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市场调查报告书
商品编码
1904619

智慧交通分析市场预测至2032年：按解决方案、资料来源、部署类型、运输方式、最终用户和地区分類的全球分析

Intelligent Transportation Analytics Market Forecasts to 2032 - Global Analysis By Solution, Data Source, Deployment, Mode Of Transport, End User, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球智慧交通分析市场规模将达到 243 亿美元，到 2032 年将达到 1,017 亿美元，预测期内复合年增长率为 19.6%。

智慧交通分析 (ITA) 运用先进的数据分析、人工智慧和物联网技术，对交通运输进行监测、建模和最佳化。它处理来自公路、铁路、航空和海运网路的数据，以帮助改善交通流量、侦测事故、分析乘客流动并制定基础设施规划。 ITA 支援智慧城市计划，提高安全性、缓解拥塞并提供预测性出行解决方案。透过将原始交通数据转化为可执行的洞察，ITA 提升了城市和区域交通的效率和永续性。

对交通优化的需求日益增长

都市区日益严重的交通拥堵和车辆密度，推动了对交通优化需求的成长，这也是智慧交通分析市场发展的关键驱动力。交通管理部门正利用先进的分析技术来改善交通流量、缩短行程时间并减少排放气体。在数据驱动的出行规划需求的驱动下，智慧分析平台支援即时决策和预测性交通管理。这些解决方案提高了道路利用效率，改善了通勤者的出行体验，因此在大都会圈和快速都市化地区得到了迅速推广应用。

即时数据准确性的局限性

即时数据准确性的不足是限制市场成长的主要因素。智慧交通分析依赖来自感测器、摄影机和联网汽车的高品质数据，而这些数据可能受到技术故障和环境因素的影响。不稳定的资料流和延迟问题会降低分析结果的可靠性，削弱交通管理部门和负责人的信心，从而延缓大规模部署。确保可靠、准确的即时数据仍然是解决方案提供者面临的关键挑战。

智慧城市交通措施

智慧城市交通倡议为智慧交通分析市场带来了巨大的机会。世界各国政府都在投资建设数位基础设施，以实现智慧出行解决方案。在城市永续性目标和公共需求的驱动下，智慧城市计画正在将交通分析与物联网、人工智慧和云端平台结合。这些措施将创造对先进分析技术的长期需求，用于管理多模态交通网路、优化基础设施利用率并提高城市出行效率。

公众对数据监测的担忧

公众对数据监控的担忧对市场扩张构成重大威胁。智慧交通分析通常涉及收集车辆和通勤者数据，从而引发隐私和数据保护问题。随着公众对监控风险的认识不断提高，公众的抵制可能会影响监管力道。更严格的资料管治要求可能导致合规成本增加和资料存取受限。这些担忧可能会减缓智慧交通分析的普及，尤其是在隐私法规严格且公众对资料使用高度敏感的地区。

新冠疫情的影响

新冠疫情导致交通流量减少和基础设施计划延误，暂时扰乱了智慧交通分析市场。封锁措施降低了对交通优化解决方案的即时需求。然而，疫情后的復苏期凸显了韧性和适应性交通的重要性。为了因应不断变化的出行模式，各城市加快了对主导数据分析的交通管理的投资。儘管在疫情高峰期市场出现短期下滑，但这种转变支撑了市场的长期成长。

预计在预测期内，交通监控领域将占据最大的市场份额。

由于交通监控在智慧交通中发挥至关重要的作用，预计在预测期内，交通监控领域将占据最大的市场份额。交通监控解决方案能够提供关于车流、拥塞程度和事故侦测的持续数据。由于摄影机和感测器的广泛应用，该领域支援即时分析和预测建模。其在交通管理和基础设施规划方面的核心能力巩固了其市场主导地位。

预计在预测期内，基于感测器的资料区段将实现最高的复合年增长率。

预计在预测期内，基于感测器的资料区段将实现最高成长率，这主要得益于物联网和连接基础设施的进步。感测器能够对道路、交叉路口和车辆进行精确的即时数据采集。随着感测器成本的下降和精度的提高，其应用正在迅速扩展。基于感测器的数据能够增强分析能力，并支援自适应交通号誌控制等高阶应用场景，从而推动该细分市场实现强劲的复合年增长率。

比最大的地区

由于快速的都市化和大规模的智慧城市投资，亚太地区预计将在预测期内占据最大的市场份额。中国、印度和日本等国家正在采用智慧型运输来应对交通拥堵挑战。在政府资金支持和高人口密度的推动下，该地区已成为主要的需求中心。数位基础设施的扩展将进一步巩固亚太地区在智慧型运输分析技术应用方面的主导地位。

