세계의 무인 차량호출 시장 : 서비스 유형, 차량 유형, 최종 사용자별 예측(2025-2030년)

The Driverless Ride-hailing Market was valued at USD 410.43 million in 2023, expected to reach USD 542.43 million in 2024, and is projected to grow at a CAGR of 32.50%, to USD 2,943.24 million by 2030.

The driverless ride-hailing industry represents a transformative segment within mobility services, integrating autonomous vehicle technology with shared transportation models. Defined by its reliance on AI-driven vehicles to offer on-demand travel services without human drivers, this market is predicated on advancements in AI, sensor technology, and machine learning. The necessity of driverless ride-hailing emerges from urbanization challenges, environmental concerns, and the push for economical and efficient transport solutions. Its application stretches beyond urban commuting to include potential roles in logistics and delivery services. End-use markets notably involve urban populations, logistic providers, and shared mobility enterprises. Growth factors are significantly influenced by technological advancements, regulatory frameworks, increasing investments in autonomous vehicle technology, and a growing demand for sustainable and efficient transport solutions. Potential opportunities lie in partnerships with technology firms, expansion into underserved regions, and innovations in vehicle safety and efficiency, leveraging advancements in AI and IoT.

However, limitations and challenges impacting market growth include regulatory hurdles, safety concerns, high infrastructure costs, and public apprehension toward autonomous technologies. Market growth also faces technological challenges related to machine learning and sensor integration for reliable autonomy. Innovations are crucial in areas such as enhancing vehicle navigation systems, improving safety protocols, and developing robust data analytics for ride optimization. Research can focus on real-time analytics to optimize routes, and vehicle-to-infrastructure communication to enhance traffic flow and safety.

The nature of the driverless ride-hailing market is dynamic, driven heavily by technology, regulatory changes, and evolving consumer preferences. Companies can gain competitive advantage by investing in AI technology, forming strategic alliances, and fostering innovation in user experience and operational efficiency. Understanding and addressing legal, ethical, and societal concerns will be key to market penetration and acceptance. Collaborations with city planners and policymakers are recommended to align with urban mobility initiatives, ensuring scalable and sustainable expansion.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Driverless Ride-hailing Market

The Driverless Ride-hailing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Government incentives and policy frameworks supporting adoption of autonomous vehicle technology
  • Integration of artificial intelligence and machine learning enhancing operational efficiency and user experience
  • Continuous development of high-definition mapping and navigation technologies essential for driverless vehicles
  • Increased investment from automotive and tech companies accelerating innovation in ride-hailing markets
• Market Restraints
  • Cybersecurity issues to measure and prevent hacking and data breaches
• Market Opportunities
  • Consumer acceptance and trust towards driverless ride-hailing services in metropolitan regions
  • Impact of shared autonomous vehicle fleets on reducing urban traffic congestion
  • Opportunities arising from integration of ride-hailing services with smart city infrastructures
• Market Challenges
  • Limited infrastructure to support widespread adoption and seamless integration with urban transport

Porter's Five Forces: A Strategic Tool for Navigating the Driverless Ride-hailing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Driverless Ride-hailing Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Driverless Ride-hailing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Driverless Ride-hailing Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Driverless Ride-hailing Market

A detailed market share analysis in the Driverless Ride-hailing Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Driverless Ride-hailing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Driverless Ride-hailing Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Driverless Ride-hailing Market

A strategic analysis of the Driverless Ride-hailing Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Driverless Ride-hailing Market, highlighting leading vendors and their innovative profiles. These include Alphabet Inc., Amazon.com, Inc., Apple Inc., Aptiv PLC, Baidu, Inc., Huawei Technologies Co., Ltd., Innoviz Technologies Ltd., Intel Corporation, Luminar Technologies, Inc., Microsoft Corporation, NVIDIA Corporation, Ouster, Inc., Qualcomm Incorporated, Quanergy Systems, Inc., Robosense, Samsung Electronics Co., Ltd., Sony Group Corporation, Tencent Holdings Ltd., Velodyne Lidar, Inc., and Xilinx, Inc..

