Operational equipment is responsive to many types of errors and faults. Hence, it is crucial to monitor minor or significant changes in equipment, measuring parameters like vibration, temperature, voltage, current, pressure, flow, and several others. This significance has pushed various verticals to take extra effort to protect their machinery. The main benefit of fault identification using machine condition monitoring, include; allowing personnel to take remedial action to avoid or reduce repair costs and increasing machinery safety, thus improving human safety.
Predictive Maintenance to Spearhead the Growth
Factories are growing smart every year. The new analytics and big data techniques can forecast the demand for a particular product based on historical data. Depending on these conclusions the decision makers need to speed up or slow down the production on a daily basis. To make such changes in the entire mechanical system of a factory, all the equipment involved in production activity should be healthy enough to accept the change. Hence machine health is a critical factor in day to day industrial activity.
With the advent of monitoring technologies, users are now able to predict the lifetime of a machine or equipment. These life cycles provide a method to predict when a maintenance operation should take place to ensure that a machine has served its full length of the service period. Predictive maintenance techniques are designed for various verticals to determine the condition of equipment to predict when and where maintenance operations should be performed. These techniques promise cost savings to the operator when time-based maintenance operations are performed.
North America Holds the Largest Share
North America is the most significant market for machine condition monitoring equipment. Stringent government regulations regarding safety, new power generation projects in the United States, and significantly growing automotive and aerospace industries are driving the market for machine condition monitoring in this region. With the boom of shale gas industry in the United States, despite low crude oil prices, the region has shown considerable growth in the industrial sector. The increasing number of drilling activities for the shale gas resources due to National Outer Continental Shelf Oil and Gas Leasing Program (National OCS Program) for 2019-2024, has created massive demand for machine condition monitoring equipment and services in the oil and gas sector.
Growing investments in the energy sector of North America is expected to drive the demand for machine condition monitoring equipment in the region over the next four years. In fact, the energy industry is the third largest industry in the region and is attracting a considerable amount of investments in stabilizing oil prices. For instance, according to Bloomberg New Energy Finance (BNEF), the US alone is expected to invest nearly USD 700 billion in the next 20 years in the energy sector to expand their renewable energy capacity which opens up the colossal market for machine condition monitoring equipment.
Ultrasound Detectors are Increasingly Becoming Popular
Structure-borne and airborne ultrasound become an essential player in condition monitoring. Maintenance and reliability professionals are recognizing the various applications associated with using ultrasound detectors for condition monitoring. They are applying the concept of condition monitoring to more than necessary mechanical fault inspections.
Ultrasonic detectors are predictive and non-destructive maintenance methods. The US Department of Energy recommended ultrasonic conditioning as the best method for detecting the location of leaks to improve plant efficiency and minimize energy waste. Factors such as improved quality control and safety, decrease working hours, minimization of production downtime by enhancing troubleshooting capabilities are boosting the market for the ultrasonic detection method in machine condition monitoring market.
• February 2017 - GE and Gama Energy signed an agreement to operate Turkey's first Industrial Internet solution in the energy industry, Turkey’s first digital power plant. GE is expected to install GAMA's power plant in the city of Kırıkkale with its Asset Performance Management (APM) and Operations Optimization (OO) solutions which see a great deal of machine condition monitoring equipment installations in the project.
• February 2017 - Emerson has announced the sale of its Leroy-Somer and Control Techniques businesses to Nidec Corporation. The deal was reported to be valued at USD 12 billion and is expected to strengthen Emerson’s capacity for strategic investments. In case of Nidec, the acquisition is expected to boost its presence in the global drivers and power generation sector.
Reasons to Purchase this Report
• How does the growing predictive maintenance trend act as a driver to the global market scenario?
• Analyzing various perspectives of the market with the help of Porter’s five forces analysis
• Which solutions and type of monitoring equipment are expected to dominate the market?
• Which regions are expected to witness the fastest growth during the forecast period?
• Identify the latest developments, market shares and strategies employed by the major market players.
• Three months analyst support along with the Market Estimate sheet in excel.
Customization of the Report
• This report can be customized to meet your requirements.
Frequently Asked Questions
- By product type
- By End User/Applications
- By Technology
- By Region