Streaming Analytics Market is projected to grow at a CAGR of 25.7% during the forecasting period 2021-2027.

Streaming analytics adds real-time insight to the decision-making toolbox, complementing traditional analytics. It's also known as event stream processing, and it's used to automatically process and analyse large amounts of real-time data and data in motion called event streams. Events that occur as a result of an action or set of actions, such as a financial transaction, equipment failure, or other actions, are included in the streams. Advanced functionalities such as data pseudonymization are being developed by streaming analytics solution providers to ensure a product's compliance with data privacy and security regulations. Unauthorized users or hackers are prevented from using customer data for personal gain by data pseudonymization. By capturing, masking, filtering, obfuscating, enriching, and encrypting data-in-motion, the Striim platform by Striim, Inc., for example, supports data pseudonymization.

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The Streaming Analytics Market report has been categorized as below
By Component
· Software
· Services
By Deployment Mode
· Cloud
· 0n-Premises
By Organization Size
· Large Enterprises
· Small and Medium-sized Enterprises (SMEs)
By Application
· Fraud Detection
· Sales and Marketing
· Predictive Asset Management
· Risk Management
· Network Management and Optimization
· Location Intelligence
· Supply Chain Management
· Others
By Region
North America
Europe
Asia Pacific
Rest of World
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