Machine condition monitoring stands as a cornerstone within the realm of predictive maintenance, a methodology geared toward proactively assessing and managing machinery health. This multifaceted approach involves regular scrutiny of various facets of a machine's operation, encompassing mechanical condition, operational efficiency, and other critical indicators. The primary aim is to garner essential data that facilitates the optimization of maintenance intervals, curbing unplanned downtimes, and minimizing repair costs resulting from unexpected failures. By tracking and analyzing machine performance in real time, predictive maintenance offers a means to predict changes in machine conditions, allowing for strategic planning of maintenance activities.
The fundamental essence of predictive maintenance lies in its ability to preemptively identify potential issues or deterioration in machine health. Rather than adhering to rigid schedules for maintenance, this approach hinges on data-driven insights to forecast changes in machinery conditions. By leveraging advanced monitoring technologies and data analytics, businesses can gain a comprehensive understanding of a machine's health status. This proactive monitoring enables early detection of anomalies or deviations from normal functioning, paving the way for timely corrective actions or preemptive maintenance.
The escalating demand for enhancing maintenance efficiency and minimizing asset downtime has propelled the increasing adoption of predictive maintenance strategies. Organizations across industries are recognizing the pivotal role of predictive maintenance in transforming traditional maintenance practices. By transitioning from reactive approaches to more proactive and data-centric methodologies, companies can significantly mitigate risks associated with unplanned outages and unforeseen breakdowns.
The shift toward predictive maintenance heralds a paradigm change in the realm of machinery maintenance. It aligns with the modern pursuit of leveraging technology and data analytics to optimize operational efficiencies. Instead of merely responding to breakdowns or following fixed maintenance schedules, predictive maintenance empowers businesses to forecast potential issues, thus allowing for informed decision-making and optimized resource allocation.
In essence, predictive maintenance and its core component, machine condition monitoring, represent a strategic evolution in maintenance philosophy. This approach not only aims to maximize machinery uptime and minimize disruptions but also underscores the significance of leveraging data insights to drive informed, proactive maintenance practices.
Report Attribute/Metric | Details |
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Segment Outlook | End Use, Monitoring Type, Monitoring Process Type, and Region |
Machine Condition Monitoring Market Size was valued at USD 2.6825 billion in 2023. The Machine Condition Monitoring market industry is projected to grow from USD 2.8783 Billion in 2024 to USD 4.713 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 6.36% during the forecast period (2024 - 2032). The requirement to offer improved diagnostics and aid in determining the machine’s health are the key market drivers enhancing the market growth.
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Market CAGR for machine condition monitoring is being driven by the rising demand for sophisticated diagnostics to assess the machine's health. Manufacturers have looked for condition monitoring systems to improve, track, and maintain the operation of their machinery. In addition, the move towards lean manufacturing has compelled enterprises to look into condition monitoring to improve spare parts availability and cost forecasting, boost production efficiency, and reduce downtime.
Stakeholders have shown interest in condition monitoring for increased output, equipment longevity, elimination and reduction of downtime, minimising scrap components, and leveraging automation based on real-time machine status data. For instance, Doble Engineering Company, which provides asset health checks for the electric industry through diagnostic tests, services, and software, recently unveiled Calisto cable condition monitoring, a new product for medium and high voltage cable systems. The new Calisto cable provides safe and dependable cable operation while lowering the likelihood of failures, lowering total cost of ownership & solutions, and providing nearly essential real-time information about cable health.
Machine condition monitoring measures equipment parameters to detect changes that can portend an impending failure and to avert a breakdown. The method has become more popular in a variety of industries, including oil and gas, automotive, power generation, metal and mining, maritime, and aerospace. It is a crucial component of preventative maintenance that is becoming popular in order to extend asset life and reduce costs, maintain operator safety, and simplify operations. In addition, the proliferation of IoT has ushered in a paradigm shift that will promote device connectivity. Stakeholders have increased diagnostic efficiency and made more informed decisions as a result of the implementation of smart equipment.
