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市場調查報告書
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2074874

2034年自動駕駛大眾運輸市場預測－按車輛類型、自動化程度、推進方式、互聯性、應用、最終用戶和地區分類的全球分析

Autonomous Public Transport Market Forecasts to 2034 - Global Analysis By Vehicle Type, Automation Level, Propulsion Type, Connectivity, Application, 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 的數據，全球自動駕駛公共交通市場預計將在 2026 年達到 68 億美元，到 2034 年達到 283 億美元，在預測期內以 19.5% 的複合年成長率成長。

自動駕駛大眾運輸是指在都市區和郊區交通網路中部署的、能夠自主運作或只需極少人工干預的車輛，提供定時或按需的客運服務。這一類別包括配備先進感知系統、人工智慧導航演算法和V2X（車聯網）通訊功能的自動駕駛公車、穿梭巴士、路面電車、地鐵和軌道運輸系統以及水上運輸船舶。

公共交通領域人事費用上升和駕駛人正在推動自動化技術的普及。

已開發國家的公共交通面臨著招募和留住合格駕駛人的持續挑戰，而勞動力老化和年輕一代對職業駕駛興趣的下降加劇了這個問題。同時，不斷上漲的薪資、法定福利和加班費也給公共交通營運預算帶來了越來越大的財務壓力。自動駕駛汽車技術為降低人事費用、實現全天候運營且不受疲勞限制以及將人力資源重新分配到更高價值的監管和客戶服務崗位提供了強力的手段，因此，從運營和財務角度來看，採用自動化技術對公共交通運營商而言正變得越來越有吸引力。

公共安全問題和嚴格的法規核准要求阻礙了實施。

大眾對自動駕駛公共交通工具的接受度仍然謹慎，自動駕駛系統的安全性能需要在涉及行人、騎乘者和緊急車輛等各種極端場景中進行驗證，尤其是在傳統車輛也存在的城市環境中。大多數地區的監管機構要求在批准商業化部署自動駕駛公共交通工具之前，必須經過較長的測試期、多機構認證流程以及明確的責任框架。公共交通安全事故會引起公眾的廣泛關注，增加運輸服務提供者和供應商的聲譽風險，導致核准流程較為保守、商業化進程延遲以及短期產生收入有限。

智慧城市中的綜合交通走廊為實施創造了一個專門的環境。

市政當局正在開發專門設計的智慧城市區域和專用交通走廊，從而提供維護良好、管理完善的基礎設施環境，使自動駕駛公共交通系統能夠以更低的複雜性和更低的安全認證門檻投入部署。在商業園區、機場和規劃住宅區內實施的地理圍籬式低速穿梭巴士服務，使業者能夠累積營運數據、改善辨識演算法，並增強大眾對自動駕駛大眾運輸效能的信心。這些初始部署點既是具有商業性可行性的產生收入項目，也是未來將自動駕駛公共交通擴展到更廣泛的城市網路的關鍵示範點。

保險市場的責任架構和缺陷造成了實施上的不確定性。

由於缺乏明確的法律責任框架來規範涉及自動駕駛公共交通工具的事故，因此給運輸業者、保險公司和供應商帶來了巨大的不不確定性。在大多數司法管轄區，一旦發生涉及自動駕駛公車或接駁車的事故，車輛製造商、軟體開發商、基礎設施營運商和交通管理部門之間的責任分類仍未得到法律明確規定。這種模糊性導致自動駕駛交通運營商可獲得的保險產品要么價格極其昂貴，要么根本無法獲得，從而限制了商業部署的擴展，並阻礙了規避風險的公共交通管理部門採購此類產品。

新型冠狀病毒（COVID-19）的影響：

新冠感染疾病凸顯了大眾運輸對人類駕駛人的依賴，同時也展現了非接觸式替代交通途徑的潛在價值。儘管公共交通預算削減導致一些自動駕駛公共交通採購項目被推遲，但這場危機暴露了依賴駕駛人的公共交通網路的營運脆弱性，從而產生了長期發展動力。多個國家的經濟復甦投資方案中都包含了對公共交通現代化和自動化研究的資金支持，這使得自動駕駛公共交通成為後疫情時代基礎設施建設支出的受益者，這些支出旨在構建更具韌性和成本效益的公共交通系統。

