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市場調查報告書

能源的人工智能的全球市場:產品&服務 (軟體,硬體設備,AI即服務,支援服務) 、用途 (石油、天然氣,電力) - 分析與預測 (2019-2024年)

Global Artificial Intelligence in Energy Market: Focus on Product Type, Industry, Applications, Funding - Analysis and Forecast, 2019-2024

出版商 BIS Research Inc. 商品編碼 920951
出版日期 內容資訊 英文 259 Pages
商品交期: 最快1-2個工作天內
價格
能源的人工智能的全球市場:產品&服務 (軟體,硬體設備,AI即服務,支援服務) 、用途 (石油、天然氣,電力) - 分析與預測 (2019-2024年) Global Artificial Intelligence in Energy Market: Focus on Product Type, Industry, Applications, Funding - Analysis and Forecast, 2019-2024
出版日期: 2019年12月23日內容資訊: 英文 259 Pages
簡介

全球能源的人工智能 (AI) 市場規模至2024年預計將達到77億8,000萬美元。該市場預計從2019年到2024年的預測期間內,將以22.49%的年複合成長率 (CAGR) 成長。全世界的節能需求擴大,促進該市場。還有為了削減電力需求對配電供應鏈中分散式發電的擔憂高漲。電池存儲系統的增加促進市場成長,有導致電網內的過密與複雜性的可能性。

本報告涵括全球能源的人工智能 (AI) 市場,提供市場動態,競爭環境,各市場區隔、各地區的市場,競爭情形,及主要企業等相關的詳細分析。

摘要整理

第1章 市場動態

  • 推動市場要素
  • 阻礙市場要素
  • 市場機會

第2章 競爭情形

  • 主要的發展、策略
  • 競爭基準

第3章 產業分析

  • 市場生態系統
  • 技術生態系統
  • 投資、資金形勢
  • 主要的聯盟、協會

第4章 能源的人工智能 (AI)的全球市場:各產業串流

  • 市場概要
  • 石油、天然氣產業
    • 上游
    • 中游
    • 下游
  • 電力產業
    • 發電
    • 供電
    • 配電

第5章 能源的人工智能 (AI)的全球市場:各提供品/服務

  • 市場概要
  • 軟體
  • 硬體設備
  • AI即服務
  • 支援服務

第6章 能源的人工智能 (AI)的全球市場:各用途

  • 市場概要
  • 石油、天然氣用途
    • 車隊、資產管理
    • 精密開採
    • 需求預測
    • 其他
  • 電力產業
    • 再生能源管理
    • 基礎架構管理
    • 需量反應 (DR) 管理
    • 其他

第7章 能源的人工智能 (AI)的全球市場:各地區

  • 北美
  • 歐洲
  • 亞太地區
  • 其他

第8章 企業簡介

  • 概要
  • Accenture PLC
  • Amazon Web Services, Inc.
  • AutoGrid Systems, Inc
  • Cisco Systems Inc.
  • C3 IoT, Inc.
  • General Electric
  • HCL Technologies Ltd.
  • Huawei Technologies Co., Ltd.
  • International Business Machines Corporation (IBM)
  • Intel Corporation
  • Kellton Tech Solutions Ltd.
  • Microsoft Corporation
  • Oracle Corporation
  • Rockwell Automation Inc.
  • SAP SE
  • Wipro Limited
  • ABB Ltd.
  • Actility S.A.
  • Enel X North America, Inc.
  • Equinor ASA
  • Ingersoll Rand Plc
  • Royal Dutch Shell PLC
  • Siemens AG
  • Schneider Electric
  • Schlumberger Limited
  • 東京電力

第9章 調查範圍、手法

第10章 附錄

目錄
Product Code: SE036A

"Global AI in Energy Market to Reach $7.78 Billion by 2024."

Key Questions Answered in this Report:

