자동차 블랙박스 시장 기회, 성장 촉진요인, 업계 동향 분석 및 예측(2026-2035년)

The Global Automotive Dashcam Market was valued at USD 2.3 billion in 2025 and is estimated to grow at a CAGR of 7.6% to reach USD 4.8 billion by 2035.

The market continues to gain momentum as vehicle owners, fleet operators, insurers, and transportation companies increasingly recognize the value of video-based monitoring and evidence collection solutions. Automotive dashcams have evolved from basic recording devices into sophisticated safety and connectivity platforms capable of supporting a broad range of vehicle management functions. Growing concerns regarding road safety, accident documentation, liability protection, and driver accountability are significantly contributing to market expansion. In addition, the rising integration of artificial intelligence, real-time analytics, and intelligent monitoring capabilities is transforming the role of dashcams within modern vehicles. These systems now support proactive safety functions by continuously monitoring driving conditions, vehicle movements, and driver behavior. The increasing adoption of connected vehicle technologies and advanced telematics platforms is further accelerating demand across both consumer and commercial vehicle segments. Furthermore, improvements in image quality, data storage capabilities, wireless connectivity, and cloud-based services are enhancing product value and encouraging wider adoption. As automotive technologies continue to advance, dashcams are becoming an increasingly important component of vehicle safety, security, and operational efficiency strategies worldwide.

The 1-channel dashcam segment accounted for 32.5% share in 2025, generating USD 761.8 million. Single-channel systems continue to maintain strong demand among first-time users and budget-conscious consumers seeking dependable video recording solutions. Manufacturers have significantly improved the capabilities of these products by incorporating advanced features while maintaining affordability. Their balance of functionality, ease of installation, and cost-effectiveness continues to support widespread adoption across multiple vehicle categories.

The advanced dashcam segment held a 51.9% share, generating USD 1.22 billion in 2025. Market growth is being driven by increasing demand for intelligent vehicle monitoring solutions that offer enhanced connectivity, location tracking, remote access capabilities, and automated event detection. Advanced dashcams provide greater value through integrated ecosystems that combine video recording, vehicle monitoring, and data management functionalities. These systems are increasingly being adopted as vehicle owners seek enhanced protection, improved security, and comprehensive driving insights.

China Automotive Dashcam Market generated USD 522.9 million in 2025 and is projected to reach USD 1.27 billion by 2035, reflecting a CAGR of 9.3%. Market expansion is supported by the country's extensive vehicle population, growing consumer awareness of vehicle safety technologies, and strong domestic manufacturing capabilities. Increasing demand for connected vehicle solutions, intelligent transportation technologies, and advanced automotive electronics continues to drive adoption. Competitive pricing, rapid technology integration, and expanding availability of feature-rich products are further contributing to the market's growth across the country.

Key companies operating in the global automotive dashcam market include DDPAI, Nexar, Vantrue, Garmin, Thinkware, Pittasoft (BlackVue), Nextbase, Rexing, VIOFO, 70mai, JVCKENWOOD, Mio Technology, Cobra Electronics, Papago, Redtiger, Qubo, KENT Cam, Apeman, Momento, and Transcend Information. Companies operating in the automotive dashcam market are focusing on product innovation, technology integration, and strategic partnerships to strengthen their market position. Manufacturers are investing in artificial intelligence, cloud connectivity, real-time analytics, and advanced video processing capabilities to enhance product performance and differentiate their offerings. Many companies are expanding their portfolios with smart dashcams that integrate seamlessly with connected vehicle ecosystems and mobile applications. Strategic collaborations with automotive manufacturers, fleet operators, insurance providers, and telematics companies are helping increase market penetration and customer reach.

Table of Contents

Chapter 1 Methodology

• 1.1 Research approach
• 1.2 Quality Commitments
  • 1.2.1 GMI AI policy & data integrity commitment
• 1.3 Research Trail & Confidence Scoring
  • 1.3.1 Research Trail Components
  • 1.3.2 Scoring Components
• 1.4 Data Collection
• 1.5 Data mining sources
  • 1.5.1 Paid sources
• 1.6 Base estimates and calculations
  • 1.6.1 Base year calculation
• 1.7 Forecast model
  • 1.7.1 Quantified market impact analysis
• 1.8 Research transparency addendum
  • 1.8.1 Source attribution framework
  • 1.8.2 Quality assurance metrics
  • 1.8.3 Our commitment to trust

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Product
  • 2.2.3 Technology
  • 2.2.4 Video Quality
  • 2.2.5 Vehicle
  • 2.2.6 Sales Channel
• 2.3 TAM analysis, 2026-2035
• 2.4 CXO perspectives: Strategic imperatives

