Automated Weather Station Market Trend, Application and Region–Forecast till 2029

Automated Weather Station (AWS) is an automated variant of the conventional weather station. It is a device that automatically transmits or tracks findings collected from measurement instruments. Observations of meteorological factors are transformed into electrical signals by sensors integrated into the AWS, and the signals are then analyzed and translated into weather records. The resulting information is eventually conveyed by wire or radio or deposited automatically on a recording medium.

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The global automated weather station market is expected to grow from USD 296.73 million in the year 2019 to USD 717.5 million in 2029 at a compound annual growth rate (CAGR) of 8% in the forecast period.

Key Players

The Weather Company
Danaher Corporation
Campbell Scientific
Airmar Technology Corporation
All Weather, Inc.
Morcom International
Columbia Weather Systems
Vaisala
Skye Instruments
Pulsonic
Microstep
OTT HydroMet
Degreane
MFI (Meteo France International)

By Product Type
CRS (Central Reservation System), Channel Manager, Booking Engine, Digital Services, Property Management, Other

By Hotel Type
Business Hotel, Resorts and Spas, Boutique Hotel, Others

By Deployment Model
On-Premise, On-Cloud

By Service
System and Integration, Professional Services, Managed Services, Other

High Chances of Inaccuracies

The automated weather stations consist of a variety of outdoor weather sensors that communicate with an indoor display device. These weather stations are intricately aligned internally and loaded with sensors to provide a comprehensive analysis of the weather. Inaccurate results gravely impact the automated weather stations. Further, certain factors that are anticipated to give rise to inaccurate resultare:

Inappropriate supply of power
Fault in the internal connections
Disturbances from the surroundings

Further, the issues may persist on account of the integration of additional sensors on the weather stations. The compatibility issues with the deployment of sensors of other brands or the utilization of cost-effective stations/sensors have also led to inaccurate results, thereby restraining the growth of the market.

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