise detection of objects, obstacles, and road conditions. These sensors give the car a thorough awareness of its surroundings by measuring distances and producing a detailed three-dimensional map of the area using laser beams. Moreover, LiDAR is still a crucial component of complete autonomy despite its comparatively high cost, and it is frequently combined with other sensor technologies like radar and cameras to improve performance and safety.

The Level 3 (Conditional Automation) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Level 3 (Conditional Automation) segment is predicted to witness the highest growth rate. At this degree of automation, cars can manage the majority of driving duties on their own, but in some circumstances-like complicated or unpredictable road conditions-human intervention is necessary. The development of sensor technologies like LiDAR, radar, and cameras, which allow for safer features and more precise decision-making, is what is driving this segment's growth. Additionally, major investments are being made in sensors and artificial intelligence (AI) systems that can carry out tasks like adaptive cruise control, emergency braking, and lane-keeping without constant driver supervision as automakers strive toward conditional automation.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Strong presences of significant automakers, tech firms, and sensor suppliers-especially in the US-are what propel the region's dominance. North America has made significant investments in research and development for sensor technologies like LiDAR, radar, and cameras, positioning it as a leader in the creation and testing of autonomous vehicles. Numerous well-known businesses that are leading the way in autonomous vehicle innovation are based in the United States, including Tesla, Waymo, and Uber.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. The automotive industry's explosive growth, particularly in nations like China, Japan, and South Korea where developments in autonomous driving technologies are accelerating significantly, is the main driver of this expansion. China, in particular, is making significant investments in the development of autonomous vehicles and smart mobility solutions, aided by policies and laws that promote creativity. Moreover, the Asia Pacific region is becoming a major hub for the production and deployment of autonomous vehicle sensors as consumer demand for electric and driverless vehicles increases.

Key players in the market

Some of the key players in Autonomous Vehicle Sensors market include Velodyne Lidar, Luminar Technologies, Aeva Technologies, Innoviz Technologies, Ouster, Hesai Group, Mobileye Global Inc., Robert Bosch GmbH, Continental AG, Valeo, Aptiv, ZF Friedrichshafen AG, Magna International, Denso Corporation, Quanergy Systems and Horizon Robotics.

Key Developments:

In September 2024, Continental and Vitesco Technologies have reached an agreement based on their corporate separation agreement regarding the appropriate allocation of costs and liabilities from the investigations in connection with the supply of engine control units and engine control software.

In August 2024, DENSO Corporation announced that it has signed a manufacturing license agreement with Ceres Power Holdings (CWR.L), a leading developer of solid oxide cell stack technology. DENSO aims to advance the early practical application of Solid Oxide Electrolysis Cells (SOECs)*1 that produce hydrogen through water electrolysis.

In February 2023, Self-driving sensor maker Luminar Technologies Inc announced an expanded partnership with Mercedes-Benz Group on Wednesday to enable fully automated driving for its next-generation vehicles. Automakers from Tesla Inc to General Motors are focusing on autonomous vehicles, but technological and regulatory hurdles remain.

Sensor Types Covered:

  • LiDAR (Light Detection and Ranging)
  • Radar Sensors
  • Ultrasonic Sensors
  • Thermal Sensors
  • Camera Sensors

Vehicle Types Covered:

  • Passenger Vehicles
  • Commercial Vehicles

Level of Automations Covered:

  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Ranges Covered:

  • Short-Range Sensors
  • Medium-Range Sensors
  • Long-Range Sensors

Sensor Technologies Covered:

  • Active Sensors
  • Passive Sensors

Applications Covered:

  • Adaptive Cruise Control
  • Collision Detection and Avoidance
  • Lane Departure Warning
  • Parking Assistance
  • Autonomous Navigation

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Autonomous Vehicle Sensors Market, By Sensor Type

  • 5.1 Introduction
  • 5.2 LiDAR (Light Detection and Ranging)
  • 5.3 Radar Sensors
  • 5.4 Ultrasonic Sensors
  • 5.5 Thermal Sensors
  • 5.6 Camera Sensors

6 Global Autonomous Vehicle Sensors Market, By Vehicle Type

  • 6.1 Introduction
  • 6.2 Passenger Vehicles
  • 6.3 Commercial Vehicles

7 Global Autonomous Vehicle Sensors Market, By Level of Automation

  • 7.1 Introduction
  • 7.2 Level 2 (Partial Automation)
  • 7.3 Level 3 (Conditional Automation)
  • 7.4 Level 4 (High Automation)
  • 7.5 Level 5 (Full Automation)

8 Global Autonomous Vehicle Sensors Market, By Range

  • 8.1 Introduction
  • 8.2 Short-Range Sensors
  • 8.3 Medium-Range Sensors
  • 8.4 Long-Range Sensors

