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인공지능(AI) 활용 교통 수요 모델링 시장 보고서(2026년)

Traffic Demand Modeling With Artificial Intelligence (AI) Global Market Report 2026

발행일: | 리서치사: 구분자 The Business Research Company | 페이지 정보: 영문 250 Pages | 배송안내 : 2-10일 (영업일 기준)

    
    
    




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한글목차
영문목차

인공지능(AI) 활용 교통 수요 모델링 시장 규모는 최근 급성장하고 있습니다. 이 시장은 2025년 21억 6,000만 달러로 평가되었고, 2026년에는 24억 6,000만 달러로 추정되며, CAGR 14.2%로 성장할 전망입니다. 지난 수년간의 성장 요인으로는 도시화와 교통 혼잡의 진행, 지능형 교통관리 시스템 도입, 대중교통 인프라 확충, 스마트시티 프로젝트에 대한 정부 투자 증가, 교통 센서 및 모니터링 장치의 이용 확대 등을 들 수 있습니다.

인공지능(AI) 활용 교통 수요 모델링 시장 규모는 향후 몇 년간 급성장이 전망되고 있습니다. 2030년까지 42억 2,000만 달러에 이를 것으로 예측되며, CAGR은 14.4%로 성장할 전망입니다. 예측 기간 동안 이러한 성장은 AI를 활용한 교통 예측 소프트웨어 도입 확대, 커넥티드카 데이터 활용 확대, 클라우드 기반 교통 모델링 플랫폼 확대, 예측형 도시 교통 관리에 대한 수요 증가, 화물 및 물류 최적화에 대한 관심 증가에 기인하는 것으로 분석됩니다. 예측 기간의 주요 동향으로는 클라우드 기반 교통 모델링 솔루션의 채택 확대, 실시간 교통 예측 및 시뮬레이션에 대한 수요 증가, 데이터 분석 및 시각화 도구의 통합 발전, 교통 데이터 처리를 위한 엣지 컴퓨팅의 확대, AI 모델 훈련 및 최적화 서비스에 대한 관심 증가 등을 꼽을 수 있습니다.

커넥티드카 및 자율주행차의 보급 확대는 가까운 미래에 인공지능(AI) 활용 교통 수요 모델링 시장의 성장을 견인하고 있습니다. 커넥티드카 및 자율주행차는 첨단 센서, 실시간 통신 시스템, AI 알고리즘을 탑재하여 인간의 개입을 최소화하거나 아예 개입하지 않고 도로를 주행하는 자동차를 말합니다. 첨단 센서와 AI 시스템이 위험을 감지하고 인적 오류를 최소화하며 사고를 미연에 방지하는 등 도로의 안전성을 높이기 위한 노력이 커넥티드카와 자율주행차의 보급을 촉진하고 있습니다. AI를 활용한 교통 수요 모델링은 모빌리티 데이터와 실시간 입력 정보를 활용해 역동적인 교통 패턴을 시뮬레이션하고, 안전하고 효율적인 도입을 보장함으로써 커넥티드카 및 자율주행차를 지원합니다. 예를 들어, 미국에 본사를 둔 산업 협회인 AVIA(Automated Vehicle Industry Association)에 따르면, 2025년 5월 현재 자율주행차 개발자들은 미국의 공공 도로에서 1억 4,500만 마일 이상의 자율주행 주행을 수행했으며, 이는 2024년 4월에 보고된 주행거리의 두 배 이상에 해당합니다. 따라서 커넥티드카 및 자율주행차의 보급 확대가 AI를 활용한 교통 수요 모델링 시장의 성장을 견인하고 있습니다.

스마트시티 구상의 확대는 향후 인공지능(AI) 활용 교통 수요 모델링 시장의 성장을 견인할 것으로 예측됩니다. 스마트시티 구상은 디지털 기술, 커넥티드 인프라, 고급 분석을 활용하여 도시 운영, 모빌리티 네트워크, 공공 서비스를 강화하는 정부 주도의 도시 개발 프로그램입니다. 스마트시티 구상의 성장은 급속한 도시화에 의해 촉진되고 있습니다. 도시 인구가 증가함에 따라 보다 효율적인 인프라, 최적화된 자원 관리, 개선된 공공 서비스가 필요하기 때문입니다. AI를 활용한 교통 수요 모델링은 예측 데이터 분석을 통해 당국이 교통 수요를 예측하고, 이동성 패턴을 분석하며, 도로망 이용을 최적화할 수 있게 함으로써 스마트시티 구상을 지원합니다. 예를 들어, 2024년 1월 미국 비영리 단체인 Institute of the Americas에 따르면, 2023년 스마트시티 구상에 대한 전 세계 지출은 1,900억 달러를 넘어섰다고 합니다. 따라서 스마트시티 구상의 확대가 AI 활용 교통 수요 모델링 시장의 성장을 견인하고 있습니다.

