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市場調查報告書
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1904655

2032年自動駕駛穿梭車市場預測：全球分析（按組件、自動駕駛等級、推進方式、應用、最終用戶和地區分類）

Autonomous Shuttle Vehicles Market Forecasts to 2032 - Global Analysis By Component, Level of Autonomy, Propulsion, 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 的研究，預計到 2025 年，全球無人駕駛穿梭巴士市場規模將達到 1.774 億美元，到 2032 年將達到 7.731 億美元，預測期內複合年成長率為 20.2%。

自動駕駛穿梭巴士是專為都市區和校園環境中的短途共用出行而設計的自動駕駛電動交通工具。它們配備LiDAR、雷達、攝影機和人工智慧導航系統，無需人類駕駛人即可提供安全、高效且環保的交通服務。這些穿梭巴士通常速度較慢，與智慧基礎設施相連，並針對乘客的舒適度進行了最佳化。它們在智慧城市建設、最後一公里出行和緩解交通堵塞方面發揮關鍵作用，同時也支持永續且便利的公共交通模式。

最後一公里出行解決方案的需求

對高效「最後一公里」出行解決方案日益成長的需求是推動自動駕駛接駁車市場發展的主要動力。都市區擁擠、停車基礎設施有限以及智慧城市建設的推進，正促使運輸企業和私人業者採用自動駕駛接駁車進行短途出行。出於對經濟高效且低排放交通方式的需求，這些車輛改善了交通樞紐與最終目的地之間的連結。它們在校園、機場和商業園區等場所的適用性，進一步推動了其普及性。

監管和安全核准障礙

監管和安全核准方面的障礙嚴重限制了市場成長，因為自動駕駛班車的部署需要遵守複雜的交通法規。由於缺乏統一的全球標準，各地核准不盡相同，這延緩了商業化進程。大量的測試、認證和安全檢驗增加了開發時間和成本。對於營運商而言，責任框架和保險要求的不確定性也帶來了進一步的風險。這些因素共同導致大規模部署，尤其是在公共道路上的混合交通環境中，被推遲。

智慧校園與都市區部署

智慧校園和都市區部署為自動駕駛班車市場帶來了強勁的成長機會。大學校園、工業園區、機場和智慧城區等可控環境是自動駕駛出行技術的理想測試地點。在數位化基礎設施、物聯網整合和永續性目標的推動下，這些場所的監管門檻較低，有利於科技的快速普及。在這些環境中成功的先導計畫可以擴展到更廣泛的城市網路，從而為製造商和出行服務供應商創造長期的商業機會。

公共接受度和問責制

公眾接受度和責任問題對市場擴張構成重大威脅。自動駕駛班車高度依賴大眾對其安全性和可靠性的信任，而事故或系統故障可能會破壞這種信任。人們對演算法決策以及發生事故時的責任歸屬的擔憂可能會導致推廣阻力。原始設備製造商 (OEM)、軟體供應商和營運商之間責任分類的不確定性進一步加劇了推廣的複雜性。負面的公眾輿論可能會延遲監管核准，並導致投資決策的延遲。

新冠疫情的影響

新冠疫情對自動駕駛接駁車市場產生了複雜的影響。短期內，生產、測試和試驗計畫的中斷減緩了其普及速度。然而，疫情也凸顯了對非接觸式和自動化出行解決方案的需求。疫情後，人們對自動駕駛班車的興趣重燃，這得益於對駕駛人依賴性的降低以及對更安全出行方式的日益關注。智慧城市投資和出行創新項目的復甦正在推動市場復甦，儘管經歷了暫時的挫折，但長期成長前景仍然強勁。

預計在預測期內，雷射雷達系統細分市場將佔據最大的市場佔有率。

由於LiDAR系統在感知和導航領域發揮關鍵作用，預計在預測期內，LiDAR系統將佔據最大的市場佔有率。LiDAR能夠實現高解析度3D地圖繪製和精確的物體檢測，從而確保在複雜環境中安全運行。固態LiDAR技術的進步和感測器成本的下降正在推動其應用。LiDAR在各種光照條件下的可靠性使其成為自動駕駛穿梭車平台不可或缺的一部分，進一步鞏固了其在該領域的領先地位。

