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市場調查報告書
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1662736

2030 年自動駕駛汽車感測器市場預測：按感測器類型、車輛類型、自動化程度、測量範圍、感測器技術、應用和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球自動駕駛汽車感測器市場規模預計在 2024 年達到 103.7 億美元，到 2030 年將達到 233.7 億美元，預測期內的複合年成長率為 14.5%。自動駕駛汽車感測器對於自動駕駛汽車的安全駕駛和與周圍環境的互動至關重要。雷達感測器用於確定物體的距離和速度，即使在惡劣的天氣條件下也是如此。 LiDAR 感測器可以創建周圍環境的高解析度3D地圖，而攝影機則可以記錄視覺資訊以幫助偵測交通號誌和識別物體。此外，超音波感測器通常用於近距離檢測，尤其是在停車或低速行駛時。這些感測器的組合使自動駕駛汽車能夠識別障礙物，做出準確的導航決策，並保護行人和乘客。

根據世界衛生組織發布的《2018年全球道路安全狀況報告》，2018年道路交通死亡人數達135萬人。交通事故目前是5至29歲人口死亡的主要原因。

自動駕駛汽車研發成本不斷上升

隨著汽車和科技產業不斷探索自動駕駛汽車的潛力，大量資金被投入研發中，以加速自動駕駛汽車 (AV) 技術的創造和商業化。這些投資旨在改進感測器本身，以及結合來自多個感測器的資訊的感測器融合技術，以創建更詳細、更準確的車輛周圍環境影像。此外，LiDAR和雷達等感測器的技術創新不斷加強和成本降低，正在帶來更經濟、更有效的解決方案，預計這將推動自動駕駛汽車感測器市場的成長。

自動駕駛汽車基礎設施不足

自動駕駛汽車的成功部署取決於周圍的基礎設施以及車輛本身。對於製造商來說，一個很大的問題是許多城市和道路尚未配備自動駕駛設施。例如，車道標記不清晰、交叉路口狀況不佳以及標誌不足的道路可能會混淆感測器系統並降低其效率。此外，自動駕駛汽車無法與道路基礎設施通訊，因此自動駕駛汽車必須使用車載感測器做出所有決策，這在某些情況下可能會限制性能。

V2X 與 5G 技術的融合

5G 技術的採用為自動駕駛汽車開闢了新的可能性，因為它可以促進車對車（V2X）通訊，即車輛與基礎設施之間更快、更可靠的通訊。此外，由於 5G 的低延遲和高速連接，自動駕駛汽車、交通燈、路標和道路上的其他車輛都將能夠即時交換資料。這種改進的通訊將使 AV 能夠做出更快的決策、提高安全性並更有效地應對充滿挑戰的環境。與 V2X 技術相結合，感測器系統可以提供有關事故、擁塞和道路狀況的即時訊息，從而提高情境察覺。

網路安全與資料隱私問題風險

自動駕駛汽車（AV）主要依靠感測器、連接和軟體來運行，因此容易受到駭客攻擊和網路攻擊。由於先進感測器和 V2X通訊系統的整合，惡意行為者可能會嘗試利用車載網路中的弱點來攻擊 AV。成功的網路攻擊可能會降低自動駕駛汽車的安全性，從而導致事故和身分盜竊。此外，感測器製造商可能受到嚴格的資料保護條例的約束，例如歐盟的 GDPR，這將迫使他們在強大的網路安全和資料加密方法上進行大量投資。

COVID-19 的影響

自動駕駛汽車感測器市場受到COVID-19疫情的嚴重影響，導致勞動力短缺、供應鏈中斷和工廠關閉，減緩了自動駕駛汽車的開發、測試和部署。由於許多汽車製造商優先考慮眼前生存，因此在景氣衰退期間，對自動駕駛汽車技術（包括感測器開發）的投資有所下降。此外，封鎖期間汽車產業發展放緩，汽車需求下降，減緩了自動駕駛系統的採用。然而，隨著全球經濟穩步改善，人們重新關注非接觸式和無人駕駛技術，引發了人們對安全運輸感測器的興趣。

預計預測期內，LiDAR（光檢測和測距）領域將成為最大的領域。

預計預測期內，LiDAR（光檢測和測距）領域將佔據最大的市場佔有率。 LiDAR 感測器能夠對車輛環境進行精確、高解析度的測繪，這對於自動駕駛汽車的安全運行至關重要，因為它能夠精確偵測物體、障礙物和道路狀況。這些感測器測量距離並使用雷射創建詳細的3D地圖，讓汽車徹底了解周圍環境。此外，儘管價格相對昂貴，但 LiDAR 是實現完全自動駕駛的關鍵要素，並且經常與雷達和攝影機等其他感測器技術結合使用，以提高性能和安全性。

預計預測期內，3 級（有條件自動化）部分將以最高的複合年成長率成長。

預計 3 級（有條件自動化）部分將在預測期內達到最高成長率。在這種自動化程度下，汽車能夠自行管理大部分駕駛業務，但仍有需要人工干預的情況，例如複雜或不可預測的道路狀況。LiDAR、雷達和攝影機等感測器技術的發展實現了更安全的功能和更準確的決策，推動了這一領域的成長。此外，隨著汽車製造商走向有條件自動化，他們正在大力投資感測器和人工智慧（AI）系統，這些系統可以在無需駕駛員持續監控的情況下執行主動車距控制巡航系統、緊急煞車和車道維持等任務。

比最大的地區

預計預測期內北美地區將佔據最大的市場佔有率。主要汽車製造商、科技公司和感測器供應商的強大影響力（尤其是在美國）支撐了該地區的主導地位。北美正在大力投資LiDAR、雷達和攝影機等感測器技術的研發，使其成為自動駕駛汽車開發和測試的領導者。許多引領自動駕駛汽車創新的知名公司都位於美國，包括特斯拉、Waymo 和 Uber。

複合年成長率最高的地區

預計預測期內亞太地區將呈現最高的複合年成長率。這項擴張的關鍵驅動力是汽車產業的爆炸性成長，特別是在中國、日本和韓國等國家，自動駕駛技術的發展正在顯著加速。在鼓勵創新的政策和法律的推動下，中國尤其大力投資自動駕駛汽車和智慧運輸解決方案的開發。此外，隨著消費者對電動和無人駕駛汽車的需求增加，亞太地區正在成為自動駕駛汽車感測器生產和部署的主要中心。

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目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第 5 章。

  • 介紹
  • LiDAR（光檢測與測距）
  • 雷達感測器
  • 超音波感測器
  • 熱感應器
  • 相機感光元件

第6章全球自動駕駛汽車感知器市場（按車型）

  • 介紹
  • 搭乘用車
  • 商用車

7. 全球自動駕駛汽車感知器市場（依自動化程度分類）

  • 介紹
  • 2 級（部分自動化）
  • 第 3 級（條件自動化）
  • 4 級（高級自動化）
  • 5 級（全自動）

8. 全球自動駕駛汽車感測器市場（按測量範圍）

  • 介紹
  • 短程感測器
  • 中程感測器
  • 遠距感測器

9. 全球自動駕駛汽車感測器市場（按感測器技術）

  • 介紹
  • 有源感測器
  • 被動感應器

第 10 章。

  • 介紹
  • 主動車距控制巡航系統
  • 碰撞偵測與避免
  • 車道偏離警示
  • 停車輔助
  • 自主導航

第 11 章。

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.