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基於人工智慧的氣候模式的全球市場

Artificial Intelligence-based Climate Modelling
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 154 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

到 2030 年，全球人工智慧氣候建模市場規模預計將達到 9.088 億美元

2024 年全球基於人工智慧的氣候建模市場規模估計為 2.876 億美元，預計 2030 年將達到 9.088 億美元，2024 年至 2030 年的複合年成長率為 21.1%。氣候建模人工智慧軟體是該報告分析的細分市場之一，預計到分析期結束時複合年成長率為 19.5%，達到 6.761 億美元。預計在分析期內，氣候建模人工智慧服務部門的複合年成長率為 27.1%。

美國市場規模估計為 7,560 萬美元，中國市場預計複合年成長率為 20.1%

預計 2024 年美國基於人工智慧的氣候建模市場價值將達到 7,560 萬美元。中國是世界第二大經濟體，預計到 2030 年市場規模將達到 1.398 億美元，2024-2030 年分析期間的複合年成長率為 20.1%。其他值得注意的區域市場包括日本和加拿大，預計在分析期間的複合年成長率分別為 19.1% 和 18.3%。在歐洲，預計德國的複合年成長率約為 14.7%。

全球基於人工智慧的氣候建模市場 - 主要趨勢和促進因素摘要

人工智慧將如何改變氣候建模和預測？

人工智慧 (AI) 透過在分析複雜氣候系統方面提供前所未有的精度和速度，正在徹底改變氣候建模。傳統的氣候模型依賴物理方程式和歷史資料，雖然有效，但往往難以應對氣候動態的巨大規模和多變性。人工智慧透過結合機器學習演算法來分析來自衛星、氣象站和海洋浮標的大量資料集，為這些模型提供支援。這些演算法以驚人的精度檢測模式、預測趨勢和模擬氣候情景，從而能夠更好地理解和預測氣候現象。

人工智慧對氣候建模最重要的貢獻之一是它能夠提高預測的粒度。從預測颶風和洪水等局部極端天氣到模擬全球氣溫和海平面的長期變化，人工智慧模型正在填補現有氣候科學的重要空白。此外，人工智慧氣候模型使政策制定者能夠快速進行情境分析，評估不同緩解策略的潛在影響，並主動應對新出現的環境挑戰。

推動人工智慧在氣候科學中的應用的因素有哪些？

應對氣候變遷的緊迫性日益增強以及極端天氣事件的頻繁發生正在推動人工智慧在氣候科學中的應用。政府、研究機構和私人組織正在利用人工智慧來改善氣候風險評估並提高災害應變能力。人工智慧工具將能夠更準確地預測熱浪、乾旱和颶風等事件，從而及時採取干涉措施，挽救生命和資源。此外，人工智慧模型處理和分析即時資料的能力使其在監測氣候相關變化方面發揮重要作用。

對氣候風險可行洞察的需求也刺激了人工智慧與農業、能源和保險等產業的融合。例如，基於人工智慧的氣候模型正在幫助農民根據準確的天氣預報來最佳化作物種植計畫和灌溉策略。同樣，能源公司正在使用人工智慧來預測氣候變遷引起的需求波動並提高營運效率。此類產業特定應用凸顯了人工智慧在應對氣候相關挑戰方面日益成長的重要性，促進了其在各個領域的應用。

基於人工智慧的模型能夠幫助減緩氣候變遷嗎？

基於人工智慧的氣候模型正成為全球減緩氣候變遷的有力工具。透過提供碳排放、森林砍伐率和其他環境壓力因素的準確預測，人工智慧可以幫助政府和組織設計和實施有效的緩解策略。例如，人工智慧模型正在被用於最佳化太陽能和風力發電廠等可再生能源發電系統。這些進步將有助於減少我們對石化燃料的依賴，並加速向低碳經濟的轉型。

此外，人工智慧也透過對生態系統的精確測繪和監測來支援重新造林工作和自然資源保護。該人工智慧平台透過分析衛星影像來偵測土地利用變化、確定森林砍伐區域並追蹤生物多樣性的喪失。這些見解可以融入有針對性的保護措施中，使其更加有效。此外，捕碳封存計劃擴大採用人工智慧模型來最佳化流程並確定最有效的儲存位置。透過支持這些緩解舉措，基於人工智慧的氣候模型對於解決氣候變遷的根本原因至關重要。

是什麼推動了基於人工智慧的氣候建模市場的成長？

基於人工智慧的氣候建模市場的成長受到幾個關鍵因素的推動，這些因素反映了對應對氣候挑戰的先進工具的需求日益增加。衛星和物聯網感測器提供的高品質氣候資料日益增多，為人工智慧模型的蓬勃發展奠定了基礎。這些資料來源與機器學習演算法的快速進步相結合，使得對氣候動態的洞察變得準確且可操作。此外，氣候變遷的影響日益加劇，例如極端天氣事件更加頻繁和海平面上升，正在推動對支持主動決策的預測模型工具的需求。