  • What are the key trends and opportunities in the market pertaining to AI in energy?
  • What is the estimated global AI in energy market size in terms of revenue for the time period 2018-2024, and what is the expected compound annual growth rate (CAGR) during the forecast period 2019-2024?
  • What is the expected future outlook and revenue to be generated by the different types of product offerings including software, hardware, AI-as-a-Service, and support services?
  • What is the estimated revenue generated by AI solutions in both power and oil & gas industries for the time period 2018-2024?
  • What is the estimated revenue generated by AI solutions in different power industry streams such as generation, transmission, and distribution for the time period 2018-2014?
  • What is the estimated revenue generated by AI solutions in different oil & gas industry streams such as upstream, midstream, and downstream for the time period 2018-2024?
  • What is the estimated revenue generated by AI solutions in different applications of power and oil & gas industry for the time period 2018-2024?
  • What is the current market size and opportunities of AI solutions in energy industry across different regions including North America, Europe, Asia-Pacific, and Rest-of-the-World?
  • What are the major driving forces that are expected to increase the demand for the global AI in energy market during the forecast period?
  • What are the major restraints inhibiting the growth of the global AI in energy market?
  • What kind of new strategies are being adopted by the existing market players to expand their market position in the industry?
  • What is the competitive strength of the key players in the AI in energy market on the basis of analysis of their recent developments, product offerings, and regional presence?
  • How is the competitive benchmarking of the key AI focused IT companies in the energy market on the basis of analysis of their market coverage and market potential?
  • What is the funding and investment landscape in the global AI in energy market?
  • Which type of players and stakeholders operate in the market ecosystem of AI in energy, and what are their significance in the global market?
  • Which are the leading consortiums and associations in the global AI in energy market, and what is their role in the market?
  • How does the regulatory landscape differ in different regions for AI in energy?

Global Artificial Intelligence (AI) in Energy Market Forecast, 2019-2024

The Global Artificial Intelligence (AI) in Energy Industry Analysis by BIS Research projects the market to grow at a significant CAGR of 22.49% during the forecast period from 2019 to 2024.

The increasing demand for energy efficiency across the globe has propelled the need for artificial intelligence in energy. Moreover, there is an increased concern for decentralized power generators in the electricity distribution supply chain to reduce the electricity demand. The growth of the market is likely to be encouraged by the rise of battery storage system, leading to congestion and complexity within the grid.

Expert Quote:

"Fleet and asset management is one of the prominent applications of the AI in energy market. The fleet assets at remote locations are difficult to monitor and control. Any failure of assets without prior intimation leads to an increase in operational downtime. Thus, the energy industry is adopting AI technology to monitor and control the fleet assets across the supply chain. The AI-powered hardware components integrated with the AI software ensures efficient operation of oil & gas assets using vibration analytics, thereby ensuring a safe working atmosphere. An AI-enabled fleet and asset monitoring solution using computer vision provides visibility across the functioning of the equipment, which further helps in investigating the asset performance."

Scope of the Global Artificial Intelligence (AI) in Energy Market

The global artificial intelligence in energy market research provides a detailed perspective regarding the product offerings, applications, value, and estimation, among others. The purpose of this market analysis is to examine the artificial intelligence in energy in terms of factors driving the market, trends, technological developments, and funding scenario, among others.

The report further takes into consideration the market dynamics and the competitive landscape along with the detailed financial and product contribution of the key players operating in the market. The artificial intelligence in energy market report is a compilation of different segments including market breakdown by product offerings, industry stream, and region.

Market Segmentation:

The global artificial intelligence in energy market comprises oil & gas and power industries. The oil & gas industry has been further segmented into upstream, midstream, and downstream. Similarly, for power industry, generation, transmission, and distribution are the three sectors across the supply chain. Upstream segment in the oil & gas industry and distribution segment in the power industry accounted for the largest share in the market as a result of the increasing necessity for efficient oil & gas exploration and growing demand for continuous supply of electricity. However, during the forecast period, the generation segment in the power industry is expected to display the highest growth, owing to the increasing focus toward decentralized power generation.

The emerging trends of the AI in energy market vary across different regions. In 2018, North America was at the forefront of the market, with huge market concentration in the U.S. During the forecast period, the Asia-Pacific region is expected to flourish as one of the most lucrative markets for AI in energy. Rising demand for decentralized power generation drive the growth of global AI in energy market.

Key Companies in the Artificial Intelligence (AI) in Energy Market

The prominent players in the artificial intelligence in energy market include IBM Corporation, Microsoft Corporation, Accenture Plc, Amazon Web Services, Inc., Intel Corporation, Oracle Corporation, SAP SE, Huawei Technology, Cisco Systems, General Electric Company, Rockwell Automation, C3.ai, AutoGrid Systems, HCL Technologies, and Wipro Limited.

Table of Contents

Executive Summary

1. Market Dynamics

  • 1.1. Market Drivers
    • 1.1.1. Demand for Increasing Operational Efficiency to Fulfil Energy Requirement
    • 1.1.2. Significant Increase in Demand for Decentralized Power Generation
    • 1.1.3. Growing Need for Battery Storage Systems
  • 1.2. Market Restraints
    • 1.2.1. High Cost of Deployment
    • 1.2.2. Privacy and Security Risk
  • 1.3. Market Opportunities
    • 1.3.1. Rising Deployment of Smart Grids
    • 1.3.2. Growth of Establishment of Smart Buildings

