Anomaly detection is defined as the identification and determination of details about the occurrence of an unusual pattern that does not conform to the expected behavior. The occurrence of anomalies is a rare event, however, when it occurs, it may signify a large and significant threat, such as data theft, fraud, and cyber intrusion. An anomaly is classified into network-based anomaly and user behavior-based anomaly. Network-based anomalies are the unusual patterns observed during the monitoring of network traffic. The user behavior-based anomaly detection detects threats or unusual behaviors of users with the help of statistical analysis and algorithms.

The MicroQuadrant matrix provides information about the major players who offer anomaly detection solutions. It outlines the findings and analysis on how well each market vendor performs within the predefined MicroQuadrant criteria. The vendor evaluations are based on 2 broad categories: strength of product portfolio and business strategy excellence. Each category carries various criteria based on which the vendors have been evaluated. The evaluation criteria considered under strength of product portfolio include the breadth and depth of product offering (on the basis of the industries that the vendors cater to, and solution and service offerings), product feature and functionality, product branding, product differentiation and technology support, and product quality, reliability, and support. The evaluation criteria considered under business strategy excellence include effectiveness of growth strategy (on the basis of customers and revenue generation), channel strategy and fit (on the basis of the channel partners that the vendors cater to), geographic footprint (on the basis of geographic presence), breadth of application served and coverage, merger and acquisition strategy, and effectiveness of organic growth strategy.

VISIONARY LEADERS

International Business Machines Corporation, Symantec Corporation, Hewlett Packard Enterprise Company, SAS Institute, Inc., Securonix, Inc., Flowmon Networks, Wipro Limited, Dell Technologies, Inc., Trend Micro, Inc., Gurucul, Rapid, Inc., Aqueduct Technologies, Inc., Trustwave Holdings, Inc., Splunk, Inc., and LogRythm, Inc. are the leaders in the anomaly detection market and are recognized as the visionary leaders. They have a strong portfolio of solutions and services in the anomaly detection market. These vendors have been marking their presence in the anomaly detection market by offering customized solutions as per the requirement of the commercial customers, coupled with growth strategies to achieve consistent, advanced growth in the anomaly

INNOVATORS

GreyCortex s.r.o. and Niara, Inc. are recognized as the innovators in the anomaly detection market. These companies offer innovative solutions to cater to the future network behavior and user behavior analytics demands supporting anomaly detection. These companies are concerned about their product portfolios, and they have the robust potential to build strong business strategies for expanding their presence and staying at par with the visionary leaders. These vendors have been consistently offering anomaly detection solutions to fulfill customer demands. They have been at the forefront for the deployment of anomaly detection solutions.

DYNAMIC Differentiators

Cisco Systems, Inc., Happiest Minds, and Varonis Systems, Inc. are recognized as the dynamic differentiators in the anomaly detection market. These companies have an innovative portfolio of solutions and services, and they also have an extensive network of channel partners and resellers to increase the deployment of their solutions across a multitude of vertical markets. The dynamic vendors have been consistently generating positive revenue growth in the anomaly detection market, and their market position is boosted by the organic and inorganic ventures undertaken by them.

EMERGING COMPANIES

Anodot, Ltd., Guardian Analytics, and Cynet are recognized as the emerging companies in the anomaly detection market. The majority of the emerging vendors have been undertaking multiple acquisitions and boosting their sales capabilities across various regions to offer integrated solutions and services to a wide range of clients.

TOP VENDORS
In Anomaly Detection Software

  1. IBM CORPORATION
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    4.3
  2. SYMANTEC CORPORATION
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    4.1
  3. SAS INSTITUTE INC
    0 Reviews
    3.7

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Anomaly Detection Software Quadrant

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KEY BUYING CRITERIA

Below criteria are most commonly used for comparing Anomaly Detection Software tools.
Product Maturity
Company Maturity
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Most IMPORTANT
4.2
4.2
3.0
Breadth and Depth of Product Offerings
4.50
4.50
4.25
Product Features and Functionality
3.85
4.65
1.55
Product Branding
5.00
4.60
4.80
Product Differentiation and Impact on Customer Value
3.80
2.65
1.05
Product Quality and Reliability
3.65
4.20
4.35
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