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市場調查報告書
商品編碼
1620587

交通號誌辨識市場機會、成長動力、產業趨勢分析及 2024 年至 2032 年預測

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個工作天內

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簡介目錄

在車輛安全功能需求不斷成長的推動下，2023 年全球交通號誌識別市場價值為 4.272 億美元，預計 2024 年至 2032 年將以 11.7% 的複合年成長率強勁成長。隨著對道路安全的日益關注，消費者優先考慮配備先進安全技術的車輛。安全宣傳、媒體對事故的報導和個人經歷等因素推動了人們的安全意識，促使購買者尋求具有增強安全駕駛功能的車輛，從而推動了市場成長。 TSR 技術與先進駕駛輔助系統 (ADAS) 的整合正在改變汽車產業。

ADAS 旨在協助駕駛員並提高道路安全，需要 TSR 等複雜技術來進行即時交通號誌偵測和解釋。 TSR 技術顯著增強決策能力，使配備 ADAS 的車輛能夠準確響應路況，這已成為現代車輛設計的關鍵要素。就組件而言，TSR 市場分為硬體和軟體。硬體細分市場在 2023 年以 67.5% 的佔有率引領市場，預計到 2032 年將超過 7.19 億資料。

高品質攝影機對於在不同照明和天氣條件下偵測交通號誌至關重要，它們與LiDAR和雷達感測器配合使用，可改善生態感知，確保準確的交通號誌識別。按車型分類，市場涵蓋乘用車、商用車和專用車。到 2023 年，乘用車因其高銷量和越來越多的安全功能而佔據約 66% 的市場佔有率。隨著乘用車在道路交通中佔據主導地位，TSR 技術已成為汽車製造商增強駕駛體驗、吸引具有安全意識的消費者並進一步提升對這些系統的需求的重點。

市場範圍
開始年份 2023年
預測年份 2024-2032
起始值 4.272 億美元
預測值 11億美元
複合年成長率 11.7%

2023年，美國TSR市場佔營收佔有率的73%，預計到2032年將達到2.465億美元左右。這種專業知識的集中促進了持續創新，並加快了 TSR 等先進安全功能的整合，使美國成為 TSR 技術部署的重要市場。隨著人們對安全性的日益重視和技術的不斷進步，全球交通號誌識別市場將出現顯著成長，反映出消費者偏好和汽車行業向更安全、更自動駕駛汽車發展的趨勢發生了更廣泛的轉變。

目錄

第 1 章：方法與範圍

第 2 章：執行摘要

第 3 章：產業洞察

  • 產業生態系統分析
    • 汽車製造商
    • 技術提供者
    • 基礎設施提供者
    • 軟體開發商
    • 電信業者
    • 最終用戶
  • 供應商格局
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 了解安全和隱私措施對市場成長的影響
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 自動駕駛汽車的興起
      • ADAS 的採用率不斷提高
      • 都市化和智慧城市舉措
      • 消費者對安全功能的需求
    • 產業陷阱與挑戰
      • 缺乏標準化
      • 開發成本高
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章：競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章：市場估計與預測：按組成部分，2021 - 2032 年

  • 主要趨勢
  • 硬體
    • 相機和影像感測器
    • LiDAR感測器
    • 雷達感測器
    • 處理單元/ECU
    • 顯示單位
    • GPS接收器
  • 軟體
    • 影像處理演算法
    • 機器學習模型
    • 物件偵測軟體
    • 神經網路解決方案
    • 基於雲端的平台

第 6 章：市場估計與預測：按車輛分類，2021 - 2032 年

  • 主要趨勢
  • 搭乘用車
  • 商用車
    • 輕型商用車
    • 重型商用車
  • 專用車輛

第 7 章：市場估計與預測：依技術分類，2021 - 2032 年

  • 主要趨勢
  • 影像處理
  • 深度學習
  • 電腦視覺
  • 機器學習
  • 模式識別
  • 感測器融合

第 8 章：市場估計與預測：依應用分類，2021 - 2032

  • 主要趨勢
  • 交通燈偵測
  • 停車標誌識別
  • 限速偵測
  • 警告標誌識別
  • 車道標記偵測
  • 行人穿越道識別
  • 鐵路道口檢測
  • 讓行標誌識別

第 9 章：市場估計與預測：按地區，2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 西班牙
    • 義大利
    • 北歐人
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳新銀行
    • 東南亞
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • MEA
    • 阿拉伯聯合大公國
    • 南非
    • 沙烏地阿拉伯

第 10 章：公司簡介

  • 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
簡介目錄
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