Anomaly Detection Market Research: Anodot, Gurucul, Niara, Splunk, etc.

Anomaly Detection Market by type 2017-2021 by new Service spreads across 185 pages profiling 19 companies and supported with 81 tables and 54 figures available at rnrmarketresearch.com

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The anomaly detection market is expected to grow at a Compound Annual Growth Rate (CAGR) of 16.4% during the forecast period due to the rise in internal threat among enterprises and increase in cyber espionage and fraudulent activities.
The global anomaly detection market size is expected to grow from USD 2.08 billion in 2017 to USD 4.45 billion by 2022, at a CAGR of 16.4%.The High Performance Data Analytics (HPDA) enables data scientists to detect abnormal behaviors (anomalies) in real-time data and helps monitor device performance, along with preventing data from unauthorized access. As the number of connected devices are increasing, the risk of safeguarding the data on these devices is also increasing, which is driving the anomaly detection market at a significant pace. Software testing has been a major component of the Software Development Lifecycle (SDL) and software developers are using anomaly detection techniques to monitor the functionality of the software. Developers use anomaly detection tools to dynamically extract invariants from program executions and continuously check program behavior against these invariants, and to report all the detected anomalies.

The network behavior anomaly detection segment is expected to grow at the highest CAGR during the forecast period
A network behavior anomaly is a sudden and short-lived deviation from the normal operation of the network. Some anomalies on the network are deliberately caused by intruders with malicious intents, such as a Distributed Denial of Service (DDoS) attack in an Internet Protocol (IP) network, while others may be purely accidental, such as intrusion in a busy network traffic. Most methods of Network Anomaly Detection (NAD) are based on network traffic models, as quick detection is required to initiate a timely response.

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Anomaly Detection Market Analysis, By Technology

• Introduction
• Big Data Analytics
• Real-Time Analytics
• Data Cleaning
• Data Mining and Business Intelligence
• Unsupervised Learning Algorithms
• Pattern Recognition Algorithms
• Data Visualisations and Dashboards
• Association Rule Algorithms
• Machine Learning and Artificial Intelligence
• Cognitive Learning Algorithms
• Hierarchial Temporal Memory Algorithms
• Neural Networks

Fundamentals of Table of Content:

14 Company Profiles

(Overview, Strength of Product Portfolio, Business Strategy Excellence and Recent Developments)*
14.1 Cisco Systems, Inc.
14.2 Dell Technologies, Inc.
14.3 Hewlett Packard Enterprise Company
14.4 Guardian Analytics
14.5 Anodot, Ltd.
14.6 Happiest Minds
14.7 Gurucul
14.8 Niara, Inc.
14.9 Flowmon Networks
14.10 Wipro Limited
14.11 SAS Institute Inc.
14.12 Symantec Corporation
14.13 Trustwave Holdings, Inc.
14.14 International Business Machines Corporation
14.15 Logrhythm, Inc.
14.16 Splunk, Inc.
14.17 Trend Micro, Inc.
14.18 Greycortex S.R.O.
14.19 Securonix, Inc.

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*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence and Recent Developments Might Not Be Captured in Case of Unlisted Companies.

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