The global synoptic weather stations market size is valued at USD 661.74 million by 2030 and is predicted to grow at a CAGR of 9.21% during the forecast period.
Growing demand for weather forecasting utilizing big data analytics, rising need for continuous weather monitoring to enable catastrophe management, and increased demand for climate change patterns resulting in uncertainty about rainfall are all driving the global synoptic weather stations market growth.
Predictive analytics is also changing the way weather forecasting is done in the future. Weather scientists also use bigdata analytics to forecast future weather conditions based on current and historical data. Big data analytics are also used to predict potentially life-threatening natural weather occurrences on supercomputers precisely. The solution, end-user, and region are the three segments that make up the global synoptic weather stations market share.
Weather service companies and the military use synoptic weather stations to acquire data on the weather and environment of specific locations by combining data from many sensors.
Synoptic weather stations are critical in alerting the weather service and government officials to potentially harmful weather events such as cyclones, lightning, heavy rain, and natural disasters to take appropriate actions ahead of time to save lives. The military frequently utilizes these devices to deliver weather updates while performing military operations, lowering the risk of essential operations being affected.
To increase the accuracy of synoptic weather stations, various variables are examined, such as current technology to improve data analytics and supercomputers to offer exact information. These factors are anticipated to spur synoptic weather stations from weather service providers and the military, driving the global synoptic weather stations market growth ahead over the forecast period.
Global warming has become a serious threat in recent years. Climate change has far-reaching and unprecedented consequences, ranging from changing weather patterns that imperil food security to increasing sea levels that increase the risk of harmful floods.
According to a 2019 study published in Science Advances titled "Human-induced changes in the distribution of rainfall." This change is predicted to affect the water supply for many people around the planet. Furthermore, intense hurricanes are expected to occur due to global warming, devastating the ecosystem and impacting everyday human life.
Storm frequency would increase by 9% globally and by 23% in the Atlantic Basin by the end of the twenty-first century, according to a 2019 study published in the American Meteorological Society. Adapting to these repercussions will be more difficult and costly in the future if significant efforts are not taken today. Furthermore, installing synoptic weather stations will help mitigate the consequences of uncertainty, allowing for market expansion.
Weather forecasting is "important" in meeting "the food, fodder, fiber, and renewable agri-energy needs of rapidly rising populations," according to the World Meteorological Organization.
The WMO2 (World Meteorological Organization, 2008) requirements for meteorological instruments and observation procedures should be followed while designing the synoptic weather station. The guidelines cover measuring accuracy, maximum height limits, and measurement techniques, among other things. The system's ability to scale is hampered as a result of this.
Due to component limits, the synoptic weather station's design options are limited. Wireless sensor nodes, for example, have limited memory and processing power, and additional limitations may be imposed by the synoptic weather station's operational environment.
Compared to those on the grid, synoptic weather stations deployed in remote off-grid sites may have insufficient power sources. As data transmission consumes a lot of energy, the frequency of transmissions in wireless sensor networks is also regulated. This is a major drawback negatively affecting the demand for synoptic weather stations.
Automated weather stations have been able to include improved weather forecasting technologies as a result of the increasing frequency of natural disasters and the availability of significant and effective government assistance. Internet, wireless access, digital database forecasting, next-generation workstations, and nowcasting technologies have all helped to improve public weather services. Solar panels, wind turbines, and mobile phone technologies are all used to provide remote access to these weather stations. Some automated weather stations use supercomputers, high-end radars, tiny satellites, and big data analytics to monitor the weather.
For example, IBM and The Weather Company have been implementing cutting-edge technology into their products. The company bought Red Hat in 2019 to help adopt the next-generation multi-cloud platform. Columbia Weather Systems also unveiled the Pulsar 400, a system that uses a high-resolution Doppler radar to collect velocity data on distant objects using the Doppler Effect. Market growth has increased as a result of the effective adoption of new technologies.
The Internet of Things is rapidly expanding, and in terms of features and functionality, it has already surpassed previous systems. Its remote monitoring and advanced analytics tools change businesses and deliver outstanding results.
Temperature monitoring systems can be used for a variety of purposes. They provide substantial benefits in ensuring that environmental conditions are steady and managed according to predefined parameters.
An IoT system provides a real-time notification mechanism. As a result, a corporation can monitor environmental parameters using an IoT-enabled Synoptic weather station via a secure web/mobile interface. This eliminates time-consuming operations such as manual readings and allows for faster decision-making.
