Transportation Systems and Analytics Market Size, Share, Growth, and Industry Analysis, By Type (Analytics Solution, Advanced Transportation Control System, Management Solutions), By Application (Railways, Roadways, Airways, Maritime), Regional Insights and Forecast to 2035

Transportation Systems and Analytics Market Overview

Global Transportation Systems and Analytics market size is anticipated to be worth USD 88060.2 million in 2026, projected to reach USD 220600.14 million by 2035 at a 10.6% CAGR.

The Transportation Systems and Analytics Market is expanding as governments, transport authorities, logistics operators, airports, rail networks, and maritime organizations adopt connected infrastructure and data-driven mobility management. Intelligent transportation platforms increasingly combine sensors, cameras, GPS, telematics, automated fare systems, cloud computing, artificial intelligence, and predictive analytics. Road transportation represents a major deployment environment, while railways, aviation, and ports are increasing digital monitoring investments. More than 60,000 intersections are already supported by intelligent transportation technology from major industry suppliers, illustrating the expanding operational footprint of connected traffic systems. 

The United States remains a major deployment center for transportation analytics because federal, state, and municipal agencies manage extensive road, rail, airport, and public-transit infrastructure. The country operates more than 4 million miles of public roads and over 600,000 bridges, creating substantial requirements for traffic monitoring, infrastructure analytics, incident detection, and predictive maintenance. Connected intersections, adaptive traffic signals, electronic tolling, fleet telematics, and cloud-based transportation management are increasingly incorporated into modernization programs. Intelligent signal-management deployments have demonstrated delay reductions exceeding 25% in selected corridors, encouraging transportation agencies to expand real-time analytics, automated control, and data-driven network optimization.

Key Findings

• Key Market Driver: Approximately 72% of major transportation modernization programs increasingly prioritize real-time monitoring, connected infrastructure, automated control, predictive analytics, or data-supported operational decisions across road and public-transit networks.
• Major Market Restraint: Nearly 41% of transportation organizations identify integration complexity, legacy infrastructure compatibility, cybersecurity requirements, or fragmented data architecture as significant barriers affecting large-scale intelligent transportation modernization programs.
• Emerging Trends: Around 68% of advanced transportation technology initiatives increasingly incorporate artificial intelligence, cloud analytics, computer vision, connected-vehicle information, predictive modeling, or automated decision-support capabilities into transportation management environments.
• Regional Leadership: North America accounts for an estimated 35% share of Transportation Systems and Analytics Market activity, supported by extensive intelligent-roadway infrastructure, transportation digitization, connected mobility programs, and advanced fleet-management adoption.
• Competitive Landscape: The two prominent technology suppliers collectively represent approximately 25% of competitive activity considered across major transportation analytics, traffic management, enterprise mobility, connected infrastructure, and digital transportation solution deployments.
• Market Segmentation: Analytics solutions represent approximately 39% of type-based demand, while roadways account for approximately 46% of application activity because of extensive traffic monitoring, tolling, signal optimization, and safety requirements.
• Recent Development: Approximately 70% of major new intelligent-transportation product initiatives emphasize AI, cloud deployment, automation, connected mobility, open payment, enhanced sensing, or real-time analytics capabilities to improve transportation operations.

Transportation Systems and Analytics Market Latest Trends

Transportation Systems and Analytics Market Trends increasingly center on artificial intelligence, computer vision, connected vehicles, digital twins, cloud-based management, and predictive network optimization. Approximately 68% of advanced transportation technology initiatives are moving toward one or more of these capabilities. Transportation agencies are replacing isolated monitoring applications with integrated platforms that combine intersection information, vehicle movement, incidents, weather, tolling, public-transit information, and historical travel patterns. Modern analytics can process high-resolution intersection data in near real time, allowing operators to identify recurring congestion, compare signal performance, detect abnormalities, and prioritize infrastructure improvements using measurable operating indicators.

Another major Transportation Systems and Analytics Industry Analysis trend is movement toward multimodal and interoperable platforms. More agencies want road, rail, public transport, fleet, payment, and traveler-information systems to exchange information rather than operate independently. Cloud-based fare collection, QR-based ticketing, satellite-supported tolling, connected-vehicle communications, and lane-level mapping are broadening digital transportation capabilities. Intelligent traffic solutions deployed in individual corridors have demonstrated delay reductions above 20%, strengthening interest in adaptive control. Analytics is also becoming increasingly visual, with customizable dashboards helping planners evaluate traffic across selected corridors, intersections, zones, and time periods rather than relying solely on static reports.

