Canada Intelligent Traffic Management System Market Overview,2030
Description
Canada’s intelligent traffic management system market stands as one of the most structured and forward-leaning in North America, shaped by a decade of modernization under federal and provincial programs such as Transport Canada’s Connected and Automated Vehicles Initiative and the Ontario Smart Mobility Corridor. The evolution from conventional traffic lights and inductive loop sensors toward cloud-based adaptive systems began with Toronto’s RESCU traffic management network, which introduced centralized signal coordination and live video feeds across the Gardiner Expressway and Don Valley Parkway. Today, Canadian cities deploy sensor-rich, AI-integrated networks using LiDAR, radar, and video analytics to detect congestion and dynamically adjust flow. Montreal’s urban network uses Siemens adaptive traffic control systems connected via fiber-optic infrastructure, while Vancouver leverages real-time data modeling to improve intersection efficiency through predictive signal management. The growing need for safety and sustainability driven by Canada’s Road Safety Strategy 2025 and Vision Zero commitments has spurred national adoption of smart signals, dynamic signage, and automated enforcement. The integration of IoT infrastructure, 5G connectivity, and edge computing enables vehicle-to-everything (V2X) pilots in Ottawa and Winnipeg, enhancing emergency vehicle preemption and transit signal priority. GIS-based mapping and predictive analytics allow cities to anticipate congestion patterns and reroute traffic during peak hours or adverse weather events. These systems differ fundamentally from legacy control by combining automation, interoperability, and cybersecurity protocols guided by ISO and IEEE standards to protect data across fiber and cloud networks. With provincial support for sustainable mobility, such as Alberta’s GreenTRIP and Quebec’s electrified transit initiatives, intelligent traffic management has become a national priority.
According to the research report, ""Canada Intelligence Traffic Management Market Overview, 2030,"" published by Bonafide Research, the Canada Intelligence Traffic Management market is expected to reach a market size of more than USD 1.09 Billion by 2030. Canada’s intelligent traffic management market is marked by collaboration between technology innovators, city governments, and infrastructure developers who are redefining how transport networks operate. Leading companies such as Kapsch TrafficCom, Siemens Mobility, Econolite, and Miovision have been instrumental in deploying integrated control centers and smart intersections across major urban regions. Miovision’s smart camera systems now manage thousands of intersections in cities like Calgary, Halifax, and Edmonton, using computer vision and machine learning to optimize flow and detect safety risks. The Ministry of Transportation Ontario has advanced connected vehicle infrastructure through the Highway 401 Innovation Corridor, supporting trials with BlackBerry QNX for cybersecurity and real-time vehicle data exchange. Montreal’s Société de transport de Montréal has integrated AI-based signal coordination with public transport scheduling, while Vancouver’s TransLink uses edge AI enforcement cameras to monitor bus-priority lanes. The adoption of 5G-enabled communication through Rogers and Bell networks is transforming real-time analytics and video streaming from intersections into centralized control centers. Calgary’s use of digital twin simulations for traffic planning and Toronto’s City Data Hub initiative reflect a growing emphasis on predictive modeling and data sharing between agencies. Canada is also investing in electrified and automated freight corridors, with the Windsor-Detroit Bridge Authority implementing ITS frameworks that incorporate automated tolling and RFID tracking for commercial vehicles. Federal and provincial funding under programs like the Smart Cities Challenge and Transport Canada’s ACATS support R&D into adaptive infrastructure and autonomous vehicle readiness. Universities including the University of Waterloo and Polytechnique Montréal collaborate on AI-powered simulation models for congestion prediction and emission control.
