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The Intelligent Roadways Transportation System Market was valued at USD 22.4 billion in 2023 and is expected to reach USD 44.4 billion by 2032, growing at a CAGR of 7.93% over 2024-2032.
The Intelligent Roadways Transportation System market is evolving rapidly, fueled by advancements in smart technologies, rising urbanization, and the growing demand for sustainable mobility solutions. These systems leverage AI, IoT, and big data to enhance transportation efficiency, reduce congestion, and improve safety. One key factor driving the market is the rise in road fatalities and congestion. For instance, in the U.S., road deaths increased by 7% in the first quarter of 2022 compared to the previous year. Advanced systems like intelligent traffic management and collision avoidance technologies are critical in addressing these challenges. Governments worldwide invest heavily in such systems to improve traffic conditions and reduce emissions. For example, the European Union's C-ITS initiatives aim to deploy vehicle-to-infrastructure communication to improve traffic efficiency and safety.
Another growth driver is the increasing adoption of smart city initiatives globally. Projects like Smart Columbus in the U.S. integrate intelligent transportation systems to enhance urban mobility. In Asia-Pacific, rapid urbanization is pushing governments to develop intelligent traffic control systems to accommodate growing populations and vehicular density. Statistically, the implementation of advanced traffic management systems has shown tangible benefits. Cities that deployed ITS solutions reported reductions in congestion by 20-30% and fuel consumption by up to 15%. Parking management solutions, a subset of intelligent systems, have been shown to reduce search times for parking by 43%, saving significant time and reducing emissions.
Furthermore, investments in smart mobility technologies are accelerating. Companies are developing innovative solutions such as automated toll collection, real-time traffic monitoring, and integrated ticketing systems to enhance user convenience and optimize network performance. In summary, the Intelligent Roadways Transportation System market is witnessing significant growth, driven by technological innovation, government support, and a focus on sustainable urban development. With continued advancements, these systems are expected to revolutionize how cities manage transportation, making roadways safer, greener, and more efficient.
| Year | Accident Reduction (%) | Contributing Technologies | Example Region |
|---|---|---|---|
| 2018 | 5% | Traffic signal optimization, collision warning systems | U.S., urban cities |
| 2019 | 7% | Automated traffic monitoring, dynamic speed control | Europe, highway routes |
| 2020 | 10% | Real-time navigation, vehicle-to-infrastructure (V2I) | Asia-Pacific, smart cities |
| 2021 | 12% | Advanced Driver Assistance Systems (ADAS), smart parking | North America, urban hubs |
| 2022 | 15% | AI-based traffic prediction, emergency response systems | Europe, metropolitan areas |
| 2023 | 18% | Integrated ITS platforms, augmented reality navigation | U.S., large metro areas |
Drivers
Rising use of V2X (vehicle-to-everything) technology supports intelligent traffic systems.
Implementation of toll automation and congestion-based pricing enhances revenue collection and reduces traffic bottlenecks.
Faster incident detection and management systems reduce response times and mitigate accident impacts.
In the Intelligent Roadways Transportation System market, rapid incident detection and management systems are pivotal for improving roadway safety and traffic efficiency. These systems employ cutting-edge technologies such as IoT-enabled sensors, AI-based analytics, and real-time monitoring tools to identify accidents, breakdowns, or other disruptions immediately. This capability allows traffic management centers to respond promptly by dispatching emergency services, redirecting vehicles, or issuing instant alerts to drivers. The ability to reduce response times is a transformative benefit. Traditional methods often rely on delayed manual reporting, which can intensify traffic jams and hinder emergency interventions. In contrast, intelligent systems continuously monitor traffic using high-resolution cameras, automated detection algorithms, and communication networks. For example, vehicle-to-infrastructure (V2I) technologies instantly relay incident details to relevant authorities, ensuring quicker deployment of assistance, such as tow trucks or medical teams. Beyond speeding up responses, these systems help mitigate secondary accidents and economic losses. By offering real-time alternate routes, they alleviate congestion and prevent additional collisions near incident sites. Furthermore, detailed alerts equip emergency responders with essential information, enabling them to arrive prepared and reduce fatalities effectively. Such systems also aid in urban planning and policymaking. Data collected through incident detection technologies is analyzed to pinpoint high-risk areas, facilitating targeted infrastructure upgrades and safety measures. Predictive analytics powered by AI can identify potential accident hotspots, enabling proactive interventions like enhanced traffic monitoring or improved road conditions.
