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2022
Ai In Energy Market

AI in Energy Market

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): Global Opportunity Analysis and Industry Forecast, 2021-2031

Report Code: A12587
Oct 2022 | Pages: 291
Tables: 180
Charts: 83
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AI In Energy Market Research, 2031

The global artificial intelligence (AI) in energy market size 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.

The developed and developing nations are adopting artificial intelligence in energy sector and are highly contributing towards the growth of the market during the forecast period. Measuring greenhouse gas emissions with AI enabled drones, accelerating energy transition and optimizing geothermal energy are the strategies being adopted by major players that are operating in the artificial intelligence in the energy market which may enhance the market position and boost the growth of the market over the forthcoming years.

Artificial intelligence (AI) is an extent of computer technology that emphasizes the formation of intelligent machines which works and reacts such as humans. In addition, considering advanced technologies, it creates significant changes and effects of AI technology in the energy and utility market that can be seen in their applications such as smart automated grid and energy distribution system.

AI in Energy Market

Smart grids transport data in addition to power. Effectively balancing consumption and generation is crucial when dealing with intermittent and unstable sources such as solar and wind. One of the expectations for artificial intelligence applied to the energy sector is that it can help with climate change, emission-reduction effects of technological progresses in industry, energy balances, and environmental impact. One of the most fundamental uses is that machine learning (or automatic learning, a crucial component of artificial intelligence) enables in improving the efficiency of generation systems, design technologies, and the production of energy-efficient products.

During the forecast period, it is anticipated that the rapid modernization of energy in developing nations would increase the use of AI solutions in energy systems. During the forecast period, it is anticipated that the high cost of AI solution deployment in the energy sector is expected to impact the AI in energy market growth It is anticipated that a lack of technological expertise within the energy industry employees in developing nations will hamper market expansion.

The artificial intelligence in energy market forecast is segmented on the basis of component type, deployment type, application, end user, and region. On the basis of component type, it is classified into solutions and services. By deployment type, the market is categorized into on-premise and cloud. On the basis of application, the market is fragmented 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 analysis 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.

AI in Energy Market

By component type, the services segment was the highest artificial intelligence in energy market share, at a significant CAGR of 17.7% during the forecast period.AI services also support the integration of AI solutions into core business functions and processes. For instance, AI for marketing, helping companies get more out of their marketing spend using data; AI for processing, helping companies process information or data more efficiently; and AI for customer engagement, improving customer service for companies with tools such as AI chatbots

AI in Energy Market

By deployment type, the cloud segment was the highest revenue contributor to the market with a CAGR of 17.6%. the energy industry is increasingly adopting cloud-based AI technologies to improve the capabilities of current systems. Furthermore, the emergence of AI-as-a-service (AIaaS) is trending among numerous industries users of AI, as it allows individuals and businesses to access AI for various applications without large initial investment and with a lesser risk of failure.

AI in Energy Market

By application, the safety and security segment is the highest revenue contributor to the market,with a CAGR of 18.0%. AI and the appropriate sensors can be helpful to monitor equipment and discover faults before they happen in a sector where equipment failure is widespread and can have serious implications.

AI in Energy Market

By end user, the utility segment was the highest revenue contributor to the market,with a CAGR of 17.9%. AI facilitates Energy & Utility companies in the prediction of the market price of electricity/gas, proper planning and scheduling, enabling optimization of the energy price, creating a smart warehouse, maintenance of inventories, managing shipping operations for replacing assets, risk hedging, and improved delivery times & reduction in overall costs.

AI in Energy Market

By region, Asia-Pacific is the fastest-growing segment during the forecast period. This was attributed to China, India, Japan, and South Korea are likely to provide lucrative opportunities for AI vendors in the Asia-Pacific market as there is a massive market from various industry verticals such as automotive & transportation, consumer electronics & appliances among others.

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.

