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1859775

全球智慧公共交通市場：預測（至2032年）－依交通途徑、解決方案類型、部署方式、技術、最終使用者和地區進行分析

Smart Public Transit Market Forecasts to 2032 - Global Analysis By Transit Mode (Bus Transit, Rail Transit, Metro/Subway Systems, Tram & Light Rail, and Ferry & Water Transport), Solution Type, Deployment, Technology, End User, and By Geography.
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計 2025 年全球智慧公共交通市場規模將達到 788 億美元，到 2032 年將達到 3,156 億美元，預測期內複合年成長率為 21.9%。

智慧公共交通是一種技術增強型交通系統，它利用數位化工具來提高效率、安全性和乘客便利性。這包括即時車輛追蹤、自動調度、非接觸式支付和數據驅動的路線最佳化。這些系統通常整合行動應用程式、感測器和通訊網路，以提供及時更新和個人化的出行資訊。其目標是透過利用能夠適應不斷變化的情況和乘客需求的智慧型系統，使公共交通更快、更便捷、更易於使用。

國際交通論壇表示，人工智慧驅動的調度和即時乘客資訊應用程式透過減少等待時間、使旅程更加可預測和便捷，提高了公共交通的客流量。

日益成長的城市交通需求

隨著城市人口成長和交通堵塞加劇，對高效城市出行解決方案的需求日益成長，智慧公共交通市場也因此蓬勃發展。在快速都市化和永續性目標的推動下，各國政府正加大對智慧交通系統的投入，以提升通勤便利性並減少排放。物聯網、人工智慧和數據分析的融合實現了即時路線最佳化，提高了服務可靠性。因此，對無縫互聯的城市交通網路的重視正在加速全球智慧交通的普及。

高額資金需求

高昂的初始資本投入仍是智慧公共運輸市場的主要限制因素。實施諸如自動收費、車輛遠端資訊處理和預測維修系統等先進技術需要大量資金。此外，基礎設施升級和與舊有系統的整合也會增加交通管理部門的計劃成本。開發中國家有限的預算進一步限制了這些技術的部署。因此，儘管智慧交通現代化舉措具有長期的營運效益，但高昂的初始支出仍然是其廣泛應用的一大障礙。

採用自動駕駛交通工具

自動駕駛和半自動公共交通系統的日益普及為市場擴張帶來了巨大的機會。駕駛人公車和接駁巴士能夠提高營運效率、安全性和燃油效率，同時減少人為錯誤。各國政府和技術供應商正在試行建造智慧交通走廊，以測試這些創新技術。此外，人工智慧主導的控制中心和互聯解決方案正在變革車輛協調方式。隨著自動駕駛技術的日益成熟，它們將更深入地融入智慧公共交通生態系統，從而開闢新的收入成長和績效最佳化前景。

網路安全風險

由於互聯互通程度的提高和對資料的依賴性增強，網路安全漏洞對智慧公共交通市場構成了重大威脅。交通網路收集大量的乘客、付款和營運數據，使其成為網路攻擊的理想目標。資料外洩會導致服務中斷、安全隱患增加，並損害公眾信任。此外，數位系統缺乏統一的安全通訊協定也加劇了風險。因此，確保端到端資料加密和系統彈性對於維護市場信譽和用戶信心至關重要。

新冠疫情的影響：

新冠疫情曾一度擾亂公共交通營運，導致客流量下降和技術投資延遲。然而，疫情也加速了交通管理的數位轉型，包括非接觸式票務、運轉率追蹤和預測性衛生系統等。隨著城市重新開放，注重衛生、安全和即時溝通的智慧交通解決方案正變得越來越普及。此外，政府的復甦計畫也正在向具有韌性和永續的交通基礎設施投入資金。總而言之，疫情再形成了智慧交通的優先事項，使其朝著以健康為導向、數據驅動和適應性強的方向發展。

預計在預測期內，公共汽車運輸將成為最大的運輸板塊。

由於公車運輸在已開發城市和新興城市均廣泛應用，預計在預測期內，公車運輸領域將佔據最大的市場佔有率。公車是城市交通網路的骨幹，因此非常適合整合智慧技術。即時乘客資訊、動態路線規劃和數位化票價系統正在提升通勤者的便利性。此外，電動公車和連網公車符合碳中和目標。這些進步共同鞏固了公車運輸領域的市場領導地位。

預計在預測期內，車輛監控和維護細分市場將實現最高的複合年成長率。

在對營運效率和資產最佳化的日益重視的推動下，車輛監控和維護領域預計將在預測期內實現最高成長率。物聯網感測器和遠端資訊處理系統能夠實現即時車輛診斷、預測性維護和燃油管理，從而減少停機時間並延長車輛使用壽命。此外，車輛分析能夠實現性能追蹤並提高成本效益。向數據主導車隊管理解決方案的轉變，使該領域成為智慧交通系統中的高成長領域。

