Artificial Intelligence in Energy Market 2021 | Worldwide Industry Share, Size, Gross Margin, Trend, Future Demand, Analysis by Top Leading Player and Forecast 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 Artificial Intelligence in Energy report is also furnished with beneficial strategic recommendations that will enable the companies to fortify their market positions. The report covers a detailed investigation of the cost analysis and geographical bifurcation to impart a thorough understanding of the Artificial Intelligence in Energy market.
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The report provides an in-depth analysis of the competitive landscape and covers profiling of the key players along with their product portfolios, Artificial Intelligence in Energy market position, production and manufacturing capacity, business strategies, lucrative alliances and partnerships, extensive research and development activities, revenue contribution, and gross profit margins.
Key players in the market include Accenture PLC, 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.
Pivotal feature in the Report
- 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.
- Power industry segment revenue is expected to expand at a rapid CAGR of 23.8% during the forecast period. Rising need to make the power industry more secure and efficient by analyzing and evaluating data volumes is a key factor driving demand for Artificial Intelligence solutions in the power industry.
Vernacular analysis covers a comprehensive breakdown of the market into key territorial to offer better insights about production volume information, consumption volume and patterns, revenue, trends and demands, supply and demand dynamics, import/export, and presence of key players in each region along with revenue share, revenue growth, and CAGR.
An extensive interpretation of the Global Artificial Intelligence in Energy market based on the key geographies of the world offers a strategic insight into the market size and market share of the industry. The key regions include North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.
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Suspicion disintegrate in the report:
The Global Artificial Intelligence in Energy Market report offers an elaborate analysis of the different elements of the industry, such as product development and technological advancements, product types, applications, and major expansion strategies undertaken by prominent companies. The assessment has been done based on primary and secondary research with a special focus on technological advancements, prominent industry players and suppliers, and distributors operating in the industry.
Key Benefits of the Report:
- Comprehensive analysis of the competitive scenario and its changing dynamics
- Analytical data with detailed SWOT analysis and Porter’s Five Forces analysis
- In-depth 8 year analysis of the Global Artificial Intelligence in Energy Market
- Critical understanding of the key market segments
- Comprehensive analysis of the drivers, restraints, trends, and opportunities
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The data is garnered through stringent primary and secondary research and further validated and verified through industry veterans and experts. The report begins with basic information about the market, such as definitions, applications, classifications, value chain analysis, among others, to facilitate a better understanding among the readers.
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
The report is furnished with the latest changes in the market scenario and demand and supply ratios with regards to the currently unfolding COVID-19 pandemic. The research report offers an initial and future assessment of the impact of the COVID-19 pandemic on the industry and offers insights for the businesses to overcome the difficulties raised by the crisis.
Main chapters covered in this report:
Part 01: Market Overview
Part 02: Market Size, by regions
Part 03: Market Revenue, by countries
Part 04: Market Competition, by key players
Part 05: Company Profiles
The analysis is done on the basis of the authentic and relevant information obtained from in-depth primary and secondary research. Additionally, the factors expected to drive or restrain the growth of the market are studied extensively in the report.
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