운전자 졸음 모니터링 시스템 시장 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Driver Drowsiness Monitoring System Market reached a valuation of USD 2.6 billion in 2023 and is projected to grow at a CAGR of 9.8% from 2024 to 2032, spurred by a rising focus on road safety and the growing incidence of accidents linked to driver fatigue. Increased awareness of the importance of preventative safety measures has led to a surge in the adoption of these systems, as they enhance driver attentiveness and reduce accident risks. Based on component, the market is divided into hardware and software. The hardware segment held a significant share, exceeding USD 1.4 billion in 2023. This growth is largely due to the integration of sophisticated camera systems in modern vehicles.

Equipped with advanced image processing algorithms and infrared technology, these cameras track eye movements, blink rates, and facial cues to detect signs of drowsiness accurately. Continuous innovation in camera technology, especially around resolution and performance under varying lighting conditions, has elevated the effectiveness of these systems. Leading automotive suppliers are investing significantly in developing high-performance camera solutions to ensure reliable operation in diverse environments. In terms of vehicle type, the market is divided into passenger cars and commercial vehicles.

The passenger car segment is anticipated to grow at a CAGR of over 8% between 2024 and 2032, driven by increasing consumer awareness about vehicle safety features. With road safety becoming a top priority for consumers, driver drowsiness monitoring systems have gained traction as a key safety feature. The widespread adoption of Advanced Driver Assistance Systems (ADAS), especially in mid-range and premium passenger vehicles, has further supported this trend, as automotive manufacturers aim to differentiate their vehicles and respond to rising demand for safety-oriented innovations. Regionally, North America led the market in 2023 with over 35% of the global share.

This dominance is attributed to the region's early adoption of cutting-edge automotive technologies and robust safety regulations. North America's substantial investment in research and development has facilitated advancements in driver monitoring, placing it at the forefront of drowsiness detection technology. Additionally, the increasing demand for road safety and the expanding commercial vehicle fleet have accelerated the adoption of these systems, especially in fleet management, logistics, and passenger transport, where driver alertness is crucial.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Research design
  • 1.1.1 Research approach
  • 1.1.2 Data collection methods
• 1.2 Base estimates & calculations
  • 1.2.1 Base year calculation
  • 1.2.2 Key trends for market estimation
• 1.3 Forecast model
• 1.4 Primary research and validation
  • 1.4.1 Primary sources
  • 1.4.2 Data mining sources
• 1.5 Market definitions

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Component providers
  • 3.2.2 Manufacturers
  • 3.2.3 Software providers
  • 3.2.4 Distributors
  • 3.2.5 End users
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Case study
• 3.7 Statistics of drowsy driving crashes and fatalities
• 3.8 Regulatory landscape
• 3.9 Impact forces
  • 3.9.1 Growth drivers
    • 3.9.1.1 Increasing focus on road safety
    • 3.9.1.2 Rising adoption of ADAS
    • 3.9.1.3 Technological advancement in AI and ML
    • 3.9.1.4 Growing commercial vehicle fleet
  • 3.9.2 Industry pitfalls & challenges
    • 3.9.2.1 Integration with legacy vehicles
    • 3.9.2.2 Data privacy and security concerns
• 3.10 Growth potential analysis
• 3.11 Porter's analysis
• 3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Hardware
  • 5.2.1 Sensors
  • 5.2.2 Cameras
  • 5.2.3 Electronic control units (ECUs)
  • 5.2.4 Others
• 5.3 Software
  • 5.3.1 Image processing algorithms
  • 5.3.2 Machine learning models
  • 5.3.3 Data analytics platforms
  • 5.3.4 Integration software
  • 5.3.5 Others

Chapter 6 Market Estimates & Forecast, By Vehicle, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Passenger cars
  • 6.2.1 Hatchback
  • 6.2.2 Sedan
  • 6.2.3 SUV
• 6.3 Commercial vehicles
  • 6.3.1 Light commercial vehicles (LCV)
  • 6.3.2 Heavy commercial vehicles (HCV)

Chapter 7 Market Estimates & Forecast, By Sales Channel, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 OEMs
• 7.3 Aftermarket

Chapter 8 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Facial recognition
• 8.3 Steering pattern monitoring
• 8.4 Heart rate monitoring
• 8.5 Others

Chapter 9 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 North America
  • 9.2.1 U.S.
  • 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 Russia
  • 9.3.7 Nordics
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 India
  • 9.4.3 Japan
  • 9.4.4 Australia
  • 9.4.5 South Korea
  • 9.4.6 Southeast Asia
• 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 Aisin Seiki
• 10.2 Aptiv
• 10.3 Autoliv
• 10.4 Continental
• 10.5 Delphi Automotive
• 10.6 Denso
• 10.7 Faurecia
• 10.8 General Motors
• 10.9 Hella GmbH
• 10.10 Magna International
• 10.11 Mercedes-Benz
• 10.12 Panasonic
• 10.13 Robert Bosch
• 10.14 Seeing Machines
• 10.15 TRW Automotive
• 10.16 Valeo
• 10.17 Visteon
• 10.18 Volkswagen
• 10.19 Volvo Trucks
• 10.20 ZF Friedrichshafen