자율주행 시스템 및 차량 시장(2027-2037년)

The autonomous systems and vehicles market has entered an unprecedented phase of commercial acceleration and technological convergence across multiple transportation domains. Robotaxi services have expanded beyond pilot programmes into sustained commercial operations, with leading operators now conducting millions of driverless trips annually in major metropolitan areas across the United States and China. The competitive landscape has consolidated significantly following the withdrawal of several high-profile players, leaving a smaller cohort of well-capitalised companies commanding dominant market positions while raising the capital intensity barriers for new entrants. Autonomous trucking has reached a critical inflection point, with multiple operators launching revenue-generating freight services on defined highway corridors. The sector's commercial viability has been validated through partnerships with major logistics providers and fleet operators, while regulatory frameworks have evolved to accommodate driverless commercial vehicle operations in multiple US states. Middle-mile delivery and hub-to-hub operations have emerged as the initial deployment use cases, with full-corridor autonomy expanding progressively as operational experience accumulates.

The sensor technology ecosystem has undergone substantial transformation, characterised by aggressive price compression in automotive lidar systems, strategic consolidation among component suppliers, and the emergence of Chinese manufacturers as dominant forces in global automotive sensor supply chains. Solid-state lidar architectures have achieved series production status, while 4D imaging radar has matured into a commercially viable complementary sensing modality. Computing platform capabilities have scaled dramatically, with purpose-built autonomous driving processors now delivering hundreds of TOPS while meeting automotive-grade thermal and power constraints.

Traditional automotive OEMs have accelerated their autonomous driving programmes, with several manufacturers achieving conditional automation certifications enabling hands-off driving under defined operational conditions. Strategic partnerships between established automakers and autonomous driving technology specialists have intensified, reflecting recognition that the capital requirements and technical complexity of full autonomy exceed the capabilities of individual organisations.

Urban air mobility has advanced from prototype demonstration to certification-ready status, with multiple eVTOL developers completing extensive flight test programmes and pursuing type certification from aviation authorities. Maritime autonomy has progressed through successful transoceanic voyages and the establishment of regulatory frameworks governing remote and autonomous vessel operations.

Looking forward, the market trajectory points toward continued geographic expansion of robotaxi services, progressive extension of autonomous trucking networks, and the commercial launch of urban air mobility services in initial deployment cities. The technological foundations for widespread autonomous mobility deployment are now largely in place, with remaining challenges centred on regulatory harmonisation, public acceptance cultivation, and the establishment of sustainable unit economics across diverse operational contexts.

The Global Autonomous Systems and Vehicles Market 2027–2037 provides an authoritative examination of the global autonomous systems and vehicles industry across all major transportation domains, providing strategic intelligence for investors, industry executives, technology developers, and policy stakeholders navigating this transformative market. The report analyses the full spectrum of autonomous mobility, encompassing robotaxi and autonomous ride-hailing services, autonomous trucking and freight logistics, passenger vehicle automation, urban air mobility, maritime autonomy, and last-mile delivery systems. Drawing upon primary research, proprietary databases, regulatory filings, and extensive industry consultation, the analysis provides granular insight into competitive dynamics, technology evolution trajectories, regulatory frameworks, and commercialisation pathways across key geographic markets.

Strategic company profiles examine more than 90 leading participants across the autonomous vehicle ecosystem, from pure-play robotaxi operators and autonomous trucking specialists to sensor suppliers, computing platform providers, traditional automotive OEMs, and tier-one suppliers. Each profile details corporate strategy, technology capabilities, partnership networks, operational metrics, and competitive positioning within the rapidly evolving market landscape.

The technology analysis addresses critical enablers including automotive lidar systems, 4D imaging radar, high-performance computing platforms, artificial intelligence and machine learning architectures, HD mapping and localisation systems, and vehicle-to-everything communication infrastructure. Market sizing and forecasting spans the complete report timeframe with segmentation by application domain, geography, autonomy level, and technology category.