比最大的地區

由於快速的都市化、強力的政府舉措以及不斷擴展的地鐵和公車網路，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、日本和印度等國家在部署智慧交通基礎設施方面處於領先地位。對智慧城市計劃和綜合出行平台的巨額投資進一步推動了成長。此外，智慧型手機普及率的提高和數位支付的廣泛應用使得即時乘客管理成為可能，從而鞏固了該地區的市場主導地位。

複合年成長率最高的地區：

在預測期內，由於強勁的技術創新、永續性指令以及互聯公共交通解決方案的日益普及，北美預計將呈現最高的複合年成長率。美國和加拿大正優先推動電動和自動駕駛交通的整合，並獲得了聯邦政府的資金支持。此外，技術提供者與交通機構之間的夥伴關係正在推動先進的數據分析和網路安全框架的建構。這種創新和基礎設施現代化的生態系統使北美成為成長最快的區域市場。

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    • 基於產品系列、地域覆蓋和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 感染疾病疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球智慧公共運輸市場依交通途徑

  • 巴士交通
  • 鐵路運輸
  • 地鐵系統
  • 路面電車和輕軌
  • 渡輪和水上交通

6. 全球智慧公共運輸市場按解決方案類型分類

  • 票務和票價管理
  • 乘客資訊系統
  • 交通管理與控制
  • 車隊監控與維護

7. 全球智慧公共運輸市場依部署方式分類

  • 本地部署解決方案
  • 雲端基礎的平台
  • 混合部署

8. 全球智慧公共運輸市場（依技術分類）

  • 物聯網和連網設備
  • 巨量資料分析
  • 人工智慧和機器學習
  • 區塊鏈整合

9. 全球智慧公共運輸市場（按最終用戶分類）

  • 地方政府
  • 公共運輸
  • 私人企業經營者
  • 通勤者

第10章 全球智慧公共運輸市場（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
    • 其他南美洲
  • 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：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章：公司簡介

  • Siemens AG
  • Bentley Systems, Inc.
  • Hitachi Ltd.
  • NEC Corporation
  • Thales Group
  • Mitsubishi Electric Corporation
  • Huawei Technologies Co., Ltd.
  • Mundys
  • Alstom SA
  • Indra Sistemas SA
  • IBM Corporation
  • Verra Mobility Corporation
  • Cisco Systems, Inc.
  • Bombardier Inc.
  • General Electric Company
  • Cubic Corporation
Product Code: SMRC31999

According to Stratistics MRC, the Global Smart Public Transit Market is accounted for $78.8 billion in 2025 and is expected to reach $315.6 billion by 2032 growing at a CAGR of 21.9% during the forecast period. Smart Public Transit is a technology-enhanced transportation system that uses digital tools to improve efficiency, safety, and convenience for passengers. It includes real-time tracking of vehicles, automated scheduling, contactless payment, and data-driven route optimization. These systems often integrate mobile apps, sensors, and communication networks to provide timely updates and personalized travel information. The goal is to make public transportation more responsive, accessible, and user-friendly by leveraging intelligent systems that adapt to changing conditions and passenger needs.

According to the International Transport Forum, AI-powered scheduling and real-time passenger information apps are increasing public transport ridership by reducing wait times and improving the predictability and convenience of journeys.

Market Dynamics:

Driver:

Rising urban mobility needs

The Smart Public Transit Market is primarily driven by the growing demand for efficient urban mobility solutions amid rising city populations and traffic congestion. Fueled by rapid urbanization and sustainability goals, governments are investing in intelligent transport systems to enhance commuter convenience and reduce emissions. The integration of IoT, AI, and data analytics enables real-time route optimization and improved service reliability. Consequently, increasing emphasis on seamless, connected urban transport networks continues to accelerate smart transit adoption globally.

Restraint:

High capital requirements

High initial capital investments remain a significant restraint in the Smart Public Transit Market. Implementing advanced technologies such as automated fare collection, vehicle telematics, and predictive maintenance systems involves substantial financial outlays. Additionally, infrastructure upgrades and integration with legacy systems increase project costs for transit authorities. Limited budgets in developing economies further restrict deployment. Hence, despite long-term operational benefits, the high upfront expenditure acts as a deterrent for widespread smart transit modernization initiatives.

Opportunity:

Adoption of autonomous transit

The growing adoption of autonomous and semi-autonomous public transit systems offers a major opportunity for market expansion. Driverless buses and shuttles enhance operational efficiency, safety, and fuel optimization while reducing human error. Governments and technology providers are piloting smart mobility corridors to test these innovations. Furthermore, AI-driven control centers and connectivity solutions are transforming fleet coordination. As autonomous technologies mature, their integration into smart public transit ecosystems will unlock new revenue and performance optimization prospects.

