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Predictive Maintenance Market 2028 Forecasts Research Report
Predictive maintenance is condition monitoring plan and observing an equipment performance to reduce the risk of a failure under normal operating conditions. This maintenance is to anticipate a failure and then try to avoid it by corrective maintenance. Predictive maintenance focuses on preventive measures can be taken while predicting and determining device/equipment failure. Predictive maintenance can minimize several concerns related to reliability and quality. Execution of these predictive maintenance solutions with the help of IoT technologies helps organizations in minimizing the downtime and operations and maintenance cost.
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Based on the end user, the healthcare and life sciences segment is going to have lucrative growth during the forecast period owing to the fact that predictive maintenance of healthcare equipment such as X-ray, MR, tomography, and mammography is one of the most important considerations for hospitals looking to improve decision-making capabilities and improve operational efficiencies. By geography, North America is going to have high growth during the forecast period due to due to the presence of well-established end-user industries as well as high awareness among organizations to adopt technologies that help them in increasing efficiency and lower operational costs.
Some of the key players profiled in the Predictive Maintenance Market include Schneider Electric, Software AG, Microsoft, IBM, SAP SE, Hitachi, Google, Oracle, Amazon Web Services (AWS), General Electric, PTC, Axiomtek Co. Ltd, Banner Engineering Corp., Predictive Maintenance Solutions, LLC and Sigma IT.
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