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市場調查報告書
商品編碼
2023969

2034年自動駕駛接駁車市場預測－按班車類型、乘客容量、應用、最終用戶和地區分類的全球分析

Autonomous Shuttles Market Forecasts to 2034 - Global Analysis By Shuttle Type (Electric Shuttles and Hybrid Shuttles), Passenger 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，預計到 2026 年，全球無人駕駛班車市場規模將達到 20 億美元，並在預測期內以 12.8% 的複合年成長率成長，到 2034 年將達到 53 億美元。

無人駕駛接駁車無需駕駛人即可沿預設路線自主運送乘客。它們利用人工智慧、先進感測器和即時導航系統，即使在都市區和受限環境中也能確保安全高效的出行。這些班車正部署在智慧城市、機場、校園和企業園區，以緩解交通堵塞、改善出行便利性並提升「最後一公里」的運輸效率。透過與公共交通系統整合並提供靈活的按需服務，無人駕駛接駁車正成為環保且經濟高效的城市交通替代方案。技術的不斷進步和相關法規的支持正在加速其在全球範圍內的普及應用。

據米內塔交通研究所稱，在美國各地的試運行期間，無人駕駛班車通常以每小時 15 至 25 英里的低速行駛，每輛車搭載 8 至 12 名乘客。

最後一公里連接的需求日益成長

在全球範圍內，對高效的最後一公里交通解決方案的需求日益成長，而自動駕駛班車被視為至關重要的選擇。傳統交通途徑往往在主要樞紐與乘客最終目的地之間留下空白。自動駕駛接駁車透過提供靈活、可靠且按需的交通服務來填補這一空白。它們能夠在擁擠的都市區和私人園區內高效運行，縮短出行時間，並提升通勤便利性。透過與現有公共交通系統整合，它們增強了交通可及性。憑藉對無縫出行和更佳乘客體驗的關注，自動駕駛班車已成為全球最後一公里交通的重要解決方案，並在智慧城市專案中加速普及應用。

高昂的初始投資成本

部署自動駕駛班車需要對車輛、人工智慧系統、感測器和配套基礎設施進行大量前期投資。這些高昂的成本是許多交通管理部門、私人公司和新興經濟體採用該技術的主要障礙。持續的維護、軟體更新和員工培訓進一步增加了成本。在發展中地區，這些財務挑戰嚴重限制了市場成長。雖然從長遠來看營運成本可以降低，但建立全自動駕駛班車網路所需的巨額前期投資仍然是一個主要障礙，限制並減緩了該技術在世界許多地區的廣泛部署。

在私立和企業校園的實施

自動駕駛班車在私人和企業園區環境中具有巨大的成長潛力。在這些可控空間內，接駁車運行可預測且安全，風險降至最低。它們能夠有效率地運送教職員、學生和訪客，同時緩解校園交通擁擠。這些車輛為傳統的接駁車服務提供了永續的替代方案，也符合環保目標。靈活的路線規劃、可調整的時間表和經濟高效的營運對私人業者來說極具吸引力。隨著企業和大學加大對智慧運輸和環保解決方案的投資，自動駕駛班車可望成為校園內主要的交通方式，既支持永續性，又能提升用戶體驗。

與傳統交通途徑的競爭

自動駕駛接駁車面臨著來自公車、計程車、共享旅遊服務和私家車的激烈競爭。現有的交通網路經濟高效、便捷易用，且用戶熟悉，使得自動駕駛接駁車難以吸引客源。用戶的出行習慣和價格敏感度可能導致自動駕駛班車普及速度放緩。此外，現有營運商正致力於提升營運效率、推動車輛電氣化以及整合數位化服務，進一步加劇了競爭。如果自動駕駛接駁車在價格、可靠性和便利性方面缺乏明顯優勢，其客流量可能持續低迷。這些競爭挑戰可能會限制市場擴張和盈利，尤其對於新參與企業，從而限制自動駕駛班車服務在城市交通市場站穩腳跟的能力。