Canada’s intelligent traffic management landscape is illustrated by concrete deployments across provinces traffic signal control systems have been modernized in Toronto where the city piloted SCATS on Sheppard Avenue and later expanded adaptive controllers on Kingston Road to replace static timing with vehicle-responsive coordination, adaptive traffic control has also featured in Montreal and other Quebec initiatives where the city has pursued AI and priority schemes for transit and emergency vehicles with vendors such as Kapsch and TransCore engaged in orchestration work, traffic monitoring and detection systems are visible on Ontario corridors, the COMPASS/ITS initiatives on Highway 401 and regional travel-time sensing use loops, radar and Bluetooth/Wi-Fi sensors to feed operations centers, enforcement camera and ANPR capabilities are operational on toll and safety programs, exemplified by 407 ETR’s camera and tolling network and Ontario’s Automated Speed Enforcement programs in school and community safety zones, integrated corridor and incident management platforms are used by provincial traffic operations centres to coordinate highway patrol, towing and message signs during incidents across key corridors, and dynamic message and driver information systems appear on major routes and bridges, providing live traveler information, detour instructions and Amber Alert dissemination via roadside VMS and municipal traveler-information portals, demonstrating how each solution type is actively applied in Canadian practice.
Intelligent traffic management in Canada adapts to varied environments with tailored deployments urban intersections and arterials in Toronto and Montreal employ adaptive signal controllers, pedestrian monitoring and transit signal priority to reduce delays on corridors such as Sheppard Avenue and Saint-Laurent Boulevard while integrating real-time data into municipal traffic management centers, freeways and expressways in Ontario and British Columbia utilize corridor ITS and continuous monitoring - the COMPASS elements on Highway 401 and the Port Mann/Highway 1 improvements incorporate CCTV, lane control and variable speed signage for freeway operations, tunnels and bridges receive focused safety and control investments because of their constrained geometry and ventilation needs, with bridge project examples in Metro Vancouver and tunnel management practices in provinces emphasizing CCTV, incident detection and ventilation interlocks tied into provincial traffic centres, parking and intermodal hubs such as Toronto Pearson, Vancouver International Airport and Montreal’s major transit terminals deploy smart parking guidance, license plate recognition and curbside management systems to reduce cruising time and improve multimodal transfers, across these environments provincial ministries, municipal traffic operations and airport or port authorities coordinate different mixes of sensors, dynamic signs and control logic to match the operational challenges presented by dense urban streets, high-speed highways, enclosed structures and complex modal hubs.
Canada’s ITM deployments are founded on three interdependent components hardware, software and services, each exemplified by real projects and procurement models hardware comprises field sensors, loop detectors, radar units, ANPR cameras, signal cabinets and dynamic message signs installed on corridors like Highway 401, the Port Mann bridge and municipal arterials where durable equipment must withstand Canadian climates, software covers adaptive control suites, traffic management center platforms and analytics offerings from vendors such as TransCore and Kapsch used by cities and provinces to run SCATS or custom signal coordination, perform incident detection, generate traveler information and aggregate multi-source telemetry into dashboards, services include system integration, installation, calibration, maintenance and operator training procured by provincial ministries and municipalities, with long-term service contracts often bundled in modernization projects to ensure tuning and lifecycle support examples include integration contractors supporting 407 ETR tolling camera networks and maintenance agreements for municipal signal fleets, increasingly, analytics and managed-operations services deliver historical performance studies, transit priority configuration and ongoing incident response support, so practical Canadian deployments rely on robust hardware, intelligent software and service models that deliver and sustain measurable operational outcomes.
Canadian agencies use on-premise, cloud and edge-hosted deployment patterns according to security, latency and operational needs on-premise models remain common for core signal control and traffic management centers where municipalities like many Ontario cities host SCATS servers or local controllers within secure traffic operations facilities to maintain direct control and meet data-sovereignty requirements, cloud and edge-hosted approaches are increasingly adopted for scalable analytics, video processing and cross-jurisdiction coordination examples include metropolitan projects that stream camera and sensor feeds over fiber to regional compute facilities for corridor analytics while edge devices at signal cabinets perform millisecond decision-making to minimize latency, hybrid models are prevalent, where local edge units execute immediate adaptive timing while aggregated cloud services provide large-scale historical analytics, machine learning and visualization for provincial planners, transport agencies weigh cybersecurity, uninterrupted operations during winter storms, and compliance with provincial data rules when selecting models, and procurement documents commonly specify redundancy, local failover and secure cloud endpoints so Canadian deployments combine on-site control with cloud scalability and edge responsiveness to meet operational and policy constraints.
