表紙:エネルギー管理向けAIの世界市場 - 産業機会分析と成長予測
市場調査レポート
商品コード
923209

エネルギー管理向けAIの世界市場 - 産業機会分析と成長予測

AI in Energy Management Market Research Report: By Type, Solution, Application, Technology, End User - Industry Opportunity Analysis and Growth Forecast to 2024

出版日: | 発行: Prescient & Strategic Intelligence Private Limited | ページ情報: 英文 170 Pages | 納期: 2-3営業日

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エネルギー管理向けAIの世界市場 - 産業機会分析と成長予測
出版日: 2019年12月01日
発行: Prescient & Strategic Intelligence Private Limited
ページ情報: 英文 170 Pages
納期: 2-3営業日
  • 全表示
  • 概要
  • 図表
  • 目次
概要

エネルギー管理向けAI市場は、2018年の44億3910万米ドルから、2024年には122億90万米ドルまで拡大し、2019年~2024年のCAGRで19.8%の成長が予測されています。

当レポートでは、世界のエネルギー管理向けAI市場について調査分析し、市場概要、市場規模と予測、セグメント別の市場分析、地域別の市場分析、競合情勢などについて、体系的な情報を提供しています。

目次

第1章 調査背景

第2章 調査方法

第3章 エグゼクティブサマリー

第4章 イントロダクション

第5章 世界の市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • エンドユーザー別
  • 地域別

第6章 北米の市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • 技術別
  • 国別

第7章 欧州の市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • 技術別
  • 国別

第8章 アジア太平洋地域の市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • 技術別
  • 国別

第9章 ラテンアメリカの市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • 技術別
  • 国別

第10章 中東・アフリカの市場規模と予測

  • 展開タイプ別
  • ソリューション別
  • 用途別
  • 技術別
  • 技術別
  • 国別

第11章 競合情勢

  • 主要企業と提供のリスト
  • 主要企業の市場シェア分析
  • 主要企業の競合ベンチマーキング
  • 主要企業の戦略的発展

第12章 企業プロファイル

  • General Electric Company
  • ABB Ltd.
  • Siemens AG
  • Schneider Electric SE
  • Mitsubishi Electric Corporation
  • Eaton Corporation plc
  • Alphabet Inc.
  • Honeywell International Inc.
  • International Business Machines (IBM) Corporation

第13章 付録

図表

List of Tables

  • TABLE 1 ANALYSIS PERIOD OF THE STUDY
  • TABLE 2 DRIVERS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 3 RESTRAINTS FOR THE MARKET: IMPACT ANALYSIS
  • TABLE 4 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 5 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 6 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 7 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 8 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 9 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 10 GLOBAL AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 11 GLOBAL AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 12 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 13 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 14 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 15 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 16 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY REGION, $M (2014-2018)
  • TABLE 17 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY REGION, $M (2019-2024)
  • TABLE 18 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 19 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 20 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 21 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 22 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 23 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 24 NORTH AMERICA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 25 NORTH AMERICA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 26 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 27 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 28 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 29 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 30 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 31 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 32 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 33 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 34 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 35 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 36 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 37 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 38 EUROPE AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 39 EUROPE AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 40 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 41 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 42 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 43 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 44 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 45 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 46 APAC AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 47 APAC AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 48 APAC AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 49 APAC AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 50 APAC AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 51 APAC AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 52 APAC AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 53 APAC AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 54 APAC AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 55 APAC AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 56 APAC AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 57 APAC AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 58 APAC AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 59 APAC AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 60 LATAM AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 61 LATAM AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 62 LATAM AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 63 LATAM AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 64 LATAM AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 65 LATAM AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 66 LATAM AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 67 LATAM AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 68 LATAM AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 69 LATAM AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 70 LATAM AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 71 LATAM AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 72 LATAM AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 73 LATAM AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 74 MEA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2018)
  • TABLE 75 MEA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2019-2024)
  • TABLE 76 MEA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2018)
  • TABLE 77 MEA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2019-2024)
  • TABLE 78 MEA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2018)
  • TABLE 79 MEA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2019-2024)
  • TABLE 80 MEA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2018)
  • TABLE 81 MEA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2019-2024)
  • TABLE 82 MEA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2018)
  • TABLE 83 MEA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2019-2024)
  • TABLE 84 MEA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2018)
  • TABLE 85 MEA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2019-2024)
  • TABLE 86 MEA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2018)
  • TABLE 87 MEA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2019-2024)
  • TABLE 88 LIST OF KEY PLAYERS AND THEIR OFFERINGS
  • TABLE 89 COMPETITIVE BENCHMARKING OF KEY PLAYERS
  • TABLE 90 GENERAL ELECTRIC COMPANY - AT A GLANCE
  • TABLE 91 GENERAL ELECTRIC COMPANY - KEY FINANCIAL SUMMARY
  • TABLE 92 ABB LTD. - AT A GLANCE
  • TABLE 93 ABB LTD. - KEY FINANCIAL SUMMARY
  • TABLE 94 SIEMENS AG - AT A GLANCE
  • TABLE 95 SIEMENS AG - KEY FINANCIAL SUMMARY
  • TABLE 96 SCHNEIDER ELECTRIC SE - AT A GLANCE
  • TABLE 97 SCHNEIDER ELECTRIC SE - KEY FINANCIAL SUMMARY
  • TABLE 98 MITSUBISHI ELECTRIC CORPORATION - AT A GLANCE
  • TABLE 99 MITSUBISHI ELECTRIC CORPORATION - KEY FINANCIAL SUMMARY
  • TABLE 100 EATON CORPORATION PLC - AT A GLANCE
  • TABLE 101 EATON CORPORATION PLC - KEY FINANCIAL SUMMARY
  • TABLE 102 ALPHABET INC. - AT A GLANCE
  • TABLE 103 ALPHABET INC. - KEY FINANCIAL SUMMARY
  • TABLE 104 HONEYWELL INTERNATIONAL INC. - AT A GLANCE
  • TABLE 105 HONEYWELL INTERNATIONAL INC. - KEY FINANCIAL SUMMARY
  • TABLE 106 IBM CORPORATION - AT A GLANCE
  • TABLE 107 IBM CORPORATION - KEY FINANCIAL SUMMARY

