封面
市场调查报告书
商品编码
2007932

2034年自动驾驶公共运输市场预测:按车辆类型、组件、动力系统、应用和区域分類的全球分析

Autonomous Public Transportation Market Forecasts to 2034 - Global Analysis By Vehicle Type (Autonomous Buses, Autonomous Shuttles, Autonomous Trams and Autonomous Pods), Component, Propulsion, Application and By Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据,预计到 2026 年,全球自动驾驶公共交通市场规模将达到 131 亿美元,并在预测期内以 21.2% 的复合年增长率增长,到 2034 年将达到 611 亿美元。

自动驾驶公共交通正在利用智慧软体、感测技术和持续的数据交换,实现无人驾驶运行,从而改变城市交通。例如,自动驾驶公车、地铁系统和按需班车等,透过最大限度地减少人为错误和优化交通流量来提高安全性。此类系统可以降低成本,并在拥挤都市区的主要路线上提供稳定、高频次的服务。公共部门和行业相关人员正在为网路、连接和政策的製定提供资金,以推动其部署。儘管存在安全风险、监管澄清和用户接受度等障碍,但试点计画和创新仍在不断加速全球采用,从而在未来几十年内实现更清洁、更包容的出行方式。

根据印度国家转型委员会(NITI Aayog,与落基山研究所联合研究,2018 年)的说法,到 2030 年,印度透过向共用、电动和互联的出行系统转型,每年可减少高达 600 亿美元的燃料成本。

提高城市交通效率的需求日益增长

对更高效城市交通系统的需求正显着推动自动驾驶公共交通市场的发展。不断增长的城市人口和快速的城市扩张给传统交通网络带来了巨大压力,导致拥挤、延误和污染。包括无人驾驶公车和火车在内的自动驾驶系统能够优化路线规划,缓解交通拥塞问题,并提高服务效率。它们可以持续运行,无需过度依赖人类驾驶人,从而确保可靠且频繁的服务。随着都市区努力实施智慧出行解决方案,已开发国家和开发中国家对自动驾驶公共交通的兴趣都在稳步增长,这为全球现代基础设施建设和改善通勤体验提供了支持。

高昂的初始投资和基础设施成本

限制自动驾驶公共交通市场成长的主要挑战之一是高昂的初始部署成本。实施这些系统需要对感测器、软体平台和智慧基础设施(例如联网道路)等先进技术进行大量投资。维修现有交通网络以适应自动化也增加了额外的财务负担。对于许多地区,尤其是预算有限的地区而言,这些成本可能构成障碍。维护、升级和网路安全措施等持续性支出也加剧了负担。因此,资金限制往往会延缓部署,并阻碍自动驾驶公共交通解决方案在全球的大规模推广。

电动车和永续旅行解决方案的开发

向环保型交通途径的转变为自动驾驶公共交通市场带来了巨大的机会。整合自动化和电动车技术可以减少排放气体并提高能源效率。世界各国政府正透过政策、奖励和基础设施投资来推动永续交通。自动驾驶电动交通系统有助于改善城市环境并降低长期营运成本。这种方式支持全球应对气候变迁和促进永续性的努力。随着环保意识的增强,对环保型和自动化交通解决方案的需求预计将会增加,从而为全球自动驾驶公共交通领域的创新和成长创造新的机会。

激烈的市场竞争与技术竞争

激烈的竞争和持续的技术战对自动驾驶公共交通市场构成重大威胁。包括大型企业和新兴Start-Ups在内的许多市场参与企业不断加大创新投入,以获得竞争优势。虽然这种环境促进了快速发展,但也导致研发成本上升和产品生命週期缩短。对于中小企业而言,跟上资金雄厚的竞争对手往往充满挑战。此外,相互竞争的技术还可能导致标准不一致和整合难题。这些因素会阻碍相关人员之间的合作,延缓大规模部署,并最终影响全球自动驾驶公共产业的成长和稳定。

新冠疫情的影响:

