The Critical Role Of Predictive Maintenance In The Power Industry's Future
Predictive maintenance is a forward-thinking strategy that allows for the anticipation of equipment malfunctions before they occur. By leveraging advanced analytics and monitoring technologies, power utilities can predict potential issues, thereby minimizing downtime and optimizing productivity.
Predictive maintenance is gaining traction in renewables as it can perform multiple functions in the solar and wind O&M space such as improvement of power plant efficiency, reduction of operational expenses, and mitigation of unplanned outages. Predictive maintenance with generative AI will help power companies minimize equipment downtime, optimize maintenance schedules, and reduce costs.
Report Scope
- The report focuses on predictive maintenance in power as a theme. It provides an industry insight on how predictive maintenance drives proactive maintenance strategy and can deliver efficient power generation. The report delivers technology briefing on predictive maintenance right from reactive to proactive approach. The report covers technology and macroeconomic trends in predictive maintenance. The report discusses the role of generative AI in predictive maintenance. The report covers mergers & acquisitions (M&As), venture financing deals and patent trends in predictive maintenance. The report briefs on growing application of predictive maintenance in renewables and its use cases in power utilities. The report provides an overview on competitive position held by power utility companies adopting predictive maintenance in business operations.
Reasons to Buy
- A comprehensive analysis on the growing market trend of predictive maintenance technology in power industry. The report provides an overview of the leading players in predictive maintenance theme and where do they fit in the value chain. Technology briefing on reactive approach, preventive approach, condition-based approach and predictive approach maintenance. A briefing on different predictive maintenance technologies in power industry and detailed analysis of predictive maintenance value chain. Company profiles of leading adopters of predictive maintenance technology in power sector. An overview of predictive maintenance technology service and solution providers. The report emphasizes the role of generative AI in predictive maintenance and discusses how it will transform renewables. A snapshot of power sector scorecard predicting the position of leading power utilities in predictive maintenance theme.
Key Topics Covered:
- Executive Summary Players Technology Briefing Trends Industry Analysis Signals Value Chain Companies Sector Scorecards
Company Coverage:
- Ameren American Electric Power Avangrid Duke Energy EDF E.ON Enel ENGIE Fortum Iberdrola KEPCO Orsted Southern Company Vattenfall Emerson GE Honeywell SKF ABB AT&T Cisco Ericsson Amazon Microsoft Rockwell Automation Schneider Electric Siemens Google Accenture AVEVA Capgemini Genpact Hitachi Energy IBM SAP
For more information about this report visit
About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
CONTACT: CONTACT: Laura Wood,Senior Press Manager ... For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
Legal Disclaimer:
MENAFN provides the
information “as is” without warranty of any kind. We do not accept
any responsibility or liability for the accuracy, content, images,
videos, licenses, completeness, legality, or reliability of the information
contained in this article. If you have any complaints or copyright
issues related to this article, kindly contact the provider above.

Comments
No comment