2025-2029年全球人工智慧气候建模市场

全球基于人工智慧的气候建模市场预计在 2024 年至 2029 年的预测期内将成长至 497,315,100 美元，复合年增长率为 20.0%。

本报告对全球基于人工智慧的气候建模市场进行了全面分析，包括市场规模和预测、趋势、成长要素和挑战，以及对约 25 家供应商的分析。

该报告对当前市场状况、最新趋势和驱动因素以及整体市场环境进行了最新分析。市场成长的驱动因素包括：对更准确、更详细的气候预测的需求不断增长；对气候技术的投资和政策支援不断增加；以及人工智慧和运算能力的进步。

本研究采用客观的方法，结合一手和二手讯息，包括来自主要行业相关人员的意见。报告包含对主要企业的分析、全面的市场规模数据、区域細項分析以及供应商格局。报告提供历史数据和预测数据。

研究指出，生成式人工智慧和数数位双胞胎在气候建模领域的兴起，是未来几年推动全球人工智慧气候建模市场成长的主要因素之一。此外，超本地化和极端天气预报的日益普及，以及不断增长的投资和跨行业策略合作，预计也将为市场带来巨大的需求。

目录

第一章执行摘要

第二章 Technavio 分析

• 价格回应性、生命週期、顾客购买篮子、采纳率和购买标准分析
• 投入与差异化因素的重要性
• 混淆来源
• 驱动因素和挑战的影响

第三章 市场情势

• 市场生态系统
• 市场特征
• 价值链分析

第四章 市场规模

• 市场定义
• 市场区隔分析
• 2024年市场规模
• 2024-2029年市场展望

第五章 市场规模表现

• 2019-2023年全球人工智慧气候建模市场
• 组件細項分析，2019-2023 年
• 技术细分市场分析，2019-2023年
• 应用细分市场分析，2019-2023 年
• 区域细分市场分析，2019-2023年
• 国家细分市场分析，2019-2023年

第六章五力分析

• 五力分析概述
• 买方的议价能力
• 供应商的议价能力
• 新进入者的威胁
• 替代品的威胁
• 竞争威胁
• 市场状况

7. 按组件进行市场细分

• 比较：按组件
• 软体
• 服务
• 按组件分類的市场机会

8. 按技术分類的市场细分

• 比较：按技术
• 机器学习
• 深度学习
• 自然语言处理（NLP）
• 电脑视觉
• 强化学习
• 科技市场机会

第九章 按应用进行市场细分

• 比较：透过应用
• 天气预报与预警系统
• 气候变迁预测与长期建模
• 碳足迹和排放监测
• 灾害风险管理
• 其他的
• 按应用分類的市场机会

第十章 客户情况

第十一章 区域情势

• 区域细分
• 区域比较
• 亚太地区
  • 中国
  • 日本
  • 印度
  • 澳洲
  • 韩国
  • 新加坡
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 英国
  • 德国
  • 法国
  • 荷兰
  • 义大利
  • 西班牙
• 中东和非洲
  • 南非
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 奈及利亚
  • 埃及
• 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
• 各区域的市场机会

第十二章：驱动因素、挑战与机会

• 市场驱动因素
• 市场挑战
• 驱动因素和挑战的影响
• 市场机会

第十三章 竞争格局

• 概述
• 竞争格局
• 令人困惑的局面
• 产业风险

第十四章 竞争分析

• 公司简介
• 企业排名指数
• 公司市场定位
• Amazon Web Services Inc.
• Arundo Analytics Inc.
• Atmo Inc.
• ClimateAi. inc.
• DTN LLC
• Google LLC
• IBM Corp.
• Jupiter Intelligence. Inc
• Meteomatics Group
• Microsoft Corp.
• NVIDIA Corp.
• Spire Global Inc.
• The Climate Corp.
• The Tomorrow Companies Inc.
• Xacmaz Technology Pvt. Ltd.

