Market Overview:

Global Weather Forecasting System Market Size Was Valued At USD 2.29 Billion In 2022, And Is Expected To Reach USD 6.29 Billion By 2030, Growing At A CAGR Of 5.30% During The Forecast Period 2022 To 2030.

Science and technology are usually used together to predict the weather and surroundings in a place. It's called predicting the weather. Weather forecasting is the process of gathering numeric data about the atmosphere at a certain place and using different scientific methods to process this data in order to predict changes in the atmosphere.

Some of the main things that are driving revenue growth in the market are the increasing use of big data analytics for weather forecasting, the unpredictable trends of climate change, and the increasing use of advanced weather forecasting systems for definitions and other uses. A big part of the rise in market income is also due to the growing need to make and get more accurate information about climate and to keep an eye on it all the time. Strange changes in the weather and temperature can damage property and even kill people. Because people are worried about this, they want to find better and more accurate ways to track and predict the weather. This is another big reason why people think the market will continue to grow in the years to come. If these weathers forecast systems are right, they can help find ecological and natural disasters so that steps can be taken to stop pollution from getting worse. Weather prediction tools are becoming more important in the military because they need to know about changes in the weather in real time and keep a good eye on air traffic. These tools also help businesses learn things in real time and make better decisions so they can make as much money as possible.

Market Dynamics:

Trends:

High-resolution forecasting models meet sector-specific weather information needs: High-resolution forecasting models: High-resolution forecasting models make detailed, place-specific weather estimates. This trend is happening because businesses like agriculture, aviation, and green energy need more and more accurate and localised weather information.

Government-private collaborations enhance weather prediction and foster innovation: More and more, business weather services and government weather services are working together. The goal of these partnerships is to use the knowledge and resources of both areas to improve weather forecasting and find new solutions.

Driver:

Growing government support drives renewable energy's rapid growth and competitiveness: In the past 10 years, green energy has become more important as governments around the world have started to realise that burning fossil fuels quickly changes the Earth's atmosphere, which leads to climate change. Governments help the growth of green energy through subsidies, tax breaks, and other programmes. This helps cut down on the amount of carbon dioxide that gets put into the air. Most green energy projects are built near where the energy is used. Because of this, most developing countries are better able to take care of themselves. This gives the government a reason to protect the environment, lower petrol costs, and become less reliant on fuel supplies. Green energy will be used a lot more in the next ten years as technology gets better and cheaper.

Accurate weather forecasting drives market growth for renewable energy generation: Wind and sun power, two types of natural energy, are affected by the weather. The business that makes the weather forecasting system is the most important part of making a plan. Renewable energy generators can't make the right plans without clear weather reports. Generators use models, past data, machine learning, and weather forecasts to figure out how much power will be needed and how much will be made the next day. During the time frame of the forecast, the market for weather forecasting systems will be driven by the need for accurate weather predictions to help improve the production of green energy.

More weather tracking to help deal with disasters: Monitoring services tell us how the weather is always changing. This is important for emergency management. Many people can die and a lot of damage can be done by things like floods, wildfires, storms, avalanches, and tsunamis. But weather predictions and early warnings can cut the number of lives and damage by a lot. Keeping track of the weather all the time makes it easy for government, military, and civilian leaders to make plans. It also helps prevent natural tragedies and makes it easier for businesses to plan.

Restraint:

Weather forecast models analyse various variables for accurate predictions: Because the weather is always changing, forecast models must look at how the sky and seas are right now to figure out what the weather will be like in the future. When trying to guess the weather, people look at the humidity, temperature, air pressure, speed, direction, and number of clouds. Weather prediction tools also take into account how the city is built, how far it is from water sources, its latitude, and how high it is. You can make accurate weather predictions if you know a lot about how the starting conditions of a numerical weather forecast model work. But there are many things that can change the weather and make it sensitive.

Nonlinearity and data complexity pose challenges to accurate weather forecasting: There's no one way to predict the weather, so it's harder to guess. A lot of data needs to be put together and studied in the right way, which makes the process harder. Over long periods of time, it's easier to figure out how the weather will change, but there's no good way to figure out the weather in a short amount of time. This is likely to slow the growth of the market because there are many things to think about when predicting the weather.

The changing nature of weather variables: Most of the things that happen in the atmosphere that are taken into account when making weather predictions are not straight and depend a lot on the weather at the start in each place. You can expect different things to happen even if you know a lot about how a numerical weather forecast model was made. But the weather is always changing because there are always new things happening in the air.