2. Competitive Landscape

  • 2.1. Key Market Developments and Strategies
    • 2.1.1. Partnerships, Collaborations, and Joint Ventures
    • 2.1.2. New Product Launches and Developments
    • 2.1.3. Business Expansions and Contracts
    • 2.1.4. Mergers and Acquisitions
    • 2.1.5. Others (Awards and Recognitions)
  • 2.2. Competitive Benchmarking of IT Solution Providers in AI in Energy Market

3. Industry Analysis

  • 3.1. Artificial Intelligence in Energy: Market Ecosystem
  • 3.2. Artificial Intelligence in Energy: Technology Ecosystem
    • 3.2.1. AI Technology Stack
      • 3.2.1.1. AI-Powered Technologies
        • 3.2.1.1.1. Machine Learning
        • 3.2.1.1.2. Computer Vision
        • 3.2.1.1.3. Deep Learning
        • 3.2.1.1.4. Speech Recognition
        • 3.2.1.1.5. Other Technologies
      • 3.2.1.2. Hardware
        • 3.2.1.2.1. Memory
        • 3.2.1.2.2. Storage
        • 3.2.1.2.3. Logic
        • 3.2.1.2.4. Networking
      • 3.2.1.3. Others
    • 3.2.2. AI Technology Classifications
      • 3.2.2.1. AI Technology (by Functionality)
        • 3.2.2.1.1. Reactive Machines
        • 3.2.2.1.2. Limited Memory
        • 3.2.2.1.3. Theory of Mind
        • 3.2.2.1.4. Self-Awareness
      • 3.2.2.2. AI Technology (by Capability)
        • 3.2.2.2.1. Weak AI
        • 3.2.2.2.2. General AI
        • 3.2.2.2.3. Strong AI
    • 3.2.3. Key AI Use Cases in Energy
      • 3.2.3.1. Predictive Analytics
      • 3.2.3.2. Drones/UAVs
      • 3.2.3.3. Intelligent Energy Storage
      • 3.2.3.4. Variable Renewable Energy Integration
  • 3.3. Investment and Funding Landscape
  • 3.4. Key Consortiums and Associations

4. Global Artificial Intelligence (AI) in Energy Market (by Industry Stream)

  • 4.1. Market Overview
  • 4.2. Oil & Gas Industry
    • 4.2.1. Upstream
    • 4.2.2. Midstream
    • 4.2.3. Downstream
  • 4.3. Power Industry
    • 4.3.1. Generation
    • 4.3.2. Transmission
    • 4.3.3. Distribution

5. Global Artificial Intelligence (AI) in Energy Market (by Product Offering)

  • 5.1. Market Overview
  • 5.2. Software
  • 5.3. Hardware
  • 5.4. AI-as-a-Service
  • 5.5. Support Services

6. Global Artificial Intelligence (AI) in Energy Market (by Application)

  • 6.1. Market Overview
  • 6.2. Oil & Gas Applications
    • 6.2.1. Fleet and Asset Management
    • 6.2.2. Precision Drilling
    • 6.2.3. Demand Forecasting
    • 6.2.4. Others
  • 6.3. Power Applications
    • 6.3.1. Renewable Energy Management
    • 6.3.2. Infrastructure Management
    • 6.3.3. Demand Response Management
    • 6.3.4. Others

7. Global Artificial Intelligence (AI) in Energy Market (by Region)

  • 7.1. North America
    • 7.1.1. North America Artificial Intelligence in Energy Market (by Industry)
    • 7.1.2. North America Artificial Intelligence in Energy Market (by Country)
      • 7.1.2.1. U.S.
      • 7.1.2.2. Canada
      • 7.1.2.3. Rest-of-North America
  • 7.2. Europe
    • 7.2.1. Europe Artificial Intelligence in Energy Market (by Industry)
    • 7.2.2. Europe Artificial Intelligence in Energy Market (by Country)
      • 7.2.2.1. U.K.
      • 7.2.2.2. Germany
      • 7.2.2.3. France
      • 7.2.2.4. Norway
      • 7.2.2.5. Rest-of-Europe
  • 7.3. Asia-Pacific
    • 7.3.1. Asia-Pacific Artificial Intelligence in Energy Market (by Industry)
    • 7.3.2. Asia-Pacific Artificial Intelligence in Energy Market (by Country)
      • 7.3.2.1. China
      • 7.3.2.2. Japan
      • 7.3.2.3. Australia
      • 7.3.2.4. India
      • 7.3.2.5. Rest-of-Asia-Pacific
  • 7.4. Rest-of-the-World (RoW)
    • 7.4.1. RoW Artificial Intelligence in Energy Market (by Industry)
    • 7.4.2. RoW Artificial Intelligence in Energy Market (by Country)
      • 7.4.2.1. Saudi Arabia
      • 7.4.2.2. U.A.E
      • 7.4.2.3. Brazil
      • 7.4.2.4. Rest-of-RoW

