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市场调查报告书
商品编码
1876761

2032年自动驾驶计程车市场预测：按组件、服务类型、车辆类型、推进方式、应用和区域分類的全球分析

Robo-Taxi Market Forecasts to 2032 - Global Analysis By Component (Hardware, and Software), Service Type (Ride-Hailing, and Car Rental/Sharing), Vehicle Type, Propulsion, Application, and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球无人驾驶计程车市场价值将达到 33 亿美元，到 2032 年将达到 1,653 亿美元。

预计在预测期内，自动驾驶计程车市场将以74.2%的复合年增长率成长。自动驾驶计程车市场是一种利用自动驾驶车辆在都市区提供随选出共乘服务的自动化交通方式。各公司正在开发汽车平臺和安全检验，以及感知、规划和车队协调软体。自动驾驶计程车有望降低营运成本、提高运转率并减少停车位需求，但仍面临监管、安全和社会接受度方面的障碍。扩充性依赖于强大的地图技术、边缘运算以及在混合交通环境下的效能。法规结构和与政府的合作将决定其早期商业部署和地理扩张。

对高效、经济、便利的城市交通解决方案的需求日益增长

市场的主要驱动因素是日益严重的都市区拥挤和传统交通途径的限制。消费者正在积极寻求可靠且经济实惠的出行方式，以取代私家车和传统计程车。无人驾驶计程车透过提供按需点对点交通服务，直接应对了这项挑战，显着降低了出行时间和成本。消费者对便利都市区交通日益增长的需求，正在催生对自动驾驶叫车服务的强劲且持续的需求，从而刺激该领域的进一步投资和成长，以满足这一明确的市场需求。

实施初期成本较高

最大的阻碍因素是开发和部署这项技术所需的巨额资金。安全可靠的自动驾驶汽车需要昂贵的传感器、强大的计算硬体以及多年的复杂软体工程。此外，建构营运基础设施和车队也构成巨大的财务障碍。这些高昂的初始成本构成了准入门槛，并可能减缓商业化进程，因为企业必须达到一定的规模才能开始获得巨额投资的回报。

拓展至共用旅游服务

将无人驾驶计程车融入更广泛的共用出行生态系统蕴藏着巨大的机会，例如将其与公共交通网络整合，并将其作为「最后一公里」/「首公里」出行解决方案。这将有助于市场拓展，超越传统的点对点出行模式。此外，车队营运商还可以利用自动驾驶平台，透过提供多元化服务（例如自动驾驶配送和物流）来创造新的高价值收入来源。这种策略性扩张将最大限度地提升每辆车的效用和盈利，并使其经营模式从纯粹的客运转型为多功能出行服务。

网路安全风险和资料隐私洩露

市场推广的最大威胁是恶意网路攻击的风险，这些攻击可能破坏车辆控制系统并造成安全隐患。此外，营运所需的持续资料收集也引发了严重的隐私担忧。重大的资料外洩或骇客攻击事件可能严重损害公共信任，引发监管机构的强烈反对，并阻碍整个产业的进步。因此，确保强大的网路安全和透明的资料处理通讯协定不仅是一项技术挑战，也是获得社会和监管机构认可的关键前提。

新冠疫情的感染疾病：

疫情初期扰乱了整个产业，导致车辆测试停滞，关键零件供应链放缓。然而，疫情也扮演了催化剂的作用，加速了人们对非接触式交通途径的需求。这场危机凸显了自动驾驶汽车在疫情期间维持出行便利的价值，并展现了其加速获得长期监管认可和提升消费者兴趣的潜力。因此，儘管研发进度暂时延缓，但无人驾驶计程车的核心价值提案得到了强化，人们更加关注其在后疫情时代的适应性和卫生优势。

