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市場調查報告書
商品編碼
2023983

2034年自動駕駛計程車市場預測：按組件、車輛類型、服務類型、推進方式、應用和區域分類的全球分析

Robo-taxis Market Forecasts to 2034 - Global Analysis By Component (Camera, Radar, LiDAR, Ultrasonic Sensors and Processing Units), Vehicle Type, Service Type, Propulsion, Application 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，全球無人駕駛計程車市場規模將達到 34 億美元，並在預測期內以 91.8% 的複合年成長率成長，到 2034 年將達到 6,185 億美元。

自動駕駛計程車是利用人工智慧、感測器、攝影機、GPS和機器學習等最尖端科技提供按需出行服務的無人駕駛車輛。這些車輛的設計目標是在無需人為干預的情況下安全行駛。其主要目標包括降低出行成本、緩解交通堵塞以及改善都市區通勤者的出行體驗。 Waymo、Cruise和百度等主要企業正在全球多個城市開發和部署自動駕駛計程車服務。透過減少人為駕駛失誤，它們顯著提高了道路安全。隨著技術的不斷創新，自動駕駛計程車有望變革城市交通系統，並在未來的智慧城市建設中發揮關鍵作用。

根據國際能源總署（IEA，2024）的數據，2023年全球電動車（EV）銷量超過1,400萬輛，佔全球汽車總銷量的18%，顯示電動車市場整體呈現強勁的發展勢頭。

共享出行服務的需求日益成長

人們對共享出行的日益偏好正顯著推動著無人駕駛計程車行業的發展。許多都市區通勤者正在放棄私家車，轉而選擇靈活且便利的按需出行服務。無人駕駛計程車可透過應用程式輕鬆叫車，為日常出行提供了更經濟、更便捷的方式。這種轉變在年輕一代中尤其明顯，他們更重視的是出行便利而非車輛所有權。共享出行提高了車輛利用率，減少了不必要的運作。隨著叫車服務在全球範圍內的擴張，無人駕駛計程車被視為這些平台的自然延伸，有望提供一種經濟實惠、靈活高效的出行方式，以滿足都市區用戶不斷變化的出行需求。

高昂的開發和實施成本

自動駕駛計程車產業受到極高的研發和營運成本的嚴重限制。開發自動駕駛車輛需要人工智慧平台、LiDAR、雷達、感測器和先進的地圖系統等高成本的技術。企業還需在測試、模擬和實地部署方面投入巨資，以確保安全性和可靠性。此外，建造支援基礎設施、管理車隊和維護系統也需要額外的成本。這些財務負擔成為參與企業的主要障礙，延緩了它們進入市場的進程。即使是成熟的主要企業，在短期內也難以獲利。

智慧城市和互聯基礎設施的擴展

智慧城市和先進基礎設施的加大投入，為無人駕駛計程車產業創造了巨大的發展機會。世界各國政府都在積極發展互聯交通系統、基於物聯網的道路網路以及5G等高速通訊技術。這些進步為自動駕駛出行解決方案創造了有利環境。無人駕駛計程車可以透過與智慧交通系統、數位導航工具和即時數據平台協同工作，提高效率並緩解交通堵塞。 Waymo和百度等主要企業正積極進行自動駕駛服務的試點計畫。隨著智慧城市的進一步發展，無人駕駛計程車有望在下一代城市交通系統中發揮核心作用。

來自共乘和傳統交通服務的激烈競爭。

來自現有叫車公司和傳統計程車服務的激烈競爭對無人駕駛計程車行業構成嚴重威脅。優步和Lyft等大型平台憑藉其成熟的網路和客戶信任，已經佔據了城市出行市場的大部分佔有率。傳統計程車服務在許多地區仍然隨處可見。這些競爭對手能夠迅速部署自動駕駛技術，給新參與企業帶來更大壓力。價格競爭和強大的品牌忠誠度進一步加劇了這一局面，使得無人駕駛計程車業者獲取用戶更加困難。因此，自動駕駛出行公司越來越難以獲得可觀的市場佔有率並實現永續盈利。

