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人工知能に基づく気候モデリングの世界市場

Artificial Intelligence-based Climate Modelling

出版日
ページ情報
英文 154 Pages
納期
即日から翌営業日
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=143.57円
人工知能に基づく気候モデリングの世界市場
出版日: 2025年01月27日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 154 Pages
納期: 即日から翌営業日
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概要

人工知能に基づく気候モデリングの世界市場は2030年までに9億880万米ドルに達する見込み

2024年に2億8,760万米ドルと推定される人工知能に基づく気候モデリングの世界市場は、2024年から2030年にかけて21.1%のCAGRで成長し、2030年には9億880万米ドルに達すると予測されます。本レポートで分析したセグメントの1つである気候モデリングAIソフトウェアは、CAGR 19.5%を記録し、分析期間終了時には6億7,610万米ドルに達すると予測されます。気候モデリングAIサービス分野の成長率は、分析期間でCAGR 27.1％と推定されます。

米国市場は7,560万米ドルと推定、中国はCAGR20.1%で成長予測

米国の人工知能に基づく気候モデリング市場は2024年に7,560万米ドルと推定されます。世界第2位の経済大国である中国は、分析期間2024-2030年のCAGRを20.1%として、2030年までに1億3,980万米ドルの市場規模に達すると予測されています。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ19.1％と18.3％と予測されています。欧州では、ドイツがCAGR約14.7%で成長すると予測されています。

世界の人工知能に基づく気候モデリング市場- 主要動向と促進要因まとめ

AIは気候モデリングと予測をどのように変革するか？

人工知能（AI）は、複雑な気候システムの分析においてかつてない精度とスピードを提供することで、気候モデリングに革命をもたらしています。従来の気候モデルは、物理方程式と過去のデータに依存しており、効果的ではあるが、気候ダイナミクスの巨大なスケールと変動性に対してしばしば苦戦を強いられています。AIは、人工衛星、気象観測所、海洋ブイからの膨大なデータセットを分析できる機械学習アルゴリズムを組み込むことで、これらのモデルを強化します。これらのアルゴリズムは、顕著な精度でパターンを検出し、動向を予測し、気候シナリオをシミュレートし、気候現象のより良い理解と予測を可能にします。

気候モデリングにおけるAIの最も重要な貢献のひとつは、予測の粒度を向上させる能力です。ハリケーンや洪水のような局地的な異常気象の予測から、地球の気温や海水面の長期的な変化のシミュレーションまで、AIモデルは既存の気候科学における重要なギャップを埋めています。さらに、AIを搭載した気候モデルは、シナリオ分析を迅速に行い、政策立案者がさまざまな緩和戦略の潜在的影響を評価し、新たな環境課題に積極的に対応できるようにしています。

気候科学におけるAI導入の原動力とは？

気候変動対策への緊急性の高まりと異常気象の頻度増加が、気候科学におけるAIの採用を後押ししています。政府、研究機関、民間組織は、気候リスク評価を精緻化し、災害への備えを強化するためにAIを活用しています。AIを搭載したツールは、熱波、干ばつ、サイクロンなどの事象をより正確に予測することを可能にし、人命と資源を救うタイムリーな介入を可能にします。さらに、リアルタイムのデータを処理・分析するAIモデルの能力は、気候関連の変化が発生した際のモニタリングにおいて非常に貴重なものとなっています。

気候リスクに関する実用的な洞察の需要は、農業、エネルギー、保険などの産業へのAIの統合にも拍車をかけています。例えば、AIベースの気候モデルは、農家が正確な気象予測に基づいて作物の植え付けスケジュールや灌漑戦略を最適化するのに役立っています。同様に、エネルギー会社はAIを使って気候変動による需要変動を予測し、経営効率を高めています。このような業界特有のアプリケーションは、気候関連の課題に対処する上でAIの関連性が拡大していることを強調するものであり、分野横断的な導入を促進しています。

AIベースのモデルは気候変動の緩和に役立つか？

AIベースの気候モデルは、気候変動を緩和するための世界の取り組みにおいて、強力なツールとして台頭してきています。炭素排出量、森林減少率、その他の環境ストレス要因の正確な予測を提供することで、AIは政府や組織が効果的な緩和戦略を設計し、実施することを可能にします。例えば、太陽光発電所や風力発電所などの再生可能エネルギー発電システムを最適化するために、AIモデルが利用されています。こうした進歩は、化石燃料への依存を減らし、低炭素経済への移行を加速するのに役立ちます。

さらにAIは、生態系の精密なマッピングやモニタリングを通じて、森林再生活動や天然資源保護を支援しています。AIを搭載したプラットフォームは、衛星画像を分析して土地利用の変化を検出し、森林破壊地域を特定し、生物多様性の損失を追跡します。このような洞察は、的を絞った保全対策に反映され、その効果を高める。さらに、炭素回収・貯留プロジェクトでもAIモデルの採用が増えており、プロセスを最適化し、最も効率的な貯留場所を特定しています。こうした緩和イニシアチブをサポートすることで、AIベースの気候モデリングは、気候変動の根本原因に対処する上で不可欠であることが証明されています。

何がAIベースの気候モデリング市場の成長を促進しているのか？

人工知能に基づく気候モデリング市場の成長は、気候課題に対処するための高度なツールに対するニーズの高まりを反映した、いくつかの重要な要因によって牽引されています。人工衛星やIoTセンサーからの高品質な気候データの利用可能性が高まっていることが、AIモデルの繁栄の基盤となっています。これらのデータソースは、機械学習アルゴリズムの急速な進歩と相まって、気候ダイナミクスに関する正確で実用的な洞察を可能にしています。さらに、異常気象の頻発や海面上昇など、気候変動の影響が深刻化していることから、先を見越した意思決定を支援する予測モデリング・ツールの需要が高まっています。

気候変動対策に向けた政策主導の取り組みも、AIベースの気候モデリングソリューションへの投資を後押ししています。各国政府や国際機関は、気候変動への耐性を強化し、持続可能性の目標を達成するためのAI研究に資金を提供しています。保険や農業など、気候リスクに対して非常に脆弱な業界は、損失を軽減し、変化する状況に適応するためにAIを活用したモデルを採用しつつあります。再生可能エネルギー計画や災害管理におけるAIの統合が進んでいることは、持続可能な未来の形成におけるAIの重要な役割をさらに浮き彫りにしています。これらの要因が相まって、市場の急速な拡大が強調され、AIベースの気候モデリングが世界の気候変動対策戦略の要として位置付けられています。

セグメント

コンポーネント（ソフトウェア・コンポーネント、サービス・コンポーネント）;アプリケーション（気象予測アプリケーション、気候予測アプリケーション、災害リスク軽減アプリケーション、環境モニタリングアプリケーション、その他アプリケーション）

調査対象企業の例（全52件）

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

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
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