에너지용 AI 시장 : 컴포넌트 유형별, 용도별, 최종사용자별, 도입 유형별 - 세계 기회 분석 및 산업 예측(2021-2031년)

The global ai in energy market was valued at $4.0 billion in 2021, and is projected to reach $19.8 billion by 2031, growing at a CAGR of 17.4% from 2022 to 2031.

Artificial Intelligence is defined as the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The three fundamental AI concepts are machine learning, deep learning, and neural networks.

The artificial intelligence in energy market is segmented on the basis of component type, deployment type, application, end user, and region. On the basis of component type, it is bifurcated into solutions and services. By deployment type, the market is categorized into on-premise and cloud. On the basis of application, the market is classified into robotics, renewables management, demand forecasting, safety & security, infrastructure, and others. On the basis of end user, it is divided into energy transmission, energy generation, energy distribution, and utilities. Region-wise, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.

The global artificial intelligence in energy market profiles leading players that include, ABB ltd., Accenture plc, Amazon Web Services Inc., Autogrid Systems, Inc., C3.ai, Centrica plc, Cisco Systems Inc., General Electric, HCL Technologies, Huawei Technologies Co., Ltd., IBM Corporation, Intel Corporation, Mitsubishi Electric and Schneider Electric, and Senseye. The global artificial intelligence in energy market report provides in-depth competitive analysis as well as profiles of these major players.

The growth drivers, restraints, and opportunities are explained in the report to better understand the market dynamics. This report further highlights the key areas of investments. In addition, it includes Porter's five forces analysis to understand the competitive scenario of the industry and role of each stakeholder. The report features strategies adopted by key market players to maintain their foothold in the market. Furthermore, it highlights the competitive landscape of key players to increase their market share and sustain intense competition in the industry.

Key Benefits For Stakeholders

• This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in energy market analysis from 2021 to 2031 to identify the prevailing ai in energy market opportunities.
• The market research is offered along with information related to key drivers, restraints, and opportunities.
• Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
• In-depth analysis of the ai in energy market segmentation assists to determine the prevailing market opportunities.
• Major countries in each region are mapped according to their revenue contribution to the global market.
• Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
• The report includes the analysis of the regional as well as global ai in energy market trends, key players, market segments, application areas, and market growth strategies.

Key Market Segments

By Component type

• Solutions
• Services

By Application

• Robotics
• Renewables Management
• Demand Forecasting
• Safety and Security
• Infrastructure
• Others

By End user

• Energy Transmission
• Energy Generation
• Energy Distribution
• Utilities

By Deployment Type

• On-premise
• Cloud

By Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • Italy
  • UK
  • Spain
  • France
  • Rest of Europe
• Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia-Pacific
• LAMEA
  • Brazil
  • Saudi Arabia
  • South Africa
  • Rest of LAMEA
• Key Market Players
  • Alpiq AG
  • SmartCloud Inc.
  • General Electric
  • Siemens AG
  • Hazama Ando Corporation
  • ATOS SE
  • AppOrchid Inc
  • Zen Robotics Ltd
  • Schneider Electric
  • ABB

TABLE OF CONTENTS

CHAPTER 1:INTRODUCTION

• 1.1.Report description
• 1.2.Key market segments
• 1.3.Key benefits to the stakeholders
• 1.4.Research Methodology
  • 1.4.1.Secondary research
  • 1.4.2.Primary research
  • 1.4.3.Analyst tools and models

CHAPTER 2:EXECUTIVE SUMMARY

• 2.1.Key findings of the study
• 2.2.CXO Perspective

CHAPTER 3:MARKET OVERVIEW

• 3.1.Market definition and scope
• 3.2.Key findings
  • 3.2.1.Top investment pockets
• 3.3.Porter's five forces analysis
• 3.4.Top player positioning
• 3.5.Market dynamics
  • 3.5.1.Drivers
  • 3.5.2.Restraints
  • 3.5.3.Opportunities
• 3.6.COVID-19 Impact Analysis on the market

CHAPTER 4: AI IN ENERGY MARKET, BY COMPONENT TYPE

• 4.1 Overview
  • 4.1.1 Market size and forecast
• 4.2 Solutions
  • 4.2.1 Key market trends, growth factors and opportunities
  • 4.2.2 Market size and forecast, by region
  • 4.2.3 Market analysis by country
• 4.3 Services
  • 4.3.1 Key market trends, growth factors and opportunities
  • 4.3.2 Market size and forecast, by region
  • 4.3.3 Market analysis by country

