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Last Updated: Apr 25, 2025 | Study Period: 2023-2030
In order to identify excessive PM emissions, Particulate Matter (PM) Sensors keep an eye on the Diesel Particulate Filter (DPF operation. )'s.
The power-train control module (PCM) receives a signal from a particulate filter (PF) differential pressure sensor when it is time to start a regeneration procedure to clean the filter of diesel particulate matter (DPM), or soot.
To measure the amo exhaust, a smart sensor called the Particulate Matter (PM) Sensor is placed behind the SCR Catalyst. The smart sensor reports filter (DPF) condition via the DL7 (J1939-7) data connection. This sensor is used to monitor diesel particle filter (DPF) operation and aids in up to 99% particulate emission reduction.
Small air monitors called particle sensors measure airborne particles like smoke and dust. Particle sensors are an increasingly common approach to measure air quality since they are very inexpensive and simple to use.
PM stands for particulate matter, often known as particle pollution, which is the word used to describe an airborne combination of solid and liquid droplets. Dust, grime, soot, and smoke are examples of particles that are big enough or black enough to be visible to the unaided eye.
Particle mass, particle number, and particle size distribution metrics are now used to assess particulate matter; however, new metrics, such as particle surface area, are anticipated to become more significant in the future.
The Global Automotive Particulate Matter Sensor market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Particulate matter sensor for automobiles.
APMS-3302
The automobile particulate matter sensor, model number APMS-3302, is a laser particle sensor module for automotive use. It correctly measures PM2.5 concentration and outputs results in units of g/m via mathematical algorithm and professional calibration.
Long lifespan of more than 100,000 hours; High-temperature laser module with constant power output; Working temperature of 85°C; Multi-channel output; Intelligent identification of different dust sources; Accurate, stable, and reliable measurement in a variety of real-world and complex road conditions;
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
| 21 | Product installation rate by OEM, 2023 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2023 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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