자주 묻는 질문

  • 인공지능(AI) 활용 교통 수요 모델링 시장 규모는 어떻게 변화하고 있나요?
  • AI를 활용한 교통 수요 모델링 시장의 성장 요인은 무엇인가요?
  • 커넥티드카와 자율주행차의 보급이 AI 활용 교통 수요 모델링 시장에 미치는 영향은 무엇인가요?
  • 스마트시티 구상이 AI 활용 교통 수요 모델링 시장에 미치는 영향은 무엇인가요?

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 공급망 분석

제4장 세계 시장 동향 및 전략

제5장 최종 이용 산업 시장 분석

제6장 시장 : 금리, 인플레이션, 지정학, 무역 전쟁 및 관세의 영향, 관세 전쟁과 무역 보호주의의 공급망에 대한 영향, 코로나 팬데믹이 시장에 미치는 영향을 포함한 거시경제 시나리오

제7장 세계 전략 분석 프레임워크, 현재 시장 규모, 시장 비교 및 성장률 분석

제8장 TAM(Total Addressable Market) 규모

제9장 시장 세분화

제10장 시장 및 업계 지표 : 국가별

제11장 지역별 및 국가별 분석

제12장 아시아태평양 시장

제13장 중국 시장

제14장 인도 시장

제15장 일본 시장

제16장 호주 시장

제17장 인도네시아 시장

제18장 한국 시장

제19장 대만 시장

제20장 동남아시아 시장

제21장 서유럽 시장

제22장 영국 시장

제23장 독일 시장

제24장 프랑스 시장

제25장 이탈리아 시장

제26장 스페인 시장

제27장 동유럽 시장

제28장 러시아 시장

제29장 북미 시장

제30장 미국 시장

제31장 캐나다 시장

제32장 남미 시장

제33장 브라질 시장

제34장 중동 시장

제35장 아프리카 시장

제36장 시장 규제 상황 및 투자환경

제37장 경쟁 구도 및 기업 개요

제38장 기타 주요 기업 및 혁신 기업

제39장 세계 시장 경쟁 벤치마킹 및 대시보드

제40장 시장에 등장 예정 스타트업

제41장 주요 인수합병(M&A)

제42장 시장 잠재력이 높은 국가, 부문 및 전략

제43장 부록

AJY 26.06.09

Traffic demand modeling with artificial intelligence (AI) involves the use of advanced computational systems and data analytics to predict and simulate traffic movement on road networks. It analyzes extensive datasets, including travel behavior, historical traffic patterns, and real-time information, to estimate how traffic conditions will evolve over time and across different regions. This supports improved transportation planning, optimized infrastructure utilization, and informed decision-making for traffic and mobility management.

The main components of traffic demand modeling with artificial intelligence (AI) consist of software, hardware, and services. Software refers to AI-driven digital platforms that analyze traffic patterns, forecast transportation demand, and optimize mobility planning for improved traffic and infrastructure management. Deployment is through on-premises and cloud. The various applications include urban traffic management, public transportation planning, road network optimization, freight and logistics, and others, and they are utilized by end users such as government agencies, transportation authorities, logistics companies, urban planners, and others.

Tariffs on imported hardware components such as GPUs, edge computing devices, and IoT sensors are impacting the traffic demand modeling market by increasing procurement costs for software-hardware integrated solutions. Regions such as North America, Europe, and Asia-Pacific that rely on imported components for AI-enabled traffic systems are most affected. Segments like urban traffic management and freight/logistics optimization face higher deployment costs. However, tariffs also encourage local manufacturing of hardware components, promote regional technology development, and accelerate innovation in cost-effective traffic modeling solutions, providing long-term growth opportunities.

The traffic demand modeling with artificial intelligence (AI) market research report is one of a series of new reports from The Business Research Company that provides traffic demand modeling with artificial intelligence (AI) market statistics, including traffic demand modeling with artificial intelligence (AI) industry global market size, regional shares, competitors with a traffic demand modeling with artificial intelligence (AI) market share, detailed traffic demand modeling with artificial intelligence (AI) market segments, market trends and opportunities, and any further data you may need to thrive in the traffic demand modeling with artificial intelligence (AI) industry. This traffic demand modeling with artificial intelligence (AI) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The traffic demand modeling with artificial intelligence (AI) market size has grown rapidly in recent years. It will grow from $2.16 billion in 2025 to $2.46 billion in 2026 at a compound annual growth rate (CAGR) of 14.2%. The growth in the historic period can be attributed to growing urbanization and traffic congestion, adoption of intelligent traffic management systems, expansion of public transportation infrastructure, increasing government investment in smart city projects, rising use of traffic sensors and monitoring devices.