预计在预测期内，汽车产业将占据最大的市场份额。

预计在预测期内，乘用车细分市场将占据最大的市场份额。这是因为四轮汽车是目前共享汽车和个人轿车的直接且合乎逻辑的继任者。它们的配置非常适合大多数都市区出行，通常可搭载一至四名乘客。此外，汽车製造商和科技公司的大规模研发工作也主要集中在乘用车上，乘用车有望成为首个也是最普遍的自动驾驶汽车类型，在全球各大城市实现商业化部署和规模化应用。

预计在预测期内，电动车（EV）细分市场将实现最高的复合年增长率。

在自动驾驶和电气化之间强大的协同效应的推动下，电动车 (EV) 细分市场预计将在预测期内实现最高成长率。电动动力传动系统每英里营运成本低，使其成为服务型经营模式盈利的关键驱动因素。此外，电动车简化的机械特性与自动驾驶系统的要求高度契合。监管机构大力推动零排放交通和企业永续性目标，促使大多数无人驾驶计程车业者策略性地转型为全电动式汽车，从而推动了该细分市场的快速扩张。

占比最大的地区：

在整个预测期内，由于关键技术开发商的集中以及早期阶段的大规模投资，北美预计将保持最大的市场份额。亚利桑那州和加利福尼亚州等关键州的法规环境相对开放，允许进行广泛的实地测试和早期商业部署。此外，消费者对共乘出行的高度认知以及当地已有的共享出行文化，共同造就了一个易于接受的市场。技术领先优势、早期监管支援以及市场认可，使北美在全球拥有显着的先发优势。

年复合成长率最高的地区：

预计亚太地区在预测期内将呈现最高的复合年增长率。这主要归因于该地区庞大的城市人口以及特大城市严重的交通拥堵问题。中国和日本等国政府正积极支持自动驾驶汽车的研发，将其视为未来出行的战略解决方案。此外，该地区拥有大量精通科技且渴望接受新型出行服务的民众，这为自动驾驶汽车的快速普及提供了沃土。正是这种由迫切的都市区需求、强有力的政府支持和消费者热情共同推动的强劲增长，使得亚太地区实现了爆炸式增长。

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目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • 新冠疫情的影响

第四章 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
  • 竞争对手之间的竞争

5. 全球自动驾驶计程车市场（按组件划分）

  • 介绍
  • 硬体
    • 感测系统
      • 光达（光探测和测距）
      • 雷达（无线电探测和测距）
      • 摄影机（电脑视觉）
      • 超音波感测器
    • 定位系统
      • GNSS/GPS（全球导航卫星系统）
      • 惯性测量单元 (IMU) 和里程计
    • 计算硬体
      • 中央处理器（CPU）和图形处理器（GPU）
      • 系统晶片(SoC)/电控系统(ECU)
    • 通讯硬体
      • V2X（车辆通讯）通讯模组
      • 5G/LTE调变解调器
  • 软体
    • 自动驾驶（AD）软体栈
      • 辨识软体
      • 在地化软体
      • 路线规划与决策
      • 执行器/车辆控制
    • 高清（HD）地图和数据
      • 静态地图公司
      • 动态匹配公司
      • 地图更新与维护工具
    • 作业系统和框架
      • 安全认证作业系统
      • 发展框架
    • 云端和车队管理软体
      • 远端控制和远端援助软体
      • 车队调度、优化和监控平台
      • 数据标註与模拟工具

6. 全球机器人计程车市场按服务类型划分

  • 介绍
  • 叫车服务
  • 汽车租赁/共享

7. 全球无人驾驶计程车市场（依车辆类型划分）

  • 介绍
  • 车
  • 接驳车/麵包车

8. 全球无人驾驶计程车市场依推进类型划分

  • 介绍
  • 电动车（EV）
  • 内燃机（ICE）
  • 杂交种

第九章 全球机器人计程车市场（按应用划分）

  • 介绍
  • 客运
  • 货物运输

第十章 全球机器人计程车市场（按地区划分）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十二章 企业概况

