Predictive Maintenance Market 2018: Global Scenario, Demand Analysis and Industry Research 2025

“Predictive Maintenance”
Forecasting Global and Regional Analysis on Predictive Maintenance Market By Geography; Component (Solutions, Services {System Integration, Maintenance & Support, Consulting Services}); Organization Size (Small & Medium Enterprises (SMEs), Large Enterprises); Deployment Type (Cloud, On-Premises) and Verticals.

The report for predictive maintenance market  include detailed vendor level analysis for market shares in 2016 for Global, North America, Europe, Asia Pacific, Middle East and Africa and South America specifically.The Global Market accounted for USD 1.6 billion and growing at a CAGR of 29.1% during the forecast period.

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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. 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. Some of the major players of the global predictive maintenance market are

  • Augury
  • Bosch Software Innovations GmbH
  • C3 IoT
  • Dell Inc.
  • Fluke Corporation
  • General Electric
  • Hitachi, Ltd.
  • Honeywell International Inc.
  • IBM Corporation
  • PTC
  • RapidMiner, Inc.

Others: Rockwell Automation, Inc., SAP SE, SAS Institute, Inc., Schneider Electric, Senseye Ltd, SKF, Software AG, Softweb Solutions Inc., T-Systems International GmbH, Warwick Analytics and others. Also impact and development analysis of key vendors is registered in the market and factored on the basis of Vendor Positioning Grid Analysis which measures the vendors strengths and opportunities against present market challenges, measure providers ability to identify or satisfy present market needs, map providers market vision to current and upcoming market dynamics among others. The report also measures technology life line curve and market time line to analyze and do more affective investments.

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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: Global Predictive Maintenance Market

  • 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, and 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, and 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. In 2017, North America is expected to dominate the market.

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