자동차 블록체인 기술 시장 : 기회, 성장 촉진요인, 산업 동향 분석, 예측(2025-2034년)

The Global Automotive Blockchain Technology Market was valued at USD 300 million in 2024 and is estimated to grow at a CAGR of 29% to reach USD 3.77 billion by 2034.

As vehicles become increasingly connected and software-driven, automakers are facing growing concerns around data integrity, cybersecurity, and real-time communication. Blockchain offers a decentralized, tamper-proof system to securely track and verify data across a vehicle's lifecycle from manufacturing and parts sourcing to software updates and ownership transfers.

Increasing Prevalence of Public Blockchain

The public blockchain segment is expected to gain strong traction through 2034 driven by its unmatched transparency and decentralized structure. Public blockchains allow multiple stakeholders including automakers, regulators, suppliers, and end use to access and verify data in real-time, without relying on a central authority. This model is particularly useful for vehicle history tracking, ownership records, and shared mobility applications.

Rising Adoption of Solutions

The solutions segment from the automotive blockchain technology market held sizeable share in 2024. Automakers and fleet operators are increasingly investing in end-to-end blockchain platforms that offer a complete suite of services from smart contract execution to supply chain management and data authentication. These solutions reduce operational overhead, enhance transparency, and help companies to future-proof their digital infrastructure.

Passenger Cars to Gain Traction

The passenger cars segment held substantial share in 2024, owing to the rapid integration of digital technologies in modern vehicles. As consumers demand smarter, safer, and more connected driving experiences, automakers are leveraging blockchain to secure over-the-air (OTA) updates, manage vehicle identity, and enable data monetization models. From ride-hailing to subscription models, blockchain ensures that every transaction and data point tied to a car is secure and traceable.

Regional Insights

North America to Emerge as a Lucrative Region

North America automotive blockchain technology market generated significant revenues in 2024, driven by a robust digital infrastructure, high R&D spending, and strong industry partnerships. U.S. based OEMs and technology giants are leading the charge with pilot projects in digital vehicle titles, EV battery tracking, and autonomous vehicle data verification. The region also benefits from regulatory openness to blockchain innovation, allowing automotive companies to scale new solutions with fewer barriers.

Major players involved in the automotive blockchain technology market include MOBI, Amazon, SAP SE, Tech Mahindra Limited, IBM Corporation, BigchainDB GmbH, Microsoft Corporation, Oracle Corporation, R3, Accenture plc.

Leading players in the automotive blockchain technology market are pursuing strategic collaborations, pilot programs, and product innovation to strengthen their market position. Companies are offering blockchain-as-a-service (BaaS) platforms to automotive OEMs, enabling faster and more secure deployment. Firms such as R3 and BigchainDB are focusing on developing customizable blockchain protocols tailored for supply chain, data security, and smart contract applications. Meanwhile, MOBI, a consortium of automakers and tech firms, is building industry-wide standards to promote interoperability.

Table of Contents

Chapter 1 Methodology

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
  • 1.1.3 Base estimates and calculations
  • 1.1.4 Base year calculation
  • 1.1.5 GMI proprietary AI system
    • 1.1.5.1 AI-Powered research enhancement
    • 1.1.5.2 Source consistency protocol
    • 1.1.5.3 AI accuracy metrics
• 1.2 Forecast model
• 1.3 Primary research and validation
  • 1.3.1 Key trends for market estimates
  • 1.3.2 Quantified market impact analysis
    • 1.3.2.1 Mathematical impact of growth parameters on forecast
  • 1.3.3 Scenario Analysis Framework
• 1.4 Some of the primary sources (but not limited to)
• 1.5 Data mining sources
  • 1.5.1 Secondary
    • 1.5.1.1 Paid Sources
    • 1.5.1.2 Public Sources
    • 1.5.1.3 Sources, by region
• 1.6 Research Trail & Confidence Scoring
  • 1.6.1 Research Trail Components:
  • 1.6.2 Scoring Components
• 1.7 Research transparency addendum
  • 1.7.1 Source attribution framework
  • 1.7.2 Quality assurance metrics
  • 1.7.3 Our commitment to trust