复合年均成长率最高的地区

在预测期内，北美地区预计将实现最高的复合年增长率，这主要得益于先进技术的应用和强有力的智慧运输计画。主要分析服务提供者的入驻以及联网汽车技术的早期应用正在推动这一成长。人工智慧、云端平台和交通管理现代化的投资持续成长，推动了市场需求的持续攀升。此外，监管机构对智慧交通的支持也进一步促进了北美市场的扩张。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球智慧交通分析市场（按解决方案划分）

  • 交通监控分析
  • 事件检测分析
  • 预测性交通建模
  • 客流分析

6. 全球智慧交通分析市场（依资料来源划分）

  • 基于感测器的数据（光达、雷达、摄影机）
  • GPS和远端资讯处理数据
  • 行动和应用程式数据
  • 交通号誌基础设施数据
  • 社群媒体和众包数据

7. 全球智慧交通分析市场依部署类型划分

  • 本地部署
  • 基于云端的

8. 全球智慧交通分析市场（依交通方式划分）

  • 路
  • 铁路
  • 航空
  • 海

9. 全球智慧交通分析市场（以最终用户划分）

  • 政府/市政当局
  • 运输
  • 物流和车队营运商
  • 公共运输运输业者
  • 机场和港口当局
  • 智慧城市规划师和管理者

第十章 全球智慧交通分析市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：企业概况

  • IBM Corporation
  • Siemens Mobility
  • Cubic Corporation
  • Kapsch TrafficCom AG
  • INRIX, Inc.
  • TomTom NV
  • Iteris, Inc.
  • Hitachi, Ltd.
  • Huawei Technologies Co., Ltd.
  • Thales Group
  • NEC Corporation
  • SAP SE
  • Oracle Corporation
  • Cisco Systems, Inc.
  • Alteryx, Inc.
  • Trimble Inc.
Product Code: SMRC33074

According to Stratistics MRC, the Global Intelligent Transportation Analytics Market is accounted for $24.3 billion in 2025 and is expected to reach $101.7 billion by 2032 growing at a CAGR of 19.6% during the forecast period. Intelligent Transportation Analytics (ITA) applies advanced data analytics, AI, and IoT technologies to monitor, model, and optimize transportation systems. It processes data from roadways, railways, airways, and maritime networks to improve traffic flow, incident detection, passenger movement, and infrastructure planning. ITA supports smart city initiatives, enhances safety, reduces congestion, and enables predictive mobility solutions. By transforming raw transport data into actionable insights, ITA drives efficiency and sustainability in urban and regional mobility.

Market Dynamics:

Driver:

Rising demand for traffic optimization

Rising demand for traffic optimization is a key driver for the Intelligent Transportation Analytics market, driven by increasing urban congestion and vehicle density. Transportation authorities are leveraging advanced analytics to improve traffic flow, reduce travel time, and lower emissions. Fueled by the need for data-driven mobility planning, intelligent analytics platforms support real-time decision-making and predictive traffic management. These solutions enhance road utilization efficiency and improve commuter experiences, accelerating adoption across metropolitan and rapidly urbanizing regions.

Restraint:

Limited data accuracy in real-time

Limited data accuracy in real time acts as a major restraint for market growth. Intelligent transportation analytics rely on high-quality data from sensors, cameras, and connected vehicles, which can be affected by technical faults or environmental conditions. Influenced by inconsistent data streams and latency issues, analytics outputs may be compromised. This reduces confidence among traffic authorities and planners, slowing large-scale implementation. Ensuring reliable, accurate real-time data remains a critical challenge for solution providers.

Opportunity:

Smart city transportation initiatives

Smart city transportation initiatives present a strong opportunity for the Intelligent Transportation Analytics market. Governments worldwide are investing in digital infrastructure to enable intelligent mobility solutions. Propelled by urban sustainability goals and public safety requirements, smart city programs integrate traffic analytics with IoT, AI, and cloud platforms. These initiatives create long-term demand for advanced analytics to manage multimodal transportation networks, optimize infrastructure usage, and enhance overall urban mobility efficiency.

Threat:

Public concerns over data surveillance

Public concerns over data surveillance pose a significant threat to market expansion. Intelligent transportation analytics often involve collection of vehicle and commuter data, raising privacy and data protection issues. Fueled by increased awareness of surveillance risks, public resistance may influence regulatory constraints. Stricter data governance requirements can increase compliance costs and limit data accessibility. These concerns may slow adoption, particularly in regions with strong privacy regulations and heightened public sensitivity to data usage.

