The Global Artificial Intelligence in Energy Market report provides vital information that prepares market players to give fierce competition to their toughest competitors based on growth, sales, and revenue, among other essential factors. The study has been conducted on the basis of inputs from the industry leaders. Thus, a conscious effort to dive deep and unearth hard to find information pertaining to the growing market landscape and growth prospects over the next few years is clearly visible in the study. The market intelligence report further comprises of discussions about the major vendors operating in the Artificial Intelligence in Energy space

Adoption of Artificial Intelligence solutions among oilfield services providers and operators has been increasing and is driving deployment of Artificial Intelligence solutions in oil gas industries. Rising need to identify improper threading in pipelines or defects in error-prone mechanisms is driving utilization of Artificial Intelligence-powered defect detection solutions in oil gas industries.                     

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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.
• North America accounted for largest revenue share contribution to the global Artificial Intelligence in energy market in 2020. Increasing adoption of Artificial Intelligence-based smart meters and smart home solutions is contributing to growing demand for AI in the energy sector in countries in the region.
• 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.

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

Competitive Landscape:

The latest study provides an insightful analysis of the broad competitive landscape of the global Artificial Intelligence in Energy Market , emphasizing the key market rivals and their company profiles. A wide array of strategic initiatives, such as new business deals, mergers acquisitions, collaborations, joint ventures, technological upgradation, and recent product launches, undertaken by these companies has been discussed in the report. The report analyzes various elements of the market’s competitive scenario, such as the regulatory standards and policies implemented across the industry over recent years.

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Questions addressed in the report:

• What is the estimated market growth rate throughout the forecast period?
• Which end-use industry is expected to witness the highest demand for Artificial Intelligence in Energy market in the near future?
• What is the regulatory framework governing the application of Artificial Intelligence in Energy Market in the food industry?
• Which manufacturing processes are utilized for the production of Artificial Intelligence in Energy Market ?

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