U.S. Video-based Automatic Incident Detection Market Size, Share & Trends Analysis Report By Application (Road, Tunnels, Highways, Bridges), And Segment Forecasts, 2024 - 2030
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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
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.
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
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)
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
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