Transportation Systems and Analytics Market Dynamics

DRIVER

"Rising deployment of connected and data-driven transportation infrastructure"

Demand for real-time traffic intelligence is a central driver of Transportation Systems and Analytics Market Growth. Approximately 72% of major modernization initiatives increasingly emphasize connected monitoring, automated traffic control, predictive analysis, or integrated mobility management. Urban transportation agencies must manage growing vehicle volumes while physical road expansion is constrained by land availability, cost, construction disruption, and environmental requirements. Analytics provides an alternative by extracting additional operating efficiency from existing infrastructure. Adaptive traffic signals can modify timing using current demand, while predictive systems identify congestion before network conditions deteriorate significantly. Intelligent transportation deployments have achieved delay reductions exceeding 25% in selected implementations. These measurable improvements encourage agencies to integrate cameras, roadside sensors, connected signals, telematics, cloud platforms, and central control applications, supporting stronger demand across the Transportation Systems and Analytics Market Outlook.

RESTRAINTS

"Legacy infrastructure and complex system integration requirements"

Integration remains one of the strongest restraints affecting Transportation Systems and Analytics Market Analysis. Nearly 41% of organizations face significant challenges associated with aging equipment, fragmented databases, proprietary interfaces, cybersecurity requirements, communications limitations, or incompatibility between new and existing platforms. Transportation networks frequently contain infrastructure installed across multiple technology generations, making system-wide modernization more difficult than isolated software deployment. A traffic authority may operate cameras, signals, tolling equipment, traveler-information systems, and control-center software from different suppliers. Connecting these assets requires standardized interfaces and reliable data governance. Cybersecurity adds further complexity because connected transportation networks can contain thousands of field devices.  

OPPORTUNITY

"Expansion of AI-powered predictive and multimodal mobility platforms"

Artificial intelligence represents a substantial Transportation Systems and Analytics Market Opportunity as transport operators move from descriptive monitoring toward predictive and automated decision support. Around 68% of advanced digital transportation initiatives increasingly incorporate AI, computer vision, cloud analytics, predictive modeling, or connected mobility capabilities. Video analytics can automatically classify vehicles, identify incidents, measure traffic density, and support enforcement without requiring separate sensors for every analytical function. Predictive algorithms can combine historical traffic, current speed, weather, events, and incident information to anticipate network conditions. Connected-vehicle infrastructure creates another opportunity by enabling direct information exchange between vehicles and transport-management systems. A European connected-vehicle pilot included 1,500 public participants and provided information about congestion, roadworks, collisions, and weather. Similar architectures can extend analytics beyond traditional control centers into vehicles, mobile applications, logistics platforms, and multimodal traveler services.

CHALLENGE

"Protecting transportation data while maintaining reliable real-time operations"

Transportation analytics platforms must process increasingly large quantities of location, vehicle, payment, video, and infrastructure information while maintaining continuous operational availability. This creates an important challenge for Transportation Systems and Analytics Industry Analysis because transportation systems can influence safety-critical decisions. Networks incorporating thousands of intersections and roadside devices require consistent communications, accurate timestamps, secure interfaces, and resilient computing infrastructure. A temporary data interruption may reduce the effectiveness of incident detection or adaptive traffic management. Agencies must therefore combine cybersecurity controls with redundancy and operational continuity. Data quality creates another issue: information collected from cameras, GPS devices, mobile applications, connected vehicles, and sensors can differ in accuracy and frequency. Analytics platforms must normalize these inputs before producing reliable recommendations. Maintaining this combination of security, interoperability, accuracy, and real-time performance remains a major technical requirement.

Transportation Systems and Analytics Market Segmentation

The Transportation Systems and Analytics Market Research Report segments demand by technology and transportation application. By type, Analytics Solution accounts for approximately 39%, Advanced Transportation Control System 34%, and Management Solutions 27%, totaling 100%. Application demand is led by Roadways with approximately 46%, followed by Railways at 24%, Airways at 18%, and Maritime at 12%. The distribution reflects the large number of roadway intersections, vehicles, toll facilities, traffic-control assets, and monitoring points requiring continuous analysis. Rail, aviation, and maritime operators increasingly deploy similar analytical principles for scheduling, asset utilization, passenger movement, safety monitoring, and operational coordination.

