Climate Data Analysis Market Report 2026

The climate data analysis market size has grown exponentially in recent years. It will grow from $1.56 billion in 2025 to $2.03 billion in 2026 at a compound annual growth rate (CAGR) of 29.7%. The growth in the historic period can be attributed to growing awareness of climate variability, early adoption of meteorological research tools, rising government investment in environmental monitoring, increasing need for weather-based planning, expansion of climate observation networks.

The climate data analysis market size is expected to see exponential growth in the next few years. It will grow to $5.79 billion in 2030 at a compound annual growth rate (CAGR) of 30%. The growth in the forecast period can be attributed to rising demand for climate risk intelligence, increasing integration of climate data in policy planning, growing dependence on accurate climate forecasting, expanding renewable energy investments, strengthening regulatory focus on climate resilience. Major trends in the forecast period include growing application of climate analytics in financial risk assessment, increasing reliance on long-term climate projection datasets, rising adoption of climate intelligence in infrastructure planning, expanding use of climate insights in renewable energy development, strengthening role of climate modeling in disaster preparedness.

The adoption of artificial intelligence (AI) and machine learning (ML) in weather forecasting is expected to propel the growth of the climate data analysis market going forward. Artificial intelligence uses information technology and large datasets to solve complex problems, while machine learning, a subset of AI, applies algorithms that enable systems to learn from data and continuously improve accuracy over time. The integration of AI and ML into weather forecasting and climate data analysis enhances the precision, speed, and usefulness of climate insights, supporting industries in better decision-making and strengthening responses to climate-related challenges. For instance, in September 2025, according to Netguru S.A., a Poland-based software development company, IT and telecommunications firms achieved an AI adoption rate of 38% in 2025. Therefore, the increasing use of artificial intelligence and machine learning in weather forecasting is driving the growth of the climate data analysis market.

Major companies operating in the climate data analysis market are focusing on developing innovative solutions, such as advanced geospatial analytics platforms, to help organizations evaluate, manage, and mitigate physical and transition climate risks. Advanced geospatial analytics involves the use of high-resolution geographic data, satellite imagery, and analytical models to map, assess, and predict climate-related patterns and risks across specific locations. For instance, in August 2025, Intercontinental Exchange Inc., a US-based data and technology company, launched expanded climate-risk data and analytics services covering more than five million private companies globally. The platform integrates physical and transition risk indicators, combining ICE’s geospatial climate-risk models with Dun & Bradstreet’s private-company database to deliver standardized and comparable insights. This enables investors, asset managers, and corporations to incorporate climate risk considerations into portfolio management, supply-chain planning, and sustainability reporting more effectively.

In April 2025, Earth Finance Inc., a US-based sustainability strategy and financing firm, acquired Climate Engine for an undisclosed amount. Through this acquisition, Earth Finance integrated Climate Engine’s SpatiaFi platform into its advisory and financing services. The platform leverages satellite, weather, and environmental datasets to assess climate risk, physical hazard exposure, and environmental impact, strengthening Earth Finance’s capabilities in climate data analysis and risk assessment. Climate Engine Inc. is a US-based company specializing in advanced climate data analysis solutions.

Major companies operating in the climate data analysis market report are IBM Corporation, Schneider Electric SE, Verisk Analytics Inc, MSCI Inc, Risk Management Solutions Inc., Environmental Systems Research Institute Inc., Vaisala Corporation, Meteo-France, National Oceanic and Atmospheric Administration, AccuWeather Inc., StormGeo, The Climate Corporation, Earth Networks Inc., Climatempo, Planalytics Inc., Meteomatics AG, Climate X Ltd., Climate Analytics GmbH., Jupiter Intelligence Inc., Weather Source LLC, Sensible Weather, Climatiq Technologies GmbH.

North America was the largest region in the climate data analysis market in 2025. The regions covered in the climate data analysis market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the climate data analysis market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The climate data analysis market consists of revenues earned by entities by providing climate modeling and simulation, weather forecasting, climate risk assessment, and climate monitoring and surveillance. The market value includes the value of related goods sold by the service provider or included within the service offering. The climate data analysis market also includes sales of research reports, software solutions, and data licensing. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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