자율 발렛파킹 시스템(AVPS) 시장 : 기회, 성장 요인, 업계 동향 분석 및 예측(2025-2034년)

The Global Autonomous Valet Parking System Market was valued at USD 375.1 million in 2024 and is estimated to grow at a CAGR of 15.4% to reach USD 1.5 Billion by 2034.

Growth in this market is propelled by the increasing adoption of connected and autonomous vehicles, expanding focus on smart mobility ecosystems, and a surge in demand for advanced driver-assistance technologies that improve convenience, safety, and efficiency. Continuous progress in artificial intelligence (AI), vehicle-to-infrastructure (V2X) communication, and sensor fusion technologies is allowing automotive manufacturers and parking solution providers to introduce highly reliable and scalable autonomous parking systems. These developments are revolutionizing the parking experience by optimizing space utilization and reducing the need for human involvement. The ongoing expansion of smart city initiatives, increased investment in digital infrastructure, and advancements in vehicle electrification continue to shape the future of AVPS solutions. Manufacturers are prioritizing the development of next-generation sensor systems, high-accuracy localization platforms, and AI-driven decision-making frameworks to enhance real-time navigation, safety, and integration with broader autonomous mobility ecosystems.

AVPS systems integrate multiple components such as cameras, LiDAR, radar sensors, ultrasonic units, on-board controllers, and AI-based software that enable vehicles to park within structured facilities. These technologies ensure precise vehicle navigation, continuous environmental mapping, and secure maneuvering in complex parking environments. Efficient coordination between vehicles and intelligent infrastructure enhances overall parking performance while supporting the transition toward fully autonomous transportation. The ongoing evolution of these systems highlights the importance of real-time data processing, connectivity, and adaptive algorithms that ensure safe and efficient automated parking experiences.

In 2024, the hardware segment held a 50% share and is forecast to grow at a CAGR of 15.1% through 2034. The segment's dominance is attributed to its essential role in enabling accurate perception, control, and navigation for autonomous vehicles. Hardware components such as LiDAR, radar, cameras, on-board processors, and V2X modules deliver the precision and responsiveness required for complex parking operations. High-performance design and superior sensor integration have positioned this segment as a preferred choice among OEMs, Tier-1 suppliers, and parking infrastructure providers for both commercial and passenger vehicles.

The passenger vehicles segment held a 75% share in 2024 and is anticipated to grow at a CAGR of 15.3% between 2025 and 2034. Growing consumer interest in hands-free, safe, and efficient parking solutions is fueling the demand for AVPS in luxury and personal vehicles. Integration of these systems enhances operational reliability, optimizes driver convenience, and elevates overall user experience. The increasing penetration of autonomous parking functions in new vehicle models underscores the industry's focus on user-centric innovation and premium mobility solutions.

Germany Autonomous Valet Parking System Market held 16% market share, generating USD 21.7 million. The country is a leading hub for advanced automotive technology and is actively adopting intelligent parking infrastructure to promote efficient urban mobility. Local manufacturers and technology providers are investing in the development of modular AVPS platforms, AI-based control software, and integrated sensor architectures that enable scalable deployment of automated parking systems.

Key companies operating in the Global Autonomous Valet Parking System Market include Aptiv, Valeo, Bosch, ZF Friedrichshafen, Continental, BMW, Volkswagen, Ford Motor, Mercedes-Benz, and Magna International. Leading players in the Autonomous Valet Parking System Market are strengthening their market presence through innovation, partnerships, and technological integration. Many are investing in R&D to develop advanced sensor technologies, real-time AI-based decision software, and secure V2X communication frameworks to ensure system safety and scalability. Strategic alliances between automotive OEMs and technology providers are enabling faster deployment of AVPS solutions in next-generation vehicles. Companies are also expanding their global manufacturing and testing facilities to improve production efficiency and system reliability.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Global
  • 1.3.2 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Component
  • 2.2.3 Automation Level
  • 2.2.4 Vehicle
  • 2.2.5 End Use
• 2.3 TAM Analysis, 2025-2034
• 2.4 CXO perspectives: Strategic imperatives
  • 2.4.1 Executive decision points
  • 2.4.2 Critical success factors
• 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier Landscape
  • 3.1.2 Profit Margin
  • 3.1.3 Cost structure
  • 3.1.4 Value addition at each stage
  • 3.1.5 Factor affecting the value chain
  • 3.1.6 Disruptions
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rising adoption of autonomous and connected vehicles
    • 3.2.1.2 Growing urbanization and parking space constraints
    • 3.2.1.3 Advancements in sensor, AI, and V2X technologies
    • 3.2.1.4 Supportive regulations and smart city initiatives
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High implementation costs and infrastructure requirements
    • 3.2.2.2 Regulatory uncertainty and safety validation
  • 3.2.3 Market opportunities
    • 3.2.3.1 Integration with smart city and IoT ecosystems
    • 3.2.3.2 Partnerships between OEMs and parking infrastructure providers
    • 3.2.3.3 Technological innovation & AI advancement
    • 3.2.3.4 Fleet management & commercial mobility
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 Global regulatory trends
  • 3.4.2 Vehicle safety standards
  • 3.4.3 Infrastructure & smart city guidelines
  • 3.4.4 Liability & insurance regulations
  • 3.4.5 Emerging trends in standardization
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and Innovation Landscape
  • 3.7.1 Current technology assessment
  • 3.7.2 Technology readiness assessment
  • 3.7.3 Innovation ecosystem analysis
  • 3.7.4 Patent landscape & intellectual property
  • 3.7.5 Future innovation roadmap
• 3.8 Price trends
  • 3.8.1 By region
  • 3.8.2 By product
• 3.9 Production statistics
  • 3.9.1 Production hubs
  • 3.9.2 Consumption hubs
  • 3.9.3 Export and import
• 3.10 Cost breakdown analysis
• 3.11 Patent analysis
• 3.12 Sustainability and Environmental Aspects
  • 3.12.1 Sustainable practices
  • 3.12.2 Waste reduction strategies
  • 3.12.3 Energy efficiency in production
  • 3.12.4 Eco-friendly initiatives
  • 3.12.5 Carbon footprint considerations
• 3.13 Risk assessment framework
• 3.14 Best case scenarios