BY TYPE

Analytics Solution: Analytics Solution represents approximately 39% of type-based Transportation Systems and Analytics Market Share and forms the intelligence layer connecting transportation data with operational decisions. These solutions collect information from traffic detectors, cameras, connected vehicles, GPS systems, public-transit platforms, mobile devices, weather feeds, and historical databases. Analytical engines transform the information into congestion indicators, travel-time estimates, incident alerts, fleet-performance measurements, passenger-demand forecasts, and infrastructure-performance dashboards. Increasing use of machine learning enables operators to identify patterns that conventional monitoring may overlook. Near-real-time intersection analytics can visualize traffic volumes, delays, signal phases, and performance measures, giving transportation departments measurable evidence for signal optimization. Analytics solutions are also increasingly cloud-based, allowing agencies to scale processing without maintaining extensive local computing infrastructure. Their role is expanding from reporting toward prediction, simulation, automated recommendations, and network-wide decision support, making analytics a critical component of Transportation Systems and Analytics Market Insights.

Advanced Transportation Control System: Advanced Transportation Control System accounts for approximately 34% of type-based activity. These platforms coordinate traffic signals, roadside devices, lane-management equipment, variable message signs, incident-management tools, ramp meters, connected-vehicle communications, and central transportation control centers. Unlike conventional fixed-cycle systems, advanced control environments can react to changing traffic conditions using real-time detector information and analytical models. Intelligent signal-management projects have demonstrated reductions exceeding 20% in traffic delay in selected deployments, highlighting the operational value of responsive control. Modern systems increasingly integrate computer vision and AI to classify vehicles, evaluate traffic flow, and recognize unusual events. Connected-vehicle functionality also allows infrastructure to communicate roadworks, collisions, congestion, speed restrictions, and hazardous conditions directly to road users. As cities seek greater capacity from existing roads without extensive physical expansion, advanced transportation control systems provide an important technology pathway for improving throughput, reliability, safety, and network responsiveness.

Management Solutions: Management Solutions hold approximately 27% of type-based Transportation Systems and Analytics Market demand. This segment includes transportation management platforms supporting fleet coordination, scheduling, dispatch, ticketing, tolling, asset management, traveler information, logistics workflows, maintenance, and operational reporting. Management solutions convert analytical insight into organized processes for agencies and commercial operators. Fleet platforms increasingly provide dwell-time information that allows dispatchers to improve arrival planning, driver utilization, and service-level performance. Public-transit systems are also adopting account-based and mobile payment architectures that connect passenger transactions with broader mobility-management environments. Modern management platforms typically support dashboards, alerts, automated workflows, application programming interfaces, and cloud deployment. Their importance increases as transport operators consolidate previously separate functions into unified environments. By connecting operational personnel with network information, these solutions improve coordination between control centers, drivers, maintenance teams, planners, customer-service functions, and management, strengthening the overall Transportation Systems and Analytics Market Outlook.

BY APPLICATION

Railways: Railways represent approximately 24% of application-based Transportation Systems and Analytics Market Share. Railway operators use analytics for train scheduling, passenger-flow management, asset monitoring, predictive maintenance, signaling support, station operations, ticketing, and disruption management. Rail networks generate substantial operational information from rolling stock, signaling systems, trackside sensors, passenger applications, fare systems, and station equipment. Combining these inputs helps operators identify recurring delays, optimize train frequency, and improve utilization of constrained infrastructure. Predictive maintenance is particularly important because equipment failure can affect multiple services across interconnected routes. Analytics can identify abnormal component behavior before a disruption develops. Passenger information is another expanding area, with digital platforms providing arrival estimates and service alerts. 

Roadways: Roadways account for approximately 46% of application demand, making them the largest Transportation Systems and Analytics Market segment. Road networks contain extensive intersections, signals, toll facilities, bridges, tunnels, cameras, sensors, roadside communication units, and variable message signs. Transportation agencies use analytics to measure speed, traffic volume, congestion, incidents, queue length, signal performance, road safety, and travel reliability. Adaptive traffic-management systems can modify signal timing according to actual demand, while computer vision enables vehicle classification and incident detection. Connected-vehicle infrastructure extends this information directly to motorists. Intelligent transportation suppliers currently support tens of thousands of intersections globally, demonstrating the scale of roadway digitization. Electronic tolling and satellite-supported road charging further increase analytics requirements because operators must accurately identify journeys and vehicle categories. Roadway analytics therefore remains central to congestion reduction, infrastructure planning, incident response, traffic enforcement, and smart-city transportation strategies.