The traffic demand modeling with artificial intelligence (AI) market size is expected to see rapid growth in the next few years. It will grow to $4.22 billion by 2030 at a compound annual growth rate (CAGR) of 14.4%. The growth in the forecast period can be attributed to increasing deployment of ai-enabled traffic prediction software, growing use of connected vehicle data, expansion of cloud-based traffic modeling platforms, rising demand for predictive urban traffic management, increasing focus on freight and logistics optimization. Major trends in the forecast period include increasing adoption of cloud-based traffic modeling solutions, rising demand for real-time traffic prediction and simulation, growing integration of data analytics and visualization tools, expansion of edge computing for traffic data processing, rising focus on ai model training and optimization services.

The rising adoption of connected and autonomous vehicles is driving the growth of the traffic demand modeling with artificial intelligence (AI) market in the foreseeable future. Connected and autonomous vehicles are motor vehicles equipped with advanced sensors, real-time communication systems, and AI algorithms to navigate roads with minimal or no human intervention. The adoption of connected and autonomous vehicles is propelled by the pursuit of enhanced road safety, as sophisticated sensors and AI systems aid in hazard detection, minimize human error, and prevent accidents. Traffic demand modeling with AI supports connected and autonomous vehicles by simulating dynamic traffic patterns using mobility data and real-time inputs to ensure safe and efficient deployment. For instance, in May 2025, according to the Autonomous Vehicle Industry Association (AVIA), a US-based industry body, autonomous vehicle developers drove over 145 million autonomous miles on U.S. public roads, more than double the miles reported in April 2024. Therefore, the rising adoption of connected and autonomous vehicles is driving the growth of the traffic demand modeling with AI market.

The expansion of smart city initiatives is expected to propel the growth of the traffic demand modeling with artificial intelligence (AI) market going forward. Smart city initiatives are government-led urban development programs that leverage digital technologies, connected infrastructure, and advanced analytics to enhance city operations, mobility networks, and public services. The growth of smart city initiatives is fueled by rapid urbanization, as increasing urban populations necessitate more efficient infrastructure, optimized resource management, and improved public services. Traffic demand modeling with AI supports smart city initiatives by enabling authorities to forecast traffic demand, analyze mobility patterns, and optimize road network utilization through predictive data analytics. For instance, in January 2024, according to the Institute of the Americas, a US-based non-profit organization, global expenditure on smart city initiatives in 2023 exceeded $190 billion. Therefore, the expansion of smart city initiatives is driving the growth of the traffic demand modeling with AI market.

Key companies operating in the traffic demand modeling with artificial intelligence (AI) market are focusing on developing innovative solutions, such as AI-driven trip generation and predictive traffic modeling platforms, to reduce and efficiently manage transportation infrastructure. AI-driven trip generation and predictive traffic modeling platforms are software systems that use artificial intelligence and data analytics to estimate travel demand, generate trip patterns, and predict 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. The solution transforms complex mobility datasets into actionable demand forecasts by applying artificial intelligence and automated data processing, significantly reducing the time, cost, and complexity associated with building traditional demand models. It enables transportation planners to rapidly create scalable traffic demand models, generate origin-destination travel patterns, and support urban planning, infrastructure evaluation, and policy decision-making.

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.

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.

The countries covered in the traffic demand modeling with artificial intelligence (AI) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The traffic demand modeling with artificial intelligence (AI) market consists of revenues earned by entities by providing services such as traffic data collection, AI-based traffic forecasting, mobility pattern analysis, traffic simulation and modeling, transportation planning support, infrastructure demand assessment, congestion analysis, scenario modeling and prediction, and predictive traffic insights. The market value includes the value of related goods sold by the service provider or included within the service offering. The traffic demand modeling with artificial intelligence (AI) market also includes sales of congestion forecasting platforms, dynamic traffic signal optimization systems, and mobility demand analytics dashboards. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Traffic Demand Modeling With Artificial Intelligence (AI) Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses traffic demand modeling with artificial intelligence (ai) market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for traffic demand modeling with artificial intelligence (ai) ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The traffic demand modeling with artificial intelligence (ai) market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered: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
  • Companies Mentioned: 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.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
  • Added Benefits
  • Bi-Annual Data Update
  • Customisation
  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Traffic Demand Modeling With Artificial Intelligence (AI) Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Traffic Demand Modeling With Artificial Intelligence (AI) Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.3 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Sustainability, Climate Tech & Circular Economy
  • 4.2. Major Trends
    • 4.2.1 Increasing Adoption of Cloud-Based Traffic Modeling Solutions
    • 4.2.2 Rising Demand for Real-Time Traffic Prediction and Simulation
    • 4.2.3 Growing Integration of Data Analytics and Visualization Tools
    • 4.2.4 Expansion of Edge Computing for Traffic Data Processing
    • 4.2.5 Rising Focus on AI Model Training and Optimization Services