Opportunity:

Improving the computers that supercomputers use to predict the weather: Sites that predict the weather use a lot of energy and have complicated systems. "Big data" includes measurements of the environment, which have grown at an exponential rate over the past few years. So, weather forecasting centres are expected to come up with a combined solution that not only meets the computer needs of weather experts but also lets them move and handle data and take responsibility for the total cost of these processes. It is thought that by making supercomputers more powerful, high-resolution weather forecasts and models of the world's climate will be able to run better and more accurately. This will make it easier to make more accurate weather predictions. Weather experts can also figure out how the weather changes over time with the help of studies and clever software models. Meteorologists use tools that are based on data to make forecasts and learn more about the weather. Together, supercomputers and methods based on simulations are used to make sure that weather forecasts are very accurate. So, the market for weather prediction tools is sure to grow as supercomputers get faster and better at doing calculations.

Using big data tools to make weather predictions: There are a lot of things to think about when trying to guess the weather, such as satellite pictures, information from the ground, reports of rain, and information from other forecasters. The connections between these things are also not simple. But now that it's easier to collect and examine weather data, weather experts can predict when and how strong hurricanes, floods, snowstorms, and other weather events will happen. Scientists who study current and past weather data use big data analytics and prediction analytics to try to guess what the weather will be like in the future. This opens up chances for this place.

Challenges:

Frequent false weather alarms: False alerts or a high False Alarm Ratio (FAR) could slow the growth of the weather forecasting services market. When a warning about a natural disaster is meant to give people time to take the necessary measures before it happens, this is called a "false alarm." But it's clear that 3 of the 4 alarms are wrong. When something dangerous is coming, like a storm, a weather warning is sent so that the right steps can be taken.

The occurrence of misleading weather warnings: A misleading weather warning is when a weather service or agency gives an estimate or warning that turns out to be wrong or incorrect. Because of this, people don't get the right information about weather risks. This can happen for a number of reasons, such as the fact that weather prediction models aren't always right, there are limits to how much data can be collected and analysed, or mistakes are made in how forecast information is understood and shared.

Major Market Segment Covered:

The Weather forecasting system market research report is categorized based on type, applications and region.

By Solution

• Hardware
• Barometers
• Anemometers
• Hygrometers
• Rain Gauges
• Thermometers
• Communication & Data Loggers
• Sounding Systems & Radiosondes
• Others
• Software
• Data Collection & Processing Software
• Weather Monitoring & Display Software
• Supercomputing
• Big Data Analytics
• Others

Hardware and software are the two types of parts. The software sector is likely to lead the weather forecasting systems market as a whole. This is because software that collects and processes data and makes accurate weather predictions is becoming more common all over the world.

By Application

• Weather Satellites
• Weather Observing Systems
• Weather Stations
• Weather Drones
• Weather Balloons
• Weather LiDAR
• Weather Radar
• Others

Weather satellites, weather observing systems, weather stations, weather drones, weather rockets, weather LiDAR, and other things are all on the market. Due to the growing demand for earth monitoring and the fact that weather monitoring systems are becoming more and more important for measuring, keeping an eye on, and giving important information about a wide range of climate factors, it is expected that weather satellites will have the biggest share of the global market for weather forecasting systems.

By Vertical

• Agriculture
• Aviation
• Renewable Energy
• Marine
• Oil & Gas
• Transport & Logistics
• Military
• Meteorology
• Weather Service Providers
• Others

By vertical, the market is divided into farming, aviation, green energy, marine, oil & gas, the military, transport & logistics, meteorology, weather service providers, and others. The transport and logistics sector are likely to make up the biggest part of the market for weather forecasting systems. This is because of growing industry and the need for real-time delivery of shipments, both of which are important for the growth of the global weather forecasting systems market.

By Forecast Type

• Nowcast
• Short-range
• Medium range
• Extended range
• Long range

Based on the type of estimate, the market is broken up into short-term, medium-term, long-term, and extended-term. The short-range range group is projected to have the biggest market share for weather forecasting systems around the world. This is because short-term weather forecasting systems are used a lot in many different areas, like crisis management, hydrology, aviation, agriculture, and others. Today, short-term weather forecasts try to tell people what the weather will be like for the next two or three days in places that cover a few million square kilometres.

Regional Insights:

The world market for weather forecasting tools is split into North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa (MEA).

During the predicted time period, the Asia-Pacific area is likely to get a lot of the market. Because marine weather forecasts are getting better, this market is growing. This is because people who work on ships from China and India have to check the weather to make sure the ships are safe. In May 2020, a deal for the solar weather tracking system was signed by Adani Power and BKC Weathersby's Pvt. Ltd. Adani Power is getting a solar weather tracking device from BKC Weathersby's Pvt. Ltd.

Europe is also seeing fast growth in the market. This is because businesses in the U.K. and Germany that count on the weather need more accurate weather forecasts for longer periods of time. A lot of growth happens in the rest of the world during the time that the estimate covers. This growth is happening because South America, the Middle East, and Africa are getting more tools and solutions for tracking the weather.

Scope of Report:

Key Players:

• The Weather Company

• AccuWeather Inc.

