Predictive Maintenance Market Analysis, Research Forecast With SAP, Augury, Hitachi, Dell, GE, PTC, IBM, Fluke Corporation, C3 IoT, SAS, Bosch Software Innovations, Rockwell Automation, Schneider Electric, RapidMiner, Software AG, T-Systems International GmbH

Medio: industryreports24.com
País: EUA
Sección: Other Industries
Fecha: 08/04/2019
Autores: Data Bridge Market Research
Páginas: ---
Link: http://industryreports24.com/76629/predictive-maintenance-market-analysis-research-forecast-with-sap-augury-hitachi-dell-ge-ptc-ibm-fluke-corporation-c3-iot-sas-bosch-software-innovations-rockwell-automation-schneider-el/

Fuente: Internet
Tipo de nota: Nota común
Predictive maintenance industry accounted to USD XX.XX million in 2017 growing at a CAGR of XX.XX% during the forecast period of 2018 to 2025, Globally. Predictive maintenance market report contains data for historic years 2016, the base year of calculation is 2017 and the forecast period is 2018 to 2025.

Predictive Maintenance

The aim of predictive maintenance is to first predict when equipment failure might occur, then to take preventive actions by performing maintenance. It involves testing and monitoring machines to predict machine failures. This helps in maximizing device or equipment uptime, enhancing quality. It is widely applicable in government, aerospace and defense, energy and utilities, manufacturing, healthcare, transportation and logistics, and others. Some of the major players of the global predictive maintenance market are

T-Systems International GmbH
Augury
Bosch Software Innovations
C3 IoT
Dell Inc.
Fluke Corporation
General Electric
Hitachi, Ltd.
Honeywell International Inc.
IBM Corporation
PTC
RapidMiner
Others: Rockwell Automation, Inc., SAP SE, SAS Institute, Inc., Schneider Electric, Senseye Ltd, SKF, Software AG, Softweb Solutions Inc, Warwick Analytics and others. Reduction in operation and maintenance costs may act as major driver in the growth of predictive maintenance market. On the other side, lack of proper training about the technology may hamper the market.
Major Market Drivers & Restraints:

Reduction in Operation & Maintenance Costs and Asset Downtime
Increasing Demand for Transforming Maintenance
Helps in Decision-Making and Increasing Operational Efficiency
Big Data and IoT Driving the Market
Lack of Training
Lack of Trust in Predictive Maintenance Technologies
Market Segmentation

The global predictive maintenance market is segmented on the basis of component into solutions, and services. The services segment is further sub segmented into
System integration
Maintenance and support
Consulting services
On the basis of organization size, the global predictive maintenance market is segmented into
Large enterprises
Small and medium-sized enterprises
On the basis of deployment type, the global predictive maintenance market is segmented into
Cloud
On-Premises
On the basis of vertical, the global predictive maintenance market is segmented into
Government
Aerospace And Defense
Energy And Utilities
Manufacturing
Healthcare
Transportation And Logistics
Others
On the basis of geography, the global Predictive Maintenance market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific, and Middle East & Africa.

Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.
North America is expected to dominate the market.

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