에너지 및 전력 분야 인공지능(AI) 시장 : 예측(2024-2029년)

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 However, insufficient or outdated data could result in wrong AI models, leading to poor operationalization, financial loss, and safety danger.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.

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.

One of the prominent applications is smart grids, where AI is employed in the energy and power sectors. Smart grids use advanced sensors, communication technologies, and automation systems while providing electricity to ensure an efficient delivery of these services. Comparing large volumes of data in real-time as they come to a decision helps the utility make decisions better with AI, which is applied for smoother execution and performance improvement.

For instance, in January 2024, Spain's Iberdrola Espana 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.

North America is expected to experience one of the fastest growth rates in the AI energy and power market due to high incremental changes in renewable energy adoption and smart grid technologies dominantly across countries such as the United States. The growth in the use of renewable energy sources by the United States government has facilitated an increase in AI applications across its power and energy industry.

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.

Reasons for buying this report:-

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report 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

TABLE OF CONTENTS

1. INTRODUCTION

• 1.1. Market Overview
• 1.2. Market Definition
• 1.3. Scope of the Study
• 1.4. Market Segmentation
• 1.5. Currency
• 1.6. Assumptions
• 1.7. Base and Forecast Years Timeline
• 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

• 2.1. Research Design
• 2.2. Research Process

3. EXECUTIVE SUMMARY

• 3.1. Key Findings

4. MARKET DYNAMICS

• 4.1. Market Drivers
• 4.2. Market Restraints
• 4.3. Porter's Five Forces Analysis
  • 4.3.1. Bargaining Power of Suppliers
  • 4.3.2. Bargaining Power of Buyers
  • 4.3.3. Threat of New Entrants
  • 4.3.4. Threat of Substitutes
  • 4.3.5. Competitive Rivalry in the Industry
• 4.4. Industry Value Chain Analysis
• 4.5. Analyst View

5. AI IN ENERGY AND POWER MARKET BY TECHNOLOGY

• 5.1. Introduction
• 5.2. Machine Learning
• 5.3. Natural Language Processing
• 5.4. Computer Vision
• 5.5. Others

6. AI IN ENERGY AND POWER MARKET BY APPLICATION

• 6.1. Introduction
• 6.2. Demand Forecasting
• 6.3. Energy Production and Distribution Optimization
• 6.4. Energy Management
• 6.5. Smart Grids
• 6.6. Smart Meter
• 6.7. Others

7. AI IN ENERGY AND POWER MARKET BY END-USER

• 7.1. Introduction
• 7.2. Commercial and Industrial
• 7.3. Residential

8. AI IN ENERGY AND POWER MARKET BY GEOGRAPHY

• 8.1. Introduction
• 8.2. North America
  • 8.2.1. By Technology
  • 8.2.2. By Application
  • 8.2.3. End-User
  • 8.2.4. By Country
    • 8.2.4.1. USA
    • 8.2.4.2. Canada
    • 8.2.4.3. Mexico
• 8.3. South America
  • 8.3.1. By Technology
  • 8.3.2. By Application
  • 8.3.3. End-User
  • 8.3.4. By Country
    • 8.3.4.1. Brazil
    • 8.3.4.2. Argentina
    • 8.3.4.3. Others
• 8.4. Europe
  • 8.4.1. By Technology
  • 8.4.2. By Application
  • 8.4.3. End-User
  • 8.4.4. By Country
    • 8.4.4.1. UK
    • 8.4.4.2. Germany
    • 8.4.4.3. France
    • 8.4.4.4. Spain
    • 8.4.4.5. Others
• 8.5. Middle East and Africa
  • 8.5.1. By Technology
  • 8.5.2. By Application
  • 8.5.3. End-User
  • 8.5.4. By Country
    • 8.5.4.1. Saudi Arabia
    • 8.5.4.2. Israel
    • 8.5.4.3. UAE
    • 8.5.4.4. Others
• 8.6. Asia Pacific
  • 8.6.1. By Technology
  • 8.6.2. By Application
  • 8.6.3. End-User
  • 8.6.4. By Country
    • 8.6.4.1. China
    • 8.6.4.2. Japan
    • 8.6.4.3. India
    • 8.6.4.4. South Korea
    • 8.6.4.5. Australia
    • 8.6.4.6. Vietnam
    • 8.6.4.7. Indonesia
    • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

• 9.1. Major Players and Strategy Analysis
• 9.2. Market Share Analysis
• 9.3. Mergers, Acquisitions, Agreements, and Collaborations
• 9.4. Competitive Dashboard

10. COMPANY PROFILES

• 10.1. General Electric
• 10.2. Siemens Energy
• 10.3. Schneider Electric
• 10.4. ABB Ltd.
• 10.5. Honeywell International Inc.
• 10.6. C3.ai Inc.
• 10.7. Eaton Corporation Plc
• 10.8. IBM Corporation