封面
市场调查报告书
商品编码
1544590

Robotaxi市场、机会、成长动力、产业趋势分析与预测,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个工作天内

价格
简介目录

由于自动驾驶汽车技术的进步提高了自动驾驶汽车的安全性和可靠性,全球机器人计程车市场预计从 2024 年到 2032 年复合年增长率将超过 75%。此外,主要科技公司和汽车製造商不断增加的投资正在加速机器人计程车服务的部署。消费者对便利且经济高效的交通解决方案的需求不断增长,有助于市场扩张,因为机器人计程车有望为传统计程车服务提供负担得起且高效的替代方案。支持性的监管框架和智慧城市倡议正在为自动驾驶计程车的采用创造有利条件。

举例来说,2024年3月,百度透过Apollo Go在武汉推出了中国首个24/7的Robotaxi服务,标誌着自动驾驶领域取得了重大进展。该服务扩展了百度的自动驾驶乘车平台,以完全无人驾驶乘车为特色,并专注于以用户为中心的创新。

机器人计程车市场根据车辆类型、应用、服务类型、最终用途和地区进行分类。

与标准汽车相比,货车细分市场由于其多功能性和容纳更多乘客和货物的能力,在预测期内将呈现出值得注意的复合年增长率。基于厢型车的机器人计程车被视为满足个人和团体运输需求的理想解决方案,提供更高的舒适度和空间。它们能够服务于家庭旅行、共乘服务和最后一英里交付等多种应用,这使它们成为更具吸引力的选择。

到2032 年,客运领域将占据显着的机器人计程车市场份额。的替代方案。客运应用的创新,例如无缝预订流程、即时追踪和个人化用户体验,正在提高客户满意度。随着城市化的快速发展和对可扩展运输解决方案的需求,客运市场份额将会激增。

到 2032 年,欧洲机器人计程车市场将占据重要的收入份额,因为严格的环境法规有利于更清洁的交通解决方案,使自动驾驶电动车成为一个引人注目的选择。人工智慧和感测器系统的技术进步正在增强机器人计程车服务的安全性和可靠性。此外,欧洲对智慧城市计划和公共交通现代化的关注正在支持将自动驾驶汽车整合到现有的交通系统中。消费者对便利、高效和永续行动解决方案的兴趣将进一步推动整个欧洲机器人计程车产业的成长。

目录

第 1 章:方法与范围

第 2 章:执行摘要

第 3 章:产业洞察

  • 产业生态系统分析
  • 供应商矩阵
  • 利润率分析
  • 技术与创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 自动驾驶技术的进步
      • 都市化与交通拥堵
      • 环境法规与永续发展目标
      • 经济可行性和成本效率
      • 不断变化的消费者偏好和技术接受度
    • 产业陷阱与挑战
      • 监管环境和法律框架
      • 技术复杂性与营运挑战
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章:竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章:市场估计与预测:按车型划分,2021 - 2032 年

  • 主要趋势
  • 汽车
  • 货车

第 6 章:市场估计与预测:按应用分类,2021 - 2032

  • 主要趋势
  • 交通便利
  • 客运

第 7 章:市场估计与预测:按服务类型,2021 - 2032 年

  • 主要趋势
  • 汽车租赁
  • 基于站

第 8 章:市场估计与预测:按最终用途,2021 - 2032 年

  • 主要趋势
  • 共享出行
  • 企业车队

第 9 章:市场估计与预测:按地区,2021 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 沙乌地阿拉伯
    • MEA 的其余部分

第 10 章:公司简介

  • 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
简介目录
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