Spending on intelligent traffic management in Canada is distributed among infrastructure enterprises and PPPs, federal and provincial governments, and industries and commercial operators, each pursuing distinct objectives infrastructure enterprises and PPP concessionaires incorporate ITS in financed projects such as Port Mann/Highway 1 upgrades and tolled corridors where private partners provide tolling cameras, lane control and incident detection as part of delivery contracts, federal and provincial governments fund strategic ITS programs and operations centers through ministries of transportation and federal grants, with documented COMPASS and ITS initiatives on Highway 401 and provincial traffic operations coordinating CCTV, traveler information and emergency response in Ontario and Quebec, industries and commercial enterprises including airports, ports and large campuses invest in parking guidance, ANPR and curbside management systems to optimize throughput at Toronto Pearson, Vancouver Airport and major logistics hubs, often procuring vendor-led solutions and managed services, collectively these spender types enable a mix of public investment, private sector delivery and enterprise projects that implement detection hardware, adaptive software and ongoing services across Canada’s highways, urban streets and transportation facilities.
Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030
Aspects covered in this report
• Intelligent Traffic Management System Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation
By Solution
• Traffic Signal Control Systems
• Adaptive Traffic Control Systems
• Traffic Monitoring and Detection Systems
• Enforcement Camera and ANPR Systems
• Integrated Corridor and Incident Management Platforms
• Dynamic Message/Driver Information Systems
By End-Use Environment
• Urban Intersections and Arterials
• Freeways and Expressways
• Tunnels and Bridges
• Parking and Intermodal Hubs
By Component
• Hardware
• Software
• Services
By Deployment Model
• On-Premise
• Cloud/Edge-Hosted
By Spender Type
• Infrastructure Enterprises & PPSs
• Federal & Provincial Governments
• Industries & Commercial Enterprises
According to the research report, ""Canada Intelligence Traffic Management Market Overview, 2030,"" published by Bonafide Research, the Canada Intelligence Traffic Management market is expected to reach a market size of more than USD 1.09 Billion by 2030. Canada’s intelligent traffic management market is marked by collaboration between technology innovators, city governments, and infrastructure developers who are redefining how transport networks operate. Leading companies such as Kapsch TrafficCom, Siemens Mobility, Econolite, and Miovision have been instrumental in deploying integrated control centers and smart intersections across major urban regions. Miovision’s smart camera systems now manage thousands of intersections in cities like Calgary, Halifax, and Edmonton, using computer vision and machine learning to optimize flow and detect safety risks. The Ministry of Transportation Ontario has advanced connected vehicle infrastructure through the Highway 401 Innovation Corridor, supporting trials with BlackBerry QNX for cybersecurity and real-time vehicle data exchange. Montreal’s Société de transport de Montréal has integrated AI-based signal coordination with public transport scheduling, while Vancouver’s TransLink uses edge AI enforcement cameras to monitor bus-priority lanes. The adoption of 5G-enabled communication through Rogers and Bell networks is transforming real-time analytics and video streaming from intersections into centralized control centers. Calgary’s use of digital twin simulations for traffic planning and Toronto’s City Data Hub initiative reflect a growing emphasis on predictive modeling and data sharing between agencies. Canada is also investing in electrified and automated freight corridors, with the Windsor-Detroit Bridge Authority implementing ITS frameworks that incorporate automated tolling and RFID tracking for commercial vehicles. Federal and provincial funding under programs like the Smart Cities Challenge and Transport Canada’s ACATS support R&D into adaptive infrastructure and autonomous vehicle readiness. Universities including the University of Waterloo and Polytechnique Montréal collaborate on AI-powered simulation models for congestion prediction and emission control.
