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市场调查报告书
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1876605

汽车防碰撞雷达市场机会、成长驱动因素、产业趋势分析及预测（2025-2034年）

Automotive Collision Avoidance Radar Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034
出版日期: | 出版商: Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024 年全球汽车防碰撞雷达市场价值为 37.9 亿美元，预计到 2034 年将以 14.5% 的复合年增长率增长至 146.9 亿美元。

汽车防碰撞雷达市场 - IMG1

道路安全日益受到重视，以及减少人为失误导致的交通事故的需求不断增长，推动了基于雷达的安全系统在车辆中的应用。这些系统具备主动探测和反应能力，能够识别静止和移动的障碍物，使车辆能够有效应对潜在危险。感测器技术的进步推动了雷达在现代车辆中的稳步集成，使得雷达能够应用于短程和远程探测，从而在复杂的交通环境中探测行人、骑行者和其他车辆。儘管雷达系统已相当有效，但某些应用仍需要更远的探测距离，尤其是在探测较小或隐藏的障碍物时。然而，随着雷达技术的不断发展和製造成本的下降，其在商用车队、售后市场系统和自动驾驶平台中的应用潜力正在迅速扩大。在交通安全资料分析和主要交通管理机构研究的日益支持下，基于雷达的防撞系统正成为下一代车辆安全和自动驾驶技术的基石。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 37.9亿美元
预测值 146.9亿美元
复合年增长率 14.5%

到2024年，硬体部分将占据72%的市场。硬体仍然是防碰撞雷达系统的核心要素，因为法规通常要求配备实体感测器，以确保可靠的侦测和响应功能。随着製造商为满足更高的性能和合规性要求而做好准备，车辆安全监管标准预计也将推动新车型对雷达组件的额外需求。

2025年至2034年间，乘用车市场将以15.2%的复合年增长率成长。该市场的主导地位归功于乘用车的大规模生产以及先进安全系统在该类别中日益普及。乘用车雷达应用的增加也促进了强大的售后市场生态系统的发展，该系统支援雷达硬体、整合感测器融合软体和服务解决方案，使供应商能够在保持成本效益的同时高效扩大生产规模。

2024年，美国汽车防碰撞雷达市场规模预计将达7.318亿美元。监管政策仍然是该地区雷达应用的重要驱动因素。雷达与高级驾驶辅助系统（ADAS）的日益融合，进一步巩固了其在提升驾驶意识和降低道路交通事故风险的关键作用。能够在各种驾驶条件下识别车辆、行人和骑乘者的雷达安全解决方案，正日益成为新型车型的标配，助力美国实现提升交通安全性和可靠性的宏伟目标。

引领全球汽车防碰撞雷达市场的主要企业包括法雷奥 (Valeo)、维诺 (Veoneer)、安波福 (Aptiv)、电装 (Denso)、博世 (Bosch)、海拉 (Hella)、采埃孚 (ZF Friedrichshafen)、现代摩比斯 (Hyundai Mobisbis)、大陆集团 (ZF Friedrichshafen)、现代摩比斯 (Hyundai Mobis)、大陆集团 (Continalctor) 和智性半导体 SNX)。这些企业正致力于创新、提升成本效益和策略合作，以巩固其竞争优势。许多企业正在投资研发先进的雷达晶片组、多模式雷达系统和4D成像雷达，以提高侦测精度和侦测范围。它们还与汽车製造商和技术供应商建立战略合作伙伴关係，以实现雷达与高级驾驶辅助系统 (ADAS) 和自动驾驶系统的无缝整合。此外，各公司也努力实现组件小型化和成本降低，以促进雷达技术在各类车型中的广泛应用。

目录

第一章：方法论

  • 市场范围和定义
  • 研究设计
    • 研究方法
    • 资料收集方法
  • 资料探勘来源
    • 全球的
    • 地区/国家
  • 基准估算和计算
    • 基准年计算
    • 市场估算的关键趋势
  • 初步研究和验证
    • 原始资料
  • 预报
  • 研究假设和局限性