Threat:

Cybersecurity risks

Cybersecurity vulnerabilities pose a critical threat to the Smart Public Transit Market due to increasing connectivity and data dependency. Transit networks collect vast amounts of passenger, payment, and operational data, making them attractive targets for cyberattacks. Breaches can disrupt services, compromise safety, and erode public trust. Moreover, the lack of uniform security protocols across digital systems amplifies risk exposure. Consequently, ensuring end-to-end data encryption and system resilience is becoming imperative for sustaining market credibility and user confidence.

Covid-19 Impact:

The COVID-19 pandemic temporarily disrupted public transit operations, leading to reduced ridership and delayed technology investments. However, it also accelerated digital transformation in transport management, including contactless ticketing, occupancy tracking, and predictive sanitation systems. As cities reopen, smart transit solutions emphasizing hygiene, safety, and real-time communication are gaining traction. Moreover, government recovery programs are channeling funds into resilient and sustainable mobility infrastructure. Overall, the pandemic reshaped smart transit priorities toward health-conscious, data-driven, and adaptive transport ecosystems.

The bus transit segment is expected to be the largest during the forecast period

The bus transit segment is expected to account for the largest market share during the forecast period, resulting from its wide-scale adoption across both developed and emerging cities. Buses serve as the backbone of urban mobility networks, making them ideal for smart technology integration. Real-time passenger information, dynamic route planning, and digital fare systems are enhancing commuter experience. Additionally, electric and connected buses align with carbon neutrality goals. These advancements collectively strengthen the bus transit segment's market leadership.

The fleet monitoring & maintenance segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the fleet monitoring & maintenance segment is predicted to witness the highest growth rate, propelled by the increasing focus on operational efficiency and asset optimization. IoT-enabled sensors and telematics systems are enabling real-time vehicle diagnostics, predictive maintenance, and fuel management. This reduces downtime and extends vehicle lifespan. Additionally, fleet analytics enhances performance tracking and cost efficiency. The shift toward data-driven fleet management solutions positions this segment as a high-growth area in smart transit systems.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, attributed to rapid urbanization, strong government initiatives, and expanding metro and bus networks. Countries such as China, Japan, and India are leading in deploying intelligent transportation infrastructure. Substantial investments in smart city projects and integrated mobility platforms are further accelerating growth. Additionally, increasing smartphone penetration and digital payment adoption are supporting real-time passenger management, strengthening the region's market dominance.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with robust technological innovation, sustainability mandates, and growing adoption of connected public transport solutions. The U.S. and Canada are emphasizing electric and autonomous transit integration supported by federal funding. Moreover, partnerships between technology providers and transit agencies are fostering advanced data analytics and cybersecurity frameworks. This ecosystem of innovation and infrastructure modernization positions North America as the fastest-growing regional market.

Key players in the market

Some of the key players in Smart Public Transit Market include Siemens AG, Bentley Systems, Inc., Hitachi Ltd., NEC Corporation, Thales Group, Mitsubishi Electric Corporation, Huawei Technologies Co., Ltd., Mundys, Alstom SA, Indra Sistemas S.A., IBM Corporation, Verra Mobility Corporation, Cisco Systems, Inc., Bombardier Inc., General Electric Company, and Cubic Corporation.

Key Developments:

In October 2025, Bentley Systems honored smart transit projects at its Going Digital Awards, including digital twin applications for urban rail. The company emphasized AI and 4D delivery for infrastructure resilience

In September 2025, Alstom launched Adessia Stream and Innovia APM at MetroTrans China. The company's AiM 2025 strategy focuses on green mobility and high-capacity urban rail.

In March 2025, Huawei launched seven smart transportation solutions at MWC Barcelona, including Smart Railway Yard & Station. The system boosts fault detection accuracy to 99.99% and inspection speed by 30%.

Transit Modes Covered:

  • Bus Transit
  • Rail Transit
  • Metro/Subway Systems
  • Tram & Light Rail
  • Ferry & Water Transport

Solution Types Covered:

  • Ticketing & Fare Management
  • Passenger Information Systems
  • Traffic Management & Control
  • Fleet Monitoring & Maintenance

Deployments Covered:

  • On-Premise Solutions
  • Cloud-Based Platforms
  • Hybrid Deployments

Technologies Covered:

  • IoT & Connected Devices
  • Big Data Analytics
  • AI & Machine Learning
  • Blockchain Integration

End Users Covered:

  • Municipal Authorities
  • Public Transport Agencies
  • Private Operators
  • Commuters