8. Company Profiles

  • 8.1. Overview
  • AI Solution Providers
    • 8.2. Accenture PLC
      • 8.2.1. Company Overview
      • 8.2.2. Role of Accenture PLC in Artificial Intelligence in Energy Market
      • 8.2.3. Financials
      • 8.2.4. Key Insights About the Financial Health of the Company
      • 8.2.5. SWOT Analysis
    • 8.3. Amazon Web Services, Inc.
      • 8.3.1. Company Overview
      • 8.3.2. Role of Amazon Web Services, Inc. in Artificial Intelligence in Energy Market
      • 8.3.3. Financials
      • 8.3.4. SWOT Analysis
    • 8.4. AutoGrid Systems, Inc
      • 8.4.1. Company Overview
      • 8.4.2. Role of AutoGrid Systems, Inc in Artificial Intelligence in Energy Market
      • 8.4.3. SWOT Analysis
    • 8.5. Cisco Systems Inc.
      • 8.5.1. Company Overview
      • 8.5.2. Role of Cisco Systems Inc. in Global Artificial Intelligence in Energy Market
      • 8.5.3. Financials
      • 8.5.4. SWOT Analysis
    • 8.6. C3 IoT, Inc.
      • 8.6.1. Company Overview
      • 8.6.2. Role of C3 IoT, Inc. in Artificial Intelligence in Energy Market
      • 8.6.3. SWOT Analysis
    • 8.7. General Electric
      • 8.7.1. Company Overview
      • 8.7.2. Role of General Electric in Artificial Intelligence in Energy Market
      • 8.7.3. Financials
      • 8.7.4. Key Insights About the Financial Health of the Company
      • 8.7.5. SWOT Analysis
    • 8.8. HCL Technologies Ltd.
      • 8.8.1. Company Overview
      • 8.8.2. Role of HCL Technologies Ltd. In Artificial Intelligence in Energy Market
      • 8.8.3. Financials
      • 8.8.4. SWOT Analysis
    • 8.9. Huawei Technologies Co., Ltd.
      • 8.9.1. Company Overview
      • 8.9.2. Role of Huawei Technologies Co., Ltd. In AI in Energy Market
      • 8.9.3. Financials
      • 8.9.4. SWOT Analysis
    • 8.10. International Business Machines Corporation (IBM)
      • 8.10.1. Company Overview
      • 8.10.2. Role of IBM Corporation in Artificial Intelligence in Energy Market
      • 8.10.3. Financials
      • 8.10.4. Key Insights About the Financial Health of the Company
      • 8.10.5. SWOT Analysis
    • 8.11. Intel Corporation
      • 8.11.1. Company Overview
      • 8.11.2. Role of Intel Corporation in Artificial Intelligence in Energy Market
      • 8.11.3. Financials
      • 8.11.4. Key Insights About the Financial Health of the Company
      • 8.11.5. SWOT Analysis
    • 8.12. Kellton Tech Solutions Ltd.
      • 8.12.1. Company Overview
      • 8.12.2. Role of Kellton Tech Solutions Ltd. In Artificial Intelligence in Energy Market
      • 8.12.3. Financials
      • 8.12.4. SWOT Analysis
    • 8.13. Microsoft Corporation
      • 8.13.1. Company Overview
      • 8.13.2. Role of Microsoft Corporation in Artificial Intelligence in Energy Market
      • 8.13.3. Financials
      • 8.13.4. Key Insights About the Financial Health of the Company
      • 8.13.5. SWOT Analysis
    • 8.14. Oracle Corporation
      • 8.14.1. Company Overview
      • 8.14.2. Role of Oracle Corporation in Artificial Intelligence in Energy Market
      • 8.14.3. Financials
      • 8.14.4. Key Insights About the Financial Health of the Company
      • 8.14.5. SWOT Analysis
    • 8.15. Rockwell Automation Inc.
      • 8.15.1. Company Overview
      • 8.15.2. Role of Rockwell Automation Inc. in Artificial Intelligence in Energy Market
      • 8.15.3. Financials
      • 8.15.4. Key Insights About the Financial Health of the Company
      • 8.15.5. SWOT Analysis
    • 8.16. SAP SE
      • 8.16.1. Company Overview
      • 8.16.2. Role of SAP SE in Artificial Intelligence in Energy Market
      • 8.16.3. Financials
      • 8.16.4. SWOT Analysis
    • 8.17. Wipro Limited
      • 8.17.1. Company Overview
      • 8.17.2. Role of Wipro Limited in Artificial Intelligence in Energy Market
      • 8.17.3. Financials
      • 8.17.4. SWOT Analysis
  • Other Key Companies
    • 8.18. ABB Ltd.
      • 8.18.1. Company Overview
      • 8.18.2. Role of ABB Ltd. In Artificial Intelligence in Energy Market
    • 8.19. Actility S.A.
      • 8.19.1. Company Overview
      • 8.19.2. Role of Actility S.A. in Artificial Intelligence in Energy Market
    • 8.20. Enel X North America, Inc.
      • 8.20.1. Company Overview
      • 8.20.2. Role of Enel X North America, Inc. in Artificial Intelligence in Energy Market
    • 8.21. Equinor ASA
      • 8.21.1. Company Overview
      • 8.21.2. Role of Equinor ASA in Artificial Intelligence in Energy Market
    • 8.22. Ingersoll Rand Plc
      • 8.22.1. Company Overview
      • 8.22.2. Role of Ingersoll Rand Plc in the Artificial Intelligence in Energy Market
    • 8.23. Royal Dutch Shell PLC
      • 8.23.1. Company Overview
      • 8.23.2. Role of Royal Dutch Shell PLC in Artificial Intelligence in Energy Market
    • 8.24. Siemens AG
      • 8.24.1. Company Overview
      • 8.24.2. Role of Siemens AG in Artificial Intelligence in Energy Market
    • 8.25. Schneider Electric
      • 8.25.1. Company Overview
      • 8.25.2. Role of Schneider Electric in Artificial Intelligence in Energy Market
    • 8.26. Schlumberger Limited
      • 8.26.1. Company Overview
      • 8.26.2. Role of Schlumberger Limited in Artificial Intelligence in Energy Market
    • 8.27. Tokyo Electric Power Company
      • 8.27.1. Company Overview
      • 8.27.2. Role of Tokyo Electric Power Company in Artificial Intelligence in Energy Market