Covid-19 Impact:

The COVID-19 pandemic temporarily disrupted the Intelligent Transportation Analytics market due to reduced traffic volumes and delayed infrastructure projects. Lockdowns lowered immediate demand for traffic optimization solutions. However, post-pandemic recovery emphasized resilient and adaptive transportation systems. Motivated by the need to manage fluctuating mobility patterns, cities accelerated investments in analytics-driven traffic management. This shift supported long-term market growth, despite short-term declines during peak pandemic periods.

The traffic monitoring segment is expected to be the largest during the forecast period

The traffic monitoring segment is expected to account for the largest market share during the forecast period, resulting from its foundational role in intelligent transportation systems. Traffic monitoring solutions provide continuous data on vehicle flow, congestion levels, and incident detection. Driven by widespread deployment of cameras and sensors, this segment supports real-time analytics and predictive modeling. Its essential function in traffic management and infrastructure planning reinforces dominant market positioning.

The sensor-based data segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the sensor-based data segment is predicted to witness the highest growth rate, propelled by advancements in IoT and connected infrastructure. Sensors enable precise, real-time data collection across roads, intersections, and vehicles. Spurred by falling sensor costs and improved accuracy, adoption is expanding rapidly. Sensor-based data enhances analytics quality and supports advanced use cases such as adaptive signal control, driving strong CAGR within this segment.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid urbanization and large-scale smart city investments. Countries such as China, India, and Japan are implementing intelligent transportation systems to address congestion challenges. Supported by government funding and high population density, the region represents a major demand hub. Expanding digital infrastructure further strengthens Asia Pacific's leadership in intelligent transportation analytics adoption.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with advanced technology adoption and strong smart mobility initiatives. The presence of leading analytics providers and early deployment of connected vehicle technologies drive growth. Fueled by investments in AI, cloud platforms, and traffic management modernization, demand continues to rise. Regulatory support for smart transportation further accelerates market expansion across North America.

Key players in the market

Some of the key players in Intelligent Transportation Analytics Market include IBM Corporation, Siemens Mobility, Cubic Corporation, Kapsch TrafficCom AG, INRIX, Inc., TomTom N.V., Iteris, Inc., Hitachi, Ltd., Huawei Technologies Co., Ltd., Thales Group, NEC Corporation, SAP SE, Oracle Corporation, Cisco Systems, Inc., Alteryx, Inc. and Trimble Inc.

Key Developments:

In November 2025, Cubic introduced integrated analytics for fare collection and transit operations, combining passenger flow data with predictive algorithms to enhance efficiency, reduce bottlenecks, and improve service reliability in public transport systems.

In October 2025, IBM expanded its AI-powered transportation analytics suite, integrating predictive traffic modeling and multimodal optimization, enabling cities to reduce congestion, improve safety, and enhance sustainability in urban mobility networks.

In September 2025, Siemens Mobility launched advanced analytics platforms for smart rail and road systems, leveraging IoT sensors and AI to optimize traffic flow, reduce delays, and improve passenger experience in metropolitan areas.

Solutions Covered:

  • Traffic Monitoring Analytics
  • Incident Detection Analytics
  • Predictive Traffic Modeling
  • Passenger Flow Analytics

Data Sources Covered:

  • Sensor-Based Data (LIDAR, RADAR, Cameras)
  • GPS & Telematics Data
  • Mobile & App-Based Data
  • Traffic Signal & Infrastructure Data
  • Social Media & Crowdsourced Data

Deployments Covered:

  • On-Premise
  • Cloud-Based

Mode Of Transports Covered:

  • Roadways
  • Railways
  • Airways
  • Maritime

End Users Covered:

  • Government & Municipal Authorities
  • Transportation Agencies
  • Logistics & Fleet Operators
  • Public Transit Operators
  • Airport & Port Authorities
  • Smart City Planners & Administrators

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Intelligent Transportation Analytics Market, By Solution

  • 5.1 Introduction
  • 5.2 Traffic Monitoring Analytics
  • 5.3 Incident Detection Analytics
  • 5.4 Predictive Traffic Modeling
  • 5.5 Passenger Flow Analytics

6 Global Intelligent Transportation Analytics Market, By Data Source

  • 6.1 Introduction
  • 6.2 Sensor-Based Data (LIDAR, RADAR, Cameras)
  • 6.3 GPS & Telematics Data
  • 6.4 Mobile & App-Based Data
  • 6.6 Traffic Signal & Infrastructure Data
  • 6.6 Social Media & Crowdsourced Data