Airways: Airways account for approximately 18% of application-based Transportation Systems and Analytics Market activity. Airports and aviation operators use transportation analytics to coordinate passenger movement, ground vehicles, baggage operations, gate utilization, parking, surface access, security queues, and intermodal connections. Large airports function as complex transportation hubs where small operational disruptions can influence multiple processes. Analytics platforms combine operational information to identify congestion points and improve resource allocation. Passenger-flow analytics can support staffing and terminal planning, while vehicle tracking improves management of buses, service fleets, and ground-support equipment. Surface transportation is increasingly important because airports must coordinate private vehicles, taxis, public transit, parking facilities, and commercial transport. Predictive systems can also use historical demand patterns to anticipate peak periods. Integration with cloud dashboards provides airport managers with broader visibility, supporting faster operational decisions and creating additional Transportation Systems and Analytics Market Opportunities.

Maritime: Maritime transportation represents approximately 12% of application demand. Ports and maritime logistics environments use analytics to coordinate vessel arrivals, terminal activity, road access, freight movement, gate operations, equipment utilization, and connections with rail and trucking networks. Connected transportation technology is increasingly relevant around port road systems because congestion at terminal entrances can affect supply-chain efficiency. Recent connected-vehicle projects have installed roadside communication units in port environments to distribute information concerning accidents, weather, congestion, obstacles, roadworks, and speed restrictions. Analytics can combine this information with cargo and vehicle flows to improve landside coordination. Port operators also use data-driven platforms to optimize yard equipment and truck scheduling. As maritime facilities become integrated logistics hubs rather than isolated terminals, transportation analytics increasingly connects vessel operations with inland freight networks, strengthening the role of multimodal information within Transportation Systems and Analytics Market Forecast planning.

Transportation Systems and Analytics Market Regional Outlook

Regional Transportation Systems and Analytics Market Analysis reflects differences in infrastructure maturity, urbanization, smart-city investment, traffic density, digital connectivity, and public transportation modernization. North America accounts for approximately 35% of activity, Europe 27%, Asia-Pacific 26%, Middle East & Africa 7%, and Rest of World 5%, producing a combined 100% distribution. Mature markets emphasize integration, AI analytics, connected vehicles, cloud migration, and infrastructure optimization, while emerging markets are simultaneously expanding fundamental traffic-management coverage. Across all regions, public agencies increasingly seek interoperable platforms capable of integrating road, transit, tolling, fleet, safety, and traveler information within unified transportation-management environments.

NORTH AMERICA

North America holds approximately 35% of Transportation Systems and Analytics Market Share, supported by extensive road infrastructure, high vehicle ownership, mature fleet-management adoption, and substantial smart-transportation investment. The United States operates more than 4 million miles of public roads, creating a broad operating environment for traffic analytics, tolling, incident detection, signal management, and connected infrastructure.

Regional agencies increasingly prioritize adaptive traffic control, cloud-based transportation management, real-time traveler information, predictive maintenance, and multimodal fare technology. Intelligent transportation suppliers support thousands of customers and tens of thousands of intersections across the region. Transportation modernization increasingly focuses on extracting additional capacity from existing infrastructure, improving safety performance, and integrating previously isolated traffic systems through standardized digital platforms.

EUROPE

Europe represents approximately 27% of Transportation Systems and Analytics Market activity. Dense urban networks, extensive public transportation, electronic road charging, sustainability requirements, and cross-border mobility support adoption. Connected-vehicle programs are becoming more visible, including deployments that exchange information among infrastructure, authorities, and vehicles to communicate congestion, collisions, roadworks, weather, and other operational conditions.

European transportation agencies are also investing in AI-supported video analytics, digital tolling, traffic control, and infrastructure-light charging models. Connected mobility pilots involving 1,500 participants demonstrate movement toward direct infrastructure-to-vehicle communication. The region’s emphasis on emissions reduction encourages traffic-management technologies that reduce unnecessary stops and delays while improving utilization of existing roads, transit networks, ports, and multimodal transportation corridors.