9. Report Scope and Methodology

  • 9.1. Report Scope
  • 9.2. Market Research Methodology
    • 9.2.1. Assumptions
    • 9.2.2. Limitations
    • 9.2.3. Primary Data Sources
    • 9.2.4. Secondary Data Sources
    • 9.2.5. Data Triangulation
    • 9.2.6. Market Estimation and Forecast

10. Annexure

  • 10.1. Annexure A : List of Key Strategies and Developments in Global Artificial Intelligence in Energy Market (Jan 2017-Sep 2019)

List of Tables

  • Table 1.1: Impact Analysis of Drivers
  • Table 1.2: List of Investors Promoting Decentralized Energy System
  • Table 1.3: Applications of Battery Storage Systems in the Power Supply Network
  • Table 1.4: Impact Analysis of Restraints
  • Table 1.5: Initiatives for the Advancement of the U.S. Grid Network
  • Table 1.6: Advantages and Growth Enablers of Smart Buildings
  • Table 3.1: Applications of Energy Storage Systems in the Power Supply Network
  • Table 3.2: Regulatory Policies to Promote Variable Renewable Energy
  • Table 3.3: Key Consortiums and Associations in Global AI in Energy Market
  • Table 4.1: Global Artificial Intelligence in Energy Market (by Industry Stream), $Million, 2018-2024
  • Table 4.2: Global Artificial Intelligence in Oil & Gas Market (by Industry Stream), 2018-2024, $Million
  • Table 4.3: Some of the AI Solution Providers in the Upstream Sector
  • Table 4.4: Key AI Solution Providers in the Downstream Sector
  • Table 4.5: Global Artificial Intelligence in the Power Market (by Industry Stream), 2018-2024, $Million
  • Table 5.1: Global Artificial Intelligence in Energy Market (by Product Offering), $Million, 2018-2024
  • Table 5.2: Key Artificial Intelligence Software Providers
  • Table 5.3: Hardware Offering by Key Players in Artificial Intelligence in Energy Market
  • Table 5.4: Product Portfolio of the Key Players Providing AIaaS
  • Table 6.1: Global Artificial Intelligence in Oil & Gas Market (by Application), $Million 2018-2024
  • Table 6.2: Key Companies with AI Products for Fleet and Asset Management in Global AI in Energy Market
  • Table 6.3: Key Companies with AI Products for Precision Drilling in Global AI in Energy Market
  • Table 6.4: Global Artificial Intelligence in Power Market (by Application), $Million 2018-2024
  • Table 6.5: Key Companies with AI Products for Renewable Energy Management in Global AI in Energy Market
  • Table 6.6: Features of Demand Response Mechanism
  • Table 6.7: Demand Response Programs in the U.S.
  • Table 7.1: Global Artificial Intelligence in Energy Market (by Region), 2018-2024, $Million
  • Table 7.2: North America in Artificial Intelligence in Energy (by Industry), 2018-2024, $Million
  • Table 7.3: North America in Artificial Intelligence in Energy Market (by Country), 2018-2024, $Million
  • Table 7.4: Use Cases in the U.S. in AI in Power Industry
  • Table 7.5: Recent Developments in the Canada AI in Power and Oil & Gas Industry
  • Table 7.6: Europe in Artificial Intelligence in Energy (by Industry), 2018-2024, $Million
  • Table 7.7: Europe in Artificial Intelligence in Energy Market (by Country), 2018-2024, $Million
  • Table 7.8: Use cases of AI by power utilities in the U.K.
  • Table 7.9: Recent Developments in the Germany AI in Power Industry
  • Table 7.10: Asia-Pacific Artificial Intelligence in Energy Market (by Industry), 2018-2024, $Million
  • Table 7.11: Asia-Pacific Artificial Intelligence in Energy Market (by Country), 2018-2024, $Million
  • Table 7.12: Australia Government Initiatives for Energy Conservation
  • Table 7.13: Benefits of Stakeholders from Smart Grid
  • Table 7.14: RoW Artificial Intelligence in Energy Market (by Industry), 2018-2024, $Million
  • Table 7.15: RoW Artificial Intelligence in Energy Market (by Country), 2018-2024, $Million
  • Table 8.1: Accenture PLC: Product Portfolio
  • Table 8.2: Amazon Web Services, Inc.: Product Portfolio
  • Table 8.3: AutoGrid Systems, Inc: Product Portfolio
  • Table 8.4: Cisco Systems Inc.: Product Portfolio
  • Table 8.5: C3 IoT: Product Portfolio
  • Table 8.6: General Electric: Product Portfolio
  • Table 8.7: HCL Technologies Ltd.: Product Portfolio
  • Table 8.8: Huawei Technologies Co., Ltd.: Product Portfolio
  • Table 8.9: IBM Corporation: Product Portfolio
  • Table 8.10: Intel Corporation: Product Portfolio
  • Table 8.11: Kellton Tech Solutions Ltd: Product Portfolio
  • Table 8.12: Microsoft Corporation: Product Portfolio
  • Table 8.13: Oracle Corporation: Product Portfolio
  • Table 8.14: Rockwell Automation Inc.: Product Portfolio
  • Table 8.15: SAP SE: Product Portfolio
  • Table 8.16: Schneider Electric: Product Portfolio
  • Table 8.17: Enel X North America, Inc.: Product Portfolio
  • Table 8.18: Equinor ASA: Product Portfolio
  • Table 8.19: Ingersoll Rand Plc: Product Portfolio
  • Table 8.20: Schlumberger Limited: Product Portfolio

