로봇 택시 시장 예측(-2032년) : 컴포넌트별, 차종별, 자율 레벨별, 비즈니스 모델별, 서비스 모델별, 추진 유형별, 용도별, 지역별 세계 분석

According to Stratistics MRC, the Global Robotaxi Market is accounted for $9.77 billion in 2025 and is expected to reach $571.04 billion by 2032 growing at a CAGR of 78.8% during the forecast period. Robotaxis, also known as autonomous taxis, are driverless vehicles providing convenient, on-demand transport in cities. Powered by artificial intelligence, LiDAR, radar, and advanced sensors, they are engineered to improve road safety, minimize congestion, and cut operating costs compared to conventional taxis. As sustainable alternatives, robotaxis support cleaner urban transport through energy-efficient systems and reduced emissions. Technology firms and automakers are expanding pilot projects across major smart cities, aligning with evolving regulations. With increasing urban density, consumer preference for affordable ride-hailing, and breakthroughs in self-driving technologies, robotaxis are set to transform mobility ecosystems and establish a futuristic, more efficient model of urban transportation.

According to AAA (American Automobile Association), the average annual cost of car ownership in the U.S. exceeded $12,000 in 2023. Robotaxis offer a cost-efficient alternative, especially for urban dwellers that drive infrequently.

Market Dynamics:

Driver:

Rising urbanization and congestion

Urban expansion and increasing congestion are major catalysts for the Robotaxi Market's growth. As urban populations swell, cities struggle with overcrowded roads and scarce parking availability. Robotaxis serve as a practical alternative by providing shared rides that reduce the reliance on private cars, thereby lowering traffic volumes. Their advanced route planning and fleet management systems improve flow and reduce travel time. Many governments are promoting sustainable urban mobility strategies, further supporting robotaxi deployment. With urban density expected to intensify, demand for affordable and efficient transportation that eases congestion is rising, creating substantial opportunities for robotaxis to play a central role in city commuting.

Restraint:

High development and operational costs

The Robotaxi Market faces significant hurdles from the high financial costs of developing and operating autonomous vehicles. Building self-driving systems demands investment in advanced tools like artificial intelligence, LiDAR, and precision sensors, all of which raise production and deployment expenses. Furthermore, ongoing requirements such as large-scale testing, regulatory approvals, and system upgrades add to operational costs. Fleet providers struggle to achieve profitability given the large initial capital needed for market entry. While technological progress and economies of scale may reduce expenses in the future, the current cost intensity continues to act as a major restraint, slowing the large-scale commercialization of robotaxi services.

Opportunity:

Growing demand for shared and on-demand mobility

The surge in demand for shared and on-demand transport is opening major opportunities in the Robotaxi Market. High costs of ownership, limited parking, and heavy congestion are prompting city dwellers to prefer pay-per-ride solutions. Robotaxis, operating through digital platforms, provide affordable and convenient alternatives to private cars, offering reliable commuting without ownership burdens. Their integration into mobility-as-a-service ecosystems makes them highly accessible and appealing, particularly to younger consumers accustomed to app-based services. As urbanization intensifies, cities are turning to shared transport options to reduce congestion and emissions. This trend is expected to accelerate robotaxi adoption, positioning them as central to future mobility solutions.

Threat:

Public resistance and trust issues

Consumer resistance and lack of trust continue to be barriers to the growth of the Robotaxi Market. Many people remain doubtful of driverless technology, fearing potential malfunctions or accidents, which are often highlighted in the media. Limited public awareness and understanding of autonomous systems further reinforce hesitation. Acceptance levels also vary based on cultural and generational factors, creating regional disparities in adoption. To gain trust, companies must emphasize safety, conduct transparent demonstrations, and provide strong evidence of reliability. Unless public confidence improves, widespread deployment of robotaxis will be difficult, delaying market expansion and creating challenges for companies aiming to scale operations.

Covid-19 Impact:

The COVID-19 outbreak had a notable impact on the Robotaxi Market by reshaping urban travel behavior and emphasizing contactless transportation. As people avoided crowded public transport to reduce infection risks, demand for driverless, on-demand vehicles increased, positioning robotaxis as a safer commuting option. At the same time, the pandemic caused delays in production, fleet deployment, and autonomous vehicle testing due to lockdowns and disrupted supply chains, temporarily hindering market expansion. Despite short-term challenges, COVID-19 underscored the value of autonomous, hygienic, and reliable mobility solutions. This period ultimately strengthened the case for robotaxi adoption, highlighting their potential to meet evolving safety and efficiency requirements in post-pandemic urban environments.

