Global Applied AI in Energy and Utilities Market Research Report 2024

Publication ID:

PB508246950

Publication Date:

August 5, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

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 was valued at US$ 496 million in 2023 and is anticipated to reach US$ 1718 million by 2030, witnessing a CAGR of 19.2% during the forecast period 2024-2030.
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 aims to provide a comprehensive presentation of the global market for Applied AI in Energy and Utilities, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Applied AI in Energy and Utilities.
The Applied AI in Energy and Utilities market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Applied AI in Energy and Utilities market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Applied AI in Energy and Utilities companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
AAIC
AltaML Inc.
ATOS SE
CEZ Group
Google
IBM
Microsoft Corporation
MindTitan
Nvidia
SmatCloud Inc.
Utility Dive
Segment by Type
On-Premises
Cloud
Segment by Application
Energy Generation
Energy Transmission
Energy Distribution
Utilities
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Applied AI in Energy and Utilities company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Applied AI in Energy and Utilities Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 On-Premises
1.2.3 Cloud
1.3 Market by Application
1.3.1 Global Applied AI in Energy and Utilities Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Energy Generation
1.3.3 Energy Transmission
1.3.4 Energy Distribution
1.3.5 Utilities
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Applied AI in Energy and Utilities Market Perspective (2019-2030)
2.2 Global Applied AI in Energy and Utilities Growth Trends by Region
2.2.1 Global Applied AI in Energy and Utilities Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Applied AI in Energy and Utilities Historic Market Size by Region (2019-2024)
2.2.3 Applied AI in Energy and Utilities Forecasted Market Size by Region (2025-2030)
2.3 Applied AI in Energy and Utilities Market Dynamics
2.3.1 Applied AI in Energy and Utilities Industry Trends
2.3.2 Applied AI in Energy and Utilities Market Drivers
2.3.3 Applied AI in Energy and Utilities Market Challenges
2.3.4 Applied AI in Energy and Utilities Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Applied AI in Energy and Utilities Players by Revenue
3.1.1 Global Top Applied AI in Energy and Utilities Players by Revenue (2019-2024)
3.1.2 Global Applied AI in Energy and Utilities Revenue Market Share by Players (2019-2024)
3.2 Global Applied AI in Energy and Utilities Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Applied AI in Energy and Utilities Revenue
3.4 Global Applied AI in Energy and Utilities Market Concentration Ratio
3.4.1 Global Applied AI in Energy and Utilities Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Applied AI in Energy and Utilities Revenue in 2023
3.5 Global Key Players of Applied AI in Energy and Utilities Head office and Area Served
3.6 Global Key Players of Applied AI in Energy and Utilities, Product and Application
3.7 Global Key Players of Applied AI in Energy and Utilities, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Applied AI in Energy and Utilities Breakdown Data by Type
4.1 Global Applied AI in Energy and Utilities Historic Market Size by Type (2019-2024)
4.2 Global Applied AI in Energy and Utilities Forecasted Market Size by Type (2025-2030)
5 Applied AI in Energy and Utilities Breakdown Data by Application
5.1 Global Applied AI in Energy and Utilities Historic Market Size by Application (2019-2024)
5.2 Global Applied AI in Energy and Utilities Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Applied AI in Energy and Utilities Market Size (2019-2030)
6.2 North America Applied AI in Energy and Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Applied AI in Energy and Utilities Market Size by Country (2019-2024)
6.4 North America Applied AI in Energy and Utilities Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Applied AI in Energy and Utilities Market Size (2019-2030)
7.2 Europe Applied AI in Energy and Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Applied AI in Energy and Utilities Market Size by Country (2019-2024)
7.4 Europe Applied AI in Energy and Utilities Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Applied AI in Energy and Utilities Market Size (2019-2030)
8.2 Asia-Pacific Applied AI in Energy and Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Applied AI in Energy and Utilities Market Size by Region (2019-2024)
8.4 Asia-Pacific Applied AI in Energy and Utilities Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Applied AI in Energy and Utilities Market Size (2019-2030)
9.2 Latin America Applied AI in Energy and Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Applied AI in Energy and Utilities Market Size by Country (2019-2024)
9.4 Latin America Applied AI in Energy and Utilities Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Applied AI in Energy and Utilities Market Size (2019-2030)
10.2 Middle East & Africa Applied AI in Energy and Utilities Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Applied AI in Energy and Utilities Market Size by Country (2019-2024)
10.4 Middle East & Africa Applied AI in Energy and Utilities Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AAIC
11.1.1 AAIC Company Details
11.1.2 AAIC Business Overview
11.1.3 AAIC Applied AI in Energy and Utilities Introduction
11.1.4 AAIC Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.1.5 AAIC Recent Development
11.2 AltaML Inc.
11.2.1 AltaML Inc. Company Details
11.2.2 AltaML Inc. Business Overview
11.2.3 AltaML Inc. Applied AI in Energy and Utilities Introduction
11.2.4 AltaML Inc. Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.2.5 AltaML Inc. Recent Development
11.3 ATOS SE
11.3.1 ATOS SE Company Details
11.3.2 ATOS SE Business Overview
11.3.3 ATOS SE Applied AI in Energy and Utilities Introduction
11.3.4 ATOS SE Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.3.5 ATOS SE Recent Development
11.4 CEZ Group
11.4.1 CEZ Group Company Details
11.4.2 CEZ Group Business Overview
11.4.3 CEZ Group Applied AI in Energy and Utilities Introduction
11.4.4 CEZ Group Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.4.5 CEZ Group Recent Development
11.5 Google
11.5.1 Google Company Details
11.5.2 Google Business Overview
11.5.3 Google Applied AI in Energy and Utilities Introduction
11.5.4 Google Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.5.5 Google Recent Development
11.6 IBM
11.6.1 IBM Company Details
11.6.2 IBM Business Overview
11.6.3 IBM Applied AI in Energy and Utilities Introduction
11.6.4 IBM Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.6.5 IBM Recent Development
11.7 Microsoft Corporation
11.7.1 Microsoft Corporation Company Details
11.7.2 Microsoft Corporation Business Overview
11.7.3 Microsoft Corporation Applied AI in Energy and Utilities Introduction
11.7.4 Microsoft Corporation Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.7.5 Microsoft Corporation Recent Development
11.8 MindTitan
11.8.1 MindTitan Company Details
11.8.2 MindTitan Business Overview
11.8.3 MindTitan Applied AI in Energy and Utilities Introduction
11.8.4 MindTitan Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.8.5 MindTitan Recent Development
11.9 Nvidia
11.9.1 Nvidia Company Details
11.9.2 Nvidia Business Overview
11.9.3 Nvidia Applied AI in Energy and Utilities Introduction
11.9.4 Nvidia Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.9.5 Nvidia Recent Development
11.10 SmatCloud Inc.
11.10.1 SmatCloud Inc. Company Details
11.10.2 SmatCloud Inc. Business Overview
11.10.3 SmatCloud Inc. Applied AI in Energy and Utilities Introduction
11.10.4 SmatCloud Inc. Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.10.5 SmatCloud Inc. Recent Development
11.11 Utility Dive
11.11.1 Utility Dive Company Details
11.11.2 Utility Dive Business Overview
11.11.3 Utility Dive Applied AI in Energy and Utilities Introduction
11.11.4 Utility Dive Revenue in Applied AI in Energy and Utilities Business (2019-2024)
11.11.5 Utility Dive Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

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

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