These advancements contribute significantly to saving lives, optimizing traffic flow, and reducing financial impacts. As global adoption of intelligent transportation technologies rises, rapid incident detection and management systems are becoming central to creating safer, more efficient, and resilient road networks tailored to future mobility demands.
Restraints
The integration of advanced technologies like IoT, AI, and V2X communication requires significant investment in infrastructure, limiting adoption in developing regions.
The reliance on real-time data collection and sharing raises concerns about hacking and data breaches, impacting user trust.
The operation and maintenance of sophisticated ITS technologies demand skilled personnel, which is scarce in many regions.
The operation and maintenance of advanced Intelligent Transportation System (ITS) technologies require highly specialized skills, yet many regions, particularly in developing or underserved areas, face a scarcity of trained personnel. These technologies, encompassing real-time traffic monitoring, automated incident detection, and vehicle-to-infrastructure communication, rely on cutting-edge tools like AI, IoT, and data analytics. Their deployment and upkeep demand expertise in system design, programming, network management, and data interpretation to ensure optimal functionality. A lack of tailored training programs and technical education has made it challenging for many regions to cultivate the necessary workforce. This issue is especially pronounced in low-income or remote areas where educational and infrastructure resources are inadequate, leading to delays in implementation and inefficient operation of ITS systems. Furthermore, the rapid pace of innovation in the ITS market increases the need for continual skill enhancement. Employees must stay abreast of new technologies, software updates, and evolving industry standards, placing an added burden on workers and employers—especially in areas where opportunities for upskilling are limited.
Beyond technical proficiency, ITS professionals must understand regional transportation policies and challenges to tailor applications to local contexts. Addressing this skills gap requires significant investment in workforce development initiatives, such as establishing training centers, creating certification programs, and fostering international collaborations for knowledge exchange. To mitigate these challenges, governments and industry leaders are prioritizing public-private partnerships and capacity-building initiatives. Global ITS organizations frequently partner with academic institutions to develop specialized courses and certifications aimed at preparing a skilled workforce. These efforts are critical to overcoming the skills shortage and ensuring the long-term success of ITS technologies, enhancing transportation systems' efficiency and safety worldwide.
By Type
The Advanced Traffic Management System (ATMS) segment dominated the market with over 31.23% share in 2023. Traffic monitoring systems are likely to be propelling the adoption of pioneering government initiatives for the development of traffic infrastructures, that work to the advantage of the systems. ATMS integrates communications technology, data processing technology, and sensors to enable real-time management of transportation network operations, consistent with industry trends.
The Advanced Public Transportation System segment is projected to have the highest CAGR from 2024 to 2032. Moreover, the digital transformation strategies of the public transportation sector, such as the APTS aid in improving the productivity and quality of travel, along with supporting the comfort and overall customer experience, which in turn is driving the segment growth in the roadway ITS market.
By Application
In 2022, traffic management held the largest revenue share of over 29.75%. Perhaps one of the more visible fronts, the integration of advanced technology such as sensors, cameras, and other monitoring devices will make transportation networks more safe and sustainable. Traffic control authorities can seamlessly regulate traffic signals, and route diversions, and enhance vehicle passage during peak hours through the analysis and processing of real-time traffic data that includes traffic flow, congestion, and other incidents, thereby aiding the growth of the segment.