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 Road Accidents & Demand for Evidence Collection
    • 3.2.1.2 Increasing Insurance Fraud Cases & Claims Verification Needs
    • 3.2.1.3 Integration with AI-Powered ADAS & Safety Systems
    • 3.2.1.4 Expansion of Commercial Fleets, Ride-Hailing & Logistics Services
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 Data Privacy Concerns & Regulatory Restrictions
    • 3.2.2.2 Product Quality Issues & Fragmented Competitive Landscape
  • 3.2.3 Market opportunities
    • 3.2.3.1 Convergence with Usage-Based Insurance (UBI) Data Platforms
    • 3.2.3.2 Adoption of Cloud-Connected 4G/LTE/5G Video Telematics
    • 3.2.3.3 Institutional Support & Government Mandates
• 3.3 Technology and innovation landscape
  • 3.3.1 Current technological trends
  • 3.3.2 Emerging technologies
• 3.4 Growth potential analysis
• 3.5 Pricing Analysis (Driven by Primary Research)
  • 3.5.1 Historical Price Trend Analysis
  • 3.5.2 Pricing Strategy by Player Type (Premium / Value / Cost-plus)
• 3.6 Regulatory landscape
  • 3.6.1 North America
    • 3.6.1.1 US - National Highway Traffic Safety Administration
    • 3.6.1.2 US - Federal Motor Carrier Safety Administration
    • 3.6.1.3 Canada - Transport Canada
  • 3.6.2 Europe
    • 3.6.2.1 EU - EU Directorate-General for Mobility and Transport
    • 3.6.2.2 UK - Driver and Vehicle Standards Agency
  • 3.6.3 Asia Pacific
    • 3.6.3.1 China - Ministry of Industry and Information Technology
    • 3.6.3.2 Japan - Ministry of Land, Infrastructure, Transport and Tourism
  • 3.6.4 LATAM
    • 3.6.4.1 Brazil - National Traffic Department
    • 3.6.4.2 Argentina - National Road Safety Agency
  • 3.6.5 MEA
    • 3.6.5.1 South Africa - Road Traffic Management Corporation
    • 3.6.5.2 Saudi Arabia - Saudi Standards, Metrology and Quality Organization
• 3.7 Porter's analysis
• 3.8 PESTEL analysis
• 3.9 Trade Data Analysis (Driven by Paid Database)
  • 3.9.1 Import/Export Volume & Value Trends
  • 3.9.2 Key Trade Corridors & Tariff Impact
• 3.10 Capacity & Production Landscape (Driven by Primary Research)
  • 3.10.1 Installed Capacity by Region & Key Producer
  • 3.10.2 Capacity Utilization Rates & Expansion Pipelines
• 3.11 Cost breakdown analysis
• 3.12 Patent analysis (Driven by Primary Research)
• 3.13 Sustainability and environmental aspects
  • 3.13.1 Sustainable Practices
  • 3.13.2 Waste Reduction Strategies
  • 3.13.3 Energy Efficiency in Production
  • 3.13.4 Eco-friendly Initiatives
  • 3.13.5 Carbon Footprint Considerations
• 3.14 Impact of AI & generative AI on the market
  • 3.14.1 AI-driven disruption of existing business models
  • 3.14.2 GenAI use cases & adoption roadmap by segment
  • 3.14.3 Risks, limitations & regulatory considerations
• 3.15 Forecast assumptions & scenario analysis (Driven by Primary Research)
  • 3.15.1 Base Case- Key Macro & Industry Variables Driving CAGR
  • 3.15.2 Optimistic Scenarios- Favorable macro and industry tailwinds
  • 3.15.3 Pessimistic Scenario - Macroeconomic slowdown or industry headwinds

Chapter 4 Competitive Landscape, 2025

• 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 Key developments
  • 4.5.1 Mergers & acquisitions
  • 4.5.2 Partnerships & collaborations
  • 4.5.3 New product launches
  • 4.5.4 Expansion plans and funding
• 4.6 Company tier benchmarking
  • 4.6.1 Tier classification criteria & qualifying thresholds
  • 4.6.2 Tier positioning matrix by revenue, geography & innovation

Chapter 5 Market Estimates and Forecast, By Product, 2022 - 2035 ($ Mn, Units)

• 5.1 Key trends
• 5.2 1-Channel
• 5.3 2-Channel
• 5.4 Rear View
• 5.5 Multi-Channel

Chapter 6 Market Estimates and Forecast, By Technology, 2022 - 2035 ($ Mn, Units)

• 6.1 Key trends
• 6.2 Basic Dashcams
• 6.3 Advanced Dashcams
• 6.4 Smart Dashcams

Chapter 7 Market Estimates and Forecast, By Video Quality, 2022 - 2035 ($ Mn, Units)

• 7.1 Key trends
• 7.2 SD & HD (up to 1080p)
• 7.3 Full HD & 4K (1080p and above)

Chapter 8 Market Estimates and Forecast, By Vehicle, 2022 - 2035 ($ Mn, Units)

• 8.1 Key trends
• 8.2 Passenger cars
  • 8.2.1 Hatchback
  • 8.2.2 Sedan
  • 8.2.3 SUV
• 8.3 Commercial vehicles
  • 8.3.1 Light commercial vehicles
  • 8.3.2 Medium commercial vehicles
  • 8.3.3 Heavy commercial vehicles

Chapter 9 Market Estimates and Forecast, By Sales Channel, 2022 - 2035 ($ Mn, Units)

• 9.1 Key trends
• 9.2 OEM/OE-Integrated
• 9.3 Aftermarket
  • 9.3.1 Online
  • 9.3.2 In-Store/Offline

Chapter 10 Market Estimates & Forecast, By Region, 2022 - 2035 ($Mn, Units)

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

Chapter 11 Company Profiles

• 11.1 Global players
  • 11.1.1 Garmin
  • 11.1.2 Pittasoft (BlackVue)
  • 11.1.3 Thinkware
  • 11.1.4 70mai
  • 11.1.5 Nextbase
  • 11.1.6 Rexing
  • 11.1.7 VIOFO
  • 11.1.8 JVCKENWOOD
  • 11.1.9 Cobra Electronics
  • 11.1.10 Mio Technology
  • 11.1.11 Transcend Information
• 11.2 Regional players
  • 11.2.1 Papago
  • 11.2.2 Redtiger
  • 11.2.3 Qubo
  • 11.2.4 KENT Cam
  • 11.2.5 Apeman
  • 11.2.6 Vantrue
• 11.3 Emerging players
  • 11.3.1 Nexar
  • 11.3.2 Momento
  • 11.3.3 DDPAI