May 17, 2024

The Machine Condition Monitoring Market Is Expected To Be Flourished By Growing Demand For Predictive Maintenance

The machine condition monitoring market involves products, solutions and services used to monitor vital signs or conditions of industrial machines and identify potential problems that can cause unplanned downtime. It helps detect any issues in equipment like motors, pumps, gearboxes and turbines used across industries like oil & gas, metals & mining, power generation and food & beverages. Condition monitoring solutions detect faults by analyzing vibrations, acoustic emissions, temperature changes, process parameters, oil analysis or other machine sensory inputs. This helps predict maintenance requirements, avoid production losses and reduce costs associated with unexpected breakdowns.

The global Machine Condition Monitoring Market is estimated to be valued at Us$ 3965.6 Mn in 2023 and is expected to exhibit a CAGR Of 9.1% over the forecast period 2023 To 2030, as highlighted in a new report published by Coherent Market Insights.

Market Dynamics:

The growing demand for predictive maintenance across industries is a key driver expected to fuel the machine condition monitoring market over the forecast period. Predictive maintenance relies on data collected through real-time condition monitoring to detect anomalies, predict failures and schedule maintenance as required. This helps eliminate downtimes, save costs on unnecessary repairs and extend equipment lifespan. As mentioned earlier, the increasing focus on preventing unexpected breakdowns is also driving the adoption of advanced condition monitoring solutions that can continuously track equipment health and warn about potential malfunctions. Further, improving technological capabilities are enabling more compact and wireless sensor devices as well as advanced data analytics solutions for asset performance management. This is boosting the popularity of condition monitoring across different industrial verticals.

Segment Analysis

The machine condition monitoring market is dominating by vibration monitoring segment, which accounts for more than 30% share of the overall market. Vibration monitoring is widely used technique for condition monitoring of various rotating and reciprocating equipment across industries. It helps in early detection of faults and prevents unexpected downtime. Other major segments include thermography, lubricating oil analysis, acoustic emission and ultrasound testing.

PEST Analysis

Political: Governments across regions are promoting adoption of predictive maintenance practices through initiatives to optimize resource utilization and increase industrial productivity.

Economic: Rising operating & maintenance costs of aging assets is driving companies to implement machine condition monitoring solutions to improve equipment reliability.

Social: Growing focus on workplace safety and asset integrity is increasing incorporation of condition monitoring systems in industries.

Technological: Introduction of integrated solutions combining multiple parameters and analytics is augmenting automated diagnosis of equipment health.

Key Takeaways

The Global Machine Condition Monitoring Market Demand  is expected to witness high growth. North America region currently dominates the market due to large presence of heavy industries and proactive maintenance practices followed by companies. Europe and Asia Pacific are the fastest growing regions with China emerging as major market on back of government support for smart manufacturing.

Key players operating in the machine condition monitoring market are Meggitt Sensing Systems, SKF, Brüel & Kjaer Vibro, Parker Kittiwake, Rockwell Automation, Thermo Fisher Scientific, GE Bently Nevada, Perkin Elmer, Emerson Electric, Gastops, Nippon Avionics, AMETEK Spectro Scientific, FLIR Systems and Fluke Corporation. Vibration monitoring dominates the market. Integrated solutions combining multiple condition parameters are augmenting automated diagnosis of equipment health.

Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it