List of Figures

  • FIG 1 RESEARCH SCOPE
  • FIG 2 RESEARCH METHODOLOGY
  • FIG 3 REGIONAL SPLIT OF PRIMARY AND SECONDARY RESEARCH
  • FIG 4 BREAKDOWN OF PRIMARY RESEARCH BY REGION
  • FIG 5 BREAKDOWN OF PRIMARY RESEARCH BY INDUSTRY PARTICIPANT
  • FIG 6 BREAKDOWN OF PRIMARY RESEARCH BY COMPANY TYPE
  • FIG 7 DATA TRIANGULATION APPROACH
  • FIG 8 GLOBAL AI IN ENERGY MANAGEMENT MARKET SUMMARY
  • FIG 9 VALUE CHAIN ANALYSIS OF GLOBAL AI IN ENERGY MANAGEMENT MARKET
  • FIG 10 BARGAINING POWER OF BUYERS
  • FIG 11 BARGAINING POWER OF SUPPLIERS
  • FIG 12 INTENSITY OF RIVALRY
  • FIG 13 THREAT OF NEW ENTRANTS
  • FIG 14 THREAT OF SUBSTITUTES
  • FIG 15 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 16 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 17 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 18 GLOBAL AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 19 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 20 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 21 WORLDWIDE MAJOR MARKETS FOR AI IN ENERGY MANAGEMENT
  • FIG 22 GLOBAL AI IN ENERGY MANAGEMENT MARKET, BY REGION, $M (2014-2024)
  • FIG 23 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET SNAPSHOT
  • FIG 24 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 25 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 26 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 27 NORTH AMERICA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 28 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 29 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 30 NORTH AMERICA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 31 EUROPE AI IN ENERGY MANAGEMENT MARKET SNAPSHOT
  • FIG 32 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 33 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 34 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 35 EUROPE AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 36 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 37 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 38 EUROPE AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 39 APAC AI IN ENERGY MANAGEMENT MARKET SNAPSHOT
  • FIG 40 APAC AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 41 APAC AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 42 APAC AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 43 APAC AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 44 APAC AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 45 APAC AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 46 APAC AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 47 LATAM AI IN ENERGY MANAGEMENT MARKET SNAPSHOT
  • FIG 48 LATAM AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 49 LATAM AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 50 LATAM AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 51 LATAM AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 52 LATAM AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 53 LATAM AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 54 LATAM AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 55 MEA AI IN ENERGY MANAGEMENT MARKET SNAPSHOT
  • FIG 56 MEA AI IN ENERGY MANAGEMENT MARKET, BY DEPLOYMENT TYPE, $M (2014-2024)
  • FIG 57 MEA AI IN ENERGY MANAGEMENT MARKET, BY SOLUTION, $M (2014-2024)
  • FIG 58 MEA AI IN ENERGY MANAGEMENT MARKET, BY APPLICATION, $M (2014-2024)
  • FIG 59 MEA AI MARKET FOR ENERGY OUTPUT FORECASTING, BY TYPE, $M (2014-2024)
  • FIG 60 MEA AI IN ENERGY MANAGEMENT MARKET, BY TECHNOLOGY, $M (2014-2024)
  • FIG 61 MEA AI IN ENERGY MANAGEMENT MARKET, BY END USER, $M (2014-2024)
  • FIG 62 MEA AI IN ENERGY MANAGEMENT MARKET, BY COUNTRY, $M (2014-2024)
  • FIG 63 GLOBAL AI IN ENERGY MANAGEMENT MARKET SHARE ANALYSIS OF KEY PLAYERS (2018)
  • FIG 64 GENERAL ELECTRIC COMPANY - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 65 ABB LTD. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 66 SIEMENS AG - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 67 SCHNEIDER ELECTRIC SE - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 68 MITSUBISHI ELECTRIC CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2019)
  • FIG 69 EATON CORPORATION PLC - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 70 ALPHABET INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 71 HONEYWELL INTERNATIONAL INC. - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
  • FIG 72 IBM CORPORATION - REVENUE SPLIT BY SEGMENT AND GEOGRAPHY (2018)
目次
Product Code: IM11801