新冠疫情的影響：

新冠疫情擾亂了自動駕駛班車市場，影響了生產、供應鏈和測試項目。旅遊限制和封鎖措施延緩了城市和校園的部署，乘客需求的下降和安全疑慮凸顯了衛生和非接觸式交通的重要性。儘管面臨這些挑戰，疫情也凸顯了無人駕駛車輛在提供保持社交距離的交通方式上的價值。在疫情恢復階段，人工智慧、自動化和自動駕駛技術的投資加速成長，使接駁車成為更安全、非接觸式城市交通的有效解決方案。這場危機促使營運模式做出調整，並再次確認了自動駕駛班車在建立彈性交通系統中的長期重要性。

在預測期內，電動穿梭巴士細分市場預計將佔據最大的市場佔有率。

由於電動班車具有環保性能、維護成本低以及與智慧城市計畫相契合等優勢，預計在預測期內，電動接駁車將佔據最大的市場佔有率。這些零排放車輛有助於實現永續性目標，並減少都市區污染。與可再生能源和公共交通網路的整合提高了效率和營運成本效益。公營和私營部門都傾向於選擇電動班車，以符合環境法規並促進環保的城市出行。憑藉能源效率高、易於擴展和易於操作等優勢，電動接駁車已成為優於混合動力接駁車的首選方案，並在全球自動駕駛交通解決方案領域佔據越來越重要的地位。

在預測期內，校園出行細分市場預計將呈現最高的複合年成長率。

在預測期內，校園交通領域預計將呈現最高的成長率，這反映出大學、企業辦公大樓和科學研究機構正在積極採用自動駕駛接駁車。可預測的校園佈局為自動駕駛接駁車的運作提供了安全可控的環境，最大限度地降低了營運風險。各機構正致力於為學生、員工和訪客提供永續且有效率的交通途徑。自動駕駛接駁車提供靈活的隨選服務，並能輕鬆融入校園基礎設施，從而提升了便利性和效率。對智慧校園和環保交通解決方案的持續投入，正在推動這一領域的快速發展。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這主要得益於其強大的技術基礎設施、有利的政府政策以及對自動駕駛出行技術的早期應用。該地區擁有成熟的班車製造商、科技公司以及遍布校園和城市的眾多試驗計畫，這些都為自動駕駛班車的快速部署提供了支持。對智慧城市、人工智慧驅動的交通運輸以及電動車整合的大量投資正在推動市場擴張。公眾意識的提高、法律規範的完善以及對永續城市交通的重視，都進一步鞏固了該地區的領先地位。憑藉完善的城市交通系統和對高效「最後一公里」出行日益成長的需求，北美已成為全球最大的自動駕駛班車市場，為其他地區樹立了標竿。

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，這主要得益於快速的都市化、政府主導的智慧城市項目以及對先進出行解決方案投資的增加。中國、日本和韓國等主要國家正在城市、校園和機場開展試點項目，推動了自動駕駛接駁車的普及。對永續交通和「最後一公里」連結的重視提升了市場潛力。完善的技術基礎設施、有利的監管支援以及公私合作正在加速自動駕駛班車的快速部署。該地區不斷擴張的城市中心和對創新的重視，使亞太地區成為成長最快的市場，並為自動駕駛接駁車的全球擴張提供了巨大機會。

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  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

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
  • 主要企業市佔率分析
  • 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：依接駁車類型分類

  • 電動穿梭巴士
  • 混合動力穿梭巴士

第6章：全球自動駕駛接駁車市場：依乘客容量分類

  • 10人或以下
  • 10-20人

第7章 全球自動駕駛接駁車市場：按應用分類

  • 大眾運輸
  • 校園流動性
  • 飛機場
  • 物流和工業園區
  • 房地產和封閉社區

第8章 全球自動駕駛接駁車市場：依最終用戶分類

  • 地方政府和智慧城市
  • 私人車隊營運商
  • 大學和研究機構

第9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10章 戰略市場資訊

  • 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11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12章：公司簡介