Canada’s intelligent traffic management landscape is illustrated by concrete deployments across provinces traffic signal control systems have been modernized in Toronto where the city piloted SCATS on Sheppard Avenue and later expanded adaptive controllers on Kingston Road to replace static timing with vehicle-responsive coordination, adaptive traffic control has also featured in Montreal and other Quebec initiatives where the city has pursued AI and priority schemes for transit and emergency vehicles with vendors such as Kapsch and TransCore engaged in orchestration work, traffic monitoring and detection systems are visible on Ontario corridors, the COMPASS/ITS initiatives on Highway 401 and regional travel-time sensing use loops, radar and Bluetooth/Wi-Fi sensors to feed operations centers, enforcement camera and ANPR capabilities are operational on toll and safety programs, exemplified by 407 ETR’s camera and tolling network and Ontario’s Automated Speed Enforcement programs in school and community safety zones, integrated corridor and incident management platforms are used by provincial traffic operations centres to coordinate highway patrol, towing and message signs during incidents across key corridors, and dynamic message and driver information systems appear on major routes and bridges, providing live traveler information, detour instructions and Amber Alert dissemination via roadside VMS and municipal traveler-information portals, demonstrating how each solution type is actively applied in Canadian practice.
Intelligent traffic management in Canada adapts to varied environments with tailored deployments urban intersections and arterials in Toronto and Montreal employ adaptive signal controllers, pedestrian monitoring and transit signal priority to reduce delays on corridors such as Sheppard Avenue and Saint-Laurent Boulevard while integrating real-time data into municipal traffic management centers, freeways and expressways in Ontario and British Columbia utilize corridor ITS and continuous monitoring - the COMPASS elements on Highway 401 and the Port Mann/Highway 1 improvements incorporate CCTV, lane control and variable speed signage for freeway operations, tunnels and bridges receive focused safety and control investments because of their constrained geometry and ventilation needs, with bridge project examples in Metro Vancouver and tunnel management practices in provinces emphasizing CCTV, incident detection and ventilation interlocks tied into provincial traffic centres, parking and intermodal hubs such as Toronto Pearson, Vancouver International Airport and Montreal’s major transit terminals deploy smart parking guidance, license plate recognition and curbside management systems to reduce cruising time and improve multimodal transfers, across these environments provincial ministries, municipal traffic operations and airport or port authorities coordinate different mixes of sensors, dynamic signs and control logic to match the operational challenges presented by dense urban streets, high-speed highways, enclosed structures and complex modal hubs.
Canada’s ITM deployments are founded on three interdependent components hardware, software and services, each exemplified by real projects and procurement models hardware comprises field sensors, loop detectors, radar units, ANPR cameras, signal cabinets and dynamic message signs installed on corridors like Highway 401, the Port Mann bridge and municipal arterials where durable equipment must withstand Canadian climates, software covers adaptive control suites, traffic management center platforms and analytics offerings from vendors such as TransCore and Kapsch used by cities and provinces to run SCATS or custom signal coordination, perform incident detection, generate traveler information and aggregate multi-source telemetry into dashboards, services include system integration, installation, calibration, maintenance and operator training procured by provincial ministries and municipalities, with long-term service contracts often bundled in modernization projects to ensure tuning and lifecycle support examples include integration contractors supporting 407 ETR tolling camera networks and maintenance agreements for municipal signal fleets, increasingly, analytics and managed-operations services deliver historical performance studies, transit priority configuration and ongoing incident response support, so practical Canadian deployments rely on robust hardware, intelligent software and service models that deliver and sustain measurable operational outcomes.
Canadian agencies use on-premise, cloud and edge-hosted deployment patterns according to security, latency and operational needs on-premise models remain common for core signal control and traffic management centers where municipalities like many Ontario cities host SCATS servers or local controllers within secure traffic operations facilities to maintain direct control and meet data-sovereignty requirements, cloud and edge-hosted approaches are increasingly adopted for scalable analytics, video processing and cross-jurisdiction coordination examples include metropolitan projects that stream camera and sensor feeds over fiber to regional compute facilities for corridor analytics while edge devices at signal cabinets perform millisecond decision-making to minimize latency, hybrid models are prevalent, where local edge units execute immediate adaptive timing while aggregated cloud services provide large-scale historical analytics, machine learning and visualization for provincial planners, transport agencies weigh cybersecurity, uninterrupted operations during winter storms, and compliance with provincial data rules when selecting models, and procurement documents commonly specify redundancy, local failover and secure cloud endpoints so Canadian deployments combine on-site control with cloud scalability and edge responsiveness to meet operational and policy constraints.