  • Waymo LLC
  • Cruise LLC
  • Zoox, Inc.
  • Motional, Inc.
  • Pony.ai Inc.
  • AutoX Technology Co., Ltd.
  • Baidu, Inc.
  • DiDi Chuxing Technology Co.
  • WeRide Inc.
  • Tesla, Inc.
  • Mobileye NV
  • Aurora Innovation, Inc.
  • Yandex NV
  • NVIDIA Corporation
  • Aptiv PLC
  • Hyundai Motor Company
Product Code: SMRC32441

According to Stratistics MRC, the Global Robo-Taxi Market is accounted for $3.3 billion in 2025 and is expected to reach $165.3 billion by 2032, growing at a CAGR of 74.2% during the forecast period. The robo-taxi market involves autonomous, on-demand mobility services using driverless vehicles to provide urban ridesharing. Companies develop perception, planning, and fleet orchestration software alongside vehicle platforms and safety validation. Robo-taxis promise lower operating costs, higher utilization, and reduced parking needs, but face regulatory, safety, and public-acceptance hurdles. Scalability depends on robust mapping, edge compute, and mixed-traffic performance. Regulatory frameworks and city partnerships will determine early commercial rollouts and geographic expansion.

Market Dynamics:

Driver:

Growing demand for efficient, affordable, and convenient urban mobility solutions

The primary market driver stems from increasing urban congestion and the limitations of traditional transport. Consumers are actively seeking alternatives that are more reliable and cost-effective than private car ownership or conventional taxis. Robot taxis directly address the problem by offering on-demand, point-to-point mobility, which can significantly reduce travel time and expense. This increasing interest from consumers in easy urban transportation is driving a strong and ongoing demand for self-driving ride-hailing services, leading to more investment and growth in this area to satisfy this clear market need.

Restraint:

High initial costs for research, development, and deployment

The most significant restraint is the immense capital required to develop and deploy this technology. Creating a safe and reliable autonomous vehicle involves expensive sensors, powerful computing hardware, and years of complex software engineering. Furthermore, building the operational infrastructure and fleet represents a substantial financial hurdle. These high upfront costs act as a major barrier to entry and can slow the pace of widespread commercialization, as companies must achieve significant scale to begin realizing a return on their monumental investments.

Opportunity:

Expansion into shared mobility services

A major opportunity lies in integrating robo-taxis into broader shared mobility ecosystems, such as combining them with public transit networks for first-and-last-mile solutions. This expands the addressable market beyond direct point-to-point trips. Furthermore, fleet operators can leverage these autonomous platforms for diverse services like autonomous delivery or logistics, creating new, high-value revenue streams. This strategic expansion allows companies to maximize the utility and profitability of each vehicle, transforming the business model from pure passenger transit to a multi-service mobility utility.

Threat:

Cybersecurity risks and data privacy breaches

A paramount threat to market adoption is the risk of malicious cyberattacks that could compromise vehicle control systems, leading to safety hazards. Additionally, the constant data collection required for operation raises severe privacy concerns. A single significant breach or hacking incident could severely damage public trust and trigger stringent regulatory backlash, potentially stalling the entire industry's progress. Ensuring robust cybersecurity and transparent data handling protocols is therefore not just technical but a critical prerequisite for achieving social and regulatory acceptance.

Covid-19 Impact:

The pandemic initially disrupted the industry, halting vehicle testing and creating supply chain bottlenecks for critical components. However, it also acted as a catalyst by amplifying the desire for contactless transportation solutions. The crisis underscored the value of driverless vehicles in maintaining mobility during health crises, potentially accelerating long-term regulatory acceptance and consumer interest. Consequently, while development timelines were temporarily delayed, the fundamental value proposition of robo-taxis was strengthened, refocusing the narrative on their resilience and hygiene benefits in a post-pandemic world.

The cars segment is expected to be the largest during the forecast period

The cars segment is expected to account for the largest market share during the forecast period, as these four-wheeled vehicles are the direct and logical successors to today's ride-hailing cars and personal sedans. Their form factor is perfectly suited for the majority of urban trips, typically carrying one to four passengers. Moreover, the extensive research and development by automakers and tech companies has been overwhelmingly focused on passenger cars, ensuring they will be the first and most prevalent type of autonomous vehicle to achieve commercial deployment and scale in cities worldwide.

