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AI In Energy Global Market is Dazzling Worldwide and Forecast to 2033 | Engie SA, Siemens AG, Iberdrola, Cisco Systems Inc., Databricks Inc.

04-19-2024 12:46 PM CET | IT, New Media & Software

Press release from: The Business research company

AI In Energy Global Market

AI In Energy Global Market

The ai in energy market size has grown exponentially in recent years. It will grow from $5.23 billion in 2023 to $6.39 billion in 2024 at a compound annual growth rate (CAGR) of 22.2%. The growth in the historic period can be attributed to data analytics for efficiency, demand response management, predictive maintenance, grid optimization, renewable energy integration..

The ai in energy market size is expected to see exponential growth in the next few years. It will grow to $13.36 billion in 2028 at a compound annual growth rate (CAGR) of 20.2%. The growth in the forecast period can be attributed to decentralized energy systems, energy storage management, smart cities and infrastructure, electrification of transportation, integration of edge computing.. Major trends in the forecast period include energy efficiency analytics, autonomous energy infrastructure, cybersecurity solutions, virtual power plants, edge ai for energy management..

Market Overview -
AI in energy refers to the application of artificial intelligence (AI) technologies and techniques in the energy sector to improve efficiency, optimize operations, and enhance decision-making. AI in energy includes data analysis, grid management and security, and demand response. AI in energy is used to maximize the recycling of materials used in renewable energy systems, such as solar panels, wind turbines, and hydroelectric dams.

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Surge In Microgrid Adoption Drives Growth Of AI In The Energy Market
The increasing use of microgrids is expected to propel the growth of AI in the energy market going forward. A microgrid is a localized energy system operating independently or in conjunction with the primary power grid. Microgrids play a significant role in integrating and optimizing AI technology within the energy sector, enabling intelligent energy management, grid optimization, and the integration of renewable energy sources. These help in AI energy applications like demand response, load balancing, and the integration of renewable energy. AI in the energy market is seeing significant growth as there is an increase in the use of microgrids. For instance, according to a November 2021, according to the Guidehouse, a US-based consulting firm, in the US around 979 megawatt of renewable microgird capacity was installated in 2021 and it is expected to reach 32,470 MW by 2030. Therefore, the increasing use of microgrids is expected to drive the growth of AI in the energy market going forward.

Competitive Landscape -
Major companies operating in the ai in energy market report are Google, Microsoft Corporation, Engie SA, Huawei Technologies Co Ltd., Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Iberdrola, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., Flex Ltd., ABB Ltd, Duke Energy Corporation, Nvidia Corporation, Alpiq Holding AG, ATOS SE, Enel Green Power S.p.A., Databricks Inc., C3 AI, Uptake Technologies, Sentient Energy Inc., AutoGrid Systems Inc., Arundo Analytics Inc., Bidgely Inc., Verdigris Technologies, Greenbird Integration Technology AS, AppOrchid Inc., Ecube Labs Co. Ltd

Ericsson Unleashes Ai-Powered Energy Infrastructure Operations For Optimal Energy Management In The Telecom Sector
Technological advancements are a key trend gaining popularity in AI in the energy market. Major companies operating in AI in the energy market are adopting new technologies to sustain their position in the market. For instance, in February 2022, Telefonaktiebolaget LM Ericsson, a Sweden-based IT services and IT consulting company, launched an AI-powered Energy Infrastructure Operations, which is an energy management system that helps communications service providers reduce their energy use across their network infrastructure by utilizing artificial intelligence and cutting-edge data analytics. Using AI power, energy infrastructure operations can decrease energy related OPEX by 15%, site visits related to passive infrastructure by 15%, and 30% of outages due to energy. Reducing OPEX and CO2 emissions for communications service providers by utilizing AI and data analytics to maximize energy efficiency and site availability.

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https://www.thebusinessresearchcompany.com/report/ai-in-energy-global-market-report

Key Segments -
The ai in energy market covered in this report is segmented -
1) By Offering: Support Services, Hardware, AI-As-A-Service, Software
2) By Deployment: On-Premise, Cloud
3) By Application: Demand Response Management, Fleet And Asset Management, Renewable Energy Management, Precision Drilling, Demand forecasting, Infrastructure Management, Other Applications
4) By End User: Energy Transmission, Energy Generation, Energy Distribution, Utilities, Other End Users

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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