The global weather forecasting services market size was valued at USD 3.67 billion in 2025 and is projected to grow from USD 3.92 billion in 2026 to USD 6.60 billion by 2034, registering a CAGR of 6.74% during the forecast period from 2026 to 2034. North America dominated the weather forecasting services market with a market share of 38.5% in 2025.
Weather forecasting services provide meteorological data, analysis, and predictive information about atmospheric conditions for specific locations and time periods. These services use weather stations, satellites, radar systems, numerical weather models, and advanced analytics to forecast temperature, rainfall, wind, storms, and other conditions. They support decision-making across agriculture, aviation, transportation, energy, construction, and disaster management by helping organizations prepare for changing weather conditions.
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Growing Adoption of AI-Powered and Hyper-Local Weather Forecasting
The weather forecasting services market is rapidly shifting toward artificial intelligence, machine learning, and high-resolution forecasting models that deliver faster and more localized predictions. AI systems can process large volumes of weather observations and generate forecasts with lower computational requirements, while hyper-local models provide more actionable information for agriculture, transportation, energy, and disaster management. This shift is supporting the weather forecasting services market size as governments and businesses increasingly require precise, location-specific weather intelligence.
In May 2026, India's Ministry of Earth Sciences launched AI-enabled weather forecasting systems providing hyper-local, impact-based forecasts and localized weather information up to 10 days in advance. The initiative also introduced an AI-based monsoon forecasting platform covering 16 states and more than 3,000 sub-districts.
Increasing Collaboration Between Meteorological Agencies and AI Technology Providers
Another important trend is the growing collaboration between national meteorological organizations, technology companies, and research institutions to integrate AI with conventional numerical weather prediction. These collaborations are focused on improving forecast accuracy, increasing resolution, accelerating model execution, and strengthening early-warning capabilities. The combination of AI and physics-based forecasting is supporting weather forecasting services market growth by creating more scalable and reliable forecasting solutions.
In June 2026, ECMWF expanded its Machine Learning Project by adding Latvia, Slovenia, and Morocco to the initiative, bringing additional national meteorological services into the collaborative development of machine-learning weather forecasting. The project focuses on data-driven forecasting, ensemble forecasting, data assimilation, and machine-learning operations.
Growing Need for Accurate and Timely Weather Information
Weather forecasts are increasingly important for agriculture, aviation, energy, transportation, emergency management, construction, and other weather-sensitive activities. Businesses and public agencies rely on timely information to plan operations, manage risks, and respond to severe weather. The increasing availability of high-resolution observations and advanced forecasting models is further improving the usefulness of commercial and public weather services. These developments are strengthening weather forecasting services market demand, particularly for localized, probabilistic, and sector-specific forecasts that help organizations make better operational decisions.
In May 2026, ECMWF upgraded its Integrated Forecasting System and Artificial Intelligence Forecasting System, improving capabilities including localized heavy-rain forecasting and introducing new AI-based wave and snow-cover forecasts.
High Infrastructure and Data Requirements
Weather forecasting services depend on extensive observation networks, satellites, radar systems, high-performance computing, data assimilation, and skilled meteorological expertise. Maintaining these resources requires significant and continuous investment. Forecast providers also need access to large volumes of reliable historical and real-time observations, which can be difficult in regions with limited monitoring infrastructure. These factors remain important in weather forecasting services market analysis, particularly for providers seeking to deliver accurate forecasts across geographically diverse areas. Data quality, computing requirements, and infrastructure availability can influence the cost and reliability of forecasting services.
In July 2026, NOAA reported that its Global EAGLE AI forecasting system had been transitioned to the ECMWF Anemoi framework, highlighting the infrastructure and computing requirements involved in moving AI forecasting models into operational environments.
Rapid Adoption of Artificial Intelligence in Weather Prediction
Artificial intelligence is creating new opportunities for weather forecasting services by enabling faster predictions, efficient processing of large datasets, and more flexible forecasting applications. AI models can complement traditional numerical weather prediction and support applications such as nowcasting, ensemble forecasting, regional forecasting, and specialized weather intelligence. These weather forecasting services market trends are encouraging providers to develop faster and more customized services for energy companies, agriculture, logistics, insurance, and emergency management. AI can also reduce computational requirements for certain forecasting tasks, potentially allowing more frequent and localized forecasts.
In April 2026, ECMWF introduced Anemoi as a European framework for developing, training, and operating large-scale AI models for weather and climate, supporting the movement of AI forecasting from research toward operational use.
Maintaining Forecast Accuracy and Reliability with AI-Based Systems
The rapid adoption of AI forecasting creates the challenge of ensuring that new models remain reliable across different weather conditions, regions, and extreme events. AI systems require high-quality datasets, continuous evaluation, appropriate validation, and strong operational infrastructure. Forecast providers must also balance AI models with established physics-based numerical forecasting systems rather than relying solely on one approach. This remains an important consideration for the weather forecasting services market report, because inaccurate forecasts can have serious consequences for public safety, transportation, agriculture, energy systems, and disaster preparedness.
