자동차 순환 경제 추적 시스템 시장 기회, 성장 촉진요인, 업계 동향 분석 및 예측(2025-2034년)

The Global Automotive Circular Economy Tracking System Market was valued at USD 15.1 billion in 2024 and is estimated to grow at a CAGR of 9.6% to reach USD 36.9 billion by 2034.

The industry is experiencing significant expansion as automotive manufacturers and suppliers intensify their focus on sustainability, lifecycle transparency, and regulatory compliance. The shift toward digital transformation, IoT-based asset tracking, and blockchain-enabled traceability systems is revolutionizing how the automotive sector manages materials and resources. These advanced tracking solutions help companies recover valuable materials, improve recycling efficiency, and streamline end-of-life vehicle management while contributing to carbon reduction and resource optimization. The integration of connected technologies, digital twins, and AI-powered analytics is enabling a smarter, data-driven circular economy, transforming how the automotive industry measures and manages sustainability. Manufacturers are adopting end-to-end visibility solutions to ensure accountability throughout their value chains. Seamless data connectivity between IoT, ERP, and sustainability platforms is further optimizing operations, strengthening ESG performance, and reinforcing brand credibility. The ongoing evolution of cloud-based and AI-integrated systems is pushing the market toward more intelligent and sustainable manufacturing ecosystems worldwide.

The hardware segment held a 63% share in 2024 and is projected to grow at a CAGR of 9.8% from 2025 to 2034. This dominance is attributed to the critical role hardware components play in enabling real-time data collection, component tracking, and lifecycle monitoring across the automotive supply chain. The segment comprises IoT sensors, RFID tags, embedded controllers, and data acquisition devices, all essential for ensuring traceability, compliance, and operational efficiency. As automakers and recyclers seek improved transparency and precision, investments in advanced hardware systems are expected to accelerate, driving consistent growth throughout the forecast period.

The passenger vehicles segment held a 47% share in 2024 and is forecasted to grow at a CAGR of 10.4% through 2034. This segment's leadership is fueled by the rapid adoption of electric and hybrid vehicles, increased regulatory pressure on recycling and sustainability, and growing demand for material tracking in production and post-use processes. Automotive manufacturers are deploying smart tracking technologies to comply with strict environmental and circular economy standards while optimizing resource reuse and battery lifecycle management within passenger vehicle fleets.

Germany Automotive Circular Economy Tracking System Market held a 40% share, generating USD 2.9 billion in 2024. The country's dominance is supported by a strong presence of OEMs, tiered suppliers, and technology providers implementing sophisticated tracking and analytics platforms. The growing use of AI-enabled lifecycle analytics, blockchain-based transparency tools, IoT-driven condition monitoring, and integrated cloud reporting solutions is driving adoption across production, recycling, and vehicle recovery operations. Companies in Germany are emphasizing modular, interoperable, and scalable systems designed to meet EU sustainability mandates while maximizing efficiency, circularity, and material recovery rates.

Key companies participating in the Automotive Circular Economy Tracking System Market include Toyota Motor, Siemens, Mercedes-Benz, Volkswagen, Renault, BMW, Denso, Ford Motor, and Hyundai Motor. Leading players in the Automotive Circular Economy Tracking System Market are enhancing their market position through innovation, sustainability initiatives, and strategic collaboration. They are investing heavily in AI-powered analytics, IoT infrastructure, and blockchain traceability to enable end-to-end material tracking and compliance reporting. Companies are forming partnerships across the automotive supply chain to develop interoperable, cloud-based circular economy platforms that integrate seamlessly with manufacturing and recycling operations. Expansion of digital twin technology and lifecycle analytics is helping automate decision-making and optimize resource recovery.

