Collision Avoidance Sensor Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032
- Report ID: ME_0091102
- Format: Electronic (PDF)
- Publish Type: Publish
- Number of Pages: 250
Market Snapshot
Source: Market Expertz
| Study Period | 2019-2032 |
| Base Year | 2023 |
| Forcast Year | 2023-2032 |
| CAGR | 7.11 |
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The Collision Avoidance Sensor Market size is estimated to grow at a CAGR of 8.45% between 2022 and 2032. The market size is forecast to increase by USD 3,567.21 million. The growth of the market depends on several factors, including the increasing focus on vehicle safety, rising demand for advanced driver assistance systems (ADAS), and government regulations mandating the installation of collision avoidance systems. Collision avoidance sensors are electronic devices that are used to detect and warn drivers of potential collisions with other vehicles, pedestrians, or obstacles. These sensors play a crucial role in preventing accidents and reducing the severity of collisions by providing timely warnings or automatically applying brakes to avoid a collision.
Collision Avoidance Sensor Market Overview:
Drivers:
One of the key factors driving the collision avoidance sensor market growth is the increasing focus on vehicle safety. With the rising number of road accidents and fatalities, there is a growing demand for technologies that can enhance the safety of vehicles and reduce the risk of collisions. Collision avoidance sensors, such as radar, lidar, and cameras, provide real-time detection and warning systems that help drivers avoid potential collisions. These sensors can detect objects in blind spots, monitor the distance between vehicles, and provide alerts or autonomous braking to prevent accidents. The increasing adoption of advanced driver assistance systems (ADAS) in vehicles is further fueling the demand for collision avoidance sensors.
Moreover, government regulations mandating the installation of collision avoidance systems in vehicles are driving the market growth. Many countries have implemented regulations that require vehicles to be equipped with collision avoidance technologies to improve road safety. For example, the European Union has mandated the installation of autonomous emergency braking (AEB) systems in new vehicles. These regulations are creating a significant demand for collision avoidance sensors in the automotive industry.
Trends:
A key trend shaping the collision avoidance sensor market is the integration of multiple sensor technologies for enhanced detection capabilities. Manufacturers are combining radar, lidar, and camera sensors to provide a comprehensive collision avoidance system that can detect objects from different angles and distances. This multi-sensor fusion technology improves the accuracy and reliability of collision detection, enabling vehicles to respond effectively to potential collision risks. Additionally, the integration of artificial intelligence (AI) and machine learning algorithms in collision avoidance systems is gaining traction. These technologies enable the sensors to learn and adapt to different driving scenarios, enhancing the overall performance and effectiveness of the collision avoidance system.
Furthermore, there is a growing demand for collision avoidance sensors in autonomous vehicles. As the development and deployment of autonomous vehicles increase, the need for advanced collision detection and avoidance systems becomes crucial. Collision avoidance sensors play a vital role in enabling autonomous vehicles to navigate safely and avoid collisions with other vehicles, pedestrians, or obstacles. The integration of collision avoidance sensors with other autonomous driving technologies, such as perception systems and decision-making algorithms, is essential for the safe operation of autonomous vehicles.
Restraints:
One of the key challenges hindering the collision avoidance sensor market growth is the high cost of advanced sensor technologies. Radar, lidar, and camera sensors, which are commonly used in collision avoidance systems, can be expensive to manufacture and integrate into vehicles. The high cost of these sensors may limit their adoption, especially in price-sensitive markets or for budget-conscious consumers. However, ongoing advancements in sensor technology and economies of scale are expected to gradually reduce the cost of collision avoidance sensors, making them more affordable and accessible.
Collision Avoidance Sensor Market Segmentation By Application:
The automotive segment is estimated to witness significant growth during the forecast period. Collision avoidance sensors play a critical role in enhancing vehicle safety by detecting and warning drivers of potential collisions. These sensors are used in various applications within the automotive sector, including passenger cars, commercial vehicles, and autonomous vehicles. The increasing demand for advanced driver assistance systems (ADAS) and the growing focus on vehicle safety are driving the adoption of collision avoidance sensors in the automotive industry.
The industrial segment is also expected to contribute to the market growth. Collision avoidance sensors are used in industrial settings, such as warehouses, manufacturing facilities, and construction sites, to prevent collisions between vehicles, machinery, and workers. These sensors provide real-time detection and warning systems, helping to improve workplace safety and reduce the risk of accidents.