From $4,439.1 million in 2018, the artificial intelligence (AI) in energy management market is projected to grow to $12,200.9 million in 2024, at a 19.8% CAGR during 2019-2024 (forecast period). Based on end user, the market was dominated by the utility category, in 2018, as AI solutions are being deployed by numerous companies, including Dominion Energy Inc. and Duke Energy Corporation, to bridge the gap between the demand and supply of electricity.

The most significant trend being observed in the AI in energy management market is the integration of internet of things (IoT) in energy management systems (EMS). IoT provides remote control, software automation, data insights, and proactive monitoring, in EMSs. It uses smart sensors and meters, installed in production lines as well as machines, to alert users about the amount of energy being consumed. Additionally, with the complete package of services and software IoT offers, energy costs can be reduced substantially.

The use of AI to make the grid more efficient is a major AI in energy management market growth driver. A grid is a complex system of wires, transformers, and other infrastructure components, through which electricity is transported over long distance. Such infrastructure differs vastly in complexity and size; it can be for a single building, an entire nation, or one which distributes energy across countries and continents, in which case it is called a transcontinental grid.

The power in the grid comes from a variety of sources, including fossil-fuel-based power plants, solar panel installations, wind power plants, hydroelectricity plants, as well as nuclear power stations, which makes their operation a cumbersome process. With AI analyzing the massive volumes of data generated from their operations on a daily basis, they become stable and energy-efficient, thereby driving the AI in energy management market growth.

Table of Contents

Chapter 1. Research Background

  • 1.1 Research Objectives
  • 1.2 Market Definition
  • 1.3 Research Scope
    • 1.3.1 Market Segmentation by Deployment Type
    • 1.3.2 Market Segmentation by Solution
    • 1.3.3 Market Segmentation by Application
    • 1.3.4 Market Segmentation by Technology
    • 1.3.5 Market Segmentation by End User
    • 1.3.6 Market Segmentation by Region
    • 1.3.7 Analysis Period
    • 1.3.8 Market Data Reporting Unit
      • 1.3.8.1 Value
  • 1.4 Key Stakeholders

Chapter 2. Research Methodology

  • 2.1 Secondary Research
  • 2.2 Primary Research
    • 2.2.1 Breakdown of Primary Research Respondents
      • 2.2.1.1 By region
      • 2.2.1.2 By industry participant
      • 2.2.1.3 By company type
  • 2.3 Market Size Estimation
  • 2.4 Data Triangulation
  • 2.5 Assumptions for the Study

Chapter 3. Executive Summary

Chapter 4. Introduction

  • 4.1 Definition of Market Segments
    • 4.1.1 Market Segmentation by Deployment Type
      • 4.1.1.1 Cloud
      • 4.1.1.2 On-premises
    • 4.1.2 Market Segmentation by Solution
      • 4.1.2.1 Renewable management
      • 4.1.2.2 Demand management
      • 4.1.2.3 Infrastructure management
    • 4.1.3 Market Segmentation by Application
      • 4.1.3.1 Energy generation
      • 4.1.3.2 Energy transmission
      • 4.1.3.3 Energy distribution
      • 4.1.3.4 Energy output forecasting
        • 4.1.3.4.1 Load forecasting
        • 4.1.3.4.2 Yield optimization
        • 4.1.3.4.3 Predictive maintenance
        • 4.1.3.4.4 Live metering
    • 4.1.4 Market Segmentation by Technology
      • 4.1.4.1 Machine learning
      • 4.1.4.2 Natural language processing
      • 4.1.4.3 Computer vision
    • 4.1.5 Market Segmentation by End User
      • 4.1.5.1 Manufacturing
      • 4.1.5.2 Utility
      • 4.1.5.3 Residential
      • 4.1.5.4 Government
      • 4.1.5.5 Retail
      • 4.1.5.6 Healthcare
      • 4.1.5.7 Education
  • 4.2 Value Chain Analysis
  • 4.3 Market Dynamics
    • 4.3.1 Trends
      • 4.3.1.1 Integration of IoT in energy management systems (EMSs)
      • 4.3.1.2 Increasing usage of smart grid
    • 4.3.2 Drivers
      • 4.3.2.1 Leveraging AI to improve grid stability
      • 4.3.2.2 AI to forecast energy usage and make energy-saving decisions
      • 4.3.2.3 Increasing adoption of AI for low-carbon electricity generation
      • 4.3.2.4 Impact analysis of drivers on market forecast
    • 4.3.3 Restraints
      • 4.3.3.1 Energy networks vulnerable to cyberattacks
      • 4.3.3.2 Huge costs of deploying AI-based EMSs
      • 4.3.3.3 Impact analysis of restraints on market forecast
    • 4.3.4 Opportunities
      • 4.3.4.1 Use of AI-enabled robots for site inspection and maintenance
  • 4.4 Porter's Five Forces Analysis

