Global Event Stream Processing Forecast Event stream processing (ESP) assists in the creation of an event-driven information system. This technology comprises various components of the event like event visualization, event-driven middleware, and development processing languages or complex event processing (CEP). ESP identifies the meaningful patterns with the help of processing streams of event data. In recent years, IoT and smart devices are widely used in the adoption of the ESP system. The global demand for the ESP technique is expected to grow as it can analyze the extensive volume data generated from various sources for real-time insights. Another factor fueling the market for the ESP technique is the rise in the adoption of cloud-based solutions as it enhances the scalability of web-based database capabilities. The demand for datadriven decision making is also influencing the global market for ESP.
Table of Contents
Chapter 1: Introduction to Event Stream Processing Market o
Market Definition
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Market Segmentation
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Macro Economic Factor Analysis
Chapter 2: Executive Summary
Chapter 3: Market Factor Analysis
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Porter’s Five Forces Analysis
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PESTEL Analysis
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Value Chain Analysis
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SWOT Analysis
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Pricing Analysis
Chapter 4: Global Event Stream Processing Market Estimation & Forecast By Type o
Analytics
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Data Integration
Chapter 5: Global Event Stream Processing Market Estimation & Forecast By Component o
Solutions
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Services
Chapter 6: Global Event Stream Processing Market Estimation & Forecast By Deployment o
Cloud
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On-Premises
Chapter 7: Global Event Stream Processing Market Estimation & Forecast By Application o
Algorithmic Trading
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Fraud Detection
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Network Monitoring
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Predictive Maintenance
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Sales and Marketing
Chapter 8 Global Event Stream Processing Market Estimation & Forecast By Region o
North America
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Asia Pacific
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Europe
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EMEA
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Latin America
Chapter 9 Competitive Landscape o
Competition Mapping
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Company Profiles (Suppliers)
IBM
Microsoft
SAS
Oracle
SAP
Informatica
TIBCO
Hitachi Vantara
Software AG
Chapter 10 Recommendations
Chapter 11 Acronyms and Assumptions
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