應對氣候變遷的政策主導努力也推動了對基於人工智慧的氣候建模解決方案的投資。各國政府和國際組織正在資助人工智慧研究，以增強氣候適應力並實現永續性目標。保險和農業等極易受到氣候風險影響的行業正在採用人工智慧模型來減少損失並適應不斷變化的條件。人工智慧在可再生能源規劃和災害管理中的日益融入進一步凸顯了其在塑造永續未來方面的關鍵作用。這些因素共同凸顯了市場的快速擴張，並將基於人工智慧的氣候建模定位為全球氣候行動策略的關鍵組成部分。

部分

元件（軟體元件、服務元件）；應用程式（天氣預報應用程式、氣候預報應用程式、減災應用程式、環境監測應用程式、其他應用程式）

受訪企業範例（共52家）

  • AccuWeather, Inc.
  • Arundo Analytics, Inc.
  • Baron Services
  • ClimateAI
  • Google DeepMind
  • IBM Corporation
  • Jupiter Intelligence
  • Microsoft Corporation
  • National Aeronautics and Space Administration（NASA）

目錄

第1章調查方法

第 2 章執行摘要

  • 市場概況
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章 市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 競賽

簡介目錄
Product Code: MCP29239

Global Artificial Intelligence-based Climate Modelling Market to Reach US$908.8 Million by 2030

The global market for Artificial Intelligence-based Climate Modelling estimated at US$287.6 Million in the year 2024, is expected to reach US$908.8 Million by 2030, growing at a CAGR of 21.1% over the analysis period 2024-2030. Climate Modelling AI Software, one of the segments analyzed in the report, is expected to record a 19.5% CAGR and reach US$676.1 Million by the end of the analysis period. Growth in the Climate Modelling AI Services segment is estimated at 27.1% CAGR over the analysis period.

The U.S. Market is Estimated at US$75.6 Million While China is Forecast to Grow at 20.1% CAGR

The Artificial Intelligence-based Climate Modelling market in the U.S. is estimated at US$75.6 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$139.8 Million by the year 2030 trailing a CAGR of 20.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 19.1% and 18.3% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 14.7% CAGR.

Global Artificial Intelligence-Based Climate Modelling Market - Key Trends & Drivers Summarized

How Is AI Transforming Climate Modelling and Predictions?

Artificial Intelligence (AI) is revolutionizing climate modelling by providing unprecedented accuracy and speed in analyzing complex climate systems. Traditional climate models rely on physical equations and historical data, which, while effective, often struggle with the immense scale and variability of climate dynamics. AI enhances these models by incorporating machine learning algorithms capable of analyzing massive datasets from satellites, weather stations, and ocean buoys. These algorithms detect patterns, predict trends, and simulate climate scenarios with remarkable precision, enabling better understanding and forecasting of climate phenomena.

One of the most significant contributions of AI in climate modelling is its ability to improve the granularity of predictions. From forecasting localized extreme weather events like hurricanes and floods to simulating long-term shifts in global temperature and sea levels, AI models are filling critical gaps in existing climate science. Additionally, AI-powered climate models are facilitating faster scenario analysis, allowing policymakers to evaluate the potential impacts of various mitigation strategies and respond proactively to emerging environmental challenges.

What Drives the Adoption of AI in Climate Science?

The growing urgency to combat climate change and the increasing frequency of extreme weather events are driving the adoption of AI in climate science. Governments, research institutions, and private organizations are leveraging AI to refine climate risk assessments and enhance disaster preparedness. AI-powered tools enable more accurate forecasting of events such as heatwaves, droughts, and cyclones, allowing for timely interventions that save lives and resources. Moreover, the ability of AI models to process and analyze real-time data is proving invaluable in monitoring climate-related changes as they occur.

The demand for actionable insights into climate risks has also spurred the integration of AI into industries such as agriculture, energy, and insurance. For example, AI-based climate models help farmers optimize crop planting schedules and irrigation strategies based on precise weather forecasts. Similarly, energy companies use AI to predict demand fluctuations caused by climate variability, improving operational efficiency. These industry-specific applications underscore the expanding relevance of AI in addressing climate-related challenges, driving its adoption across sectors.

Can AI-Based Models Help Mitigate Climate Change?

AI-based climate models are emerging as powerful tools in global efforts to mitigate climate change. By providing accurate predictions of carbon emissions, deforestation rates, and other environmental stressors, AI enables governments and organizations to design and implement effective mitigation strategies. For instance, AI models are being used to optimize renewable energy systems, such as solar and wind farms, by forecasting energy generation potential and integrating these resources into existing grids. These advancements help reduce reliance on fossil fuels and accelerate the transition to a low-carbon economy.

In addition, AI is aiding reforestation efforts and natural resource conservation through precision mapping and monitoring of ecosystems. AI-powered platforms analyze satellite imagery to detect changes in land use, identify areas of deforestation, and track biodiversity loss. These insights inform targeted conservation measures, enhancing their effectiveness. Furthermore, AI models are increasingly employed in carbon capture and storage projects, optimizing processes and identifying the most efficient storage sites. By supporting these mitigation initiatives, AI-based climate modelling is proving essential in addressing the root causes of climate change.