Market Segmentation & Coverage

This research report categorizes the Driverless Ride-hailing Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Service Type, market is studied across Private Ride-Hailing Services and Shared Ride-Hailing Services.
• Based on Vehicle Type, market is studied across Car, Shuttle, and Van.
• Based on End User, market is studied across Corporates and Individuals.
• Based on Business Model, market is studied across B2B and B2C.
• Based on Ride Frequency, market is studied across Frequent Users and One-Time Users.
• Based on Payment Method, market is studied across Credit/Debit Card, Cryptocurrency, and E-Wallets.
• Based on Technology Integration, market is studied across AI and Machine Learning, Blockchain, and IoT.
• Based on Autonomy Level, market is studied across Fully Autonomous and Semi-Autonomous.
• Based on User Demographics, market is studied across Age Group, Income Level, and Occupation. The Age Group is further studied across 18-25, 26-35, 36-45, and 46+. The Income Level is further studied across High Income, Low Income, and Medium Income. The Occupation is further studied across Retired Individuals, Students, and Working Professionals.
• Based on Service Accessibility, market is studied across Mobile Apps and Web Platforms.
• Based on Customer Experience, market is studied across Booking and Navigation and In-Ride Features. The Booking and Navigation is further studied across Ease of Booking and Real-Time Tracking. The In-Ride Features is further studied across Comfort Features, Entertainment Options, and Wi-Fi Access.
• Based on Operational Time, market is studied across Daytime Services and Nighttime Services.
• Based on Environmental Impact, market is studied across Eco-Friendly Policies, Electric Vehicles, and Hybrid Vehicles.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Government incentives and policy frameworks supporting adoption of autonomous vehicle technology
    • 5.1.1.2. Integration of artificial intelligence and machine learning enhancing operational efficiency and user experience
    • 5.1.1.3. Continuous development of high-definition mapping and navigation technologies essential for driverless vehicles
    • 5.1.1.4. Increased investment from automotive and tech companies accelerating innovation in ride-hailing markets
  • 5.1.2. Restraints
    • 5.1.2.1. Cybersecurity issues to measure and prevent hacking and data breaches
  • 5.1.3. Opportunities
    • 5.1.3.1. Consumer acceptance and trust towards driverless ride-hailing services in metropolitan regions
    • 5.1.3.2. Impact of shared autonomous vehicle fleets on reducing urban traffic congestion
    • 5.1.3.3. Opportunities arising from integration of ride-hailing services with smart city infrastructures
  • 5.1.4. Challenges
    • 5.1.4.1. Limited infrastructure to support widespread adoption and seamless integration with urban transport
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Driverless Ride-hailing Market, by Service Type

• 6.1. Introduction
• 6.2. Private Ride-Hailing Services
• 6.3. Shared Ride-Hailing Services

7. Driverless Ride-hailing Market, by Vehicle Type

• 7.1. Introduction
• 7.2. Car
• 7.3. Shuttle
• 7.4. Van

8. Driverless Ride-hailing Market, by End User

• 8.1. Introduction
• 8.2. Corporates
• 8.3. Individuals

9. Driverless Ride-hailing Market, by Business Model

• 9.1. Introduction
• 9.2. B2B
• 9.3. B2C

10. Driverless Ride-hailing Market, by Ride Frequency

• 10.1. Introduction
• 10.2. Frequent Users
• 10.3. One-Time Users

11. Driverless Ride-hailing Market, by Payment Method

• 11.1. Introduction
• 11.2. Credit/Debit Card
• 11.3. Cryptocurrency
• 11.4. E-Wallets

12. Driverless Ride-hailing Market, by Technology Integration

• 12.1. Introduction
• 12.2. AI and Machine Learning
• 12.3. Blockchain
• 12.4. IoT