List of Figures

  • Figure 1: Artificial Intelligence in Oil & Gas Industry
  • Figure 2: Driving and Restraint Factors in the Global Artificial Intelligence in Energy Market
  • Figure 3: Global Artificial Intelligence in Energy Market Snapshot
  • Figure 4: Global Artificial Intelligence in Energy (by Product Offering), $Million, 2019 and 2024,
  • Figure 5: Global Artificial Intelligence in Energy Market (by Application), $Million, 2019-2024
  • Figure 6: Global Artificial Intelligence in Oil & Gas Market (by Industry Stream), $Million, 2019 and 2024
  • Figure 7: Global Artificial Intelligence in Power Market (by Industry Stream), $Million, 2019 and 2024
  • Figure 8: Regional Artificial Intelligence in Energy Market Snapshot
  • Figure 1.1: Market Dynamics
  • Figure 1.2: Global Energy Demand Projection, 2015-2040
  • Figure 2.1: Market Strategies Adopted by the Key Players (January 2017-September 2019)
  • Figure 2.2: Share of Key Market Strategies and Developments (January 2017-September 2019)
  • Figure 2.3: Partnerships, Collaborations, and Joint Ventures Share (by Company)
  • Figure 2.4: New Product Launches and Developments Share (by Company)
  • Figure 2.5: Business Expansions and Contracts Share (by Company)
  • Figure 2.6: Mergers and Acquisitions Share (by Company)
  • Figure 2.7: Competitive Benchmarking Matrix
  • Figure 3.1: Stakeholders of AI in Energy Market
  • Figure 3.2: Process Flow Chart of Power Industry
  • Figure 3.3: Process Flow Chart of Oil & Gas Industry
  • Figure 3.4: Value Chain of Artificial Intelligence
  • Figure 3.5: An Overview of Artificial Intelligence Technology Ecosystem
  • Figure 3.6: Types of Artificial Intelligence Technology Based on Capability
  • Figure 3.7: Artificial Intelligence in Energy: Key Use Cases
  • Figure 3.8: Global Artificial Intelligence in Energy Market: Investment and Funding, November 2016-October 2019
  • Figure 3.9: Investment and Funding Landscape Share (by Product Offering), $Million, November 2016-October 2019
  • Figure 3.10: Investment and Funding Landscape Share (by Round), $Million
  • Figure 4.1: Industry Streams in Global AI in Energy Market
  • Figure 4.2: Global Artificial Intelligence in Upstream (in Oil & Gas) Market, 2018-2024
  • Figure 4.3: Major Activities in the Midstream Sector
  • Figure 4.4: Global Artificial Intelligence in Midstream (in Oil & Gas) Market, 2018-2024
  • Figure 4.5: Major Activities in the Downstream Sector
  • Figure 4.6: Global Artificial Intelligence in Downstream (in Oil & Gas) Market, 2018-2024
  • Figure 4.7: Global Artificial Intelligence in Generation (in Power) Market, 2018-2024
  • Figure 4.8: Major Activities in the Transmission Sector
  • Figure 4.9: Global Artificial Intelligence in Transmission (in Power) Market, 2018-2024
  • Figure 4.10: Global Artificial Intelligence in Distribution (in Power) Market, 2018-2024
  • Figure 5.1: Global Artificial Intelligence Software in Energy Market, $Million, 2018-2024
  • Figure 5.2: Advantages of Software as a Service (SaaS)
  • Figure 5.3: Global Artificial Intelligence Hardware in Energy Market, 2018-2024
  • Figure 5.4: Hardware Product Offerings in Global Artificial Intelligence in Energy Market
  • Figure 5.5: Advantages of Artificial Intelligence as a Service (AIaaS)
  • Figure 5.6: Global AI-as-a-Service in Energy Market, $Million, 2018-2024
  • Figure 5.7: Key Artificial Intelligence Support Services in Energy Market
  • Figure 5.8: Global Artificial Intelligence Support Services in Energy Market, 2018-2024
  • Figure 6.1: Key Applications in Global Artificial Intelligence in Energy Market
  • Figure 6.2: Key Applications of Artificial Intelligence in Oil & Gas Industry