新冠疫情对自动驾驶公共市场产生了正面和负面的双重影响。初期,严格的封锁措施、客流量的减少以及基础建设的停滞减缓了市场发展。各国政府将工作重点转向医疗卫生服务,延后了投资和示范计划。儘管面临这些不利因素,疫情也凸显了减少人际接触的重要性,并提升了人们对自动驾驶和非接触式旅游解决方案的兴趣。在疫情恢復阶段,人们对安全、卫生和高效的交通系统的关注度不断提高,从而刺激了市场需求。随着正常活动的恢復,资金筹措和计划也重新启动,最终促进了市场的长期成长,并强化了自动化和创新在未来全球公共交通网络中的作用。

在预测期内,自动驾驶公车细分市场预计将成为最大的细分市场。

由于其多功能性和易于融入现有交通网络的特性,预计自动驾驶巴士将在预测期内占据最大的市场份额。这些车辆非常适合运送大量乘客,并且无需对基础设施进行大规模改造即可在现有道路上运行。运输业者青睐这些车辆,因为它们能够实现从传统巴士的平稳过渡,并保留原始路线。可扩展的营运规模、降低成本以及为不同地区提供服务的能力正在巩固其市场地位。持续的试点计画和政府支持也促进了自动驾驶巴士在全球的普及。

在预测期内,软体产业预计将呈现最高的复合年增长率。

在预测期内,由于软体在控制和优化系统效能方面的重要性,因此预计软体产业将呈现最高的成长率。该产业支撑着路线规划、自主决策、货运协调和即时分析等关键功能。随着人工智慧、机器学习和云端运算技术的日益普及,人们对先进软体解决方案的依赖性也越来越强。与硬体相比,软体可以更频繁地更新,使系统更加灵活高效。随着对智慧互联交通途径的需求不断增长,软体产业正在蓬勃发展,并为全球自动驾驶公共交通的快速发展做出重大贡献。

市占率最大的地区:

在整个预测期内,北美预计将保持最大的市场份额,这得益于其先进的技术环境和对创新出行解决方案的早期采用。该地区汇聚了许多大型科技公司,并受益于完善的基础设施和支持自动驾驶汽车普及的有利政府政策。对研发、先导计画和智慧交通倡议的持续投入正在推动成长。公众意识的提高以及对更安全、更有效率交通系统的需求也在加速自动驾驶技术的普及。这些因素共同促成了北美作为主导地区的地位,并使其在全球自动驾驶公共交通行业保持强劲势头。

复合年增长率最高的地区:

在预测期内,亚太地区预计将呈现最高的复合年增长率,这主要得益于不断增长的城市人口和对更完善的交通系统的需求。中国、日本和韩国等国家正大力投资智慧基础设施和自动驾驶技术。强劲的製造业以及电动车和联网汽车的日益普及也推动了该地区的成长。有利的政府政策和正在进行的试点计画正在加速这些技术的推广应用。随着城市致力于缓解交通拥堵和提高运输效率,亚太地区正成为全球市场成长最快的地区。

免费客製化服务:

所有购买此报告的客户均可享受以下免费自订选项之一:

  • 企业概况
    • 对其他市场参与者(最多 3 家公司)进行全面分析
    • 对主要企业进行SWOT分析(最多3家公司)
  • 区域划分
    • 应客户要求,我们提供主要国家和地区的市场估算和预测,以及复合年增长率(註:需进行可行性检查)。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 成长动力、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章:研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章:竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章:全球自动驾驶公共运输市场:依车辆类型划分

  • 自动驾驶巴士
  • 无人驾驶穿梭巴士
  • 无人驾驶路面电车
  • 自动驾驶舱

第六章:全球自动驾驶公共市场:按组件划分

  • 硬体
  • 软体
  • 服务

第七章 全球自动驾驶公共市场:依驾驶划分

  • 电动自动驾驶交通
  • 油电混合驾驶
  • 氢燃料电池动力自主交通

第八章:全球自动驾驶公共运输市场:按应用领域划分

  • 城市交通系统
  • 郊区和乡村公共交通
  • 机构接驳车
  • 专用智慧走廊

第九章:全球自动驾驶公共市场:按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区(RoW)
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十章 战略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十一章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟、合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十二章:公司简介