7 Global Intelligent Transportation Analytics Market, By Deployment

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global Intelligent Transportation Analytics Market, By Mode Of Transport

  • 8.1 Introduction
  • 8.2 Roadways
  • 8.3 Railways
  • 8.4 Airways
  • 8.5 Maritime

9 Global Intelligent Transportation Analytics Market, By End User

  • 9.1 Introduction
  • 9.2 Government & Municipal Authorities
  • 9.3 Transportation Agencies
  • 9.4 Logistics & Fleet Operators
  • 9.5 Public Transit Operators
  • 9.6 Airport & Port Authorities
  • 9.7 Smart City Planners & Administrators

10 Global Intelligent Transportation Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM Corporation
  • 12.2 Siemens Mobility
  • 12.3 Cubic Corporation
  • 12.4 Kapsch TrafficCom AG
  • 12.5 INRIX, Inc.
  • 12.6 TomTom N.V.
  • 12.7 Iteris, Inc.
  • 12.8 Hitachi, Ltd.
  • 12.9 Huawei Technologies Co., Ltd.
  • 12.10 Thales Group
  • 12.11 NEC Corporation
  • 12.12 SAP SE
  • 12.13 Oracle Corporation
  • 12.14 Cisco Systems, Inc.
  • 12.15 Alteryx, Inc.
  • 12.16 Trimble Inc.

List of Tables

  • Table 1 Global Intelligent Transportation Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Intelligent Transportation Analytics Market Outlook, By Solution (2024-2032) ($MN)
  • Table 3 Global Intelligent Transportation Analytics Market Outlook, By Traffic Monitoring Analytics (2024-2032) ($MN)
  • Table 4 Global Intelligent Transportation Analytics Market Outlook, By Incident Detection Analytics (2024-2032) ($MN)
  • Table 5 Global Intelligent Transportation Analytics Market Outlook, By Predictive Traffic Modeling (2024-2032) ($MN)
  • Table 6 Global Intelligent Transportation Analytics Market Outlook, By Passenger Flow Analytics (2024-2032) ($MN)
  • Table 7 Global Intelligent Transportation Analytics Market Outlook, By Data Source (2024-2032) ($MN)
  • Table 8 Global Intelligent Transportation Analytics Market Outlook, By Sensor-Based Data (LIDAR, RADAR, Cameras) (2024-2032) ($MN)
  • Table 9 Global Intelligent Transportation Analytics Market Outlook, By GPS & Telematics Data (2024-2032) ($MN)
  • Table 10 Global Intelligent Transportation Analytics Market Outlook, By Mobile & App-Based Data (2024-2032) ($MN)
  • Table 11 Global Intelligent Transportation Analytics Market Outlook, By Traffic Signal & Infrastructure Data (2024-2032) ($MN)
  • Table 12 Global Intelligent Transportation Analytics Market Outlook, By Social Media & Crowdsourced Data (2024-2032) ($MN)
  • Table 13 Global Intelligent Transportation Analytics Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 14 Global Intelligent Transportation Analytics Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 15 Global Intelligent Transportation Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 16 Global Intelligent Transportation Analytics Market Outlook, By Mode Of Transport (2024-2032) ($MN)
  • Table 17 Global Intelligent Transportation Analytics Market Outlook, By Roadways (2024-2032) ($MN)
  • Table 18 Global Intelligent Transportation Analytics Market Outlook, By Railways (2024-2032) ($MN)
  • Table 19 Global Intelligent Transportation Analytics Market Outlook, By Airways (2024-2032) ($MN)
  • Table 20 Global Intelligent Transportation Analytics Market Outlook, By Maritime (2024-2032) ($MN)
  • Table 21 Global Intelligent Transportation Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Intelligent Transportation Analytics Market Outlook, By Government & Municipal Authorities (2024-2032) ($MN)
  • Table 23 Global Intelligent Transportation Analytics Market Outlook, By Transportation Agencies (2024-2032) ($MN)
  • Table 24 Global Intelligent Transportation Analytics Market Outlook, By Logistics & Fleet Operators (2024-2032) ($MN)
  • Table 25 Global Intelligent Transportation Analytics Market Outlook, By Public Transit Operators (2024-2032) ($MN)
  • Table 26 Global Intelligent Transportation Analytics Market Outlook, By Airport & Port Authorities (2024-2032) ($MN)
  • Table 27 Global Intelligent Transportation Analytics Market Outlook, By Smart City Planners & Administrators (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.