Remote temperature monitoring is possible thanks to IoT's expanded telemetry capabilities. Sensor data can be accessed remotely through a web application or a mobile app. Multiple profiles can receive data in real-time from an IoT-enabled Synoptic weather station. This improves visibility between the supplier and the carrier, allowing for remote monitoring of KPIs.
The cost of wireless sensor systems and meteorological weather stations has decreased marginally as a result of the Internet of Things for the following reasons:
The initial wave of low-cost IoT-enabled synoptic weather stations is being replaced by researchers, smart-city administrators, and resilient-city projects, ushering in the second phase of IoT sensor adoption. High-quality professional meteorological sensors are used to ensure long-term measurement stability in all circumstances.
| Study Period | 2020-2032 | CAGR | 9.21% |
| Historical Period | 2020-2022 | Forecast Period | 2024-2032 |
| Base Year | 2023 | Base Year Market Size | USD XX Billion |
| Forecast Year | 2032 | Forecast Year Market Size | USD XX Billion |
| Largest Market | Europe | Fastest Growing Market | Asia Pacific |
Based on region, the global synoptic weather stations market share is segmented into North America, Europe, Asia-Pacific, Central, South America and Caribbean, and the Middle East & Africa. Europe and Asia-Pacific dominated the market in 2021.
Europe dominated the synoptic weather stations market and is expected to grow at a CAGR of 9.18% generating a revenue of USD 189.97 million in 2030. Climate change is expected to have a significant impact on the market in the Europe region. Since the Alps provide 40% of the region's freshwater, changes in snow and glacier dynamics are likely to impact freshwater availability. Summer droughts have been aggravated, forest fires have increased, and desertification has expedited throughout the Mediterranean region as temperatures have risen and precipitation has reduced.
The Asia-Pacific region held the second-largest share in the global synoptic weather stations market and is expected to grow at a CAGR of 10.67% generating a revenue of USD 209.72 million in 2030. The Asia-Pacific region is one of the most vulnerable to climate change, and its effects are expected to grow in the coming years. It also produces more than half of the world's greenhouse gas emissions. According to the United Nations Development Program (UNDP), scientists predict that sea levels will have risen 65cm (2.1ft) by the end of this century, posing an existential threat to several countries in the region.
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Based on solution, the market is divided into hardware and software. Hardware dominated the synoptic weather stations market and is anticipated to grow at a CAGR of 8.94% and to generate a revenue of USD 526.46 million in 2030. Temperature, pressure, and rain are all monitored using sensors at synoptic weather stations. Barometers, wind vane, pressure sensors, anemometers, hygrometers, rain gauges, and thermometers are among the most widely used devices in the synoptic weather stations market.
These sensors measure wind speed, wind direction, air temperature, relative humidity, barometric pressure, and precipitation and are used in a variety of applications, including hail detection, lightning hazard potential forecasting, highway snow removal, wind shear alert for air navigation, airport terminal operation, rain/snow line demarcation, melting height detection, weather modification for hail mitigation, insurance claims verification, and hydrological modeling, among others.
By end-user, aviation and transportation dominated the synoptic weather station and is predicted to grow at a CAGR of 9.75% and to generate a revenue of USD 208.86 million in 2030. Since real-time updates and airport weather forecasts are critical to the aviation industry's daily operations, service providers rely on the synoptic weather station. These companies wholly own, operate, and regulate synoptic weather stations.
Regardless of how elegant a modern airplane is, the weather has a significant impact on the flight's safety and cost management. Ground support and flight control both benefit from the data provided by these synoptic weather stations. Wind speed, wind direction, air temperature, humidity, and barometric pressure are all basic metrics.
The COVID-19 pandemic slightly affected the synoptic weather stations market share, as cross-border trade of weather station components was difficult due to import-export restrictions. Since weather prediction activities and meteorological services are not classified as critical commodities, COVID-19 regulations and rules have hampered sector operations, creating a negative environment for clients. The COVID-19 outbreak had also reduced data collection frequency, lowering the precision of observational data and complicating weather forecasting and meteorological activities.
According to the World Meteorological Organization (WMO), the outbreak substantially impacted weather forecasting models. Due to a lack of quick reaction to data gathered by weather stations and disturbing operations, the performance of the synoptic weather stations market growth had deteriorated.
The majority of synoptic weather station manufacturers are based in North America. Due to low demand, the sales were also low. Established market participants reported fewer foreign sales since commercial transportation and international import-export commerce were fully halted for a few months. Customers in MEA and South America rely on imported goods, and sales in these regions are expected to be impacted by cross-border restrictions.