  • Siemens AG
  • Kapsch TrafficCom
  • Thales Group
  • PTV Group
  • IBM
  • Cisco Systems
  • Huawei
  • TomTom International BV
  • Yunex Traffic
  • EasyMile
  • NAVYA
  • Local Motors(Magna)
  • BAE Systems
  • Aurora
  • May Mobility
  • Oxbotica
  • WeRide
  • Baidu Apollo
Product Code: SMRC34812

According to Stratistics MRC, the Global Autonomous Public Transportation Market is accounted for $13.1 billion in 2026 and is expected to reach $61.1 billion by 2034 growing at a CAGR of 21.2% during the forecast period. Autonomous public transit is reshaping city travel through the use of intelligent software, sensing technologies, and continuous data exchange that enables driverless operation. Examples include automated buses, metro systems, and on-demand shuttles that improve safety by minimizing human mistakes and optimizing traffic flow. Such systems can reduce costs and deliver consistent, high-frequency services in busy urban corridors. Public agencies and industry players are funding networks, connectivity, and policies to enable rollout. Barriers include security risks, regulatory clarity, and user acceptance, yet trials and innovation continue to speed global adoption for cleaner, inclusive mobility outcomes in the coming decades ahead.

According to NITI Aayog (with Rocky Mountain Institute, 2018), India could save up to $60 billion annually in fuel costs by 2030 through a transition to shared, electric, and connected mobility systems.

Market Dynamics:

Driver:

Rising demand for urban mobility efficiency

The need for more effective city transportation systems is significantly boosting the autonomous public transportation market. Increasing urban populations and rapid city expansion are overwhelming traditional transit networks, causing congestion, delays, and pollution. Autonomous systems, including driverless buses and trains, enhance route planning, reduce traffic issues, and improve service efficiency. They can run continuously without heavy reliance on human operators, ensuring reliable and frequent services. As urban areas aim to adopt intelligent mobility solutions, the interest in autonomous public transit is growing steadily across both developed and developing regions, supporting modern infrastructure development and improved commuter experiences globally.

Restraint:

High initial investment and infrastructure costs

One of the key challenges limiting the growth of the autonomous public transportation market is the high cost of initial setup. Implementing these systems requires significant spending on sophisticated technologies, including sensors, software platforms, and intelligent infrastructure like connected roads. Retrofitting current transportation networks to support automation adds further financial strain. For many regions, especially those with constrained budgets, these costs can be prohibitive. Ongoing expenses such as maintenance, upgrades, and cybersecurity protection also contribute to the burden. Consequently, financial constraints often delay adoption and hinder the large-scale rollout of autonomous public transport solutions globally.

Opportunity:

Development of electric and sustainable mobility solutions

The shift toward environmentally friendly transportation provides a major opportunity for the autonomous public transportation market. Integrating automation with electric vehicle technology helps reduce emissions and enhances energy efficiency. Governments are encouraging sustainable mobility through policies, incentives, and infrastructure investments. Autonomous electric transit systems contribute to cleaner cities and can reduce long-term operating costs. This approach supports global efforts to combat climate change and promote sustainability. As environmental awareness increases, the demand for eco-friendly and automated transportation solutions is expected to rise, creating new possibilities for innovation and growth in the autonomous public transport sector worldwide.

Threat:

Intense market competition and technological rivalry

Strong competition and ongoing technological battles present a major threat to the autonomous public transportation market. Various industry participants, including large corporations and emerging startups, are continuously investing in innovation to gain a competitive edge. This environment drives rapid advancements but also increases development costs and reduces product lifespans. Smaller companies often find it difficult to keep pace with well-funded competitors. Furthermore, competing technologies may lead to inconsistent standards and integration challenges. These factors can hinder cooperation among stakeholders and delay large-scale deployment, ultimately affecting the overall growth and stability of the autonomous public transportation industry worldwide.

