Market Overview

Global Weather Forecasting Services Market size was valued at USD 2.06 Billion in 2024 and is poised to grow from USD 2.22 Billion in 2025 to USD 4.52 Billion by 2034, growing at a CAGR of 8% in the forecast period (2025-2034).

The global market for weather forecasting services has been significantly growing, partially due to the increasing need by various industries for more and more accurate predictions of on-time events. Such services are useful in various industries: agriculture, aviation, energy, transportation, and disaster management among others, where they provide the critical information relating to climatic trends and climatic conditions in the form of forecasts. Other services include long-term climate and short-term forecasts.

Demand for improvement of long-range weather forecast has also increased in this current era as the event severity and intensity increase with global warming. There is curtailed economic loss reduction through the frequent incidence of natural hazardous events such as hurricanes, flooding, and others intense heat waves. This further goes to say that weather forecasting is helpful for planning and resource allocation for agriculture whose crop yields depend much on climatic conditions, or energy whose demand fluctuates with the variations in temperature.

Technological advancement increased the accuracy of weather forecasting. Satellites, radar systems, and supercomputing technologies help to study patterns in real-time and hence do more accurate forecasting. Artificial intelligence combined with machine learning is also being popularized to improve the predictability of weather models with significant historical data sets to provide business-to-business solutions and for the government.

Other factors pushing the market forward are the acceptance of weather forecast services for risk management. In the aviation sector, for instance, there is a need to have accurate information about the weather to ensure safety in flight. Logistics companies have also embraced forecasting to ensure safe delivery schedules. The energy sector uses weather forecasting to predict supply and demand conditions, especially concerning renewable sources like wind and solar power, as they are purely dependent on the weather.

This factor also enhances the growth in this market with an increase in government investments and initiatives toward enhancing national weather forecasting capabilities. In recent times, governments have come to realize that weather data may become a great factor in enhancing public safety as well as economic safety. This led to a number of countries developing national meteorological programs that would further advance their weather forecasting infrastructure through enhancements in weather stations, satellites, and data-sharing systems.

Market Drivers

Increasing Demand for Accurate Weather Data

• The rise in demands for accurate weather data is the first main driver to fuel growth in the Global Weather Forecasting Services Market. An increasing demand from various industries and governments, not to mention an individual's demands, has generated a need to increase the quality of technology employed in weather forecasting. Accurate weather data serves to optimize operational processes in numerous sectors, avoid risks, and make better overall decisions.
  It is essential investment for the agricultural sectors and other agrarian economies, whose related productivity has to maximize the yield while minimizing agricultural losses from extreme weather conditions, including droughts, storms, and flooding. The planting and harvesting of crops, meant for food production, heavily depend on favorable periods for both activities. It will also contribute to tailor-made weather analysis that would benefit the agricultural industries in minimizing these possible interruptions to prepare for advance planning.
  Proper weather forecasting in the aviation industry ensures safety and efficiency. It mainly relies on its precise forecasts to allow the flight team, either the pilot or the airline operator, to make quick decisions about routes, altitudes, and even potential time delays because of unfavourable weather - thunderstorms, fog, and/or ice. However, with galloping air traffic all over the world, precision has become the demand of the day to avoid delay and ensure safety while taking less fuel consumption. This growing demand for weather data in aviation is prompting increased investments in weather forecasting services.
  Accurate weather data also has significant implications for the energy sector, where the need is high. The energy sector includes renewable sources such as wind and solar power. Energy generation is directly affected by weather conditions. For instance, wind speeds influence the amount of wind energy that can be generated, and solar power depends on cloud cover and sunlight. Weather data allows energy companies to optimize grid operations, anticipate energy demand, and reduce wastage, thereby maximizing efficiency.

Key Findings:

• In May 2023, It was established that The Weather Company, the most promising subsidiary of IBM, was the world's most accurate weather forecaster. Finally, IBM makes use of the newest technologies like machine learning and artificial intelligence to boost its accuracy.
• In April 2024, Spire Global agreed to a multi-million-dollar contract to supply its High-Resolution Weather Forecast model to an undisclosed financial company. This collaboration looks to provide weather forecasts with an extension of up to six days and resolutions of one kilometre, ensuring high accuracy and customized weather predictions, thus increasing the precision and dependability of meteorological data in financial applications.
• Vaisala launched the Beam Weather Station in October 2023. This is a small and flexible monitoring system designed for urban areas, highway authorities, and industrial regions. This station provides detailed measurements and information to protect people and property from environmental, weather, and traffic risks.