AI in Energy Market Report Highlights

Aspects Details
Market Size By 2031 USD 19.8 billion
Growth Rate CAGR of 17.4%
Forecast period 2021 - 2031
Report Pages 291
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 ABB, SmartCloud Inc., Hazama Ando Corporation, General Electric, Schneider Electric, AppOrchid Inc, ATOS SE, Alpiq AG, Zen Robotics Ltd, Siemens AG
 
  • 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

  • LIST OF TABLES

  • TABLE 01. GLOBAL AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 02. AI IN ENERGY MARKET FOR SOLUTIONS, BY REGION, 2021–2031 ($MILLION)
    TABLE 03. AI IN ENERGY MARKET, FOR SERVICES BY REGION, 2021–2031 ($MILLION)
    TABLE 04. AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 05. AI IN ENERGY MARKET FOR ON PREMISE, BY REGION, 2021–2031 ($MILLION)
    TABLE 06. AI IN ENERGY MARKET FOR CLOUD, BY REGION, 2021–2031 ($MILLION)
    TABLE 07. AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 08. AI IN ENERGY MARKET FOR ROBOTICS, BY REGION, 2021–2031 ($MILLION)
    TABLE 09. AI IN ENERGY MARKET FOR RENEWABLES MANAGEMENT, BY REGION, 2021–2031 ($MILLION)
    TABLE 10. AI IN ENERGY MARKET FOR DEMAND FORECASTING, BY REGION, 2021–2031 ($MILLION)
    TABLE 11. AI IN ENERGY MARKET FOR SAFETY AND SECURITY, BY REGION, 2021–2031 ($MILLION)
    TABLE 12. AI IN ENERGY MARKET FOR INFRASTRUCTURE, BY REGION, 2021–2031 ($MILLION)
    TABLE 13. AI IN ENERGY MARKET FOR OTHERS, BY REGION, 2021–2031 ($MILLION)
    TABLE 14. AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 15. AI IN ENERGY MARKET FOR ENERGY TRANSMISSION, BY REGION, 2021–2031 ($MILLION)
    TABLE 16. AI IN ENERGY MARKET FOR ENERGY GENERATION, BY REGION, 2021–2031 ($MILLION)
    TABLE 17. AI IN ENERGY MARKET FOR ENERGY DISTRIBUTION, BY REGION, 2021–2031 ($MILLION)
    TABLE 18. AI IN ENERGY MARKET FOR UTILITIES, BY REGION, 2021–2031 ($MILLION)
    TABLE 19. AI IN ENERGY MARKET, BY REGION, 2021–2031 ($MILLION)
    TABLE 20. NORTH AMERICA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 21. NORTH AMERICA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 22. NORTH AMERICA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 23. NORTH AMERICA AI IN ENERGY MARKET, BY END USER 2021–2031 ($MILLION)
    TABLE 24. NORTH AMERICA AI IN ENERGY MARKET, BY COUNTRY, 2021–2031 ($MILLION)
    TABLE 25. U.S. AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 26. U.S. AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 27. U.S. AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 28. U.S. AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 29. CANADA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 30. CANADA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 31. CANADA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 32. CANADA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 33. MEXICO AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 34. MEXICO AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 35. MEXICO AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 36. MEXICO AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 37. EUROPE AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 38. EUROPE AI IN ENERGY MARKET, BY DEPOLYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 39. EUROPE AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 40. EUROPE AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 41. EUROPE AI IN ENERGY MARKET, BY COUNTRY, 2021–2031 ($MILLION)
    TABLE 42. GERMANY AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 43. GERMANY AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 44. GERMANY AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 45. GERMANY AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 46. UK AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 47. UK AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 48. UK AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 49. UK AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 50. FRANCE AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 51. FRANCE AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 52. FRANCE AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 53. FRANCE AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 54. ITALY AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 55. ITALY AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 56. ITALY AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 57. ITALY AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 58. SPAIN AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 59. SPAIN AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 60. SPAIN AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 61. SPAIN AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 62. REST OF EUROPE AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 63. REST OF EUROPE AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 64. REST OF EUROPE AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 65. REST OF EUROPE AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 66. ASIA-PACIFIC AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 67. ASIA-PACIFIC AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 68. ASIA-PACIFIC AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 69. ASIA-PACIFIC AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 70. ASIA-PACIFIC AI IN ENERGY MARKET, BY COUNTRY, 2021–2031 ($MILLION)
