Global AI-powered Energy Management System Market Growth (Status and Outlook) 2025-2031

The global AI-powered Energy Management System market size is predicted to grow from US$ 49.5 million in 2025 to US$ 104 million in 2031; it is expected to grow at a CAGR of 13.2% from 2025 to 2031.

An AI-Powered Energy Management System (AI-EMS) is a smart, data-driven solution that optimizes energy consumption, generation, and storage using artificial intelligence (AI), machine learning (ML), and IoT (Internet of Things) sensors. It is widely used in smart grids, industrial plants, commercial buildings, data centers, and renewable energy systems to improve energy efficiency, reduce costs, and lower carbon footprints.

United States market for AI-powered Energy Management System is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI-powered Energy Management System is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI-powered Energy Management System is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI-powered Energy Management System players cover etalytics GmbH, Stem, Inc., Tibo Energy Management Software, TERAHIVE, C3 AI, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI-powered Energy Management System Industry Forecast” looks at past sales and reviews total world AI-powered Energy Management System sales in 2024, providing a comprehensive analysis by region and market sector of projected AI-powered Energy Management System sales for 2025 through 2031. With AI-powered Energy Management System sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI-powered Energy Management System industry.

This Insight Report provides a comprehensive analysis of the global AI-powered Energy Management System landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI-powered Energy Management System portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI-powered Energy Management System market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI-powered Energy Management System and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI-powered Energy Management System.

This report presents a comprehensive overview, market shares, and growth opportunities of AI-powered Energy Management System market by product type, application, key players and key regions and countries.

Segmentation by Type:
Cloud-based
On-premises

Segmentation by Application:
Public Utilities
Enterprise
Home

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
etalytics GmbH
Stem, Inc.
Tibo Energy Management Software
TERAHIVE
C3 AI
MaintWiz
Uplight, Inc
Schneider Electric
Cygnis
Univers
Nanoprecise
EcoFlow Technology Inc
Ento Labs ApS
Lightsource bp
GridBeyond
Uplight

Please note: The report will take approximately 2 business days to prepare and deliver.