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Type
  • 2.2.3 Component
  • 2.2.4 Vehicle
  • 2.2.5 Application
  • 2.2.6 Organization Size
  • 2.2.7 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 analysis
  • 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 Increasing demand for supply chain transparency and traceability
    • 3.2.1.2 Rising adoption of connected and autonomous vehicles
    • 3.2.1.3 Growing need for fraud prevention and secure transactions
    • 3.2.1.4 Expansion of mobility-as-a-service (MaaS) and shared vehicle platforms
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High implementation and integration costs for blockchain systems
    • 3.2.2.2 Lack of standardization and interoperability across automotive networks
  • 3.2.3 Market opportunities
    • 3.2.3.1 Integration of blockchain with IoT and AI for predictive maintenance
    • 3.2.3.2 Adoption in vehicle ownership transfer and digital identity solutions
    • 3.2.3.3 Expansion into emerging markets with smart mobility initiatives
    • 3.2.3.4 SME and tier 2/3 supplier integration
• 3.3 Regulatory landscape
  • 3.3.1 North America
  • 3.3.2 Europe
  • 3.3.3 Asia Pacific
  • 3.3.4 Latin America
  • 3.3.5 Middle East & Africa
• 3.4 Porter's analysis
• 3.5 PESTEL analysis
• 3.6 Technology and innovation landscape
  • 3.6.1 Current technological trends
  • 3.6.2 Emerging technologies
• 3.7 Patent analysis
• 3.8 Pricing trends and economic analysis
• 3.9 Use cases
• 3.10 Best-case scenario
• 3.11 Investment landscape and funding analysis
  • 3.11.1 Global automotive technology investment trends
  • 3.11.2 Blockchain technology investment in automotive
  • 3.11.3 Regional investment patterns and government support
  • 3.11.4 Corporate investment and M&A activity
• 3.12 Cost-benefit analysis
  • 3.12.1 Implementation cost structure and investment requirements
  • 3.12.2 Operational benefits and efficiency gains
  • 3.12.3 Financial benefits and cost reduction
  • 3.12.4 Strategic benefits and competitive advantage
• 3.13 Vehicle identity and lifecycle management
• 3.14 Autonomous vehicle and data management
  • 3.14.1 Sensor data integrity and validation
  • 3.14.2 Machine learning model management
  • 3.14.3 Liability and accident investigation
  • 3.14.4 Data monetization and sharing
• 3.15 Mobility services and payment integration
  • 3.15.1 Ride-sharing and car-sharing platforms
  • 3.15.2 Electric vehicle charging and energy management
  • 3.15.3 Smart city integration and infrastructure
  • 3.15.4 Insurance and risk management
• 3.16 Cybersecurity and data protection framework
  • 3.16.1 Automotive cybersecurity and blockchain integration
  • 3.16.2 Blockchain security and threat assessment
  • 3.16.3 Data privacy and compliance management
  • 3.16.4 Incident response and business continuity
• 3.17 Sustainability and environmental impact analysis
  • 3.17.1 Carbon footprint tracking and reporting
  • 3.17.2 Circular economy and material traceability
  • 3.17.3 Environmental compliance and reporting
  • 3.17.4 Green technology and innovation
• 3.18 Future technology roadmap and innovation timeline
  • 3.18.1 Blockchain technology evolution (2024-2034)
  • 3.18.2 Automotive technology integration timeline
  • 3.18.3 Industry transformation and convergence scenarios
  • 3.18.4 Market evolution and disruption assessment

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 LATAM
  • 4.2.5 MEA
• 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 type, 2021 - 2034 ($Bn)

• 5.1 Key trends
  • 5.1.1 Public blockchain
  • 5.1.2 Private blockchain
  • 5.1.3 Hybrid blockchain

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

• 6.1 Key trends
• 6.2 Solution
• 6.3 Services

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

• 7.1 Key trends
• 7.2 Passenger Cars
  • 7.2.1 Hatchbacks
  • 7.2.2 Sedans
  • 7.2.3 SUV
  • 7.2.4 MPVs
• 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)
• 7.4 Two-Wheelers

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

• 8.1 Key trends
• 8.2 Supply chain management
• 8.3 Vehicle identity and lifecycle management
• 8.4 Autonomous vehicle data management
• 8.5 Mobility services and payments
• 8.6 Others

Chapter 9 Market Estimates & Forecast, By Organization Size, 2021 - 2034 ($Bn)

• 9.1 Key trends
• 9.2 SME
• 9.3 Large enterprises

Chapter 10 Market Estimates & Forecast, By End Use, 2021 - 2034 ($Bn)

• 10.1 Key trends
• 10.2 OEMs
• 10.3 Vehicle owners
• 10.4 Mobility as a service provider
• 10.5 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

• 11.1 Key trends
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
• 11.3 Europe
  • 11.3.1 Germany
  • 11.3.2 UK
  • 11.3.3 France
  • 11.3.4 Italy
  • 11.3.5 Spain
  • 11.3.6 Russia
  • 11.3.7 Nordics
• 11.4 Asia Pacific
  • 11.4.1 China
  • 11.4.2 India
  • 11.4.3 Japan
  • 11.4.4 Australia
  • 11.4.5 South Korea
  • 11.4.6 Philippines
  • 11.4.7 Indonesia
• 11.5 Latin America
  • 11.5.1 Brazil
  • 11.5.2 Mexico
  • 11.5.3 Argentina
• 11.6 MEA
  • 11.6.1 South Africa
  • 11.6.2 Saudi Arabia
  • 11.6.3 UAE
  • 11.6.4 Nigeria

Chapter 12 Company Profiles

• 12.1 Global Players
  • 12.1.1 Amazon
  • 12.1.2 BMW Group
  • 12.1.3 ConsenSys
  • 12.1.4 Ford Motor
  • 12.1.5 General Motors
  • 12.1.6 Hyperledger Foundation
  • 12.1.7 Hyundai Motor
  • 12.1.8 IBM
  • 12.1.9 Mercedes-Benz
  • 12.1.10 Microsoft
  • 12.1.11 Oracle
  • 12.1.12 R3
  • 12.1.13 Renault-Nissan-Mitsubishi Alliance
  • 12.1.14 SAP
  • 12.1.15 Toyota Motor
  • 12.1.16 Volkswagen
• 12.2 Regional Players
  • 12.2.1 MOBI
  • 12.2.2 VeChain
  • 12.2.3 OriginTrail
  • 12.2.4 Chronicled
  • 12.2.5 Ambrosus
  • 12.2.6 Provenance
  • 12.2.7 Everledger
• 12.3 Emerging Players
  • 12.3.1 CarVertical
  • 12.3.2 AutoBlock