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LAMEA AI-Based Climate Modelling Market Size, Share & Industry Analysis Report by Component, Application, Technology, Country and Growth Forecast, 2025-2032

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    Report

  • 150 Pages
  • August 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6166754
The Latin America, Middle East and Africa AI-Based Climate Modelling Market is expected to witness market growth of 22.8% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA AI-Based Climate Modelling Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $25.5 million by 2032. The Argentina market is showcasing a CAGR of 23.3% during 2025-2032. Additionally, the UAE market would resister a CAGR of 21.6% during 2025-2032. The Brazil and South Africa led the LAMEA AI-Based Climate Modelling Market by Country with a market share of 23.2% and 15% in 2024.The UAE market is expected to witness a CAGR of 21.6% during throughout the forecast period.



The LAMEA AI-based climate modeling market has grown from small pilot projects to advanced, multi-hazard platforms that deal with the region's most serious climate problems. Governments are using AI models in their plans to adapt to and reduce the effects of climate change because of more extreme weather, desertification, and rising sea levels. This is possible thanks to global frameworks and open-access environmental datasets. These improvements have made it possible to use AI in disaster preparedness, farming, water management, and city planning. Some important trends are the introduction of digital resilience packages for farmers, AI-powered flood risk systems in cities, regional partnerships for shared capacity-building, and the use of AI in renewable energy projects, especially in the Middle East.

Across LAMEA, strategic approaches stress working together, being open to everyone, and being environmentally friendly. To make sure that climate models are scientifically sound and socially useful, governments are setting up councils with many stakeholders, open data policies, and ethical AI frameworks. Investing in AI infrastructure and training programs that use renewable energy is making people more self-sufficient and less reliant on outside experts. In the area, competition is less about companies competing and more about institutions' ability to provide ethical, scalable, and localized AI solutions. Countries with good governance, computers powered by renewable energy, and good connections to climate finance mechanisms are becoming leaders. AI is becoming a key part of resilience and sustainable development in LAMEA.

Application Outlook

Based on Application, the market is segmented into Weather Forecasting, Disaster Prediction, Climate Risk Assessment, Carbon Emission Tracking, and Other Application. Among various Brazil AI-Based Climate Modelling Market by Application; The Disaster Prediction market achieved a market size of USD $4.5 Million in 2024 and is expected to grow at a CAGR of 20.5 % during the forecast period. The Carbon Emission Tracking market is predicted to experience a CAGR of 22.6% throughout the forecast period from (2025 - 2032).



Technology Outlook

Based on Technology, the market is segmented into Machine Learning, Deep Learning, Computer Vision, and Other Technology. The Machine Learning market segment dominated the UAE AI-Based Climate Modelling Market by Technology is expected to grow at a CAGR of 20.8 % during the forecast period thereby continuing its dominance until 2032. Also, The Computer Vision market is anticipated to grow as a CAGR of 22.5 % during the forecast period during 2025-2032.

Country Outlook

As Brazil deals with problems like deforestation, extreme weather, and problems with farming, its AI-based climate modeling market is growing. Strong research institutions, government programs like INPE, and strong open data policies are all helping to make new technologies that can predict rainfall, simulate ecosystems, and keep track of carbon. Working together, universities, startups, and international partners are making progress in using AI to stop wildfires, make flood maps, and predict renewable energy use. Even though there are problems like uneven digital infrastructure and limited funding, trends show that urban resilience and agriculture will move toward cloud-based platforms and deep learning. Brazil's market is likely to keep growing thanks to a mix of public research and private-sector innovation. This is because deforestation is being monitored and there is a growing need for climate risk analysis.

List of Key Companies Profiled

  • NVIDIA Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • AccuWeather, Inc.
  • ClimateAi
  • Tomorrow.io
  • The Climate Corporation
  • Jupiter Intelligence

Market Report Segmentation

By Component

  • Software
  • Services

By Application

  • Weather Forecasting
  • Disaster Prediction
  • Climate Risk Assessment
  • Carbon Emission Tracking
  • Other Application

By Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Other Technology

By Country

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA AI-Based Climate Modelling Market, by Component
1.4.2 LAMEA AI-Based Climate Modelling Market, by Application
1.4.3 LAMEA AI-Based Climate Modelling Market, by Technology
1.4.4 LAMEA AI-Based Climate Modelling Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends LAMEA AI-Based Climate Modelling MarketChapter 5. State of Competition LAMEA AI-Based Climate Modelling MarketChapter 6. PLC (Product Life Cycle) - AI-Based Climate Modelling MarketChapter 7. Market Consolidation - AI-Based Climate Modelling Market
Chapter 8. Competition Analysis - Global
8.1 The Cardinal Matrix
8.2 Recent Industry Wide Strategic Developments
8.2.1 Partnerships, Collaborations and Agreements
8.2.2 Product Launches and Product Expansions
8.3 Market Share Analysis, 2024
8.4 Top Winning Strategies
8.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
8.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2024, Mar - 2025, Jun) Leading Players
8.5 Porter Five Forces Analysis
Chapter 9. Value Chain Analysis of AI-Based Climate Modelling Market
9.1 Research & Data Acquisition
9.2 Algorithm & Model Development
9.3 Software Engineering & Platform Development
9.4 System Integration & Customization
9.5 Deployment & Implementation
9.6 Monitoring, Maintenance & Continuous Training
9.7 Policy Feedback & Impact Assessment
Chapter 10. Key Customer Criteria - AI-Based Climate Modelling Market
Chapter 11. LAMEA AI-Based Climate Modelling Market by Component
11.1 LAMEA Software Market by Country
11.2 LAMEA Services Market by Country
Chapter 12. LAMEA AI-Based Climate Modelling Market by Application
12.1 LAMEA Weather Forecasting Market by Country
12.2 LAMEA Disaster Prediction Market by Country
12.3 LAMEA Climate Risk Assessment Market by Country
12.4 LAMEA Carbon Emission Tracking Market by Country
12.5 LAMEA Other Application Market by Country
Chapter 13. LAMEA AI-Based Climate Modelling Market by Technology
13.1 LAMEA Machine Learning Market by Country
13.2 LAMEA Deep Learning Market by Country
13.3 LAMEA Computer Vision Market by Country
13.4 LAMEA Other Technology Market by Country
Chapter 14. LAMEA AI-Based Climate Modelling Market by Country
14.1 Brazil AI-Based Climate Modelling Market
14.1.1 Brazil AI-Based Climate Modelling Market by Component
14.1.2 Brazil AI-Based Climate Modelling Market by Application
14.1.3 Brazil AI-Based Climate Modelling Market by Technology
14.2 Argentina AI-Based Climate Modelling Market
14.2.1 Argentina AI-Based Climate Modelling Market by Component
14.2.2 Argentina AI-Based Climate Modelling Market by Application
14.2.3 Argentina AI-Based Climate Modelling Market by Technology
14.3 UAE AI-Based Climate Modelling Market
14.3.1 UAE AI-Based Climate Modelling Market by Component
14.3.2 UAE AI-Based Climate Modelling Market by Application
14.3.3 UAE AI-Based Climate Modelling Market by Technology
14.4 Saudi Arabia AI-Based Climate Modelling Market
14.4.1 Saudi Arabia AI-Based Climate Modelling Market by Component
14.4.2 Saudi Arabia AI-Based Climate Modelling Market by Application
14.4.3 Saudi Arabia AI-Based Climate Modelling Market by Technology
14.5 South Africa AI-Based Climate Modelling Market
14.5.1 South Africa AI-Based Climate Modelling Market by Component
14.5.2 South Africa AI-Based Climate Modelling Market by Application
14.5.3 South Africa AI-Based Climate Modelling Market by Technology
14.6 Nigeria AI-Based Climate Modelling Market
14.6.1 Nigeria AI-Based Climate Modelling Market by Component
14.6.2 Nigeria AI-Based Climate Modelling Market by Application
14.6.3 Nigeria AI-Based Climate Modelling Market by Technology
14.7 Rest of LAMEA AI-Based Climate Modelling Market
14.7.1 Rest of LAMEA AI-Based Climate Modelling Market by Component
14.7.2 Rest of LAMEA AI-Based Climate Modelling Market by Application
14.7.3 Rest of LAMEA AI-Based Climate Modelling Market by Technology
Chapter 15. Company Profiles
15.1 NVIDIA Corporation
15.1.1 Company Overview
15.1.2 Financial Analysis
15.1.3 Segmental and Regional Analysis
15.1.4 Research & Development Expenses
15.1.5 Recent Strategies and Developments
15.1.5.1 Partnerships, Collaborations, and Agreements
15.1.5.2 Product Launches and Product Expansions
15.1.6 SWOT Analysis
15.2 IBM Corporation
15.2.1 Company Overview
15.2.2 Financial Analysis
15.2.3 Regional & Segmental Analysis
15.2.4 Research & Development Expenses
15.2.5 SWOT Analysis
15.3 Microsoft Corporation
15.3.1 Company Overview
15.3.2 Financial Analysis
15.3.3 Segmental and Regional Analysis
15.3.4 Research & Development Expenses
15.3.5 Recent Strategies and Developments
15.3.5.1 Partnerships, Collaborations, and Agreements
15.3.5.2 Product Launches and Product Expansions
15.3.6 SWOT Analysis
15.4 Google LLC
15.4.1 Company Overview
15.4.2 Financial Analysis
15.4.3 Segmental and Regional Analysis
15.4.4 Research & Development Expenses
15.4.5 Recent Strategies and Developments
15.4.5.1 Product Launches and Product Expansions
15.4.6 SWOT Analysis
15.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
15.5.1 Company Overview
15.5.2 Financial Analysis
15.5.3 Segmental and Regional Analysis
15.5.4 SWOT Analysis
15.6 AccuWeather, Inc.
15.6.1 Company Overview
15.7 ClimateAi
15.7.1 Company Overview
15.7.2 Recent Strategies and Developments
15.7.2.1 Product Launches and Product Expansions
15.8 Tomorrow.io
15.8.1 Company Overview
15.8.2 Recent Strategies and Developments
15.8.2.1 Partnerships, Collaborations, and Agreements
15.9 The Climate Corporation (Bayer AG)
15.9.1 Company Overview
15.9.2 Financial Analysis
15.9.3 Segmental and Regional Analysis
15.9.4 Research & Development Expense
15.10. Jupiter Intelligence
15.10.1 Company Overview
15.10.2 Recent Strategies and Developments
15.10.2.1 Product Launches and Product Expansions

Companies Mentioned

  • NVIDIA Corporation
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • AccuWeather, Inc.
  • ClimateAi
  • Tomorrow.io
  • The Climate Corporation
  • Jupiter Intelligence