The electric vehicle (EV) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the electric vehicle (EV) segment is predicted to witness the highest growth rate, driven by a powerful synergy between autonomy and electrification. Electric powertrains offer lower operational costs per mile, a critical factor for profitability in a service-based model. Additionally, the simplified mechanical nature of EVs aligns well with the requirements of autonomous driving systems. With strong regulatory pushes for zero-emission transport and corporate sustainability goals, most robo-taxi operators are strategically committing to all-electric fleets, fueling this segment's rapid expansion.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the concentration of leading technology developers and substantial early-stage investment. The regulatory environment in key states like Arizona and California has been relatively progressive, allowing for extensive real-world testing and early commercial deployments. Furthermore, high consumer awareness and a strong existing culture of ride-hailing adoption create a receptive market. This combination of technological leadership, supportive initial regulations, and market readiness provides North America with a significant first-mover advantage in the global landscape.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by its massive urban populations and severe congestion challenges in megacities. Governments in countries like China and Japan are actively supporting autonomous vehicle development as a strategic solution for future mobility. Moreover, the presence of a tech-savvy population that readily adopts new mobility services provides fertile ground for rapid uptake. This potent mix of acute urban needs, strong governmental backing, and consumer willingness positions Asia Pacific for explosive growth.

Key players in the market

Some of the key players in Robo-Taxi Market include Waymo LLC, Cruise LLC, Zoox, Inc., Motional, Inc., Pony.ai Inc., AutoX Technology Co., Ltd., Baidu, Inc., DiDi Chuxing Technology Co., WeRide Inc., Tesla, Inc., Mobileye N.V., Aurora Innovation, Inc., Yandex N.V., NVIDIA Corporation, Aptiv PLC, and Hyundai Motor Company.

Key Developments:

In September 2025, Waymo will launch fully autonomous ride-hailing in London starting 2026, in partnership with Moove for fleet operations, collaborating actively with UK authorities.

In September 2025, Zoox brings its dedicated Robo-Taxi service to San Francisco, joining its operations in Las Vegas; rides are bookable via the Zoox app.

In November 2023, Hyundai Motor Company (via its joint venture with Motional) announced that the IONIQ 5 robotaxi will be manufactured at its Innovation Center Singapore and deployed as part of Motional's commercial U.S. services.

Components Covered:

  • Hardware
  • Software

Service Types Covered:

  • Ride-Hailing
  • Car Rental/Sharing

Vehicle Types Covered:

  • Cars
  • Shuttles/Vans

Propulsions Covered:

  • Electric Vehicle (EV)
  • Internal Combustion Engine (ICE)
  • Hybrid

Applications Covered:

  • Passenger Transportation
  • Goods Transportation

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 Emerging Markets
  • 3.8 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 Robo-Taxi Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensing Systems
      • 5.2.1.1 LiDAR (Light Detection and Ranging)
      • 5.2.1.2 Radar (Radio Detection and Ranging)
      • 5.2.1.3 Cameras (Computer Vision)
      • 5.2.1.4 Ultrasonic Sensors
    • 5.2.2 Positioning Systems
      • 5.2.2.1 GNSS/GPS (Global Navigation Satellite System)
      • 5.2.2.2 IMU (Inertial Measurement Unit) & Odometry
    • 5.2.3 Computing Hardware
      • 5.2.3.1 Central Processing Units (CPUs) & Graphics Processing Units (GPUs)
      • 5.2.3.2 Systems-on-a-Chip (SoC) / Electronic Control Units (ECUs)
    • 5.2.4 Communication Hardware
      • 5.2.4.1 V2X (Vehicle-to-Everything) Communication Modules
      • 5.2.4.2 5G/LTE Modems
  • 5.3 Software
    • 5.3.1 Autonomous Driving (AD) Software Stack
      • 5.3.1.1 Perception Software
      • 5.3.1.2 Localization Software
      • 5.3.1.3 Path Planning and Decision-Making
      • 5.3.1.4 Actuation/Vehicle Control
    • 5.3.2 High-Definition (HD) Mapping and Data
      • 5.3.2.1 Static Map Layers
      • 5.3.2.2 Dynamic Map Layers
      • 5.3.2.3 Map Updating and Maintenance Tools
    • 5.3.3 Operating Systems and Frameworks
      • 5.3.3.1 Safety-Certified Operating Systems
      • 5.3.3.2 Development Frameworks
    • 5.3.4 Cloud and Fleet Management Software
      • 5.3.4.1 Teleoperation and Remote Assistance Software
      • 5.3.4.2 Fleet Scheduling, Optimization, and Monitoring Platforms
      • 5.3.4.3 Data Annotation and Simulation Tools