    TABLE 71. CHINA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 72. CHINA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 73. CHINA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 74. CHINA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 75. JAPAN AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 76. JAPAN AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 77. JAPAN AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 78. JAPAN AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 79. INDIA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 80. INDIA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 81. INDIA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 82. INDIA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 83. AUSTRALIA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 84. AUSTRALIA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 85. AUSTRALIA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 86. AUSTRALIA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 87. SOUTH KOREA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 88. SOUTH KOREA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 89. SOUTH KOREA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 90. SOUTH KOREA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 91. REST OF ASIA-PACIFIC AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 92. REST OF ASIA-PACIFIC AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 93. REST OF ASIA-PACIFIC AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 94. REST OF ASIA-PACIFIC AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 95. LAMEA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 96. LAMEA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 97. LAMEA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 98. LAMEA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 99. LAMEA AI IN ENERGY MARKET, BY COUNTRY, 2021–2031 ($MILLION)
    TABLE 100. BRAZIL AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 101. BRAZIL AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 102. BRAZIL AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 103. BRAZIL AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 104. SOUTH AFRICA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 105. SOUTH AFRICA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 106. SOUTH AFRICA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 107. SOUTH AFRICA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 108. SAUDI ARABIA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 109. SAUDI ARABIA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 110. SAUDI ARABIA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 111. SAUDI ARABIA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 112. REST OF LAMEA AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    TABLE 113. REST OF LAMEA AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    TABLE 114. REST OF LAMEA AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    TABLE 115. REST OF LAMEA AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    TABLE 116. KEY ACQUISITION (2022)
    TABLE 117. KEY BUSINESS EXPANSION (2022)
    TABLE 118. KEY COLLABORATION (2020-2022)
    TABLE 119. ABB LTD: COMPANY SNAPSHOT: -
    TABLE 120. ABB LTD: OPERATING SEGMENTS: -
    TABLE 121. ABB LTD: PRODUCT PORTFOLIO: -
    TABLE 122. OVERALL FINANCIAL STATUS($MILLION) -
    TABLE 123. ABB LTD: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 124. ACCENTURE: COMPANY SNAPSHOT
    TABLE 125. ACCENTURE: OPERATING SEGMENT
    TABLE 126. ACCENTURE: PRODUCT PORTFOLIO
    TABLE 127. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 128. ACCENTURE LTD: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 129. AMAZON WEB SERVICES INC: COMPANY SNAPSHOT: -
    TABLE 130. AMAZON WEB SERVICES LTD: PRODUCT PORTFOLIO: -
    TABLE 131. AUTOGRID SYSTEMS INC.: COMPANY SNAPSHOT
    TABLE 132. AUTOGRID SYSTEMS INC.: PRODUCT PORTFOLIO
    TABLE 133. C3.AI: COMPANY SNAPSHOT
    TABLE 134. C3.AI: PRODUCT PORTFOLIO
    TABLE 135. CENTRICA PLC: COMPANY SNAPSHOT
    TABLE 136. CENTRICA PLC: OPERATING SEGMENT
    TABLE 137. CENTRICA PLC: PRODUCT PORTFOLIO
    TABLE 138. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 139. CISCO: COMPANY SNAPSHOT
    TABLE 140. CISCO: OPERATING SEGMENT
    TABLE 141. CISCO: PRODUCT PORTFOLIO
    TABLE 142. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 143. CISCO: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 144. GENERAL ELECTRIC: COMPANY SNAPSHOT
    TABLE 145. GENERAL ELECTRIC: OPERATING SEGMENT
    TABLE 146. GENERAL ELECTRIC: PRODUCT PORTFOLIO
    TABLE 147. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 148. GENERAL ELECTRIC: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 149. HCL TECHNOLOGIES LTD.: COMPANY SNAPSHOT
    TABLE 150. HCL TECHNOLOGIES LTD.: OPERATING SEGMENT
    TABLE 151. HCL TECHNOLOGIES LTD.: PRODUCT PORTFOLIO
    TABLE 152. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 153. HUAWEI TECHNOLOGIES CORPORATION: COMPANY SNAPSHOT
    TABLE 154. HUAWEI TECHNOLOGIES CORPORATION: OPERATING SEGMENT
    TABLE 155. HUAWEI TECHNOLOGIES CORPORATION: PRODUCT PORTFOLIO
    TABLE 156. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 157. HUAWEI TECHNOLOGIES CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 158. IBM: COMPANY SNAPSHOT
    TABLE 159. IBM: OPERATING SEGMENT
    TABLE 160. IBM: PRODUCT PORTFOLIO
    TABLE 161. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 162. INTEL CORPORATION: COMPANY SNAPSHOT
    TABLE 163. INTEL CORPORATION: OPERATING SEGMENT
    TABLE 164. INTEL CORPORATION: PRODUCT PORTFOLIO
    TABLE 165. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 166. INTEL CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 167. MITSUBISHI ELECTRIC: COMPANY SNAPSHOT
    TABLE 168. MITSUBISHI ELECTRIC: OPERATING SEGMENT
    TABLE 169. MITSUBISHI ELECTRIC: PRODUCT PORTFOLIO
    TABLE 170. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 171. MITSUBISHI ELECTRIC: KEY STRATEGIC MOVES AND DEVELOPMENTS -
    TABLE 172. SCHNEIDER ELECTRIC: COMPANY SNAPSHOT
    TABLE 173. SCHNEIDER ELECTRIC: OPERATING SEGMENT
    TABLE 174. SCHNEIDER ELECTRIC: PRODUCT PORTFOLIO
    TABLE 175. OVERALL FINANCIAL STATUS ($MILLION)
    TABLE 176. SENSEYE: COMPANY SNAPSHOT
    TABLE 177. SENSEYE: PRODUCT PORTFOLIO
  • LIST OF FIGURES

