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市場調查報告書
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1544590

Robotaxi市場、機會、成長動力、產業趨勢分析與預測,2024-2032年

Robotaxi Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

出版日期: | 出版商: Global Market Insights Inc. | 英文 220 Pages | 商品交期: 2-3個工作天內

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簡介目錄

由於自動駕駛汽車技術的進步提高了自動駕駛汽車的安全性和可靠性,全球機器人計程車市場預計從 2024 年到 2032 年複合年成長率將超過 75%。此外,主要科技公司和汽車製造商不斷增加的投資正在加速機器人計程車服務的部署。消費者對便利且經濟高效的交通解決方案的需求不斷成長,有助於市場擴張,因為機器人計程車有望為傳統計程車服務提供負擔得起且高效的替代方案。支持性的監管框架和智慧城市舉措正在為自動駕駛計程車的採用創造有利條件。

舉例來說,2024年3月,百度透過Apollo Go在武漢推出了中國首個24/7的Robotaxi服務,標誌著自動駕駛領域取得了重大進展。該服務擴展了百度的自動駕駛乘車平台,以完全無人駕駛乘車為特色,並專注於以用戶為中心的創新。

機器人計程車市場根據車輛類型、應用、服務類型、最終用途和地區進行分類。

與標準汽車相比,貨車細分市場由於其多功能性和容納更多乘客和貨物的能力,在預測期內將呈現出值得注意的複合年成長率。基於廂型車的機器人計程車被視為滿足個人和團體運輸需求的理想解決方案,提供更高的舒適度和空間。它們能夠服務於家庭旅行、共乘服務和最後一英里交付等多種應用,這使它們成為更具吸引力的選擇。

到2032 年,客運領域將佔據顯著的機器人計程車市場佔有率。的替代方案。客運應用的創新,例如無縫預訂流程、即時追蹤和個人化用戶體驗,正在提高客戶滿意度。隨著城市化的快速發展和對可擴展運輸解決方案的需求,客運市場佔有率將會激增。

到 2032 年,歐洲機器人計程車市場將佔據重要的收入佔有率,因為嚴格的環境法規有利於更清潔的交通解決方案,使自動駕駛電動車成為一個引人注目的選擇。人工智慧和感測器系統的技術進步正在增強機器人計程車服務的安全性和可靠性。此外,歐洲對智慧城市計劃和公共交通現代化的關注正在支持將自動駕駛汽車整合到現有的交通系統中。消費者對便利、高效和永續行動解決方案的興趣將進一步推動整個歐洲機器人計程車產業的成長。

目錄

第 1 章:方法與範圍

第 2 章:執行摘要

第 3 章:產業洞察

  • 產業生態系統分析
  • 供應商矩陣
  • 利潤率分析
  • 技術與創新格局
  • 專利分析
  • 重要新聞和舉措
  • 監管環境
  • 衝擊力
    • 成長動力
      • 自動駕駛技術的進步
      • 都市化與交通堵塞
      • 環境法規與永續發展目標
      • 經濟可行性和成本效率
      • 不斷變化的消費者偏好和技術接受度
    • 產業陷阱與挑戰
      • 監管環境和法律框架
      • 技術複雜性與營運挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第 4 章:競爭格局

  • 介紹
  • 公司市佔率分析
  • 競爭定位矩陣
  • 戰略展望矩陣

第 5 章:市場估計與預測:按車型分類,2021 - 2032 年

  • 主要趨勢
  • 汽車
  • 貨車

第 6 章:市場估計與預測:按應用分類,2021 - 2032

  • 主要趨勢
  • 交通便利
  • 客運

第 7 章:市場估計與預測:按服務類型,2021 - 2032 年

  • 主要趨勢
  • 汽車租賃
  • 基於站

第 8 章:市場估計與預測:按最終用途,2021 - 2032 年

  • 主要趨勢
  • 共享出行
  • 企業車隊

第 9 章:市場估計與預測:按地區,2021 - 2032

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太地區其他地區
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地區
  • MEA
    • 阿拉伯聯合大公國
    • 沙烏地阿拉伯
    • MEA 的其餘部分

第 10 章:公司簡介

  • 2Getthere
  • Aeva
  • Aptiv PLC
  • Argo AI
  • Aurora Innovation
  • AutoX, Inc
  • Baidu, Inc.
  • Beijing Didi Chuxing Technology Company Ltd
  • Beijing Xiaoju Technology Co., Ltd.
  • Cruise LLC
  • EasyMile
  • Einride
  • Local Motors
  • Lyft, Inc
  • May Mobility
  • Motional, Inc
  • Navya
  • Nuro
  • Oxbotica
  • PONY.AI
  • Uber Technologies, Inc
  • Velodyne Lidar
  • Voyage
  • Waymo LLC
  • Zoox, Inc
簡介目錄
Product Code: 10123

Global Robotaxi Market is set to experience over 75% CAGR from 2024 to 2032, due to advancements in autonomous vehicle technology that enhance the safety and reliability of self-driving cars. Additionally, growing investments from major technology companies and automotive manufacturers are accelerating the deployment of robotaxi services. The increased consumer demand for convenient and cost-effective transportation solutions contributes to market expansion, as robotaxis promises to offer affordable and efficient alternatives to traditional taxi services. The supportive regulatory frameworks and smart city initiatives are creating favorable conditions for the adoption of autonomous taxis.