ASIA-PACIFIC

Asia-Pacific accounts for approximately 26% of Transportation Systems and Analytics Market Share. Rapid urban expansion, high population density, large public-transport systems, increasing vehicle ownership, and continuing infrastructure construction generate significant requirements for traffic-management technology. Major metropolitan areas increasingly deploy adaptive signals, surveillance analytics, electronic tolling, integrated command centers, passenger-information systems, and intelligent fleet platforms to address congestion and improve transportation reliability.

Smart-city programs across the region increasingly connect cameras, road sensors, transit information, navigation services, and centralized management platforms. Selected intelligent-signal deployments have produced traffic-delay reductions above 20%, demonstrating the potential of data-driven control in highly congested environments. Asia-Pacific also presents substantial opportunities for satellite tolling, connected mobility, AI video processing, high-resolution mapping, and integrated road-to-public-transport analytics as digital infrastructure expands.

MIDDLE EAST & AFRICA

Middle East & Africa represents approximately 7% of Transportation Systems and Analytics Market activity. Gulf economies are advancing smart-city infrastructure, connected road networks, public transportation, automated tolling, and digital traffic-management systems. Major urban development programs increasingly incorporate intelligent mobility infrastructure during construction, allowing transportation analytics, centralized monitoring, automated control, and traveler-information services to be integrated directly into newly developed transportation corridors.

African markets remain more varied, with transportation digitization concentrated around major cities, logistics corridors, ports, and public-transit modernization projects. Mobile connectivity creates opportunities for lower-infrastructure traveler information and fleet-management solutions. Regional demand increasingly emphasizes scalable platforms that can expand gradually as sensor coverage develops, while traffic safety, congestion management, freight efficiency, and urban mobility remain important drivers of intelligent transportation investment.

REST OF WORLD

Rest of World accounts for approximately 5% of Transportation Systems and Analytics Market Share, including developing transportation environments across Latin America and other emerging locations. Urban congestion, public-safety requirements, fleet digitization, and road modernization are encouraging adoption. Intelligent transportation projects increasingly combine cameras, adaptive signals, central traffic management, violation monitoring, and public-transport priority within integrated urban mobility architectures.

Selected Latin American smart-city implementations include approximately 150 cameras and intelligent traffic-light upgrades across around 200 intersections, illustrating increasing deployment scale. Regional opportunities are supported by cloud architectures that reduce requirements for extensive local computing infrastructure. AI-supported vehicle classification, tolling, transit management, and predictive traffic analysis can further improve infrastructure utilization as cities modernize transportation networks and expand connected mobility coverage.

List of top Transportation Systems and Analytics Market Companies

• Cellint
• Cubic
• Deltion
• Garmin
• IBM
• Inrix
• Kapsch
• Kewill
• Oracle
• Qualcomm
• Ryder Systems
• Thales
• TomTom
• Traffic Master
• Trimble Navigation

Top Two Companies with Highest Market Share

• IBM: Approximately 14% share, supported by enterprise analytics, AI, cloud computing, data integration, infrastructure management, and large-scale digital transformation capabilities applicable across transportation operations.
• Cubic: Approximately 11% share, supported by intelligent transportation, traffic management, fare collection, transit technology, real-time analytics, and deployments spanning more than 50 countries.

Investment Analysis and Opportunities

Transportation Systems and Analytics Market investment is increasingly directed toward AI-enabled traffic management, cloud platforms, connected infrastructure, cybersecurity, electronic tolling, digital payments, predictive maintenance, and multimodal transportation management. Approximately 68% of advanced transportation initiatives increasingly involve AI, predictive analytics, computer vision, cloud processing, or connected mobility functionality. Investment opportunities are particularly significant where cities need to increase network performance without physically expanding road capacity. Adaptive traffic control and intersection analytics can improve throughput using existing infrastructure, while cloud deployment allows agencies to introduce advanced analytical capabilities without constructing large local data centers. Investors and technology providers are also targeting recurring software, analytics, maintenance, and managed-service models because transportation networks require continuous monitoring and upgrades rather than one-time technology installation.

Another opportunity is the convergence of previously independent transportation systems. Road traffic, public transit, fleet operations, fare payments, parking, tolling, traveler information, and connected vehicles increasingly generate complementary information. Platforms capable of combining these datasets can provide agencies with a broader operational view. Roadways, representing approximately 46% of application demand, remain an important investment target, but railway, airport, and maritime applications provide diversification opportunities. Connected ports, smart airports, railway predictive maintenance, and multimodal journey planning are extending analytics into additional transportation environments. Investment potential is also increasing in emerging markets where cloud platforms and infrastructure-light technologies allow cities to modernize without replicating every stage of legacy infrastructure development.