13. Driverless Ride-hailing Market, by Autonomy Level

• 13.1. Introduction
• 13.2. Fully Autonomous
• 13.3. Semi-Autonomous

14. Driverless Ride-hailing Market, by User Demographics

• 14.1. Introduction
• 14.2. Age Group
  • 14.2.1. 18-25
  • 14.2.2. 26-35
  • 14.2.3. 36-45
  • 14.2.4. 46+
• 14.3. Income Level
  • 14.3.1. High Income
  • 14.3.2. Low Income
  • 14.3.3. Medium Income
• 14.4. Occupation
  • 14.4.1. Retired Individuals
  • 14.4.2. Students
  • 14.4.3. Working Professionals

15. Driverless Ride-hailing Market, by Service Accessibility

• 15.1. Introduction
• 15.2. Mobile Apps
• 15.3. Web Platforms

16. Driverless Ride-hailing Market, by Customer Experience

• 16.1. Introduction
• 16.2. Booking and Navigation
  • 16.2.1. Ease of Booking
  • 16.2.2. Real-Time Tracking
• 16.3. In-Ride Features
  • 16.3.1. Comfort Features
  • 16.3.2. Entertainment Options
  • 16.3.3. Wi-Fi Access

17. Driverless Ride-hailing Market, by Operational Time

• 17.1. Introduction
• 17.2. Daytime Services
• 17.3. Nighttime Services

18. Driverless Ride-hailing Market, by Environmental Impact

• 18.1. Introduction
• 18.2. Eco-Friendly Policies
• 18.3. Electric Vehicles
• 18.4. Hybrid Vehicles

19. Americas Driverless Ride-hailing Market

• 19.1. Introduction
• 19.2. Argentina
• 19.3. Brazil
• 19.4. Canada
• 19.5. Mexico
• 19.6. United States

20. Asia-Pacific Driverless Ride-hailing Market

• 20.1. Introduction
• 20.2. Australia
• 20.3. China
• 20.4. India
• 20.5. Indonesia
• 20.6. Japan
• 20.7. Malaysia
• 20.8. Philippines
• 20.9. Singapore
• 20.10. South Korea
• 20.11. Taiwan
• 20.12. Thailand
• 20.13. Vietnam

21. Europe, Middle East & Africa Driverless Ride-hailing Market

• 21.1. Introduction
• 21.2. Denmark
• 21.3. Egypt
• 21.4. Finland
• 21.5. France
• 21.6. Germany
• 21.7. Israel
• 21.8. Italy
• 21.9. Netherlands
• 21.10. Nigeria
• 21.11. Norway
• 21.12. Poland
• 21.13. Qatar
• 21.14. Russia
• 21.15. Saudi Arabia
• 21.16. South Africa
• 21.17. Spain
• 21.18. Sweden
• 21.19. Switzerland
• 21.20. Turkey
• 21.21. United Arab Emirates
• 21.22. United Kingdom

22. Competitive Landscape

• 22.1. Market Share Analysis, 2023
• 22.2. FPNV Positioning Matrix, 2023
• 22.3. Competitive Scenario Analysis
• 22.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Alphabet Inc.
• 2. Amazon.com, Inc.
• 3. Apple Inc.
• 4. Aptiv PLC
• 5. Baidu, Inc.
• 6. Huawei Technologies Co., Ltd.
• 7. Innoviz Technologies Ltd.
• 8. Intel Corporation
• 9. Luminar Technologies, Inc.
• 10. Microsoft Corporation
• 11. NVIDIA Corporation
• 12. Ouster, Inc.
• 13. Qualcomm Incorporated
• 14. Quanergy Systems, Inc.
• 15. Robosense
• 16. Samsung Electronics Co., Ltd.
• 17. Sony Group Corporation
• 18. Tencent Holdings Ltd.
• 19. Velodyne Lidar, Inc.
• 20. Xilinx, Inc.