Press release
AI In Energy Market Size, Growth Analysis, Top Segments 2024-2033
AI In Energy Market
The Business Research Company offers in-depth market insights through AI In Energy Global Market Report 2024, providing businesses with a competitive advantage by thoroughly analyzing the market structure, including estimates for numerous segments and sub-segments.
Market Size And Growth Forecast:
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..
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Market Segmentation:
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
Major Driver - 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
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Top Trend - 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.
The Table Of Content For The Market Report Include:
1. Executive Summary
2. AI In Energy Market Characteristics
3. AI In Energy Market Trends And Strategies
4. AI In Energy Market - Macro Economic Scenario
5. AI In Energy Market Size And Growth
…..
27. AI In Energy Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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The Business Research Company (www.thebusinessresearchcompany.com) is a market intelligence firm that pioneers in company, market, and consumer research. Located globally, TBRC's consultants specialize in various industries including manufacturing, healthcare, financial services, chemicals, and technology. The firm has offices located in the UK, the US, and India, along with a network of proficient researchers in 28 countries.
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