第十五章附录

The global ai-based climate modelling market is forecasted to grow by USD 497315.1 thousand during 2024-2029, accelerating at a CAGR of 20.0% during the forecast period. The report on the global ai-based climate modelling market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by escalating demand for enhanced accuracy and granularity in climate projections, increasing investment and policy support for climate technology, advancements in AI and computational power.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global ai-based climate modelling market is segmented as below:

By Component

• Software
• Services

By Technology

• Machine learning
• Deep learning
• NLP
• Computer vision
• Reinforcement learning

By Application

• Weather forecasting and early warning systems
• Climate change prediction and long-term modelling
• Carbon footprint and emission monitoring
• Disaster risk management
• Others

Geography

• APAC
  • China
  • Japan
  • India
  • Australia
  • South Korea
  • Singapore
• North America
  • US
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
  • The Netherlands
  • Italy
  • Spain
• Middle East and Africa
  • South Africa
  • UAE
  • Egypt
• South America
  • Brazil
  • Argentina
  • Colombia
• Rest of World (ROW)

This study identifies the emergence of generative AI and digital twins in climate modeling as one of the prime reasons driving the global ai-based climate modelling market growth during the next few years. Also, proliferation of hyper-local weather forecasting and extreme event prediction and escalating investments and strategic cross-sector collaborations will lead to sizable demand in the market.

The report on the global ai-based climate modelling market covers the following areas:

• Global ai-based climate modelling market sizing
• Global ai-based climate modelling market forecast
• Global ai-based climate modelling market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global ai-based climate modelling market vendors that include AccuWeather Inc., Amazon Web Services Inc., Arundo Analytics Inc., Atmo Inc., ClimateAi. inc., DTN LLC, Google LLC, IBM Corp., Jupiter Intelligence. Inc, Meteomatics Group, Microsoft Corp., NVIDIA Corp., SAS Institute Inc., Spire Global Inc., The Climate Corp., The Tomorrow Companies Inc., Xacmaz Technology Pvt. Ltd.. Also, the global ai-based climate modelling market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI-Based Climate Modelling Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI-Based Climate Modelling Market 2019 - 2023 ($ thousand)
• 5.2 Component segment analysis 2019 - 2023
  • Historic Market Size - Component Segment 2019 - 2023 ($ thousand)
• 5.3 Technology segment analysis 2019 - 2023
  • Historic Market Size - Technology Segment 2019 - 2023 ($ thousand)
• 5.4 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ thousand)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ thousand)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ thousand)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Component

• 7.1 Market segments
• 7.2 Comparison by Component
• 7.3 Software - Market size and forecast 2024-2029
• 7.4 Services - Market size and forecast 2024-2029
• 7.5 Market opportunity by Component
  • Market opportunity by Component ($ thousand)

