Market Overview

Global predictive maintenance market is estimated to be valued at US$ 2,123.8 Mn in 2018, up from US$ 1,639.2 Mn in 2017. By 2026, the market is projected to reach US$ 17,700.8 Mn, exhibiting a CAGR of 30.3% over the forecast period (2018–2026). Increasing adoption of predictive maintenance in automotive aftermarket, growing industrial automation, increasing demand for periodic maintenance (for operations, assets, and production) are some major factors contributing in growth of the global predictive maintenance market.

On the basis of component, the global predictive maintenance market is segmented into solutions and services. On the basis of deployment, the market is segmented into on-premise and cloud. On the basis of application, the market is segmented into asset maintenance, operations maintenance, and health & performance optimization. On the basis of end-use industry, the market is segmented into oil & gas, aerospace & defense, automotive, power generation, hospitals/clinics/diagnostic laboratories, biotechnology/pharmaceutical manufacturers, medical device manufacturers, and shipping.

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Market Dynamics

Automation and predictive maintenance finds application in automotive industry. Implementation of predictive maintenance aids in production process and after sale maintenance. Several automobile companies are implementing predictive maintenance in post-sale maintenance to offer better and cost effective service to the customers. For examples, Nissan’s Predictive Forward Collision Warning feature, which analyses the speed and distance to the vehicle travelling ahead of the Nissan vehicle as well as that of the next preceding vehicle, by utilizing sensors.

An automobile contains large number of sensors that collect data about speed, emissions, fuel consumption, usage data for resources, security, and about car and engine parts. All the collected data can be utilized to find patterns and resolve quality issues either before time or prevent issues from arising. This reduces cost of quality management and increases customer satisfaction. Therefore, increasing industrial automation that includes data acquisition and processing is expected to boost growth of the market.

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Major players operating in the global predictive maintenance industry include, Amiral Technologies, Embitel, General Electric, Honeywell International, Inc., IBM Corporation, Microsoft Corporation, Rockwell Automation, Inc., Senseye Ltd., Softweb Solutions, Inc., Warwick Analytics, SAP SE, Robert Bosch GmbH, Software AG, and Siemens AG.

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