In June 2026, ECMWF expanded its Machine Learning Project to include additional national meteorological services, focusing on data-driven forecasting, ensemble forecasting, data assimilation, and robust evaluation of machine-learning models for operational weather services.
Short-Range Forecasting Segment Dominated the Market with 47.6% Share in 2025
The short-range forecasting segment dominated the global weather forecasting services market with a 47.6% market share in 2025, valued at USD 1.75 billion. Its leadership is supported by the widespread need for timely weather information for daily operational and safety decisions. Industries such as aviation, transportation, agriculture, energy, construction, and emergency management rely on near-term forecasts to manage weather-related disruptions, optimize schedules, protect assets, and improve operational efficiency.
Medium-range and long-range forecasting services continue to support organizations requiring broader planning horizons. Improvements in weather observation networks, numerical weather prediction, satellite monitoring, and atmospheric modeling are helping enhance the usefulness of forecasts for both operational and strategic planning.
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API & Data-Feed Services Segment is Projected to Register the Fastest Growth at a CAGR of 10.7%
The API & data-feed services segment is projected to register the fastest growth at a CAGR of 10.7% during the forecast period. Businesses are increasingly integrating real-time weather information directly into software platforms, analytics systems, logistics applications, navigation tools, and automated decision-making processes. API-based delivery enables organizations to incorporate changing weather conditions into existing digital workflows without relying solely on standalone forecasting platforms.
Web-based platforms, mobile applications, and consulting and managed weather services continue to serve different user requirements. These platforms provide accessible visualization, alerts, expert interpretation, and customized weather intelligence, helping organizations incorporate meteorological information into everyday operational decisions.
Large Enterprises Segment Dominated the Market with 68.3% Share in 2025
The large enterprises segment dominated the global weather forecasting services market with a 68.3% market share in 2025, valued at USD 2.51 billion. Large organizations frequently manage extensive assets, production facilities, transportation networks, and geographically distributed operations that can be significantly affected by weather conditions. This creates demand for specialized forecasts, monitoring systems, risk analytics, and customized weather intelligence.
SMEs are increasingly adopting weather forecasting services as cloud-based platforms, subscription models, and mobile solutions make advanced weather information more accessible. Scalable digital services allow smaller organizations to use weather data for scheduling, risk management, logistics, and operational planning without requiring extensive internal meteorological capabilities.
Risk Management & Insurance Analytics Segment is Projected to Register the Fastest Growth at a CAGR of 10.1%
The risk management & insurance analytics segment is projected to register the fastest growth at a CAGR of 10.1% during the forecast period. Increasing exposure to severe weather events is encouraging organizations and insurers to use detailed meteorological information for risk assessment, underwriting, portfolio analysis, claims evaluation, and asset protection. Combining weather data with analytics can help businesses better understand potential weather-related financial and operational exposure.
Operational planning, safety and compliance, disaster preparedness, emergency response, and business impact forecasting remain important applications. Organizations are increasingly using weather intelligence to improve preparedness, reduce disruptions, protect personnel and infrastructure, and make more informed operational decisions.
Aviation & Aerospace Segment Dominated the Market with 17.8% Share in 2025
The aviation & aerospace segment dominated the global weather forecasting services market with a 17.8% market share in 2025, valued at USD 0.65 billion. Weather information is essential for flight planning, airport operations, route management, turbulence monitoring, and takeoff and landing decisions. Airlines, airports, pilots, and aviation operators rely on accurate and timely meteorological information to improve safety and manage weather-related operational disruptions.
Energy and utilities, transportation and logistics, agriculture, marine and shipping, construction, government, manufacturing, BFSI, and media industries also use weather information for specialized operational requirements. Increasing availability of high-resolution forecasts, real-time observations, and industry-specific weather analytics is expanding the role of meteorological intelligence across these sectors.
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North America's weather forecasting services market accounted for 38.5% of the global market, reaching USD 1.41 billion in 2025, and is projected to grow at a CAGR of 10.4% during the forecast period. The region's leading position is supported by increasing demand for accurate and real-time weather information, growing adoption of advanced forecasting technologies, rising climate-related risks, and expanding use of weather intelligence across agriculture, aviation, transportation, energy, and disaster management.
The United States represents a major market in North America. Increasing demand for high-accuracy weather forecasting, growing use of weather data across industries, and rising requirements for climate monitoring and disaster risk management continue to support market development.
Canada's diverse climatic conditions, growing need for weather intelligence across agriculture and transportation, and increasing focus on climate monitoring and severe-weather preparedness continue to support market growth.