What’s Driving the Growth of the AI-Based Climate Modelling Market?

The growth in the Artificial Intelligence-Based Climate Modelling market is driven by several key factors, reflecting the rising need for advanced tools to address climate challenges. The increasing availability of high-quality climate data from satellites and IoT sensors has provided a foundation for AI models to thrive. These data sources, combined with rapid advancements in machine learning algorithms, enable precise and actionable insights into climate dynamics. Furthermore, the escalating impacts of climate change, such as more frequent extreme weather events and rising sea levels, are fueling demand for predictive modelling tools to support proactive decision-making.

Policy-driven initiatives aimed at combating climate change are also boosting investments in AI-based climate modelling solutions. Governments and international organizations are funding AI research to enhance climate resilience and meet sustainability goals. Industries such as insurance and agriculture, which are highly vulnerable to climate risks, are adopting AI-powered models to mitigate losses and adapt to changing conditions. The increasing integration of AI in renewable energy planning and disaster management further highlights its critical role in shaping a sustainable future. These factors collectively underline the market’s rapid expansion, positioning AI-based climate modelling as a cornerstone of global climate action strategies.

SCOPE OF STUDY:

The report analyzes the Artificial Intelligence-based Climate Modelling market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Application (Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 52 Featured) -

  • AccuWeather, Inc.
  • Arundo Analytics, Inc.
  • Baron Services
  • ClimateAI
  • Google DeepMind
  • IBM Corporation
  • Jupiter Intelligence
  • Microsoft Corporation
  • National Aeronautics and Space Administration (NASA)

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Economic Frontiers: Trends, Trials & Transformations
    • Artificial Intelligence-based Climate Modelling - Global Key Competitors Percentage Market Share in 2024 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2024 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • AI-Enhanced Climate Models Spur Adoption for Accurate Predictions of Extreme Weather Events
    • Real-Time Climate Monitoring with AI Expands Opportunities for Disaster Preparedness
    • AI-Driven Climate Insights Propel Policy Decisions and Global Sustainability Goals
    • Advanced AI Models Strengthen Case for Mitigating Greenhouse Gas Emissions
    • Corporates Leverage AI-Based Climate Analytics to Meet ESG (Environmental, Social, and Governance) Mandates
    • AI-Enabled Climate Solutions Highlight Emerging Market for Precision Agriculture
    • AI-Powered Forecasting Tools Drive Growth in Insurance and Risk Management Industries
    • AI Applications in Oceanographic Studies Expand Understanding of Marine Ecosystems
    • AI Adoption in Carbon Capture and Storage (CCS) Technologies Bodes Well for Market Growth
    • AI-Based Deforestation Detection Systems Strengthen Conservation Efforts Worldwide
    • Emergence of AI in Water Resource Management Highlights New Market Opportunities
    • AI for Wildfire Prediction and Management Drives Adoption of Advanced Analytics Platforms
    • Governments Leverage AI-Based Climate Models to Enhance Environmental Policy Making
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Artificial Intelligence-based Climate Modelling Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Weather Forecasting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Weather Forecasting Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Climate Prediction Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Climate Prediction Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Disaster Risk Reduction Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Disaster Risk Reduction Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Environmental Monitoring Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Environmental Monitoring Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 18: USA Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 19: USA 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 20: USA Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 21: USA 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • CANADA
    • TABLE 22: Canada Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 23: Canada 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 24: Canada Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 25: Canada 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • JAPAN
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 26: Japan Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Japan 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 28: Japan Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 29: Japan 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • CHINA
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 30: China Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 31: China 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 32: China Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 33: China 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • EUROPE
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 34: Europe Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
    • TABLE 35: Europe 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 36: Europe Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Europe 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 38: Europe Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Europe 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • FRANCE
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 40: France Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 41: France 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 42: France Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 43: France 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • GERMANY
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 44: Germany Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Germany 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 46: Germany Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Germany 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • ITALY
    • TABLE 48: Italy Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Italy 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 50: Italy Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Italy 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • UNITED KINGDOM
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 52: UK Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 53: UK 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 54: UK Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 55: UK 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 56: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 57: Rest of Europe 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 58: Rest of Europe Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Rest of Europe 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Artificial Intelligence-based Climate Modelling Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 60: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Asia-Pacific 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 62: Asia-Pacific Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Asia-Pacific 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 64: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Rest of World 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2025 & 2030
    • TABLE 66: Rest of World Recent Past, Current & Future Analysis for Artificial Intelligence-based Climate Modelling by Application - Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Rest of World 6-Year Perspective for Artificial Intelligence-based Climate Modelling by Application - Percentage Breakdown of Value Sales for Weather Forecasting Application, Climate Prediction Application, Disaster Risk Reduction Application, Environmental Monitoring Application and Other Applications for the Years 2025 & 2030

IV. COMPETITION