MEASURING CONGESTION WORLDWIDE

TomTom's Safety Related Traffic Information (SRTI) API is a webservice that delivers anonymized non-personal raw data on hazardous situations directly collected by TomTom's own applications. The content of the API includes anonymized, non-personal, crowd-sourced data from drivers using TomTom's AmiGO application that reports 'hazards' and 'broken down car' incidents on the road. In accordance with EU Regulation 886/2013, this data is accessible to other users and can be integrated in other applications to improve road safety conditions. The access and use of this data are laid out in our terms and conditions. The service delivers safety messages for the area of the European Union in the form of a RESTful web service. The content contains information based on sensor or end-user feedback.

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows: Green (fast): 85 - 100% of free flow speeds Yellow (moderate): 65 - 85% Orange (slow); 45 - 65% Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

According to a recent report released by TomTom, drivers during the rush hour commute can expect congestion levels to significantly increase their commute time. On average, drivers will spend double the time in the car for most large metropolitan areas across the world during the evening commute alone. The average commuter spent an extra 100 hours a year traveling during the evening rush hour.In Los Angeles (Ranked 1st in the United States (U.S.) and 10th Worldwide), a 30 minute commute in the evening will take 54 minutes due to congestion, an extra 92 hours annually. Commuters in the San Francisco Bay Region are only slightly better off than their counter parts in Los Angeles. The measured congestion in San Francisco (Ranked 2nd in the U.S. and 26th Worldwide) is at 34%, while San Jose (Ranked 6th in the U.S. and 51st Worldwide) is at 30%.TomTom roadway congestion is measured as an increase in overall travel times when compared to the posted speed limits on roadways. For example, a Congestion Level of 12% corresponds to 12% longer travel times. The latest results and press release can be viewed here: https://www.tomtom.com/traffic-index/

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🇩🇪 독일 German We developed TomTom Intermediate Traffic to deliver detailed, real-time traffic content to business customers who integrate it into their own applications. Target customers for TomTom Intermediate Traffic include automotive OEMs, web and application developers, and governments. We deliver bulk traffic flow information that provides a comprehensive view of the entire road network. TomTom delivered our first live traffic product in 2007 and our experience has taught us how to continue delivering the best traffic products in the market. Our real-time traffic products are created by merging multiple data sources, including anonymized measurement data from over 650 million GPS-enabled devices. Using highly granular data, gathered on nearly every stretch of road, we can calculate travel times and speeds for virtually any day or time. We focus on our travel information so our customers can focus on their own business objectives.

The real-time traffic data market is experiencing robust growth, driven by the increasing need for efficient transportation management and urban planning. This market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. The proliferation of connected vehicles and the rise of smart cities are generating massive volumes of traffic data, creating a high demand for real-time insights. Government agencies are increasingly leveraging this data for optimizing traffic flow, improving infrastructure, and enhancing public safety. Furthermore, the logistics and automotive sectors are benefiting from improved route planning, fleet management, and predictive maintenance capabilities enabled by real-time traffic data. The market's segmentation, encompassing various data types (traffic data, mobility data, car traffic data) and applications (government, logistics, infrastructure construction, automobile), reflects its diverse utility across multiple industries. The continued expansion of this market is expected to be driven by advancements in data analytics, the adoption of 5G technology enabling faster data transmission, and the growing integration of IoT devices in vehicles and infrastructure. However, challenges remain, including data privacy concerns, the high cost of data acquisition and processing, and the need for robust data security measures to maintain the integrity and reliability of the information. Competition among established players like TomTom, HERE, and INRIX, and the emergence of innovative startups, is likely to further shape market dynamics and accelerate innovation in data processing and analytical tools within the foreseeable future. Specific regional growth will vary, with North America and Europe currently dominating the market share, while Asia-Pacific is anticipated to experience the fastest growth due to rapid urbanization and technological advancements in the region.

