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AI-Based Climate Modelling Market Size

Report ID: GMI12534
Published Date: Dec 2024
Report Format: PDF

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AI-Based Climate Modelling Market Size

The global AI-based climate modelling market size was valued at USD 266.4 million in 2024 and is projected to grow at a CAGR of 23.1% between 2025 and 2034, driven by the growing awareness of climate change and its devastating impacts, prompting the need for advanced tools to predict and mitigate risks effectively. Rapid advancements in AI technologies, such as machine learning and deep learning, have enabled more accurate, granular, and real-time climate predictions.

AI-Based Climate Modelling Market

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Governments and organizations are increasing investments in climate resilience initiatives, while regulatory pressures on climate-related disclosures and sustainability practices are fostering demand for sophisticated AI tools. Moreover, the growing availability of high-quality climate data and integration with other technologies like IoT and cloud computing further enhances the applicability of AI models. This market is also propelled by industries such as energy, agriculture, and insurance seeking data-driven strategies for risk assessment and resource management?.

AI-Based Climate Modelling Market Report Attributes
Report Attribute	Details
Base Year:	2024
AI-Based Climate Modelling Market Size in 2024:	USD 266.4 Million
Forecast Period:	2025 – 2034
2025 – 2034 Value Projection:	USD 2 Billion
Historical Data for:	2021 – 2024
No. of Pages:	180
Tables, Charts & Figures:	200
Segments covered:	Component, Deployment Mode, Technology, Application
Growth Drivers:	Increasing awareness and urgency to address climate change impacts Technological advancements in AI, including machine learning and deep learning models Rising investments by governments and organizations in climate resilience initiatives Demand for predictive tools in sectors like agriculture, energy, and disaster risk management
Pitfalls & Challenges:	Limited availability of high-quality and comprehensive climate data, especially in developing regions Complexity and inherent uncertainties in long-term climate predictions by AI models

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For instance, in April 2023, ClimateAI, a pioneering start-up in AI-driven climate change mitigation, raised USD 22 million in Series B funding in 2023. Its platform utilizes AI for climate risk modeling, offering long-term forecasts and risk assessments tailored to crop yields and supply chains. These insights enable businesses to take proactive steps to adapt to future climate disruptions effectively. This innovation highlights AI’s potential to address pressing climate challenges.

Another growth driver of the AI-based climate modelling market is the increasing need for predictive tools in disaster risk management. With the frequency of extreme weather events rising due to climate change, governments, and organizations are leveraging AI-driven models for early warning systems and preparedness planning. These tools enhance the ability to minimize economic losses and protect vulnerable populations. This growing reliance on AI for real-time and long-term disaster resilience is boosting market demand?.

Authors: Preeti Wadhwani, Satyam Jaiswal

Frequently Asked Questions (FAQ) :

The market size of AI-based climate modelling reached USD 266.4 million in 2024 and is set to grow at a 23.1% CAGR from 2025 to 2034, driven by the growing awareness of climate change and its impacts.

The weather forecasting segment held over 45% of the market share in 2024, led by the critical need for accurate, real-time weather predictions in sectors like agriculture, energy, and transportation.

The U.S. market accounted for 80% of the revenue share in 2024 and is expected to exceed USD 500 million by 2034, supported by its strong technological infrastructure and leadership in AI research and development.

The key players in the industry include AccuWeather, Arundo Analytics, Atmos AI, ClimateAI, Google, IBM, Jupiter Intelligence, Microsoft Corporation, Open Climate Fix, and Weather Technologies.