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LAMEA AI In Energy Market Size, Share & Trends Analysis Report By Type, By Application, By Country and Growth Forecast, 2024 - 2031

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    Report

  • 127 Pages
  • October 2024
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025649
The Latin America, Middle East and Africa AI In Energy Market is expected to witness market growth of 32.1% CAGR during the forecast period (2024-2031).

The Brazil market dominated the LAMEA AI In Energy Market by Country in 2023, and is expected to continue to be a dominant market till 2031; thereby, achieving a market value of $1.41 billion by 2031. The Argentina market is registering a CAGR of 33% during 2024-2031. Additionally, the UAE market is expected to showcase a CAGR of 30.9% during 2024-2031.



Collaboration between energy companies, technology providers, and research institutions is crucial to successfully adopting AI in energy market. Partnerships facilitate knowledge sharing, technological advancements, and the development of innovative solutions tailored to specific energy challenges. This collaborative approach accelerates the implementation of AI technologies and enhances their effectiveness in addressing energy-related issues.

Moreover, the increasing investment in AI technologies and infrastructure is driving the adoption of AI in the energy sector. Energy companies are allocating substantial resources to develop and implement AI solutions, recognizing the potential for improved efficiency, reduced costs, and enhanced sustainability.

The burgeoning AI sector significantly influences the expansion of AI in Brazil's energy sector. The energy sector is progressively utilizing AI-driven technologies to improve efficiency and sustainability, as Brazil is a leader in adopting AI across various industries. Integrating AI into energy systems is crucial for managing the country’s growing energy needs, particularly with Brazil’s emphasis on smart infrastructure and sustainable energy projects. Brazil's energy strategy necessitates optimizing energy infrastructure, enhancing demand forecasting, and enhancing renewable energy sources, such as solar and wind.

List of Key Companies Profiled

  • Siemens AG
  • ABB Group
  • Schneider Electric SE
  • GE Vernova Group
  • Hitachi, Ltd
  • Honeywell International Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • Microsoft Corporation
  • AutoGrid Systems, Inc.

Market Report Segmentation

By Type

  • Solutions
  • Services

By Application

  • Renewable Energy Management
  • Demand Forecasting
  • Robotics
  • Safety Security & Infrastructure
  • Other Application

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 In Energy Market, by Type
1.4.2 LAMEA AI In Energy Market, by Application
1.4.3 LAMEA AI In Energy 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
3.1.1.1 Market Composition and Scenario
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. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2023, Jul - 2024, Oct) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. LAMEA AI In Energy Market by Type
5.1 LAMEA Solutions Market by Country
5.2 LAMEA Services Market by Country
Chapter 6. LAMEA AI In Energy Market by Application
6.1 LAMEA Renewable Energy Management Market by Country
6.2 LAMEA Demand Forecasting Market by Country
6.3 LAMEA Robotics Market by Country
6.4 LAMEA Safety Security & Infrastructure Market by Country
6.5 LAMEA Other Application Market by Country
Chapter 7. LAMEA AI In Energy Market by Country
7.1 Brazil AI In Energy Market
7.1.1 Brazil AI In Energy Market by Type
7.1.2 Brazil AI In Energy Market by Application
7.2 Argentina AI In Energy Market
7.2.1 Argentina AI In Energy Market by Type
7.2.2 Argentina AI In Energy Market by Application
7.3 UAE AI In Energy Market
7.3.1 UAE AI In Energy Market by Type
7.3.2 UAE AI In Energy Market by Application
7.4 Saudi Arabia AI In Energy Market
7.4.1 Saudi Arabia AI In Energy Market by Type
7.4.2 Saudi Arabia AI In Energy Market by Application
7.5 South Africa AI In Energy Market
7.5.1 South Africa AI In Energy Market by Type
7.5.2 South Africa AI In Energy Market by Application
7.6 Nigeria AI In Energy Market
7.6.1 Nigeria AI In Energy Market by Type
7.6.2 Nigeria AI In Energy Market by Application
7.7 Rest of LAMEA AI In Energy Market
7.7.1 Rest of LAMEA AI In Energy Market by Type
7.7.2 Rest of LAMEA AI In Energy Market by Application
Chapter 8. Company Profiles
8.1 Siemens AG
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.5.3 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 ABB Group
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.6 SWOT Analysis
8.3 Schneider Electric SE
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.5.2 Product Launches and Product Expansions:
8.3.6 SWOT Analysis
8.4 GE Vernova Group
8.4.1 Company Overview
8.4.2 Recent strategies and developments:
8.4.2.1 Acquisition and Mergers:
8.4.3 SWOT Analysis
8.5 Hitachi, Ltd.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.5.2 Product Launches and Product Expansions:
8.5.6 SWOT Analysis
8.6 Honeywell International, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 Recent strategies and developments:
8.6.5.1 Partnerships, Collaborations, and Agreements:
8.6.5.2 Product Launches and Product Expansions:
8.6.6 SWOT Analysis
8.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Segmental Analysis
8.7.4 Recent strategies and developments:
8.7.4.1 Partnerships, Collaborations, and Agreements:
8.7.5 SWOT Analysis
8.8 Google LLC
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expense
8.8.5 Recent strategies and developments:
8.8.5.1 Partnerships, Collaborations, and Agreements:
8.8.6 SWOT Analysis
8.9 Microsoft Corporation
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental and Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 Recent strategies and developments:
8.9.5.1 Partnerships, Collaborations, and Agreements:
8.9.5.2 Acquisition and Mergers:
8.9.6 SWOT Analysis
8.10. AutoGrid Systems, Inc.
8.10.1 Company Overview

Companies Mentioned

  • Siemens AG
  • ABB Group
  • Schneider Electric SE
  • GE Vernova Group
  • Hitachi, Ltd
  • Honeywell International Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • Microsoft Corporation
  • AutoGrid Systems, Inc.

Methodology

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