Regulatory analysis covers the evolving policy landscape across major jurisdictions including the United States, European Union, China, and other key markets, examining type approval frameworks, operational permit structures, liability regimes, and the progression toward harmonised international standards. Investment analysis identifies funding trends, valuation dynamics, and strategic transaction activity shaping industry consolidation.

Report Contents include:

• Executive summary with key findings and strategic recommendations
• Market definitions, scope, and methodology
• Technology landscape analysis covering sensors, compute, software, and connectivity
• Robotaxi and autonomous ride-hailing market analysis
• Autonomous trucking and freight logistics assessment
• Passenger vehicle automation and ADAS market evaluation
• Urban air mobility and eVTOL market analysis
• Maritime autonomy and autonomous shipping review
• Last-mile delivery robots and drones market coverage
• Regional market analysis (North America, Europe, China, Asia-Pacific, Rest of World)
• Regulatory and policy framework analysis by jurisdiction
• Competitive landscape and market share analysis
• Strategic company profiles (90+ companies)
• Investment trends and funding analysis
• Ten-year market forecasts by segment and geography

Companies profiled include Amazon Prime Air, Ambarella Inc., Applied Intuition, Aptiv PLC, Archer Aviation Inc., Aurora Innovation Inc., AutoX Inc., Baidu Apollo Go, Beep Inc., Black Sesame Technologies, BMW Group, BYD Company Limited, CaoCao Inc., Continental AG, Cruise LLC, Deepway, DeepRoute.ai, DENSO Corporation, Didi Autonomous Driving, EasyMile SAS, Einride AB, Ford Motor Company, Gatik AI Inc., General Motors Company, HERE Technologies, Hesai Technology, Honda Motor Co. Ltd., Horizon Robotics, Huawei Technologies, Hyundai Motor Group, Inceptio Technology, Innoviz Technologies, Joby Aviation Inc., Kodiak Robotics Inc., Kongsberg Maritime, Li Auto Inc., Luminar Technologies, Lyft Inc., Magna International Inc., May Mobility Inc., Mercedes-Benz Group AG, Mobileye Global Inc. and more......

Table of Contents

1 EXECUTIVE SUMMARY

• 1.1 Market at a glance
• 1.2 Key Market Data
• 1.3 Robotaxi Market Overview
  • 1.3.1 Robotaxi Growth Acceleration
• 1.4 Autonomous Trucking Overview
• 1.5 Key Industry Developments (2025-2026)
• 1.6 Technology Readiness Assessment
• 1.7 Competitive Landscape Summary
• 1.8 Regional Market Highlights
  • 1.8.1 North America
  • 1.8.2 Asia-Pacific
• 1.9 Market Drivers and Restraints
• 1.10 Investment and Funding Overview
• 1.11 Key Forecasts Summary

2 AUTONOMOUS SYSTEMS AND VEHICLES

• 2.1 Historical Development of Autonomous Driving Technology
  • 2.1.1 Early Research and Academic Foundations (1960s-1990s)
  • 2.1.2 DARPA Grand Challenges and Industry Formation (2004-2009)
  • 2.1.3 The Google Era and Industry Formation (2009-2016)
  • 2.1.4 Commercialization and Scaling (2017-Present)
• 2.2 Technology Foundations
  • 2.2.1 The Autonomous Vehicle Technology Stack
  • 2.2.2 Sensor Technologies Deep Dive
  • 2.2.3 Perception and AI Systems
• 2.3 SAE Levels of Driving Automation: Detailed Analysis
  • 2.3.1 SAE J3016 Standard Framework
  • 2.3.2 Levels 0-2: Driver Assistance Systems
  • 2.3.3 Level 2+: Advanced Partial Automation
  • 2.3.4 Level 3: Conditional Driving Automation
  • 2.3.5 Level 4: High Driving Automation
  • 2.3.6 Level 5: Full Driving Automation
• 2.4 The Autonomous Vehicle Value Chain
  • 2.4.1 Value Chain Structure and Participant Categories
  • 2.4.2 Key Value Chain Participants
  • 2.4.3 Value Migration and Future Structure
• 2.5 Operational Design Domain Framework
  • 2.5.1 ODD Concept and Components
  • 2.5.2 ODD Expansion Strategies and Challenges
• 2.6 Market Segmentation Framework
  • 2.6.1 Segmentation by Vehicle Type
  • 2.6.2 Segmentation by Technology Component
  • 2.6.3 Segmentation by Region

