查看购物车
  • Traditional Chinese
  • English
封面
市场调查报告书
商品编码
1620587

交通号誌辨识市场机会、成长动力、产业趋势分析及 2024 年至 2032 年预测

Traffic Signal Recognition Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3个工作天内

价格
简介目录

在车辆安全功能需求不断增长的推动下，2023 年全球交通号誌识别市场价值为 4.272 亿美元，预计 2024 年至 2032 年将以 11.7% 的复合年增长率强劲增长。随着对道路安全的日益关注，消费者优先考虑配备先进安全技术的车辆。安全宣传、媒体对事故的报导和个人经历等因素推动了人们的安全意识，促使购买者寻求具有增强安全驾驶功能的车辆，从而推动了市场成长。 TSR 技术与先进驾驶辅助系统 (ADAS) 的整合正在改变汽车产业。

ADAS 旨在协助驾驶员并提高道路安全，需要 TSR 等复杂技术来进行即时交通号誌侦测和解释。 TSR 技术显着增强决策能力，使配备 ADAS 的车辆能够准确响应路况，这已成为现代车辆设计的关键要素。就组件而言，TSR 市场分为硬体和软体。硬体细分市场在 2023 年以 67.5% 的份额引领市场，预计到 2032 年将超过 7.19 亿资料。

高品质摄影机对于在不同照明和天气条件下侦测交通号誌至关重要，它们与光达和雷达感测器配合使用，可改善生态感知，确保准确的交通号誌识别。按车型划分，市场涵盖乘用车、商用车和专用车。到 2023 年，乘用车因其高销量和越来越多的安全功能而占据约 66% 的市场份额。随着乘用车在道路交通中占据主导地位，TSR 技术已成为汽车製造商增强驾驶体验、吸引具有安全意识的消费者并进一步提升对这些系统的需求的重点。

市场范围
开始年份 2023年
预测年份 2024-2032
起始值 4.272 亿美元
预测值 11亿美元
复合年增长率 11.7%

2023年，美国TSR市场占营收份额的73%，预计到2032年将达到2.465亿美元左右。这种专业知识的集中促进了持续创新，并加快了 TSR 等先进安全功能的集成，使美国成为 TSR 技术部署的重要市场。随着人们对安全性的日益重视和技术的不断进步，全球交通号誌识别市场将出现显着增长，反映出消费者偏好和汽车行业向更安全、更自动驾驶汽车发展的趋势发生了更广泛的转变。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
    • 汽车製造商
    • 技术提供者
    • 基础设施提供者
    • 软体开发商
    • 电信业者
    • 最终用户
  • 供应商格局
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 了解安全和隐私措施对市场成长的影响
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 自动驾驶汽车的兴起
      • ADAS 的采用率不断提高
      • 都市化和智慧城市倡议
      • 消费者对安全功能的需求
    • 产业陷阱与挑战
      • 缺乏标准化
      • 开发成本高
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

  • 主要趋势
  • 硬体
    • 相机和影像感测器
    • 光达感测器
    • 雷达感测器
    • 处理单元/ECU
    • 显示单位
    • GPS接收器
  • 软体
    • 影像处理演算法
    • 机器学习模型
    • 物件侦测软体
    • 神经网路解决方案
    • 基于云端的平台

第 6 章：市场估计与预测：按车辆划分，2021 - 2032 年

  • 主要趋势
  • 搭乘用车
  • 商用车
    • 轻型商用车
    • 重型商用车
  • 专用车辆

第 7 章：市场估计与预测：依技术分类，2021 - 2032 年

  • 主要趋势
  • 影像处理
  • 深度学习
  • 电脑视觉
  • 机器学习
  • 模式识别
  • 感测器融合

第 8 章：市场估计与预测：依应用分类，2021 - 2032

  • 主要趋势
  • 交通灯侦测
  • 停车标誌识别
  • 限速侦测
  • 警告标誌识别
  • 车道标记侦测
  • 行人穿越道识别
  • 铁路道口检测
  • 让行标誌识别

第 9 章：市场估计与预测：按地区，2021 - 2032

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

第 10 章：公司简介

  • Audi
  • Bosch
  • Continental AG
  • Denso
  • Ford
  • General Motors
  • Hella GmbH & Co. KGaA
  • HERE Technologies
  • Hitachi Automotive Systems
  • Hyundai
  • Mobileye
  • Nissan
  • Nvidia
  • Renesas Electronics Corporation
  • TomTom
  • Toshiba
  • Toyota
  • Valeo
  • Veoneer
  • ZF Friedrichshafen
简介目录
Product Code: 12053

The Global Traffic Signal Recognition Market, valued at USD 427.2 million in 2023, is projected to grow at a robust CAGR of 11.7% from 2024 to 2032, driven by rising demand for safety features in vehicles. With an increasing focus on road safety, consumers are prioritizing vehicles equipped with advanced safety technologies. Awareness of safety has been propelled by factors like safety campaigns, media coverage of accidents, and personal experiences, prompting buyers to seek vehicles with features that enhance safe driving, thus fueling market growth. The integration of TSR technology within advanced driver-assistance systems (ADAS) is transforming the automotive industry.