第二章：执行概要

第三章：行业洞察

  • 产业生态系分析
    • 供应商格局
    • 利润率分析
    • 成本结构
    • 每个阶段的价值增加
    • 影响价值链的因素
    • 中断
  • 产业影响因素
    • 成长驱动因素
      • 高级驾驶辅助系统（ADAS）的需求不断增长
      • 全球严格的政府安全法规
      • 电动车和自动驾驶汽车市场不断成长
      • 雷达感测器（短程和远程）的技术进步
    • 产业陷阱与挑战
      • 高系统整合复杂性
      • 在恶劣条件下降低感测器可靠性
    • 市场机会
      • 与基于人工智慧的预测分析集成
      • 拓展至商用车和卡车运输领域
  • 成长潜力分析
  • 监管环境
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 波特的分析
  • PESTEL分析
  • 技术与创新格局
    • 当前技术趋势
    • 新兴技术
  • 成本細項分析
  • 专利分析
  • 永续性和环境方面
    • 碳足迹评估
    • 循环经济一体化
    • 电子垃圾管理要求
    • 绿色製造倡议
  • 用例和应用
  • 最佳情况
  • 投资环境与融资趋势
    • 创投与私募股权投资雷达新创企业
    • 政府为汽车安全技术研发提供的资金支持项目
    • 雷达基础设施开发的公私合作模式
    • 併购趋势与策略融资分析
  • 经济影响评估
    • 创造就业机会和技能型劳动力需求
    • 雷达製造对区域GDP贡献的影响
    • 雷达部件的进出口动态
    • 各区域成本竞争力分析
  • 风险和敏感度分析
    • 供给侧脆弱性
    • 需求面对OEM生产週期的敏感性
    • 政策和贸易敏感度（关税、进出口限制）
    • 雷达软体中的网路安全和资料隐私漏洞

第四章：竞争格局

  • 介绍
  • 公司市占率分析
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • MEA
  • 主要市场参与者的竞争分析
  • 竞争定位矩阵
  • 战略展望矩阵
  • 关键进展
    • 併购
    • 合作伙伴关係与合作
    • 新产品发布
    • 扩张计划和资金

第五章：市场估算与预测：依组件划分，2021-2034年

  • 主要趋势
  • 硬体
    • 雷达感测器
    • 控制单元/ECU
  • 软体
    • 碰撞避免演算法
    • 驾驶辅助软体
  • 服务
    • 整合与安装服务
    • 维护与支援服务

第六章：市场估价与预测：依车辆类型划分，2021-2034年

  • 主要趋势
  • 搭乘用车
    • 紧凑型/经济型
    • 中型/家庭
    • 豪华/高级
    • SUV/跨界车
  • 商用车辆
    • 轻型商用
    • 重型卡车
    • 公车/大众运输

第七章：市场估计与预测：依技术划分，2021-2034年

  • 主要趋势
  • 24 GHz 雷达
  • 77 GHz 雷达
  • 79 GHz 雷达
  • 超宽频 (UWB)

第八章：市场估算与预测：依应用领域划分，2021-2034年

  • 主要趋势
  • 自适应巡航控制（ACC）
  • 自动紧急煞车（AEB）
  • 盲点侦测（BSD）
  • 车道变换辅助系统（LCA）
  • 停车协助

第九章：市场估计与预测：依地区划分，2021-2034年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 北欧
    • 俄罗斯
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
    • 东南亚
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋

第十章：公司简介

  • 全球参与者
    • Aptiv
    • Bosch
    • Continental
    • Denso
    • Hyundai Mobis
    • Infineon Technologies
    • Magna
    • Mobileye
    • NXP Semiconductors
    • Renesas Electronics
    • Valeo
    • ZF Friedrichshafen
  • 区域玩家
    • Adient
    • Autoliv
    • Gentherm
    • Hella
    • JTEKT
    • Keihin
    • Lear
    • Marelli
    • Panasonic Automotive
    • Visteon
  • 新兴参与者/颠覆者
    • AEye
    • Analog Devices
    • Arbe Robotics
    • Echodyne
    • Qorvo
    • Texas Instruments
    • Uhnder
    • Veoneer
简介目录
Product Code: 15176

The Global Automotive Collision Avoidance Radar Market was valued at USD 3.79 billion in 2024 and is estimated to grow at a CAGR of 14.5% to reach USD 14.69 billion by 2034.

