Intelligent Transport Systems Market Size and Share

Intelligent Transport Systems Market (2025 - 2030)
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Intelligent Transport Systems Market Analysis by Mordor Intelligence

The Intelligent Transportation Systems market is worth USD 33.6 billion in 2025 and is forecast to climb to USD 51.5 billion by 2030, reflecting an 8.9% CAGR. Growth stems from the fusion of edge computing, artificial intelligence, and connected-vehicle protocols that let agencies monetize data streams once viewed as sunk infrastructure costs. Public‐sector funding tied to safety and climate goals, such as the USD 62 billion Bipartisan Infrastructure Law allocation for connected corridors, shortens purchase cycles and expands addressable budgets.[1]U.S. Department of Transportation, “Bipartisan Infrastructure Law Funding Notices,” transportation.gov Mandatory ADAS requirements under the EU General Safety Regulation II accelerate demand for infrastructure-vehicle integration.[2]European Commission, “General Safety Regulation II,” ec.europa.eu. At the same time, material cost inflation presses agencies to favor software-defined upgrades over concrete-heavy widening projects, pushing the Intelligent Transportation Systems market toward cloud, edge, and fog deployments. Platform convergence also attracts non-traditional entrants that see revenue in analytics and V2X services rather than physical assets.

Key Report Takeaways

  • By mode of transport, roadways led with 62% revenue share of the Intelligent Transportation Systems market in 2024, while maritime applications are projected to expand at a 13.2% CAGR through 2030.
  • By component, hardware accounted for 49% share of the Intelligent Transportation Systems market in 2024; software is the fastest‐growing component at a 14.1% CAGR to 2030.
  • By type, advanced traffic management systems held 38.4% of the Intelligent Transportation Systems market size in 2024, whereas cooperative vehicle-infrastructure systems are advancing at a 15.4% CAGR.
  • By application, traffic management commanded 41.3% of the Intelligent Transportation Systems market size in 2024; Connected and Autonomous Vehicle support services show the strongest trajectory at an 18.5% CAGR.
  • By deployment mode, cloud captured 54.1% of the Intelligent Transportation Systems market share in 2024; edge/fog architectures are growing at a 17.9% CAGR.
  • By technology, IoT sensors and V2X communication formed 40% of the 2024 technology mix in the Intelligent Transportation Systems market , while 5G and C-V2X solutions are forecast to rise at a 16% CAGR.
  • North America contributed 28% share of the Intelligent Transportation Systems market in 2024; Asia-Pacific is the fastest-growing geography at a 10.3% CAGR.

Segment Analysis

By Mode of Transport: Maritime Automation Drives Cross-Modal Integration

The maritime segment captured just 6% of Intelligent Transportation Systems market revenue in 2024 but posts the fastest 13.2% CAGR as ports deploy automation, digital twins, and autonomous tugs. Roadways retained 62% share, equivalent to the largest slice of the Intelligent Transportation Systems market size, supported by national safety programmes. Investments in quay cranes fitted with AI vision and 5G links improve berth throughput and synchronise with trucking fleets, cutting container dwell time by 20%. EHang’s EH216 S autonomous air-taxi rollout illustrates how airways leapfrog ground bottlenecks, although the sub-sector remains nascent. Railways benefit from right-of-way control; U.S. freight operators reduced locomotive failures 40% via edge analytics that flag defects hours before breakdowns.

Looking ahead, cross-modal orchestration aligns sailing schedules with rail slots and truck dispatch, raising asset utilisation system-wide. The Intelligent Transportation Systems market increasingly rewards solutions that model maritime, rail, and road flows in a single data fabric. China’s port cloud platforms already integrate yard cranes, gate cameras, and customs databases, foreshadowing global adoption. Roadway projects now pilot C-V2X intersections that broadcast signal timing to heavy-duty trucks, reducing idle fuel. Collectively, these trends shift funding toward software layers that balance freight among modes, lessening peak-hour congestion and emissions.

Intelligent Transport Systems Market: Market Share by Mode of Transport
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By Component: Software Platforms Eclipse Hardware Revenue Models

Hardware still represented 49% revenue in 2024, yet software’s 14.1% CAGR signals a profound pivot. Agencies value flexible licensing that keeps pace with evolving safety standards, pushing perpetual-license controllers aside. Services, consulting, integration, and managed cybersecurity, expand fastest inside the software bundle, reflecting a need for continuous optimisation rather than periodic box swaps. The Intelligent Transportation Systems market share for hardware will erode as IoT nodes commoditise; roadside units become simple data collectors feeding AI pipelines.

