1. business and industrial

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.
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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 market
growth. Increasing demand for real time steaming analytics and increasing demand from small
and medium enterprises (SMEs) is expected to create huge opportunities for the companies
operating in operational predictive maintenance market.
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Operational Predictive Maintenance Market : Global Industry
Analysis and Forecast 2016 - 2022
Operational Predictive Maintenance Market can be segmented on the basis of component
as follows:
Solution
Services
•
System Integration
•
Training & Support
•
Consulting
The global operational predictive maintenance market is segmented on the basis of
components, deployment type, application, and geography. Based on the component, the global
operational predictive maintenance market is classified into solutions and services. Further,
services segment is further categorized into system integration, training and support, and
consulting. Based on the deployment type, the global operational predictive maintenance
market is further segmented into cloud-based and on-premise. Among these, cloud based
operational predictive maintenance solutions market is expected to show swiftest growth
enabling enterprises to reduce their dependence on data mining specialists, data integration
and IT. In terms of application, the market is segmented automotive, energy and utilities,
healthcare, manufacturing facilities, government and defense and transportation and logistics.
Among these, manufacturing facilities are expected to hold the major market share for
operational predictive maintenance market due to high deployment rate by manufacturers to
reduce the maintenance cost consequently increasing the profitability. On the basis of
geography, the global operational predictive maintenance market is segmented into North
America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Among these,
North America is expected to lead the operational predictive maintenance market in 2016. The
growing big data market and high adoption of IoT are contributing to the growth for operational
predictive maintenance market in the North America region. Moreover, heavy investments made
by countries such as China, Japan, Korea, and India in Asia-Pacific to enhance the efficiency of
Persistence Market Research
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Operational Predictive Maintenance Market : Global Industry
Analysis and Forecast 2016 - 2022
production assets is further expected to offer sufficient growth opportunities for the operational
predictive maintenance market in this region.
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Some of the leading companies operating in the global operational predictive maintenance
market which are transmuting the market with technology innovation are IBM Corporation, SAS
Institute Inc., Software AG, General Electric, Robert Bosch GmbH, Rockwell Automation, Inc.,
PTC, Inc., Schneider Electric, Svenska Kullagerfabriken AB, and Emaint Enterprises, LLC.
The report covers exhaustive analysis on:
•
Operational Predictive Maintenance Market Segments
•
Operational Predictive Maintenance Market Dynamics
•
Historical Actual Market Size, 2013 - 2015
•
Operational Predictive Maintenance Market Size & Forecast 2016 to 2024
•
Operational Predictive Maintenance Current Trends/Issues/Challenges
•
Competition & Companies involved
•
Operational Predictive Maintenance Treatment Drivers and Restraints
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Regional analysis includes
•
North America
•
Latin America
Persistence Market Research
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Operational Predictive Maintenance Market : Global Industry
Analysis and Forecast 2016 - 2022
•
Europe
•
Asia Pacific
•
Middle East & Africa
Report Highlights:
•
Shifting Industry dynamics
•
In-depth market segmentation
•
Historical, current and projected industry size Recent industry trends
•
Key Competition landscape
•
Strategies of key players and product offerings
•
Potential and niche segments/regions exhibiting promising growth
•
A neutral perspective towards market performance
About Us:
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syndicated research, custom research, and consulting services. PMR boasts market research
expertise across the Healthcare, Chemicals and Materials, Technology and Media, Energy and
Mining, Food and Beverages, Semiconductor and Electronics, Consumer Goods, and Shipping
and Transportation industries. The company draws from its multi-disciplinary capabilities and
high-pedigree team of analysts to share data that precisely corresponds to clients’ business
needs.
PMR stands committed to bringing more accuracy and speed to clients’ business decisions.
From ready-to-purchase market research reports to customized research solutions, PMR’s
engagement models are highly flexible without compromising on its deep-seated research
values.
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Operational Predictive Maintenance Market : Global Industry
Analysis and Forecast 2016 - 2022
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