Market Research Report
Global Artificial Intelligence in Energy Market: Focus on Product Type, Industry, Applications, Funding - Analysis and Forecast, 2019-2024
|Published by||BIS Research Inc.||Product code||920951|
|Published||Content info||259 Pages
Delivery time: 1-2 business days
|Global Artificial Intelligence in Energy Market: Focus on Product Type, Industry, Applications, Funding - Analysis and Forecast, 2019-2024|
|Published: December 23, 2019||Content info: 259 Pages||
"Global AI in Energy Market to Reach $7.78 Billion by 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.
"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."
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.
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.
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.