CHAPTER 5: AI IN ENERGY MARKET, BY APPLICATION

• 5.1 Overview
  • 5.1.1 Market size and forecast
• 5.2 Robotics
  • 5.2.1 Key market trends, growth factors and opportunities
  • 5.2.2 Market size and forecast, by region
  • 5.2.3 Market analysis by country
• 5.3 Renewables Management
  • 5.3.1 Key market trends, growth factors and opportunities
  • 5.3.2 Market size and forecast, by region
  • 5.3.3 Market analysis by country
• 5.4 Demand Forecasting
  • 5.4.1 Key market trends, growth factors and opportunities
  • 5.4.2 Market size and forecast, by region
  • 5.4.3 Market analysis by country
• 5.5 Safety and Security
  • 5.5.1 Key market trends, growth factors and opportunities
  • 5.5.2 Market size and forecast, by region
  • 5.5.3 Market analysis by country
• 5.6 Infrastructure
  • 5.6.1 Key market trends, growth factors and opportunities
  • 5.6.2 Market size and forecast, by region
  • 5.6.3 Market analysis by country
• 5.7 Others
  • 5.7.1 Key market trends, growth factors and opportunities
  • 5.7.2 Market size and forecast, by region
  • 5.7.3 Market analysis by country

CHAPTER 6: AI IN ENERGY MARKET, BY END USER

• 6.1 Overview
  • 6.1.1 Market size and forecast
• 6.2 Energy Transmission
  • 6.2.1 Key market trends, growth factors and opportunities
  • 6.2.2 Market size and forecast, by region
  • 6.2.3 Market analysis by country
• 6.3 Energy Generation
  • 6.3.1 Key market trends, growth factors and opportunities
  • 6.3.2 Market size and forecast, by region
  • 6.3.3 Market analysis by country
• 6.4 Energy Distribution
  • 6.4.1 Key market trends, growth factors and opportunities
  • 6.4.2 Market size and forecast, by region
  • 6.4.3 Market analysis by country
• 6.5 Utilities
  • 6.5.1 Key market trends, growth factors and opportunities
  • 6.5.2 Market size and forecast, by region
  • 6.5.3 Market analysis by country

CHAPTER 7: AI IN ENERGY MARKET, BY DEPLOYMENT TYPE

• 7.1 Overview
  • 7.1.1 Market size and forecast
• 7.2 On-premise
  • 7.2.1 Key market trends, growth factors and opportunities
  • 7.2.2 Market size and forecast, by region
  • 7.2.3 Market analysis by country
• 7.3 Cloud
  • 7.3.1 Key market trends, growth factors and opportunities
  • 7.3.2 Market size and forecast, by region
  • 7.3.3 Market analysis by country