The automotive telematics segment is expected to reach the highest CAGR, between 2024 and 2032. Examples of intelligent transportation system applications involving auto telecoms include vehicle telematics; integrated global positioning system (GPS) systems; wireless auto telecom systems; on-board vehicle diagnostics; and black box technologies that capture or transmit vehicle usage patterns, including additional location, speed, maintenance, and vehicle-to-vehicle interaction data over time and internally. The data is analyzed in real-time for better safety, cost saving, and performance of drivers, which is expected to boost the potential for vehicle telematics solutions in the roadway intelligent transportation system market.
North America dominated the market and represented a revenue share more than of 36.50% in 2023, supported by the governments, smart city initiatives, and research activities in the region. Innovative technologies, especially AI and IoT, are being used by the region to enhance road safety and traffic management. A high level of infrastructure investments and public-private partnerships to modernize transportation networks is driving the North American market. Moreover, the very need of the region to reduce carbon emissions, and improve mobility underwrites its position in IRTS leadership.
Asia Pacific (APAC) will grow at the highest CAGR. APAC is expected to emerge as the fastest-growing region in the traffic management market due to rapid urbanization, high population growth, and smart city projects by different countries in the region such as China, India, and Japan which require effective traffic management solutions for dealing with congestion. With the deployment of 5G technology and the smart infrastructure that these regions enjoy immense growth prospects, we expect to see substantial investment in the ITS space in China as part of the Belt and Road Initiative.
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The major key players along with products are
Siemens AG - Sitraffic Smart City
Kapsch TrafficCom - Kapsch Traffic Management Solutions
Thales Group - Thales Urban Traffic Management System
Cubic Corporation - Cubic Traffic Management Systems
Honeywell International Inc. - Honeywell Intelligent Transportation Solutions
Neology Inc. - Neology Traffic Solutions
Telenav, Inc. - Telenav Navigation Solutions
TomTom International - TomTom Traffic
IBM Corporation - IBM Intelligent Transportation Solutions
Swarco AG - Swarco Traffic Management Systems
Garmin Ltd. - Garmin Traffic Solutions
Daimler AG - Daimler Connected Vehicle Services
Aptiv PLC - Aptiv Advanced Driver Assistance Systems (ADAS)
Alstom - Alstom Urban Mobility Solutions
Ericsson - Ericsson Connected Vehicle Cloud
Iteris, Inc. - Iteris Vantage
Hitachi Ltd. - Hitachi Traffic Control Solutions
FLIR Systems - FLIR Traffic Management Solutions
Zebra Technologies Corporation - Zebra Real-Time Location Solutions
March 24: Lanner showcased a robust line-up of intelligent traffic management systems and rugged in-vehicle computers designed for fleet monitoring and real-time traffic control. These solutions aim to enhance traffic efficiency through advanced data analytics and communication technologies.
June 2023: ZTE and Tianyi Transportation Technology unveiled a 5G+ intelligent connected vehicle system at the Mobile World Congress in Shanghai. This breakthrough integrates vehicle-road-cloud technology to accelerate autonomous driving commercialization.
January 2024: NEC has initiated a project to enhance public transportation systems in India, partnering with the Uttar Pradesh State Road Transport Corporation (UPSRTC) to implement an Intelligent Vehicle Location Tracking and Passenger Information System (VLT-PSIS). This system will include AIS 140-compliant tracking devices and emergency safety buttons across buses.
| Report Attributes | Details |
|---|---|
| Market Size in 2023 | US$ 22.4 Billion |
| Market Size by 2032 | US$ 44.4 Billion |
| CAGR | CAGR of 7.93% from 2024 to 2032 |
| Base Year | 2022 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Type (Advanced Traveler Information System, Advanced Traffic Management System, Advanced Transportation Pricing System, Advanced Public Transportation System, Emergency Medical System)• By Application (Traffic Management, Road Safety and Security, Freight Management, Public Transport, Environment Protection, Automotive Telematics, Parking Management, Road Tolling Systems) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia, Rest of Latin America) |
| Company Profiles | Siemens AG, Kapsch TrafficCom, Thales Group, Cubic Corporation, Honeywell International Inc, Neology Inc, Telenav, TomTom International, IBM Corporation, Swarco AG, Garmin Ltd, Daimler AG, Aptiv PLC, Alstom, Ericsson, Iteris, Hitachi Ltd, FLIR Systems, Zebra Technologies Corporation |
| Key Drivers | • Rising use of V2X (vehicle-to-everything) technology supports intelligent traffic systems. • Implementation of toll automation and congestion-based pricing enhances revenue collection and reduces traffic bottlenecks. • Faster incident detection and management systems reduce response times and mitigate accident impacts. |
| Market Restraints | • The integration of advanced technologies like IoT, AI, and V2X communication requires significant investment in infrastructure, limiting adoption in developing regions. • The reliance on real-time data collection and sharing raises concerns about hacking and data breaches, impacting user trust. • The operation and maintenance of sophisticated ITS technologies demand skilled personnel, which is scarce in many regions. |
Ans- The Intelligent Roadways Transportation System Market was valued at USD 22.4 billion in 2023 and is expected to reach USD 44.4 billion by 2032, growing at a CAGR of 7.93% over 2024-2032.
Ans- The Intelligent Roadways Transportation System Market is expected to grow at a CAGR of 7.93% during the forecast period of 2024-2032.
Ans- The North America region dominated the Intelligent Roadways Transportation System Market in 2023.
Ans- Some of the major drivers of Intelligent Roadways Transportation System Market growth are:
Rising use of V2X (vehicle-to-everything) technology supports intelligent traffic systems.
Implementation of toll automation and congestion-based pricing enhances revenue collection and reduces traffic bottlenecks.
Faster incident detection and management systems reduce response times and mitigate accident impacts.
Ans- Some of the challenges restraining the Intelligent Roadways Transportation System Market are:
The integration of advanced technologies like IoT, AI, and V2X communication requires significant investment in infrastructure, limiting adoption in developing regions.
The reliance on real-time data collection and sharing raises concerns about hacking and data breaches, impacting user trust.
The operation and maintenance of sophisticated ITS technologies demand skilled personnel, which is scarce in many regions.
Table of Contents:
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.2 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Adoption Rates of Emerging Technologies
5.2 Network Infrastructure Expansion, by Region
5.3 Cybersecurity Incidents, by Region (2020-2023)
5.4 Cloud Services Usage, by Region
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and supply chain strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Intelligent Roadways Transportation System Market Segmentation, by Type
7.1 Chapter Overview
7.2 Advanced Traveler Information System (ATIS)
7.2.1 Advanced Traveler Information System (ATIS) Market Trends Analysis (2020-2032)
7.2.2 Advanced Traveler Information System (ATIS) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Advanced Traffic Management System (ATMS)
7.3.1 Advanced Traffic Management System (ATMS) Market Trends Analysis (2020-2032)
7.3.2 Advanced Traffic Management System (ATMS) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Advanced Transportation Pricing System (ATPS)
7.4.1 Advanced Transportation Pricing System (ATPS) Market Trends Analysis (2020-2032)
7.4.2 Advanced Transportation Pricing System (ATPS) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Advanced Public Transportation System (APTS)
7.5.1 Advanced Public Transportation System (APTS) Market Trends Analysis (2020-2032)
7.5.2 Advanced Public Transportation System (APTS) Market Size Estimates and Forecasts to 2032 (USD Billion)
7.6 Emergency Medical System (EMS)
7.6.1 Emergency Medical System (EMS) Market Trends Analysis (2020-2032)
7.6.2 Emergency Medical System (EMS) Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Intelligent Roadways Transportation System Market Segmentation, by Application
8.1 Chapter Overview
8.2 Traffic Management
8.2.1 Traffic Management Market Trends Analysis (2020-2032)
8.2.2 Traffic Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Road Safety and Security
8.3.1 Road Safety and Security Market Trends Analysis (2020-2032)
8.3.2 Road Safety and Security Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Freight Management
