PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1532612
PUBLISHER: Global Market Insights Inc. | PRODUCT CODE: 1532612
Optical Remote Sensing for Automotive Exhaust System Market - By Technology (Active Remote Sensing, Passive Remote Sensing), By Component, By Fuel Type, By Vehicle Type, By Emission Type, By End Use, & Forecast, 2024 - 2032
Optical Remote Sensing for Automotive Exhaust System Market size is set to witness over 14% CAGR from 2024 to 2032 due to growing environmental concerns and the need for regulatory compliance. This technology is enabling precise monitoring of exhaust emissions to ensure vehicles meet the stringent environmental standards. These systems employ optical sensors to detect and analyze pollutants for providing real-time data to improve emission control.
Furthermore, advancements in optical remote sensing are enhancing the accuracy and efficiency of these systems to clean automotive technologies. According to WHO, 90% of humanity breathes polluted air. To that end, the role of optical remote sensing for automotive exhaust systems is increasing for providing accurate emission monitoring in helping vehicles meet environmental standards and reduce pollution, ultimately contributing to cleaner air.
The optical remote sensing for automotive exhaust system industry is segmented into technology, component, fuel type, vehicle type, emission type, end-use, and region.
The market size from the sensors component segment will record a decent growth rate between 2024 and 2032. This is due to rising adoption for enabling precise measurement of emissions by using optical sensors to detect pollutants in real time. The ongoing improvements in sensor technology are enhancing the capabilities of optical remote sensing systems. Researchers and developers are also working on integrating more advanced sensors and analytical methods to increase the efficiency and accuracy of emission monitoring.
In terms of technology, the optical remote sensing for automotive exhaust system market from the passive remote sensing segment is anticipated to witness significant CAGR from 2024-2032. This is owing to the increasing utilization of natural light to detect and analyze emissions for offering a non-invasive method to monitor pollutants from exhaust gases. Passive sensors provide valuable data on emission levels by measuring the absorption of specific wavelengths of light. Additionally, advancements in passive remote sensing are improving the sensitivity and accuracy of these systems to detect even low concentrations of pollutants.
Asia Pacific optical remote sensing for automotive exhaust system industry size will record significant CAGR through 2032 due to the rising integration with advanced driver assistance systems (ADAS). This integration is enabling more precise monitoring of emissions by leveraging data from ADAS to enhance exhaust system performance. Researchers and developers are also working on refining these systems to offer greater reliability and efficiency, adding to the regional market growth.
Table of Contents
Chapter 1 Methodology & Scope
- 1.1 Market scope & definition
- 1.2 Base estimates & 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 360° synopsis, 2021 - 2032
- 2.2 Business trends
- 2.2.1 Total addressable market (TAM), 2024-2032
Chapter 3 Industry Insights
- 3.1 Industry ecosystem analysis
- 3.2 Vendor matrix
- 3.3 Profit margin analysis
- 3.4 Technology & 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 Growing adoption of electric vehicles
- 3.8.1.2 Growing concerns about environmental sustainability
- 3.8.1.3 Rising globalization and rapid economic development in emerging markets
- 3.8.1.4 Increasing Integration with Unmanned Aerial Vehicles (UAVs) and Satellites
- 3.8.1.5 Integration of remote sensing technologies with Artificial Intelligence (AI) and Machine Learning (ML)
- 3.8.2 Industry pitfalls & challenges
- 3.8.2.1 Data security and privacy concerns
- 3.8.2.2 Integration 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 & Forecast, By Technology, 2021 - 2032 (USD Million)
- 5.1 Key trends
- 5.2 Active remote sensing
- 5.3 Passive remote sensing
Chapter 6 Market Estimates & Forecast, By Component, 2021 - 2032 (USD Million)
- 6.1 Key trends
- 6.2 Spectral coverage
- 6.2.1 Visible and near-infrared (VNIR)
- 6.2.2 Shortwave infrared (SWIR)
- 6.2.3 Thermal infrared (TIR)
- 6.3 Sensors
- 6.3.1 Imagery sensors
- 6.3.2 Spectrometers
- 6.3.3 LiDAR sensors
- 6.4 Others
Chapter 7 Market Estimates & Forecast, By Fuel Type, 2021 - 2032 (USD Million)
- 7.1 Key trends
- 7.2 Petrol
- 7.3 Diesel
Chapter 8 Market Estimates & Forecast, By Vehicle Type, 2021 - 2032 (USD Million)
- 8.1 Key trends
- 8.2 Two-wheelers
- 8.3 Passenger vehicles
- 8.4 Commercial vehicles
Chapter 9 Market Estimates & Forecast, By Emission Type, 2021 - 2032 (USD Million)
- 9.1 Key trends
- 9.2 Carbon monoxide (CO)
- 9.3 Carbon dioxide (CO2)
- 9.4 Nitrogen oxide (NOx)
- 9.5 Hydrocarbon (HC)
- 9.6 Particulate matter (PM)
Chapter 10 Market Estimates & Forecast, By End-use, 2021 - 2032 (USD Million)
- 10.1 Government agencies
- 10.2 Auto manufacturers and fleet operators
- 10.3 Repair shops and service providers
- 10.4 Research institutions and universities
Chapter 11 Market Estimates & Forecast, By Region, 2021 - 2032 (USD Million)
- 11.1 Key trends
- 11.2 North America
- 11.2.1 U.S.
- 11.2.2 Canada
- 11.3 Europe
- 11.3.1 UK
- 11.3.2 Germany
- 11.3.3 France
- 11.3.4 Italy
- 11.3.5 Spain
- 11.3.6 Rest of Europe
- 11.4 Asia Pacific
- 11.4.1 China
- 11.4.2 India
- 11.4.3 Japan
- 11.4.4 South Korea
- 11.4.5 ANZ
- 11.4.6 Rest of Asia Pacific
- 11.5 Latin America
- 11.5.1 Brazil
- 11.5.2 Mexico
- 11.5.3 Rest of Latin America
- 11.6 MEA
- 11.6.1 UAE
- 11.6.2 South Africa
- 11.6.3 Saudi Arabia
- 11.6.4 Rest of MEA
Chapter 12 Company Profiles
- 12.1 Armstrong Monitoring
- 12.2 Hangzhou Chunlai Technology Co., Ltd. (Zetian)
- 12.3 HEAT
- 12.4 Horiba
- 12.5 Korea Environment Corporation
- 12.6 MSA SAFETY INCORPORATED
- 12.7 OPUS
- 12.8 Shanghai JZ Trade Co., Ltd
- 12.9 Shenzhen Anche Technologies Co., Ltd.
- 12.10 Tsinghua Holdings Co Ltd.
