查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1644161

基于人工智慧的气候模式的全球市场

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个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

到 2030 年，全球人工智慧气候建模市场规模预计将达到 9.088 亿美元

2024 年全球基于人工智慧的气候建模市场规模估计为 2.876 亿美元，预计 2030 年将达到 9.088 亿美元，2024 年至 2030 年的复合年增长率为 21.1%。气候建模人工智慧软体是该报告分析的细分市场之一，预计到分析期结束时复合年增长率为 19.5%，达到 6.761 亿美元。预计在分析期内，气候建模人工智慧服务部门的复合年增长率为 27.1%。

美国市场规模估计为 7,560 万美元，中国市场预计复合年增长率为 20.1%

预计 2024 年美国基于人工智慧的气候建模市场价值将达到 7,560 万美元。中国是世界第二大经济体，预计到 2030 年市场规模将达到 1.398 亿美元，2024-2030 年分析期间的复合年增长率为 20.1%。其他值得注意的区域市场包括日本和加拿大，预计在分析期间的复合年增长率分别为 19.1% 和 18.3%。在欧洲，预计德国的复合年增长率约为 14.7%。

全球基于人工智慧的气候建模市场 - 主要趋势和驱动因素摘要

人工智慧将如何改变气候建模和预测？

人工智慧 (AI) 透过在分析复杂气候系统方面提供前所未有的精度和速度，正在彻底改变气候建模。传统的气候模型依赖物理方程式和历史资料，虽然有效，但往往难以应对气候动态的巨大规模和多变性。人工智慧透过结合机器学习演算法来分析来自卫星、气象站和海洋浮标的大量资料集，为这些模型提供支援。这些演算法以惊人的精度检测模式、预测趋势和模拟气候情景，从而能够更好地理解和预测气候现象。

人工智慧对气候建模最重要的贡献之一是它能够提高预测的粒度。从预测飓风和洪水等局部极端天气到模拟全球气温和海平面的长期变化，人工智慧模型正在填补现有气候科学的重要空白。此外，人工智慧气候模型使政策制定者能够快速进行情境分析，评估不同缓解策略的潜在影响，并主动应对新出现的环境挑战。

推动人工智慧在气候科学中的应用的因素有哪些？

应对气候变迁的紧迫性日益增强以及极端天气事件的频繁发生正在推动人工智慧在气候科学中的应用。政府、研究机构和私人组织正在利用人工智慧来改善气候风险评估并提高灾害应变能力。人工智慧工具将能够更准确地预测热浪、干旱和飓风等事件，从而及时采取干预措施，挽救生命和资源。此外，人工智慧模型处理和分析即时资料的能力使其在监测气候相关变化方面发挥重要作用。

对气候风险可行洞察的需求也刺激了人工智慧与农业、能源和保险等产业的融合。例如，基于人工智慧的气候模型正在帮助农民根据准确的天气预报来优化作物种植计画和灌溉策略。同样，能源公司正在使用人工智慧来预测气候变迁引起的需求波动并提高营运效率。此类产业特定应用凸显了人工智慧在应对气候相关挑战方面日益增长的重要性，促进了其在各个领域的应用。

基于人工智慧的模型能够帮助减缓气候变迁吗？

基于人工智慧的气候模型正成为全球减缓气候变迁的有力工具。透过提供碳排放、森林砍伐率和其他环境压力因素的准确预测，人工智慧可以帮助政府和组织设计和实施有效的缓解策略。例如，人工智慧模型正在被用于优化太阳能和风力发电厂等可再生能源发电系统。这些进步将有助于减少我们对石化燃料的依赖，并加速向低碳经济的转型。

此外，人工智慧也透过对生态系统的精确测绘和监测来支援重新造林工作和自然资源保护。该人工智慧平台透过分析卫星影像来侦测土地利用变化、确定森林砍伐区域并追踪生物多样性的丧失。这些见解可以融入有针对性的保护措施中，使其更加有效。此外，捕碳封存计划越来越多地采用人工智慧模型来优化流程并确定最有效的储存位置。透过支持这些缓解倡议，基于人工智慧的气候模型对于解决气候变迁的根本原因至关重要。

是什么推动了基于人工智慧的气候建模市场的成长？

基于人工智慧的气候建模市场的成长受到几个关键因素的推动，这些因素反映了对应对气候挑战的先进工具的需求日益增加。卫星和物联网感测器提供的高品质气候资料日益增多，为人工智慧模型的蓬勃发展奠定了基础。这些资料来源与机器学习演算法的快速进步相结合，使得对气候动态的洞察变得准确且可操作。此外，气候变迁的影响日益加剧，例如极端天气事件更加频繁和海平面上升，正在推动对支持主动决策的预测模型工具的需求。

应对气候变迁的政策主导努力也推动了对基于人工智慧的气候建模解决方案的投资。各国政府和国际组织正在资助人工智慧研究，以增强气候适应力并实现永续性目标。保险和农业等极易受到气候风险影响的行业正在采用人工智慧模型来减少损失并适应不断变化的条件。人工智慧在可再生能源规划和灾害管理中的日益融入进一步凸显了其在塑造永续未来方面的关键作用。这些因素共同凸显了市场的快速扩张，并将基于人工智慧的气候建模定位为全球气候行动策略的关键组成部分。

部分

元件（软体元件、服务元件）；应用程式（天气预报应用程式、气候预报应用程式、减灾应用程式、环境监测应用程式、其他应用程式）

受访企业范例（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）

目录

第一章调查方法

第 2 章执行摘要

  • 市场概况
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 竞赛

简介目录
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