Spending on intelligent traffic management in Canada is distributed among infrastructure enterprises and PPPs, federal and provincial governments, and industries and commercial operators, each pursuing distinct objectives infrastructure enterprises and PPP concessionaires incorporate ITS in financed projects such as Port Mann/Highway 1 upgrades and tolled corridors where private partners provide tolling cameras, lane control and incident detection as part of delivery contracts, federal and provincial governments fund strategic ITS programs and operations centers through ministries of transportation and federal grants, with documented COMPASS and ITS initiatives on Highway 401 and provincial traffic operations coordinating CCTV, traveler information and emergency response in Ontario and Quebec, industries and commercial enterprises including airports, ports and large campuses invest in parking guidance, ANPR and curbside management systems to optimize throughput at Toronto Pearson, Vancouver Airport and major logistics hubs, often procuring vendor-led solutions and managed services, collectively these spender types enable a mix of public investment, private sector delivery and enterprise projects that implement detection hardware, adaptive software and ongoing services across Canada’s highways, urban streets and transportation facilities.
Considered in this report
• Historic Year: 2019
• Base year: 2024
• Estimated year: 2025
• Forecast year: 2030
Aspects covered in this report
• Intelligent Traffic Management System Market with its value and forecast along with its segments
• Various drivers and challenges
• On-going trends and developments
• Top profiled companies
• Strategic recommendation
By Solution
• Traffic Signal Control Systems
• Adaptive Traffic Control Systems
• Traffic Monitoring and Detection Systems
• Enforcement Camera and ANPR Systems
• Integrated Corridor and Incident Management Platforms
• Dynamic Message/Driver Information Systems
By End-Use Environment
• Urban Intersections and Arterials
• Freeways and Expressways
• Tunnels and Bridges
• Parking and Intermodal Hubs
By Component
• Hardware
• Software
• Services
By Deployment Model
• On-Premise
• Cloud/Edge-Hosted
By Spender Type
• Infrastructure Enterprises & PPSs
• Federal & Provincial Governments
• Industries & Commercial Enterprises
Table of Contents
86 Pages
- 1. Executive Summary
- 2. Market Structure
- 2.1. Market Considerate
- 2.2. Assumptions
- 2.3. Limitations
- 2.4. Abbreviations
- 2.5. Sources
- 2.6. Definitions
- 3. Research Methodology
- 3.1. Secondary Research
- 3.2. Primary Data Collection
- 3.3. Market Formation & Validation
- 3.4. Report Writing, Quality Check & Delivery
- 4. Canada Geography
- 4.1. Population Distribution Table
- 4.2. Canada Macro Economic Indicators
- 5. Market Dynamics
- 5.1. Key Insights
- 5.2. Recent Developments
- 5.3. Market Drivers & Opportunities
- 5.4. Market Restraints & Challenges
- 5.5. Market Trends
- 5.6. Supply chain Analysis
- 5.7. Policy & Regulatory Framework
- 5.8. Industry Experts Views
- 6. Canada Intelligent Traffic Management System Market Overview
- 6.1. Market Size By Value
- 6.2. Market Size and Forecast, Solution
- 6.3. Market Size and Forecast, End-Use Environment
- 6.4. Market Size and Forecast, Component
- 6.5. Market Size and Forecast, Deployment Model
- 6.6. Market Size and Forecast, By Spender Type
- 6.7. Market Size and Forecast, By Region
- 7. Canada Intelligent Traffic Management System Market Segmentations
- 7.1. Canada Intelligent Traffic Management System Market, By Solution
- 7.1.1. Canada Intelligent Traffic Management System Market Size, By Traffic Signal Control Systems, 2019-2030
- 7.1.2. Canada Intelligent Traffic Management System Market Size, By Adaptive Traffic Control Systems, 2019-2030