Vendors now bundle analytics dashboards with firmware updates, converting one-time transactions into annuities. Edge containers allow over-the-air deployment of new algorithms that lengthen hardware life and lower total cost of ownership, a key selling point amid budget squeezes. As modular gateways replace monolithic cabinets, procurement shifts from capital outlay to operating-expenditure models akin to SaaS. The outcome is a virtuous cycle: recurring revenue funds R&D that in turn raises system performance, deepening customer dependence on the platform.

By Type: CVIS Emergence Signals Infrastructure-Vehicle Convergence

Advanced Traffic Management Systems (ATMS) held 38.4% of the Intelligent Transportation Systems market size in 2024, anchored by urban signal control. Cooperative Vehicle-Infrastructure Systems (CVIS), however, show a 15.4% CAGR, outpacing all other types. CVIS success stories now surface in state-level pilots where Audi passenger cars query signal phase and timing to cut intersection wait by 15%. ATIS, ATPS, and APTS see moderate growth but increasingly plug into CVIS backbones to harvest richer data.

As OEMs embed 5G modems on production lines, infrastructure that speaks the same language gains strategic value. The Intelligent Transportation Systems market rewards jurisdictions installing certificate management and misbehaviour detection early, laying the groundwork for freight platooning and autonomous shuttles. Once V2X density crosses a critical mass, academics predict a “white-phase” signal could shave 25% off delays by letting equipped vehicles govern intersections—a prospect that accelerates CVIS procurement.

Intelligent Transport Systems Market: Market Share by Type
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By Application: CAV Support Redefines Transportation Service Models

Traffic management retained 41.3% share in 2024, but Connected and Autonomous Vehicle (CAV) support rockets ahead with an 18.5% CAGR. The Intelligent Transportation Systems market size for CAV support will swell as fleets demand HD maps, over-the-air updates, and cooperative perception. Public transport and ticketing platforms graduate into multimodal concierge apps. Freight and fleet management seize CAV tools to right-size equipment and dodge peak congestion, shrinking fuel costs by double digits.

Environmental monitoring uses connected cars as rolling sensors, streaming CO₂ and particulate metrics street-by-street. Dynamic tolling now flexes by minute rather than hour, leveraging granular flow data from CAV probes. Smart parking shifts from vacancy detection to curb-side orchestration for autonomous drop-offs, raising effective capacity without new construction. Each sub-application feeds a data lake that agencies can monetise under open-data or revenue-share models, extending the Intelligent Transportation Systems market beyond congestion relief into new service categories.

By Deployment Mode: Edge Computing Transforms Latency Economics

Cloud deployments still account for 54.1% share, given their dominance in archival storage and heavy analytics. Yet edge/fog grows 17.9% annually as safety-critical use cases demand sub-10 ms reactions. Collision avoidance, vulnerable-road-user alerts, and adaptive platooning all require on-premise inference. The Intelligent Transportation Systems market now sees cities installing GPU-equipped roadside nodes that host containerised microservices, reducing back-haul needs by up to 90%.

Hybrid architectures emerge in which batch learning stays in the cloud while real-time scoring runs at the edge. Fog layers, regional data centres near cell towers, balance compute and latency, ideal for connected corridors spanning many miles. On-premise models persist for defence and privacy-sensitive rail networks. Overall, deployment choices hinge on latency budgets, security mandates, and cost per processed gigabyte, encouraging solution providers to offer flexible topologies rather than one-size-fits-all SaaS.

Intelligent Transport Systems Market: Market Share by Deployment Model Type
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By Technology: 5G Connectivity Enables AI-Infrastructure Fusion

IoT sensors and V2X links supplied 40% of the 2024 technology mix, anchoring data capture. 5G and C-V2X lead growth at 16.0% CAGR, lifting bandwidth and cutting round-trip delay to single-digit milliseconds, prerequisites for high-density AV traffic. AI and machine-learning analytics distil petabytes of raw feeds into actionable routing, while digital twins provide a sandbox to rehearse any change before deployment. The Intelligent Transportation Systems market increasingly bundles these layers: sensors supply context, 5G moves the bits, AI decides, and twins simulate outcomes.

Verizon's rollout of nationwide C-V2X message sets underscores telecom interest in mobility orchestration, while academic prototypes indicate that intelligent resource orchestration can reduce 5G edge energy use by 30% without degrading QoS. Interoperability with Wi-Fi 6‐e and satellite back-ups ensures resilience for emergency services. The stack's modularity encourages smaller firms to specialise—antenna arrays, digital-twin engines, or path-planning AI, expanding the supplier ecosystem while strengthening integration demand for incumbents.