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 Vehicle
  • 2.2.4 Technology
  • 2.2.5 Application
  • 2.2.6 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 EU ELV regulation & digital passport mandates
    • 3.2.1.2 Battery regulation compliance requirements
    • 3.2.1.3 Critical material scarcity & resource security
    • 3.2.1.4 Extended producer responsibility implementation
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 Data privacy & competitive confidentiality concerns
    • 3.2.2.2 Legacy IT infrastructure limitations
  • 3.2.3 Market opportunities
    • 3.2.3.1 Digital product passport market expansion
    • 3.2.3.2 AI-driven circular material optimization
    • 3.2.3.3 Cross-border regulatory harmonization
    • 3.2.3.4 SME integration & democratization
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 EU end-of-life vehicle (ELV) directive
  • 3.4.2 EU battery regulation
  • 3.4.3 Extended producer responsibility (EPR)
  • 3.4.4 Digital product passport (DPP) mandates
  • 3.4.5 National circular economy policies
  • 3.4.6 Data privacy & security regulations
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and Innovation Landscape
  • 3.7.1 Blockchain-based tracking systems
  • 3.7.2 Collaborative data ecosystems
  • 3.7.3 Enterprise recycling management systems
  • 3.7.4 Digital product passport platforms
  • 3.7.5 IoT-enabled condition monitoring
• 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 ($ Bn, Units)

• 5.1 Key trends
• 5.2 Hardware
  • 5.2.1 Sensor
  • 5.2.2 Tags
  • 5.2.3 Gateways
  • 5.2.4 Devices
• 5.3 Software
  • 5.3.1 Lifecycle management
  • 5.3.2 Data analytics
  • 5.3.3 Blockchain platforms
• 5.4 Services
  • 5.4.1 Integration
  • 5.4.2 Consulting
  • 5.4.3 Maintenance

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($ Bn, Units)

• 6.1 Key trends
• 6.2 Passenger vehicles
  • 6.2.1 Hatchbacks
  • 6.2.2 Sedans
  • 6.2.3 SUV
  • 6.2.4 MPVs
• 6.3 Commercial vehicles
  • 6.3.1 Light commercial vehicles (LCV)
  • 6.3.2 Medium commercial vehicles (MCV)
  • 6.3.3 Heavy commercial vehicles (HCV)
• 6.4 Two-Wheelers

Chapter 7 Market Estimates & Forecast, By Technology, 2021 - 2034 ($ Bn, Units)

• 7.1 Key trends
• 7.2 Digital product passport platforms
• 7.3 Blockchain-based tracking systems
• 7.4 IoT-enabled condition monitoring
• 7.5 Collaborative data ecosystems
• 7.6 Enterprise recycling management systems

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2034 ($ Bn, Units)

• 8.1 Key trends
• 8.2 Battery recycling and second life
• 8.3 Vehicle manufacturing
• 8.4 Supply chain transparency
• 8.5 Spare parts tracking
• 8.6 Material recovery and reuse

Chapter 9 Market Estimates & Forecast, By End Use, 2021 - 2034 ($ Bn, Units)

• 9.1 Key trends
• 9.2 Original equipment manufacturers (OEMs)
• 9.3 Tier 1 & tier 2 suppliers
• 9.4 Technology platform providers
• 9.5 Recycling & dismantling facilities
• 9.6 Regulatory & compliance organizations

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($ Bn, Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Belgium
  • 10.3.7 Netherlands
  • 10.3.8 Sweden
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 Australia
  • 10.4.5 Singapore
  • 10.4.6 South Korea
  • 10.4.7 Vietnam
  • 10.4.8 Indonesia
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia

Chapter 11 Company Profiles

• 11.1 Global Player
  • 11.1.1 BMW
  • 11.1.2 Denso
  • 11.1.3 Ford Motor
  • 11.1.4 Hyundai Motor
  • 11.1.5 Mercedes-Benz
  • 11.1.6 Renault
  • 11.1.7 Toyota Motor
  • 11.1.8 Volkswagen
• 11.2 Regional Player
  • 11.2.1 BASF
  • 11.2.2 Covestro
  • 11.2.3 Siemens
  • 11.2.4 Stellantis
  • 11.2.5 Umicore
• 11.3 Emerging Players
  • 11.3.1 CGI
  • 11.3.2 CircularTree
  • 11.3.3 ScrapRight