3 MARKET DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES

• 3.1 Market Drivers
  • 3.1.1 Overview of Market Drivers
  • 3.1.2 Labor Cost Elimination
  • 3.1.3 Safety Improvement Potential
  • 3.1.4 Technology Maturation
  • 3.1.5 Regulatory Support and Policy Frameworks
  • 3.1.6 Consumer Acceptance and Trust
  • 3.1.7 New Business Models and Value Creation
  • 3.1.8 Key Robotaxi Growth Drivers (2024-2026)
• 3.2 Market Restraints
  • 3.2.1 Overview of Market Restraints
  • 3.2.2 Technology Limitations and Edge Cases
  • 3.2.3 Regulatory Uncertainty and Fragmentation
  • 3.2.4 High Development Costs and Capital Requirements
  • 3.2.5 Consumer Trust Deficit
  • 3.2.6 Liability Framework Gaps
• 3.3 Market Opportunities
  • 3.3.1 Opportunity Landscape Overview
  • 3.3.2 Robotaxi Market Opportunity
  • 3.3.3 Autonomous Trucking Opportunity
  • 3.3.4 Consumer Vehicle Opportunity
• 3.4 Market Challenges
  • 3.4.1 Technical Challenges
  • 3.4.2 Competitive and Industry Challenges
  • 3.4.3 Societal and Workforce Challenges

4 ENABLING TECHNOLOGIES

• 4.1 Technology Landscape Overview
  • 4.1.1 Market Map of Autonomous Driving Technologies
  • 4.1.2 Investment and Funding Dynamics
• 4.2 Sensor Technologies
  • 4.2.1 LiDAR Systems
  • 4.2.2 Camera and Vision Systems
  • 4.2.3 Radar Systems
  • 4.2.4 Sensor Fusion Architectures
  • 4.2.5 Semiconductor Market Outlook for Autonomous Vehicle Sensors
• 4.3 Computing Platforms
  • 4.3.1 AI Accelerator Evolution
  • 4.3.2 Competitive Dynamics in AV Compute
  • 4.3.3 Computing Platform Market Projections
• 4.4 Software and Algorithms
  • 4.4.1 Perception Neural Networks
  • 4.4.2 End-to-End Learning Systems
  • 4.4.3 Generative AI Integration
  • 4.4.4 End-to-End Algorithm Evolution and Architectural Convergence
• 4.5 Mapping and Localization
  • 4.5.1 HD Mapping Approaches
  • 4.5.2 Localization Technologies
• 4.6 Simulation and Development Tools
  • 4.6.1 Simulation Platform Ecosystem
  • 4.6.2 Data Infrastructure and Annotation
• 4.7 Connectivity and V2X
  • 4.7.1 Vehicle-to-Everything Communication
  • 4.7.2 Cloud Connectivity and Edge Computing

5 AUTONOMOUS PASSENGER VEHICLES

• 5.1 Market Overview
  • 5.1.1 Market Size and Growth Trajectory
  • 5.1.2 Regional Market Distribution
• 5.2 OEM Strategies and Competitive Positioning
  • 5.2.1 Strategic Approach Overview
  • 5.2.2 Tesla Full Self-Driving Strategy
  • 5.2.3 German Premium OEM Strategies
• 5.3 ADAS Feature Development
  • 5.3.1 Feature Penetration Trends
  • 5.3.2 Level 2+ System Development
• 5.4 Consumer Purchase Behavior
  • 5.4.1 Feature Valuation and Willingness to Pay
  • 5.4.2 Trust and Adoption Barriers
• 5.5 Business Models and Revenue Streams
  • 5.5.1 Revenue Model Evolution
  • 5.5.2 Subscription Economics
• 5.6 Production and Market Forecasts
  • 5.6.1 Global Production Outlook
  • 5.6.2 Market Forecast by Region
• 5.7 Regulatory Requirements
  • 5.7.1 Safety Regulation Evolution