新冠疫情的影響：

新冠疫情對無人駕駛計程車市場產生了正面和負面的雙重影響。初期，封鎖、旅行限制和客流量下降嚴重擾亂了試點計畫和部署活動。多個自動駕駛汽車項目被迫延期或暫停，投資活動也隨之放緩。然而，疫情也提升了人們對非接觸式交通系統的興趣。由於乘客與司機之間的人際接觸減少，無人駕駛計程車被視為一種更安全的出行方式。各公司開始更加關注衛生措施、遠端操作和自動配送服務。儘管短期成長受到影響，但對自動駕駛出行解決方案的長期需求卻顯著提升。

在預測期內，相機細分市場預計將佔據最大佔有率。

在預測期內，攝影機預計將佔據最大的市場佔有率。攝影機提供詳細的視覺訊息，使自動駕駛車輛能夠有效地偵測車道、交通號誌、行人、標誌和周圍物體。作為核心感知組件，攝影機提供豐富的環境訊息，支援安全駕駛決策。由於其成本效益和成像技術的不斷進步，攝影機得到了廣泛應用。在大多數自動駕駛系統中，攝影機與雷達或LiDAR整合，以提高整體精度和可靠性。由於其廣泛應用，攝影機已成為無人駕駛計程車技術系統中應用最廣泛的感測器類型。

在預測期內，電池式電動車細分市場預計將呈現最高的複合年成長率。

在預測期內，電池式電動車）細分市場預計將呈現最高的成長率。這主要歸功於人們對環境問題的日益關注以及全球向清潔永續交通解決方案的轉型。這些車輛不排放廢氣，有助於降低都市區的污染程度。此外，它們還具有成本優勢，燃料和維護成本更低。電池效率和充電速度的不斷提升進一步增強了其吸引力。同時，政府補貼和不斷擴展的充電網路也在加速其普及。因此，電池式電動車技術正成為未來全球自動駕駛計程車營運的主要驅動力。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這主要得益於其先進的技術基礎設施和對自動駕駛汽車創新技術的早期應用。該地區匯集了許多行業巨頭，並在人工智慧和行動出行系統領域擁有強大的研發能力。美國各地政府的利好政策和正在進行的試點計畫正在推動試點營運和商業化進程。大眾對新技術的高度認知和接受度也促進了市場成長。此外，汽車製造商與科技公司之間的合作正在加速創新。

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城市擴張和主導大力支持自動駕駛出行的舉措。中國、日本和韓國等國家在部署智慧交通系統和電動車技術方面處於領先地位。不斷成長的城市人口和嚴重的交通堵塞正在推動對高效自動化出行解決方案的需求。此外，有利的政策、大規模的試點計畫以及科技公司的積極參與也促進了市場發展。

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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）
  • 區域分類
    • 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：全球自動駕駛計程車市場：按組件分類

  • 相機
  • 雷達
  • LiDAR
  • 超音波感測器
  • 處理單元

第6章：全球無人駕駛計程車市場：依車輛類型分類

  • 4級自動駕駛車輛
  • 5級自動駕駛車輛

第7章：全球無人駕駛計程車市場：依服務類型分類

  • 按需叫車服務
  • 共享出行
  • 基於站點的自動駕駛汽車租賃服務

第8章：全球無人駕駛計程車市場：以推進方式分類

  • 電池式電動車
  • 油電混合車
  • 氫燃料電池

第9章：全球無人駕駛計程車市場：依應用領域分類

  • 客運
  • 貨運/小包裹遞送

第10章：全球無人駕駛計程車市場：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11章 策略市場資訊

  • 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12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13章：公司簡介

