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市場調查報告書
商品編碼
2074940

2034年自動駕駛接駁車市場預測－全球分析（按車輛類型、自動駕駛等級、推進方式、座位數、應用、最終用戶和地區分類）

Autonomous Shuttle Market Forecasts to 2034 - Global Analysis By Vehicle Type (Passenger Shuttle, Cargo Shuttle, and Mixed-Use Shuttle), Autonomy Level, Propulsion Type, Seating Capacity, 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，全球無人駕駛接駁車市場預計將在 2026 年達到 21 億美元，到 2034 年達到 148 億美元，在預測期內複合年成長率為 27.6%。

自動駕駛接駁車是專為低速、固定路線或動態公共交通運作而設計的電動客運車輛，適用於特定營運設計區域（ODD），例如校園、機場、商業園區、城市交通走廊和旅遊景點。這些車輛整合了一套全面的感測器套件，包括LiDAR、雷達、攝影機、超音波感測器和其他技術，以及人工智慧驅動的感知和決策系統，使其能夠沿著預設路線行駛，無需持續的人工駕駛員干預。

人事費用和駕駛人正在加速自動駕駛交通工具的引入。

公共交通、校園交通和機場地面交通領域長期存在的商業司機短缺問題，為引入自動駕駛接駁車提供了充分的營運依據。不斷上漲的人事費用是運輸業者的一項主要支出，而能夠按照指定路線行駛且無需司機的自動駕駛車輛將從根本上改善成本結構。自動駕駛班車使運輸業者能夠在不相應增加人員的情況下，維持服務頻率和覆蓋範圍。

安全認證的複雜性和公眾信任的障礙正在減緩商業規模的擴張。

由於缺乏普遍認可的安全認證框架，自動駕駛接駁車的大規模商業部署之路舉步維艱，營運商不得不在不同地區經歷不同的核准流程。這些流程耗時費力，缺乏統一的要求。大眾對全自動駕駛車輛在公共道路上行駛的接受度仍然參差不齊，乘客的信任度因人口統計和文化背景而異。涉及自動駕駛測試車輛（即使是與自動駕駛車輛類型無關的車輛）的高調安全事故，也常常被媒體過度渲染，從而削弱了公眾對自動駕駛交通的整體信任。

智慧城市中的交通整合與校園交通生態系統的引入

在封閉、基礎設施管控完善的環境中，自動駕駛接駁車找到了理想的部署環境。這些環境營運複雜度低，且能快速展現其價值。大學校園、企業總部、商業園區、主題樂園和機場空側區域等場所，都具備可預測的路線、完善的門禁系統以及樂於接受新型出行方式的用戶層，因此是理想的初始部署地點。這些部署能夠產生豐富的營運數據，加速安全檢驗，並支援逐步擴展到更複雜的城市環境。

該技術在惡劣天氣條件下的不成熟限制了其運作可靠性。

自動駕駛接駁車的感測器系統，特別是基於LiDAR和攝影機的系統，在暴雨、降雪、大霧和低角度陽光等惡劣天氣條件下性能顯著下降，導致障礙物偵測範圍和分類精度降低。這些限制制約了營運時間和地理部署的柔軟性，造成了可靠性差距。這不僅削弱了用戶的信心，也使需要全年營運的運輸業者的服務規劃變得更加複雜。連網自動駕駛車隊的網路安全漏洞也構成了一種新的營運風險，需要持續的安全投入。

新型冠狀病毒（COVID-19）的影響：

新冠疫情對自動駕駛接駁車市場產生了複雜多元的影響。客運量驟降，人們對封閉車廂內病原體傳播的擔憂也抑制了共用自動駕駛車輛的使用意願，導致共用車輛營運需求大幅下降。然而，疫情同時也加速了人們對自動駕駛車輛在非接觸式貨物運輸、醫療物資運輸以及為受封鎖影響地區提供基本服務等方面的應用興趣。疫情過後，自動駕駛接駁車業者紛紛投資高性能空氣過濾系統和非接觸式乘客介面，以解決衛生問題。這在一定程度上恢復了乘客的信心，並為市場的復甦和擴張奠定了更安全的基礎。