Geography Analysis

North America contributed 28% of Intelligent Transportation Systems market revenue in 2024. Federal grants, such as the USD 62 billion connected-vehicle earmark for fiscal 2025, stabilise pipeline visibility and spark state-level copycat projects. Arizona’s USD 19.6 million V2X corridor demonstrates replicable ROI, while Texas DOT’s C-V2X intersection trials position the region as a leader in infrastructure-vehicle fusion. Municipal pilots also layer social goals: Albuquerque’s micro-transit service links food deserts to grocers, showing how data-rich systems tackle equity gaps. Clear liability frameworks and deep venture capital pools pull edge-AI startups into public-sector tenders, accelerating rollouts versus regions with opaque rules.

Asia Pacific is the fastest-growing region at a 10.3% CAGR through 2030. Megacity congestion and state backing for digital economy goals push aggressive deployment timetables. China’s EHang EH216 S autonomous flying-taxi fleet, cleared for passenger service, underscores regulatory agility in advanced air mobility. Beijing’s 1,200-intersection vehicle-road-cloud scheme trimmed travel time 15% and now anchors national standards. Singapore’s SGD 1 billion AI reserve and China’s 20 million NEV target by 2025 give suppliers predictable demand curves. Robotaxi partnerships scaling beyond pilot fleets, Pony AI’s 1,000-vehicle pact in Shenzhen, validate commercialisation pathways and pump data volumes that feed analytics engines.

Europe sustains steady expansion under harmonised safety and climate legislation. The General Safety Regulation II mandates ADAS equipment, compelling roadsides to exchange data with next-generation fleets. Copenhagen’s EUR 80 million smart-lighting retrofit achieved 55% energy savings, revealing how ITS budgets align with carbon targets. EU Digital Europe funds of EUR 7.5 billion through 2027 ensure capital availability for digital twin pilots and cross-border corridors. Siemens Mobility’s multibillion Euro Deutsche Bahn contract exemplifies turnkey platform purchasing over piecemeal upgrades, while stringent GDPR and AI-transparency rules moderate adoption speed yet raise public trust, fostering durable market adoption.

Intelligent Transport Systems Market CAGR (%), Growth Rate by Region
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Competitive Landscape

The Intelligent Transportation Systems market shows moderate consolidation as incumbents buy AI and connectivity firms to embed analytics in established product lines. Siemens Mobility secured a EUR 2.8 billion Deutsche Bahn overhaul plus a EUR 750 million mixed-use urban lab, channelling capital depth into long-tail service contracts. Traditional hardware vendors reposition as platform orchestrators, selling subscription dashboards atop commoditised controllers. Meanwhile, technology titans penetrate through partnerships: Uber links its ride-hail network to NVIDIA DGX Cloud for map and perception inference, blurring the boundary between transport operator and systems integrator.

Edge-AI specialists gain traction by guaranteeing sub-100 ms decision cycles that cloud-centric giants cannot meet. Flow Labs, NoTraffic, and similar startups prove their worth in performance-based procurements where KPIs include emergency response time cuts or throughput lifts, not hardware counts. Still, escalating cybersecurity compliance costs deter undercapitalised entrants, gently reinforcing incumbent advantage. White-space opportunities hinge on multimodal platforms that unify ports, rail yards, and arterials, an area still underserved because most offerings optimise only one mode. As data monetisation displaces toll revenue for future funding, firms with analytics IP and policy expertise will command premium valuations.

Intelligent Transport Systems Industry Leaders

  1. Siemens AG

  2. Thales Group

  3. Denso Corporation

  4. Kapsch TrafficCom AG

  5. TomTom N.V.

  6. *Disclaimer: Major Players sorted in no particular order
Siemens AG, Thales Group, IBM Corporation, Cubic Corporation, Denso Corporation
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Recent Industry Developments

  • June 2025: Pony AI and Xihu Group launched a fleet of 1,000 Gen 7 robotaxis in Shenzhen, marking China’s largest autonomous ride-hailing deployment.
  • May 2025: Uber committed USD 100 million to WeRide to extend robotaxi operations into 15 additional cities.
  • May 2025: Toyota finalised a USD 250 million tranche in Joby Aviation toward commercial eVTOL certification.
  • April 2025: SoftBank unveiled a USD 1 trillion plan to build AI-centric industrial parks in the United States.

