Advisory and Financial Services · European Union · NACE Rev. 2 M7112

Weather Forecasting Services in European Union 2026: Industry Statistics & Trends

The weather forecasting services industry in the European Union comprises public national meteorological services and private commercial providers that process meteorological data to deliver short-range, medium-range, and long-term weather intelligence. The sector operates as a hybrid model where public institutes provide foundational raw observation data and base numerical predictions, while private vendors offer specialized high-resolution forecasts, operational risk management APIs, and decision-support analytics. Market demand is accelerating due to the rapid growth of renewable energy grid management, aviation routing requirements, and extreme weather risk mitigation under the European

Businesses · 2023
682k
Businesses · Claight est. 2026
740k
Outlook
Growing
Competition
High, rising

Industry snapshot

Demand drivers
Renewable Energy Grid Integration
Climate Adaptation and Risk Mitigati
Aviation and Transport Safety Mandat
AI and Satellite Data Innovations
Relative importance, Claight qualitative assessment.
Market structure
fragmented
moderate
concentrated
Competitive intensity
high, rising
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Key public data points

EUMETSAT Annual Operational Budget (2024)572.6 million EUR
Claight est. 2026619.3 million EUR
Source: EUMETSAT Annual Report 2024

Historical & forecast

Base year 2023. Each series is official through its own latest government-data year (shown in the legend on each chart), and years beyond that are Claight estimates. As of July 2026 the current year is still in progress (2026 annual data is not yet published), so the forecast runs to 2028.

Number of businesses
Base year 2023
Official data (2021-2023) · Eurostat Structural Business StatisticsForecast
Enterprise counts are official Eurostat SBS data; later years are a Claight forecast off the recent trend.
Forecast
2021
2022
2023
2024
2025
2026
2027
2028
2029
2030
2023 base: 682,4232030 est: 823,719
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Industry Definition and Scope

What does the Weather Forecasting Services in European Union industry cover?

The weather forecasting services industry covers the gathering, processing, modeling, and dissemination of atmospheric, oceanographic, and meteorological data. Service offerings span basic short-range consumer forecasts, medium-range numerical prediction models, and specialized micro-climate decision tools for industry verticals. Public entities handle macro-level observations and public safety warnings, whereas commercial enterprises develop tailored data feeds and decision-support software.

  • Encompasses numerical weather prediction (NWP), satellite and radar data assimilation, and climate risk modeling.
  • Delivers output via raw data streams, application programming interfaces (APIs), specialized software platforms, and mobile apps.
  • Primary end-use markets include aviation, maritime transport, agriculture, renewable energy grid management, and insurance underwriting.

Market Structure and Operators

Who operates in the industry and how is it structured?

The European market features a multi-tiered structural framework made up of international bodies, national meteorological and hydrological services (NMHSs), and private commercial operators. Public entities maintain the costly physical sensing infrastructure, high-performance computing facilities, and earth observation satellite networks. Private downstream operators leverage this public open-data infrastructure to build specialized commercial solutions.

  • Supranational entities such as the European Centre for Medium-Range Weather Forecasts (ECMWF) and EUMETSAT manage shared European computing and satellite assets.
  • National public agencies including Météo-France, Deutscher Wetterdienst (DWD), and AEMET maintain regional radar and station networks.
  • Commercial providers range from specialized local meteorological consultancies to international weather technology enterprises.
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Demand Drivers

What drives demand in the industry?

Demand for advanced weather forecasting in the European Union is driven by strict environmental mandates and the rapid integration of variable renewable energy sources. The expansion of wind and solar capacity requires real-time, micro-scale forecast accuracy to optimize power grid balancing and dispatch schedule compliance. Additionally, climate change adaptation strategies and transportation safety regulations compel enterprise adoption of predictive risk tools.

  • Renewable energy expansion requires minute-by-minute solar irradiance and wind vector forecasting for grid stability.
  • Aviation and maritime logistics rely on hyper-local weather intelligence to optimize fuel consumption and comply with EU ETS emissions targets.
  • Escalating frequency of severe weather events drives demand for parametric insurance data and enterprise continuity planning.

Competitive Landscape and Notable Public Companies

Who are the notable companies in the industry?

The commercial landscape consists of private software and data vendors operating alongside public weather offices that commercialize high-value data. Competition focuses on forecasting accuracy, spatial-temporal resolution, latency, and seamless API integration into client enterprise software. Multinational technology firms and dedicated meteorological groups maintain operational footprints across EU member states.

  • Météo-France (French national meteorological service with commercial services division).
  • Deutscher Wetterdienst (DWD) (German federal meteorological authority supplying commercial data services).
  • Spire Global Inc. (Commercial satellite data and weather analytics provider operating within the EU).
  • MeteoGroup / DTN (Major commercial weather services group with extensive operations across EU member states).

Recent Trends and Outlook

What are the recent trends and outlook?

The industry is undergoing a structural shift toward artificial intelligence and machine learning models to supplement or replace traditional physics-based numerical weather prediction. AI models drastically reduce the computational energy and time required to run global medium-range predictions compared to classic supercomputer processing. Open data directives from the EU are further lowering barriers to entry for private developers using public satellite feeds.

  • In February 2025, ECMWF operationalized its Artificial Intelligence Forecasting System (AIFS) to provide data-driven weather predictions alongside standard models.
  • EU Open Data Policy initiatives continue to mandate free access to public high-value datasets, boosting downstream app and API development.
  • Growing adoption of digital twin technology under the European Union's Destination Earth (DestinE) initiative.
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Regulation and Compliance

How is the industry regulated?

Regulatory frameworks are defined by EU open data legislation, aviation safety standards, and public service obligations. Public meteorological bodies operate under national statutory duties to provide early warning services for disaster protection. Commercial operators must comply with European Union aviation and maritime safety regulations when supplying operational route-planning data.

  • Directive (EU) 2019/1024 on open data and the re-use of public sector information classifies geospatial and meteorological data as High-Value Datasets.
  • European Aviation Safety Agency (EASA) regulations require certified meteorological services for air navigation safety.
  • World Meteorological Organization (WMO) Unified Data Policy rules govern global exchange of atmospheric observation data.

Sources

Government, statistical and trade sources used for this Claight analysis.

  • Eurostat Statistical Classification of Economic Activities (NACE Rev. 2) ·
  • European Centre for Medium-Range Weather Forecasts (ECMWF) Annual Reports 2024-2025 ·
  • European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) Annual Report 2024 ·
  • European Commission Copernicus Earth Observation Programme Data 2025

Claight analysis of public industry data.