  • Waymo LLC
  • Zoox Inc.
  • Nuro Inc.
  • EasyMile SAS
  • May Mobility Inc.
  • Baidu Inc.
  • Pony.ai Inc.
  • WeRide Inc.
  • Beep Inc.
  • 2getthere BV
  • Navya
  • Toyota Motor Corporation
  • ZF Friedrichshafen AG
  • Aurrigo International Ltd.
  • Zhengzhou Yutong Bus Co.
  • Cruise
  • Local Motors
  • Coast Autonomous
Product Code: SMRC35181

According to Stratistics MRC, the Global Autonomous Shuttles Market is accounted for $2.0 billion in 2026 and is expected to reach $5.3 billion by 2034 growing at a CAGR of 12.8% during the forecast period. Self-operating shuttles are vehicles that transport passengers autonomously along set routes without requiring a driver. Utilizing AI, advanced sensors, and real-time navigation systems, they ensure safe and efficient movement in urban or restricted environments. These shuttles are being deployed in smart cities, airports, campuses, and corporate zones to ease congestion, enhance mobility, and improve last-mile transport. By integrating with public transit and offering flexible on-demand services, autonomous shuttles present an eco-friendly and cost-efficient alternative for urban transportation. Ongoing technological improvements and supportive regulations are accelerating their worldwide adoption.

According to the Mineta Transportation Institute, In pilot deployments across the U.S., autonomous shuttles typically operated at low speeds of 15-25 mph and carried 8-12 passengers per vehicle.

Market Dynamics:

Driver:

Growing need for last-mile connectivity

Worldwide, there is growing demand for effective last-mile transit solutions, positioning autonomous shuttles as a vital option. Conventional transportation often leaves gaps between main hubs and passengers' final destinations. Self-driving shuttles fill this void by providing flexible, reliable, and on-demand transport. They operate efficiently in crowded urban zones and private campuses, shortening travel time and improving commuter convenience. By integrating with existing public transit systems, they enhance accessibility. The focus on seamless mobility and improved passenger experiences establishes autonomous shuttles as an essential solution for last-mile transportation globally, encouraging adoption in smart city initiatives.

Restraint:

High initial investment costs

Implementing autonomous shuttles demands considerable initial expenditure for vehicles, AI systems, sensors, and supportive infrastructure. Such high costs discourage many transport authorities, private companies, and emerging economies from adoption. Ongoing maintenance, software updates, and staff training increase expenses further. In developing regions, these financial challenges significantly limit market growth. Although operational cost savings are possible over time, the heavy upfront investment needed to build a complete autonomous shuttle network remains a major obstacle, restricting broader adoption and slowing deployment in many areas worldwide.

Opportunity:

Adoption in private and corporate campuses

Autonomous shuttles present significant growth potential in private and corporate campus settings. These controlled spaces ensure predictable and safe shuttle operations, minimizing risk. They efficiently transport staff, students, and visitors while reducing internal congestion. Offering sustainable alternatives to conventional shuttle services, these vehicles align with environmental goals. Flexible routes, adjustable schedules, and cost-effective operation make them appealing to private operators. As corporations and universities invest in smart mobility and eco-friendly solutions, autonomous shuttles have a promising opportunity to become a key mode of internal campus transportation, supporting sustainability and enhancing commuter convenience.

Threat:

Competition from conventional transport

Autonomous shuttles contend with strong competition from buses, taxis, ride-hailing services, and private cars. Established transport networks are cost-effective, convenient, and familiar, making it difficult for self-driving shuttles to attract users. Customer habits and price sensitivity can slow adoption. Traditional operators are also enhancing efficiency, electrifying fleets, and integrating digital services, intensifying competition. Without clear benefits in affordability, reliability, or convenience, autonomous shuttles may face low ridership. Such competitive challenges could constrain market expansion and profitability, particularly for new entrants, limiting the ability of autonomous shuttle services to establish a strong foothold in urban transportation markets.