Table of Contents for Intelligent Transport Systems Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Government smart-city and traffic-safety funding surge
    • 4.2.2 Escalating urban congestion demanding ATMS roll-outs
    • 4.2.3 Mandatory road-safety regulations (e-Call, ADAS integration)
    • 4.2.4 Edge-native AI digital twins enabling real-time flow optimisation
    • 4.2.5 Integration of EV-charging assets with ITS platforms
    • 4.2.6 Data-monetisation models from connected-vehicle analytics
  • 4.3 Market Restraints
    • 4.3.1 High capex and legacy infrastructure retrofit costs
    • 4.3.2 Interoperability and standards fragmentation across regions
    • 4.3.3 Rising cybersecurity-liability compliance costs
    • 4.3.4 AI-algorithm transparency rules slowing advanced deployments
  • 4.4 Industry Value Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Rivalry
  • 4.8 Investment Analysis

5. Market Size and Growth Forecasts (Value (USD))

  • 5.1 By Mode of Transport
    • 5.1.1 Roadways
    • 5.1.2 Railways
    • 5.1.3 Airways
    • 5.1.4 Maritime
  • 5.2 By Component
    • 5.2.1 Hardware
    • 5.2.2 Software
    • 5.2.3 Services
  • 5.3 By Type
    • 5.3.1 Advanced Traffic Management Systems (ATMS)
    • 5.3.2 Advanced Traveler Information Systems (ATIS)
    • 5.3.3 Advanced Transportation Pricing Systems (ATPS)
    • 5.3.4 Advanced Public Transportation Systems (APTS)
    • 5.3.5 Advanced Commercial Vehicle Operations (ACVOS)
    • 5.3.6 Cooperative Vehicle-Infrastructure Systems (CVIS)
  • 5.4 By Application
    • 5.4.1 Traffic Management
    • 5.4.2 Public Transport and Ticketing
    • 5.4.3 Road Safety and Security
    • 5.4.4 Freight and Fleet Management
    • 5.4.5 Environmental and Emission Monitoring
    • 5.4.6 Smart Parking and Guidance
    • 5.4.7 Tolling and Congestion Pricing
    • 5.4.8 Connected and Autonomous Vehicle (CAV) Support
    • 5.4.9 Other Applications
  • 5.5 By Deployment Mode
    • 5.5.1 On-Premise
    • 5.5.2 Cloud
    • 5.5.3 Edge / Fog
  • 5.6 By Technology
    • 5.6.1 IoT Sensors and V2X
    • 5.6.2 AI and Machine-Learning Analytics
    • 5.6.3 Digital Twin Platforms
    • 5.6.4 5G and C-V2X Connectivity
  • 5.7 By Geography
    • 5.7.1 North America
    • 5.7.1.1 United States
    • 5.7.1.2 Canada
    • 5.7.1.3 Mexico
    • 5.7.2 South America
    • 5.7.2.1 Brazil
    • 5.7.2.2 Argentina
    • 5.7.2.3 Rest of South America
    • 5.7.3 Europe
    • 5.7.3.1 Germany
    • 5.7.3.2 United Kingdom
    • 5.7.3.3 France
    • 5.7.3.4 Italy
    • 5.7.3.5 Spain
    • 5.7.3.6 Rest of Europe
    • 5.7.4 Asia-Pacific
    • 5.7.4.1 China
    • 5.7.4.2 Japan
    • 5.7.4.3 South Korea
    • 5.7.4.4 India
    • 5.7.4.5 Rest of Asia-Pacific
    • 5.7.5 Middle East
    • 5.7.5.1 Saudi Arabia
    • 5.7.5.2 United Arab Emirates
    • 5.7.5.3 Turkey
    • 5.7.5.4 Rest of Middle East
    • 5.7.6 Africa
    • 5.7.6.1 South Africa
    • 5.7.6.2 Nigeria
    • 5.7.6.3 Egypt
    • 5.7.6.4 Rest of Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Siemens AG
    • 6.4.2 Thales Group
    • 6.4.3 IBM Corporation
    • 6.4.4 Garmin Ltd.
    • 6.4.5 NoTraffic
    • 6.4.6 TomTom N.V.
    • 6.4.7 Cubic Corporation
    • 6.4.8 Mobileye
    • 6.4.9 Applied Information
    • 6.4.10 Denso Corporation
    • 6.4.11 Cisco Systems Inc.
    • 6.4.12 Kapsch TrafficCom AG
    • 6.4.13 Huawei Technologies Co. Ltd.
    • 6.4.14 Iteris Inc.
    • 6.4.15 Q-Free ASA
    • 6.4.16 Swarco AG
    • 6.4.17 TransCore LP
    • 6.4.18 Advantech Co. Ltd.
    • 6.4.19 Continental AG
    • 6.4.20 Siemens Mobility (Yunex Traffic)
    • 6.4.21 AtkinsRealis
    • 6.4.22 Econolite Group Inc.