CHAPTER 8: AI IN ENERGY MARKET, BY REGION

• 8.1 Overview
  • 8.1.1 Market size and forecast
• 8.2 North America
  • 8.2.1 Key trends and opportunities
  • 8.2.2 North America Market size and forecast, by Component type
  • 8.2.3 North America Market size and forecast, by Application
  • 8.2.4 North America Market size and forecast, by End user
  • 8.2.5 North America Market size and forecast, by Deployment Type
  • 8.2.6 North America Market size and forecast, by country
    • 8.2.6.1 U.S.
    • 8.2.6.1.1 Market size and forecast, by Component type
    • 8.2.6.1.2 Market size and forecast, by Application
    • 8.2.6.1.3 Market size and forecast, by End user
    • 8.2.6.1.4 Market size and forecast, by Deployment Type
    • 8.2.6.2 Canada
    • 8.2.6.2.1 Market size and forecast, by Component type
    • 8.2.6.2.2 Market size and forecast, by Application
    • 8.2.6.2.3 Market size and forecast, by End user
    • 8.2.6.2.4 Market size and forecast, by Deployment Type
    • 8.2.6.3 Mexico
    • 8.2.6.3.1 Market size and forecast, by Component type
    • 8.2.6.3.2 Market size and forecast, by Application
    • 8.2.6.3.3 Market size and forecast, by End user
    • 8.2.6.3.4 Market size and forecast, by Deployment Type
• 8.3 Europe
  • 8.3.1 Key trends and opportunities
  • 8.3.2 Europe Market size and forecast, by Component type
  • 8.3.3 Europe Market size and forecast, by Application
  • 8.3.4 Europe Market size and forecast, by End user
  • 8.3.5 Europe Market size and forecast, by Deployment Type
  • 8.3.6 Europe Market size and forecast, by country
    • 8.3.6.1 Germany
    • 8.3.6.1.1 Market size and forecast, by Component type
    • 8.3.6.1.2 Market size and forecast, by Application
    • 8.3.6.1.3 Market size and forecast, by End user
    • 8.3.6.1.4 Market size and forecast, by Deployment Type
    • 8.3.6.2 Italy
    • 8.3.6.2.1 Market size and forecast, by Component type
    • 8.3.6.2.2 Market size and forecast, by Application
    • 8.3.6.2.3 Market size and forecast, by End user
    • 8.3.6.2.4 Market size and forecast, by Deployment Type
    • 8.3.6.3 UK
    • 8.3.6.3.1 Market size and forecast, by Component type
    • 8.3.6.3.2 Market size and forecast, by Application
    • 8.3.6.3.3 Market size and forecast, by End user
    • 8.3.6.3.4 Market size and forecast, by Deployment Type
    • 8.3.6.4 Spain
    • 8.3.6.4.1 Market size and forecast, by Component type
    • 8.3.6.4.2 Market size and forecast, by Application
    • 8.3.6.4.3 Market size and forecast, by End user
    • 8.3.6.4.4 Market size and forecast, by Deployment Type
    • 8.3.6.5 France
    • 8.3.6.5.1 Market size and forecast, by Component type
    • 8.3.6.5.2 Market size and forecast, by Application
    • 8.3.6.5.3 Market size and forecast, by End user
    • 8.3.6.5.4 Market size and forecast, by Deployment Type
    • 8.3.6.6 Rest of Europe
    • 8.3.6.6.1 Market size and forecast, by Component type
    • 8.3.6.6.2 Market size and forecast, by Application
    • 8.3.6.6.3 Market size and forecast, by End user
    • 8.3.6.6.4 Market size and forecast, by Deployment Type
• 8.4 Asia-Pacific
  • 8.4.1 Key trends and opportunities
  • 8.4.2 Asia-Pacific Market size and forecast, by Component type
  • 8.4.3 Asia-Pacific Market size and forecast, by Application
  • 8.4.4 Asia-Pacific Market size and forecast, by End user
  • 8.4.5 Asia-Pacific Market size and forecast, by Deployment Type
  • 8.4.6 Asia-Pacific Market size and forecast, by country
    • 8.4.6.1 China
    • 8.4.6.1.1 Market size and forecast, by Component type
    • 8.4.6.1.2 Market size and forecast, by Application
    • 8.4.6.1.3 Market size and forecast, by End user
    • 8.4.6.1.4 Market size and forecast, by Deployment Type
    • 8.4.6.2 Japan
    • 8.4.6.2.1 Market size and forecast, by Component type
    • 8.4.6.2.2 Market size and forecast, by Application
    • 8.4.6.2.3 Market size and forecast, by End user
    • 8.4.6.2.4 Market size and forecast, by Deployment Type
    • 8.4.6.3 India
    • 8.4.6.3.1 Market size and forecast, by Component type
    • 8.4.6.3.2 Market size and forecast, by Application
    • 8.4.6.3.3 Market size and forecast, by End user
    • 8.4.6.3.4 Market size and forecast, by Deployment Type
    • 8.4.6.4 South Korea
    • 8.4.6.4.1 Market size and forecast, by Component type
    • 8.4.6.4.2 Market size and forecast, by Application
    • 8.4.6.4.3 Market size and forecast, by End user
    • 8.4.6.4.4 Market size and forecast, by Deployment Type
    • 8.4.6.5 Australia
    • 8.4.6.5.1 Market size and forecast, by Component type
    • 8.4.6.5.2 Market size and forecast, by Application
    • 8.4.6.5.3 Market size and forecast, by End user
    • 8.4.6.5.4 Market size and forecast, by Deployment Type
    • 8.4.6.6 Rest of Asia-Pacific
    • 8.4.6.6.1 Market size and forecast, by Component type
    • 8.4.6.6.2 Market size and forecast, by Application
    • 8.4.6.6.3 Market size and forecast, by End user
    • 8.4.6.6.4 Market size and forecast, by Deployment Type
• 8.5 LAMEA
  • 8.5.1 Key trends and opportunities
  • 8.5.2 LAMEA Market size and forecast, by Component type
  • 8.5.3 LAMEA Market size and forecast, by Application
  • 8.5.4 LAMEA Market size and forecast, by End user
  • 8.5.5 LAMEA Market size and forecast, by Deployment Type
  • 8.5.6 LAMEA Market size and forecast, by country
    • 8.5.6.1 Brazil
    • 8.5.6.1.1 Market size and forecast, by Component type
    • 8.5.6.1.2 Market size and forecast, by Application
    • 8.5.6.1.3 Market size and forecast, by End user
    • 8.5.6.1.4 Market size and forecast, by Deployment Type
    • 8.5.6.2 Saudi Arabia
    • 8.5.6.2.1 Market size and forecast, by Component type
    • 8.5.6.2.2 Market size and forecast, by Application
    • 8.5.6.2.3 Market size and forecast, by End user
    • 8.5.6.2.4 Market size and forecast, by Deployment Type
    • 8.5.6.3 South Africa
    • 8.5.6.3.1 Market size and forecast, by Component type
    • 8.5.6.3.2 Market size and forecast, by Application
    • 8.5.6.3.3 Market size and forecast, by End user
    • 8.5.6.3.4 Market size and forecast, by Deployment Type
    • 8.5.6.4 Rest of LAMEA
    • 8.5.6.4.1 Market size and forecast, by Component type
    • 8.5.6.4.2 Market size and forecast, by Application
    • 8.5.6.4.3 Market size and forecast, by End user
    • 8.5.6.4.4 Market size and forecast, by Deployment Type