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 Latin America
  • 4.2.5 Middle East & Africa
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic outlook matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New product launches
  • 4.6.4 Expansion plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($ Mn, Units)

• 5.1 Key trends
• 5.2 Hardware
  • 5.2.1 Sensor technologies
  • 5.2.2 Processing units & control systems
  • 5.2.3 Communication hardware
  • 5.2.4 Infrastructure equipment
• 5.3 Software
  • 5.3.1 Path planning & navigation algorithms
  • 5.3.2 Fleet management software
  • 5.3.3 User interface & mobile applications
  • 5.3.4 Ai & machine learning platforms
• 5.4 Services
  • 5.4.1 System integration & deployment services
  • 5.4.2 Maintenance & technical support
  • 5.4.3 Data management & analytics services
  • 5.4.4 Cloud & connectivity services
  • 5.4.5 Training & aftermarket services

Chapter 6 Market Estimates & Forecast, By Automation Level, 2021 - 2034 ($ Mn, Units)

• 6.1 Key trends
• 6.2 SAE Level 2 (Assisted Parking)
• 6.3 SAE Level 3 (Conditional Automated Parking)
• 6.4 SAE Level 4 (Highly Automated Valet Parking)
• 6.5 SAE Level 5 (Fully Automated Parking)

Chapter 7 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($ Mn, Units)

• 7.1 Key trends
• 7.2 Passenger Vehicles
  • 7.2.1 SUV
  • 7.2.2 Sedan
  • 7.2.3 Hatchback
• 7.3 Commercial Vehicles
  • 7.3.1 Light commercial vehicles (LCV)
  • 7.3.2 Medium commercial vehicles (MCV)
  • 7.3.3 Heavy commercial vehicles (HCV)

Chapter 8 Market Estimates & Forecast, By End Use, 2021 - 2034 ($ Mn, Units)

• 8.1 Key trends
• 8.2 Automotive OEMs
• 8.3 Parking Operators
  • 8.3.1 Long-term parking solutions (airports)
  • 8.3.2 Rental car facility integration
  • 8.3.3 Passenger terminal applications
  • 8.3.4 Municipal parking lots
• 8.4 Commercial & Retail Spaces
  • 8.4.1 Shopping centers & retail applications
  • 8.4.2 Office buildings & corporate facilities
  • 8.4.3 Healthcare facilities & hospitals
• 8.5 Smart Cities & Municipalities

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2034 ($ Mn, Units)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 US
  • 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 Belgium
  • 9.3.7 Netherlands
  • 9.3.8 Sweden
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 Australia
  • 9.4.5 Singapore
  • 9.4.6 South Korea
  • 9.4.7 Vietnam
  • 9.4.8 Indonesia
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Mexico
  • 9.5.3 Argentina
• 9.6 MEA
  • 9.6.1 UAE
  • 9.6.2 South Africa
  • 9.6.3 Saudi Arabia

Chapter 10 Company Profiles

• 10.1 Global players
  • 10.1.1 Audi
  • 10.1.2 BMW
  • 10.1.3 Bosch
  • 10.1.4 Continental
  • 10.1.5 Ford Motor
  • 10.1.6 Mercedes-Benz
  • 10.1.7 Valeo
  • 10.1.8 Volkswagen
• 10.2 Regional players
  • 10.2.1 Aptiv
  • 10.2.2 Denso
  • 10.2.3 General Motors
  • 10.2.4 Hyundai Mobis
  • 10.2.5 Magna International
  • 10.2.6 Nissan Motor
  • 10.2.7 Stellantis
  • 10.2.8 Toyota Motor
  • 10.2.9 ZF Friedrichshafen
• 10.3 Emerging players
  • 10.3.1 Aurora Innovation
  • 10.3.2 Cruise
  • 10.3.3 INRIX
  • 10.3.4 Parkopedia
  • 10.3.5 Waymo