세계의 보행자 감지 시스템 시장 : 기회, 성장 촉진요인, 산업 동향 분석 및 예측(2024-2032년)

The Global Pedestrian Detection System market size is anticipated to witness over 14.8% CAGR between 2024 and 2032 fueled by tightening safety regulations and technological strides in the automotive sector. In a bid to curb traffic accidents and bolster pedestrian safety, global governments and regulatory entities are rolling out stringent safety standards. In response, automotive manufacturers are channeling investments into advanced driver-assistance systems (ADAS), prominently featuring pedestrian detection. For example, in December 2023, Powerfleet unveiled its AI-driven Pedestrian Proximity Detection solution, aimed at bolstering safety for materials handling equipment (MHE) in warehouses and manufacturing settings.

As the automotive realm edges closer to heightened automation, the imperative for precise and dependable pedestrian detection intensifies, not just for safe operations but also to align with regulatory mandates. Growing consumer awareness and a heightened demand for superior vehicle safety features will further fuel market expansion.

The overall industry is divided into component, technology, vehicle type, distribution channel, application, and region.

Based on technology, the pedestrian detection system market size from the infrared systems segment is slated to witness significant growth during 2024-2032. This surge is attributed to their prowess in boosting visibility and detection precision during low-light scenarios and adverse weather. Leveraging thermal imaging, infrared systems can sense the heat radiated by pedestrians. This makes them adept at spotting individuals in challenging conditions like darkness, fog, or torrential rain. Such capabilities not only bolster the reliability of pedestrian detection systems but also play a pivotal role in accident prevention and enhancing road safety.

Pedestrian detection system market from the traffic management application segment will foresee considerable growth up to 2032. This trend is driven by a commitment to bolster road safety and operational efficiency. By weaving pedestrian detection systems into traffic management frameworks, urban centers can refine their oversight of pedestrian crossings and bustling zones. These systems, adept at real-time monitoring of pedestrian dynamics, play a crucial role in accident mitigation and traffic optimization.

Asia Pacific pedestrian detection system industry is anticipated to witness substantial growth through 2032 attributed to rapid urbanization, increasing vehicle ownership, and a growing emphasis on road safety. As urban areas expand and the number of vehicles on the road rises, there is a heightened need for advanced safety technologies to manage traffic and protect pedestrians in the region.

Table of Contents

Chapter 1 Methodology and Scope

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates and calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

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 Software providers
  • 3.2.2 Service provider
  • 3.2.3 Technology providers
  • 3.2.4 End user
• 3.3 Profit margin analysis
• 3.4 Technology and innovation landscape
• 3.5 Patent analysis
• 3.6 Key news and initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Stringent government regulations and safety mandates
    • 3.8.1.2 Integration of PDS with ADAS
    • 3.8.1.3 Rising traffic accidents and pedestrian fatalities
    • 3.8.1.4 Advancements in sensor technology and AI
  • 3.8.2 Industry pitfalls and challenges
    • 3.8.2.1 Cost and implementation challenges
    • 3.8.2.2 Regulatory and ethical considerations
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 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 and Forecast, By Component, 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Hardware
  • 5.2.1 Cameras
  • 5.2.2 Sensors (ultrasonic, infrared, LiDAR, radar)
  • 5.2.3 Control units
  • 5.2.4 Others
• 5.3 Software
  • 5.3.1 Detection algorithms
  • 5.3.2 Data processing software
  • 5.3.3 Others

Chapter 6 Market Estimates and Forecast, By Technology, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 Vision-based systems
• 6.3 Sensor fusion systems
• 6.4 Infrared systems
• 6.5 Ultrasonic systems

Chapter 7 Market Estimates and Forecast, By Vehicle Type, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Passenger vehicles
• 7.3 Commercial vehicles

Chapter 8 Market Estimates and Forecast, By Distribution Channel, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 OEMs
• 8.3 Aftermarket

Chapter 9 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 Traffic management
• 9.3 Surveillance
• 9.4 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 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 Russia
  • 10.3.7 Nordics
  • 10.3.8 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Southeast Asia
  • 10.4.7 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
  • 10.5.4 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 Adasky
• 11.2 Aisin Seiki
• 11.3 Aptina Imaging
• 11.4 Aptiv
• 11.5 Autoliv
• 11.6 Continental
• 11.7 Denso Corporation
• 11.8 FLIR Systems
• 11.9 Hella
• 11.10 Intel Corporation
• 11.11 Magna International
• 11.12 NVIDIA Corporation
• 11.13 NXP Semiconductors
• 11.14 RobertBosch
• 11.15 Siemens Mobility
• 11.16 Valeo
• 11.17 Velocomp
• 11.18 Velodyne Lidar
• 11.19 XenomatiX
• 11.20 ZX Fridricjshafen