在預測期內，L4級自動駕駛接駁車細分市場預計將佔據最大的市場佔有率。

預計在預測期內，L4級自動駕駛細分市場將佔據最大的市場佔有率。這反映了業界對在地理區域分類明確、運行特性清晰的環境中運作的全自動駕駛車輛的集中應用。在指定的運行設計區域內進行L4級運行可以降低營運商的人事費用，這是推動自動駕駛班車投資的主要經濟因素。領先的製造商正致力於將其商業平台打造為具備L4級功能，法律規範也朝著逐步接受在受控公共環境中進行L4級運作的方向發展。

預計在預測期內，「校園和私人設施部署」細分市場將呈現最高的複合年成長率。

在預測期內，「園區和私人設施部署」細分市場預計將呈現最高的成長率，因為可控的私人環境尤其適合率先開展具有商業性可行性的自動駕駛班車營運。企業園區、醫院綜合大樓、物流園區和主題樂園等場所提供地理圍籬和基礎設施控制的營運環境，既能最大限度地提高自動駕駛系統的可靠性，又能最大限度地降低監管複雜性。私人業者熱衷於投資自動駕駛班車基礎設施，以提高員工出行效率並降低公司車輛的營運成本。

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。這得歸功於其先進的法規結構，例如法國、德國、芬蘭和荷蘭已批准在公共道路上運營自動駕駛班車服務。歐盟正努力根據《歐盟自動駕駛車輛法規》協調各成員國的相關規定，以消除認證方面的差異，並為自動駕駛交通的部署創建大規模、更統一的市場。

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，這主要得益於中國積極推行智慧聯網汽車商業化的政策支持以及對自動駕駛汽車測試基礎設施的大規模投資。日本的自動駕駛公共交通策略藍圖包括為在校園和旅遊區部署自動駕駛班車提供大量資金。韓國和新加坡正在推動自動駕駛班車試驗計畫，作為其智慧城市和智慧交通國家戰略的一部分。

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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 全球自動駕駛接駁車市場：依車輛類型分類

  • 乘客接駁車
  • 貨運穿梭車
  • 多用途接駁車

第6章：全球自動駕駛接駁車市場：依自動駕駛等級分類

  • 3級自動化
  • 4級自動化
  • 5級自動化

第7章 全球自主穿梭巴士市場：依推進類型分類

  • 電池驅動穿梭機
  • 混合動力穿梭巴士
  • 氫燃料電池穿梭機

第8章：全球自動駕駛接駁車市場：依座位容量分類

  • 最多8人
  • 載客量：9-15人
  • 15人或以上

第9章 全球自動駕駛接駁車市場：按應用分類

  • 大眾運輸
  • 機場接送
  • 校園交通
  • 工業和製造設施
  • 物流/倉儲業
  • 旅遊和休閒設施
  • 醫療機構
  • 智慧城市交通

第10章 全球自動駕駛接駁車市場：依最終用戶分類

  • 大眾運輸
  • 飛機場
  • 教育機構
  • 企業園區
  • 工業設施
  • 物流運營商
  • 醫療機構
  • 地方政府和智慧城市項目

第11章 全球自動駕駛接駁車市場：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

  • EasyMile
  • Navya Mobility
  • May Mobility
  • Aurrigo International plc
  • Karsan Otomotiv
  • 2getthere
  • HOLON GmbH
  • Oxa
  • Beep Inc.
  • ADASTEC Corp.
  • Sensible 4
  • Yutong Bus Co., Ltd.
  • Baidu Apollo
  • Toyota Motor Corporation
  • Volkswagen Group
Product Code: SMRC37460

According to Stratistics MRC, the Global Autonomous Shuttle Market is accounted for $2.1 billion in 2026 and is expected to reach $14.8 billion by 2034, growing at a CAGR of 27.6% during the forecast period. Autonomous shuttles are self-driving electric passenger vehicles designed for low-speed, fixed-route or dynamic public transportation operations within defined operational design domains including campuses, airports, business parks, urban transit corridors, and tourist areas. These vehicles integrate a comprehensive sensor suite encompassing LiDAR, radar, cameras, and ultrasonic detectors with AI-powered perception and decision-making systems to navigate predetermined routes without continuous human driver input.