  • FIGURE 01. AI IN ENERGY MARKET SEGMENTATION
    FIGURE 02. TOP INVESTMENT POCKETS
    FIGURE 03. MODERATE BARGAINING POWER OF SUPPLIERS
    FIGURE 04. MODERATE BARGAINING POWER OF BUYERS
    FIGURE 05. MODERATE THREAT OF NEW ENTRANTS
    FIGURE 06. HIGH THREAT OF SUBSTITUTES
    FIGURE 07. MODERATE COMPETITIVE RIVALRY
    FIGURE 08. AI IN ENERGY MARKET DYNAMICS
    FIGURE 09. VALUE CHAIN ANALYSIS
    FIGURE 10. PATENT ANALYSIS, BY COUNTRY, 2022
    FIGURE 11. AI IN ENERGY MARKET, BY COMPONENT TYPE, 2021–2031 ($MILLION)
    FIGURE 12. COMPARATIVE SHARE ANALYSIS OF SOULTIONS AI IN ENERGY MARKET, BY COUNTRY, 2021& 2031 (%)
    FIGURE 13. COMPARATIVE SHARE ANALYSIS OF SERVICES AI IN ENERGY MARKET, BY COUNTRY, 2021& 2031 (%)
    FIGURE 14. AI IN ENERGY MARKET, BY DEPLOYMENT TYPE, 2021–2031 ($MILLION)
    FIGURE 15. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR ON PREMISE, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 16. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR CLOUD, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 17. AI IN ENERGY MARKET, BY APPLICATION, 2021–2031 ($MILLION)
    FIGURE 18. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR ROBOTICS, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 19. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR RENEWABLES MANAGEMENT, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 20. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR DEMAND FORECASTING, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 21. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR SAFETY AND SECURITY, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 22. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR INFRASTRUCTURE, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 23. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR OTHERS, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 24. AI IN ENERGY MARKET, BY END USER, 2021–2031 ($MILLION)
    FIGURE 25. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR ENERGY TRANSMISSION, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 26. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR ENERGY GENERATION, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 27. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR ENERGY DISTRIBUTION, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 28. COMPARATIVE SHARE ANALYSIS OF AI IN ENERGY MARKET FOR UTILITIES, BY COUNTRY, 2021 & 2031 (%)
    FIGURE 29. U.S. AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 30. CANADA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 31. MEXICO AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 32. GERMANY AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 33. UK AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 34. FRANCE AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 35. ITALY AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 36. SPAIN AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 37. REST OF EUROPE AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 38. CHINA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 39. JAPAN AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 40. INDIA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 41. AUSTRALIA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 42. SOUTH KOREA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 43. REST OF ASIA-PACIFIC AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 44. BRAZIL AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 45. SOUTH AFRICA AI IN ENERGY MARKET REVENUE, 2021–2031 ($MILLION)
    FIGURE 46. SAUDI ARABIA AI IN ENERGY MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 47. REST OF LAMEA MARKET REVENUE, 2021–2031($MILLION)
    FIGURE 48. MARKET PLAYER POSITIONING, 2021
    FIGURE 49. TOP WINNING STRATEGIES, BY YEAR, 2022
    FIGURE 50. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2022 (%)
    FIGURE 51. TOP WINNING STRATEGIES, BY COMPANY, 2022
    FIGURE 52. PRODUCT MAPPING OF TOP 15 PLAYERS
    FIGURE 53. COMPETITIVE HEATMAP OF KEY PLAYERS
    FIGURE 54. ABB: REVENUE, 2019–2021 ($MILLION)
    FIGURE 55. ABB: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 56. ACCENTURE: REVENUE, 2019–2021 ($MILLION)
    FIGURE 57. ACCENTURE: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 58. ACCENTURE: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 59. CENTRICA PLC: REVENUE, 2019–2021 ($MILLION)
    FIGURE 60. CENTRICA PLC: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 61. CISCO: REVENUE, 2019–2021 ($MILLION)
    FIGURE 62. CISCO: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 63. CISCO: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 64. GENERAL ELECTRIC: REVENUE, 2019–2021 ($MILLION)
    FIGURE 65. GENERAL ELECTRIC: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 66. GENERAL ELECTRIC: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 67. HCL TECHNOLOGIES LTD.: REVENUE, 2019–2021 ($MILLION)
    FIGURE 68. HCL TECHNOLOGIES LTD: REVENUE SHARE BY SEGMENT, 2022 (%)
    FIGURE 69. HCL TECHNOLOGIES LTD.: REVENUE SHARE BY REGION, 2022 (%)
    FIGURE 70. HUAWEI TECHNOLOGIES CORPORATION: REVENUE, 2019–2021 ($MILLION)
    FIGURE 71. HUAWEI TECHNOLOGIES CORPORATION: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 72. HUAWEI TECHNOLOGIES CORPORATION: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 73. IBM: REVENUE, 2019–2021 ($MILLION)
    FIGURE 74. IBM: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 75. IBM: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 76. INTEL CORPORATION: REVENUE, 2019–2021 ($MILLION)
    FIGURE 77. INTEL CORPORATION: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 78. INTEL CORPORATION: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 79. MITSUBISHI ELECTRIC: REVENUE, 2019–2021 ($MILLION)
    FIGURE 80. MITSUBISHI ELECTRIC: REVENUE SHARE BY SEGMENT, 2021 (%)
    FIGURE 81. MITSUBISHI ELECTRIC: REVENUE SHARE BY REGION, 2021 (%)
    FIGURE 82. SCHNEIDER ELECTRIC: REVENUE, 2019–2021 ($MILLION)
    FIGURE 83. SCHNEIDER ELECTRIC: REVENUE SHARE BY REGION, 2021 (%)

