Predictive Maintenance Market Booming the Industries by Ravisisng keyplayers | Amiral Technologies, Embitel, General Electric, Honeywell International, Inc., IBM Corporation, Microsoft Corporation, Rockwell Automationmarket 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.
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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.
Manufacturing industries are in constant need for improving performance, reliability, and service management. Data acquisition, monitoring, and analytics aids in achieving better reliability and service management. Data-based predictive models help in boosting performance of manufacturing process and offers improved manufacturing quality.
The solution segment held dominant position in the market in 2018
Solution segment held dominant position in the market in 2018 and it is expected to retain its dominance over the forecast period. Emerging economies such as India and China in Asia Pacific are expected to witness significant growth in the solution segment in the predictive maintenance market. This is owing to growing manufacturing sector and increasing industrial automation across various industry verticals in the region such as automotive and aerospace & defense.
North America held dominant position in the predictive maintenance market in 2017
North America held dominant position in the market in 2017 and is expected to retain its dominance throughout the forecast period. This is owing to high presence of manufacturing companies and increasing demand for lean manufacturing across different industry verticals in the region. New startup companies deploy and adopt predictive maintenance to optimize the overall production process and make the operations cost-effective.
Global Predictive Maintenance Market: Key Players
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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• Global Predictive Maintenance Market, By Component:
Maintenance & Support
• Global Predictive Maintenance Market, By Deployment:
• Global Predictive Maintenance Market, By Application:
o Asset Maintenance
o Operation Maintenance
o Health & Performance Maintenance
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