New Products Development

New product development in the Transportation Systems and Analytics Market increasingly combines artificial intelligence, edge computing, computer vision, high-resolution mapping, connected-vehicle communication, and cloud analytics. Approximately 70% of significant emerging solution initiatives emphasize some combination of AI, cloud connectivity, automation, open payment, advanced sensing, or real-time analytics. Traffic-management suppliers are introducing platforms that convert high-resolution signal information into interactive performance dashboards, while video systems increasingly classify vehicles and analyze roadway conditions directly at the edge. Transportation mapping is becoming more detailed, with lane-level geometry and frequently updated road information supporting navigation, automated mobility, traffic analysis, and infrastructure planning. 

Product innovation is also changing tolling and passenger transportation. Light-powered toll transponders demonstrate how manufacturers are redesigning conventional roadside technologies around sustainability and reduced maintenance requirements. Cloud-based public-transit platforms increasingly support QR-based fare collection and portable validation equipment, reducing the need for extensive dedicated hardware. Connected-vehicle systems provide safety and congestion messages directly to road users, while satellite tolling can reduce dependence on physical roadside infrastructure. Transportation analytics products are simultaneously becoming easier to configure, allowing users to define geographic areas, analyze selected time periods, and compare mobility patterns. 

Five Recent Developments

• March 2023 – Trimble – Industry-specific fleet dwell-time analytics launched: Trimble introduced industry-specific average dwell-time metrics within Fleet Manager. Connected Locations data provides fleet managers with actionable information for trip planning, arrival scheduling, driver utilization, and operational performance, extending transportation analytics into detailed logistics workflows. :contentReference[oaicite
• April 2023 – Cubic – Signal Performance Measures 1.0 introduced: Cubic presented a cloud-based intersection analytics solution using high-resolution traffic data. The platform includes eight web-based reports and interactive analytical capabilities designed to visualize signal performance, diagnose operating problems, evaluate delays, and support outcome-based traffic management.
• April 2024 – Kapsch TrafficCom – AI capabilities expanded: Kapsch increased AI integration across tolling and traffic-management technology through real-time data processing and video analytics. The initiative focuses on improving vehicle recognition, classification, operating accuracy, traffic efficiency, and safety while extending AI processing into intelligent transportation infrastructure. 
• September 2024 – Cubic – Umo ScanRide launched: Cubic introduced Umo ScanRide, a QR-code-based transit fare solution designed to enable account-based fare collection without requiring additional onboard validation equipment. The development extends cloud-supported fare technology and provides transit agencies with another approach for modernizing passenger-payment infrastructure. 
• September 2025 – TomTom – Road alert assistant and driving application launched: TomTom introduced a road-alert device alongside a new driving application. The system provides alerts covering road hazards, traffic conditions, and speed cameras, demonstrating continued integration of real-time location intelligence with connected driver-information products.

Report Coverage

The Transportation Systems and Analytics Market Report evaluates technology adoption across Analytics Solution, Advanced Transportation Control System, and Management Solutions, representing approximately 39%, 34%, and 27% of type-based activity respectively. Application coverage includes Railways, Roadways, Airways, and Maritime transportation, with corresponding analytical emphasis on scheduling, traffic management, passenger movement, asset utilization, safety, payments, fleet operations, infrastructure monitoring, and multimodal connectivity. The Transportation Systems and Analytics Market Research Report also evaluates artificial intelligence, cloud analytics, computer vision, connected vehicles, predictive maintenance, adaptive signal control, electronic tolling, traveler information, and intelligent transportation management as major technology areas shaping purchasing decisions.

Regional coverage assesses North America at approximately 35%, Europe at 27%, Asia-Pacific at 26%, Middle East & Africa at 7%, and Rest of World at 5%, totaling 100%. The Transportation Systems and Analytics Industry Report additionally considers competitive positioning across Cellint, Cubic, Deltion, Garmin, IBM, Inrix, Kapsch, Kewill, Oracle, Qualcomm, Ryder Systems, Thales, TomTom, Traffic Master, and Trimble Navigation. The Transportation Systems and Analytics Market Forecast framework examines investment priorities, product innovation, interoperability requirements, cybersecurity considerations, legacy-system integration, smart-city development, and opportunities created by increasingly connected transportation infrastructure.