Collision Avoidance Sensor Market Segmentation By Type:
The radar-based collision avoidance sensor segment is expected to dominate the market during the forecast period. Radar sensors use radio waves to detect objects and measure their distance and velocity. They are widely used in collision avoidance systems due to their long-range detection capabilities, ability to operate in various weather conditions, and high accuracy. Radar-based collision avoidance sensors are used in both automotive and industrial applications, providing reliable collision detection and warning systems.
The lidar-based collision avoidance sensor segment is also expected to witness significant growth. Lidar sensors use laser beams to create a detailed 3D map of the surrounding environment, enabling accurate object detection and distance measurement. Lidar-based collision avoidance sensors are commonly used in autonomous vehicles and advanced driver assistance systems (ADAS) to provide precise and real-time detection of objects, pedestrians, and obstacles.
Regional Overview:
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North America is estimated to contribute significantly to the growth of the global collision avoidance sensor market during the forecast period. The region has a high adoption rate of advanced driver assistance systems (ADAS) and a strong focus on vehicle safety. The presence of key market players, technological advancements, and government initiatives promoting road safety further support market growth in North America.
Europe is also expected to witness substantial growth in the collision avoidance sensor market. The region has stringent regulations regarding vehicle safety and a strong automotive industry. The increasing adoption of advanced driver assistance systems (ADAS) and the growing demand for autonomous vehicles are driving the market in Europe.
Collision Avoidance Sensor Market Customer Landscape:
The collision avoidance sensor market industry report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their growth strategies.
Who are the Major Collision Avoidance Sensor Market Companies?
Companies are implementing various strategies, such as product launches, partnerships, mergers and acquisitions, and geographical expansion, to enhance their presence in the market.
Some of the major companies operating in the collision avoidance sensor market include:
- Bosch GmbH
- Continental AG
- Denso Corporation
- Infineon Technologies AG
- Intel Corporation
- NXP Semiconductors N.V.
- OMRON Corporation
- Robert Bosch GmbH
- Texas Instruments Incorporated
- Valeo SA
The research report also includes detailed analyses of the competitive landscape of the market and information about key market players. Data is qualitatively analyzed to categorize companies based on their market presence and strength.
Segment Overview:
The collision avoidance sensor market report forecasts market growth by revenue at global, regional, and country levels and provides an analysis of the latest trends and growth opportunities from 2019 to 2032.
- Application Outlook (USD Million, 2019 - 2032)
o Automotive
o Industrial
o Others
- Type Outlook (USD Million, 2019 - 2032)
o Radar-based
o Lidar-based
o Camera-based
o Ultrasonic-based
o Others
- Geography Outlook (USD Million, 2019 - 2032)
o North America
- The U.S.
- Canada
o Europe
- K.
- Germany
- France
- Rest of Europe
o Asia Pacific
- China
- India
o South America
- Brazil
- Argentina
- Rest of South America
o Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of Middle East & Africa
TABLE OF CONTENTS: GLOBAL Collision Avoidance Sensor MARKET
Chapter 1. MARKET SYNOPSIS
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. EXECUTIVE SUMMARY
2.1. Summary Snapshot, 2016 – 2027
Chapter 3. INDICATIVE METRICS
3.1. Macro Indicators
Chapter 4. Collision Avoidance Sensor MARKET SEGMENTATION & IMPACT ANALYSIS
4.1. Collision Avoidance Sensor Consumption Segmentation Analysis
4.2. Industrial Outlook
4.3. Price Trend Analysis
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.5.1. Power Of Suppliers
4.5.2. Power Of Buyers
4.5.3. Threat Of Substitutes
4.5.4. Threat Of New Entrants
4.5.5. Competitive Rivalry
Chapter 5. Change Collision Avoidance Sensor MARKET BY TYPE INSIGHTS & TRENDS
5.1. Segment 1 Dynamics & Market Share, 2019 & 2027
5.2. Radar
5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.3. LiDAR
5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.4. Ultrasound
5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
5.5. Others
5.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
5.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 6. Collision Avoidance Sensor MARKET BY APPLICATION INSIGHTS & TRENDS
6.1. Segment 2 Dynamics & Market Share, 2019 & 2027
6.2. Automotive
6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.3. Aerospace & Defense
6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.4. Marine
6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.5. Warehousing & Logistics
6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
6.6. Others
6.6.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)
6.6.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)
Chapter 7. Collision Avoidance Sensor MARKET REGIONAL OUTLOOK
7.1. Collision Avoidance Sensor Market Share By Region, 2019 & 2027
7.2. NORTH AMERICA
7.2.1. North America Collision Avoidance Sensor Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.2. North America Collision Avoidance Sensor Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.3. North America Collision Avoidance Sensor Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.4. North America Collision Avoidance Sensor Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.5. U.S.