  • Figure 6.3: Fleet and Asset Management in Global Artificial Intelligence in Oil & Gas Market (by Application), 2018-2024
  • Figure 6.4: Precision Drilling in Global Artificial Intelligence in Oil & Gas Market (by Application), 2018-2024
  • Figure 6.5: Demand Forecasting in Global Artificial Intelligence in Oil & Gas Market (by Application), 2018-2024
  • Figure 6.6: Other Applications in Global Artificial Intelligence in Oil & Gas Market (by Application), 2018-2024
  • Figure 6.7: Key Artificial Intelligence Applications in Power Industry
  • Figure 6.8: Renewable Energy Management in Global Artificial Intelligence in Power Market (by Application), 2018-2024
  • Figure 6.9: Artificial Intelligence based Process for Renewable Energy Forecast
  • Figure 6.10: Infrastructure Management in Global Artificial Intelligence in Power Market (by Application), 2018-2024
  • Figure 6.11: Demand Response Management in Global Artificial Intelligence in Power Market (by Application), 2018-2024
  • Figure 6.12: Other Applications in Global Artificial Intelligence in Power Market (by Application), 2018-2024
  • Figure 7.1: Global Artificial Intelligence in Energy Regional Market Snapshot
  • Figure 7.2: North America Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.3: U.S. Electricity Generation (by Sector) in 2018
  • Figure 7.4: U.S. Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.5: Canada Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.6: Rest-of-North America Artificial Intelligence in Energy Market, $Million, 2018-2024
  • Figure 7.7: Europe Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.8: The U.K. Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.9: Germany Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.10: France Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.11: Norway Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.12: Rest-of-Europe Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.13: Asia-Pacific Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.14: China Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.15: Japan Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 7.16: Australia Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.17: India Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.18: Rest-of-Asia-Pacific Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.19: RoW Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.20: Saudi Arabia Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.21: U.A.E Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.22: Brazil Artificial Intelligence in Energy Market, 2018-2024
  • Figure 7.23: Rest- of- RoW Artificial Intelligence in Energy Market, 2018-2024, $Million
  • Figure 8.1: Segmentation of Key Companies Profiled by Type of Company
  • Figure 8.2: Accenture PLC: Overall Financials, 2016-2018
  • Figure 8.3: Accenture Plc: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.4: Accenture PLC: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.5: Research and Development: Accenture PLC - 2016 to 2018
  • Figure 8.6: Accenture PLC: SWOT Analysis
  • Figure 8.7: Amazon.com, Inc.: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.8: Amazon.com, Inc.: SWOT Analysis
  • Figure 8.9: AutoGrid Systems, Inc: SWOT Analysis
  • Figure 8.10: Cisco Systems Inc.: Overall Financials, 2016-2018
  • Figure 8.11: Cisco Systems Inc.: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.12: Cisco Systems: Net Revenue (by Region), 2016-2018
  • Figure 8.13: Cisco Systems Inc.: SWOT Analysis
  • Figure 8.14: C3 IoT: SWOT Analysis
  • Figure 8.15: General Electric: Overall Financials, 2016-2018