Automotive Collision Avoidance Radar Market - IMG1

The increasing focus on road safety and the ongoing need to reduce vehicle collisions caused by human error are driving the adoption of radar-based safety systems in vehicles. These systems provide active detection and response capabilities to identify both stationary and moving obstacles, enabling vehicles to react effectively to potential hazards. The steady integration of radar into modern vehicles is supported by advancements in sensor technology, which have enabled both short-range and long-range radar applications for detecting pedestrians, cyclists, and other vehicles in complex traffic environments. Despite their effectiveness, certain applications still require improved detection range, particularly for smaller or hidden obstacles. However, as radar technology continues to evolve and manufacturing costs decline, the potential for adoption in commercial fleets, aftermarket systems, and autonomous vehicle platforms is expanding rapidly. With growing support from traffic safety data analytics and research from leading transportation authorities, radar-based collision avoidance systems are becoming a cornerstone of next-generation vehicle safety and automated driving technologies.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$3.79 Billion
Forecast Value$14.69 Billion
CAGR14.5%

The hardware segment held 72% share in 2024. Hardware remains the core element of collision avoidance radar systems, as regulations often mandate the inclusion of physical sensors to ensure reliable detection and response functions. Regulatory standards for vehicle safety are also expected to drive additional demand for radar components in new vehicle models as manufacturers prepare for enhanced performance and compliance requirements.

The passenger vehicle segment will grow at a CAGR of 15.2% between 2025 and 2034. The dominance of this segment is attributed to the large-scale production of passenger cars and the growing incorporation of advanced safety systems within this category. Increased radar deployment in passenger vehicles has also stimulated the growth of a strong aftermarket ecosystem that supports radar hardware, integrated sensor fusion software, and service solutions, allowing suppliers to scale production efficiently while maintaining cost-effectiveness.

United States Automotive Collision Avoidance Radar Market generated USD 731.8 million in 2024. Regulatory influence remains a significant driver for radar adoption in the region. The growing integration of radar with Advanced Driver Assistance Systems (ADAS) reinforces its critical role in enhancing driver awareness and minimizing the risk of road accidents. Radar-enabled safety solutions capable of identifying vehicles, pedestrians, and cyclists under diverse driving conditions are becoming increasingly standard in new vehicle models, supporting the nation's broader goal of improving transportation safety and reliability.

Leading companies shaping the Global Automotive Collision Avoidance Radar Market include Valeo, Veoneer, Aptiv, Denso, Bosch, Hella, ZF Friedrichshafen, Hyundai Mobis, Continental, and NXP Semiconductors. Major companies in the Automotive Collision Avoidance Radar Market are focusing on innovation, cost efficiency, and strategic collaboration to reinforce their competitive positioning. Many are investing in advanced radar chipsets, multi-mode radar systems, and 4D imaging radar to enhance detection accuracy and range. Strategic partnerships with automakers and technology providers are being formed to integrate radar seamlessly with ADAS and autonomous driving systems. Firms are also working toward the miniaturization of components and cost reduction to enable broader adoption across various vehicle classes.

Table of Contents

Chapter 1 Methodology

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2034
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Component
    • 2.2.3 Vehicle
    • 2.2.4 Technology
    • 2.2.5 Application
  • 2.3 TAM Analysis, 2025-2034
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 Critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin analysis
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Rising demand for advanced driver-assistance systems (ADAS)
      • 3.2.1.2 Stringent government safety regulations globally
      • 3.2.1.3 Growing EV and autonomous vehicle market
      • 3.2.1.4 Technological advancements in radar sensors (short- and long-range)
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High system integration complexity
      • 3.2.2.2 Reduces sensor reliability in harsh conditions
    • 3.2.3 Market opportunities
      • 3.2.3.1 Integration with AI-based predictive analytics
      • 3.2.3.2 Expansion into commercial vehicles and trucking
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
    • 3.4.2 Europe
    • 3.4.3 Asia Pacific
    • 3.4.4 Latin America
    • 3.4.5 Middle East & Africa
  • 3.5 Porter's analysis
  • 3.6 Pestel analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Cost breakdown analysis
  • 3.9 Patent analysis
  • 3.10 Sustainability & environmental aspects
    • 3.10.1 Carbon Footprint Assessment
    • 3.10.2 Circular Economy Integration
    • 3.10.3 E-Waste Management Requirements
    • 3.10.4 Green Manufacturing Initiatives
  • 3.11 Use cases and applications
  • 3.12 Best-case scenario
  • 3.13 Investment landscape & funding trends
    • 3.13.1 Venture capital and private equity investments in radar start-ups
    • 3.13.2 Government R&D funding programs for automotive safety tech
    • 3.13.3 Public-private partnerships for radar infrastructure development
    • 3.13.4 M&A trends and strategic funding analysis
  • 3.14 Economic impact assessment
    • 3.14.1 Employment generation and skilled workforce requirements
    • 3.14.2 Impact on regional gdp contribution from radar manufacturing
    • 3.14.3 Export-import dynamics of radar components
    • 3.14.4 Cost competitiveness analysis across regions
  • 3.15 Risk and sensitivity analysis
    • 3.15.1 Supply-side vulnerabilities
    • 3.15.2 Demand-side sensitivity to oem production cycles
    • 3.15.3 Policy and trade sensitivity (tariffs, import/export restrictions)
    • 3.15.4 Cybersecurity and data privacy vulnerabilities in radar software