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

The LiDAR segment is expected to account for the largest market share during the forecast period due to its indispensable role in autonomous vehicle navigation and environment perception. By sending out laser beams and analyzing their reflections, LiDAR generates detailed three-dimensional maps, accurately identifying obstacles, pedestrians, and surrounding vehicles under various conditions. This precision is crucial for ensuring the safety and reliability of driverless taxi operations, positioning LiDAR as a favored technology for manufacturers and fleet managers. Its compatibility with AI algorithms, sensor fusion, and other autonomous systems enhances situational awareness and decision-making. Consequently, LiDAR remains the leading sensing solution in robotaxis, commanding a prominent share of the perception technology market.

The battery electric vehicles (BEV) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the battery electric vehicles (BEV) segment is predicted to witness the highest growth rate, driven by their environmentally friendly nature, lower maintenance and fuel costs, and seamless integration with autonomous systems. BEVs are especially advantageous for urban areas focusing on sustainability and emission reduction. Advanced battery technologies, efficient charging infrastructure, and compatibility with AI-driven driving systems enhance their suitability for robotaxi fleets. Supportive government policies, subsidies, and growing consumer demand for green transportation further fuel their adoption. As cities prioritize clean, cost-efficient urban mobility, BEVs are expected to lead the evolution of robotaxi services, fostering both market expansion and innovation in electric autonomous transportation.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to its well-established technological ecosystem, substantial investments in autonomous vehicle development, and the presence of major automotive and tech corporations. Favorable government regulations, extensive testing facilities, and consumer openness to innovative transport solutions further reinforce the region's leadership. Investments in AI systems, sensor technologies, and electric mobility enhance the capabilities of robotaxi fleets, supporting market expansion. Moreover, high urban density, strong purchasing power, and growing demand for efficient, safe, and sustainable transportation options have propelled adoption rates.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by rapid urban expansion, rising incomes, and strong governmental backing for autonomous mobility and smart city programs. Key markets like China, Japan, and South Korea are heavily investing in AI, autonomous vehicle research, and electric mobility, creating an enabling environment for robotaxi adoption. Rising consumer preference for affordable, efficient, and eco-friendly transportation, combined with supportive regulations and receptiveness to new mobility solutions, continues to drive market growth. Collectively, these dynamics make Asia-Pacific the fastest-growing market for robotaxis, with significant opportunities for technology providers and fleet operators to establish and scale autonomous taxi services across the region.

Key players in the market

Some of the key players in Robotaxi Market include Waymo LLC, Baidu Apollo, AutoX Inc., Pony.ai, Zoox Inc. (Amazon-owned), Tesla Inc., DiDi Autonomous Driving, Aptiv, Navya SA, Yandex Self-Driving Group, Uber Technologies Inc., Daimler AG, AutoMobilie.AI, Aurora Innovation and Cruise Inc.

Key Developments:

In July 2025, Baidu and global taxi-hailing firm Uber Technologies have agreed to work together to deploy thousands of Baidu Apollo Go robotaxis in markets outside the US and mainland China, a move that comes as Tesla seeks to expand its robotaxis in the US. The multi-year deal will see robotaxis deployed in Asia and the Middle East later this year.

In July 2025, Pony AI Inc. and Dubai's Roads and Transport Authority (RTA) recently held a robotaxi unveiling ceremony in Dubai, formalizing their partnership to advance L4 autonomous mobility solutions. Through this strategic collaboration, both sides have reaffirmed their commitment to integrating cutting-edge self-driving technology into Dubai's extensive transportation network.

In April 2025, Waymo and Toyota Motor Corporation ("Toyota") reached a preliminary agreement to explore a collaboration focused on accelerating the development and deployment of autonomous driving technologies. Woven by Toyota will also join the potential collaboration as Toyota's strategic enabler, contributing its strengths in advanced software and mobility innovation.