5. Traffic Demand Modeling With Artificial Intelligence (AI) Market Analysis Of End Use Industries

  • 5.1 Government Agencies
  • 5.2 Transportation Authorities
  • 5.3 Logistics Companies
  • 5.4 Urban Planners
  • 5.5 Smart City Developers

6. Traffic Demand Modeling With Artificial Intelligence (AI) Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Traffic Demand Modeling With Artificial Intelligence (AI) Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Traffic Demand Modeling With Artificial Intelligence (AI) PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Traffic Demand Modeling With Artificial Intelligence (AI) Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Traffic Demand Modeling With Artificial Intelligence (AI) Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Traffic Demand Modeling With Artificial Intelligence (AI) Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Traffic Demand Modeling With Artificial Intelligence (AI) Market Segmentation

  • 9.1. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Software, Hardware, Services
  • 9.2. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premises, Cloud
  • 9.3. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Urban Traffic Management, Public Transportation Planning, Road Network Optimization, Freight and Logistics, Other Applications
  • 9.4. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Government Agencies, Transportation Authorities, Logistics Companies, Urban Planners, Other End Users
  • 9.5. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 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
  • 9.6. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 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
  • 9.7. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Consulting Services, System Integration And Deployment, Maintenance And Support, Data Management Services, Artificial Intelligence (AI) Model Training And Optimization, Managed Services

10. Traffic Demand Modeling With Artificial Intelligence (AI) Market, Industry Metrics By Country

  • 10.1. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Traffic Demand Modeling With Artificial Intelligence (AI) Market Regional And Country Analysis

  • 11.1. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 12.1. Asia-Pacific Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 13.1. China Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 14.1. India Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 15.1. Japan Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 16.1. Australia Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 17.1. Indonesia Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 18.1. South Korea Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 19.1. Taiwan Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 20.1. South East Asia Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 21.1. Western Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 22.1. UK Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 23.1. Germany Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 24.1. France Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 25.1. Italy Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 26.1. Spain Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 27.1. Eastern Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 28.1. Russia Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 29.1. North America Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 30.1. USA Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 31.1. Canada Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 32.1. South America Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 33.1. Brazil Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 34.1. Middle East Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Traffic Demand Modeling With Artificial Intelligence (AI) Market

  • 35.1. Africa Traffic Demand Modeling With Artificial Intelligence (AI) Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Traffic Demand Modeling With Artificial Intelligence (AI) Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Traffic Demand Modeling With Artificial Intelligence (AI) Market Regulatory and Investment Landscape

37. Traffic Demand Modeling With Artificial Intelligence (AI) Market Competitive Landscape And Company Profiles

  • 37.1. Traffic Demand Modeling With Artificial Intelligence (AI) Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Traffic Demand Modeling With Artificial Intelligence (AI) Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Traffic Demand Modeling With Artificial Intelligence (AI) Market Company Profiles
    • 37.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. AECOM Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Jacobs Solutions Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. WSP Global Inc. Overview, Products and Services, Strategy and Financial Analysis

38. Traffic Demand Modeling With Artificial Intelligence (AI) Market Other Major And Innovative Companies

  • 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.

39. Global Traffic Demand Modeling With Artificial Intelligence (AI) Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Traffic Demand Modeling With Artificial Intelligence (AI) Market

42. Traffic Demand Modeling With Artificial Intelligence (AI) Market High Potential Countries, Segments and Strategies

  • 42.1. Traffic Demand Modeling With Artificial Intelligence (AI) Market In 2030 - Countries Offering Most New Opportunities
  • 42.2. Traffic Demand Modeling With Artificial Intelligence (AI) Market In 2030 - Segments Offering Most New Opportunities
  • 42.3. Traffic Demand Modeling With Artificial Intelligence (AI) Market In 2030 - Growth Strategies
    • 42.3.1. Market Trend Based Strategies
    • 42.3.2. Competitor Strategies

43. Appendix

  • 43.1. Abbreviations
  • 43.2. Currencies
  • 43.3. Historic And Forecast Inflation Rates
  • 43.4. Research Inquiries
  • 43.5. The Business Research Company
  • 43.6. Copyright And Disclaimer
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