Key Points to Know:

• Increasing demand in the market is mainly due to accurate weather data.
• The correct weather information is essential for an improved optimization, risk mitigation, and decision support.
• Agriculture-dependent economies are investing a lot in weather forecasting to increase crop yields and minimize losses resulting from extreme weather conditions.

Growing Impact of Climate Change on Weather Patterns

• This rapidly changing nature of weather due to climate change drives the expansion process of the global weather forecasting service market. Various sectors now crave the requirement of real-time or precise weather prediction in view of increasing erratic fluctuations in the trend of weather under rising global temperature. Rising issues due to changing weather include excessive occurrences and rising intensities of extreme events: hurricanes, floods, drought, wildfires, among others. These events cause huge disruptions in economies, infrastructure, and ecosystems, creating a pressing need for reliable weather data to predict and mitigate these impacts.
• One of the most direct implications of climate change is its effects in terms of raising the rate of extreme weather events that happen in a particular region. This has made these governments, businesses, and organizations invest more in weather forecasting technologies. Such direct implications include the more frequent occurrence of tropical storms and stronger hurricanes, particularly towards the coast. More accurate forecasts are crucial for evacuation, disaster preparedness, and minimizing infrastructure damage. Governments and organizations of emergency management count on weather forecasting services to protect those vulnerable, protect public health, and prevent impacts.
• Impacts of agricultural practices have resulted in impairment of the cropping system in relation to affecting various crop yields, as climatic variability changes from erratic rainfall, drought, and sudden changes of temperature. The weather information assists farmers to make correct decisions about planting, irrigation, and harvesting crops. Severe frost or too much rain in extreme weather patterns related to global warming can lead to severe crop failures, and access to such accurate forecasts will enable farmers to adjust and reduce potential losses. As climate change continues to shift the conventional growing seasons, the need for advanced weather forecasting services that meet specific agricultural requirements has increased.

Key Points to Know:

• Climate change, with its aggravating effects, brings about intense, frequent and repeated extreme climatic events to affect economies and their infrastructure with increased severity.
• Governments, firms, and organizations have been investing in weather forecasting systems to anticipate these occurrences and issue timely warnings.

Market Opportunities

Expansion of Artificial Intelligence and Machine Learning in Forecasting

• The growth prospects of the Global Weather Forecasting Services Market have been established on the basis of recent expansion of AI and ML-based forecasting. Through AI and ML, the mode of analysis of weather data, as far as its processing and predictability are concerned, is dramatically changing, thus leaving open possibilities for more accurate and faster weather predictions with greater reliability. These new technologies are now in use in models of weather forecasting to predict weather even more correctly and efficiently on the part of meteorologists.
• AI and ML algorithms process historical as well as real-time weather data at speeds much higher than other methods with much more accuracy. Thus, they are capable of giving highly detailed and localized forecasts along with the capability of recognizing complex patterns and relationships within the data. For example, using AI systems to process satellite imagery, sensor data, and inputs from weather stations in order to make real-time predictions about local weather conditions, business, governments, and people will be able to make more informed decisions. Hyper-locality and short-term forecasting capability give it the potential benefit for various industries such as agriculture, aviation, and logistics since these are precise and most important in weather data optimization operations.
• AI and ML enhance the capability for more accurate forecasts of extreme weather events like hurricanes, tornadoes, and floods. It can identify otherwise unpredictable signatures of early warnings in weather patterns. Thus, it is possible to give earlier and more accurate alerts and better prepare for disasters, which therefore yield lesser damage to human life and infrastructure. There also would be greater demand for AI-driven forecasting systems due to the exacerbation in causing extreme weather events because of climate change, thereby opening the market significantly more than now.

Key Points to Know:

• AI and ML technologies are revolutionizing weather data analysis, processing, and prediction.
• It can analyse vast amounts of historical and real-time weather data far quicker and accurately than traditional methods.
• It would be possible to process satellite imagery, sensor data, and inputs from weather stations to generate real-time predictions regarding local weather conditions.