The dynamic traffic service market is experiencing robust growth, driven by increasing urbanization, escalating traffic congestion in major cities globally, and the rising adoption of smart city initiatives. The market's expansion is fueled by the need for efficient traffic management systems that minimize delays, enhance road safety, and improve overall transportation infrastructure. Technological advancements, such as the integration of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), are further propelling market growth. These technologies enable real-time traffic monitoring, predictive analytics for congestion forecasting, and optimized traffic signal control, resulting in improved traffic flow and reduced commute times. Furthermore, government initiatives aimed at improving transportation infrastructure and promoting smart city development are creating lucrative opportunities for dynamic traffic service providers. This includes investments in advanced sensor technologies, intelligent transportation systems, and data analytics platforms. The market is segmented by service type (e.g., adaptive traffic control, incident management, traveler information systems), technology (e.g., cloud-based solutions, on-premise solutions), and deployment mode (e.g., public, private). Competition is intensifying among established players like Navinfo, SWARCO, PTV Group, and emerging tech companies specializing in AI and IoT solutions. The forecast period (2025-2033) anticipates continued market expansion, with a projected compound annual growth rate (CAGR) that reflects the ongoing technological advancements and increasing demand for intelligent transportation solutions. However, market growth may be tempered by factors such as high initial investment costs for infrastructure development and the need for robust cybersecurity measures to protect sensitive traffic data. Furthermore, the effective integration of different data sources and technologies remains a challenge. Despite these restraints, the long-term outlook for the dynamic traffic service market remains positive, with significant opportunities for both established and new market entrants. The market's success will depend on the ability of providers to deliver reliable, scalable, and cost-effective solutions that address the evolving needs of cities and transportation authorities.

Hemos desarrollado TomTom Intermediate Traffic para ofrecer contenido detallado del tráfico en tiempo real a usuarios como fabricantes de vehículos, desarrolladores y autoridades locales. Ponemos a su disposición información acerca del flujo de circulación, que proporciona una visión integral de la red de carreteras.TomTom Intermediate Traffic ofrece información sobre la congestión del tráfico observada y sobre los incidentes en las carreteras. Las incidencias de tráfico muestran desde carreteras cerradas, cortes de carriles, aréas afectadas por obras y accidentes. TomTom Intermediate Traffic también contiene información acerca de la velocidad de circulación actual observada para los países donde están disponibles los servicios de tráfico en tiempo real.

The real-time traffic data market, currently valued at $36.9 billion in 2025, is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 12.5% from 2025 to 2033. This significant expansion is fueled by several key factors. The increasing adoption of connected vehicles and the rise of smart city initiatives are driving demand for accurate and timely traffic information. Furthermore, the logistics and transportation sectors heavily rely on real-time data for efficient route optimization, delivery scheduling, and fleet management, contributing substantially to market growth. Government agencies are also significant consumers, leveraging this data for urban planning, traffic management, and emergency response systems. The market is segmented by application (Government, Logistics, Infrastructure Construction, Automobile, and Other) and data type (Traffic Data, Mobility Data, Car Traffic Data), with the Government and Logistics segments exhibiting particularly strong growth potential due to their increasing reliance on data-driven decision-making. Technological advancements such as improved sensor technologies and the development of sophisticated analytical tools are further enhancing the capabilities and accuracy of real-time traffic data solutions. Competitive dynamics within the real-time traffic data market are characterized by a mix of established players and emerging technology companies. Key players like TomTom, HERE Technologies, and INRIX are leveraging their existing mapping and navigation expertise to provide comprehensive real-time traffic data solutions. However, newer companies are entering the market with innovative data aggregation and analysis techniques, leading to increased competition and potentially lower prices. The geographic distribution of market share is expected to be dominated by North America and Europe initially, given the higher adoption rates of smart city technologies and connected vehicle infrastructure in these regions. However, rapid infrastructure development and increasing urbanization in Asia-Pacific are projected to drive substantial market growth in this region over the forecast period. The market's continued growth hinges on continued investment in smart city infrastructure, the expanding adoption of connected car technology, and the continuous development of more sophisticated data analytics.

The Real-Time Traffic Management Software market is experiencing robust growth, driven by increasing urbanization, escalating traffic congestion, and the rising adoption of smart city initiatives. The market size in 2025 is estimated at $2.5 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant expansion is fueled by several key factors. Governments and municipalities worldwide are investing heavily in intelligent transportation systems (ITS) to optimize traffic flow, reduce commute times, and enhance overall road safety. The integration of advanced technologies such as AI, machine learning, and IoT within these systems is further accelerating market growth. Furthermore, the growing demand for real-time data analytics and predictive modeling capabilities for effective traffic management is boosting the adoption of these sophisticated software solutions. This rapid growth is further propelled by the increasing need for efficient public transportation management and the emergence of connected vehicles. The market segmentation includes solutions catering to various applications such as traffic signal control, incident management, and parking optimization. Key players like TomTom, Waze, and PTV Planung Transport Verkehr GmbH are leading the innovation, constantly developing advanced features to cater to evolving needs. While challenges like high implementation costs and data security concerns remain, the overall market outlook remains highly positive, with projections indicating continued strong growth throughout the forecast period. The increasing focus on sustainable transportation and the integration of Real-Time Traffic Management Software into broader smart city ecosystems are expected to significantly contribute to this growth trajectory.

