AI 기반 기후 모델링 시장(2025-2029년)

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