The global environmental monitoring services market is anticipated to grow at a considerable CAGR of 8.2% during the forecast period. Considering environmental rules are constantly limiting the amount of emissions allowed over time, there is a rising need for flexible and practicable environmental monitoring for the process industry (and adjacent populations), such as emission, wastewater quality, and air pollution monitoring. Innovative environmental monitoring and process monitoring technologies based on the industrial internet of things (IIoT) and artificial intelligence (AI) enable the process industry to take a proactive approach to asset integrity management and environmental monitoring. Traditionally, contaminants in the air or water have been monitored using stationary monitoring stations or, in certain cases, irregular manual sampling.
Due to the expensive cost of sensors as well as the maintenance of a monitoring network, sensors can only be deployed in a limited number of places, resulting in incomplete geographical and temporal coverage or delayed and erroneous pollution data. Because IIoT technologies remove the limits of physical connections between sensors and the processing center, they enable new environmental quality monitoring approaches based on alternative water pollutant and emission monitoring and dynamic sensing methodologies. Alternative monitoring technologies, such as optical and remote sensing instruments, as well as wireless sensors, can detect pollution from a specific equipment/area/unit/plant in real time. Process monitoring systems based on IIoT can provide answers for operating and emission management challenges by utilizing big data methods and smart cloud computing.
Frameworks for sensor placement and route planning are critical for fully realizing the potential of an IIoT platform with mobile sensor systems. It usually consists of a model that predicts the spatiotemporal distribution of pollutants and an optimizer that determines the best sensor locations/routes. For instance, in June, 2021 an advanced version of AREMOD, stoAERMOD, was developed at Vishwamitra Research Institute (VRI), which can model the distribution of pollutants by incorporating stochastic inputs in terms of both sources as well as meteorological data, for example, wind speed and temperature.
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Market Coverage
- The market number available for – 2023-2031
- Base year- 2023
- Forecast period- 2024-2031
Segment Covered-
- By Product Type
- By Application
- By End-User
Regions Covered-
- North America
- Europe
- Asia-Pacific
- Rest of the World
Competitive Landscape- includes 3M Co., Siemens AG, Honeywell International Inc., and other
Environmental Monitoring Service Market Report Segment
By Product Type
- Environmental Monitoring Kits
- Environmental Monitoring Software
By Application
- Particulate Detection
- Chemical Detection
- Air Pollution
- Temperature Sensing
- Noise Measurement
- Others (Moisture Detection, Soil Detection)
By End-User
- Government Agencies & Smart City Authorities
- Industrial
- Healthcare
- Others (Agriculture, Residential and Commercial)
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Environmental Monitoring Service Market Report Segment by Region
North America
- United States
- Canada
Europe
- UK
- Germany
- Spain
- France
- Italy
- Rest of Europe
Asia-Pacific
- India
- China
- Japan
- South Korea
- Rest of APAC
Rest of the World
- Latin America
- Middle East and Africa
Company Profiles
- Agilent Technologies Inc.
- BIOMÉRIEUX
- Danaher
- Emerson Electric Co.
- Forbes Marshall Pvt. Ltd
- HORIBA, Ltd.
- Merck KGaA
- PerkinElmer Inc.,
- Sensors, Inc.
- Shimadzu Corporation
- Spectris
- TE Connectivity
- Teledyne Technologies Incorporated
- Thermo Fisher Scientific Inc.
- Viroxy Sdn. Bhd.
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