Vi utviklet TomTom Intermediate Traffic for å levere detaljert trafikkinnhold i sanntid til bedriftskunder som integrerer det i sine egne applikasjoner. Målkunder for TomTom Intermediate Traffic inkluderer bilprodusenter, nett- og applikasjonsutviklere og myndigheter. Vi leverer informasjon om massetrafikkflyt som gir en helhetlig oversikt over hele veinettet. TomTom leverte vårt første live traffic-produkt i 2007, og vår erfaring har lært oss hvordan vi kan fortsette å levere de beste trafikkproduktene på markedet. Våre sanntidstrafikkprodukter opprettes ved å slå sammen flere datakilder, inkludert anonymiserte måledata fra over 650 millioner GPS-aktiverte enheter. Ved hjelp av svært detaljerte data, samlet på nesten alle veistrekninger, kan vi beregne reisetider og hastigheter for praktisk talt hvilken som helst dag eller tid. Vi fokuserer på reiseinformasjonen vår slik at kundene våre kan fokusere på sine egne forretningsmål.

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The Real-Time Traffic Management System (RTTMS) market is experiencing robust growth, driven by increasing urbanization, escalating traffic congestion, and the rising adoption of smart city initiatives. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This substantial growth is fueled by several key factors. Governments worldwide are increasingly investing in advanced transportation infrastructure to enhance traffic flow and reduce commute times. The integration of technologies like Artificial Intelligence (AI), Machine Learning (ML), and Internet of Things (IoT) devices within RTTMS is further accelerating market expansion, enabling real-time data analysis and predictive modeling for efficient traffic management. Furthermore, the rising demand for improved road safety and the need for optimized public transportation systems are significantly contributing to market expansion. The market's growth trajectory is also influenced by several trends, including the increasing adoption of cloud-based solutions for data storage and processing, the development of sophisticated traffic simulation models, and the integration of RTTMS with other intelligent transportation systems (ITS). However, the high initial investment costs associated with implementing RTTMS and the complexity of integrating various systems can act as potential restraints. Nevertheless, the long-term benefits of improved traffic flow, reduced congestion, and enhanced road safety outweigh these challenges, ensuring sustained market growth. Key players like Kapsch TrafficCom, SWARCO, Siemens, and TomTom are actively contributing to market expansion through continuous innovation and strategic partnerships. The geographical distribution of the market is expected to be diverse, with North America and Europe currently holding significant shares, but with developing economies in Asia-Pacific showing substantial growth potential.

This is a dynamic traffic map service with capabilities for visualizing traffic speeds relative to free-flow speeds as well as traffic incidents which can be visualized and identified. The traffic data is updated every five minutes. Traffic speeds are displayed as a percentage of free-flow speeds, which is frequently the speed limit or how fast cars tend to travel when unencumbered by other vehicles. The streets are color coded as follows:Green (fast): 85 - 100% of free flow speedsYellow (moderate): 65 - 85%Orange (slow); 45 - 65%Red (stop and go): 0 - 45%Esri's historical, live, and predictive traffic feeds come directly from TomTom (www.tomtom.com). Historical traffic is based on the average of observed speeds over the past year. The live and predictive traffic data is updated every five minutes through traffic feeds. The color coded traffic map layer can be used to represent relative traffic speeds; this is a common type of a map for online services and is used to provide context for routing, navigation and field operations. The traffic map layer contains two sublayers: Traffic and Live Traffic. The Traffic sublayer (shown by default) leverages historical, live and predictive traffic data; while the Live Traffic sublayer is calculated from just the live and predictive traffic data only. A color coded traffic map image can be requested for the current time and any time in the future. A map image for a future request might be used for planning purposes. The map layer also includes dynamic traffic incidents showing the location of accidents, construction, closures and other issues that could potentially impact the flow of traffic. Traffic incidents are commonly used to provide context for routing, navigation and field operations. Incidents are not features; they cannot be exported and stored for later use or additional analysis. The service works globally and can be used to visualize traffic speeds and incidents in many countries. Check the service coverage web map to determine availability in your area of interest. In the coverage map, the countries color coded in dark green support visualizing live traffic. The support for traffic incidents can be determined by identifying a country. For detailed information on this service, including a data coverage map, visit the directions and routing documentation and ArcGIS Help.

