Global Remote and Predictive Medical Equipment Maintenance Market is set to witness a decent growth

BRUSSELS - July 25, 2022 - PRLog -- The remote and predictive maintenance of medical devices is becoming essential due to the growing digitalization and move toward connected devices and cloud-based infrastructure. The medical device industry is now increasingly embracing the use of advanced industry technologies such as Internet of Things (IoT), Artificial Intelligence (AI), and data analytics to resolve problems faster and effectively. The market for remote and predictive maintenance was growing but Covid-19 gave it a much-desired push.

Move from Preventive/Reactive Maintenance to Predictive Maintenance

Preventive maintenance is typically scheduled on a recurring basis but could be sometimes unplanned. It is based on the theoretical failure rate and not on actual machine data. Moreover, reactive maintenance is time-consuming and breaks the operations workflow leading to costly downtimes. On the other hand, predictive maintenance is maintenance performed only when needed based on analytics on historical data to forecast suggested times for pro-active inspection or maintenance.

Positive Impact of Covid-19 Pandemic on the Uptake of Remote Maintenance

Healthcare is one of the key industries which cannot afford extended downtime as it may cost a life. Preventing equipment outages at a distance is extremely important, as it enables the resolution of problems earlier and reduces both cost and downtime.

Shortage of employees and technicians, high demand for medical equipment/devices, and global supply chain disruption during the COVID-19 pandemic forced companies to think about remote solutions to minimize downtime and increase the equipment output for smoother care delivery. This resulted in a huge surge in demand for remote and predictive maintenance solutions all across the world.

Geographic Overview: Remote and Predictive Medical Equipment Maintenance Market

From a geographical perspective, North America has the largest share of the remote and predictive medical equipment maintenance market. This is mainly attributed to the significant presence of medical equipment OEMs and related software companies in this regions, advanced healthcare infrastructure, strict compliance, and a greater focus on minimizing costs to improve overall profitability.

Competitive Landscape Analysis: Remote and Predictive Medical Equipment Maintenance Market

The global remote and predictive medical equipment maintenance market is highly competitive and fragmented. Some of the established and emerging players operating in this market are Philips, Siemens Healthineers, GE Healthcare, Fujifilm Healthcare, Canon Medical Systems, Draeger, Agfa, Transasia Bio-Medical, IBM, UptimeHealth, Kalypso, Karvy Analytics, InHand Networks, Althea, Accruent, Infinite Uptime, Robustel, Micromax Health, among others.

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