Covid-19 Impact:

The COVID-19 outbreak disrupted the autonomous shuttle market by affecting production, supply chains, and testing programs. Travel restrictions and lockdown measures delayed deployment across cities and campuses, while lower passenger demand and safety concerns emphasized hygiene and contactless mobility. Despite these challenges, the pandemic underscored the value of driverless vehicles in providing socially distanced transportation. In the recovery phase, investments in AI, automation, and autonomous technologies have accelerated, positioning shuttles as effective solutions for safer, contactless urban transit. The crisis prompted operational adjustments and reinforced the long-term relevance of autonomous shuttles in resilient transportation systems.

The electric shuttles segment is expected to be the largest during the forecast period

The electric shuttles segment is expected to account for the largest market share during the forecast period because of their eco-friendly performance, lower upkeep requirements, and alignment with smart city programs. These zero-emission vehicles support sustainability targets and help decrease urban pollution. Integration with renewable energy and public transport networks improves efficiency and operational cost-effectiveness. Both public authorities and private operators favour electric shuttles to comply with environmental regulations and promote green urban mobility. Their benefits, including energy efficiency, ease of scaling, and simpler operation, position electric shuttles as the leading choice over hybrid shuttles, reinforcing their prominence in autonomous transportation solutions globally.

The campus mobility segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the campus mobility segment is predicted to witness the highest growth rate, reflecting strong adoption in universities, corporate offices, and research facilities. Predictable campus layouts provide safe and controlled conditions for self-driving shuttle operations, minimizing operational risks. Institutions are focusing on sustainable, efficient transportation for students, employees, and visitors. Autonomous shuttles offer flexible, on-demand services and integrate easily with campus infrastructure, improving convenience and efficiency. Growing investment in smart campuses and environmentally friendly transport solutions fuels rapid expansion in this segment.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by robust technological infrastructure, favorable government policies, and early adoption of self-driving mobility. The region benefits from established shuttle manufacturers, tech companies, and numerous pilot programs across campuses and cities, supporting rapid deployment. Significant investments in smart cities, AI-enabled transport, and electric vehicle integration boost market expansion. Public awareness, regulatory frameworks, and a focus on sustainable urban mobility reinforce regional dominance. Well-developed urban transit systems and rising demand for efficient last-mile connectivity position North America as the largest market globally for autonomous shuttles, setting a benchmark for other regions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urbanization, government-backed smart city programs, and rising investment in advanced mobility solutions. Leading nations like China, Japan, and South Korea are conducting pilot implementations in cities, campuses, and airports, boosting adoption rates. Strong emphasis on sustainable transport and last-mile connectivity enhances market potential. Well-developed technology infrastructure, favourable regulatory support, and collaboration between public and private entities facilitate quick shuttle deployment. The region's expanding urban centers and focus on innovation make Asia Pacific the highest growth rate market, representing a significant opportunity for autonomous shuttle expansion worldwide.

Key players in the market

Some of the key players in Autonomous Shuttles Market include Waymo LLC, Zoox Inc., Nuro Inc., EasyMile SAS, May Mobility Inc., Baidu Inc., Pony.ai Inc., WeRide Inc., Beep Inc., 2getthere B.V., Navya, Toyota Motor Corporation, ZF Friedrichshafen AG, Aurrigo International Ltd., Zhengzhou Yutong Bus Co., Cruise, Local Motors and Coast Autonomous.

Key Developments:

In September 2025, Beep, Inc and ADASTEC announced a formal partnership to accelerate the safe deployment of shared autonomous transportation at scale. Through this alliance, the companies will combine Beep's expertise in planning, deploying, integrating, and operating autonomous mobility networks with ADASTEC's advanced automated driving system (ADS) technology and OEM partnerships.

In September 2025, Waymo is teaming up with Lyft to launch robotaxis in Nashville by 2026. Under the plan, passengers will initially book rides through Waymo's app, with Lyft's app integration to follow. Lyft will manage the fleet through its Flexdrive unit. This includes handling depots, maintenance, and charging. The partnership is designed to start with a smaller fleet and then grow to hundreds of vehicles as the service scales.

In April 2025, Toyota Motor Corporation and Waymo reached a preliminary agreement to explore a collaboration focused on accelerating the development and deployment of autonomous driving technologies. Woven by Toyota will also join the potential collaboration as Toyota's strategic enabler, contributing its strengths in advanced software and mobility innovation.