7.2.5.1. U.S Collision Avoidance Sensor Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.5.2. U.S. Collision Avoidance Sensor Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.5.3. U.S. Collision Avoidance Sensor Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.5.4. U.S. Collision Avoidance Sensor Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.2.6. CANADA
7.2.6.1. Canada Collision Avoidance Sensor Market Estimates And Forecast, 2016 – 2027, (USD Million)
7.2.6.2. Canada Collision Avoidance Sensor Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.2.6.3. Canada Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.2.6.4. Canada Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3. EUROPE
7.3.1. Europe Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.2. Europe Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million
7.3.3. Europe Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.4. Europe Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.5. GERMANY
7.3.5.1. Germany Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.5.2. Germany Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.5.3. Germany Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.5.4. Germany Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.6. FRANCE
7.3.6.1. France Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.6.2. France Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.6.3. France Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.6.4. France Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.3.7. U.K.
7.3.7.1. U.K. Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.3.7.2. U.K. Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.3.7.3. U.K. Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.3.7.4. U.K Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4. ASIA-PACIFIC
7.4.1. Asia Pacific Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.2. Asia Pacific Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.3. Asia Pacific Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.4. Asia Pacific Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.5. CHINA
7.4.5.1. China Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.5.2. China Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.5.3. China Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.5.4. China Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.6. INDIA
7.4.6.1. India Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.6.2. India Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.6.3. India Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.6.4. India Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.7. JAPAN
7.4.7.1. Japan Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.7.2. Japan Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.7.3. Japan Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.7.4. Japan Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.4.8. AUSTRALIA
7.4.8.1. Australia Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.4.8.2. Australia Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.4.8.3. Australia Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.4.8.4. Australia Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.5. MIDDLE EAST AND AFRICA (MEA)
7.5.1. Mea Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.5.2. Mea Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.5.3. Mea Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.5.4. Mea Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
7.6. LATIN AMERICA
7.6.1. Latin America Collision Avoidance Sensor Estimates And Forecast, 2016 – 2027, (USD Million)
7.6.2. Latin America Collision Avoidance Sensor Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)
7.6.3. Latin America Collision Avoidance Sensor Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)
7.6.4. Latin America Collision Avoidance Sensor Estimates And Forecast By Production Process, 2016 –2027, (USD Million)
7.6.5. Latin America Collision Avoidance Sensor Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)
Chapter 8. COMPETITIVE LANDSCAPE
8.1. Market Share By Manufacturers
8.2. Strategic Benchmarking
8.2.1. New Product Launches
8.2.2. Investment & Expansion
8.2.3. Acquisitions
8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures
8.3. Vendor Landscape
8.3.1. North American Suppliers
8.3.2. European Suppliers
8.3.3. Asia-Pacific Suppliers
8.3.4. Rest Of The World Suppliers
Chapter 9. COMPANY PROFILES
9.1. Robert Bosch GmbH
9.1.1. Company Overview
9.1.2. Financial Performance
9.1.3. Product Insights
9.1.4. Strategic Initiatives
9.2. Denso Corporation
9.2.1. Company Overview
9.2.2. Financial Performance
9.2.3. Product Insights
9.2.4. Strategic Initiatives
9.3. Rockwell Collins
9.3.1. Company Overview
9.3.2. Financial Performance
9.3.3. Product Insights
9.3.4. Strategic Initiatives
9.4. General Electric Company
9.4.1. Company Overview
9.4.2. Financial Performance
9.4.3. Product Insights
9.4.4. Strategic Initiatives
9.5. Continental AG
9.5.1. Company Overview
9.5.2. Financial Performance
9.5.3. Product Insights
9.5.4. Strategic Initiatives
9.6. Honeywell International Inc
9.6.1. Company Overview
9.6.2. Financial Performance
9.6.3. Product Insights
9.6.4. Strategic Initiatives
9.7. Infineon Technologies AG
9.7.1. Company Overview
9.7.2. Financial Performance
9.7.3. Product Insights
9.7.4. Strategic Initiatives
9.8. Magna International Inc
9.8.1. Company Overview
9.8.2. Financial Performance
9.8.3. Product Insights
9.8.4. Strategic Initiatives
9.9 . Microchip Technology Inc
9.9.1. Company Overview
9.9.2. Financial Performance
9.9.3. Product Insights
9.9.4. Strategic Initiatives
9.10. NXP Semiconductor
9.10.1. Company Overview
9.10.2. Financial Performance
9.10.3. Product Insights
9.10.4. Strategic Initiatives
RESEARCH METHODOLOGY
A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.
Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.
Now let’s take a closer look at the research methods here.
Secondary Research Model
Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.
Primary Insights
Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.
However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.
Market Estimation
The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.
Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.
Final Presentation
The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.
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