Components Covered:

• LiDAR
• RADAR
• Cameras
• Ultrasonic Sensors
• AI Software
• Connectivity Modules
• Sensor Fusion Systems
• V2X Communication Units

Vehicle Types Covered:

• Cars
• Vans

Autonomy Levels Covered:

• Level 4 (High Automation)
• Level 5 (Full Automation)

Business Models Covered:

• OEM-Owned Fleets
• Platform-Licensed Fleets
• Third-Party Operators

Service Models Covered:

• On-Demand Ride-Hailing
• Station-Based Shuttles
• Scheduled Autonomous Transit
• Subscription-Based Mobility

Propulsion Types Covered:

• Battery Electric Vehicles (BEV)
• Hybrid Electric Vehicles (HEV)
• Fuel Cell Electric Vehicles (FCEV)
• Internal Combustion Engine (ICE)

Applications Covered:

• Passenger Transport
• Goods Delivery
• First-Mile / Last-Mile Connectivity
• Station-Based Shuttle Services
• Mixed-Use Fleets

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 Robotaxi Market, By Component

• 5.1 Introduction
• 5.2 LiDAR
• 5.3 RADAR
• 5.4 Cameras
• 5.5 Ultrasonic Sensors
• 5.6 AI Software
• 5.7 Connectivity Modules
• 5.8 Sensor Fusion Systems
• 5.9 V2X Communication Units

6 Global Robotaxi Market, By Vehicle Type

• 6.1 Introduction
• 6.2 Cars
  • 6.2.1 Sedans
  • 6.2.2 Hatchbacks
• 6.3 Vans
  • 6.3.1 Shuttles
  • 6.3.2 MPVs

7 Global Robotaxi Market, By Autonomy Level

• 7.1 Introduction
• 7.2 Level 4 (High Automation)
• 7.3 Level 5 (Full Automation)

8 Global Robotaxi Market, By Business Model

• 8.1 Introduction
• 8.2 OEM-Owned Fleets
• 8.3 Platform-Licensed Fleets
• 8.4 Third-Party Operators

9 Global Robotaxi Market, By Service Model

• 9.1 Introduction
• 9.2 On-Demand Ride-Hailing
• 9.3 Station-Based Shuttles
• 9.4 Scheduled Autonomous Transit
• 9.5 Subscription-Based Mobility

10 Global Robotaxi Market, By Propulsion Type

• 10.1 Introduction
• 10.2 Battery Electric Vehicles (BEV)
• 10.3 Hybrid Electric Vehicles (HEV)
• 10.4 Fuel Cell Electric Vehicles (FCEV)
• 10.5 Internal Combustion Engine (ICE)

11 Global Robotaxi Market, By Application

• 11.1 Introduction
• 11.2 Passenger Transport
• 11.3 Goods Delivery
• 11.4 First-Mile / Last-Mile Connectivity
• 11.5 Station-Based Shuttle Services
• 11.6 Mixed-Use Fleets

12 Global Robotaxi Market, By Geography

• 12.1 Introduction
• 12.2 North America
  • 12.2.1 US
  • 12.2.2 Canada
  • 12.2.3 Mexico
• 12.3 Europe
  • 12.3.1 Germany
  • 12.3.2 UK
  • 12.3.3 Italy
  • 12.3.4 France
  • 12.3.5 Spain
  • 12.3.6 Rest of Europe
• 12.4 Asia Pacific
  • 12.4.1 Japan
  • 12.4.2 China
  • 12.4.3 India
  • 12.4.4 Australia
  • 12.4.5 New Zealand
  • 12.4.6 South Korea
  • 12.4.7 Rest of Asia Pacific
• 12.5 South America
  • 12.5.1 Argentina
  • 12.5.2 Brazil
  • 12.5.3 Chile
  • 12.5.4 Rest of South America
• 12.6 Middle East & Africa
  • 12.6.1 Saudi Arabia
  • 12.6.2 UAE
  • 12.6.3 Qatar
  • 12.6.4 South Africa
  • 12.6.5 Rest of Middle East & Africa

13 Key Developments

• 13.1 Agreements, Partnerships, Collaborations and Joint Ventures
• 13.2 Acquisitions & Mergers
• 13.3 New Product Launch
• 13.4 Expansions
• 13.5 Other Key Strategies

14 Company Profiling

• 14.1 Waymo LLC
• 14.2 Baidu Apollo
• 14.3 AutoX Inc.
• 14.4 Pony.ai
• 14.5 Zoox Inc. (Amazon-owned)
• 14.6 Tesla Inc.
• 14.7 DiDi Autonomous Driving
• 14.8 Aptiv
• 14.9 Navya SA
• 14.10 Yandex Self-Driving Group
• 14.11 Uber Technologies Inc.
• 14.12 Daimler AG
• 14.13 AutoMobilie.AI
• 14.14 Aurora Innovation
• 14.15 Cruise Inc