ADAS, designed to assist drivers and improve road safety, requires sophisticated technologies like TSR for real-time traffic signal detection and interpretation. TSR technology significantly enhances decision-making, enabling ADAS-equipped vehicles to respond accurately to road conditions, which has become a critical element in modern vehicle design. In terms of components, the TSR market is segmented into hardware and software. The hardware segment led the market with a 67.5% share in 2023 and is anticipated to surpass USD 719 million by 2032. Essential hardware components, including high-resolution cameras, sensors, and processing units, capture and analyze real-time environmental data.

High-quality cameras, vital for detecting traffic signals under diverse lighting and weather conditions, work alongside LiDAR and radar sensors to improve ecological perception, ensuring accurate traffic signal recognition. Based on vehicle type, the market spans passenger vehicles, commercial vehicles, and special-purpose vehicles. In 2023, passenger vehicles held approximately 66% of the market share, attributed to their high sales volumes and the rising incorporation of safety features. As passenger vehicles dominate road traffic, TSR technology has become a focus for automotive manufacturers to enhance the driving experience, attract safety-conscious consumers, and further elevate the demand for these systems.

Market Scope
Start Year2023
Forecast Year2024-2032
Start Value$427.2 Million
Forecast Value$1.1 Billion
CAGR11.7%

The U.S. TSR market accounted for 73% of revenue share in 2023 and is expected to reach around USD 246.5 million by 2032. The U.S. houses leading automotive and technology firms heavily invested in the research and development of ADAS and related safety technologies. This concentration of expertise promotes continual innovation and expedites the integration of advanced safety features like TSR, positioning the U.S. as a crucial market for TSR technology deployment. With the increasing emphasis on safety and ongoing technological advancements, the global traffic signal recognition market is set for significant growth, reflecting broader shifts in consumer preferences and automotive industry trends toward safer, more autonomous vehicles.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Research design
    • 1.1.1 Research approach
    • 1.1.2 Data collection methods
  • 1.2 Base estimates and calculations
    • 1.2.1 Base year calculation
    • 1.2.2 Key trends for market estimates
  • 1.3 Forecast model
  • 1.4 Primary research & validation
    • 1.4.1 Primary sources
    • 1.4.2 Data mining sources
  • 1.5 Market definitions

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Automotive manufacturers
    • 3.1.2 Technology providers
    • 3.1.3 Infrastructure providers
    • 3.1.4 Software developers
    • 3.1.5 Telecommunications providers
    • 3.1.6 End users
  • 3.2 Supplier landscape
  • 3.3 Profit margin analysis
  • 3.4 Technology & innovation landscape
  • 3.5 Patent analysis
  • 3.6 Understanding impact of security and privacy measure on the market growth
  • 3.7 Key news & initiatives
  • 3.8 Regulatory landscape
  • 3.9 Impact forces
    • 3.9.1 Growth drivers
      • 3.9.1.1 Rise of autonomous vehicles
      • 3.9.1.2 Growing adoption of ADAS
      • 3.9.1.3 Urbanization and smart city initiatives
      • 3.9.1.4 Consumer demand for safety features
    • 3.9.2 Industry pitfalls & challenges
      • 3.9.2.1 Lack of standardization
      • 3.9.2.2 High development costs
  • 3.10 Growth potential analysis
  • 3.11 Porter's analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Cameras and image sensors
    • 5.2.2 LiDAR sensors
    • 5.2.3 Radar sensors
    • 5.2.4 Processing units/ECUs
    • 5.2.5 Display units
    • 5.2.6 GPS receivers
  • 5.3 Software
    • 5.3.1 Image processing algorithms
    • 5.3.2 Machine learning models
    • 5.3.3 Object detection software
    • 5.3.4 Neural network solutions
    • 5.3.5 Cloud-based platforms

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn, Units)

  • 6.1 Key trends
  • 6.2 Passenger vehicles
  • 6.3 Commercial vehicles
    • 6.3.1 Light commercial vehicles
    • 6.3.2 Heavy commercial vehicles
  • 6.4 Special purpose vehicles

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 Image processing
  • 7.3 Deep learning
  • 7.4 Computer vision
  • 7.5 Machine learning
  • 7.6 Pattern recognition
  • 7.7 Sensor fusion

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 Traffic light detection
  • 8.3 Stop sign recognition
  • 8.4 Speed limit detection
  • 8.5 Warning sign recognition
  • 8.6 Lane marking detection
  • 8.7 Pedestrian crossing recognition
  • 8.8 Railroad crossing detection
  • 8.9 Yield sign recognition

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Spain
    • 9.3.5 Italy
    • 9.3.6 Nordics
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 ANZ
    • 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 UAE
    • 9.6.2 South Africa
    • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

  • 10.1 Audi
  • 10.2 Bosch
  • 10.3 Continental AG
  • 10.4 Denso
  • 10.5 Ford
  • 10.6 General Motors
  • 10.7 Hella GmbH & Co. KGaA
  • 10.8 HERE Technologies
  • 10.9 Hitachi Automotive Systems
  • 10.10 Hyundai
  • 10.11 Mobileye
  • 10.12 Nissan
  • 10.13 Nvidia
  • 10.14 Renesas Electronics Corporation
  • 10.15 TomTom
  • 10.16 Toshiba
  • 10.17 Toyota
  • 10.18 Valeo
  • 10.19 Veoneer
  • 10.20 ZF Friedrichshafen