9 Global Autonomous Vehicle Sensors Market, By Sensor Technology

  • 9.1 Introduction
  • 9.2 Active Sensors
  • 9.3 Passive Sensors

10 Global Autonomous Vehicle Sensors Market, By Application

  • 10.1 Introduction
  • 10.2 Adaptive Cruise Control
  • 10.3 Collision Detection and Avoidance
  • 10.4 Lane Departure Warning
  • 10.5 Parking Assistance
  • 10.6 Autonomous Navigation

11 Global Autonomous Vehicle Sensors Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Velodyne Lidar
  • 13.2 Luminar Technologies
  • 13.3 Aeva Technologies
  • 13.4 Innoviz Technologies
  • 13.5 Ouster
  • 13.6 Hesai Group
  • 13.7 Mobileye Global Inc.
  • 13.8 Robert Bosch GmbH
  • 13.9 Continental AG
  • 13.10 Valeo
  • 13.11 Aptiv
  • 13.12 ZF Friedrichshafen AG
  • 13.13 Magna International
  • 13.14 Denso Corporation
  • 13.15 Quanergy Systems
  • 13.16 Horizon Robotics

List of Tables

  • Table 1 Global Autonomous Vehicle Sensors Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Autonomous Vehicle Sensors Market Outlook, By Sensor Type (2022-2030) ($MN)
  • Table 3 Global Autonomous Vehicle Sensors Market Outlook, By LiDAR (Light Detection and Ranging) (2022-2030) ($MN)
  • Table 4 Global Autonomous Vehicle Sensors Market Outlook, By Radar Sensors (2022-2030) ($MN)
  • Table 5 Global Autonomous Vehicle Sensors Market Outlook, By Ultrasonic Sensors (2022-2030) ($MN)
  • Table 6 Global Autonomous Vehicle Sensors Market Outlook, By Thermal Sensors (2022-2030) ($MN)
  • Table 7 Global Autonomous Vehicle Sensors Market Outlook, By Camera Sensors (2022-2030) ($MN)
  • Table 8 Global Autonomous Vehicle Sensors Market Outlook, By Vehicle Type (2022-2030) ($MN)
  • Table 9 Global Autonomous Vehicle Sensors Market Outlook, By Passenger Vehicles (2022-2030) ($MN)
  • Table 10 Global Autonomous Vehicle Sensors Market Outlook, By Commercial Vehicles (2022-2030) ($MN)
  • Table 11 Global Autonomous Vehicle Sensors Market Outlook, By Level of Automation (2022-2030) ($MN)
  • Table 12 Global Autonomous Vehicle Sensors Market Outlook, By Level 2 (Partial Automation) (2022-2030) ($MN)
  • Table 13 Global Autonomous Vehicle Sensors Market Outlook, By Level 3 (Conditional Automation) (2022-2030) ($MN)
  • Table 14 Global Autonomous Vehicle Sensors Market Outlook, By Level 4 (High Automation) (2022-2030) ($MN)
  • Table 15 Global Autonomous Vehicle Sensors Market Outlook, By Level 5 (Full Automation) (2022-2030) ($MN)
  • Table 16 Global Autonomous Vehicle Sensors Market Outlook, By Range (2022-2030) ($MN)
  • Table 17 Global Autonomous Vehicle Sensors Market Outlook, By Short-Range Sensors (2022-2030) ($MN)
  • Table 18 Global Autonomous Vehicle Sensors Market Outlook, By Medium-Range Sensors (2022-2030) ($MN)
  • Table 19 Global Autonomous Vehicle Sensors Market Outlook, By Long-Range Sensors (2022-2030) ($MN)
  • Table 20 Global Autonomous Vehicle Sensors Market Outlook, By Sensor Technology (2022-2030) ($MN)
  • Table 21 Global Autonomous Vehicle Sensors Market Outlook, By Active Sensors (2022-2030) ($MN)
  • Table 22 Global Autonomous Vehicle Sensors Market Outlook, By Passive Sensors (2022-2030) ($MN)
  • Table 23 Global Autonomous Vehicle Sensors Market Outlook, By Application (2022-2030) ($MN)
  • Table 24 Global Autonomous Vehicle Sensors Market Outlook, By Adaptive Cruise Control (2022-2030) ($MN)
  • Table 25 Global Autonomous Vehicle Sensors Market Outlook, By Collision Detection and Avoidance (2022-2030) ($MN)
  • Table 26 Global Autonomous Vehicle Sensors Market Outlook, By Lane Departure Warning (2022-2030) ($MN)
  • Table 27 Global Autonomous Vehicle Sensors Market Outlook, By Parking Assistance (2022-2030) ($MN)
  • Table 28 Global Autonomous Vehicle Sensors Market Outlook, By Autonomous Navigation (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.