For instance, to improve its condition monitoring services, ABB, a leader in automation and electrification technologies, teamed with Samotics, a provider of asset health monitoring systems, in September 2022. They will make use of the assets of each organisation to disseminate details regarding the well being and energy effectiveness of the machines. As a preliminary step, ABB will integrate Samotics' plug-and-play IIoT monitoring system into its digital offering. Thus, driving the Machine Condition Monitoring market revenue.
The Machine Condition Monitoring market segmentation, based on end use includes oil & gas industry, chemical & petrochemical industry, pulp & paper industry, and steel & metal industry. The steel & metal industry segment dominated the market, the strong need for lowering expenses, streamlining maintenance, and increasing capacity is thought to be a contributing factor to the metal and mining segment's predicted large growth rate over the assessment period. Technology advances and the high demand for software solutions bode well for the segment's expansion.
The Machine Condition Monitoring market segmentation, based on monitoring type includes vibration monitoring, thermography, oil analysis, and corrosion monitoring. The vibration monitoring segment dominated the market. The high percentage is explained by the increase in interest in spotting wear, imbalances, and misalignments. The increasing use of vibration monitoring has been crucial in providing information about spotting flaws early on.
The Machine Condition Monitoring market segmentation, based on monitoring process, includes online and portable. The portable category generated the most income. Data on crucial machinery can be collected and analyzed with the use of portable condition monitoring. They are highly capable, light, rapid, and simple to use. The characteristics and qualities of the portable machine diagnostics operation type will drive the segment's expansion. Due to the difficulty of using portable monitoring techniques in industrial units located in remote locations, there is a strong need for online condition monitoring. Online monitoring solutions for data accuracy are more popular as a result of the widespread use of sensors in monitoring technology.
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American machine condition monitoring market area will dominate this market. When compared to the strong demand from the power generation, aerospace, oil & gas, marine, and food & beverage industries, the U.S. and Canada are expected to offer significant growth potential. For oil condition monitoring in the equipment lubricants used on oil and gas platforms, vibration monitoring has been a prominent trend.
Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.
Source: Secondary Research, Primary Research, MRFR Database and Analyst Review
Europe Machine Condition Monitoring market accounts for the second-largest market share. In order to participate in the industry, well-known players are prepared to invest money in condition monitoring systems. Machine monitoring goods and services have become increasingly popular throughout the region as a result of Industry 4.0 and the Internet of Things. Further, the German Machine Condition Monitoring market held the largest market share, and the UK Machine Condition Monitoring market was the fastest growing market in the European region
The Asia-Pacific Machine Condition Monitoring Market is expected to grow at the fastest CAGR from 2023 to 2032. The significant rise in industrial robot deployment, the rising demand for automation, and the existence of high-production nations like China and Japan are all responsible for this segment's sizable market share. Moreover, China’s Machine Condition Monitoring market held the largest market share, and the Japan Machine Condition Monitoring market was the fastest growing market in the Asia-Pacific region.
Leading market players are investing heavily in research and development in order to expand their product lines, which will help the Machine Condition Monitoring market, grow even more. Market participants are also undertaking a variety of strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, Machine Condition Monitoring industry must offer cost-effective items.
Manufacturing locally to minimize operational costs is one of the key business tactics used by manufacturers in the Machine Condition Monitoring industry to benefit clients and increase the market sector. In recent years, the Machine Condition Monitoring industry has offered some of the most significant advantages to medicine. Major players in the Machine Condition Monitoring market, including Emerson Electric Co., General Electric, Rockwell Automation Inc., Parker Hannifin Corp, Analog Devices Inc., SKF, Amphenol Inc., Allied Reliability, National Instruments Corp, Meggit Plc, and Fluke Corporation.