  • Waymo LLC
  • Cruise LLC
  • Baidu Apollo Go
  • DiDi Autonomous Driving（DiDi Chuxing）
  • Tesla Inc.
  • Uber Technologies Inc.
  • Lyft, Inc.
  • Zoox, Inc.
  • Aptiv PLC
  • Motional Inc
  • Pony.ai
  • AutoX Inc.
  • WeRide
  • Aurora Innovation Inc.
  • Nuro, Inc.
  • Daimler AG
  • BMW AG
  • Ford Motor Company
Product Code: SMRC35195

According to Stratistics MRC, the Global Robo-taxis Market is accounted for $3.4 billion in 2026 and is expected to reach $618.5 billion by 2034 growing at a CAGR of 91.8% during the forecast period. Autonomous robo-taxis are driverless cars that offer transportation services on demand using cutting-edge technologies like artificial intelligence, sensors, cameras, GPS, and machine learning. These vehicles are engineered to operate safely on roads without human intervention. Their primary goals include reducing travel costs, easing traffic congestion, and improving urban mobility for commuters. Leading tech companies such as Waymo, Cruise, and Baidu are developing and deploying robo-taxi services in various cities worldwide. By reducing human driving errors, they significantly enhance road safety. With continuous innovation, robo-taxis are expected to transform urban transport systems and play a vital role in future smart cities.

According to the International Energy Agency (IEA, 2024), Global electric car sales exceeded 14 million units in 2023, representing 18% of total car sales worldwide, showing strong momentum in the parent EV market.

Market Dynamics:

Driver:

Rising demand for shared mobility services

Growing preference for shared mobility is significantly boosting the robo-taxi industry. Many urban commuters are moving away from owning private vehicles and choosing flexible, on-demand transport services instead. Robo-taxis provide easy, app-based rides that are more economical and convenient for daily travel. This shift is particularly evident among younger populations who value access rather than ownership. Shared mobility improves vehicle usage efficiency and reduces unnecessary downtime. As ride-hailing services expand globally, robo-taxis are expected to become a natural extension of these platforms, delivering affordable, flexible, and efficient transportation options that meet the evolving needs of city travelers.

Restraint:

High development and deployment costs

The robo-taxi industry is significantly constrained by very high development and operational expenses. Creating autonomous vehicles involves costly technologies such as artificial intelligence platforms, LiDAR, radar, sensors, and advanced mapping systems. Companies also spend heavily on testing, simulations, and real-world deployment to ensure safety and reliability. Additional costs arise from building supporting infrastructure, managing fleets, and maintaining systems. These financial demands create strong barriers for new companies and slow down market entry. Even established players struggle to achieve profitability in the short term.

Opportunity:

Expansion of smart cities and connected infrastructure

Growing investment in smart cities and advanced infrastructure is creating strong opportunities for the robo-taxi industry. Governments are developing connected transport systems, IoT-based road networks, and high-speed communication technologies like 5G. These advancements provide a supportive environment for autonomous mobility solutions. Robo-taxis can interact with intelligent traffic systems, digital navigation tools, and real-time data platforms to improve efficiency and reduce congestion. Leading companies such as Waymo and Baidu are actively testing autonomous services in such environments. With continued smart city development, robo-taxis are expected to play a central role in next-generation urban transportation systems.

Threat:

Intense competition from ride-hailing and traditional transport services

Strong competition from existing ride-hailing companies and conventional taxi services poses a serious threat to the robo-taxi industry. Major platforms such as Uber and Lyft already control large portions of the urban mobility market through established networks and customer trust. Traditional taxi services also remain widely used in many regions. These competitors can quickly adopt autonomous technologies, increasing pressure on new entrants. Pricing wars and strong brand loyalty further make it difficult for robo-taxi providers to attract users. Consequently, gaining significant market share and achieving sustainable profitability becomes increasingly challenging for autonomous mobility companies.