The Intelligent Traffic Management System (ITMS) market is experiencing robust growth, projected to reach a market size of $10.48 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 10.72% from 2025 to 2033. This expansion is driven by several key factors. Increasing urbanization and traffic congestion in major cities globally necessitate efficient traffic management solutions. Government initiatives promoting smart city development and investments in advanced transportation infrastructure are significantly fueling market adoption. Furthermore, the rising demand for improved road safety, reduced fuel consumption, and enhanced air quality is driving the integration of ITMS across various regions. Technological advancements such as the development of sophisticated surveillance cameras, advanced analytics platforms, and AI-powered traffic control systems are also contributing to market growth. The key segments driving this growth are Traffic Signal Control Systems, which optimize traffic flow through intelligent signal timing, and Traffic Monitoring Systems that provide real-time visibility into traffic conditions. The incorporation of intelligent driver information systems, offering real-time updates to drivers, further enhances the efficiency and safety of transportation networks. The ITMS market is segmented by solution (Traffic Signal Control System, Traffic Enforcement Camera System, Traffic Monitoring System, Intelligent Driver Information System) and by component (Surveillance Cameras, Video Walls, Traffic Controllers and Signals, Others). While North America and Europe currently hold significant market shares, the Asia-Pacific region is anticipated to demonstrate the fastest growth in the coming years due to rapid urbanization and significant infrastructure development projects. Major players like Transcore Inc, TomTom International BV, and Miovision Technologies Incorporated are leading the market, driving innovation and competition. However, challenges remain, including the high initial investment costs associated with ITMS implementation and the need for robust cybersecurity measures to protect sensitive traffic data. Nevertheless, the overall market outlook remains positive, driven by the compelling need for efficient and sustainable urban transportation solutions. Recent developments include: June 2024: TomTom (TOM2), a location technology company, partnered with Miovision, specializing in traffic management technologies. This partnership aims to enhance traffic signal analytics and in-vehicle solutions, ultimately reducing congestion and emissions while bolstering public safety. Miovision's innovations include the Audi Traffic Light Information system, a pioneering technology that guides drivers to bypass red lights at optimal speeds. By integrating TomTom's traffic data, Miovision's solutions will benefit from enriched real-time and historical traffic flow insights at intersections.March 2024: Thales partnered with Neural Labs, a provider of video analysis solutions for Smart Cities and AI-driven Intelligent Transportation Systems (ITS). This partnership aims to deliver efficient, secure, and significant solutions for vehicle access control and logistical planning. Leveraging Thales's Sentinel platform, which specializes in software licensing, entitlement management, delivery, and protection, Neural Labs has streamlined license creation and issuance automation.August 2024: CV Sync, one of the monitored traffic technology upgrades, Q-Free's advanced traffic management system (ATMS) harmonises traffic across nearly a dozen communities in California's Coachella Valley. The CV Sync project comprehensively overhauls the region's outdated signal controllers and traffic management systems. This upgrade integrates the latest, off-the-shelf Intelligent Transportation Systems technologies, incorporates cybersecurity measures, and establishes a new regional traffic management centre complemented by several local traffic operations centres.. Key drivers for this market are: Government Initaives and Smart City Projects, Advancements in Technology Such as ML, AI, IoT. Potential restraints include: Government Initaives and Smart City Projects, Advancements in Technology Such as ML, AI, IoT. Notable trends are: Traffic Enforcement Cameras is Expected to Witness a Significant Growth.

The global real-time traffic data market, valued at USD 36,900 million in 2025, is projected to reach USD 102,400 million by 2033, exhibiting a CAGR of 12.5% during the forecast period. The increasing adoption of smart transportation systems, rising urbanization, and growing demand for fleet management solutions drive market growth. Additionally, the widespread use of smartphones and the integration of GPS technology into vehicles are contributing to the generation of vast amounts of real-time traffic data. These factors indicate a promising future for the market, with continued growth expected in the coming years. Various types of real-time traffic data are available in the market, including traffic data, mobility data, and car traffic data. The traffic data segment accounted for the largest market share in 2025 and is anticipated to maintain dominance throughout the forecast period. Increasing government initiatives to improve traffic management and reduce congestion are key drivers behind the growth of this segment. Moreover, the rising demand for navigation and location-based services among consumers is boosting the market for real-time traffic data. Prominent companies in the market include TomTom, Otonomo, Datarade, HERE, Live Traffic Data, Mapbox, Intellias, INRIX, Factori, Gravy Analytics, PREDIK, Pixta, Datalastic, Grepsr, and SafeGraph. These companies offer a range of solutions and services to cater to the diverse needs of various industries and applications.

