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封面
市场调查报告书
商品编码
1512022

美国基于视讯的自动事故检测市场规模、份额和趋势分析报告：按应用和细分市场预测，2024-2030 年

U.S. Video-based Automatic Incident Detection Market Size, Share & Trends Analysis Report By Application (Road, Tunnels, Highways, Bridges), And Segment Forecasts, 2024 - 2030
出版日期: | 出版商: Grand View Research | 英文 80 Pages | 商品交期: 2-10个工作天内

价格

美国基于视讯的自动事件检测市场成长和趋势

Grand View Research Inc的最新报告显示，美国基于视讯的自动事故检测市场规模预计到2030年将达到1.072亿美元，2024年至2030年的复合年增长率为18.1%。随着世界新兴经济体越来越认识到其在加强道路安全和交通管理方面的价值，该市场正在经历显着增长。这些解决方案利用先进的视讯分析技术来即时监控道路，侦测事故和拥塞等事件，并促进快速反应措施。

随着都市化和机动化程度的提高，政府和监管机构对实施高效的交通管理系统提出了严格的监管要求，以确保旅客的安全和福祉。例如，2022 年 7 月，欧盟 (EU) 实施了《通用车辆安全条例》，旨在改善欧洲的道路安全并监控完全无人驾驶汽车的功能和安全性。该法规的主要目的是为全部区域的行人、乘客和骑自行车的人提供更好的保护。据欧盟委员会称，到 2038 年，这些法规预计将挽救超过 25,000 人的生命，并防止约 14 万人重伤。这些努力预计将加速交通技术在市场上的采用，例如基于视讯的自动事件侦测（AID）解决方案。

美国面临交通违规、交通拥挤、交通事故等重大挑战。近年来，美国各地致命车祸数量大幅增加。 2018年至2021年，死亡事故数量增加了16%以上，分别从2018年和2021年的36,835起增加到42,939起。基于视讯的AID解决方案的应用提供了即时监控能力，使当局能够快速发现事故、交通拥堵和道路危险等事件。透过快速识别和应对这些事故，当局可以降低次生事故的风险，减少交通拥堵，并最终改善道路安全。此外，政府措施和交通技术的积极投资趋​​势预计也将加强基于视讯的自动事件侦测（AID）解决方案的采用。

美国基于影片的自动事件侦测市场报告亮点：

  • 2024年至2030年，公路部分预计将以21.7%的复合年增长率成长。道路上车辆数量的不断增加导致交通拥堵和道路事故数量增加，需要更完善的交通管理和安全机制。
  • 预计 2024 年至 2030 年隧道工程将以 20.6% 的复合年增长率成长。隧道是密闭空间，疏散途径有限，增加了事故的风险和影响。 AID系统可以快速发现事故，快速反应，降低二次事故的风险。

目录

第一章调查方法和范围

第 2 章执行摘要

第 3 章：美国基于视讯的自动事件侦测 (AID) 市场变数、趋势和范围

  • 市场介绍/系统展望
  • 产业价值链分析
  • 市场动态
    • 市场驱动因素分析
    • 市场限制因素分析
    • 市场机会分析
  • 基于视讯的自动事件侦测 (AID) 市场分析工具
    • 波特的分析
    • PESTEL分析

第四章美国基于视讯的自动事件侦测（AID）市场：应用估算与趋势分析

  • 细分仪表板
  • 美国基于视讯的自动事故侦测
  • 路
  • 停车处
  • 高速公路
  • 隧道
  • 桥
  • 收费路
  • 港
  • 飞机场

第五章竞争状况

  • 主要市场参与企业的最新趋势和影响分析
  • 公司分类
  • 公司市场占有率分析
  • 企业热力图分析
  • 策略规划
    • 扩张
    • 併购
    • 伙伴关係与协作
    • 新产品发布
    • 研究与开发
  • 公司简介
    • Axis Communications AB
    • Dahua Technology Co., Ltd
    • EFKON GmbH
    • Hangzhou Hikvision Digital Technology Co., Ltd.
    • IntelliVision
    • Iteris, Inc.
    • Miovision Technologies Incorporated
    • Omnibond Systems, LLC.
    • Q-Free ASA
    • Robert Bosch GmbH
    • Sensys Networks, Inc.（Citilog）
    • Teledyne FLIR LLC
    • TRAFICON
    • Vaaaninfra.com
    • Videonetics
    • VIVOTEK Inc.
Product Code: GVR-4-68040-296-5

U.S. Video-based Automatic Incident Detection Market Growth & Trends:

The U.S. video-based automatic incident detection market size is expected to reach USD 107.2 million by 2030, registering a CAGR of 18.1% from 2024 to 2030, according to recent reports from Grand View Research Inc. The market is witnessing remarkable growth, with emerging countries across the world increasingly recognizing their value in enhancing road safety and traffic management. These solutions leverage advanced video analytics technologies to monitor roadways in real time, detect incidents such as accidents and congestion, and facilitate prompt response measures.