• DTN

• Vaisala Oyj

• StormGeo

• Sutron Corporation

• Campbell Scientific

• Airmar Technology Corporation

1. AccuWeather Inc: AccuWeather is known and documented as the most reliable source for weather predictions and warnings in the world. Its main office is in State College, Pennsylvania, but it also has offices in other places around the world. It has saved tens of thousands of lives, kept hundreds of thousands of people from getting hurt, and prevented property damage worth tens of billions of dollars. More than 1.5 billion people use its digital media, such as its free mobile apps, mobile web, and website, as well as radio, TV, newspapers, the national 24/7 channel, and the AccuWeather Network channel, every day to plan their lives and get more out of their days.

2. DTN: Both Minneapolis, Minnesota, and Utrecht, Netherlands, are home to DTN offices. DTN is a global company that uses data, analytics, and technology to do business. Its own solutions and skills give organisations around the world with complicated supply chains reliable operational intelligence. Access to DTN's cloud-based, one-of-a-kind data, applications, and insights helps businesses grow and improves service delivery and the movement of things for many important parts of the global economy.

3. Vaisala Oy: Since more than 85 years ago, Vaisala has been making predictions. They are the best in the world at measuring weather, environment, and industry, and our tools are used in places like hospitals, national parks, data centres, airports, and wind farms all over the world. Even the Mars Rovers Curiosity and Perseverance have our equipment.

4. StormGeo: StormGeo is one of the best places to get information about data science and weather. Their global planning desks and R&D team provide advanced solutions for customers all over the world. The main businesses that the company works with are Oil & Gas, Shipping, Renewable Energy, Cross Industry, Aviation, and Media. It is happy to have some of the smartest people in the business making and offering cutting-edge services and solutions. They give their partners and customers an edge in the market by constantly improving their understanding of the market, their goods, and their ability to predict quality.

5. Sutron Corporation: OTT HydroMet helps customers get results by giving people who make decisions important information they can trust. Their technical expertise and solutions seamlessly integrate hardware, software, and services across a wide range of environmental monitoring applications, such as meteorology and climatology, renewable energy, road and runway weather, surface water quantity, flood warning, groundwater, water quality, and data management. Aquarius, Kipp & Zonen, Lufft, SUTRON, OTT, ADCON, Hydrolab, and Meteostar are the eight well-known global names that make up OTT HydroMet.

Strategic Development:

• In February 2020: General Dynamics Information Technology (GDIT), the National Oceanic and Atmospheric Administration (NOAA), and the National Weather Service (NWS) signed a deal to offer supercomputing tools as a service through NOAA's Weather and Climate Operational Supercomputing System. The systems were made and run by GDIT, and most of the time they were used to model weather and climate trends in great detail.

• In November 2021: Aerated, which sets the world standard for indoor air quality (IAQ), told Tomorrow.io that they would work together for the next three years. Tomorrow.io will give Airdate real-time, hyperlocal weather information that will be used in IAQ models. Aerated will combine the data from Tomorrow.io with its own data on indoor air quality to help buildings work better by learning more about the air outside.

Market Segmentation:

By Solution

• Hardware
• Barometers
• Anemometers
• Hygrometers
• Rain Gauges
• Thermometers
• Communication & Data Loggers
• Sounding Systems & Radiosondes
• Others
• Software
• Data Collection & Processing Software
• Weather Monitoring & Display Software
• Supercomputing
• Big Data Analytics
• Others

By Application

• Weather Satellites
• Weather Observing Systems
• Weather Stations
• Weather Drones
• Weather Balloons
• Weather LiDAR
• Weather Radar
• Others

By Vertical

• Agriculture
• Aviation
• Renewable Energy
• Marine
• Oil & Gas
• Transport & Logistics
• Military
• Meteorology
• Weather Service Providers
• Others

By Forecast Type

• Nowcast
• Short-range
• Medium range
• Extended range
• Long range

Weather forecasting system Regional Insights:

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • France
  • Italy
  • Spain
  • UK
  • Nordic Countries
    • Denmark
    • Finland
    • Iceland
    • Sweden
    • Norway
  • Benelux Union
    • Belgium
    • The Netherlands
    • Luxembourg
  • Rest of Europe
• Asia-Pacific
  • Japan
  • China
  • India
  • Australia
  • South Korea
  • Southeast Asia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Rest of Southeast Asia
  • Rest of Asia-Pacific
• The Middle East & Africa
  • Saudi Arabia
  • UAE
  • Egypt
  • South Africa
  • Rest of the Middle East & Africa
• Latin America
  • Brazil
  • Argentina
  • Rest of Latin America

Conclusion:

The world market for weather forecasting systems is growing fast because more and more people want correct and reliable weather predictions. Market growth is being driven by new technologies like high-resolution prediction models and methods based on modelling. The market could also grow as computer power increases and more data-driven models are used. But there are problems that need to be fixed, such as how hard it is to predict the weather and how sometimes weather reports are wrong. Overall, the market will grow because more and more businesses, like agriculture, transportation, and emergency management, need accurate information about the weather.