Market Dynamics:

Driver:

Labor cost pressures and driver shortages accelerating autonomous transit adoption

Persistent commercial driver shortages across public transit, campus mobility, and airport ground transportation sectors are creating compelling operational justifications for autonomous shuttle deployment. Rising labor costs represent the dominant expense category for transit operators, and autonomous vehicles capable of operating on defined routes without drivers offer transformative cost structure improvements. Autonomous shuttles offer transit agencies a pathway to maintaining service frequency and coverage without proportional headcount growth.

Restraint:

Safety certification complexity and public trust barriers delaying commercial scaling

The pathway to commercial autonomous shuttle deployment at scale is obstructed by the absence of universally accepted safety certification frameworks, leaving operators to navigate jurisdiction-by-jurisdiction approval processes that are slow, resource-intensive, and inconsistently demanding. Public acceptance of fully driverless vehicle operations on shared roadways remains uneven, with rider comfort levels varying significantly across demographic and cultural contexts. High-profile safety incidents involving autonomous test vehicles, even in unrelated vehicle categories, create disproportionate media amplification that undermines public confidence in autonomous transit broadly.

Opportunity:

Smart city transit integration and campus mobility ecosystem deployment

Autonomous shuttles are finding highly receptive deployment environments in enclosed, infrastructure-controlled settings where operational complexity is limited and value demonstration is rapid. University campuses, corporate headquarters, business parks, theme parks, and airport airside environments provide ideal initial deployment contexts characterized by predictable routes, controlled access, and captive user populations open to novel mobility experiences. These deployments generate rich operational data that accelerates safety validation and supports progressive expansion into higher-complexity urban environments.

Threat:

Technological immaturity in adverse weather conditions limiting operational reliability

Autonomous shuttle sensor systems, particularly LiDAR and camera-based perception, demonstrate measurable performance degradation in adverse weather conditions including heavy rainfall, snow, fog, and low-angle sunlight, which reduce obstacle detection ranges and classification accuracy. These limitations constrain operational hours and geographic deployment flexibility, creating reliability gaps that erode user confidence and complicate service planning for transit operators requiring year-round operational commitments. Cybersecurity vulnerabilities in networked autonomous vehicle fleets also represent an emerging operational risk requiring continuous security investment.

Covid-19 Impact:

The COVID-19 pandemic created contradictory effects on the autonomous shuttle market. Shared vehicle operations faced acute demand collapse as passenger transit volumes plummeted and concerns about pathogen transmission in enclosed vehicles suppressed willingness to use shared autonomous vehicles. However, the crisis simultaneously accelerated interest in autonomous vehicles for contactless cargo delivery, medical supply transport, and essential service support in areas under lockdown. Post-pandemic, autonomous shuttle operators have invested in enhanced air filtration systems and touchless boarding interfaces that address hygiene concerns, partially restoring passenger confidence and creating a safer platform for the market's recovery and expansion phase.

The Level 4 Autonomous Shuttles segment is expected to be the largest during the forecast period

The Level 4 Autonomous segment is expected to account for the largest market share during the forecast period, reflecting industry deployment concentration in fully driverless vehicles operating within geofenced, operationally well-characterized environments. Level 4 operation within designated operational design domains provides operators with the labor cost elimination that represents the primary economic driver of autonomous shuttle investment. Leading manufacturers have concentrated their commercial platforms at Level 4 capability, and regulatory frameworks have progressively accommodated Level 4 operations in controlled public environments.

The Campus and Private Facility Deployments segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Campus and Private Facility Deployments segment is predicted to witness the highest growth rate, driven by the exceptional suitability of controlled private environments for pioneering commercially viable autonomous shuttle operations. Corporate campuses, hospital complexes, logistics parks, and theme parks provide the geofenced, infrastructure-managed operational conditions that maximize autonomous system reliability while minimizing regulatory complexity. Private operators are willing to invest in autonomous shuttle infrastructure to enhance employee mobility, reduce internal vehicle fleet costs.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share, supported by progressive regulatory frameworks in France, Germany, Finland, and the Netherlands that have authorized public road autonomous shuttle operations. The European Union's regulatory harmonization efforts under the EU Automated Vehicles Regulation are reducing member state-level certification fragmentation, creating a larger unified market for autonomous transit deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, propelled by China's aggressive policy support for intelligent connected vehicle commercialization and extensive investment in autonomous vehicle testing infrastructure. Japan's strategic roadmap for autonomous public transit includes significant funding for campus and tourist area autonomous shuttle deployments. South Korea and Singapore are advancing autonomous shuttle pilot programs as part of their smart city and smart transportation national strategies.