Shuttle Types Covered:

  • Electric Shuttles
  • Hybrid Shuttles

Passenger Capacities Covered:

  • Up to 10 Passengers
  • 10-20 Passengers

Applications Covered:

  • Public Transit
  • Campus Mobility
  • Airports
  • Logistics & Industrial Parks
  • Real Estate & Gated Communities

End Users Covered:

  • Municipalities & Smart Cities
  • Private Fleet Operators
  • Universities & Research Institutions

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 Shuttles Market, By Shuttle Type

  • 5.1 Electric Shuttles
  • 5.2 Hybrid Shuttles

6 Global Autonomous Shuttles Market, By Passenger Capacity

  • 6.1 Up to 10 Passengers
  • 6.2 10-20 Passengers

7 Global Autonomous Shuttles Market, By Application

  • 7.1 Public Transit
  • 7.2 Campus Mobility
  • 7.3 Airports
  • 7.4 Logistics & Industrial Parks
  • 7.5 Real Estate & Gated Communities

8 Global Autonomous Shuttles Market, By End User

  • 8.1 Municipalities & Smart Cities
  • 8.2 Private Fleet Operators
  • 8.3 Universities & Research Institutions

9 Global Autonomous Shuttles Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Waymo LLC
  • 12.2 Zoox Inc.
  • 12.3 Nuro Inc.
  • 12.4 EasyMile SAS
  • 12.5 May Mobility Inc.
  • 12.6 Baidu Inc.
  • 12.7 Pony.ai Inc.
  • 12.8 WeRide Inc.
  • 12.9 Beep Inc.
  • 12.10 2getthere B.V.
  • 12.11 Navya
  • 12.12 Toyota Motor Corporation
  • 12.13 ZF Friedrichshafen AG
  • 12.14 Aurrigo International Ltd.
  • 12.15 Zhengzhou Yutong Bus Co.
  • 12.16 Cruise
  • 12.17 Local Motors
  • 12.18 Coast Autonomous

List of Tables

  • Table 1 Global Autonomous Shuttles Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Shuttles Market Outlook, By Shuttle Type (2023-2034) ($MN)
  • Table 3 Global Autonomous Shuttles Market Outlook, By Electric Shuttles (2023-2034) ($MN)
  • Table 4 Global Autonomous Shuttles Market Outlook, By Hybrid Shuttles (2023-2034) ($MN)
  • Table 5 Global Autonomous Shuttles Market Outlook, By Passenger Capacity (2023-2034) ($MN)
  • Table 6 Global Autonomous Shuttles Market Outlook, By Up to 10 Passengers (2023-2034) ($MN)
  • Table 7 Global Autonomous Shuttles Market Outlook, By 10-20 Passengers (2023-2034) ($MN)
  • Table 8 Global Autonomous Shuttles Market Outlook, By Application (2023-2034) ($MN)
  • Table 9 Global Autonomous Shuttles Market Outlook, By Public Transit (2023-2034) ($MN)
  • Table 10 Global Autonomous Shuttles Market Outlook, By Campus Mobility (2023-2034) ($MN)
  • Table 11 Global Autonomous Shuttles Market Outlook, By Airports (2023-2034) ($MN)
  • Table 12 Global Autonomous Shuttles Market Outlook, By Logistics & Industrial Parks (2023-2034) ($MN)
  • Table 13 Global Autonomous Shuttles Market Outlook, By Real Estate & Gated Communities (2023-2034) ($MN)
  • Table 14 Global Autonomous Shuttles Market Outlook, By End User (2023-2034) ($MN)
  • Table 15 Global Autonomous Shuttles Market Outlook, By Municipalities & Smart Cities (2023-2034) ($MN)
  • Table 16 Global Autonomous Shuttles Market Outlook, By Private Fleet Operators (2023-2034) ($MN)
  • Table 17 Global Autonomous Shuttles Market Outlook, By Universities & Research Institutions (2023-2034) ($MN)

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