CHAPTER 9: COMPANY LANDSCAPE

• 9.1. Introduction
• 9.2. Top winning strategies
• 9.3. Product Mapping of Top 10 Player
• 9.4. Competitive Dashboard
• 9.5. Competitive Heatmap
• 9.6. Key developments

CHAPTER 10: COMPANY PROFILES

• 10.1 Alpiq AG
  • 10.1.1 Company overview
  • 10.1.2 Company snapshot
  • 10.1.3 Operating business segments
  • 10.1.4 Product portfolio
  • 10.1.5 Business performance
  • 10.1.6 Key strategic moves and developments
• 10.2 SmartCloud Inc.
  • 10.2.1 Company overview
  • 10.2.2 Company snapshot
  • 10.2.3 Operating business segments
  • 10.2.4 Product portfolio
  • 10.2.5 Business performance
  • 10.2.6 Key strategic moves and developments
• 10.3 General Electric
  • 10.3.1 Company overview
  • 10.3.2 Company snapshot
  • 10.3.3 Operating business segments
  • 10.3.4 Product portfolio
  • 10.3.5 Business performance
  • 10.3.6 Key strategic moves and developments
• 10.4 Siemens AG
  • 10.4.1 Company overview
  • 10.4.2 Company snapshot
  • 10.4.3 Operating business segments
  • 10.4.4 Product portfolio
  • 10.4.5 Business performance
  • 10.4.6 Key strategic moves and developments
• 10.5 Hazama Ando Corporation
  • 10.5.1 Company overview
  • 10.5.2 Company snapshot
  • 10.5.3 Operating business segments
  • 10.5.4 Product portfolio
  • 10.5.5 Business performance
  • 10.5.6 Key strategic moves and developments
• 10.6 ATOS SE
  • 10.6.1 Company overview
  • 10.6.2 Company snapshot
  • 10.6.3 Operating business segments
  • 10.6.4 Product portfolio
  • 10.6.5 Business performance
  • 10.6.6 Key strategic moves and developments
• 10.7 AppOrchid Inc
  • 10.7.1 Company overview
  • 10.7.2 Company snapshot
  • 10.7.3 Operating business segments
  • 10.7.4 Product portfolio
  • 10.7.5 Business performance
  • 10.7.6 Key strategic moves and developments
• 10.8 Zen Robotics Ltd
  • 10.8.1 Company overview
  • 10.8.2 Company snapshot
  • 10.8.3 Operating business segments
  • 10.8.4 Product portfolio
  • 10.8.5 Business performance
  • 10.8.6 Key strategic moves and developments
• 10.9 Schneider Electric
  • 10.9.1 Company overview
  • 10.9.2 Company snapshot
  • 10.9.3 Operating business segments
  • 10.9.4 Product portfolio
  • 10.9.5 Business performance
  • 10.9.6 Key strategic moves and developments
• 10.10 ABB
  • 10.10.1 Company overview
  • 10.10.2 Company snapshot
  • 10.10.3 Operating business segments
  • 10.10.4 Product portfolio
  • 10.10.5 Business performance
  • 10.10.6 Key strategic moves and developments