預計在預測期內，L4級自動駕駛細分市場將實現最高的複合年成長率。

由於人工智慧、感測器融合和車輛控制系統的進步，預計在預測期內，L4級自動駕駛領域將實現最高的成長率。 L4級自動駕駛車輛在規定的運行範圍內運行，只需極少的人工干預，因此非常適合固定路線。商業性可行性和營運成本的降低正在推動營運商擴大採用L4級解決方案。檢查區域法規的不斷變化也進一步促進了該領域的快速成長。

比最大的地區

由於快速的都市化和對智慧運輸的大力投資，亞太地區預計將在預測期內佔據最大的市場佔有率。中國、日本和韓國等國家正積極推動智慧城市建設，並試行操作自動駕駛班車。在政府支持和先進製造業生態系統的助力下，該地區展現出巨大的市場接受潛力。密集的城市人口和對高效公共運輸的需求進一步鞏固了亞太地區的主導地位。

複合年均成長率最高的地區

在預測期內，北美預計將呈現最高的複合年成長率，這主要得益於其技術領先地位和自動駕駛出行解決方案的早期採用。主要自動駕駛汽車開發商的存在以及有利的監管政策正在推動該技術的快速普及。智慧基礎設施和校園出行計畫的投資持續成長，帶動了市場需求的持續攀升。市政當局與技術提供者之間日益密切的合作也進一步推動了全部區域的市場成長。

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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
  • 應用分析
  • 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. 全球自動駕駛穿梭車市場（按組件分類）

  • LiDAR系統
  • 雷達感測器
  • 相機模組
  • 控制單元
  • 導航系統
  • 動力傳動系統系統

6. 全球自動駕駛穿梭巴士市場（依自動駕駛等級分類）

  • 3級自動駕駛
  • 4級自動駕駛
  • 5級自動駕駛

7. 全球自動駕駛穿梭車市場（依推進類型分類）

  • 電池驅動
  • 油電混合

8. 全球自動駕駛穿梭車市場（按應用分類）

  • 機場交通
  • 在校園內活動
  • 城市公共運輸
  • 工業設施運輸

9. 全球自動駕駛穿梭車市場（依最終用戶分類）

  • 地方政府
  • 私人運輸業者
  • 機場管理局
  • 其他

第10章 全球自動駕駛穿梭車市場（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

  • Navya SA
  • EasyMile
  • Local Motors
  • 2getthere
  • ZF Friedrichshafen AG
  • Continental AG
  • Bosch Mobility Solutions
  • Hyundai Motor Company
  • Toyota Motor Corporation
  • Aptiv PLC
  • NVIDIA Corporation
  • Mobileye Global Inc.
  • May Mobility
  • Beep, Inc.
  • Yutong Group
Product Code: SMRC33077

According to Stratistics MRC, the Global Autonomous Shuttle Vehicles Market is accounted for $177.4 million in 2025 and is expected to reach $773.1 million by 2032 growing at a CAGR of 20.2% during the forecast period. Autonomous shuttle vehicles are self-driving, electric-powered transport units designed for short-distance, shared mobility in urban or campus environments. Equipped with LiDAR, radar, cameras, and AI navigation systems, they operate without human drivers, offering safe, efficient, and eco-friendly transport. These shuttles are typically low-speed, connected to smart infrastructure, and optimized for passenger convenience. They play a key role in smart city initiatives, last-mile connectivity, and reducing traffic congestion while supporting sustainable, accessible public transportation models.

Market Dynamics:

Driver:

Demand for last-mile mobility solutions

Rising demand for efficient last-mile mobility solutions is a key driver for the Autonomous Shuttle Vehicles market. Urban congestion, limited parking infrastructure, and growing smart city initiatives are pushing transit authorities and private operators toward autonomous shuttles for short-distance travel. Fueled by the need for cost-effective, low-emission transport, these vehicles improve connectivity between transit hubs and final destinations. Their suitability for campuses, airports, and business parks further strengthens adoption momentum.

Restraint:

Regulatory and safety approval hurdles

Regulatory and safety approval hurdles significantly restrain market growth, as autonomous shuttle deployment requires compliance with complex transportation laws. Influenced by the absence of unified global standards, approvals vary across regions and slow commercialization. Extensive testing, certification, and safety validation increase development timelines and costs. For operators, uncertainty around liability frameworks and insurance requirements adds further risk. These factors collectively delay large-scale rollouts, particularly in public road environments with mixed traffic conditions.

Opportunity:

Smart campuses and urban deployments

Smart campuses and urban deployments present a strong growth opportunity for the Autonomous Shuttle Vehicles market. Controlled environments such as university campuses, industrial parks, airports, and smart districts provide ideal testbeds for autonomous mobility. Propelled by digital infrastructure, IoT integration, and sustainability goals, these locations enable faster adoption with lower regulatory barriers. Successful pilot projects in such settings can be scaled to wider urban networks, creating long-term commercial opportunities for manufacturers and mobility service providers.

Threat:

Public acceptance and liability concerns

Public acceptance and liability concerns pose a critical threat to market expansion. Autonomous shuttles rely heavily on public trust in safety and reliability, which can be undermined by accidents or system failures. Fueled by concerns over algorithmic decision-making and responsibility in crash scenarios, adoption may face resistance. Unclear liability allocation among OEMs, software providers, and operators further complicates deployment. Negative public perception can slow regulatory approvals and delay investment decisions.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Autonomous Shuttle Vehicles market. Short-term disruptions in manufacturing, testing, and pilot programs slowed deployments. However, the pandemic highlighted the need for contactless and automated mobility solutions. Motivated by reduced driver dependency and safer transit alternatives, interest in autonomous shuttles increased post-pandemic. Recovery has been supported by renewed smart city investments and mobility innovation programs, reinforcing long-term growth prospects despite temporary setbacks.

The LiDAR systems segment is expected to be the largest during the forecast period

The LiDAR systems segment is expected to account for the largest market share during the forecast period, resulting from its critical role in perception and navigation. LiDAR enables high-resolution 3D mapping and accurate object detection, ensuring safe operation in complex environments. Driven by advancements in solid-state LiDAR and declining sensor costs, adoption is increasing. Its reliability across varying lighting conditions makes LiDAR indispensable for autonomous shuttle platforms, reinforcing segment dominance.

The level 4 automation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the level 4 automation segment is predicted to witness the highest growth rate, propelled by advancements in AI, sensor fusion, and vehicle control systems. Level 4 shuttles operate with minimal human intervention within defined operational domains, making them ideal for fixed routes. Spurred by commercial viability and reduced operational costs, operators are increasingly adopting level 4 solutions. Regulatory progress in pilot zones further accelerates rapid segment growth.

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 strong smart mobility investments. Countries such as China, Japan, and South Korea are actively deploying autonomous shuttle pilots within smart city frameworks. Supported by government backing and advanced manufacturing ecosystems, the region demonstrates high adoption potential. Dense urban populations and demand for efficient public transport further strengthen Asia Pacific's leadership position.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR associated with technological leadership and early adoption of autonomous mobility solutions. The presence of major autonomous vehicle developers and supportive pilot regulations drives rapid deployment. Fueled by investments in smart infrastructure and campus-based mobility programs, demand continues to rise. Growing collaboration between municipalities and technology providers further accelerates market growth across the region.

Key players in the market

Some of the key players in Autonomous Shuttle Vehicles Market include Navya SA, EasyMile, Local Motors, 2getthere, ZF Friedrichshafen AG, Continental AG, Bosch Mobility Solutions, Hyundai Motor Company, Toyota Motor Corporation, Aptiv PLC, NVIDIA Corporation, Mobileye Global Inc., May Mobility, Beep, Inc. and Yutong Group.

Key Developments:

In November 2025, Continental showcased its autonomous shuttle prototype featuring AI-powered perception systems, designed to enhance pedestrian safety and enable seamless integration into mixed traffic environments.

In November 2025, Local Motors expanded pilot programs of its Olli autonomous shuttle in U.S. universities, focusing on sustainable electric drivetrains and modular interiors for flexible passenger transport.

In October 2025, Navya successfully deployed its next-generation autonomous shuttles in Paris, integrating advanced LiDAR and AI systems to improve passenger safety and operational efficiency in urban mobility networks.

Components Covered:

  • LiDAR Systems
  • Radar Sensors
  • Camera Modules
  • Control Units
  • Navigation Systems
  • Powertrain Systems

Level of Autonomy Covered:

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

Propulsions Covered:

  • Battery Electric
  • Hybrid Electric

Applications Covered:

  • Airport Transportation
  • Campus Mobility
  • Urban Public Transit
  • Industrial Site Transport

End Users Covered:

  • Municipal Authorities
  • Private Transport Operators
  • Airport Authorities
  • Other End Users

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 Autonomous Shuttle Vehicles Market, By Component

  • 5.1 Introduction
  • 5.2 LiDAR Systems
  • 5.3 Radar Sensors
  • 5.4 Camera Modules
  • 5.5 Control Units
  • 5.6 Navigation Systems
  • 5.7 Powertrain Systems

6 Global Autonomous Shuttle Vehicles Market, By Level of Autonomy

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

7 Global Autonomous Shuttle Vehicles Market, By Propulsion

  • 7.1 Introduction
  • 7.2 Battery Electric
  • 7.3 Hybrid Electric

8 Global Autonomous Shuttle Vehicles Market, By Application

  • 8.1 Introduction
  • 8.2 Airport Transportation
  • 8.3 Campus Mobility
  • 8.4 Urban Public Transit
  • 8.5 Industrial Site Transport

9 Global Autonomous Shuttle Vehicles Market, By End User

  • 9.1 Introduction
  • 9.2 Municipal Authorities
  • 9.3 Private Transport Operators
  • 9.4 Airport Authorities
  • 9.5 Other End Users

10 Global Autonomous Shuttle Vehicles 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 Navya SA
  • 12.2 EasyMile
  • 12.3 Local Motors
  • 12.4 2getthere
  • 12.5 ZF Friedrichshafen AG
  • 12.6 Continental AG
  • 12.7 Bosch Mobility Solutions
  • 12.8 Hyundai Motor Company
  • 12.9 Toyota Motor Corporation
  • 12.10 Aptiv PLC
  • 12.11 NVIDIA Corporation
  • 12.12 Mobileye Global Inc.
  • 12.13 May Mobility
  • 12.14 Beep, Inc.
  • 12.15 Yutong Group

List of Tables

  • Table 1 Global Autonomous Shuttle Vehicles Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Autonomous Shuttle Vehicles Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Autonomous Shuttle Vehicles Market Outlook, By LiDAR Systems (2024-2032) ($MN)
  • Table 4 Global Autonomous Shuttle Vehicles Market Outlook, By Radar Sensors (2024-2032) ($MN)
  • Table 5 Global Autonomous Shuttle Vehicles Market Outlook, By Camera Modules (2024-2032) ($MN)
  • Table 6 Global Autonomous Shuttle Vehicles Market Outlook, By Control Units (2024-2032) ($MN)
  • Table 7 Global Autonomous Shuttle Vehicles Market Outlook, By Navigation Systems (2024-2032) ($MN)
  • Table 8 Global Autonomous Shuttle Vehicles Market Outlook, By Powertrain Systems (2024-2032) ($MN)
  • Table 9 Global Autonomous Shuttle Vehicles Market Outlook, By Level of Autonomy (2024-2032) ($MN)
  • Table 10 Global Autonomous Shuttle Vehicles Market Outlook, By Level 3 Automation (2024-2032) ($MN)
  • Table 11 Global Autonomous Shuttle Vehicles Market Outlook, By Level 4 Automation (2024-2032) ($MN)
  • Table 12 Global Autonomous Shuttle Vehicles Market Outlook, By Level 5 Automation (2024-2032) ($MN)
  • Table 13 Global Autonomous Shuttle Vehicles Market Outlook, By Propulsion (2024-2032) ($MN)
  • Table 14 Global Autonomous Shuttle Vehicles Market Outlook, By Battery Electric (2024-2032) ($MN)
  • Table 15 Global Autonomous Shuttle Vehicles Market Outlook, By Hybrid Electric (2024-2032) ($MN)
  • Table 16 Global Autonomous Shuttle Vehicles Market Outlook, By Application (2024-2032) ($MN)
  • Table 17 Global Autonomous Shuttle Vehicles Market Outlook, By Airport Transportation (2024-2032) ($MN)
  • Table 18 Global Autonomous Shuttle Vehicles Market Outlook, By Campus Mobility (2024-2032) ($MN)
  • Table 19 Global Autonomous Shuttle Vehicles Market Outlook, By Urban Public Transit (2024-2032) ($MN)
  • Table 20 Global Autonomous Shuttle Vehicles Market Outlook, By Industrial Site Transport (2024-2032) ($MN)
  • Table 21 Global Autonomous Shuttle Vehicles Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Autonomous Shuttle Vehicles Market Outlook, By Municipal Authorities (2024-2032) ($MN)
  • Table 23 Global Autonomous Shuttle Vehicles Market Outlook, By Private Transport Operators (2024-2032) ($MN)
  • Table 24 Global Autonomous Shuttle Vehicles Market Outlook, By Airport Authorities (2024-2032) ($MN)
  • Table 25 Global Autonomous Shuttle Vehicles Market Outlook, By Other End Users (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.