Operational Predictive Maintenance Market : Global Industry Analysis and Forecast 2016 - 2022

Submitted by: Submitted by

Views: 10

Words: 978

Pages: 4

Category: Business and Industry

Date Submitted: 05/11/2016 02:35 AM

Report This Essay

Operational Predictive Maintenance Market : Global Industry

Analysis and Forecast 2016 - 2022

Persistence Market Research

Operational Predictive Maintenance Market :

Global Industry Analysis and Forecast

2016 - 2022

Persistence Market Research

1

Operational Predictive Maintenance Market : Global Industry

Analysis and Forecast 2016 - 2022

Persistence Market Research Released New Market Report on “Operational Predictive

Maintenance Market : Global Industry Analysis and Forecast 2016 - 2022”.

Operational predictive maintenance software retrieve multiple data sources in real time to

predict quality issues or asset failure. Adoption of these software solutions facilitate

organizations to prevent downtime and reduce maintenance costs. Operational predictive

software solutions detect failure patterns and minor anomalies to determine the assets and

operational processes that are at the greatest risk of failure. Deployment of operation predictive

maintenance software boosts equipment uptime and enhance supply chain processes and

quality. One of the major factors for the increasing usage of these software solutions is their

ability to accurately predict asset failure, enabling enterprises to take the asset out of production

ensuing efficient supply chain.

Interested in report: Please follow the below links to meet your requirements;

Request for the Report Brochure: http://www.persistencemarketresearch.com/samples/10394

The operational predictive maintenance market has been experiencing massive growth in the

recent years due to rise in demand for transforming maintenance operations and reducing asset

downtime. Moreover, increasing demand for big data and Internet of Things (IoT) and rising

focus of organizations on reducing operational cost is further expected to fuel the growth of

operational predictive maintenance market during the forecast period. However, lack of training

for operators and lack of trust in predictive maintenance technology is hindering the...