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市場調查報告書
商品編碼
1876761

2032年自動駕駛計程車市場預測：按組件、服務類型、車輛類型、推進方式、應用和區域分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球無人駕駛計程車市場價值將達到 33 億美元，到 2032 年將達到 1,653 億美元。

預計在預測期內，自動駕駛計程車市場將以74.2%的複合年成長率成長。自動駕駛計程車市場是一種利用自動駕駛車輛在都市區提供隨選出共乘服務的自動化交通方式。各公司正在開發汽車平臺和安全檢驗，以及感知、規劃和車隊協調軟體。自動駕駛計程車有望降低營運成本、提高運轉率並減少停車位需求，但仍面臨監管、安全和社會接受度方面的障礙。擴充性依賴於強大的地圖技術、邊緣運算以及在混合交通環境下的效能。法規結構和與政府的合作將決定其早期商業部署和地理擴張。

對高效、經濟、便利的城市交通解決方案的需求日益成長

市場的主要促進因素是日益嚴重的都市區擁擠和傳統交通途徑的限制。消費者正在積極尋求可靠且經濟實惠的出行方式，以取代私家車和傳統計程車。無人駕駛計程車透過提供按需點對點交通服務，直接應對了這項挑戰，顯著降低了出行時間和成本。消費者對便利都市區交通日益成長的需求，正在催生對自動駕駛叫車服務的強勁且持續的需求，從而刺激該領域的進一步投資和成長，以滿足這一明確的市場需求。

實施初期成本較高

最大的阻礙因素是開發和部署這項技術所需的巨額資金。安全可靠的自動駕駛汽車需要昂貴的感測器、強大的計算硬體以及多年的複雜軟體工程。此外，建構營運基礎設施和車隊也構成巨大的財務障礙。這些高昂的初始成本構成了准入門檻，並可能減緩商業化進程，因為企業必須達到一定的規模才能開始獲得巨額投資的回報。

拓展至共用旅遊服務

將無人駕駛計程車融入更廣泛的共用出行生態系統蘊藏著巨大的機遇，例如將其與公共交通網路整合，並將其作為「最後一公里」/「首公里」出行解決方案。這將有助於市場拓展，超越傳統的點對點出行模式。此外，車隊營運商還可以利用自動駕駛平台，透過提供多元化服務（例如自動駕駛配送和物流）來創造新的高價值收入來源。這種策略性擴張將最大限度地提升每輛車的效用和盈利，並使其經營模式從純粹的客運轉型為多功能出行服務。

網路安全風險和資料隱私洩露

市場推廣的最大威脅是惡意網路攻擊的風險，這些攻擊可能破壞車輛控制系統並造成安全隱患。此外，營運所需的持續資料收集也引發了嚴重的隱私擔憂。重大的資料外洩或駭客攻擊事件可能嚴重損害公共信任，引發監管機構的強烈反對，並阻礙整個產業的進步。因此，確保強大的網路安全和透明的資料處理通訊協定不僅是一項技術挑戰，也是獲得社會和監管機構認可的關鍵前提。

新冠疫情的感染疾病：

疫情初期擾亂了整個產業，導致車輛測試停滯，關鍵零件供應鏈放緩。然而，疫情也扮演了催化劑的作用，加速了人們對非接觸式交通途徑的需求。這場危機凸顯了自動駕駛汽車在疫情期間維持出行便利的價值，並展現了其加速獲得長期監管認可和提升消費者興趣的潛力。因此，儘管研發進度暫時延緩，但無人駕駛計程車的核心價值提案得到了強化，人們更加關注其在後疫情時代的適應性和衛生優勢。

預計在預測期內，汽車產業將佔據最大的市場佔有率。

預計在預測期內，乘用車細分市場將佔據最大的市場佔有率。這是因為四輪汽車是目前共享汽車和個人轎車的直接且合乎邏輯的繼任者。它們的配置非常適合大多數都市區出行，通常可搭載一至四名乘客。此外，汽車製造商和科技公司的大規模研發工作也主要集中在乘用車上，乘用車有望成為首個也是最普遍的自動駕駛汽車類型，在全球各大城市實現商業化部署和規模化應用。