Key players in the market

Some of the key players in Autonomous Shuttle Market include EasyMile, Navya Mobility, May Mobility, Aurrigo International plc, Karsan Otomotiv, 2getthere, HOLON GmbH, Oxa, Beep Inc., ADASTEC Corp., Sensible 4, Yutong Bus Co., Ltd., Baidu Apollo, Toyota Motor Corporation, and Volkswagen Group.

Key Developments:

In March 2026, May Mobility launched the first fully public autonomous shuttle service in Hiroshima, Japan, in partnership with a major Japanese automotive manufacturer and local transit authorities. The service operates across a 4.2-kilometer urban corridor using the company's Multi-Policy Decision Making AI system and has carried over 10,000 passengers in its inaugural month.

In February 2026, EasyMile secured a contract with Munich Airport to deploy a fleet of eight EZ10 autonomous electric shuttles for airside passenger transfer operations, replacing conventional diesel-powered bus services across the airport's restricted vehicle zones. The deployment represents one of the largest commercial autonomous shuttle installations at a European airport.

Vehicle Types Covered:

  • Passenger Shuttle
  • Cargo Shuttle
  • Mixed-Use Shuttle

Autonomy Levels Covered:

  • Level 3 Automation
  • Level 4 Automation
  • Level 5 Automation

Propulsion Types Covered:

  • Battery Electric Shuttle
  • Hybrid Electric Shuttle
  • Hydrogen Fuel Cell Shuttle

Seating Capacities Covered:

  • Up to 8 Passengers
  • 9-15 Passengers
  • More than 15 Passengers

Applications Covered:

  • Public Transportation
  • Airport Transportation
  • Campus Transportation
  • Industrial & Manufacturing Facilities
  • Logistics & Warehousing
  • Tourism & Recreational Areas
  • Healthcare Facilities
  • Smart City Mobility

End Users Covered:

  • Public Transit Authorities
  • Airports
  • Educational Campuses
  • Corporate Campuses
  • Industrial Facilities
  • Logistics Providers
  • Healthcare Institutions
  • Municipalities & Smart City Projects

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 Shuttle Market, By Vehicle Type

  • 5.1 Passenger Shuttle
  • 5.2 Cargo Shuttle
  • 5.3 Mixed-Use Shuttle

6 Global Autonomous Shuttle Market, By Autonomy Level

  • 6.1 Level 3 Automation
  • 6.2 Level 4 Automation
  • 6.3 Level 5 Automation

7 Global Autonomous Shuttle Market, By Propulsion Type

  • 7.1 Battery Electric Shuttle
  • 7.2 Hybrid Electric Shuttle
  • 7.3 Hydrogen Fuel Cell Shuttle

8 Global Autonomous Shuttle Market, By Seating Capacity

  • 8.1 Up to 8 Passengers
  • 8.2 9-15 Passengers
  • 8.3 More than 15 Passengers

9 Global Autonomous Shuttle Market, By Application

  • 9.1 Public Transportation
  • 9.2 Airport Transportation
  • 9.3 Campus Transportation
  • 9.4 Industrial & Manufacturing Facilities
  • 9.5 Logistics & Warehousing
  • 9.6 Tourism & Recreational Areas
  • 9.7 Healthcare Facilities
  • 9.8 Smart City Mobility

10 Global Autonomous Shuttle Market, By End User

  • 10.1 Public Transit Authorities
  • 10.2 Airports
  • 10.3 Educational Campuses
  • 10.4 Corporate Campuses
  • 10.5 Industrial Facilities
  • 10.6 Logistics Providers
  • 10.7 Healthcare Institutions
  • 10.8 Municipalities & Smart City Projects

11 Global Autonomous Shuttle 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 EasyMile
  • 14.2 Navya Mobility
  • 14.3 May Mobility
  • 14.4 Aurrigo International plc
  • 14.5 Karsan Otomotiv
  • 14.6 2getthere
  • 14.7 HOLON GmbH
  • 14.8 Oxa
  • 14.9 Beep Inc.
  • 14.10 ADASTEC Corp.
  • 14.11 Sensible 4
  • 14.12 Yutong Bus Co., Ltd.
  • 14.13 Baidu Apollo
  • 14.14 Toyota Motor Corporation
  • 14.15 Volkswagen Group