  • Figure 8.16: General Electric: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.17: General Electric: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.18: General Electric: Research and Development: 2016-2018
  • Figure 8.19: General Electric: SWOT Analysis
  • Figure 8.20: HCL Technologies Ltd.: Overall Financials, 2017-2019
  • Figure 8.21: HCL Technologies Ltd.: Net Revenue (by Business Segment), 2017-2019
  • Figure 8.22: HCL Technologies Ltd.: Net Revenue (by Regional Segment), 2017-2019
  • Figure 8.23: HCL Technologies Ltd.: SWOT Analysis
  • Figure 8.24: Huawei Technologies Co., Ltd.: Overall Financials, 2016-2018
  • Figure 8.25: Huawei Technologies Co., Ltd.: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.26: Huawei Technologies Co., Ltd.: Net Revenue (by Region), 2016-2018
  • Figure 8.27: Huawei Technologies Co., Ltd.: SWOT Analysis
  • Figure 8.28: IBM Corporation: Overall Financials, 2016-2018
  • Figure 8.29: IBM Corporation: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.30: IBM Corporation: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.31: IBM Corporation: R&D Expenditure, 2016-2018
  • Figure 8.32: IBM Corporation: SWOT Analysis
  • Figure 8.33: Intel Corporation: Overall Financials, 2016-2018
  • Figure 8.34: Intel Corporation: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.35: Intel Corporation: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.36: Research and Development: Intel Corporation - 2016 to 2018
  • Figure 8.37: Intel Corporation: SWOT Analysis
  • Figure 8.38: Kellton Tech Solutions Ltd: Overall Financials, 2017-2019
  • Figure 8.39: Kellton Tech Solutions Ltd: Net Revenue (by Business Segment), 2017-2019
  • Figure 8.40: Kellton Tech: Net Revenue (by Region), 2017 and 2019
  • Figure 8.41: Kellton Tech: SWOT Analysis
  • Figure 8.42: Microsoft Corporation: Overall Financials, 2016-2018
  • Figure 8.43: Microsoft Corporation: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.44: Microsoft Corporation: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.45: Research and Development: Microsoft Corporation - 2016 to 2018
  • Figure 8.46: Microsoft Corporation: SWOT Analysis
  • Figure 8.47: Oracle Corporation: Overall Financials, 2016-2018
  • Figure 8.48: Oracle Corporation: Net Revenue by Business Segment, 2017-2018
  • Figure 8.49: Oracle Corporation: Net Revenue by Regional Segment, 2017-2018
  • Figure 8.50: Research and Development: Oracle Corporation - 2016 to 2018
  • Figure 8.51: Oracle Corporation: SWOT Analysis
  • Figure 8.52: Rockwell Automation Inc.: Overall Financials, 2016-2018
  • Figure 8.53: Rockwell Automation Inc.: Net Revenue (by Business Segment), 2016-2018
  • Figure 8.54: Rockwell Automation Inc.: Net Revenue (by Regional Segment), 2016-2018
  • Figure 8.55: Research and Development: Rockwell Automation - 2016 to 2018
  • Figure 8.56: Rockwell Automation Inc.: SWOT Analysis
  • Figure 8.57: SAP SE: Overall Financials, 2016-2018
  • Figure 8.58: SAP SE: Net Revenue by Business Segment, 2016-2018
  • Figure 8.59: SAP SE: Net Revenue by Regional Segment, 2016-2018
  • Figure 8.60: SAP SE: SWOT Analysis
  • Figure 8.61: Wipro Limited: Overall Financials, 2017-2019
  • Figure 8.62: Wipro Limited: Net Revenue (by Business Segment), 2018-2019
  • Figure 8.63: Wipro Limited: Net Revenue by Regional Segment, 2018-2019
  • Figure 8.64: Wipro Limited: SWOT Analysis
  • Figure 9.1: Artificial Intelligence in Energy Market Scope
  • Figure 9.2: Report Methodology
  • Figure 9.3: Primary Interviews Breakdown, by Company, Designation, and Region
  • Figure 9.4: Sources of Secondary Research
  • Figure 9.5: Data Triangulation
  • Figure 9.6: Top-Down and Bottom-Up Approach for Market Estimation