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 North America
    • 4.2.2 Europe
    • 4.2.3 Asia Pacific
    • 4.2.4 LATAM
    • 4.2.5 MEA
  • 4.3 Competitive analysis of major market players
  • 4.4 Competitive positioning matrix
  • 4.5 Strategic outlook matrix
  • 4.6 Key developments
    • 4.6.1 Mergers & acquisitions
    • 4.6.2 Partnerships & collaborations
    • 4.6.3 New product launches
    • 4.6.4 Expansion plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn, Units)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Radar Sensor
    • 5.2.2 Control Unit / ECU
  • 5.3 Software
    • 5.3.1 Collision Avoidance Algorithms
    • 5.3.2 Driver Assistance Software
  • 5.4 Services
    • 5.4.1 Integration & Installation Services
    • 5.4.2 Maintenance & Support Services

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Mn, Units)

  • 6.1 Key trends
  • 6.2 Passenger Cars
    • 6.2.1 Compact/Economy
    • 6.2.2 Mid-size/Family
    • 6.2.3 Luxury/Premium
    • 6.2.4 SUVs/Crossovers
  • 6.3 Commercial Vehicles
    • 6.3.1 Light Commercial
    • 6.3.2 Heavy Trucks
    • 6.3.3 Buses/Transit

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2034 ($Mn, Units)

  • 7.1 Key trends
  • 7.2 24 GHz Radar
  • 7.3 77 GHz Radar
  • 7.4 79 GHz Radar
  • 7.5 UWB (Ultra-Wideband)

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn, Units)

  • 8.1 Key trends
  • 8.2 Adaptive Cruise Control (ACC)
  • 8.3 Automatic Emergency Braking (AEB)
  • 8.4 Blind Spot Detection (BSD)
  • 8.5 Lane Change Assist (LCA)
  • 8.6 Parking Assistance

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Nordics
    • 9.3.7 Russia
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 Australia
    • 9.4.5 South Korea
    • 9.4.6 Southeast Asia
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Argentina
  • 9.6 MEA
    • 9.6.1 South Africa
    • 9.6.2 Saudi Arabia
    • 9.6.3 UAE

Chapter 10 Company Profiles

  • 10.1 Global Players
    • 10.1.1 Aptiv
    • 10.1.2 Bosch
    • 10.1.3 Continental
    • 10.1.4 Denso
    • 10.1.5 Hyundai Mobis
    • 10.1.6 Infineon Technologies
    • 10.1.7 Magna
    • 10.1.8 Mobileye
    • 10.1.9 NXP Semiconductors
    • 10.1.10 Renesas Electronics
    • 10.1.11 Valeo
    • 10.1.12 ZF Friedrichshafen
  • 10.2 Regional Players
    • 10.2.1 Adient
    • 10.2.2 Autoliv
    • 10.2.3 Gentherm
    • 10.2.4 Hella
    • 10.2.5 JTEKT
    • 10.2.6 Keihin
    • 10.2.7 Lear
    • 10.2.8 Marelli
    • 10.2.9 Panasonic Automotive
    • 10.2.10 Visteon
  • 10.3 Emerging Players / Disruptors
    • 10.3.1 AEye
    • 10.3.2 Analog Devices
    • 10.3.3 Arbe Robotics
    • 10.3.4 Echodyne
    • 10.3.5 Qorvo
    • 10.3.6 Texas Instruments
    • 10.3.7 Uhnder
    • 10.3.8 Veoneer