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市場調查報告書
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1904619

智慧交通分析市場預測至2032年：按解決方案、資料來源、部署類型、運輸方式、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球智慧交通分析市場規模將達到 243 億美元，到 2032 年將達到 1,017 億美元，預測期內複合年成長率為 19.6%。

智慧交通分析 (ITA) 運用先進的數據分析、人工智慧和物聯網技術，對交通運輸進行監測、建模和最佳化。它處理來自公路、鐵路、航空和海運網路的數據，以幫助改善交通流量、偵測事故、分析乘客流動並制定基礎設施規劃。 ITA 支援智慧城市計劃，提高安全性、緩解擁塞並提供預測性出行解決方案。透過將原始交通數據轉化為可執行的洞察，ITA 提升了城市和區域交通的效率和永續性。

對交通最佳化的需求日益成長

都市區日益嚴重的交通堵塞和車輛密度，推動了對交通最佳化需求的成長，這也是智慧交通分析市場發展的關鍵驅動力。交通管理部門正利用先進的分析技術來改善交通流量、縮短行程時間並減少排放氣體。在數據驅動的出行規劃需求的驅動下，智慧分析平台支援即時決策和預測性交通管理。這些解決方案提高了道路利用效率，改善了通勤者的出行體驗，因此在大都會圈和快速都市化地區得到了迅速推廣應用。

即時數據準確性的局限性

即時數據準確性的不足是限制市場成長的主要因素。智慧交通分析依賴來自感測器、攝影機和聯網汽車的高品質數據，而這些數據可能受到技術故障和環境因素的影響。不穩定的資料流和延遲問題會降低分析結果的可靠性，削弱交通管理部門和負責人的信心，從而延緩大規模部署。確保可靠、準確的即時數據仍然是解決方案提供者面臨的關鍵挑戰。

智慧城市交通措施

智慧城市交通舉措為智慧交通分析市場帶來了巨大的機會。世界各國政府都在投資建設數位基礎設施，以實現智慧出行解決方案。在城市永續性目標和公共需求的驅動下，智慧城市計畫正在將交通分析與物聯網、人工智慧和雲端平台結合。這些措施將創造對先進分析技術的長期需求，用於管理多模態交通網路、最佳化基礎設施利用率並提高城市出行效率。

公眾對數據監測的擔憂

公眾對數據監控的擔憂對市場擴張構成重大威脅。智慧交通分析通常涉及收集車輛和通勤者數據，從而引發隱私和數據保護問題。隨著公眾對監控風險的認知不斷提高，公眾的抵制可能會影響監管力道。更嚴格的資料管治要求可能導致合規成本增加和資料存取受限。這些擔憂可能會減緩智慧交通分析的普及，尤其是在隱私法規嚴格且公眾對資料使用高度敏感的地區。

新冠疫情的影響

新冠疫情導致交通流量減少和基礎設施計劃延誤，暫時擾亂了智慧交通分析市場。封鎖措施降低了對交通最佳化解決方案的即時需求。然而，疫情後的復甦期凸顯了韌性和適應性交通的重要性。為了因應不斷變化的出行模式，各城市加快了對主導數據分析的交通管理的投資。儘管在疫情高峰期市場出現短期下滑，但這種轉變支撐了市場的長期成長。

預計在預測期內，交通監控領域將佔據最大的市場佔有率。

由於交通監控在智慧交通中發揮至關重要的作用，預計在預測期內，交通監控領域將佔據最大的市場佔有率。交通監控解決方案能夠提供關於車流、擁塞程度和事故偵測的持續數據。由於攝影機和感測器的廣泛應用，該領域支援即時分析和預測建模。其在交通管理和基礎設施規劃方面的核心能力鞏固了其市場主導地位。

預計在預測期內，基於感測器的資料區段將實現最高的複合年成長率。

預計在預測期內，基於感測器的資料區段將實現最高成長率，這主要得益於物聯網和連接基礎設施的進步。感測器能夠對道路、交叉路口和車輛進行精確的即時數據採集。隨著感測器成本的下降和精度的提高，其應用正在迅速擴展。基於感測器的數據能夠增強分析能力，並支援自適應交通號誌控制等高階應用場景，從而推動該細分市場實現強勁的複合年成長率。

比最大的地區

由於快速的都市化和大規模的智慧城市投資，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、印度和日本等國家正在採用智慧型運輸來應對交通堵塞挑戰。在政府資金支持和高人口密度的推動下，該地區已成為主要的需求中心。數位基礎設施的擴展將進一步鞏固亞太地區在智慧型運輸分析技術應用方面的主導地位。

複合年均成長率最高的地區

在預測期內，北美地區預計將實現最高的複合年成長率，這主要得益於先進技術的應用和強力的智慧運輸計畫。主要分析服務提供者的入駐以及聯網汽車技術的早期應用正在推動這一成長。人工智慧、雲端平台和交通管理現代化的投資持續成長，推動了市場需求的持續攀升。此外，監管機構對智慧交通的支持也進一步促進了北美市場的擴張。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球智慧交通分析市場（按解決方案分類）

  • 交通監控分析
  • 事件檢測分析
  • 預測性交通建模
  • 客流分析

6. 全球智慧交通分析市場（依資料來源分類）

  • 基於感測器的數據（LiDAR、雷達、攝影機）
  • GPS和遠端資訊處理數據
  • 行動和應用程式數據
  • 交通號誌基礎設施數據
  • 社群媒體和群眾外包數據

7. 全球智慧交通分析市場依部署類型分類

  • 本地部署
  • 基於雲端的

8. 全球智慧交通分析市場（依交通方式分類）

  • 路
  • 鐵路
  • 航空
  • 海

9. 全球智慧交通分析市場（以最終用戶分類）

  • 政府/市政當局
  • 運輸
  • 物流和車隊營運商
  • 公共運輸運輸業者
  • 機場和港口當局
  • 智慧城市規劃師和管理者

第10章 全球智慧交通分析市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美國家
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：企業概況

  • 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.