8.4.1 Freight Management Market Trends Analysis (2020-2032)
8.4.2 Freight Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Public Transport
8.5.1 Public Transport Market Trends Analysis (2020-2032)
8.5.2 Public Transport Market Size Estimates and Forecasts to 2032 (USD Billion)
8.6 Environment Protection
8.6.1 Environment Protection Market Trends Analysis (2020-2032)
8.6.2 Environment Protection Market Size Estimates and Forecasts to 2032 (USD Billion)
8.7 Automotive Telematics
8.7.1 Automotive Telematics Market Trends Analysis (2020-2032)
8.7.2 Automotive Telematics Market Size Estimates and Forecasts to 2032 (USD Billion)
8.8 Parking Management
8.8.1 Parking Management Market Trends Analysis (2020-2032)
8.8.2 Parking Management Market Size Estimates and Forecasts to 2032 (USD Billion)
8.9 Road Tolling Systems
8.9.1 Road Tolling Systems Market Trends Analysis (2020-2032)
8.9.2 Road Tolling Systems Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Regional Analysis
9.1 Chapter Overview
9.2 North America
9.2.1 Trends Analysis
9.2.2 North America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.2.3 North America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.4 North America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.5 USA
9.2.5.1 USA Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.5.2 USA Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.6 Canada
9.2.6.1 Canada Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.6.2 Canada Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.2.7 Mexico
9.2.7.1 Mexico Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Mexico Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3 Europe
9.3.1 Eastern Europe
9.3.1.1 Trends Analysis
9.3.1.2 Eastern Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.1.3 Eastern Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.4 Eastern Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.5 Poland
9.3.1.5.1 Poland Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.5.2 Poland Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.6 Romania
9.3.1.6.1 Romania Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.6.2 Romania Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.7 Hungary
9.3.1.7.1 Hungary Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.7.2 Hungary Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.8 Turkey
9.3.1.8.1 Turkey Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.8.2 Turkey Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.1.9 Rest of Eastern Europe
9.3.1.9.1 Rest of Eastern Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.1.9.2 Rest of Eastern Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2 Western Europe
9.3.2.1 Trends Analysis
9.3.2.2 Western Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.3.2.3 Western Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.4 Western Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.5 Germany
9.3.2.5.1 Germany Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.5.2 Germany Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.6 France
9.3.2.6.1 France Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.6.2 France Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.7 UK
9.3.2.7.1 UK Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.7.2 UK Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.8 Italy
9.3.2.8.1 Italy Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.8.2 Italy Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.9 Spain
9.3.2.9.1 Spain Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.9.2 Spain Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.10 Netherlands
9.3.2.10.1 Netherlands Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.10.2 Netherlands Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.11 Switzerland
9.3.2.11.1 Switzerland Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.11.2 Switzerland Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.12 Austria
9.3.2.12.1 Austria Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.12.2 Austria Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.3.2.13 Rest of Western Europe
9.3.2.13.1 Rest of Western Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.3.2.13.2 Rest of Western Europe Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4 Asia Pacific
9.4.1 Trends Analysis
9.4.2 Asia Pacific Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.4.3 Asia Pacific Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.4 Asia Pacific Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 China
9.4.5.1 China Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 China Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 India
9.4.5.1 India Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 India Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.5 Japan
9.4.5.1 Japan Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.5.2 Japan Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.6 South Korea
9.4.6.1 South Korea Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.6.2 South Korea Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.7 Vietnam
9.4.7.1 Vietnam Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.2.7.2 Vietnam Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.8 Singapore