The real-time traffic information providers industry in the UK has undergone a substantial transformation amid the technological revolution, solidifying its role as a vital service for modern consumers. The uptake in smartphone usage combined with dwindling mobile prices has made real-time traffic data easily accessible to many users. Despite the temporary setback brought on by the pandemic, with driving miles dropping significantly, the industry rebounded quickly as normalcy returned, highlighting its resilience and essential nature in day-to-day commuting and commercial logistics. Revenue is estimated to improve by 2.7% in 2024-25. Industry revenue is anticipated to hike at a compound annual rate of 2.4% over the five years through 2024-25, to £98.8 million. The industry's growth has been primarily driven by sophisticated technological methods and strategic partnerships. Traffic information is now sourced from millions of data points encompassing taxis, smartphones, registered vehicles and traditional road sensors. This growing data compilation and necessary computer infrastructure have permeated virtually every aspect of travel in the UK. Notable providers like HERE and INRIX have formed alliances with automotive giants and mobile companies, integrating their services into preinstalled vehicle GPS systems and popular phone mapping applications. These collaborations and the increasing volume of real-time traffic data have necessitated a higher investment in research and development, albeit at the cost of restricted profit growth amid heightened wage expenditures and continuous technological advancements. Industry revenue is projected to grow at a compound annual rate of 2.9% over the five years through 2029-30, to reach £113.8 million. Providers are expected to extend their geographical coverage and enhance the granularity of their offerings, providing deeper insights into road conditions in smaller towns and villages. With disposable incomes recovering after the cost-of-living crisis, consumers' interest in well-enabled cars is likely to climb, supporting revenue. Companies like HERE plan to diversify revenue streams via mobile advertising platforms, elevating monetisation through targeted ads. However, talent acquisition will remain a pressing challenge, spurred by a constricted talent pool and immigration barriers, necessitating innovative recruitment strategies in a competitive landscape.

The global real-time traffic information systems market is experiencing robust growth, driven by increasing urbanization, escalating traffic congestion in major cities, and the growing adoption of smart city initiatives. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching an estimated $45 billion by 2033. This significant expansion is fueled by several key factors, including the rising demand for efficient transportation management, advancements in sensor technologies (like LiDAR and radar), the proliferation of connected vehicles, and the increasing availability of high-speed internet connectivity. Furthermore, government initiatives aimed at improving transportation infrastructure and reducing traffic-related accidents are significantly contributing to market growth. The integration of real-time traffic data with other smart city applications, such as public transportation systems and emergency response services, further enhances the value proposition of these systems. The market is segmented by type (software, hardware, and services) and application (urban traffic, inter-urban traffic, info-mobility, public transport, freeway management, and others). The software segment currently holds a significant market share due to the increasing demand for advanced analytics and data visualization capabilities. Geographically, North America and Europe are leading the market, driven by early adoption of advanced technologies and well-established transportation infrastructure. However, the Asia-Pacific region is expected to witness the fastest growth over the forecast period, fueled by rapid urbanization and significant investments in smart city projects across countries like China and India. Despite the positive outlook, challenges such as high initial investment costs, data security concerns, and the need for robust data infrastructure in developing countries could potentially hinder market growth to some extent.

The global car integrated navigation market is experiencing robust growth, driven by increasing vehicle production, rising consumer demand for advanced driver-assistance systems (ADAS), and the integration of navigation systems into infotainment units. The market size in 2025 is estimated at $15 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key trends, including the increasing adoption of connected car technologies, the rising popularity of smartphone integration with in-car navigation systems, and the development of sophisticated mapping and real-time traffic data solutions. The automotive industry's ongoing transition towards electric vehicles (EVs) is also contributing to market expansion, with manufacturers incorporating advanced navigation systems as standard features in their new EV models. Market segmentation reveals a strong preference for integrated navigation in passenger vehicles compared to commercial vehicles, with the below 5-meter vehicle segment holding a significant market share. Leading players like Garmin, TomTom, and others are continuously innovating to enhance navigation accuracy, user experience, and integration with other vehicle systems. Geographic expansion is also contributing to overall growth, with Asia Pacific and North America expected to dominate the market due to high vehicle sales and technological advancements. However, factors like the high initial cost of implementation and potential security concerns related to connected navigation systems present challenges to market growth. The market's future trajectory is highly promising, with several factors poised to accelerate growth in the coming years. The increasing penetration of smartphones and the widespread availability of high-speed internet connectivity are bolstering the demand for advanced navigation features. Moreover, advancements in artificial intelligence (AI) and machine learning are enabling the development of more intelligent and context-aware navigation systems. The integration of augmented reality (AR) and virtual reality (VR) technologies into car navigation systems is likely to further enhance the user experience and drive market expansion. The emergence of autonomous driving technologies also necessitates highly accurate and reliable navigation systems, further bolstering the market's growth potential. Despite these growth drivers, competition among established players and the emergence of new entrants could influence market share dynamics.