PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1573697
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1573697
Collision Avoidance Sensor Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
The Global Collision Avoidance Sensor Market was valued at USD 5.83 billion in 2023. Projections indicate a robust growth trajectory, with an expected CAGR of over 18% from 2024 to 2032, driven by technological advancements.
Innovations in sensor technology, such as the fusion of radar, LiDAR, and camera-based systems, have boosted the accuracy and reliability of collision avoidance systems. These enhancements facilitate precise obstacle detection, elevating vehicle safety features. Additionally, sophisticated algorithms and Artificial Intelligence (AI) for real-time data processing amplify the efficacy of these sensors, propelling market growth.
Global safety regulations play a pivotal role in driving the collision avoidance sensor market. Governments are enacting mandates for advanced vehicle safety features. For example, Europe and North America are championing the adoption of collision avoidance systems to reduce traffic accidents and bolster road safety. These regulations urge automotive manufacturers to adopt these technologies, increasing the demand for collision avoidance sensors.
Miniaturization and versatility of collision avoidance sensors are notable trends. Manufacturers are crafting compact sensors that integrate seamlessly into diverse environments, from vehicles to industrial machinery. These high-performing sensors offer installation flexibility, catering to confined spaces and varied applications. This adaptability broadens the technology's adoption across new sectors and systems.
The overall collision avoidance sensor industry is segmented based on technology, application, end-use, and region.
The LiDAR segment is expected to witness a CAGR exceeding 20%. The high-resolution 3D environmental mapping of LiDAR is crucial for advanced collision avoidance systems, necessitating detailed spatial awareness. Its growing adoption in autonomous vehicles underscores its significance in enhancing safety and navigation. LiDAR's consistent performance across diverse lighting and weather conditions makes it a preferred choice for self-driving cars and Advanced Driver Assistance Systems (ADAS).
The ACC segment is projected to lead the global market, with revenues surpassing USD 5 billion by 2032. As a vital component of ADAS, ACC boosts driving comfort and safety by autonomously adjusting speed to maintain safe distances. Rising consumer demand for such features will propel ACC adoption. Technological strides, especially in radar and camera systems, have bolstered ACC's functionality and reliability, enabling superior performance across varied driving conditions.
In 2023, North America emerged as the frontrunner in the global collision avoidance sensor market, commanding over 35% share. The region's stringent vehicle safety standards have catalyzed the swift adoption of advanced collision avoidance technologies. Substantial investments in Research and Development (R&D) and a thriving technological innovation landscape reinforce North America's dominance. The presence of leading automotive manufacturers and tech firms in the U.S. and Canada further drives demand for sophisticated collision avoidance systems.
Table of Contents
Chapter 1 Methodology and Scope
- 1.1 Market scope and definition
- 1.2 Base estimates and calculations
- 1.3 Forecast calculation
- 1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
- 1.4.2.1 Paid sources
- 1.4.2.2 Public sources
Chapter 2 Executive Summary
- 2.1 Industry 360º synopsis, 2021-2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Vendor matrix
- 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 Advances in radar and sensor technology
- 3.8.1.2 Increasing automotive safety regulations
- 3.8.1.3 Expansion of autonomous vehicle technologies
- 3.8.1.4 Growing use in industrial applications
- 3.8.1.5 Rising awareness of safety and efficiency
- 3.8.2 Industry pitfalls and challenges
- 3.8.2.1 High costs of advanced technologies
- 3.8.2.2 Integration and compatibility challenges
- 3.8.1 Growth drivers
- 3.9 Growth potential analysis
- 3.10 Porter's analysis
- 3.10.1 Supplier power
- 3.10.2 Buyer power
- 3.10.3 Threat of new entrants
- 3.10.4 Threat of substitutes
- 3.10.5 Industry rivalry
- 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 Technology, 2021-2032 (USD Million)
- 5.1 Key trends
- 5.2 Radar
- 5.3 Camera
- 5.4 Ultrasound
- 5.5 LiDAR
- 5.6 Others
Chapter 6 Market Estimates and Forecast, By Application, 2021-2032 (USD Million)
- 6.1 Key trends
- 6.2 Adaptive Cruise Control (ACC)
- 6.3 Blind Spot Detection (BSD)
- 6.4 Forward Collision Warning System (FCWS)
- 6.5 Lane Departure Warning System (LDWS)
- 6.6 Parking assistance
- 6.7 Others
Chapter 7 Market Estimates and Forecast, By End-use Industry, 2021-2032 (USD Million)
- 7.1 Key trends
- 7.2 Automotive
- 7.3 Marine
- 7.4 Rail
- 7.5 Aerospace and defense
- 7.6 Others
Chapter 8 Market Estimates and Forecast, By Region, 2021-2032 (USD Million)
- 8.1 Key trends
- 8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
- 8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Rest of Europe
- 8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Rest of Asia Pacific
- 8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Rest of Latin America
- 8.6 MEA
- 8.6.1 UAE
- 8.6.2 South Africa
- 8.6.3 Saudi Arabia
- 8.6.4 Rest of MEA
Chapter 9 Company Profiles
- 9.1 Analog Devices, Inc.
- 9.2 Continental AG
- 9.3 DENSO Corporation
- 9.4 General Electric Company
- 9.5 Hella KGaA Hueck and Co.
- 9.6 Honeywell International Inc.
- 9.7 Infineon Technologies AG
- 9.8 LeddarTech
- 9.9 Murata Manufacturing Co., Ltd.
- 9.10 NXP Semiconductors N.V.
- 9.11 Panasonic Corporation
- 9.12 Quanergy Systems
- 9.13 Robert Bosch GmbH
- 9.14 Saab AB
- 9.15 Sick AG
- 9.16 Siemens AG
- 9.17 Texas Instruments Inc.
- 9.18 Valeo
- 9.19 Velodyne LiDAR
- 9.20 ZF Friedrichshafen AG