As urbanization and motorization rates continue to rise, governments and regulatory authorities are issuing strict regulatory requirements for the adoption of efficient traffic management systems that can ensure the safety and well-being of travelers. For instance, In July 2022, the European Union implemented the Vehicle General Safety Regulation to improve road safety and monitor the functioning and safety of fully driverless vehicles in Europe. The primary goal of these regulations is to provide better protection for pedestrians, passengers, and cyclists across the region. According to the European Commission, these regulations are expected to save more than 25,000 lives and prevent around 140,000 serious injuries by 2038. Such initiatives are expected to boost the adoption of transportation technologies in the market, including video-based based automatic incident detection (AID) solutions.

The U.S. faces significant challenges regarding traffic rule violations, traffic congestion, and road accidents. Over the past few years, there has been a notable increase in the number of fatal car crashes across the country. Between 2018 and 2021, the incidences of deadly accidents increased by over 16%, rising from 36,835 to 42,939 fatal car crashes in 2018 and 2021 respectively. The application of video-based AID solutions offers real-time monitoring capabilities, enabling authorities to quickly detect incidents such as accidents, congestion, and road hazards. By promptly identifying and responding to these incidents, authorities can reduce the risk of secondary accidents and alleviate traffic congestion, ultimately improving road safety. Furthermore, government initiatives, coupled with positive investment trends in transportation technology, are also expected to strengthen the adoption of video-based automatic incident detection (AID) solutions.

U.S. Video-based Automatic Incident Detection Market Report Highlights:

  • The road segment is anticipated to grow at a CAGR of 21.7% from 2024-2030. The constant rise in the number of vehicles on roads has led to an increase in traffic congestion and incidences of road accidents, necessitating more sophisticated traffic management and safety mechanisms.
  • The tunnels is anticipated to grow at a CAGR of 20.6% from 2024-2030. Tunnels have confined spaces and limited escape routes, increasing the risk and impact of accidents. AID systems can quickly detect incidents, allowing for prompt response and reducing the risk of secondary accidents.

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Market Definitions
  • 1.3. Research Methodology
    • 1.3.1. Information Procurement
    • 1.3.2. Information or Data Analysis
    • 1.3.3. Market Formulation & Data Visualization
    • 1.3.4. Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. U.S. Video-based Automatic Incident Detection (AID) Market Variables, Trends, & Scope

  • 3.1. Market Introduction/Lineage Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Drivers Analysis
    • 3.3.2. Market Restraints Analysis
    • 3.3.3. Market Opportunity Analysis
  • 3.4. Video-based Automatic Incident Detection (AID) Market Analysis Tools
    • 3.4.1. Porter's Analysis
      • 3.4.1.1. Bargaining power of the suppliers
      • 3.4.1.2. Bargaining power of the buyers
      • 3.4.1.3. Threats of substitution
      • 3.4.1.4. Threats from new entrants
      • 3.4.1.5. Competitive rivalry
    • 3.4.2. PESTEL Analysis
      • 3.4.2.1. Political landscape
      • 3.4.2.2. Economic and Social landscape
      • 3.4.2.3. Technological landscape
      • 3.4.2.4. Environmental landscape
      • 3.4.2.5. Legal landscape

Chapter 4. U.S. Video-based Automatic Incident Detection (AID) Market: Application Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. U.S. Video-based Automatic Incident Detection (AID) Market: Application Movement Analysis, 2023 & 2030 (USD Million)
  • 4.3. Road
    • 4.3.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Parking Lot
    • 4.4.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Highways
    • 4.5.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.6. Tunnels
    • 4.6.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.7. Bridges
    • 4.7.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.8. Tollways
    • 4.8.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.9. Marine Ports
    • 4.9.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.10. Airport
    • 4.10.1. Market Size Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. Competitive Landscape

  • 5.1. Recent Developments & Impact Analysis by Key Market Participants
  • 5.2. Company Categorization
  • 5.3. Company Market Share Analysis
  • 5.4. Company Heat Map Analysis
  • 5.5. Strategy Mapping
    • 5.5.1. Expansion
    • 5.5.2. Mergers & Acquisition
    • 5.5.3. Partnerships & Collaborations
    • 5.5.4. New Product Launches
    • 5.5.5. Research And Development
  • 5.6. Company Profiles
    • 5.6.1. Axis Communications AB
      • 5.6.1.1. Participant's Overview
      • 5.6.1.2. Financial Performance
      • 5.6.1.3. Product Benchmarking
      • 5.6.1.4. Recent Developments
    • 5.6.2. Dahua Technology Co., Ltd
      • 5.6.2.1. Participant's Overview
      • 5.6.2.2. Financial Performance
      • 5.6.2.3. Product Benchmarking
      • 5.6.2.4. Recent Developments
    • 5.6.3. EFKON GmbH
      • 5.6.3.1. Participant's Overview
      • 5.6.3.2. Financial Performance
      • 5.6.3.3. Product Benchmarking
      • 5.6.3.4. Recent Developments
    • 5.6.4. Hangzhou Hikvision Digital Technology Co., Ltd.
      • 5.6.4.1. Participant's Overview
      • 5.6.4.2. Financial Performance
      • 5.6.4.3. Product Benchmarking
      • 5.6.4.4. Recent Developments
    • 5.6.5. IntelliVision
      • 5.6.5.1. Participant's Overview
      • 5.6.5.2. Financial Performance
      • 5.6.5.3. Product Benchmarking
      • 5.6.5.4. Recent Developments
    • 5.6.6. Iteris, Inc.
      • 5.6.6.1. Participant's Overview
      • 5.6.6.2. Financial Performance
      • 5.6.6.3. Product Benchmarking
      • 5.6.6.4. Recent Developments
    • 5.6.7. Miovision Technologies Incorporated
      • 5.6.7.1. Participant's Overview
      • 5.6.7.2. Financial Performance
      • 5.6.7.3. Product Benchmarking
      • 5.6.7.4. Recent Developments
    • 5.6.8. Omnibond Systems, LLC.
      • 5.6.8.1. Participant's Overview
      • 5.6.8.2. Financial Performance
      • 5.6.8.3. Product Benchmarking
      • 5.6.8.4. Recent Developments
    • 5.6.9. Q-Free ASA
      • 5.6.9.1. Participant's Overview
      • 5.6.9.2. Financial Performance
      • 5.6.9.3. Product Benchmarking
      • 5.6.9.4. Recent Developments
    • 5.6.10. Robert Bosch GmbH
      • 5.6.10.1. Participant's Overview
      • 5.6.10.2. Financial Performance
      • 5.6.10.3. Product Benchmarking
      • 5.6.10.4. Recent Developments
    • 5.6.11. Sensys Networks, Inc. (Citilog)
      • 5.6.11.1. Participant's Overview
      • 5.6.11.2. Financial Performance
      • 5.6.11.3. Product Benchmarking
      • 5.6.11.4. Recent Developments
    • 5.6.12. Teledyne FLIR LLC
      • 5.6.12.1. Participant's Overview
      • 5.6.12.2. Financial Performance
      • 5.6.12.3. Product Benchmarking
      • 5.6.12.4. Recent Developments
    • 5.6.13. TRAFICON
      • 5.6.13.1. Participant's Overview
      • 5.6.13.2. Financial Performance
      • 5.6.13.3. Product Benchmarking
      • 5.6.13.4. Recent Developments
    • 5.6.14. Vaaaninfra.com
      • 5.6.14.1. Participant's Overview
      • 5.6.14.2. Financial Performance
      • 5.6.14.3. Product Benchmarking
      • 5.6.14.4. Recent Developments
    • 5.6.15. Videonetics
      • 5.6.15.1. Participant's Overview
      • 5.6.15.2. Financial Performance
      • 5.6.15.3. Product Benchmarking
      • 5.6.15.4. Recent Developments
    • 5.6.16. VIVOTEK Inc.
      • 5.6.16.1. Participant's Overview
      • 5.6.16.2. Financial Performance
      • 5.6.16.3. Product Benchmarking
      • 5.6.16.4. Recent Developments

List of Tables

  • Table 1 U.S. Video-based Automatic Incident Detection (AID) Market, 2018 - 2030 (USD Million)
  • Table 2 U.S. Video-based Automatic Incident Detection (AID) Market estimates and forecasts by Application, 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 U.S. Video-based Automatic Incident Detection (AID) Market Segmentation
  • Fig. 2 Market landscape
  • Fig. 3 Information Procurement
  • Fig. 4 Data Analysis Models
  • Fig. 5 Market Formulation and Validation
  • Fig. 6 Data Validating & Publishing
  • Fig. 7 Market Snapshot
  • Fig. 8 Segment Snapshot (1/3)
  • Fig. 9 Competitive Landscape Snapshot
  • Fig. 10 U.S. Video-based Automatic Incident Detection (AID) Market: Industry Value Chain Analysis
  • Fig. 11 U.S. Video-based Automatic Incident Detection (AID) Market: Market Dynamics
  • Fig. 12 U.S. Video-based Automatic Incident Detection (AID) Market: PORTER's Analysis
  • Fig. 13 U.S. Video-based Automatic Incident Detection (AID) Market: PESTEL Analysis
  • Fig. 14 U.S. Video-based Automatic Incident Detection (AID) Market Share by Application, 2023 & 2030 (USD Million)
  • Fig. 15 U.S. Video-based Automatic Incident Detection (AID) Market, by Application: Market Share, 2023 & 2030
  • Fig. 16 Road Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 17 Parking Lot (AI) Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 18 Highways Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 19 Tunnels Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 20 Bridges Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 21 Tollways Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 22 Marine Ports Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 23 Airport Market Estimates & Forecasts, 2018 - 2030 (Revenue, USD Million)
  • Fig. 24 Key Company Categorization
  • Fig. 25 Company Market Positioning
  • Fig. 26 Key Company Market Share Analysis, 2023
  • Fig. 27 Strategic Framework