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment
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Global Intelligent Transport Systems Market Report Scope

Intelligent transportation system (ITS) is the application of sensing, analysis, control, and communications technologies in transportation in order to improve safety, mobility, and efficiency. They can be applied to different modes of transport like roadways, railways, airways.

By Mode of Transport
Roadways
Railways
Airways
Maritime
By Component
Hardware
Software
Services
By Type
Advanced Traffic Management Systems (ATMS)
Advanced Traveler Information Systems (ATIS)
Advanced Transportation Pricing Systems (ATPS)
Advanced Public Transportation Systems (APTS)
Advanced Commercial Vehicle Operations (ACVOS)
Cooperative Vehicle-Infrastructure Systems (CVIS)
By Application
Traffic Management
Public Transport and Ticketing
Road Safety and Security
Freight and Fleet Management
Environmental and Emission Monitoring
Smart Parking and Guidance
Tolling and Congestion Pricing
Connected and Autonomous Vehicle (CAV) Support
Other Applications
By Deployment Mode
On-Premise
Cloud
Edge / Fog
By Technology
IoT Sensors and V2X
AI and Machine-Learning Analytics
Digital Twin Platforms
5G and C-V2X Connectivity
By Geography
North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific China
Japan
South Korea
India
Rest of Asia-Pacific
Middle East Saudi Arabia
United Arab Emirates
Turkey
Rest of Middle East
Africa South Africa
Nigeria
Egypt
Rest of Africa
By Mode of Transport Roadways
Railways
Airways
Maritime
By Component Hardware
Software
Services
By Type Advanced Traffic Management Systems (ATMS)
Advanced Traveler Information Systems (ATIS)
Advanced Transportation Pricing Systems (ATPS)
Advanced Public Transportation Systems (APTS)
Advanced Commercial Vehicle Operations (ACVOS)
Cooperative Vehicle-Infrastructure Systems (CVIS)
By Application Traffic Management
Public Transport and Ticketing
Road Safety and Security
Freight and Fleet Management
Environmental and Emission Monitoring
Smart Parking and Guidance
Tolling and Congestion Pricing
Connected and Autonomous Vehicle (CAV) Support
Other Applications
By Deployment Mode On-Premise
Cloud
Edge / Fog
By Technology IoT Sensors and V2X
AI and Machine-Learning Analytics
Digital Twin Platforms
5G and C-V2X Connectivity
By Geography North America United States
Canada
Mexico
South America Brazil
Argentina
Rest of South America
Europe Germany
United Kingdom
France
Italy
Spain
Rest of Europe
Asia-Pacific China
Japan
South Korea
India
Rest of Asia-Pacific
Middle East Saudi Arabia
United Arab Emirates
Turkey
Rest of Middle East
Africa South Africa
Nigeria
Egypt
Rest of Africa
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Key Questions Answered in the Report

What is the current size of the Intelligent Transportation Systems market?

The market is valued at USD 33.6 billion in 2025 and is projected to reach USD 51.5 billion by 2030.

Which transport mode leads the Intelligent Transportation Systems market?

Roadways dominate with 62% revenue share in 2024, although maritime applications are the fastest-growing with a 13.2% CAGR.

Why is edge computing important for intelligent transportation?

Safety-critical applications like collision avoidance need sub-10 ms reaction times that only edge or fog architectures can deliver, driving a 17.9% CAGR in this deployment mode.

How do mandatory safety regulations affect market growth?

Rules such as the EU General Safety Regulation II require vehicles to carry ADAS, which in turn necessitates compatible roadside infrastructure, adding 1.5 percentage points to forecast CAGR.

Which application segment is growing the fastest?

Connected and Autonomous Vehicle support services, expanding at an 18.5% CAGR thanks to rising robotaxi and autonomous freight pilots.

What limits faster adoption of Intelligent Transportation Systems?

High retrofit capex and escalating cybersecurity compliance costs weigh on budgets, trimming overall CAGR by nearly 2.7 percentage points combined.

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