在預測期內，自動駕駛巴士細分市場預計將佔據最大的市場佔有率。

預計在預測期內，自動駕駛公車將佔據最大的市場佔有率。這反映了在主要都市區線路試驗計畫中部署的大量全尺寸公共交通公車，以及為擴大自動駕駛公車技術在高頻次公共交通線路上的應用規模而進行的大量資本投資。相對規範的營運環境，例如專用公車道和固定線路網路，降低了實現完全自動駕駛的技術複雜性，使得自動駕駛公車成為更廣泛的自動駕駛公共交通生態系統中商業性程度最高的類別。

預計在預測期內，L4（高度自動化）細分市場將呈現最高的複合年成長率。

在預測期內，隨著公共運輸業者和供應商加強在地理圍籬化的都市區和受控園區環境中部署全自動公共運輸服務，L4（高度自動化）細分市場預計將呈現最高的成長率。雷射雷達感測器技術的成熟、先進的V2X通訊技術的整合以及人工智慧驅動的感知能力的提升，使得L4系統能夠以越來越高的可靠性應對複雜的都市區駕駛場景。

市佔率最大的地區：

在預測期內，歐洲地區預計將佔據最大的市場佔有率。這主要歸功於德國、法國、芬蘭、荷蘭和英國集中進行的自動駕駛接駁車和公車示範計畫。強力的監管支持，鼓勵在受控環境下測試自動駕駛車輛；歐盟資助的大規模出行創新項目；以及歐洲大陸高度發達的公共交通體系，都為自動駕駛交通的商業化創造了有利環境。歐洲交通管理部門在將自動駕駛車輛融入城市交通規劃方面，是全球最積極主動的部門之一。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這主要得益於中國在指定試點城市積極部署自動駕駛巴士服務、日本面臨的老齡化社區駕駛人的社會挑戰，以及新加坡對其自動駕駛班車生態系統的持續投資。該地區大規模的城市人口、雄心勃勃的智慧城市計畫以及政府支持的商業化進程，預計將在預測期內推動全球自動駕駛交通採購活動最為集中。

免費客製化服務：

所有購買此報告的客戶均可從以下免費自訂選項中選擇一項：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性評估）。
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球自動駕駛大眾運輸市場：依車輛類型分類

  • 自動駕駛巴士
  • 無人駕駛穿梭巴士
  • 無人駕駛路面電車
  • 自動化地鐵和軌道運輸系統
  • 無人渡輪及水上運輸車輛

第6章 全球自動化大眾運輸市場：依自動化程度分類

  • 一級（駕駛輔助）
  • 二級（部分自動化）
  • 3級（有條件自動駕駛）
  • 4級（高度自動化）
  • 5級（全自動）

第7章：全球自動駕駛大眾運輸市場：依推進類型分類

  • 電池式電動車（BEV）
  • 混合動力電動車（HEV）
  • 燃料電池電動車（FCEV）
  • 傳統燃料汽車

第8章 全球自動駕駛大眾運輸市場：互聯互通

  • 車對車通訊（V2V）
  • 車路通訊（V2I）
  • Vehicle-to-Everything（V2X）
  • 基於雲端的連接

第9章 全球自動駕駛大眾運輸市場：按應用領域分類

  • 城市大眾運輸
  • 機場交通
  • 校園交通
  • 智慧城市交通服務
  • 最後一公里運輸
  • 觀光和休閒交通

第10章 全球自動駕駛大眾運輸市場：依最終用戶分類

  • 大眾運輸
  • 地方政府
  • 機場營運商
  • 教育機構
  • 企業園區及商務園區
  • 旅遊休閒企業

第11章 全球自動駕駛大眾運輸市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • Waymo
  • Zoox
  • WeRide
  • Pony.ai
  • May Mobility
  • EasyMile
  • Navya
  • 2getthere
  • Beep
  • Baidu Apollo
  • Mobileye
  • MOIA
  • Karsan
  • HOLON
  • Via Transportation
Product Code: SMRC37465

According to Stratistics MRC, the Global Autonomous Public Transport Market is accounted for $6.8 billion in 2026 and is expected to reach $28.3 billion by 2034, growing at a CAGR of 19.5% during the forecast period. Autonomous Public Transport refers to self-driving or minimally supervised transit vehicles deployed across urban and suburban mobility networks to provide scheduled or on-demand passenger transportation services. This category encompasses autonomous buses, shuttles, trams, metro and rail systems, and water transit vessels equipped with advanced perception systems, AI-powered navigation algorithms, and vehicle-to-everything communication capabilities.

