Air Sampling Pumps Market by Product (Personal Air Sampling Pumps, Area Air Sampling Pumps), by Flow Rate (Low Flow, Medium Flow, High Flow), by End-User (Industrial Manufacturing, Health Industry, Environment Industry, Others), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2024-2032
The size of the Air Sampling Pumps Market was valued at USD 54.36 USD Million in 2023 and is projected to reach USD 75.07 USD Million by 2032, with an expected CAGR of 4.72% during the forecast period. Air sampling pumps are devices used to collect air samples by drawing a measured volume of air through a filter, sorbent tube, or other collection medium. These pumps are widely used in industrial hygiene, environmental monitoring, and occupational health to assess airborne contaminants such as dust, gases, vapors, and fumes. By maintaining a consistent flow rate, air sampling pumps ensure accurate and reliable sampling, enabling the identification and quantification of pollutants for compliance, safety, or research purposes. They play a critical role in maintaining workplace safety and environmental health by monitoring exposure levels and supporting regulatory compliance.
The Air Sampling Pumps Market is influenced by several key trends:
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 4.72% from 2018-2032 |
Segmentation |
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Aspects | Details |
---|---|
Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 4.72% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
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