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Traffic Demand Modeling With Artificial Intelligence (AI) Market Size Forecast: How Big Could The Market Get By 2030?
The market for traffic demand modeling with artificial intelligence (AI) has experienced rapid expansion in recent years. Its valuation is anticipated to climb from $2.16 billion in 2025 to $2.46 billion in 2026, at a compound annual growth rate (CAGR) of 14.2%. This historical growth can be attributed to several factors including escalating urbanization and traffic congestion, the adoption of intelligent traffic management systems, the broadening of public transportation infrastructure, increasing government financial commitment to smart city projects, and the growing deployment of traffic sensors and monitoring devices.
The market for traffic demand modeling utilizing artificial intelligence (AI) is anticipated to undergo substantial growth in the forthcoming years. It is projected to expand to $4.22 billion by 2030, achieving a compound annual growth rate (CAGR) of 14.4%. This expansion over the forecast period is propelled by the escalating deployment of AI-enabled traffic prediction software, greater reliance on connected vehicle data, the broadening of cloud-based traffic modeling platforms, increasing need for predictive urban traffic management, and an intensified focus on freight and logistics optimization. Prominent trends for the same period encompass the growing adoption of cloud-based traffic modeling solutions, a heightened demand for real-time traffic prediction and simulation, the deeper integration of data analytics and visualization tools, the expansion of edge computing for traffic data processing, and an increasing emphasis on AI model training and optimization services.
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Traffic Demand Modeling With Artificial Intelligence (AI) Market Growth Catalysts And Demand Drivers
The increasing prevalence of connected and autonomous vehicles is a significant factor in the expansion of the traffic demand modeling with the artificial intelligence (AI) market. These vehicles, which are motor vehicles equipped with sophisticated sensors, communication systems, and AI algorithms, enable navigation on roads with limited or no human involvement. The growing adoption of connected and autonomous vehicles stems from their ability to enhance road safety, as their advanced systems detect dangers, minimize human error, and avert collisions. Traffic demand modeling utilizing AI is crucial for these vehicles, as it simulates real-time and dynamic traffic patterns from mobility data to facilitate their secure deployment. As an illustration, in May 2025, the Autonomous Vehicle Industry Association (AVIA), a US-based industry association, reported that AV developers covered over 145 million autonomous miles on US public roads, an amount exceeding double the mileage recorded in April 2024. Consequently, the increasing embrace of connected and autonomous vehicles is propelling the growth of the traffic demand modeling with the artificial intelligence (AI) market.
Traffic Demand Modeling With Artificial Intelligence (AI) Market Segments: Where Is Growth Concentrated?
The traffic demand modeling with artificial intelligence (AI) market covered in this report is segmented –
1) By Component: Software, Hardware, Services
2) By Deployment Mode: On-Premises, Cloud
3) By Application: Urban Traffic Management, Public Transportation Planning, Road Network Optimization, Freight and Logistics, Other Applications
4) By End-User: Government Agencies, Transportation Authorities, Logistics Companies, Urban Planners, Other End Users
Subsegments:
1) By Software: Traffic Prediction Software, Simulation And Modeling Platforms, Data Analytics And Visualization Tools, Artificial Intelligence (AI) Or Machine Learning Algorithms, Traffic Management Platforms, Cloud-Based Traffic Modeling Solutions
2) By Hardware: Edge Computing Devices, Graphics Processing Unit (GPU) Or Artificial Intelligence (AI) Accelerators, Traffic Sensors (IoT Sensors), Cameras And Video Detection Systems, Data Storage Systems, Communication Devices
3) By Services: Consulting Services, System Integration And Deployment, Maintenance And Support, Data Management Services, Artificial Intelligence (AI) Model Training And Optimization, Managed Services
Traffic Demand Modeling With Artificial Intelligence (AI) Market Trends Shaping Long-Term Demand
Leading companies in the traffic demand modeling with artificial intelligence (AI) market are concentrating on developing innovative solutions, such as AI-driven trip generation and predictive traffic modeling platforms, to efficiently manage and reduce transportation infrastructure demands. These AI-driven trip generation and predictive traffic modeling platforms are software systems that utilize artificial intelligence and data analytics to estimate travel demand, generate trip patterns, and forecast future traffic flows for transportation planning. For example, in December 2025, PTV Group, a Germany-based transportation software company, launched PTV Model2Go TripGenAI, an AI-powered tool designed to automate the trip-generation step in macroscopic transport demand models. This solution transforms complex mobility datasets into actionable demand forecasts by applying artificial intelligence and automated data processing, significantly reducing the time, cost, and complexity typically associated with building traditional demand models. It empowers transportation planners to rapidly create scalable traffic demand models, generate origin-destination travel patterns, and support urban planning, infrastructure evaluation, and policy decision-making.
Traffic Demand Modeling With Artificial Intelligence (AI) Market Leading Players And Competitive Positioning
Major companies operating in the traffic demand modeling with artificial intelligence (AI) market are Google LLC, International Business Machines Corporation, AECOM, Jacobs Solutions Inc., WSP Global Inc., Siemens Mobility GmbH, Hexagon AB, Trimble Inc., SWARCO AG, Environmental Systems Research Institute Inc. (Esri), Bentley Systems Incorporated, HERE Global B.V., TomTom N.V., PTV Group, Tracsis plc, INRIX Inc., Transoft Solutions Inc., The AnyLogic Company LLC, Kapsch TrafficCom AG, UrbanLogiq Inc.
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Traffic Demand Modeling With Artificial Intelligence (AI) Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the traffic demand modeling with the artificial intelligence (AI) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the traffic demand modeling with artificial intelligence (AI) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.