Complex event processing market is growing at a significant rate. Complex event processing is an event that combines data from multiple sources or an IT system to look for a meaningful result that can be reported to decision-makers. It is used in customer relationship management (CRM), middleware, and security policy risk management, application servers and also used in thread management for communication networks. It is an organizational tool that helps to aggregate multiple information of an enterprise to assist in high-level planning. It helps to identify opportunities and problems in the early stages by monitoring critical resources and business processes.
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Sensor networks are used for monitoring of industrial facilities and is derived from the raw numerical measurement such as temperature and smoke. Market data includes commodity prices or stock and derived from several events and their relationship through Complex Event Processing. Moreover, development in the field of machine learning and data analytics is driving the demand for complex event processing market across the globe. Machine learning is a method of data analysis that self-regulating the analytical model building. Machine learning technique includes logistic regression, random forest, linear regression, and K-means clustering are used by the organization for forecasting.
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The organization is using a predictive model for analytical purposes which include building the model and validating the model. The data scientists write a line of codes that can analyze dynamic data in a very flexible/rigid environment that can provide validated outputs of the foreseeable future. Complex event processing market is highly fragmented due to the presence of several market players that are significantly operating across the globe. Key market players of market include IBM Corp, Red Hat, Inc., Amazon Web Services Inc., and EsperTech Inc.
The complex event processing aims to provide a framework for Housing Association and scalability using Red Hat decision managers (JBoss BRMS) for complex event processing capabilities. An event may be described as a change of state in the application domain and the change of state may be represented by a single event, hierarchies of correlated events and multiple atomic events. JBoss BRMS Complex Event Processing support different behaviors includes support events with proper semantics, allow correlation, composition, detection, and aggregation of events and processing streams of events.
Global Complex Event Processing market – Segmentation
By Deployment Mode
- On-Premise
- Cloud-Based
By End-User
- Healthcare
- Banking, financial services and insurance (BFSI)
- Aerospace and Defense
- IT and Telecom
- Others (Retail, media, and entertainment)
Global Complex Event Processing Market –Region
North America
- US
- Canada
Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Rest of Asia-Pacific
Rest of the World
- Middle East & Africa
- Latin America
Company Profiles
- Abacus Service Corp.
- Amazon Web Services, Inc.
- Aspen Technology, Inc.
- EsperTech, Inc.
- EventGnosis, Inc.
- Fujitsu, Ltd.
- IBM Corp.
- Informatica, LLC.
- Nastel Technologies, Inc.
- Nexiot AG
(This release has been published on OMR Industry Journal. OMR Industry Journal is not responsible for any content included in this release.)