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Machine learning - Market size and forecast 2024-2029
• 8.4 Deep learning - Market size and forecast 2024-2029
• 8.5 NLP - Market size and forecast 2024-2029
• 8.6 Computer vision - Market size and forecast 2024-2029
• 8.7 Reinforcement learning - Market size and forecast 2024-2029
• 8.8 Market opportunity by Technology
  • Market opportunity by Technology ($ thousand)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 Weather forecasting and early warning systems - Market size and forecast 2024-2029
• 9.4 Climate change prediction and long-term modelling - Market size and forecast 2024-2029
• 9.5 Carbon footprint and emission monitoring - Market size and forecast 2024-2029
• 9.6 Disaster risk management - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by Application
  • Market opportunity by Application ($ thousand)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 APAC - Market size and forecast 2024-2029
  • 11.3.1 China - Market size and forecast 2024-2029
  • 11.3.2 Japan - Market size and forecast 2024-2029
  • 11.3.3 India - Market size and forecast 2024-2029
  • 11.3.4 Australia - Market size and forecast 2024-2029
  • 11.3.5 South Korea - Market size and forecast 2024-2029
  • 11.3.6 Singapore - Market size and forecast 2024-2029
• 11.4 North America - Market size and forecast 2024-2029
  • 11.4.1 US - Market size and forecast 2024-2029
  • 11.4.2 Canada - Market size and forecast 2024-2029
  • 11.4.3 Mexico - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 UK - Market size and forecast 2024-2029
  • 11.5.2 Germany - Market size and forecast 2024-2029
  • 11.5.3 France - Market size and forecast 2024-2029
  • 11.5.4 The Netherlands - Market size and forecast 2024-2029
  • 11.5.5 Italy - Market size and forecast 2024-2029
  • 11.5.6 Spain - Market size and forecast 2024-2029
• 11.6 Middle East and Africa - Market size and forecast 2024-2029
  • 11.6.1 South Africa - Market size and forecast 2024-2029
  • 11.6.2 UAE - Market size and forecast 2024-2029
  • 11.6.3 Saudi Arabia - Market size and forecast 2024-2029
  • 11.6.4 Nigeria - Market size and forecast 2024-2029
  • 11.6.5 Egypt - Market size and forecast 2024-2029
• 11.7 South America - Market size and forecast 2024-2029
  • 11.7.1 Brazil - Market size and forecast 2024-2029
  • 11.7.2 Argentina - Market size and forecast 2024-2029
  • 11.7.3 Colombia - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ thousand)
  • Data Tables on Market opportunity by geography ($ thousand)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Escalating demand for enhanced accuracy and granularity in climate projections
  • Increasing investment and policy support for climate technology
  • Advancements in AI and computational power
• 12.2 Market challenges
  • Data scarcity, quality, and accessibility
  • High computational cost and resource requirements
  • Model interpretability, trust, and integration with physical models
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Emergence of generative AI and digital twins in climate modeling
  • Proliferation of hyper-local weather forecasting and extreme event prediction
  • Escalating investments and strategic cross-sector collaborations

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.5 Arundo Analytics Inc.
  • Arundo Analytics Inc. - Overview
  • Arundo Analytics Inc. - Product / Service
  • Arundo Analytics Inc. - Key offerings
  • SWOT
• 14.6 Atmo Inc.
  • Atmo Inc. - Overview
  • Atmo Inc. - Product / Service
  • Atmo Inc. - Key offerings
  • SWOT
• 14.7 ClimateAi. inc.
  • ClimateAi. inc. - Overview
  • ClimateAi. inc. - Product / Service
  • ClimateAi. inc. - Key offerings
  • SWOT
• 14.8 DTN LLC
  • DTN LLC - Overview
  • DTN LLC - Product / Service
  • DTN LLC - Key offerings
  • SWOT
• 14.9 Google LLC
  • Google LLC - Overview
  • Google LLC - Product / Service
  • Google LLC - Key offerings
  • SWOT
• 14.10 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.11 Jupiter Intelligence. Inc
  • Jupiter Intelligence. Inc - Overview
  • Jupiter Intelligence. Inc - Product / Service
  • Jupiter Intelligence. Inc - Key offerings
  • SWOT
• 14.12 Meteomatics Group
  • Meteomatics Group - Overview
  • Meteomatics Group - Product / Service
  • Meteomatics Group - Key offerings
  • SWOT
• 14.13 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.14 NVIDIA Corp.
  • NVIDIA Corp. - Overview
  • NVIDIA Corp. - Business segments
  • NVIDIA Corp. - Key news
  • NVIDIA Corp. - Key offerings
  • NVIDIA Corp. - Segment focus
  • SWOT
• 14.15 Spire Global Inc.
  • Spire Global Inc. - Overview
  • Spire Global Inc. - Product / Service
  • Spire Global Inc. - Key offerings
  • SWOT
• 14.16 The Climate Corp.
  • The Climate Corp. - Overview
  • The Climate Corp. - Product / Service
  • The Climate Corp. - Key offerings
  • SWOT
• 14.17 The Tomorrow Companies Inc.
  • The Tomorrow Companies Inc. - Overview
  • The Tomorrow Companies Inc. - Product / Service
  • The Tomorrow Companies Inc. - Key offerings
  • SWOT
• 14.18 Xacmaz Technology Pvt. Ltd.
  • Xacmaz Technology Pvt. Ltd. - Overview
  • Xacmaz Technology Pvt. Ltd. - Product / Service
  • Xacmaz Technology Pvt. Ltd. - Key offerings
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations