Artificial Intelligence (AI) in the energy and power market is projected to witness a CAGR of 24.54% during the forecast period to reach US$17.745 billion by 2029, up from US$5.923 billion in 2024.
Artificial intelligence (AI) has been increasingly becoming a significant tool in the energy and power markets. It can automate and improve energy-related processes and provide more efficient operation at lower cost by providing better energy management. Additionally, it reduces adverse environmental impacts and fully initiates better enhancements. In energy sectors, AI is used mainly for demand forecasting.
Moreover, by analyzing the wealth of data available on consumer behavior, weather patterns, and other variables, AI systems can give a much more accurate idea of how energy is used, allowing utility companies to manage their resources better. AI is used to create more cost-effective energy production and distribution systems. For example, machine learning algorithms can analyze solar or wind energy systems data to detect patterns and predict how much power will be generated.
Additionally, AI-powered systems can monitor and analyze energy-consuming processes in buildings, identify where it is being wasted or used inefficiently, and how they can be replaced with an energy-saving solution. This has the potential to reduce greenhouse gas emissions as well as achieve capital cost savings for building owners and tenants. However, insufficient or outdated data could result in wrong AI models, leading to poor operationalization, financial loss, and safety danger. Hence, the system must be effectively dealt with for the market to grow without any hindrances.
For instance, in January 2024, Spain's Iberdrola España is teaming with BCAM on the AI Innovation Data Space project targeting grid optimization. The initiative is part of the Global Smart Grids Innovation Hub, an interoperable workspace aimed at enhancing the access and quality of grid services in terms of distribution capacity and efficiency, especially for renewable integration and economic electrification.
The U.S. Energy Information Administration reported that renewable energy generated approximately 13 percent of the entire U.S. electricity supply in 2022. Additionally, about 61% of all U.S. renewable energy consumption in 2022 was in the electric power sector, and renewables accounted for more than a fifth, i.e., 21% of U.S. electricity generation last year. Additionally, this region boasts some of the top utilities and AI technology providers, with a vertical focus on smart grid and green energy technologies, leading to regional market growth in the years ahead.
Artificial intelligence (AI) has been increasingly becoming a significant tool in the energy and power markets. It can automate and improve energy-related processes and provide more efficient operation at lower cost by providing better energy management. Additionally, it reduces adverse environmental impacts and fully initiates better enhancements. In energy sectors, AI is used mainly for demand forecasting.
Moreover, by analyzing the wealth of data available on consumer behavior, weather patterns, and other variables, AI systems can give a much more accurate idea of how energy is used, allowing utility companies to manage their resources better. AI is used to create more cost-effective energy production and distribution systems. For example, machine learning algorithms can analyze solar or wind energy systems data to detect patterns and predict how much power will be generated.
Additionally, AI-powered systems can monitor and analyze energy-consuming processes in buildings, identify where it is being wasted or used inefficiently, and how they can be replaced with an energy-saving solution. This has the potential to reduce greenhouse gas emissions as well as achieve capital cost savings for building owners and tenants. However, insufficient or outdated data could result in wrong AI models, leading to poor operationalization, financial loss, and safety danger. Hence, the system must be effectively dealt with for the market to grow without any hindrances.
ARTIFICIAL INTELLIGENCE (AI) IN ENERGY AND POWER MARKET DRIVER:
- Increasing smart grid deployment is expected to drive AI in the energy and power market growth.
For instance, in January 2024, Spain's Iberdrola España is teaming with BCAM on the AI Innovation Data Space project targeting grid optimization. The initiative is part of the Global Smart Grids Innovation Hub, an interoperable workspace aimed at enhancing the access and quality of grid services in terms of distribution capacity and efficiency, especially for renewable integration and economic electrification.
Artificial Intelligence (AI) in Energy and Power Market Geographical Outlook:
- The North American region is expected to hold a substantial market share.
The U.S. Energy Information Administration reported that renewable energy generated approximately 13 percent of the entire U.S. electricity supply in 2022. Additionally, about 61% of all U.S. renewable energy consumption in 2022 was in the electric power sector, and renewables accounted for more than a fifth, i.e., 21% of U.S. electricity generation last year. Additionally, this region boasts some of the top utilities and AI technology providers, with a vertical focus on smart grid and green energy technologies, leading to regional market growth in the years ahead.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive IntelligenceReport Coverage:
- Historical data & forecasts from 2022 to 2029
- Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
- Competitive Positioning, Strategies, and Market Share Analysis
- Revenue Growth and Forecast Assessment of segments and regions including countries
- Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)
Market Segmentation:
The Artificial Intelligence (AI) in Energy and Power Market is segmented and analyzed as below:- By Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
- By Application
- Demand Forecasting
- Energy Production and Distribution Optimization
- Energy Management
- Smart Grids
- Smart Meter
- Others
- By End-User
- Commercial and Industrial
- Residential
- By Geography
- North America
- USA
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Others
- Europe
- UK
- Germany
- France
- Spain
- Others
- Middle East and Africa
- Saudi Arabia
- Israel
- UAE
- Others
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Vietnam
- Indonesia
- Others
- North America
Table of Contents
1. INTRODUCTION
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
5. AI IN ENERGY AND POWER MARKET BY TECHNOLOGY
6. AI IN ENERGY AND POWER MARKET BY APPLICATION
7. AI IN ENERGY AND POWER MARKET BY END-USER
8. AI IN ENERGY AND POWER MARKET BY GEOGRAPHY
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
10. COMPANY PROFILES
Companies Mentioned
Some of the key companies profiled in this Artificial Intelligence (AI) in Energy and Power Market report include:- General Electric
- Siemens Energy
- Schneider Electric
- ABB Ltd.
- Honeywell International Inc.
- C3.ai Inc.
- Eaton Corporation Plc
- IBM Corporation
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 152 |
| Published | September 2024 |
| Forecast Period | 2024 - 2029 |
| Estimated Market Value ( USD | $ 5.92 billion |
| Forecasted Market Value ( USD | $ 17.75 billion |
| Compound Annual Growth Rate | 24.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 8 |