6 ROBOTAXIS AND MOBILITY-AS-A-SERVICE

• 6.1 Market Overview
  • 6.1.1 Market Size and Growth Trajectory
  • 6.1.2 Market Definition and Scope
  • 6.1.3 Global Robotaxi Fleet Growth Trajectory
• 6.2 Competitive Landscape
  • 6.2.1 Leading Operators Overview
  • 6.2.2 Waymo Operational Analysis
  • 6.2.3 Baidu Apollo Go Operations
  • 6.2.4 Tesla Robotaxi Strategy
  • 6.2.5 Ride-Hailing Platform Partnerships
  • 6.2.6 Competitive Dynamics and OEM Market Entry
• 6.3 Unit Economics and Business Model
  • 6.3.1 Cost Structure Analysis
  • 6.3.2 Revenue Model and Pricing
  • 6.3.3 Profitability Analysis and Utilization Thresholds
• 6.4 Regional Markets
  • 6.4.1 Market Distribution Overview
  • 6.4.2 China Market Analysis
  • 6.4.3 North America Market Analysis
• 6.5 Mobility-as-a-Service Integration
  • 6.5.1 MaaS Market Evolution
  • 6.5.2 Platform Integration Models
• 6.6 Safety and Regulation
  • 6.6.1 Safety Performance Data
  • 6.6.2 Regulatory Framework
• 6.7 Market Forecasts
  • 6.7.1 Global Market Projections

7 AUTONOMOUS TRUCKS

• 7.1 Market Overview
  • 7.1.1 Market Size and Growth Trajectory
  • 7.1.2 Market Definition and Scope
  • 7.1.3 Technology Synergies Across Robo-X Applications
• 7.2 Economic Drivers
  • 7.2.1 Cost Structure and Competitive Economics
  • 7.2.2 Operational Efficiency Gains
  • 7.2.3 Driver Shortage Crisis
• 7.3 Competitive Landscape
  • 7.3.1 Leading Technology Developers
  • 7.3.2 OEM Integration Strategies
• 7.4 Operational Models
  • 7.4.1 Hub-to-Hub Transfer Operations
  • 7.4.2 Freight Corridor Strategy
• 7.5 Regional Markets
  • 7.5.1 North America
  • 7.5.2 Europe
  • 7.5.3 China and Asia-Pacific
• 7.6 Technology and Safety
  • 7.6.1 Sensor and Compute Architecture
  • 7.6.2 Safety Performance
• 7.7 Market Forecasts
  • 7.7.1 Global Market Projections

8 AUTONOMOUS BUSES AND SHUTTLES

• 8.1 Market Overview
  • 8.1.1 Market Size and Growth Trajectory
  • 8.1.2 Market Definition and Scope
  • 8.1.3 Autonomous Bus Technology Stack and Physical AI Integration
• 8.2 Deployment Applications
  • 8.2.1 Campus and Corporate Shuttles
  • 8.2.2 Airport and Transit Hub Applications
  • 8.2.3 Public Transit Integration
• 8.3 Competitive Landscape
  • 8.3.1 Technology Provider Overview
  • 8.3.2 Traditional OEM Strategies
• 8.4 Operating Economics
  • 8.4.1 Cost Structure Analysis
  • 8.4.2 Service Enhancement Value
• 8.5 Regional Markets
  • 8.5.1 Asia-Pacific
  • 8.5.2 Europe
  • 8.5.3 North America
• 8.6 Technology Requirements
  • 8.6.1 Sensor and Perception Systems
  • 8.6.2 Vehicle Platform Requirements
• 8.7 Market Forecasts
  • 8.7.1 Global Market Projections

