Anomaly detection can be termed as a process to identify anomalies such as an unusual shift in the process or event in an operation that does not follow the expected pattern or dataset. These shift in the usual pattern of the event is the major cause of a fault, defect or an error in the process.
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Anomaly detection is widely used for applications such as intrusion detection, fraud detection, system, health monitoring, and many others in a similar ecosystem. The major factor contributing to the growth of anomaly detection market is the growing number of connected devices in a network. The larger the network, more chances of traffic congestion leading to unusual patterns in the network. Anomaly detection identifies these strange patterns in network traffic that could be a major reason for intrusion detection, cyber-attacks, and fraud detection.
This report focuses on the global Anomaly Detection status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Anomaly Detection development in United States, Europe and China.
The key players covered in this study
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Market segment by Type, the product can be split into
Market segment by Application, split into
IT & Telecom
Defense and Government
Market segment by Regions/Countries, this report covers
Central & South America
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The study objectives of this report are:
To analyze global Anomaly Detection status, future forecast, growth opportunity, key market and key players.
To present the Anomaly Detection development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Anomaly Detection are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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