Machine Condition Monitoring Market Share, Size, Trends, Industry Analysis Report, By Component (Hardware, Software, Services); By Deployment Type; By Region; Segment Forecast, 2022 – 2030
The global machine condition monitoring market size is expected to reach USD 5.0 billion by 2030, according to a new study by Polaris Market Research. The report “Machine Condition Monitoring Market Share, Size, Trends, Industry Analysis Report, By Component (Hardware, Software, and Services); By Deployment Type; By Region; Segment Forecast, 2022 – 2030” provides a thorough understanding of the dynamics of the market now and analyses how the market will expand in the future.
Increasing awareness of the benefits of machine condition monitoring is likely to boost market revenue growth during the forecast period. In addition, growing uses of wireless technology to assist equipment monitoring and rising inclination of end users towards predictive maintenance are collectively driving the market.
Machine condition monitoring helps production facility owners to understand the state of machines so that maintenance may be performed quickly and at the appropriate time. Conditioning can identify bearing problems, shaft unbalance, detached mounting, overheating, load misalignment, gear-tooth failure, stator eccentricity, and other catastrophic machine failures.
Predictive Maintenance engineers (PDM’s) evaluate the state of machinery, also known as Condition Based Monitoring (CBM), to avert catastrophic breakdowns and enhance labor productivity.
This assists manufacturer in reducing downtime, lowering maintenance costs, improving performance, and increasing firm profitability. Machine condition monitoring software, hardware, and data gathering systems provide various advantages to manufacturing companies in terms of data transfer with a single click. Through an Internet of Things (IoT) enabled system, they may also deliver machine warnings and status, examine real-time data, and monitor process parameters.
Furthermore, market growth is expected to accelerate due to the growing popularity of predictive maintenance strategies among manufacturers, private investors, and the government. Predictive maintenance is a strategy that employs data analysis tools to discover irregular operations and procedures before breakdown.
Furthermore, technological advancements in machine learning and big data analytics, favorable government regulations for the growth of manufacturing industries, and infrastructure developments due to rapid urbanization and industrialization are some of the key other factors expected to support market growth in the future.
However, emerging economies struggle to successfully implement machine condition monitoring systems and achieve next-level industrialization due to a shortage of data analysis personnel.
Machine Condition Monitoring Market Report Highlights
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