Covid-19 Impact:

The COVID-19 pandemic influenced the robo-taxis market in both negative and positive ways. In the early stages, lockdowns, travel restrictions, and reduced passenger movement caused major disruptions in testing and deployment activities. Several autonomous vehicle projects were delayed or temporarily halted, and investment activity slowed. However, the crisis also increased interest in contactless transportation systems. Robo-taxis were seen as a safer mobility option because they reduce human interaction between passengers and drivers. Companies focused more on hygiene measures, remote operations, and autonomous delivery services. While short-term growth was affected, long-term demand for autonomous mobility solutions improved significantly.

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

The camera segment is expected to account for the largest market share during the forecast period. They provide detailed visual input that allows autonomous vehicles to detect road lanes, traffic lights, pedestrians, signs, and nearby objects effectively. As a core perception component, cameras deliver rich environmental information that supports safe driving decisions. They are widely preferred because of their cost efficiency and continuous advancements in imaging technology. In most autonomous systems, cameras are integrated with radar and LiDAR to improve overall accuracy and reliability. Their extensive deployment makes them the most commonly used sensor type in robo-taxi technology systems.

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

Over the forecast period, the battery electric segment is predicted to witness the highest growth rate. This is largely due to rising environmental concerns and the global shift toward clean and sustainable transportation solutions. These vehicles produce zero tailpipe emissions and help reduce urban pollution levels. They also offer cost advantages through lower fuel and maintenance expenses. Continuous improvements in battery efficiency and charging speed are further boosting their attractiveness. In addition, government subsidies and expanding charging networks are accelerating adoption. Consequently, battery electric technology is emerging as the leading propulsion choice for future autonomous taxi operations globally.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share because of its advanced technological infrastructure and early acceptance of autonomous vehicle innovations. The region is home to major industry players and strong research and development capabilities in artificial intelligence and mobility systems. Favorable government policies and ongoing pilot projects across several U.S. cities support testing and commercialization. High public awareness and willingness to adopt new transport technologies also contribute to growth. Furthermore, partnerships between automotive manufacturers and tech firms are accelerating innovation.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urban expansion and strong government initiatives supporting autonomous mobility. Countries like China, Japan, and South Korea are at the forefront of deploying smart transport systems and electric vehicle technologies. Increasing urban population and severe traffic congestion are creating high demand for efficient, automated mobility solutions. In addition, favorable policies, large-scale testing programs, and active involvement of technology companies are boosting market development.

Key players in the market

Some of the key players in Robo-taxis Market include Waymo LLC, Cruise LLC, Baidu Apollo Go, DiDi Autonomous Driving (DiDi Chuxing), Tesla Inc., Uber Technologies Inc., Lyft, Inc., Zoox, Inc., Aptiv PLC, Motional Inc, Pony.ai, AutoX Inc., WeRide, Aurora Innovation Inc., Nuro, Inc., Daimler AG, BMW AG and Ford Motor Company.

Key Developments:

In February 2026, Uber Technologies Inc announced it has reached an agreement to acquire the delivery business of Turkish rapid grocery delivery company Getir, strengthening its position in the Turkish market. The acquisition will significantly expand Uber's delivery footprint in Turkiye, where Getir first pioneered the ultrafast grocery delivery model before expanding internationally.

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, Lyft, Inc. announced it has entered into a definitive agreement to acquire FREENOW, a leading European multi-mobility app with a taxi offering at its core, from BMW Group and Mercedes-Benz Mobility for approximately €175 million or $197 million* in cash. FREENOW will continue operating as it does today, with its talented leadership team and employees in place to drive growth across 9 countries and over 150 cities across Ireland, the United Kingdom, Germany, Greece, Spain, Italy, Poland, France, and Austria.