6 Global Robo-Taxi Market, By Service Type

  • 6.1 Introduction
  • 6.2 Ride-Hailing
  • 6.3 Car Rental/Sharing

7 Global Robo-Taxi Market, By Vehicle Type

  • 7.1 Introduction
  • 7.2 Cars
  • 7.3 Shuttles/Vans

8 Global Robo-Taxi Market, By Propulsion

  • 8.1 Introduction
  • 8.2 Electric Vehicle (EV)
  • 8.3 Internal Combustion Engine (ICE)
  • 8.4 Hybrid

9 Global Robo-Taxi Market, By Application

  • 9.1 Introduction
  • 9.2 Passenger Transportation
  • 9.3 Goods Transportation

10 Global Robo-Taxi 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 Waymo LLC
  • 12.2 Cruise LLC
  • 12.3 Zoox, Inc.
  • 12.4 Motional, Inc.
  • 12.5 Pony.ai Inc.
  • 12.6 AutoX Technology Co., Ltd.
  • 12.7 Baidu, Inc.
  • 12.8 DiDi Chuxing Technology Co.
  • 12.9 WeRide Inc.
  • 12.10 Tesla, Inc.
  • 12.11 Mobileye N.V.
  • 12.12 Aurora Innovation, Inc.
  • 12.13 Yandex N.V.
  • 12.14 NVIDIA Corporation
  • 12.15 Aptiv PLC
  • 12.16 Hyundai Motor Company

