Industrial Predictive Maintenance Market Survey on Developing Application 2025

Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance …

Predictive maintenance (PdM) techniques are designed to help determine the condition of in-service equipment in order to predict when maintenance should be performed. This approach promises cost savings over routine or time-based preventive maintenance, because tasks are performed only when warranted. The main promise of predictive maintenance is to allow convenient scheduling of corrective maintenance, and to prevent unexpected equipment failures.

Predictive maintenance evaluates the condition of equipment by performing periodic (offline) or continuous (online) equipment condition monitoring. The ultimate goal of the approach is to perform maintenance at a scheduled point in time when the maintenance activity is most cost-effective and before the equipment loses performance within a threshold. This results in a reduction in unplanned downtime costs because of failure where for instance costs can be in the hundreds of thousands per day depending on industry.

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In 2018, the global Industrial Predictive Maintenance market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

This report focuses on the global Industrial Predictive Maintenance status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Industrial Predictive Maintenance development in United States, Europe and China.

The key players covered in this study

■ Augury Systems

■ Bosch Software Innovations

■ C3 IoT

■ Dell Technologies

■ Fluke Corporation

■ General Electric

■ Hitachi

■ Honeywell

■ IBM

■ PTC

■ Rapidminer

■ Rockwell Automation

■ SAP

■ SAS Institute

■ Schneider Electric

■ Senseye

■ SKF

■ Software

■ Softweb Solutions

■ T-Systems International

■ Warwick Analytics

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Market segment by Type, the product can be split into

■ Cloud-based

■ On-premises based

Market segment by Application, split into

■ Government

■ Aerospace and defense

■ Energy and utilities

■ Healthcare

■ Manufacturing

■ Transportation and logistics

Research objectives:

■ To study and estimate the market size of Industrial Predictive Maintenance Market, in terms of value.

■ To find growth and challenges for the global market.

■ To study worthwhile expansions such as expansions, new services launches in Global Industrial Predictive Maintenance Market.

■ To conduct the pricing analysis for the global market.

■ To classify and assess the side view of important companies of Global Industrial Predictive Maintenance Market.

Global Industrial Predictive Maintenance Market Report gives answers to Following Vital Questions:

1. What are the risks associated with the sourcing of raw material, or holding the line on costs of services?

2. Who are the emerging competitors in the Global Industrial Predictive Maintenance industry?

3. Expected percentage of the Global Industrial Predictive Maintenance Market Growth over the upcoming period?

4. Why does Global Industrial Predictive Maintenance Market have high growth potential?

5. How does this report match with Investment Policy Statement?

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