Global Applied AI in Energy and Utilities Market Growth (Status and Outlook) 2024-2030

Global Applied AI in Energy and Utilities Market Growth (Status and Outlook) 2024-2030

Artificial Intelligence (AI) is reshaping the energy and utilities market by enhancing efficiency, sustainability, and reliability. AI applications are wide-ranging, offering transformative benefits. AI optimizes grid operations, improving energy demand forecasting and infrastructure reliability. It also fine-tunes building energy management through sensor data analysis. Additionally, AI aids in energy trading, grid security, and customer service, making the entire energy ecosystem more efficient. AI's influence extends to smart grids, sector coupling, and electric vehicle integration. It streamlines grid management in the face of decentralized energy sources, supports intelligent power generation and consumption coordination, and enhances grid stability. In the realm of electricity trading, AI-driven forecasts boost grid stability and renewables integration, and recent developments have shown its potential in reducing control reserve demand.

The global Applied AI in Energy and Utilities market size is projected to grow from US$ 587 million in 2024 to US$ 1742 million in 2030; it is expected to grow at a CAGR of 19.9% from 2024 to 2030.

LPI (LP Information)' newest research report, the “Applied AI in Energy and Utilities Industry Forecast” looks at past sales and reviews total world Applied AI in Energy and Utilities sales in 2022, providing a comprehensive analysis by region and market sector of projected Applied AI in Energy and Utilities sales for 2023 through 2029. With Applied AI in Energy and Utilities sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Applied AI in Energy and Utilities industry.

This Insight Report provides a comprehensive analysis of the global Applied AI in Energy and Utilities 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 Applied AI in Energy and Utilities portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Applied AI in Energy and Utilities market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Applied AI in Energy and Utilities 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 Applied AI in Energy and Utilities.

The rapid expansion and substantial investments in the smart city landscape are significantly influencing the growth of applied AI in the energy and utilities market. This evolution is particularly pronounced in three core sectors: communications, energy, and transportation, which are receiving heightened attention, increased funding, and intensified research and development efforts. These endeavors are aimed at delivering highly efficient solutions and enhancing the overall well-being of urban residents. The global smart cities market is predicted to reach approximately US$ 1.38 trillion by 2030, a substantial rise from its 2019 valuation of US$ 392.9 billion. Furthermore, approximately two-thirds of cities worldwide have already channeled investments into smart city technologies, and this trend is poised to persist, with a projected CAGR of 49.20% between 2022 and 2027. The movement of people towards urban centers stands as another driving force behind the advancement of smart cities, with the current urban population comprising 55% of the global populace, predicted to ascend to 68% by 2050. This urban migration is propelled by the allure of enhanced digital technologies, which attract both businesses and residents, thereby fostering economic expansion.

This report presents a comprehensive overview, market shares, and growth opportunities of Applied AI in Energy and Utilities market by product type, application, key players and key regions and countries.

Segmentation by Type:
On-Premises
Cloud

Segmentation by Application:
Energy Generation
Energy Transmission
Energy Distribution
Utilities
Others

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

Segmentation by Type:
On-Premises
Cloud

Segmentation by Application:
Energy Generation
Energy Transmission
Energy Distribution
Utilities
Others

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.
AAIC
AltaML Inc.
ATOS SE
CEZ Group
Google
IBM
Microsoft Corporation
MindTitan
Nvidia
SmatCloud Inc.
Utility Dive

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