로보택시 시장 : 기회, 성장 촉진요인, 산업 동향 분석과 예측(2024-2032년)

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