9 AUTONOMOUS DELIVERY VEHICLES

• 9.1 Market Overview
  • 9.1.1 Market Size and Growth Trajectory
  • 9.1.2 Market Definition and Scope
• 9.2 Sidewalk Delivery Robots
  • 9.2.1 Technology and Operations
  • 9.2.2 Economics and Business Model
• 9.3 Road-Based Delivery Pods
  • 9.3.1 Nuro and Competitive Landscape
  • 9.3.2 Use Cases and Deployment Models
• 9.4 Autonomous Delivery Vans
  • 9.4.1 Technology and Applications
  • 9.4.2 Middle-Mile Economics
• 9.5 Delivery Drones
  • 9.5.1 Market Overview and Leading Operators
  • 9.5.2 Regulatory Framework and Expansion
• 9.6 Regional Markets
  • 9.6.1 North America
  • 9.6.2 China
  • 9.6.3 Europe
• 9.7 Competitive Landscape
  • 9.7.1 Technology Provider Overview
  • 9.7.2 Platform Integration Dynamics
• 9.8 Market Forecasts
  • 9.8.1 Global Market Projections

10 SPECIALTY AUTONOMOUS VEHICLES

• 10.1 Market Overview
  • 10.1.1 Market Size and Growth Trajectory
  • 10.1.2 Market Definition and Scope
• 10.2 Autonomous Mining Equipment
  • 10.2.1 Autonomous Haulage Systems
  • 10.2.2 Beyond Haul Trucks: Drilling and Loading
• 10.3 Autonomous Agriculture
  • 10.3.1 Market Development and Technology
  • 10.3.2 Competitive Landscape
• 10.4 Autonomous Construction Equipment
  • 10.4.1 Technology Development
  • 10.4.2 Market Opportunity
• 10.5 Port and Terminal Automation
  • 10.5.1 Terminal Automation History and Current State
  • 10.5.2 Next-Generation Terminal Automation
• 10.6 Military and Defense Autonomous Systems
  • 10.6.1 Unmanned Ground Vehicles
  • 10.6.2 Technology and Applications
• 10.7 Other Specialty Applications
  • 10.7.1 Forestry and Resource Industries
  • 10.7.2 Indoor and Warehouse Automation
• 10.8 Market Forecasts
  • 10.8.1 Global Market Projections

11 REGIONAL MARKET ANALYSIS

• 11.1 Global Market Overview
  • 11.1.1 Regional Market Distribution
  • 11.1.2 Market Readiness Assessment
• 11.2 North America
  • 11.2.1 United States
  • 11.2.2 Canada
  • 11.2.3 Mexico
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 United Kingdom
  • 11.3.3 France
  • 11.3.4 Other European Markets
• 11.4 Asia-Pacific
  • 11.4.1 China
  • 11.4.2 Japan
  • 11.4.3 South Korea
  • 11.4.4 India
  • 11.4.5 Other Asia-Pacific Markets
• 11.5 Middle East and Africa
  • 11.5.1 United Arab Emirates
  • 11.5.2 Saudi Arabia
  • 11.5.3 Israel
• 11.6 Latin America
  • 11.6.1 Brazil
• 11.7 Country Profiles Summary

12 REGULATORY AND LEGAL FRAMEWORK

• 12.1 Regulatory Overview
  • 12.1.1 Global Regulatory Landscape
  • 12.1.2 Regulatory Evolution Timeline
• 12.2 United States Regulatory Framework
  • 12.2.1 Federal Framework
  • 12.2.2 State Regulatory Landscape
• 12.3 European Regulatory Framework
  • 12.3.1 Germany
  • 12.3.2 United Kingdom
  • 12.3.3 European Union Framework
• 12.4 Asia-Pacific Regulatory Frameworks
  • 12.4.1 China
  • 12.4.2 Japan
• 12.5 International Standards
  • 12.5.1 UNECE Regulations
  • 12.5.2 ISO and SAE Standards
• 12.6 Liability Framework
  • 12.6.1 Product Liability vs. Driver Liability
  • 12.6.2 Insurance Requirements
• 12.7 Data and Privacy Regulation
  • 12.7.1 Data Recording Requirements
  • 12.7.2 Privacy Considerations
• 12.8 Regulatory Outlook
  • 12.8.1 Expected Developments

