Asia Pacific AI In Energy Market

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

Report Id: KBV-25358 Publication Date: November-2024 Number of Pages: 128
Special Offering:
Industry Insights | Market Trends
Highest number of Tables | 24/7 Analyst Support

Analysis of Market Size & Trends

The Asia Pacific AI In Energy Market would 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 would continue to be a dominant market till 2031; thereby, achieving a market value of $4,827 million 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).

Asia Pacific AI In Energy Market

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.

Free Valuable Insights: The Global AI In Energy Market is Predict to reach USD 63.6 Billion by 2031, at a CAGR of 29.5%

Based on Type, the market is segmented into Solutions and Services. Based on Application, the market is segmented into Renewable Energy Management, Demand Forecasting, Robotics, Safety Security & Infrastructure, and Other Application. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

Need a report that reflects how COVID-19 has impacted this market and its growth? Download Free Sample Now

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.

Asia Pacific AI In Energy 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
HAVE A QUESTION?

HAVE A QUESTION?

Call: +1(646) 600-5072

SPECIAL PRICING & DISCOUNTS


  • Buy Sections of This Report
  • Buy Country Level Reports
  • Request for Historical Data
  • Discounts Available for Start-Ups & Universities

Unique Offerings Unique Offerings


  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
  • Guaranteed best price
  • Support with 10% customization free after sale

Trusted by over
5000+ clients

Our team of dedicated experts can provide you with attractive expansion opportunities for your business.

Client Logo