Global Predictive Maintenance Market Trends, Applications, Analysis, Growth, and Forecast: 2017 to 2026

MarketResearch.Biz delivers in-depth insights in its upcoming report titled “Global Predictive Maintenance Market Trends, Applications, Analysis, Growth, and Forecast: 2017 to 2026”. The global predictive maintenance market is estimated to register a CAGR of X.X% in terms of value during forecast period 2017–2026. The report offers in-depth insights, revenue details, and other vital information regarding the global predictive maintenance market, and the various trends, drivers, restraints, opportunities, and threats in the target market till 2026. The report offers insightful and detailed information regarding the various key players operating in the global market, their financials, supply chain trends, technological innovations, key developments, apart from future strategies, acquisitions & mergers, and market footprint. The global predictive maintenance market report has been segmented on the basis of component, deployment, organization size, vertical, and region.

Predictive maintenance techniques help to determine the condition of in-service equipment in order to predict when maintenance should be performed. It includes regular monitoring of the actual mechanical condition, and operating efficiency of the equipment. The aim of predictive maintenance is first to predict when equipment failure might occur, and secondly, to prevent the occurrence of the failure by performing maintenance. It helps to detect even minor anomalies and failure patterns to determine the assets and operational processes that are at the greatest risk of problems or failure.

Reduction in operating costs related to replacement of the equipment/machine is key factor driving growth of the global predictive maintenance market. In addition, industries which are deal with heavy and hazardous machineries use predictive maintenance to ensure employees’ safety.  Training courses on safety measures for employees is an essential part of an organization where the use of heavy machinery is involved. However, human error is always a factor which needs to be considered. Predictive maintenance gives the technical teams the data they need about the equipment or machine’s health status in advance so that they can plan the maintenance and prevent accidents.

The global predictive maintenance market size is expected to grow from US$ XXXX.X million in 2017 to US$ XXXX.X million by 2026, at a CAGR of XX.X% during the forecast period. Factors such as the lowering maintenance cost with reduced downtime, rising demand for better monitoring and predictive technology in developed countries, and widespread use of internet of things (IoT) are propelling demand for predictive maintenance solutions & services. In addition, increasing popularity and rising adoption of predictive maintenance solutions across all the major verticals, such as government, aerospace & defense, manufacturing, energy & utilities, healthcare, and transportation & logistics are driving the growth of market.

However, high cost, lack of training and trust for predictive maintenance are the major factors restraining the growth of the market.

North America is estimated to have the largest market share and is expected to dominate the global predictive maintenance market during the forecast period. Asia-Pacific offers potential growth opportunities for the predictive maintenance market to grow in this region.

Market Segmentation:

Global predictive maintenance market segmentation, by component:

• By Solution
• By Service:

Global predictive maintenance market segmentation, by deployment type:

• Cloud
• On-premises

Global predictive maintenance market segmentation, by organization size:

• Small and medium size enterprises
• Large enterprises

Global predictive maintenance market segmentation, by vertical:

• Government
• Aerospace and defense
• Energy and utilities
• Healthcare
• Manufacturing
• Transportation and logistics
• Others

Global predictive maintenance market segmentation, by region:

• North America
• Europe
• Latin America
• Asia Pacific
• Middle East & Africa

• IBM
• SAP SE
• Software AG
• General Electric
• Robert Bosch
• Rockwell Automation
• PTC
• Warwick Analytics
• RapidMiner
• SKF Group