List of Tables

  • Table 1 Global Robo-Taxi Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Robo-Taxi Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Robo-Taxi Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Robo-Taxi Market Outlook, By Sensing Systems (2024-2032) ($MN)
  • Table 5 Global Robo-Taxi Market Outlook, By LiDAR (Light Detection and Ranging) (2024-2032) ($MN)
  • Table 6 Global Robo-Taxi Market Outlook, By Radar (Radio Detection and Ranging) (2024-2032) ($MN)
  • Table 7 Global Robo-Taxi Market Outlook, By Cameras (Computer Vision) (2024-2032) ($MN)
  • Table 8 Global Robo-Taxi Market Outlook, By Ultrasonic Sensors (2024-2032) ($MN)
  • Table 9 Global Robo-Taxi Market Outlook, By Positioning Systems (2024-2032) ($MN)
  • Table 10 Global Robo-Taxi Market Outlook, By GNSS/GPS (Global Navigation Satellite System) (2024-2032) ($MN)
  • Table 11 Global Robo-Taxi Market Outlook, By IMU (Inertial Measurement Unit) & Odometry (2024-2032) ($MN)
  • Table 12 Global Robo-Taxi Market Outlook, By Computing Hardware (2024-2032) ($MN)
  • Table 13 Global Robo-Taxi Market Outlook, By Central Processing Units (CPUs) & Graphics Processing Units (GPUs) (2024-2032) ($MN)
  • Table 14 Global Robo-Taxi Market Outlook, By Systems-on-a-Chip (SoC) / Electronic Control Units (ECUs) (2024-2032) ($MN)
  • Table 15 Global Robo-Taxi Market Outlook, By Communication Hardware (2024-2032) ($MN)
  • Table 16 Global Robo-Taxi Market Outlook, By V2X (Vehicle-to-Everything) Communication Modules (2024-2032) ($MN)
  • Table 17 Global Robo-Taxi Market Outlook, By 5G/LTE Modems (2024-2032) ($MN)
  • Table 18 Global Robo-Taxi Market Outlook, By Software (2024-2032) ($MN)
  • Table 19 Global Robo-Taxi Market Outlook, By Autonomous Driving (AD) Software Stack (2024-2032) ($MN)
  • Table 20 Global Robo-Taxi Market Outlook, By Perception Software (2024-2032) ($MN)
  • Table 21 Global Robo-Taxi Market Outlook, By Localization Software (2024-2032) ($MN)
  • Table 22 Global Robo-Taxi Market Outlook, By Path Planning and Decision-Making (2024-2032) ($MN)
  • Table 23 Global Robo-Taxi Market Outlook, By Actuation/Vehicle Control (2024-2032) ($MN)
  • Table 24 Global Robo-Taxi Market Outlook, By High-Definition (HD) Mapping and Data (2024-2032) ($MN)
  • Table 25 Global Robo-Taxi Market Outlook, By Static Map Layers (2024-2032) ($MN)
  • Table 26 Global Robo-Taxi Market Outlook, By Dynamic Map Layers (2024-2032) ($MN)
  • Table 27 Global Robo-Taxi Market Outlook, By Map Updating and Maintenance Tools (2024-2032) ($MN)
  • Table 28 Global Robo-Taxi Market Outlook, By Operating Systems and Frameworks (2024-2032) ($MN)
  • Table 29 Global Robo-Taxi Market Outlook, By Safety-Certified Operating Systems (2024-2032) ($MN)
  • Table 30 Global Robo-Taxi Market Outlook, By Development Frameworks (2024-2032) ($MN)
  • Table 31 Global Robo-Taxi Market Outlook, By Cloud and Fleet Management Software (2024-2032) ($MN)
  • Table 32 Global Robo-Taxi Market Outlook, By Teleoperation and Remote Assistance Software (2024-2032) ($MN)
  • Table 33 Global Robo-Taxi Market Outlook, By Fleet Scheduling, Optimization, and Monitoring Platforms (2024-2032) ($MN)
  • Table 34 Global Robo-Taxi Market Outlook, By Data Annotation and Simulation Tools (2024-2032) ($MN)
  • Table 35 Global Robo-Taxi Market Outlook, By Service Type (2024-2032) ($MN)
  • Table 36 Global Robo-Taxi Market Outlook, By Ride-Hailing (2024-2032) ($MN)
  • Table 37 Global Robo-Taxi Market Outlook, By Car Rental/Sharing (2024-2032) ($MN)
  • Table 38 Global Robo-Taxi Market Outlook, By Vehicle Type (2024-2032) ($MN)
  • Table 39 Global Robo-Taxi Market Outlook, By Cars (2024-2032) ($MN)
  • Table 40 Global Robo-Taxi Market Outlook, By Shuttles/Vans (2024-2032) ($MN)
  • Table 41 Global Robo-Taxi Market Outlook, By Propulsion (2024-2032) ($MN)
  • Table 42 Global Robo-Taxi Market Outlook, By Electric Vehicle (EV) (2024-2032) ($MN)
  • Table 43 Global Robo-Taxi Market Outlook, By Internal Combustion Engine (ICE) (2024-2032) ($MN)
  • Table 44 Global Robo-Taxi Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 45 Global Robo-Taxi Market Outlook, By Application (2024-2032) ($MN)
  • Table 46 Global Robo-Taxi Market Outlook, By Passenger Transportation (2024-2032) ($MN)
  • Table 47 Global Robo-Taxi Market Outlook, By Goods Transportation (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.