預計在預測期內，電動車（EV）細分市場將實現最高的複合年成長率。

在自動駕駛和電氣化之間強大的協同效應的推動下，電動車 (EV) 細分市場預計將在預測期內實現最高成長率。電動動力傳動系統每英里營運成本低，使其成為服務型經營模式盈利的關鍵促進因素。此外，電動車簡化的機械特性與自動駕駛系統的要求高度契合。監管機構大力推動零排放交通和企業永續性目標，促使大多數無人駕駛計程車業者策略性地轉型為全電動式汽車，從而推動了該細分市場的快速擴張。

佔比最大的地區：

在整個預測期內，由於關鍵技術開發商的集中以及早期階段的大規模投資，北美預計將保持最大的市場佔有率。亞利桑那州和加利福尼亞州等關鍵州的法規環境相對開放，允許進行廣泛的實地測試和早期商業部署。此外，消費者對共乘出行的高度認知以及當地已有的共享出行文化，共同造就了一個易於接受的市場。技術領先優勢、早期監管支援以及市場認可，使北美在全球擁有顯著的先發優勢。

年複合成長率最高的地區：

預計亞太地區在預測期內將呈現最高的複合年成長率。這主要歸因於該地區龐大的城市人口以及特大城市嚴重的交通堵塞問題。中國和日本等國政府正積極支持自動駕駛汽車的研發，將其視為未來出行的戰略解決方案。此外，該地區擁有大量精通科技且渴望接受新型出行服務的民眾，這為自動駕駛汽車的快速普及提供了沃土。正是這種由迫切的都市區需求、強力的政府支持和消費者熱情共同推動的強勁成長，使得亞太地區實現了爆炸式成長。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • 新冠疫情的影響

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. 全球自動駕駛計程車市場（按組件分類）

  • 介紹
  • 硬體
    • 感測系統
      • LiDAR（光探測和測距）
      • 雷達（無線電探測和測距）
      • 攝影機（電腦視覺）
      • 超音波感測器
    • 定位系統
      • GNSS/GPS（全球導航衛星系統）
      • 慣性測量單元 (IMU) 和里程計
    • 計算硬體
      • 中央處理器（CPU）和圖形處理器（GPU）
      • 系統晶片(SoC)/電控系統(ECU)
    • 通訊硬體
      • V2X（車輛通訊）通訊模組
      • 5G/LTE調變解調器
  • 軟體
    • 自動駕駛（AD）軟體棧
      • 辨識軟體
      • 在地化軟體
      • 路線規劃與決策
      • 執行器/車輛控制
    • 高清（HD）地圖和數據
      • 靜態地圖公司
      • 動態匹配公司
      • 地圖更新與維護工具
    • 作業系統和框架
      • 安全認證作業系統
      • 發展框架
    • 雲端和車隊管理軟體
      • 遠端控制和遠端援助軟體
      • 車隊調度、最佳化和監控平台
      • 數據標註與模擬工具

6. 全球機器人計程車市場按服務類型分類

  • 介紹
  • 叫車服務
  • 汽車租賃/共享

7. 全球無人駕駛計程車市場（依車輛類型分類）

  • 介紹
  • 車
  • 接駁車/麵包車

8. 全球無人駕駛計程車市場依推進類型分類

  • 介紹
  • 電動車（EV）
  • 內燃機（ICE）
  • 混合

第9章 全球機器人計程車市場（按應用分類）

  • 介紹
  • 客運
  • 貨物運輸

第10章 全球機器人計程車市場（按地區分類）

  • 介紹
  • 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
    • 南美洲其他地區
  • 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
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第12章 企業概況

  • 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.