 
 

According to CXOs of leading companies, the global artificial intelligence in energy market is projected to exhibit high growth potential. Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think such as humans and mimic their actions.

In addition, transmission and distribution (T&D) system aids in reducing congestion and transmission losses. The T&D services assist electrical grid firms with high voltage grid strategy planning and cost-effectively utilizing existing assets through improved management systems. The growing industrialization is boosting the power sector's development and enhancing demand for artificial intelligence.

Global artificial intelligence in the energy market growth is being driven by increase in demand to make grids smarter to satisfy requirements of changing energy systems. Artificial intelligence is being employed more and more in the trading of power, smart grids, and the fusion of the transportation, heat, and electricity industries. The demand for AI solutions in energy systems is rising as a result of digitalization of the energy industry. The ability of artificial intelligence (AI) to stabilize power grid through the near-real-time detection of abnormalities in generation, consumption, or transmission and the development of appropriate remedies for these irregularities is increasing demand for AI in the energy sectors. The CXOs further added that sustained economic growth and the development of the robotics, renewables management, and power sectors have surged the popularity of artificial intelligence in energy market.

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FREQUENTLY ASKED QUESTIONS?

A. Artificial intelligence is attempting to be used in the energy sector and is already proving essential by providing the market and households with new information services in the control over energy infrastructure, optimizing generation, reducing consumption or fighting climate change, which are only some of the promises it holds in the coming years.

A. Additional growth strategies, such as expansion of production capacities, acquisition, and partnership in the development of the innovative products from manufacturers have helped to attain key developments in the AI in energy market trends.

A. Increasing adoption of cloud-based solutions is another factor supporting the global AI market growth in the forecast period. With the increasing applications of robotics in recurring and risky tasks, end-users are increasingly seeking possibilities to ensure the elimination of limitations of industrial automation and robotics technologies.

A. 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.

A. Microsoft and IBM are the potential customers of AI in Energy Industry.

A. Asia-Pacific garnered the highest share of 40% in 2021, in terms of revenue, growing at a CAGR of 17.7%.

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