13 MARKET FORECASTS (2026-2037)

• 13.1 Forecast Methodology
  • 13.1.1 Approach and Data Sources
  • 13.1.2 Key Assumptions
• 13.2 Total Market Forecast
  • 13.2.1 Global Market Size
  • 13.2.2 Market by Automation Level
• 13.3 Scenario Analysis
  • 13.3.1 Scenario Definitions
  • 13.3.2 Scenario Drivers
• 13.4 Segment Forecasts
  • 13.4.1 Passenger Vehicles
  • 13.4.2 Robotaxis and Mobility-as-a-Service
  • 13.4.3 Autonomous Trucking
• 13.5 Unit Deployment Forecasts
  • 13.5.1 Vehicle Deployments by Type
  • 13.5.2 Production Forecasts
• 13.6 Component and Technology Forecasts
  • 13.6.1 Sensor Markets
• 13.7 Compute and Software Markets
• 13.8 Economic Impact
  • 13.8.1 Direct and Indirect Impact
  • 13.8.2 Employment Effects
• 13.9 Regional Forecasts

14 COMPANY PROFILES

• 14.1 Robotaxi and Autonomous Ride-Hailing Companies 257 (14 company profiles)
• 14.2 Autonomous Trucking Companies 279 (7 company profiles)
• 14.3 Sensor/Component/Compute Suppliers 291 (14 company profiles)
• 14.4 Traditional Automotive OEMs 321 (10 company profiles)
• 14.5 Tier-1 Suppliers 331 (5 company profiles)
• 14.6 Chinese OEMs 336 (7 company profiles)
• 14.7 Aviation and Urban Air Mobility 343 (4 company profiles)
• 14.8 Maritime Autonomous Systems 348 (5 company profiles)
• 14.9 Autonomous Driving Software Platforms 355 (4 company profiles)
• 14.10 Autonomous Delivery and Last-Mile 360 (5 company profiles)
• 14.11 Autonomous Shuttle Operators and Technology Providers 365 (3 company profiles)

15 APPENDICES

• 15.1 Report Objectives
• 15.2 Scope and Coverage
• 15.3 Research Methodology Overview
• 15.4 Key Questions Addressed
• 15.5 Market Definition and Taxonomy
  • 15.5.1 Comprehensive Definition of Autonomous Systems
  • 15.5.2 Comprehensive Definition of Autonomous Vehicles
  • 15.5.3 Distinction Between ADAS and Autonomous Driving
  • 15.5.4 Report Scope Boundaries
• 15.6 SAE Levels of Automation
  • 15.6.1 Overview of SAE J3016 Standard
  • 15.6.2 Level 0: No Driving Automation
  • 15.6.3 Level 1: Driver Assistance
  • 15.6.4 Level 2: Partial Driving Automation
  • 15.6.5 Level 2+: Advanced Partial Automation (Industry Definition)
  • 15.6.6 Level 3: Conditional Driving Automation
  • 15.6.7 Level 4: High Driving Automation
  • 15.6.8 Level 5: Full Driving Automation
  • 15.6.9 Key Differences and Liability Implications
• 15.7 Glossary of Terms
• 15.8 Technical Specifications
  • 15.8.1 Sensor Technologies
    • 15.8.1.1 Compute Platforms
    • 15.8.1.2 C.3 Communication Technologies
• 15.9 Regulatory References
  • 15.9.1 International Standards
  • 15.9.2 Regional Regulatory Summary

16 REFERENCES