Components Covered:

  • Camera
  • Radar
  • LiDAR
  • Ultrasonic Sensors
  • Processing Units

Vehicle Types Covered:

  • Level 4 Autonomous Vehicles
  • Level 5 Autonomous Vehicles

Service Types Covered:

  • On-Demand Ride-hailing
  • Shared Mobility
  • Station-based Autonomous Rental

Propulsions Covered:

  • Battery Electric
  • Hybrid Electric
  • Hydrogen Fuel Cell

Applications Covered:

  • Passenger Transport
  • Goods & Parcel Delivery

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 Robo-taxis Market, By Component

  • 5.1 Camera
  • 5.2 Radar
  • 5.3 LiDAR
  • 5.4 Ultrasonic Sensors
  • 5.5 Processing Units

6 Global Robo-taxis Market, By Vehicle Type

  • 6.1 Level 4 Autonomous Vehicles
  • 6.2 Level 5 Autonomous Vehicles

7 Global Robo-taxis Market, By Service Type

  • 7.1 On-Demand Ride-hailing
  • 7.2 Shared Mobility
  • 7.3 Station-based Autonomous Rental

8 Global Robo-taxis Market, By Propulsion

  • 8.1 Battery Electric
  • 8.2 Hybrid Electric
  • 8.3 Hydrogen Fuel Cell

9 Global Robo-taxis Market, By Application

  • 9.1 Passenger Transport
  • 9.2 Goods & Parcel Delivery

10 Global Robo-taxis Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Waymo LLC
  • 13.2 Cruise LLC
  • 13.3 Baidu Apollo Go
  • 13.4 DiDi Autonomous Driving (DiDi Chuxing)
  • 13.5 Tesla Inc.
  • 13.6 Uber Technologies Inc.
  • 13.7 Lyft, Inc.
  • 13.8 Zoox, Inc.
  • 13.9 Aptiv PLC
  • 13.10 Motional Inc
  • 13.11 Pony.ai
  • 13.12 AutoX Inc.
  • 13.13 WeRide
  • 13.14 Aurora Innovation Inc.
  • 13.15 Nuro, Inc.
  • 13.16 Daimler AG
  • 13.17 BMW AG
  • 13.18 Ford Motor Company

List of Tables

  • Table 1 Global Robo-taxis Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Robo-taxis Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Robo-taxis Market Outlook, By Camera (2023-2034) ($MN)
  • Table 4 Global Robo-taxis Market Outlook, By Radar (2023-2034) ($MN)
  • Table 5 Global Robo-taxis Market Outlook, By LiDAR (2023-2034) ($MN)
  • Table 6 Global Robo-taxis Market Outlook, By Ultrasonic Sensors (2023-2034) ($MN)
  • Table 7 Global Robo-taxis Market Outlook, By Processing Units (2023-2034) ($MN)
  • Table 8 Global Robo-taxis Market Outlook, By Vehicle Type (2023-2034) ($MN)
  • Table 9 Global Robo-taxis Market Outlook, By Level 4 Autonomous Vehicles (2023-2034) ($MN)
  • Table 10 Global Robo-taxis Market Outlook, By Level 5 Autonomous Vehicles (2023-2034) ($MN)
  • Table 11 Global Robo-taxis Market Outlook, By Service Type (2023-2034) ($MN)
  • Table 12 Global Robo-taxis Market Outlook, By On-Demand Ride-hailing (2023-2034) ($MN)
  • Table 13 Global Robo-taxis Market Outlook, By Shared Mobility (2023-2034) ($MN)
  • Table 14 Global Robo-taxis Market Outlook, By Station-based Autonomous Rental (2023-2034) ($MN)
  • Table 15 Global Robo-taxis Market Outlook, By Propulsion (2023-2034) ($MN)
  • Table 16 Global Robo-taxis Market Outlook, By Battery Electric (2023-2034) ($MN)
  • Table 17 Global Robo-taxis Market Outlook, By Hybrid Electric (2023-2034) ($MN)
  • Table 18 Global Robo-taxis Market Outlook, By Hydrogen Fuel Cell (2023-2034) ($MN)
  • Table 19 Global Robo-taxis Market Outlook, By Application (2023-2034) ($MN)
  • Table 20 Global Robo-taxis Market Outlook, By Passenger Transport (2023-2034) ($MN)
  • Table 21 Global Robo-taxis Market Outlook, By Goods & Parcel Delivery (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.