+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

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

  • PDF Icon

    Report

  • 128 Pages
  • October 2024
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6025742
The Asia Pacific AI In Energy Market is expected to witness market growth of 30.5% CAGR during the forecast period (2024-2031).

The China market dominated the Asia Pacific 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 $4.82 billion by 2031. The Japan market is showcasing a CAGR of 29.7% during 2024-2031. Additionally, the India market would register a CAGR of 31.5% during 2024-2031.



Accurate demand forecasting is essential for maintaining a stable energy supply. AI-driven analytics can process historical consumption patterns, demographic data, and economic indicators to predict future energy demand precisely. This capability allows energy providers to optimize load management strategies, ensuring supply aligns with demand fluctuations. Utilities can reduce energy waste, minimize operational costs, and improve customer satisfaction by leveraging AI.

Moreover, AI technologies can enhance energy efficiency across residential, commercial, and industrial sectors. Smart buildings with AI-based energy management systems can analyze occupancy patterns, temperature settings, and equipment usage to optimize energy consumption.

India’s focus on Public-Private Partnerships (PPP) for smart city projects fosters the adoption of advanced AI technologies in the energy sector. With 180 PPP projects worth ₹8,228 crore already completed and another 27 in progress, there is a clear push toward integrating AI to enhance the energy efficiency of smart grids, renewable energy systems, and urban infrastructure. AI-driven energy management systems help monitor and control energy distribution, predict consumption patterns, and optimize the performance of renewable energy sources, making it possible for India’s smart cities to function more sustainably.

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

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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 Asia Pacific AI In Energy Market, by Type
1.4.2 Asia Pacific AI In Energy Market, by Application
1.4.3 Asia Pacific 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. Asia Pacific AI In Energy Market by Type
5.1 Asia Pacific Solutions Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific AI In Energy Market by Application
6.1 Asia Pacific Renewable Energy Management Market by Country
6.2 Asia Pacific Demand Forecasting Market by Country
6.3 Asia Pacific Robotics Market by Country
6.4 Asia Pacific Safety Security & Infrastructure Market by Country
6.5 Asia Pacific Other Application Market by Country
Chapter 7. Asia Pacific AI In Energy Market by Country
7.1 China AI In Energy Market
7.1.1 China AI In Energy Market by Type
7.1.2 China AI In Energy Market by Application
7.2 Japan AI In Energy Market
7.2.1 Japan AI In Energy Market by Type
7.2.2 Japan AI In Energy Market by Application
7.3 India AI In Energy Market
7.3.1 India AI In Energy Market by Type
7.3.2 India AI In Energy Market by Application
7.4 South Korea AI In Energy Market
7.4.1 South Korea AI In Energy Market by Type
7.4.2 South Korea AI In Energy Market by Application
7.5 Singapore AI In Energy Market
7.5.1 Singapore AI In Energy Market by Type
7.5.2 Singapore AI In Energy Market by Application
7.6 Malaysia AI In Energy Market
7.6.1 Malaysia AI In Energy Market by Type
7.6.2 Malaysia AI In Energy Market by Application
7.7 Rest of Asia Pacific AI In Energy Market
7.7.1 Rest of Asia Pacific AI In Energy Market by Type
7.7.2 Rest of Asia Pacific 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

Loading
LOADING...