North America AI-Based Climate Modelling Market Size, Share & Industry Analysis Report by Component, Application, Technology, Country and Growth Forecast, 2025-2032

The North America AI-Based Climate Modelling Market is expected to witness market growth of 20.0% CAGR during the forecast period (2025-2032).

The US market dominated the North America AI-Based Climate Modelling Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $401.1 million by 2032. The Canada market is experiencing a CAGR of 22.6% during 2025-2032. Additionally, the Mexico market is expected to exhibit a CAGR of 21.5% during 2025-2032. The US and Canada led the North America AI-Based Climate Modelling Market by Country with a market share of 75.1% and 12% in 2024.



The North American AI-based climate modeling market has grown quickly over the past ten years because there is a strong need for more accurate and timely climate predictions. At first, forecasting was mostly done by physics-based systems from groups like the U.S. National Weather Service and Environment Canada. But now that organizations like NOAA have added artificial intelligence, it is a faster and more accurate process. The cooperation of government agencies, universities, and big tech companies has led to a dynamic ecosystem where AI-driven climate models help with research, operational forecasting, policy-making, and corporate sustainability strategies. North America is even more of a leader in AI-powered climate modeling thanks to federal investments in updating infrastructure.

One of the most important trends in the market is the use of AI to modernize national forecasting systems, especially to make predictions about extreme weather more accurate. Partnerships between the public and private sectors and collaborations between schools are encouraging new ideas. This has led to the creation of foundation models that can look at large amounts of satellite data and give detailed information about changes in the environment. Increasingly, tech companies, startups, and academic spin-offs are using AI-based predictive solutions to help industries like agriculture, energy, and insurance. The competitive landscape is busy, but people work together to make sure that policymakers, businesses, and communities across North America have access to advanced tools that help them plan for climate change, manage risk, and make their communities more sustainable.

Application Outlook

Based on Application, the market is segmented into Weather Forecasting, Disaster Prediction, Climate Risk Assessment, Carbon Emission Tracking, and Other Application. Among various US AI-Based Climate Modelling Market by Application; The Weather Forecasting market achieved a market size of USD $183.7 Million in 2024 and is expected to grow at a CAGR of 18.6 % during the forecast period. The Carbon Emission Tracking market is predicted to experience a CAGR of 20.7% throughout the forecast period from (2025 - 2032).

Component Outlook

Based on Component, the market is segmented into Software and Services. The Software market segment dominated the Canada AI-Based Climate Modelling Market by Component is expected to grow at a CAGR of 22.3 % during the forecast period thereby continuing its dominance until 2032. Also, The Services market is anticipated to grow as a CAGR of 23.4 % during the forecast period during 2025-2032.

Country Outlook

Strong public-sector initiatives, strong research partnerships, and a policy-oriented approach to sustainability are what drive Canada's AI-based climate modeling market. National agencies are using AI to improve weather predictions and environmental monitoring. At the same time, open-source climate models have made it easier for researchers and policymakers to see and understand the data. The country's goal of reaching net-zero by 2050 is speeding up the use of AI for scenario planning, risk assessments, and predictive analytics in the forestry, water, and infrastructure sectors. Partnerships between colleges and universities and the government are helping to develop hyperlocal applications like flood prediction and urban heat island analysis. These applications work better when they are connected to Geographic Information Systems (GIS), which helps with city planning and making businesses more resilient. In general, competition in this area is more about research excellence, collaboration, and policy influence than business competition. This creates a climate ecosystem

List of Key Companies Profiled

• NVIDIA Corporation
• IBM Corporation
• Microsoft Corporation
• Google LLC
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• AccuWeather, Inc.
• ClimateAi
• Tomorrow.io
• The Climate Corporation
• Jupiter Intelligence

Market Report Segmentation

By Component

• Software
• Services

By Application

• Weather Forecasting
• Disaster Prediction
• Climate Risk Assessment
• Carbon Emission Tracking
• Other Application

By Technology

• Machine Learning
• Deep Learning
• Computer Vision
• Other Technology

By Country

• US
• Canada
• Mexico
• Rest of North America