List of Tables

  • Table 1 Global Autonomous Shuttle Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Shuttle Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 3 Global Autonomous Shuttle Market Outlook, By Passenger Shuttle (2023-2034) ($MN)
  • Table 4 Global Autonomous Shuttle Market Outlook, By Cargo Shuttle (2023-2034) ($MN)
  • Table 5 Global Autonomous Shuttle Market Outlook, By Mixed-Use Shuttle (2023-2034) ($MN)
  • Table 6 Global Autonomous Shuttle Market Outlook, By Autonomy Level (2023-2034) ($MN)
  • Table 7 Global Autonomous Shuttle Market Outlook, By Level 3 Automation (2023-2034) ($MN)
  • Table 8 Global Autonomous Shuttle Market Outlook, By Level 4 Automation (2023-2034) ($MN)
  • Table 9 Global Autonomous Shuttle Market Outlook, By Level 5 Automation (2023-2034) ($MN)
  • Table 10 Global Autonomous Shuttle Market Outlook, By Propulsion Type (2023-2034) ($MN)
  • Table 11 Global Autonomous Shuttle Market Outlook, By Battery Electric Shuttle (2023-2034) ($MN)
  • Table 12 Global Autonomous Shuttle Market Outlook, By Hybrid Electric Shuttle (2023-2034) ($MN)
  • Table 13 Global Autonomous Shuttle Market Outlook, By Hydrogen Fuel Cell Shuttle (2023-2034) ($MN)
  • Table 14 Global Autonomous Shuttle Market Outlook, By Seating Capacity (2023-2034) ($MN)
  • Table 15 Global Autonomous Shuttle Market Outlook, By Up to 8 Passengers (2023-2034) ($MN)
  • Table 16 Global Autonomous Shuttle Market Outlook, By 9-15 Passengers (2023-2034) ($MN)
  • Table 17 Global Autonomous Shuttle Market Outlook, By More than 15 Passengers (2023-2034) ($MN)
  • Table 18 Global Autonomous Shuttle Market Outlook, By Application (2023-2034) ($MN)
  • Table 19 Global Autonomous Shuttle Market Outlook, By Public Transportation (2023-2034) ($MN)
  • Table 20 Global Autonomous Shuttle Market Outlook, By Airport Transportation (2023-2034) ($MN)
  • Table 21 Global Autonomous Shuttle Market Outlook, By Campus Transportation (2023-2034) ($MN)
  • Table 22 Global Autonomous Shuttle Market Outlook, By Industrial & Manufacturing Facilities (2023-2034) ($MN)
  • Table 23 Global Autonomous Shuttle Market Outlook, By Logistics & Warehousing (2023-2034) ($MN)
  • Table 24 Global Autonomous Shuttle Market Outlook, By Tourism & Recreational Areas (2023-2034) ($MN)
  • Table 25 Global Autonomous Shuttle Market Outlook, By Healthcare Facilities (2023-2034) ($MN)
  • Table 26 Global Autonomous Shuttle Market Outlook, By Smart City Mobility (2023-2034) ($MN)
  • Table 27 Global Autonomous Shuttle Market Outlook, By End User (2023-2034) ($MN)
  • Table 28 Global Autonomous Shuttle Market Outlook, By Public Transit Authorities (2023-2034) ($MN)
  • Table 29 Global Autonomous Shuttle Market Outlook, By Airports (2023-2034) ($MN)
  • Table 30 Global Autonomous Shuttle Market Outlook, By Educational Campuses (2023-2034) ($MN)
  • Table 31 Global Autonomous Shuttle Market Outlook, By Corporate Campuses (2023-2034) ($MN)
  • Table 32 Global Autonomous Shuttle Market Outlook, By Industrial Facilities (2023-2034) ($MN)
  • Table 33 Global Autonomous Shuttle Market Outlook, By Logistics Providers (2023-2034) ($MN)
  • Table 34 Global Autonomous Shuttle Market Outlook, By Healthcare Institutions (2023-2034) ($MN)
  • Table 35 Global Autonomous Shuttle Market Outlook, By Municipalities & Smart City Projects (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.