- 7.1.3. Canada Intelligent Traffic Management System Market Size, By Traffic Monitoring and Detection Systems, 2019-2030
- 7.1.4. Canada Intelligent Traffic Management System Market Size, By Enforcement Camera and ANPR Systems, 2019-2030
- 7.1.5. Canada Intelligent Traffic Management System Market Size, By Integrated Corridor and Incident Management Platforms, 2019-2030
- 7.1.6. Canada Intelligent Traffic Management System Market Size, By Dynamic Message/Driver Information Systems, 2019-2030
- 7.2. Canada Intelligent Traffic Management System Market, By End-Use Environment
- 7.2.1. Canada Intelligent Traffic Management System Market Size, By Urban Intersections and Arterials, 2019-2030
- 7.2.2. Canada Intelligent Traffic Management System Market Size, By Freeways and Expressways, 2019-2030
- 7.2.3. Canada Intelligent Traffic Management System Market Size, By Tunnels and Bridges, 2019-2030
- 7.2.4. Canada Intelligent Traffic Management System Market Size, By Parking and Intermodal Hubs, 2019-2030
- 7.3. Canada Intelligent Traffic Management System Market, By Component
- 7.3.1. Canada Intelligent Traffic Management System Market Size, By Hardware, 2019-2030
- 7.3.2. Canada Intelligent Traffic Management System Market Size, By Software, 2019-2030
- 7.3.3. Canada Intelligent Traffic Management System Market Size, By Services, 2019-2030
- 7.4. Canada Intelligent Traffic Management System Market, By Deployment Model
- 7.4.1. Canada Intelligent Traffic Management System Market Size, By On-Premise, 2019-2030
- 7.4.2. Canada Intelligent Traffic Management System Market Size, By Cloud/Edge-Hosted, 2019-2030
- 7.5. Canada Intelligent Traffic Management System Market, By Spender Type
- 7.5.1. Canada Intelligent Traffic Management System Market Size, By Infrastructure Enterprises & PPSs, 2019-2030
- 7.5.2. Canada Intelligent Traffic Management System Market Size, By Federal & Provincial Governments, 2019-2030
- 7.5.3. Canada Intelligent Traffic Management System Market Size, By Industries & Commercial Enterprises, 2019-2030
- 7.6. Canada Intelligent Traffic Management System Market, By Region
- 7.6.1. Canada Intelligent Traffic Management System Market Size, By North, 2019-2030
- 7.6.2. Canada Intelligent Traffic Management System Market Size, By East, 2019-2030
- 7.6.3. Canada Intelligent Traffic Management System Market Size, By West, 2019-2030
- 7.6.4. Canada Intelligent Traffic Management System Market Size, By South, 2019-2030
- 8. Canada Intelligent Traffic Management System Market Opportunity Assessment
- 8.1. By Solution, 2025 to 2030
- 8.2. By End-Use Environment, 2025 to 2030
- 8.3. By Component, 2025 to 2030
- 8.4. By Deployment Model, 2025 to 2030
- 8.5. By Spender Type, 2025 to 2030
- 8.6. By Region, 2025 to 2030
- 9. Competitive Landscape
- 9.1. Porter's Five Forces
- 9.2. Company Profile
- 9.2.1. Company 1
- 9.2.1.1. Company Snapshot
- 9.2.1.2. Company Overview
- 9.2.1.3. Financial Highlights
- 9.2.1.4. Geographic Insights
- 9.2.1.5. Business Segment & Performance
- 9.2.1.6. Product Portfolio
- 9.2.1.7. Key Executives
- 9.2.1.8. Strategic Moves & Developments
- 9.2.2. Company 2
- 9.2.3. Company 3
- 9.2.4. Company 4
- 9.2.5. Company 5
- 9.2.6. Company 6
- 9.2.7. Company 7
- 9.2.8. Company 8
- 10. Strategic Recommendations
- 11. Disclaimer
- List of Figures
- Figure 1: Canada Intelligent Traffic Management System Market Size By Value (2019, 2024 & 2030F) (in USD Million)
- Figure 2: Market Attractiveness Index, Solution
- Figure 3: Market Attractiveness Index, End-Use Environment
- Figure 4: Market Attractiveness Index, Component
- Figure 5: Market Attractiveness Index, Deployment Model
- Figure 6: Market Attractiveness Index, By Spender Type
- Figure 7: Market Attractiveness Index, By Region
