AI-Based Climate Modelling Market Size, Share, Trends, & Industry Analysis Report By Component (Hardware, Software, Services), By Technology, By Deployment, By Application, By End User, and By Region – Market Forecast, 2025–2034

The AI-based climate modelling market size is expected to reach USD 2,203.68 Million by 2034, according to a new study by Polaris Market Research. The report “AI-Based Climate Modelling Market Share, Size, Trends, Industry Analysis Report: By Component (Hardware, Software, Services), By Technology, By Deployment, By Application, By End User, and By Region; Market Forecast, 2025–2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.

AI-based climate modelling systems use machine learning platforms, deep learning, and advanced data analytics to simulate and forecast climate behavior using vast datasets from satellites, sensors, and historical observations. These models are deployed across government agencies, research institutions, energy utilities, and ESG-compliant industries to improve forecasting accuracy, emissions monitoring, and climate risk assessment.

Market growth is primarily driven by the rising incidence of extreme weather events, increasing global commitment to net-zero targets, and growing regulatory demand for climate risk disclosures. The integration of AI in climate modelling is enabling faster, more accurate and high-resolution simulations to support policy planning, disaster response, and environmental monitoring.

AI-Based Climate Modelling Market Report Highlights

Based on component, the software segment held the largest revenue share in 2024, owing to widespread use in real-time simulation, emissions modelling, and regional climate impact forecasting.

In terms of technology, the machine learning segment dominated the market in 2024. This is fueled by its application in data-driven weather prediction, trend analysis, and model training.

Based on deployment, the cloud-based segment is projected to reach at a substantial share by 2034, enabled by scalable processing capacity and cross-platform data accessibility for climate analytics.

North America accounted for the majority share of 40.5% in the global AI-based climate modelling market in 2024, fueled by robust climate R&D funding and integration of AI platforms across federal agencies such as NOAA and NASA.

Asia Pacific is projected to grow fastest during the forecast period, fueled by expanding deployment in national early warning systems and AI-based emissions tracking platforms.

A few global key market players include IBM Corporation, Microsoft Corporation, Alphabet Inc., NVIDIA Corporation, ClimateAi, Jupiter, AccuWeather, Inc., Atmos Climate, Open Climate Fix, Atmo Inc., and LUNARTECH.

Polaris Market Research has segmented the market report on the basis of component, technology, deployment, application, end user, and region:

By Component Outlook (Revenue, USD Million, 2020–2034)

Hardware

Software

Services

Consulting

Managed Services

By Technology Outlook (Revenue, USD Million, 2020–2034)

Machine Learning

Deep Learning

Computer Vision

Other Technology

By Deployment Outlook (Revenue, USD Million, 2020–2034)

Cloud-Based

On-Premise

By Application Outlook (Revenue, USD Million, 2020–2034)

Weather Forecasting

Carbon Emissions Monitoring

Disaster Risk Assessment

Climate Risk Assessment

By End User Outlook (Revenue, USD Million, 2020–2034)

Government and Public Sector

Energy and Utilities

Agriculture

Insurance

Transportation

By Regional Outlook (Revenue, USD Million, 2020–2034)

North America

US

Canada

Europe

Germany

France

UK

Italy

Spain

Netherlands

Russia

Rest of Europe

Asia Pacific

China

Japan

India

Malaysia

South Korea

Indonesia

Australia

Vietnam

Rest of Asia Pacific

Middle East & Africa

Saudi Arabia

UAE

Israel

South Africa

Rest of Middle East & Africa

Latin America

Mexico

Brazil

Argentina

Rest of Latin America Show more