Operational predictive maintenance is a service that detects the onset of system degradation; thereby, enabling usual stressors to be eliminated or controlled past any significant deterioration in the physical state of the component. Adoption of operational predictive maintenance software facilitates organizations to reduce maintenance cost and prevent downtime. It further assists the organizations in optimizing supply chain and operation management of products.

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Increasing adoption of cloud-based technologies across various industry verticals such as government and manufacturing has augmented the demand for operational predictive maintenance solution and services. Increasing focus on reducing the cost associated with the maintenance of machines, products, and other assets is fueling the growth in the market across the globe. Moreover, the technological advancement in maintenance solutions such as the deployment of big data and IoT is anticipated to offer a growth opportunity to the market in the near future.

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The global operational predictive maintenance market is further analyzed on the basis of geographical regions, including North America, Europe, Asia-Pacific, and Rest of the World. North America contributed the largest share in the global operational predictive maintenance market in 2018. This is attributed to increased spending by energy companies that are looking to improve operating costs and intensify profitability. Moreover, the region comprises key developers and market players of operational predictive maintenance such as IBM Corp. and Microsoft Corp., which are offering its services across various emerging industry verticals such as manufacturing and energy & utilities. Further, Asia-Pacific is projected to exhibit the fastest growth in the global operational predictive maintenance market during the forecast period. Improving economic reforms and an increase in the focus of government towards economic stability are some factors that are considerably propelling the market growth in the region.

Global Operational Predictive Maintenance Market Segmentation

By Deployment Model
• On-premises
• Cloud-based
By Application

• Government
• Manufacturing
• Energy & Utilities
• Transportation and Logistics
• Others (Healthcare, Aerospace and defense)

Regional Analysis
• North America
• United States
• Canada
• Europe
• UK
• Germany
• Italy
• Spain
• France
• Rest of Europe
• Asia-Pacific
• China
• Japan
• India
• Rest of Asia-Pacific
• Rest of the World
Company Profiles
• ABB Asea Brown Boveri Ltd.
• Accenture PLC
• Advanced Technology Services, Inc.
• Altizon Systems Pvt. Ltd.
• Augury Inc.
• Bentley Systems, Inc.
• Cisco Systems, Inc.
• Eaton Corp.
• Embitel Technologies India Pvt. Ltd.
• General Electric Co.
• Hitachi Ltd.
• Huawei Technologies Co., Ltd.
• IBM Corp.
• Intel Corp.
• Microsoft Corp.
• PTC Inc.
• Robert Bosch GmbH
• Rockwell Automation, Inc.
• SAP SE
• SAS Institute Inc.
• Schneider Electric SE
• Senseye Ltd
• Siemens AG
• Software AG
• Splunk Inc.

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