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.
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
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific AI In Energy Market by Type
Chapter 6. Asia Pacific AI In Energy Market by Application
Chapter 7. Asia Pacific AI In Energy Market by Country
Chapter 8. Company Profiles
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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