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Europe's weather forecasting services market accounted for 26.7% of the global market, reaching USD 0.98 billion in 2025, and is expected to register a CAGR of 8.6% during the forecast period. Increasing climate variability, rising demand for environmental monitoring, growing adoption of digital weather services, and the need for accurate forecasts across energy, agriculture, transportation, and emergency management continue to support regional growth.
Germany represents a major European market. Increasing demand for weather and climate intelligence, growing renewable energy deployment, and the need for accurate forecasts across agriculture, transportation, and industrial operations continue to support market expansion.
The United Kingdom's focus on climate monitoring, renewable energy integration, aviation safety, and severe-weather preparedness continues to drive demand for advanced forecasting services.
The Asia Pacific weather forecasting services market accounted for 22.4% of the global market, reaching USD 0.82 billion in 2025, and is projected to grow at a CAGR of 9.8% during the forecast period. Increasing exposure to extreme weather events, rapid economic development, growing agricultural requirements, expanding renewable energy capacity, and rising adoption of digital weather intelligence continue to drive regional market growth.
China represents a major market within Asia Pacific. Large-scale agricultural activities, increasing climate monitoring requirements, expanding renewable energy deployment, and growing demand for severe-weather forecasting continue to support market development.
India's large agricultural sector, exposure to monsoons and extreme weather events, expanding renewable energy capacity, and increasing adoption of digital forecasting solutions continue to strengthen demand for weather forecasting services.
Japan's exposure to typhoons and other severe weather events, along with its advanced technology infrastructure, continues to drive demand for accurate weather forecasting and disaster preparedness services.
Latin America's weather forecasting services market accounted for 6.8% of the global market, reaching USD 0.25 billion in 2025, and is expected to grow at a CAGR of 7.9% during the forecast period. Increasing agricultural dependence on weather conditions, growing climate risks, expansion of renewable energy projects, and rising demand for accurate forecasting across transportation and disaster management continue to support regional market development.
Brazil represents a major regional market. Large-scale agricultural operations, increasing renewable energy deployment, and growing requirements for climate and weather intelligence continue to create opportunities for forecasting service providers.
The Middle East & Africa weather forecasting services market accounted for 5.6% of the global market, reaching USD 0.21 billion in 2025, and is anticipated to grow at a CAGR of 7.4% during the forecast period. Rising temperatures, water scarcity, extreme weather risks, expanding renewable energy projects, and increasing demand for climate monitoring continue to support regional market development.
The UAE's focus on climate resilience, renewable energy, aviation, infrastructure development, and extreme-weather monitoring continues to support demand for advanced weather forecasting services.
Saudi Arabia's expanding infrastructure, renewable energy investments, climate adaptation initiatives, and need for weather intelligence across transportation and industrial activities continue to strengthen the market for forecasting services.
The global weather forecasting services market is highly competitive, with leading meteorological service providers, weather intelligence companies, satellite-data companies, and forecasting technology firms competing through real-time forecasting, hyperlocal weather intelligence, severe-weather monitoring, predictive analytics, and industry-specific weather solutions. The major players in the market include The Weather Company, Weathernews Inc., AccuWeather, DTN, Tomorrow.io, Meteomatics, StormGeo, Spire Global, Vaisala, Met Office, Météo-France, Deutscher Wetterdienst, Skymet Weather, UBIMET, Precision Weather Services, and others.
Industry participants are focusing on developing high-resolution forecasting models, AI-powered weather prediction, satellite-based observations, real-time monitoring, and hyperlocal forecasting capabilities. Companies are investing in artificial intelligence, machine learning, numerical weather prediction, satellite and radar data, IoT-enabled weather sensors, and cloud-based analytics to improve forecast accuracy and provide actionable insights. Increasing demand from aviation, agriculture, energy, logistics, maritime, insurance, construction, and disaster management is also encouraging providers to develop specialized forecasting services and integrate weather intelligence into operational decision-making.
Tomorrow.io is a weather intelligence and technology company providing hyperlocal forecasts, real-time weather data, satellite observations, and AI-powered decision-support solutions for weather-sensitive industries. Its platform combines proprietary forecasting models, public and private weather observations, machine learning, and satellite data to deliver highly localized weather intelligence.
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Author's Details
Senior Research Analyst
Sumanta Mahato is a market intelligence and strategy professional with over 4+ years of experience advising organizations across industrial automation, machinery, aerospace and defense, and adjacent industrial technology sectors. He specializes in delivering data-driven market intelligence, strategic assessments, competitive benchmarking, demand forecasting, commercial due diligence, and growth strategy to support informed business and investment decisions.
His expertise encompasses industrial automation systems, manufacturing and process machinery, industrial equipment, aerospace technologies, defense systems, electrical and electromechanical infrastructure, and advanced industrial technologies. He brings strong domain knowledge in assessing market ecosystems, technology landscapes, supply-demand dynamics, regulatory and policy environments, pricing structures, value chains, competitive positioning, and emerging industry trends across global and regional markets.
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