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市場調查報告書
商品編碼
1512022

美國基於視訊的自動事故檢測市場規模、佔有率和趨勢分析報告：按應用和細分市場預測，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個工作天內

價格

美國基於視訊的自動事件檢測市場成長和趨勢

Grand View Research Inc的最新報告顯示，美國基於視訊的自動事故檢測市場規模預計到2030年將達到1.072億美元，2024年至2030年的複合年成長率為18.1%。隨著世界新興經濟體越來越認知到其在加強道路安全和交通管理方面的價值，該市場正在經歷顯著成長。這些解決方案利用先進的視訊分析技術來即時監控道路，偵測事故和擁塞等事件，並促進快速反應措施。

隨著都市化和機動化程度的提高，政府和監管機構對實施高效的交通管理系統提出了嚴格的監管要求，以確保旅客的安全和福祉。例如，2022 年 7 月，歐盟 (EU) 實施了《通用車輛安全條例》，旨在改善歐洲的道路安全並監控完全無人駕駛汽車的功能和安全性。該法規的主要目的是為全部區域的行人、乘客和騎自行車的人提供更好的保護。據歐盟委員會稱，到 2038 年，這些法規預計將挽救超過 25,000 人的生命，並防止約 14 萬人重傷。這些努力預計將加速交通技術在市場上的採用，例如基於視訊的自動事件偵測（AID）解決方案。

美國面臨交通違規、交通擁擠、交通事故等重大挑戰。近年來，美國各地致命車禍數量大幅增加。 2018年至2021年，死亡事故數量增加了16%以上，分別從2018年和2021年的36,835起增加到42,939起。基於視訊的AID解決方案的應用提供了即時監控能力，使當局能夠快速發現事故、交通堵塞和道路危險等事件。透過快速識別和應對這些事故，當局可以降低次生事故的風險，減少交通堵塞，並最終改善道路安全。此外，政府措施和交通技術的積極投資趨​​勢預計也將加強基於視訊的自動事件偵測（AID）解決方案的採用。

美國基於影片的自動事件偵測市場報告亮點：

  • 2024年至2030年，公路部分預計將以21.7%的複合年成長率成長。道路上車輛數量的不斷增加導致交通堵塞和道路事故數量增加，需要更完善的交通管理和安全機制。
  • 預計 2024 年至 2030 年隧道工程將以 20.6% 的複合年成長率成長。隧道是密閉空間，疏散途徑有限，增加了事故的風險和影響。 AID系統可以快速發現事故，快速反應，降低二次事故的風險。

目錄

第1章調查方法和範圍

第 2 章執行摘要

第 3 章：美國基於視訊的自動事件偵測 (AID) 市場變數、趨勢和範圍

  • 市場介紹/系統展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 市場機會分析
  • 基於視訊的自動事件偵測 (AID) 市場分析工具
    • 波特的分析
    • PESTEL分析

第4章美國基於視訊的自動事件偵測（AID）市場：應用估算與趨勢分析

  • 細分儀表板
  • 美國基於視訊的自動事故偵測
  • 路
  • 停車處
  • 高速公路
  • 隧道
  • 橋
  • 收費路
  • 港
  • 飛機場

第5章競爭狀況

  • 主要市場參與企業的最新趨勢和影響分析
  • 公司分類
  • 公司市場佔有率分析
  • 企業熱力圖分析
  • 策略規劃
    • 擴張
    • 併購
    • 夥伴關係與協作
    • 新產品發布
    • 研究與開發
  • 公司簡介
    • 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