Market Dynamics:

Driver:

Escalating public transit labor costs and driver shortages driving automation adoption

Public transit authorities across developed markets face persistent challenges in recruiting and retaining qualified drivers, exacerbated by an aging workforce and declining interest among younger generations in professional driving occupations. Simultaneously, rising wages, mandated benefit packages, and overtime costs are placing mounting financial pressure on transit agency operating budgets. Autonomous vehicle technology offers a compelling pathway to reduce personnel expenditures, enable around-the-clock service operations without fatigue limitations, and redeploy human resources to higher-value supervisory and customer service functions, making automation adoption an increasingly attractive operational and financial strategy for transit operators.

Restraint:

Public safety concerns and stringent regulatory approval requirements impeding deployment

Public acceptance of autonomous public transit vehicles remains cautious, particularly in mixed-traffic urban environments where the safety performance of self-driving systems must be demonstrated across a wide spectrum of edge case scenarios involving pedestrians, cyclists, and emergency vehicles. Regulatory bodies in most jurisdictions require extensive testing periods, multi-agency certification processes, and liability framework clarity before authorizing commercial autonomous transit deployments. The high-profile nature of public transit safety incidents amplifies reputational risk for both transit agencies and technology vendors, resulting in conservative approval timelines that delay commercialization and limit near-term revenue generation potential.

Opportunity:

Smart city integrated mobility corridors creating dedicated deployment environments

Municipalities developing purpose-built smart city districts and dedicated mobility corridors provide controlled, infrastructure-rich environments where autonomous public transport systems can be deployed with reduced complexity and lower safety certification barriers. Geofenced low-speed shuttle services in business campuses, airports, and planned residential communities are enabling operators to accumulate operational data, refine perception algorithms, and build public confidence in autonomous transit performance. These early deployment sites serve as commercially viable revenue-generating operations while functioning as critical proving grounds for the eventual expansion of autonomous transit into broader urban networks.

Threat:

Liability frameworks and insurance market gaps creating deployment uncertainty

The absence of clearly established legal liability frameworks governing autonomous public transit accidents creates significant uncertainty for transit agencies, insurance providers, and technology vendors. Determining responsibility allocation between vehicle manufacturers, software developers, infrastructure operators, and transit authorities in the event of incidents involving autonomous buses or shuttles remains legally unresolved in most jurisdictions. This ambiguity results in prohibitively expensive or unavailable insurance products for autonomous transit operators, constraining commercial deployment expansion and discouraging procurement commitments from risk-averse public transit authorities.

Covid-19 Impact:

The COVID-19 pandemic highlighted the dependence of public transit on human drivers while simultaneously demonstrating the potential value of reduced-contact transportation alternatives. Agency budget contractions deferred some autonomous transit procurement programs, yet the crisis created long-term momentum by exposing the operational fragility of driver-dependent transit networks. Recovery investment packages in multiple countries included provisions for transit modernization and automation research, positioning autonomous public transport as a beneficiary of post-pandemic infrastructure spending aimed at building more resilient and cost-efficient public mobility systems.

The Autonomous Buses segment is expected to be the largest during the forecast period

The Autonomous Buses segment is expected to account for the largest market share during the forecast period, reflecting the significant volume of full-size transit bus deployments in urban corridor pilot programs and the substantial capital investment directed at scaling autonomous bus technology for high-frequency public routes. The relatively structured operational environments of dedicated bus lanes and fixed route networks lower the technical complexity of full autonomy implementation, making autonomous buses the most commercially advanced category within the broader autonomous transit ecosystem.

The Level 4 (High Automation) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Level 4 (High Automation) segment is predicted to witness the highest growth rate, as transit operators and technology vendors intensify efforts to deploy fully driverless public transport services within geofenced urban zones and controlled campus environments. Maturing LiDAR sensor capabilities, advanced V2X communication integration, and AI perception improvements are enabling Level 4 systems to handle complex urban driving scenarios with increasing reliability.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share, supported by a dense cluster of active autonomous shuttle and bus pilot programs across Germany, France, Finland, the Netherlands, and the United Kingdom. Strong regulatory support for controlled autonomous vehicle testing, significant EU-funded mobility innovation programs, and the continent's well-developed public transit culture create a conducive environment for autonomous transport commercialization. European transit authorities are among the most proactive globally in integrating autonomous vehicles into planned urban mobility frameworks.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by China's aggressive deployment of autonomous bus services in designated pilot cities, Japan's societal imperative to address driver shortages in aging communities, and Singapore's sustained investments in autonomous shuttle ecosystems. Large urban populations, ambitious smart city blueprints, and government-backed commercialization timelines across the region are creating the highest concentration of autonomous transit procurement activity globally over the forecast period.

