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Ai In Energy Market

AI in Energy Market by Component Type (Solutions and Services), Deployment Type (On-premise and Cloud), Application (Robotics, Renewables Management, Demand Forecasting, Safety & Security, Infrastructure, and Others), and End User (Energy Transmission, Energy Generation, Energy Distribution, and Utilities): Global Opportunity Analysis and Industry Forecast, 2021-2030

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Sep 2022 | 1085 Views
Author(s) : Vineet Kumar
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Pandemic disrupted the entire world and affected many industries.

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AI in Energy Market Statistics - 2030

Artificial intelligence (AI) is an extent of computer technology that highlights the formation of intelligent machines that works and reacts like humans. In addition, considering advanced technologies, it creates extreme changes and effects of AI technology in the energy and utility market which can be seen in their applications such as smart automated grid and energy distribution system. High investment is one of the biggest challenges that impede the growth of this technology in the energy and utilities sector. This sector involves in production and distribution of energy constitutes such as oil & gas, and power generation.

Market Scope and Structure Analysis

Report Metric


  Market Size Available for the Years


  Base Year Considered


  Forecast Period


  Forecast Unit

  Value (USD)

  Segments Covered

  • Component Type
  • Deployment Type
  • Application
  • End User
  • Region

  Regions Covered

  • North America (U.S. and Canada),
  • Europe (Germany, UK, France, and the rest of Europe),
  • Asia-Pacific (China, Japan, India, and the rest of Asia-Pacific).
  • LAMEA (Latin America, Middle East, and Africa)

  Companies Covered


1.    ABB Ltd.

2.    Alphabet Inc.

3.    Flex Ltd.

4.    General Electric Co.

5.    Intel Corp.

6.    International Business Machines Corp.

7.    Microsoft Corp.

8.    Origami Energy Ltd.

9.    Siemens AG

10.  Verdigris Technologies Inc.

11.  Others.


Impact of COVID-19 on AI in Energy Market-

  • The emergence of COVID-19 pandemic has severely affected almost all industries across the world. Further, the energy sector has already felt the impact of Covid-19. The outbreak has contributed to a decrease in demand for oil, resulting in plummeting prices, whereas decline in production as well as resources in various countries has disrupted the supply chain of electronic components & networking equipment. Thus, this has led to delay in supply of electronic components required in manufacturing of network equipment.
  • It is expected that the U.S. and global energy market growth has been decreased by nearly 2% in 2021, due to which ICT spending in major economies such as the U.S. have declined in the first half of 2021, but it is expected to recover in the second half.
  • In addition, COVID-19 is having an especially negative impact on the renewables sector. One of the main problems is related to the delivery of equipment to power plants. China, which is among the countries most heavily affected by the coronavirus, is the main global producer of many clean energy technologies, such as solar panels, wind turbines, and batteries.
  • Furthermore, there are strong indications that the current decrease in demand for technology and digital solutions can be just a short-term phenomenon. In the medium-to-long run, the impact of COVID-19 on technology may be extremely positive, as everyone is forced to embrace new technologies and discover their benefits. Additional investments in digital infrastructure can be expected.

Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Artificial intelligence software in energy market came up with growth in software market due to increase in implementation of cloud based solution and growth in adoption of micro grids technology, and it is likely to see the fastest growth during pandemic and increase in the number of renewable energy producers in emerging economies such as China and India. In addition, North America was the largest AI in energy market in 2019, and offered several growth opportunities to market vendors during the forecast period. However, AI in energy market disintegrated. Some of the major market vendors such as ABB Ltd, Alphabet Inc., Flex Ltd, General Electric Co, Intel Corp, International Business Machines Corp, Microsoft Corp, Origami Energy Ltd,  Siemens AG and Verdigris Technologies Inc. which are used to help many clients improve their market condition and provides a detailed analysis of the market.

Increase in Adoption of Cloud Based Solutions

Increase in adoption of cloud based solutions in AI is one of the major trends in the energy sector to enhance the capabilities of existing systems. In addition, with the rise applications of robotics management in tedious and risky tasks, end users are increasingly seeking opportunities to ensure the rejection of margins of industrial automation and robotics technologies.

Rise of Micro-grid Adoption

AI provides a certain amount of capability to balance micro-grids, demands, negotiate actions, self-healing and facilitating ability for new software and services. Micro-grid adoption in AI, particularly evolving and growing rapidly due to implementation of smart cities is expected to drive the energy market. In addition, many    government sectors and organizations have started investigating the viability of micro-grids to enable persistence of service during an emergency or power outage. Furthermore, with the evolution of different technologies such as distributed energy resources and block-chain, AI has prospective to deliver the active management which is the requirement of the future.

Key Segments Covered



  Component Type

  • Solutions
  • Services


  Deployment Type

  • On-premise
  • cloud


  • Robotics
  • Renewables Management
  • Demand forecasting
  • Safety & Security
  • Infrastructure
  • Others

  End User

  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities


Key Benefits of the Report

  • This study presents the analytical depiction of the global AI in energy market with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of global AI in energy market share.
  • The current market is quantitatively analyzed from 2020 to 2030 to highlight the growth scenario of the global AI in energy market.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers in the market.
  • The report provides detailed global AI in energy market analysis based on competitive intensity and how the competition will take shape in coming years.

Questions Answered in the Global AI in Energy Market Research Report

  • Which are the leading players active in the AI in energy market?
  • What would be the detailed impact of COVID-19 on the market?
  • What current trends would influence the market in the next few years?
  • What are the driving factors, restraints, and opportunities in the AI in energy market?
  • What are the projections for the future that would help in taking further strategic steps?

Key Market Segments & Key Market Players

Segments Sub-segments
By Component
  • Solutions
  • Services

By Function
  • Predictive maintenance and machinery inspection
  • Material movement
  • Production planning
  • Field services
  • Quality control
  • Reclamation

By Application
  • Upstream
  • Downstream
  • Midstream

By Region
  • North America
    • U.S.
    • Canada
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Thailand
    • Malaysia
    • Indonesia
    • Rest of Asia-Pacific
    • Latin America
    • Middle East
    • Africa

Key Market Players
  • ABB Ltd.
  • Alphabet Inc.
  • Flex Ltd.
  • General Electric Co.
  • Intel Corp.
  • International Business Machines Corp.
  • Microsoft Corp.
  • Origami Energy Ltd.
  • Siemens AG
  • Verdigris Technologies Inc

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