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AI-Based Climate Modelling Market Size - By Component, By Deployment Mode, By Technology, By Application Analysis, Share, Growth Forecast, 2025 - 2034

  • Report ID: GMI12534
  • Published Date: Dec 2024
  • Report Format: PDF

Report Content

Chapter 1   Methodology & Scope

1.1    Research design

1.1.1    Research approach

1.1.2    Data collection methods

1.2    Base estimates and calculations

1.2.1    Base year calculation

1.2.2    Key trends for market estimates

1.3    Forecast model

1.4    Primary research & validation

1.4.1    Primary sources

1.4.2    Data mining sources

1.5    Market definitions

Chapter 2   Executive Summary

2.1    Industry 3600 synopsis, 2021 - 2034

Chapter 3   Industry Insights

3.1    Industry ecosystem analysis

3.2    Supplier landscape

3.2.1    AI-based climate modelling software providers

3.2.2    Service providers

3.2.3    Distributors

3.2.4    End users

3.3    Profit margin analysis

3.4    Pricing analysis

3.5    Patent Landscape

3.6    Cost Breakdown

3.7    Technology & innovation landscape

3.8    Key news & initiatives

3.9    Regulatory landscape

3.10    Impact forces

3.10.1   Growth drivers

3.10.1.1    Increasing awareness and urgency to address climate change impacts

3.10.1.2    Technological advancements in AI, including machine learning and deep learning models

3.10.1.3    Rising investments by governments and organizations in climate resilience initiatives

3.10.1.4    Demand for predictive tools in sectors like agriculture, energy, and disaster risk management

3.10.2   Industry pitfalls & challenges

3.10.2.1    Limited availability of high-quality and comprehensive climate data, especially in developing regions

3.10.2.2    Complexity and inherent uncertainties in long-term climate predictions by AI models

3.11    Growth potential analysis

3.12    Porter’s analysis

3.13    PESTEL analysis

Chapter 4   Competitive Landscape, 2024

4.1    Introduction

4.2    Company market share analysis

4.3    Competitive positioning matrix

4.4    Strategic outlook matrix

Chapter 5   Market Estimates & Forecast, By Component, 2021 - 2034 ($Bn)

5.1    Key trends

5.2    Software

5.3    Services

Chapter 6   Market Estimates & Forecast, By Deployment Mode, 2021 - 2034 ($Bn)

6.1    Key trends

6.2    On-premises

6.3    Cloud

Chapter 7   Market Estimates & Forecast, By Technology, 2021 - 2032 ($Bn)

7.1    Key trends

7.2    Machine learning

7.3    Deep learning

7.4    Natural Language Processing (NLP)

7.5    Computer vision

7.6    Others

Chapter 8   Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

8.1    Key trends

8.2    Weather forecasting

8.3    Climate prediction

8.4    Disaster risk reduction

8.5    Environmental monitoring

8.6    Others

Chapter 9   Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn)

9.1    Key trends

9.2    North America

9.2.1    U.S.

9.2.2    Canada

9.3    Europe

9.3.1    UK

9.3.2    Germany

9.3.3    France

9.3.4    Spain

9.3.5    Italy

9.3.6    Russia

9.3.7    Nordics

9.4    Asia Pacific

9.4.1    China

9.4.2    India

9.4.3    Japan

9.4.4    South Korea

9.4.5    ANZ

9.4.6    Southeast Asia

9.5    Latin America

9.5.1    Brazil

9.5.2    Mexico

9.5.3    Argentina

9.6    MEA

9.6.1    UAE

9.6.2    South Africa

9.6.3    Saudi Arabia

Chapter 10   Company Profiles

10.1    Amazon Web Services (AWS)

10.2    Arundo Analytics

10.3    Atmos AI

10.4    Blue Sky Analytics

10.5    ClimateAi

10.6    Cloudera

10.7    DTN

10.8    Google

10.9    Hewlett Packard Enterprise (HPE)

10.10    IBM

10.11    Jupiter Intelligence

10.12    Microsoft

10.13    NVIDIA

10.14    Open Climate Fix

10.15    Oracle Corporation

10.16    SAS Institute

10.17    Spire Global

10.18    The Weather Company

10.19    Tomorrow.io

10.20    Weather Technologies

   

Authors: Preeti Wadhwani, Satyam Jaiswal

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Premium Report Details

  • Base Year: 2024
  • Companies covered: 20
  • Tables & Figures: 200
  • Countries covered: 21
  • Pages: 180
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