Covid-19 Impact:

The COVID-19 outbreak affected the autonomous public transportation market in both negative and positive ways. Initially, strict lockdowns, declining passenger numbers, and halted infrastructure developments slowed market progress. Governments shifted priorities toward health services, delaying investments and pilot initiatives. Despite these setbacks, the pandemic underscored the importance of minimizing human contact, boosting interest in autonomous and contactless mobility solutions. During the recovery period, the focus on safe, hygienic, and efficient transport systems increased demand. As normal activities resumed, funding and projects restarted, ultimately supporting long-term growth and reinforcing the role of automation and innovation in future public transportation networks globally.

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 because of their versatility and ease of integration into current transit networks. They are ideal for transporting large numbers of passengers and can function on existing roadways without requiring significant infrastructure changes. Transit agencies favor these vehicles as they provide a smooth transition from traditional buses while preserving familiar routes. Their ability to scale operations, reduce costs, and serve diverse regions strengthens their market position. Continued trials and supportive government efforts are also contributing to the growing adoption of autonomous buses worldwide.

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

Over the forecast period, the software segment is predicted to witness the highest growth rate, driven by its importance in controlling and optimizing system performance. It supports key functions such as route planning, autonomous decision-making, fleet coordination, and real-time analytics. The rising use of AI, machine learning, and cloud technologies is increasing dependence on advanced software solutions. Compared to hardware, software allows frequent updates, making systems more flexible and efficient. As the need for smart, connected transportation grows, the software segment is gaining momentum, contributing significantly to the rapid development of autonomous public transportation worldwide.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its advanced technological landscape and early acceptance of innovative mobility solutions. The region is home to major technology firms and benefits from strong infrastructure and favorable government policies supporting autonomous vehicle deployment. Continuous investments in research, pilot projects, and smart transportation initiatives are boosting growth. Public awareness and demand for safer, more efficient transit systems also contribute to adoption. Together, these elements establish North America as a leading region, maintaining a strong position in the global autonomous public transportation industry.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by expanding urban populations and the need for improved transit systems. Countries like China, Japan, and South Korea are investing significantly in smart infrastructure and autonomous mobility technologies. The presence of a robust manufacturing sector and increasing use of electric and connected vehicles also contribute to growth. Favorable government policies and ongoing pilot initiatives are speeding up implementation. With cities focusing on reducing traffic congestion and enhancing transportation efficiency, Asia-Pacific is becoming the most rapidly developing region in the global market.

Key players in the market

Some of the key players in Autonomous Public Transportation Market include Siemens AG, Kapsch TrafficCom, Thales Group, PTV Group, IBM, Cisco Systems, Huawei, TomTom International BV, Yunex Traffic, EasyMile, NAVYA, Local Motors (Magna), BAE Systems, Aurora, May Mobility, Oxbotica, WeRide and Baidu Apollo.

Key Developments:

In December 2025, IBM and Pearson announced a global partnership to build new personalized learning products powered by AI for businesses, public organizations, and educational institutions. Recent research from Pearson found that inefficient career transitions and skills mismatches will cost the US economy $1.1 trillion in lost earnings annually.

In October 2025, TomTom announced the expansion of its partnership with Hyundai AutoEver (HAE), the mobility software provider of the Hyundai Motor Group (HMG), further enhancing the driving experience for millions of HMG vehicles across Europe. This renewed agreement solidifies TomTom's position as a maps supplier for HAE, integrating TomTom's live services, including real-time traffic data and the newly awarded speed camera service, into Hyundai AutoEver's navigation software to support all Hyundai Motor, Kia, and Genesis models in Europe over the next several years.

In June 2025, Thales and Qatar Airways have signed a Memorandum of Agreement (MoA) to support Qatar Airways' strategic fleet growth plan announced last month. This agreement sets the course for future inflight entertainment (IFE) innovations to support Qatar Airways' digital transformation journey, giving the airline access to the most innovative technologies.

Vehicle Types Covered:

  • Autonomous Buses
  • Autonomous Shuttles
  • Autonomous Trams
  • Autonomous Pods

Components Covered:

  • Hardware
  • Software
  • Services

Propulsions Covered:

  • Electric Autonomous Transit
  • Hybrid Autonomous Transit
  • Hydrogen Fuel Cell Autonomous Transit

Applications Covered:

  • Urban Transit Systems
  • Suburban & Rural Transit
  • Institutional Shuttles
  • Dedicated Smart Corridors

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 Transportation Market, By Vehicle Type

  • 5.1 Autonomous Buses
  • 5.2 Autonomous Shuttles
  • 5.3 Autonomous Trams
  • 5.4 Autonomous Pods

6 Global Autonomous Public Transportation Market, By Component

  • 6.1 Hardware
  • 6.2 Software
  • 6.3 Services

7 Global Autonomous Public Transportation Market, By Propulsion

  • 7.1 Electric Autonomous Transit
  • 7.2 Hybrid Autonomous Transit
  • 7.3 Hydrogen Fuel Cell Autonomous Transit

8 Global Autonomous Public Transportation Market, By Application

  • 8.1 Urban Transit Systems
  • 8.2 Suburban & Rural Transit
  • 8.3 Institutional Shuttles
  • 8.4 Dedicated Smart Corridors

9 Global Autonomous Public Transportation 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 Siemens AG
  • 12.2 Kapsch TrafficCom
  • 12.3 Thales Group
  • 12.4 PTV Group
  • 12.5 IBM
  • 12.6 Cisco Systems
  • 12.7 Huawei
  • 12.8 TomTom International BV
  • 12.9 Yunex Traffic
  • 12.10 EasyMile
  • 12.11 NAVYA
  • 12.12 Local Motors (Magna)
  • 12.13 BAE Systems
  • 12.14 Aurora
  • 12.15 May Mobility
  • 12.16 Oxbotica
  • 12.17 WeRide
  • 12.18 Baidu Apollo

List of Tables

  • Table 1 Global Autonomous Public Transportation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Autonomous Public Transportation Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 3 Global Autonomous Public Transportation Market Outlook, By Autonomous Buses (2023-2034) ($MN)
  • Table 4 Global Autonomous Public Transportation Market Outlook, By Autonomous Shuttles (2023-2034) ($MN)
  • Table 5 Global Autonomous Public Transportation Market Outlook, By Autonomous Trams (2023-2034) ($MN)
  • Table 6 Global Autonomous Public Transportation Market Outlook, By Autonomous Pods (2023-2034) ($MN)
  • Table 7 Global Autonomous Public Transportation Market Outlook, By Component (2023-2034) ($MN)
  • Table 8 Global Autonomous Public Transportation Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 9 Global Autonomous Public Transportation Market Outlook, By Software (2023-2034) ($MN)
  • Table 10 Global Autonomous Public Transportation Market Outlook, By Services (2023-2034) ($MN)
  • Table 11 Global Autonomous Public Transportation Market Outlook, By Propulsion (2023-2034) ($MN)
  • Table 12 Global Autonomous Public Transportation Market Outlook, By Electric Autonomous Transit (2023-2034) ($MN)
  • Table 13 Global Autonomous Public Transportation Market Outlook, By Hybrid Autonomous Transit (2023-2034) ($MN)
  • Table 14 Global Autonomous Public Transportation Market Outlook, By Hydrogen Fuel Cell Autonomous Transit (2023-2034) ($MN)
  • Table 15 Global Autonomous Public Transportation Market Outlook, By Application (2023-2034) ($MN)
  • Table 16 Global Autonomous Public Transportation Market Outlook, By Urban Transit Systems (2023-2034) ($MN)
  • Table 17 Global Autonomous Public Transportation Market Outlook, By Suburban & Rural Transit (2023-2034) ($MN)
  • Table 18 Global Autonomous Public Transportation Market Outlook, By Institutional Shuttles (2023-2034) ($MN)
  • Table 19 Global Autonomous Public Transportation Market Outlook, By Dedicated Smart Corridors (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.