Market Restraining Factors

Limited Access to Data in Remote or Developing Areas

• Another major limitation for the expansion of the Global Weather Forecasting Services Market is lack of access to data in remote or developing regions. Although meteorological services are available almost everywhere in developed countries, lack of ease and accuracy when accessing weather information is still a vital issue for larger, rural, or less economically developed parts of the world. This is due to poor infrastructure, lack of proper access to technology resources, and the lack of appropriate funding for the meteorological network.
• There is scarcity in many remote or rural areas, and developing countries lack the weather monitoring equipment such as weather stations, satellite imagery, or radar systems to monitor the weather there. Such regions are unable to acquire sufficient financial resources to invest in advanced weather infrastructure or maintain it over a time period. Thus, the collection of weather data may be sparse, and therefore the weather forecasts may be incomplete or inaccurate. Such limitation in access to more reliable information about the weather puts local governments, industries, and communities at a higher risk of disabilities from weather-related disorders and breakdowns.
• Weather forecasting is dependent on large amounts of weather data; sometimes, connectivity is also a challenge as there are areas that are secluded and disconnected in this regard.
• Such weather forecasting systems demand steady flows of information from different sources - such as space-based satellite systems and ground-based weather stations. Inadequate internet facilities hinder the free flow of such data in rural or less-developed areas, leading to delayed and inadequately filled-in forecasts. There is difficulty in predicting extreme cases such as storms, droughts, or floods that may have havoc on the economy and society at large if such data is not received in time.

Key Points to Know:

• Weather data is also limited in some remote or developing areas.
• Insufficient infrastructure, no technological resources, and a deficiency in meteorological networks.
• Inadequate availability of necessary weather monitoring equipment that leads to incomplete or inaccurate weather forecasts.

Segmentation Analysis

The market scope is segmented because of By Service Type, By Industry Vertical, By Forecasting Method.

• By Service Type

Based on the Service Type of the market is segmented into Weather Forecasting Services, Weather Data Utilization Services

Fundamental to the provision of a basis for weather prediction is the services rendered by the company for any regions and sectors through its forecasts. This primarily involves the provision of time-conscious, scientifically accurate predictions based on data drawn from models of meteorological movements and live observations. This set of core services typically includes up-to-date three-hourly updates on short-range (up to a few days), medium-range (up to a few weeks), and extended-range (seasonal or annual) forecasts covering temperature, precipitation, wind, humidity, air pressure, cloudiness, or other weather features. Weather data utilization services draw on the extracted weather data while making various different types of optimal operational and strategic decisions. It relies on weather forecasts and real-time data to help industries and businesses make data-driven decisions. It comprises the analysis, interpretation, and application of weather data for specific needs in agriculture, transportation, energy, construction, and insurance.

• By Industry Vertical

Based on the Industry Vertical of the market is segmented into Agriculture, Aviation & Aerospace, Energy & Utilities, BFSI, Transportation & Logistics, Others.

Agriculture is one of the main industries that are heavy users of such weather forecasting services. Weather has a direct impact on crop cultivation, planting dates, irrigation, and pest management. Accurate forecasts will enable the farmer to take the right decisions regarding sowing or harvesting, availability of water resources, and methods to counter adverse effects of extreme weather, such as frosts, droughts, or heavy rainfalls. This allows power grid operators and energy producers to better manage supply and demand, prevent outages, and prepare ahead of time for disruptions based on the effects of specific weather. In times of extreme heat, energy consumption will increase while the specifics of weather can have a significant impact on solar and wind energy production. Long-term correct predictions will ensure utilities prepare seasonally for trends in energy needs. Weather prediction information is used to manage risk in the banking, financial services and insurance (BFSI) sector, mainly when ensuring assets that will become vulnerable to damage from extreme-weather events that may include a flood, a hurricane, or a fire. They are used by insurance companies in setting policies and premium charges to benefit from weather-related conditions and to have claims made through weather damage.

• Regional Snapshots

By region, Insights into the markets the region is North America that includes the United States and Canada. North America is considered the most crucial in the world geography for the global weather forecasting services market. Strong infrastructure, modern technology innovation, and strong, well-established industries in this region have moved ahead to be the prime location in the world of the weather forecasting industry. The U.S. and Canada have invested considerably in meteorological technologies and services. This way, businesses, governments, and the public will get real-time access to weather information to mitigate severe weather-related losses and optimize activities in diverse industries. APAC is the most dynamic and fastest-growing region of the global weather forecasting services market. This region encounters various climatic conditions, including tropical monsoons to dry deserts, and extreme cold spells in northern areas. These factors necessitate the use of weather forecasting by several sectors, including transportation. Other natural catastrophes encountered by this Asia Pacific region are typhoons in Southeast Asia and extreme cold spells in the northern countries. Weather service demand in the APAC region is increasing rapidly, primarily driven by the enhanced requirement for advanced predictive weather for agricultural, energy, transportation, and disaster management applications. Meteorological services with high-end functionalities are also indispensable in South America to maintain the stability of economies and mitigate associated risks, which is characterized by large weather patterns such as hurricanes, heavy rainfall, droughts, and temperature fluctuations. Investment in satellite-based forecasting, AI-driven predictive models, and IoT-enabled weather monitoring systems boost the growth of the market in various countries. The geographical diversity and climatic conditions of the MEA region range from the driest arid deserts of the Middle East to the temperate climatic conditions of parts of Southern Africa. The MEA region is susceptible to a range of weather-related challenges, such as extreme heat, droughts, sandstorms, floods, and other weather conditions that have a significant impact on agriculture, energy, infrastructure, and disaster management.

List of Companies Profiled

• IBM
• AccuWeather, Inc.
• Vaisala oyj
• StormGeo
• Weathernews
• Skymet Weather Services
• io
• Spire Global, Inc.
• Pelmorex Corporation
• DTN

Key Industry Developments

• Spire Global announced its launch of the Deep Navigation Analytics (DNA) Platform in May 2023. This all-in-one, space-based platform provides vital data to maritime organizations by utilizing three levels of APIs on maritime weather information, action-oriented information, decision-support tools, and visualizations. The DNA utilizes a proprietary algorithm on weather forecasts through RO data collected by the firm's network of operational satellites. This ensures that the customers receive the newest and most accurate data given to them, as it uses data from RO about 15 days of global weather forecasting.
• AccuWeather, Inc. has introduced a new advanced hardware and software display system, WeatherShow Enhancer, since April 2023. The technology introduces far more special effects into weather presentations than previous technologies and thus allows for more enhanced meteorological story as well as for an enhanced general look and feel of the system itself. The idea of the WeatherShow Enhancer is to save on production and to make current weather systems look and feel more alive and entertaining.

Report Coverage

The report will cover the qualitative and quantitative data on the Global Weather Forecasting Services Market. The qualitative data includes latest trends, market players analysis, market drivers, market opportunity, and many others. Also, the report quantitative data includes market size for every region, country, and segments according to your requirements. We can also provide customize report in every industry vertical.

Report Scope and Segmentations

Global Weather Forecasting Services Market Regional Analysis

North America accounted for the highest Weather Forecasting Services Market% market share in terms of revenue in the Weather Forecasting Services Market and is expected to expand at a CAGR of Weather Forecasting Services Market% during the forecast period. This growth can be attributed to the growing adoption of Weather Forecasting Services Market. The market in APAC is expected to witness significant growth and is expected to register a CAGR of Weather Forecasting Services Market% over upcoming years, because of the presence of key Weather Forecasting Services Market companies in economies such as Japan and China.

The objective of the report is to present comprehensive analysis of Global Weather Forecasting Services Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language.

Weather Forecasting Services Market Report is also available for below Regions and Country Please Ask for that

North America

• U.S.
• Canada

Europe

• Switzerland
• Belgium
• Germany
• France
• U.K.
• Italy
• Spain
• Sweden
• Netherland
• Turkey
• Rest of Europe

Asia-Pacific

• India
• Australia
• Philippines
• Singapore
• South Korea
• Japan
• China
• Malaysia
• Thailand
• Indonesia
• Rest Of APAC

Latin America

• Mexico
• Argentina
• Peru
• Colombia
• Brazil
• Rest of South America

Middle East and Africa

• Saudi Arabia
• UAE
• Egypt
• South Africa
• Rest Of MEA

Points Covered in the Report

• The points that are discussed within the report are the major market players that are involved in the market such as market players, raw material suppliers, equipment suppliers, end users, traders, distributors and etc.
• The complete profile of the companies is mentioned. And the capacity, production, price, revenue, cost, gross, gross margin, sales volume, sales revenue, consumption, growth rate, import, export, supply, future strategies, and the technological developments that they are making are also included within the report. This report analysed 5 years data history and forecast.
• The growth factors of the market are discussed in detail wherein the different end users of the market are explained in detail.
• Data and information by market player, by region, by type, by application and etc., and custom research can be added according to specific requirements.
• The report contains the SWOT analysis of the market. Finally, the report contains the conclusion part where the opinions of the industrial experts are included.

Key Questions

• How much the global Weather Forecasting Services Market valued?
• Which region has the largest share in 2025 for the global Weather Forecasting Services Market ?
• What are the driving factors for the market?
• Which is the leading segment in the global market?
• What are the major players in the market?

Research Scope of Weather Forecasting Services Market

• Historic year: 2020-2023
• Base year: 2024
• Forecast: 2025 to 2034
• Representation of Market revenue in USD Million

Weather Forecasting Services Market Trends: Market key trends which include Increased Competition and Continuous Innovations Trends: