Artificial Intelligence in Energy Market Share, Recent Trends, Future Growth, Merger, Acquisition And Restraint Research Report by 2028

The global Artificial Intelligence in energy market is expected to reach a market size of USD 20.83 Billion at a steady CAGR of 23.6% in 2028, according to latest analysis by Emergen Research. This steady revenue growth can be attributed to increasing need to obtain operational efficiency to meet energy requirements. Digitalization of the energy sector is contributing to increasing demand for Artificial Intelligence in energy systems.

The Global Artificial Intelligence in Energy Market Research Report published by Emergen Research is furnished with the latest information about product specifications and portfolio, technological advancement, product type, and manufacturing. Major factors such as revenue, costs, and gross margin are taken into consideration while formulating this report. The report provides extensive data concerning the key market players along with their SWOT analysis, financial standing, technological and product development, and recent strategic business expansion plans.

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Global Artificial Intelligence in Energy Market – Overview:

The latest market intelligence report, titled ‘Global Artificial Intelligence in Energy Market’, is intended to provide the target audience with the necessary information about the global Artificial Intelligence in Energy industry. The report comprises a detailed analysis of the vital elements of the Artificial Intelligence in Energy market, including key drivers, constraints, opportunities, limitations, threats, and micro- and macro-economic factors. The report carefully investigates the present market scenario and the fundamental growth prospects.

Key Highlights of Report

• In July 2020, Petro.ai, which is an expert in machine learning and Artificial Intelligence for geotechnical data science and providers of the industry-leading integrated analytics platform, announced the launch of a new offering enabling modern analytics from legacy data lakes using integrated data ingestion pipelines on Amazon Web Services (AWS). Petro.ai on AWS leverages the scalability and flexibility of AWS infrastructure to accelerate discovery of oil and gas insights through the fusion of subsurface and operational data.
• The software segment accounted for largest revenue share of 2020. Artificial Intelligence-driven software is expected to improve customer savings by controlling energy costs without interrupting operations, which is expected to drive revenue growth of the software segment.

Competitive Landscape:

The key players in the market are adopting various strategies such as mergers and acquisitions, product launches, partnerships, collaborations and brand promotions to retain their market position and enhance their product base.  The report also sheds light on the market players in the global Artificial Intelligence in Energy Market with important details about each market player such as its global position, financial standing, production and manufacturing capacity, license agreement, and business expansion plans.

Key Companies in the market include: Amazon Web Services, Inc., AutoGrid Systems, Inc, Cisco Systems Inc., C3 IoT, Inc., General Electric, HCL Technologies Ltd., Huawei Technologies Co., Ltd., IBM Corporation, and Intel Corporation.

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The primary aim of the report is to offer precise information to the readers and investor and help them invest after understanding the market dynamics at glance. The report offers in depth information about the competitive landscape of the global Artificial Intelligence in Energy Market with extensive profiling of each market player with its global position, financial standing, business expansion plans, and license agreement.

Regional Analysis:

The report sheds light on the region expected to dominate the Artificial Intelligence in Energy market in the coming years. The report estimates the market size in terms of volume and value and offers an accurate estimate of the market share each region is anticipated to hold during the forecast period. The report analyzes the spread of the Artificial Intelligence in Energy market in key geographies covering North America, Latin America, Europe, Asia Pacific, and Middle East & Africa. The regional analysis offers an idea about the production and consumption pattern, import/export, supply and demand ratio, revenue contribution, market share and size, and the presence of prominent players in each region.

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Emergen Research has segmented the global Artificial Intelligence in energy market on the basis of product offering, industry stream, application, and region:

• Product offering Outlook (Revenue, USD Billion; 2021–2028)
  • Support Services
  • Hardware
  • AI-as-a-Service
  • Software
• Industry stream Outlook (Revenue, USD Billion; 2021–2028)
  • Power Industry (Generation, Transmission, Distribution)
  • Oil & Gas Industry (Upstream, Midstream, Downstream)
• Application Outlook (Revenue, USD Billion; 2021–2028)
  • Demand Response Management
  • Fleet & asset Management
  • Renewable Energy Management
  • Precision Drilling
  • Demand forecasting
  • Infrastructure Management
  • Others

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Table of Content

Chapter 1. Methodology & Sources

1.1. Artificial Intelligence in Energy Market Definition

    1.2. Research Scope 

    1.3. Methodology

    1.4. Research Sources

          1.4.1. Primary

          1.4.2. Secondary

          1.4.3. Paid Sources

    1.5. Artificial Intelligence in Energy Market Estimation Technique

Chapter 2. Executive Summary

2.1. Summary Snapshot, 2021-2028

Chapter 3. Key Insights

Chapter 4. Artificial Intelligence in Energy Market Segmentation & Impact Analysis

4.1. Artificial Intelligence in Energy Market Material Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Artificial Intelligence in Energy Market indicators analysis

          4.2.2. Artificial Intelligence in Energy Market drivers analysis

Key Questions Answered in the Report:

• What is the growth rate of the Artificial Intelligence in Energy market? What is the anticipated market valuation of Artificial Intelligence in Energy industry by 2028?
• What are the key growth driving and restraining factors of the Artificial Intelligence in Energy market?
• Who are the prominent players operating in the market? What are the key strategies adopted by these companies?
• What are the key opportunities and growth prospects of the Artificial Intelligence in Energy industry over the forecast period?
• Which region is expected to show significant growth in the coming years?

Continued…

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