Key players in the market

Some of the key players in Autonomous Public Transport Market include Waymo, Zoox, WeRide, Pony.ai, May Mobility, EasyMile, Navya, 2getthere, Beep, Baidu Apollo, Mobileye, MOIA, Karsan, HOLON, and Via Transportation.

Key Developments:

In March 2026, Waymo announced an expanded partnership with a major European transit authority to deploy its autonomous shuttle service across a 15-kilometer dedicated corridor, marking the company's first commercial autonomous public transit operation outside the United States.

In February 2026, EasyMile received regulatory authorization from transport authorities in Singapore to operate fully driverless Level 4 shuttle services within the Jurong Lake District smart mobility zone, representing a landmark approval for commercial autonomous transit in Southeast Asia.

Vehicle Types Covered:

  • Autonomous Buses
  • Autonomous Shuttles
  • Autonomous Trams
  • Autonomous Metro/Rail Transit Systems
  • Autonomous Ferries and Water Transit Vehicles

Automation Levels Covered:

  • Level 1 (Driver Assistance)
  • Level 2 (Partial Automation)
  • Level 3 (Conditional Automation)
  • Level 4 (High Automation)
  • Level 5 (Full Automation)

Propulsion Types Covered:

  • Battery Electric Vehicles (BEV)
  • Hybrid Electric Vehicles (HEV)
  • Fuel Cell Electric Vehicles (FCEV)
  • Conventional Fuel-Based Vehicles

Connectivities Covered:

  • Vehicle-to-Vehicle (V2V)
  • Vehicle-to-Infrastructure (V2I)
  • Vehicle-to-Everything (V2X)
  • Cloud-Based Connectivity

Applications Covered:

  • Urban Public Transit
  • Airport Transportation
  • Campus Transportation
  • Smart City Mobility Services
  • Last-Mile Transportation
  • Tourism and Recreational Transit

End Users Covered:

  • Public Transit Authorities
  • Municipal Governments
  • Airport Operators
  • Educational Campuses
  • Corporate Campuses and Business Parks
  • Tourism and Leisure Operators

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Autonomous Public Transport Market, By Vehicle Type

  • 5.1 Autonomous Buses
  • 5.2 Autonomous Shuttles
  • 5.3 Autonomous Trams
  • 5.4 Autonomous Metro/Rail Transit Systems
  • 5.5 Autonomous Ferries and Water Transit Vehicles

6 Global Autonomous Public Transport Market, By Automation Level

  • 6.1 Level 1 (Driver Assistance)
  • 6.2 Level 2 (Partial Automation)
  • 6.3 Level 3 (Conditional Automation)
  • 6.4 Level 4 (High Automation)
  • 6.5 Level 5 (Full Automation)

7 Global Autonomous Public Transport Market, By Propulsion Type

  • 7.1 Battery Electric Vehicles (BEV)
  • 7.2 Hybrid Electric Vehicles (HEV)
  • 7.3 Fuel Cell Electric Vehicles (FCEV)
  • 7.4 Conventional Fuel-Based Vehicles

8 Global Autonomous Public Transport Market, By Connectivity

  • 8.1 Vehicle-to-Vehicle (V2V)
  • 8.2 Vehicle-to-Infrastructure (V2I)
  • 8.3 Vehicle-to-Everything (V2X)
  • 8.4 Cloud-Based Connectivity

9 Global Autonomous Public Transport Market, By Application

  • 9.1 Urban Public Transit
  • 9.2 Airport Transportation
  • 9.3 Campus Transportation
  • 9.4 Smart City Mobility Services
  • 9.5 Last-Mile Transportation
  • 9.6 Tourism and Recreational Transit

10 Global Autonomous Public Transport Market, By End User

  • 10.1 Public Transit Authorities
  • 10.2 Municipal Governments
  • 10.3 Airport Operators
  • 10.4 Educational Campuses
  • 10.5 Corporate Campuses and Business Parks
  • 10.6 Tourism and Leisure Operators

11 Global Autonomous Public Transport Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Waymo
  • 14.2 Zoox
  • 14.3 WeRide
  • 14.4 Pony.ai
  • 14.5 May Mobility
  • 14.6 EasyMile
  • 14.7 Navya
  • 14.8 2getthere
  • 14.9 Beep
  • 14.10 Baidu Apollo
  • 14.11 Mobileye
  • 14.12 MOIA
  • 14.13 Karsan
  • 14.14 HOLON
  • 14.15 Via Transportation