9.4.8.1 Singapore Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.8.2 Singapore Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.9 Australia
9.4.9.1 Australia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.9.2 Australia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.4.10 Rest of Asia Pacific
9.4.10.1 Rest of Asia Pacific Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.4.10.2 Rest of Asia Pacific Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5 Middle East and Africa
9.5.1 Middle East
9.5.1.1 Trends Analysis
9.5.1.2 Middle East Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.1.3 Middle East Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.4 Middle East Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.5 UAE
9.5.1.5.1 UAE Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.5.2 UAE Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.6 Egypt
9.5.1.6.1 Egypt Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.6.2 Egypt Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.7 Saudi Arabia
9.5.1.7.1 Saudi Arabia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.7.2 Saudi Arabia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.8 Qatar
9.5.1.8.1 Qatar Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.8.2 Qatar Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.1.9 Rest of Middle East
9.5.1.9.1 Rest of Middle East Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.1.9.2 Rest of Middle East Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2 Africa
9.5.2.1 Trends Analysis
9.5.2.2 Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.5.2.3 Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.4 Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.5 South Africa
9.5.2.5.1 South Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.5.2 South Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.6 Nigeria
9.5.2.6.1 Nigeria Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.6.2 Nigeria Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.5.2.7 Rest of Africa
9.5.2.7.1 Rest of Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.5.2.7.2 Rest of Africa Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6 Latin America
9.6.1 Trends Analysis
9.6.2 Latin America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Country (2020-2032) (USD Billion)
9.6.3 Latin America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.4 Latin America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.5 Brazil
9.6.5.1 Brazil Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.5.2 Brazil Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.6 Argentina
9.6.6.1 Argentina Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.6.2 Argentina Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.7 Colombia
9.6.7.1 Colombia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.7.2 Colombia Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
9.6.8 Rest of Latin America
9.6.8.1 Rest of Latin America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Type (2020-2032) (USD Billion)
9.6.8.2 Rest of Latin America Intelligent Roadways Transportation System Market Estimates and Forecasts, by Application (2020-2032) (USD Billion)
10. Company Profiles
10.1 Siemens AG
10.1.1 Company Overview
10.1.2 Financial
10.1.3 Products/ Services Offered
110.1.4 SWOT Analysis
10.2 Kapsch TrafficCom
10.2.1 Company Overview
10.2.2 Financial
10.2.3 Products/ Services Offered
10.2.4 SWOT Analysis
10.3 Thales Group
10.3.1 Company Overview
10.3.2 Financial
10.3.3 Products/ Services Offered
10.3.4 SWOT Analysis
10.4 Cubic Corporation
10.4.1 Company Overview
10.4.2 Financial
10.4.3 Products/ Services Offered
10.4.4 SWOT Analysis
10.5 Honeywell International Inc.
10.5.1 Company Overview
10.5.2 Financial
10.5.3 Products/ Services Offered
10.5.4 SWOT Analysis
10.6 Neology Inc.
10.6.1 Company Overview
10.6.2 Financial
10.6.3 Products/ Services Offered
10.6.4 SWOT Analysis
10.7 Telenav, Inc.
10.7.1 Company Overview
10.7.2 Financial
10.7.3 Products/ Services Offered
10.7.4 SWOT Analysis
10.8 TomTom International
10.8.1 Company Overview
10.8.2 Financial
10.8.3 Products/ Services Offered
10.8.4 SWOT Analysis
10.9 IBM Corporation
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
10.10 Swarco AG
10.9.1 Company Overview
10.9.2 Financial
10.9.3 Products/ Services Offered
10.9.4 SWOT Analysis
11. Use Cases and Best Practices
12. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Type
Advanced Traveler Information System (ATIS)
Advanced Traffic Management System (ATMS)
Advanced Transportation Pricing System (ATPS)
Advanced Public Transportation System (APTS)
Emergency Medical System (EMS)
By Application
Traffic Management
Road Safety and Security
Freight Management
Public Transport
Environment Protection
Automotive Telematics
Parking Management
Road Tolling Systems
Request for Segment Customization as per your Business Requirement: Segment Customization Request
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of the Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Product Matrix which gives a detailed comparison of product portfolio of each company
Geographic Analysis
Additional countries in any of the regions
Company Information
Detailed analysis and profiling of additional market players (Up to five)
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