- Figure 8: Porter's Five Forces of Canada Intelligent Traffic Management System Market
- List of Tables
- Table 1: Influencing Factors for Intelligent Traffic Management System Market, 2024
- Table 2: Canada Intelligent Traffic Management System Market Size and Forecast, Solution (2019 to 2030F) (In USD Million)
- Table 3: Canada Intelligent Traffic Management System Market Size and Forecast, End-Use Environment (2019 to 2030F) (In USD Million)
- Table 4: Canada Intelligent Traffic Management System Market Size and Forecast, Component (2019 to 2030F) (In USD Million)
- Table 5: Canada Intelligent Traffic Management System Market Size and Forecast, Deployment Model (2019 to 2030F) (In USD Million)
- Table 6: Canada Intelligent Traffic Management System Market Size and Forecast, By Spender Type (2019 to 2030F) (In USD Million)
- Table 7: Canada Intelligent Traffic Management System Market Size and Forecast, By Region (2019 to 2030F) (In USD Million)
- Table 8: Canada Intelligent Traffic Management System Market Size of Traffic Signal Control Systems (2019 to 2030) in USD Million
- Table 9: Canada Intelligent Traffic Management System Market Size of Adaptive Traffic Control Systems (2019 to 2030) in USD Million
- Table 10: Canada Intelligent Traffic Management System Market Size of Traffic Monitoring and Detection Systems (2019 to 2030) in USD Million
- Table 11: Canada Intelligent Traffic Management System Market Size of Enforcement Camera and ANPR Systems (2019 to 2030) in USD Million
- Table 12: Canada Intelligent Traffic Management System Market Size of Integrated Corridor and Incident Management Platforms (2019 to 2030) in USD Million
- Table 13: Canada Intelligent Traffic Management System Market Size of Dynamic Message/Driver Information Systems (2019 to 2030) in USD Million
- Table 14: Canada Intelligent Traffic Management System Market Size of Urban Intersections and Arterials (2019 to 2030) in USD Million
- Table 15: Canada Intelligent Traffic Management System Market Size of Freeways and Expressways (2019 to 2030) in USD Million
- Table 16: Canada Intelligent Traffic Management System Market Size of Tunnels and Bridges (2019 to 2030) in USD Million
- Table 17: Canada Intelligent Traffic Management System Market Size of Parking and Intermodal Hubs (2019 to 2030) in USD Million
- Table 18: Canada Intelligent Traffic Management System Market Size of Hardware (2019 to 2030) in USD Million
- Table 19: Canada Intelligent Traffic Management System Market Size of Software (2019 to 2030) in USD Million
- Table 20: Canada Intelligent Traffic Management System Market Size of Services (2019 to 2030) in USD Million
- Table 21: Canada Intelligent Traffic Management System Market Size of On-Premise (2019 to 2030) in USD Million
- Table 22: Canada Intelligent Traffic Management System Market Size of Cloud/Edge-Hosted (2019 to 2030) in USD Million
- Table 23: Canada Intelligent Traffic Management System Market Size of Infrastructure Enterprises & PPSs (2019 to 2030) in USD Million
- Table 24: Canada Intelligent Traffic Management System Market Size of Federal & Provincial Governments (2019 to 2030) in USD Million
- Table 25: Canada Intelligent Traffic Management System Market Size of Industries & Commercial Enterprises (2019 to 2030) in USD Million
- Table 26: Canada Intelligent Traffic Management System Market Size of North (2019 to 2030) in USD Million
- Table 27: Canada Intelligent Traffic Management System Market Size of East (2019 to 2030) in USD Million
- Table 28: Canada Intelligent Traffic Management System Market Size of West (2019 to 2030) in USD Million
- Table 29: Canada Intelligent Traffic Management System Market Size of South (2019 to 2030) in USD Million
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