List of Tables

  • Table 1 Global Autonomous Public Transport Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Public Transport Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 3 Global Autonomous Public Transport Market Outlook, By Autonomous Buses (2023-2034) ($MN)
  • Table 4 Global Autonomous Public Transport Market Outlook, By Autonomous Shuttles (2023-2034) ($MN)
  • Table 5 Global Autonomous Public Transport Market Outlook, By Autonomous Trams (2023-2034) ($MN)
  • Table 6 Global Autonomous Public Transport Market Outlook, By Autonomous Metro/Rail Transit Systems (2023-2034) ($MN)
  • Table 7 Global Autonomous Public Transport Market Outlook, By Autonomous Ferries and Water Transit Vehicles (2023-2034) ($MN)
  • Table 8 Global Autonomous Public Transport Market Outlook, By Automation Level (2023-2034) ($MN)
  • Table 9 Global Autonomous Public Transport Market Outlook, By Level 1 (Driver Assistance) (2023-2034) ($MN)
  • Table 10 Global Autonomous Public Transport Market Outlook, By Level 2 (Partial Automation) (2023-2034) ($MN)
  • Table 11 Global Autonomous Public Transport Market Outlook, By Level 3 (Conditional Automation) (2023-2034) ($MN)
  • Table 12 Global Autonomous Public Transport Market Outlook, By Level 4 (High Automation) (2023-2034) ($MN)
  • Table 13 Global Autonomous Public Transport Market Outlook, By Level 5 (Full Automation) (2023-2034) ($MN)
  • Table 14 Global Autonomous Public Transport Market Outlook, By Propulsion Type (2023-2034) ($MN)
  • Table 15 Global Autonomous Public Transport Market Outlook, By Battery Electric Vehicles (BEV) (2023-2034) ($MN)
  • Table 16 Global Autonomous Public Transport Market Outlook, By Hybrid Electric Vehicles (HEV) (2023-2034) ($MN)
  • Table 17 Global Autonomous Public Transport Market Outlook, By Fuel Cell Electric Vehicles (FCEV) (2023-2034) ($MN)
  • Table 18 Global Autonomous Public Transport Market Outlook, By Conventional Fuel-Based Vehicles (2023-2034) ($MN)
  • Table 19 Global Autonomous Public Transport Market Outlook, By Connectivity (2023-2034) ($MN)
  • Table 20 Global Autonomous Public Transport Market Outlook, By Vehicle-to-Vehicle (V2V) (2023-2034) ($MN)
  • Table 21 Global Autonomous Public Transport Market Outlook, By Vehicle-to-Infrastructure (V2I) (2023-2034) ($MN)
  • Table 22 Global Autonomous Public Transport Market Outlook, By Vehicle-to-Everything (V2X) (2023-2034) ($MN)
  • Table 23 Global Autonomous Public Transport Market Outlook, By Cloud-Based Connectivity (2023-2034) ($MN)
  • Table 24 Global Autonomous Public Transport Market Outlook, By Application (2023-2034) ($MN)
  • Table 25 Global Autonomous Public Transport Market Outlook, By Urban Public Transit (2023-2034) ($MN)
  • Table 26 Global Autonomous Public Transport Market Outlook, By Airport Transportation (2023-2034) ($MN)
  • Table 27 Global Autonomous Public Transport Market Outlook, By Campus Transportation (2023-2034) ($MN)
  • Table 28 Global Autonomous Public Transport Market Outlook, By Smart City Mobility Services (2023-2034) ($MN)
  • Table 29 Global Autonomous Public Transport Market Outlook, By Last-Mile Transportation (2023-2034) ($MN)
  • Table 30 Global Autonomous Public Transport Market Outlook, By Tourism and Recreational Transit (2023-2034) ($MN)
  • Table 31 Global Autonomous Public Transport Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global Autonomous Public Transport Market Outlook, By Public Transit Authorities (2023-2034) ($MN)
  • Table 33 Global Autonomous Public Transport Market Outlook, By Municipal Governments (2023-2034) ($MN)
  • Table 34 Global Autonomous Public Transport Market Outlook, By Airport Operators (2023-2034) ($MN)
  • Table 35 Global Autonomous Public Transport Market Outlook, By Educational Campuses (2023-2034) ($MN)
  • Table 36 Global Autonomous Public Transport Market Outlook, By Corporate Campuses and Business Parks (2023-2034) ($MN)
  • Table 37 Global Autonomous Public Transport Market Outlook, By Tourism and Leisure Operators (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.