Chapter 5. Global Market Size and Forecast

  • 5.1 By Deployment Type
  • 5.2 By Solution
  • 5.3 By Application
    • 5.3.1 Energy Output Forecasting, By Type
  • 5.4 By Technology
  • 5.5 By End User
  • 5.6 By Region

Chapter 6. North America Market Size and Forecast

  • 6.1 By Deployment Type
  • 6.2 By Solution
  • 6.3 By Application
    • 6.3.1 Energy Output Forecasting, By Type
  • 6.4 By Technology
  • 6.5 By End User
  • 6.6 By Country

Chapter 7. Europe Market Size and Forecast

  • 7.1 By Deployment Type
  • 7.2 By Solution
  • 7.3 By Application
    • 7.3.1 Energy Output Forecasting, By Type
  • 7.4 By Technology
  • 7.5 By End User
  • 7.6 By Country

Chapter 8. APAC Market Size and Forecast

  • 8.1 By Deployment Type
  • 8.2 By Solution
  • 8.3 By Application
    • 8.3.1 Energy Output Forecasting, By Type
  • 8.4 By Technology
  • 8.5 By End User
  • 8.6 By Country

Chapter 9. LATAM Market Size and Forecast

  • 9.1 By Deployment Type
  • 9.2 By Solution
  • 9.3 By Application
    • 9.3.1 Energy Output Forecasting, By Type
  • 9.4 By Technology
  • 9.5 By End User
  • 9.6 By Country

Chapter 10. MEA Market Size and Forecast

  • 10.1 By Deployment Type
  • 10.2 By Solution
  • 10.3 By Application
    • 10.3.1 Energy Output Forecasting, By Type
  • 10.4 By Technology
  • 10.5 By End User
  • 10.6 By Country

Chapter 11. Competitive Landscape

  • 11.1 List of Key Players and Offerings
  • 11.2 Market Share Analysis of Key Players
  • 11.3 Competitive Benchmarking of Key Players
  • 11.4 Strategic Developments of Key Players
    • 11.4.1 Mergers and Acquisitions
    • 11.4.2 Partnerships
    • 11.4.3 Product Launches
    • 11.4.4 Geographic Expansion
    • 11.4.5 Client Wins

Chapter 12. Company Profiles

  • 12.1 General Electric Company
    • 12.1.1 Business Overview
    • 12.1.2 Product and Service Offerings
    • 12.1.3 Key Financial Summary
  • 12.2 ABB Ltd.
    • 12.2.1 Business Overview
    • 12.2.2 Product and Service Offerings
    • 12.2.3 Key Financial Summary
  • 12.3 Siemens AG
    • 12.3.1 Business Overview
    • 12.3.2 Product and Service Offerings
    • 12.3.3 Key Financial Summary
  • 12.4 Schneider Electric SE
    • 12.4.1 Business Overview
    • 12.4.2 Product and Service Offerings
    • 12.4.3 Key Financial Summary
  • 12.5 Mitsubishi Electric Corporation
    • 12.5.1 Business Overview
    • 12.5.2 Product and Service Offerings
    • 12.5.3 Key Financial Summary
  • 12.6 Eaton Corporation plc
    • 12.6.1 Business Overview
    • 12.6.2 Product and Service Offerings
    • 12.6.3 Key Financial Summary
  • 12.7 Alphabet Inc.
    • 12.7.1 Business Overview
    • 12.7.2 Product and Service offerings
    • 12.7.3 Key Financial Summary
  • 12.8 Honeywell International Inc.
    • 12.8.1 Business Overview
    • 12.8.2 Product and Service Offerings
    • 12.8.3 Key Financial Summary
  • 12.9 International Business Machines (IBM) Corporation
    • 12.9.1 Business Overview
    • 12.9.2 Product and Service Offerings
    • 12.9.3 Key Financial Summary

Chapter 13. Appendix

  • 13.1 Abbreviations
  • 13.2 Sources and References
  • 13.3 Related Reports