SKF AB manufactures machine and rotating equipment. It operates through the business segments for the industrial market and the automotive market. Industrial Sales Americas, Industrial Sales Europe, Middle East, and Africa, Industrial Sales Asia, Industrial Units, Bearing Operations, and Aerospace make up the Industrial Marget segment. In May 2022, SKF introduced SKF Axios, a product that, thanks to a partnership between SKF and Amazon Web Services, Inc. (AWS), reinvents the domains of industrial machine reliability and predictive maintenance.
Emerson, which was first founded as Emerson Electric Company, has been in operation since 1890. Network Power, Process Management, Industrial Automation, Climate Technologies, and Commercial and Residential Solutions (Tools and Storage) are Emerson's five main business divisions. In April 2022, Leading provider of software and technology worldwide Emerson updated their machinery health platform to let users switch to a more comprehensive, cutting-edge condition monitoring interface.
Emerson Electric Co.,
General Electric,
Rockwell Automation Inc.,
Parker Hannifin Corp,
Analog Devices Inc.,
SKF, Amphenol Inc.,
National Instruments Corp,
Meggit Plc,
Fluke Corporation
In 2024: a wireless sensor called the Vibration Meter was recently released by Worldsensing. It gauges vibrations with the use of a tri-axial accelerometer. The battery life is longer lasting and has a wider range of communication while being cheaper than other products like it on the market. Vibration Meter’s goal is to aid engineering companies in meeting building integrity regulations such as German DIN 4140-3 standard or British BS 7385-2, among others, which touch on vibration effects on humans according to ISO 2631-2. This announcement coincides with increased regulatory scrutiny for industries that generate high-vibration activities, including construction, mining, and off-highway operations, where this type of equipment would be used most frequently. There has been a change towards safeguarding against structural stability failures by buildings located near construction sites so as not only to ensure safety but also comfort within those communities.
July 2023: semiconductor solutions provider Ambiq launched two new ultra-low processors for the remote healthcare monitoring sector. These chips are part of their Apollo4 Lite and Apollo4 Blue Lite System-on-Chips (SoCs) lines, respectively; both designed specifically with remote health monitoring devices in mind as they need long battery lives due to being constantly active without being plugged into an outlet all day like most stationary devices would be required to have power at all times during operation hours. These products are currently in mass production so that supply can meet demand from customers who want these chips, which now range anywhere between digital health products such as smartwatches or fitness bands. Additionally, even animal trackers' voices, industrial maintenance applications, and smart home Internet of Things (IoT) devices may require ultra-low-powered processors.
November 2022: SICK unveiled its MPB10 Multi-Physics Box condition monitoring sensor—a rugged bolt-on device built to provide real-time continuous service data from electric motors, pumps, fans, and conveyor systems found in harsh industrial environments, according to the company. The MPB10 is the German sensor manufacturer’s first dedicated condition monitoring sensor. It makes it easy to monitor vibration, shock, and temperature measurements at the core of machines with an all-in-one design that includes an integrated processing unit for interpreting measurement results on-site or remotely when combined with external gateways such as SICK’s SIG200 gateway. This product will help businesses run more cost-effective predictive maintenance programs, which can lead to higher plant availability while extending operational life and protecting both product quality and process quality.
September 2022: In order to provide improved condition monitoring services, ABB and Samotics, a high-growth scaleup company in the Netherlands and a well-known supplier of ESA technology, have established a long-term strategic partnership. The technique will make use of each company's advantages to offer more information about the health and power effectiveness of the equipment.
June 2022: The official launch of AquaRing, a comprehensive real-time monitoring system for online water condition management for the water, utility, and food and beverage industries, was announced by Watersight, a joint venture between MEKOROT and Newsight Imaging.
Oil & Gas Industry
Chemical & Petrochemical Industry
Pulp & Paper Industry
Steel & Metal Industry
Vibration Monitoring
Thermography
Oil Analysis
Corrosion Monitoring
Online
Portable
North America
US
Canada
Europe
Germany
France
UK
Italy
Spain
Rest of Europe
Asia-Pacific
China
Japan
India
Australia
South Korea
Australia
Rest of Asia-Pacific
Rest of the World
Middle East
Africa
Latin America
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