Quoting an instance, in March 2024, Baidu launched China's first 24/7 robotaxi service through Apollo Go in Wuhan, marking a major advancement in autonomous driving. This service expands Baidu's autonomous ride-hailing platform, featuring fully driverless rides and a focus on user-centric innovations.

The robotaxi market is categorized based on vehicle type, application, service type, end use, and region.

The vans segment will exhibit a noteworthy CAGR during the forecast period, owing to their versatility and capacity to accommodate more passengers and cargo compared to standard cars. Van-based robotaxis are viewed as ideal solutions for both individual and group transportation needs, offering enhanced comfort and space. Their ability to serve diverse applications, such as family travel, ride-sharing services, and last-mile delivery, makes them a more attractive option.

The passenger transport segment will hold a notable robotaxi market share by 2032. The increasing preference for convenient, on-demand transportation solutions has accelerated the adoption of robotaxis, which offers a cost-effective alternative to traditional taxis and ride-shares. Innovations in passenger transport applications, such as seamless booking processes, real-time tracking, and personalized user experiences, are improving customer satisfaction. With rapid urbanization and the need for scalable transport solutions, the passenger transport segment share will proliferate.

By 2032, the Europe robotaxi market will capture a significant revenue share, as stringent environmental regulations favor cleaner transportation solutions, positioning autonomous EVs as a compelling choice. Technological advancements in AI and sensor systems are enhancing the safety and reliability of robotaxi services. Additionally, Europe's focus on smart city initiatives and public transportation modernization is supporting the integration of autonomous vehicles into existing transit systems. Consumer interest in convenient, efficient, and sustainable mobility solutions will further propel the growth of the robotaxi industry across Europe.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definition
  • 1.2 Base estimates and calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid sources
      • 1.4.2.2 Public sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Vendor matrix
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 Advancements in autonomous driving technology
      • 3.8.1.2 Urbanization and traffic congestion
      • 3.8.1.3 Environmental regulations and sustainability goals
      • 3.8.1.4 Economic viability and cost efficiency
      • 3.8.1.5 Changing consumer preferences and technological acceptance
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 Regulatory landscape and legal frameworks
      • 3.8.2.2 Technological complexity and operational challenges
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Vehicle Type, 2021 - 2032 (USD Million)

  • 5.1 Key trends
  • 5.2 Cars
  • 5.3 Vans

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 (USD Million)

  • 6.1 Key trends
  • 6.2 Good transport
  • 6.3 Passenger transport

Chapter 7 Market Estimates and Forecast, By Service Type, 2021 - 2032 (USD Million)

  • 7.1 Key trends
  • 7.2 Car rental
  • 7.3 Station based

Chapter 8 Market Estimates and Forecast, By End Use, 2021 - 2032 (USD Million)

  • 8.1 Key trends
  • 8.2 Shared mobility
  • 8.3 Corporate fleet

Chapter 9 Market Estimates and Forecast, By Region, 2021 - 2032 (USD Million)

  • 9.1 Key trends
  • 9.2 North America
    • 9.2.1 U.S.
    • 9.2.2 Canada
  • 9.3 Europe
    • 9.3.1 UK
    • 9.3.2 Germany
    • 9.3.3 France
    • 9.3.4 Italy
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 China
    • 9.4.2 India
    • 9.4.3 Japan
    • 9.4.4 South Korea
    • 9.4.5 Rest of Asia Pacific
  • 9.5 Latin America
    • 9.5.1 Brazil
    • 9.5.2 Mexico
    • 9.5.3 Rest of Latin America
  • 9.6 MEA
    • 9.6.1 UAE
    • 9.6.2 Saudi Arabia
    • 9.6.3 Rest of MEA

Chapter 10 Company Profiles

  • 10.1 2Getthere
  • 10.2 Aeva
  • 10.3 Aptiv PLC
  • 10.4 Argo AI
  • 10.5 Aurora Innovation
  • 10.6 AutoX, Inc
  • 10.7 Baidu, Inc.
  • 10.8 Beijing Didi Chuxing Technology Company Ltd
  • 10.9 Beijing Xiaoju Technology Co., Ltd.
  • 10.10 Cruise LLC
  • 10.11 EasyMile
  • 10.12 Einride
  • 10.13 Local Motors
  • 10.14 Lyft, Inc
  • 10.15 May Mobility
  • 10.16 Motional, Inc
  • 10.17 Navya
  • 10.18 Nuro
  • 10.19 Oxbotica
  • 10.20 PONY.AI
  • 10.21 Uber Technologies, Inc
  • 10.22 Velodyne Lidar
  • 10.23 Voyage
  • 10.24 Waymo LLC
  • 10.25 Zoox, Inc