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 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Smart Public Transit Market, By Transit Mode

  • 5.1 Introduction
  • 5.2 Bus Transit
  • 5.3 Rail Transit
  • 5.4 Metro/Subway Systems
  • 5.5 Tram & Light Rail
  • 5.6 Ferry & Water Transport

6 Global Smart Public Transit Market, By Solution Type

  • 6.1 Introduction
  • 6.2 Ticketing & Fare Management
  • 6.3 Passenger Information Systems
  • 6.4 Traffic Management & Control
  • 6.5 Fleet Monitoring & Maintenance

7 Global Smart Public Transit Market, By Deployment

  • 7.1 Introduction
  • 7.2 On-Premise Solutions
  • 7.3 Cloud-Based Platforms
  • 7.4 Hybrid Deployments

8 Global Smart Public Transit Market, By Technology

  • 8.1 Introduction
  • 8.2 IoT & Connected Devices
  • 8.3 Big Data Analytics
  • 8.4 AI & Machine Learning
  • 8.5 Blockchain Integration

9 Global Smart Public Transit Market, By End User

  • 9.1 Introduction
  • 9.2 Municipal Authorities
  • 9.3 Public Transport Agencies
  • 9.4 Private Operators
  • 9.5 Commuters

10 Global Smart Public Transit 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 Siemens AG
  • 12.2 Bentley Systems, Inc.
  • 12.3 Hitachi Ltd.
  • 12.4 NEC Corporation
  • 12.5 Thales Group
  • 12.6 Mitsubishi Electric Corporation
  • 12.7 Huawei Technologies Co., Ltd.
  • 12.8 Mundys
  • 12.9 Alstom SA
  • 12.10 Indra Sistemas S.A.
  • 12.11 IBM Corporation
  • 12.12 Verra Mobility Corporation
  • 12.13 Cisco Systems, Inc.
  • 12.14 Bombardier Inc.
  • 12.15 General Electric Company
  • 12.16 Cubic Corporation

List of Tables

  • Table 1 Global Smart Public Transit Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Smart Public Transit Market Outlook, By Transit Mode (2024-2032) ($MN)
  • Table 3 Global Smart Public Transit Market Outlook, By Bus Transit (2024-2032) ($MN)
  • Table 4 Global Smart Public Transit Market Outlook, By Rail Transit (2024-2032) ($MN)
  • Table 5 Global Smart Public Transit Market Outlook, By Metro/Subway Systems (2024-2032) ($MN)
  • Table 6 Global Smart Public Transit Market Outlook, By Tram & Light Rail (2024-2032) ($MN)
  • Table 7 Global Smart Public Transit Market Outlook, By Ferry & Water Transport (2024-2032) ($MN)
  • Table 8 Global Smart Public Transit Market Outlook, By Solution Type (2024-2032) ($MN)
  • Table 9 Global Smart Public Transit Market Outlook, By Ticketing & Fare Management (2024-2032) ($MN)
  • Table 10 Global Smart Public Transit Market Outlook, By Passenger Information Systems (2024-2032) ($MN)
  • Table 11 Global Smart Public Transit Market Outlook, By Traffic Management & Control (2024-2032) ($MN)
  • Table 12 Global Smart Public Transit Market Outlook, By Fleet Monitoring & Maintenance (2024-2032) ($MN)
  • Table 13 Global Smart Public Transit Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 14 Global Smart Public Transit Market Outlook, By On-Premise Solutions (2024-2032) ($MN)
  • Table 15 Global Smart Public Transit Market Outlook, By Cloud-Based Platforms (2024-2032) ($MN)
  • Table 16 Global Smart Public Transit Market Outlook, By Hybrid Deployments (2024-2032) ($MN)
  • Table 17 Global Smart Public Transit Market Outlook, By Technology (2024-2032) ($MN)
  • Table 18 Global Smart Public Transit Market Outlook, By IoT & Connected Devices (2024-2032) ($MN)
  • Table 19 Global Smart Public Transit Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 20 Global Smart Public Transit Market Outlook, By AI & Machine Learning (2024-2032) ($MN)
  • Table 21 Global Smart Public Transit Market Outlook, By Blockchain Integration (2024-2032) ($MN)
  • Table 22 Global Smart Public Transit Market Outlook, By End User (2024-2032) ($MN)
  • Table 23 Global Smart Public Transit Market Outlook, By Municipal Authorities (2024-2032) ($MN)
  • Table 24 Global Smart Public Transit Market Outlook, By Public Transport Agencies (2024-2032) ($MN)
  • Table 25 Global Smart Public Transit Market Outlook, By Private Operators (2024-2032) ($MN)
  • Table 26 Global Smart Public Transit Market Outlook, By Commuters (2024-2032) ($MN)

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