The global anomaly detection market study report of 170 pages explores Anomaly detection Market size, Anomaly detection Market share, Anomaly detection Market trends, Anomaly detection Market growth, and opportunity analysis. Report also provides anomaly detection market forecast to 2020. Report includes Anomaly detection Market Sampling Method, precision Type, Connectivity, Solution, Application, and Geography. 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%.
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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 network behaviour anomaly detection segment is expected to grow at the highest CAGR during the forecast period.
The Identity and Access Management (IAM) solution segment is expected to have the largest market size in the anomaly detection market during the forecast period.
Anomaly detection market reports highlights:
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.
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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.
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.
IAM solution is one of the key components of the user behavior anomaly detection solutions. It is designed to support a user-based approach for enterprise security and regulatory compliance.
It delivers role-based access to the appropriate user at the right time and also monitors their use to find anomalies and security gaps, through which, organizations can proactively fix vulnerabilities and help prevent malicious activities in the future.
North America is expected to have the largest market size, and Asia Pacific (APAC) is projected to grow at the highest rate during the forecast period.
North America is expected to hold the largest market share in the anomaly detection market during the forecast period. The data-driven enterprises in this region are adopting IoT-based systems over their legacy systems, where anomaly detection solutions help identify abnormal signals, transmitted from connected devices.
Furthermore, North America is technologically developed and witnessing a number of enterprises that are adopting cloud for data storage, and encouraging the Bring Your Own Device (BYOD) policy. These developments are boosting the adoption of anomaly detection solutions in the North American region.
The APAC region is expected to witness a significant growth and projected to be the fastest-growing region in the anomaly detection market. APAC has witnessed an advanced and dynamic adoption of new technologies and always been a lucrative market.
Countries of this region have a major threat issue related to the management of network systems and cyber threats. Due to the adoption of anomaly detection solutions and their associated services, these marketplaces are expected to witness a significant adoption of anomaly detection services during the forecast period.
In the process of determining and verifying the market size of several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people.
The break-up of the profiles of the primary participants is as follows:
- By Company: Tier 1 – 30 %, Tier 2 – 40%, and Tier 3 – 30%
- By Designation: C-Level – 72%, Director Level – 14%, and Others – 14%
- By Region: North America – 57%, Europe – 14%, and APAC – 29%
The anomaly detection market includes various major vendors, such as International Business Machines (IBM)Corporation (US), Cisco Systems, Inc. (US), Wipro Limited (India), Dell Technologies, Inc.(US), Hewlett Packard Enterprise (HPE) Company (US), SAS Institute, Inc.
(US), Symantec Corporation (US), Happiest Minds (India), Splunk, Inc.(US), Trustwave Holdings (US), Inc., Gurucul (US), Varonis Systems (US), Flowmon Networks (Czech Republic), GreyCortex s.r.o.(Czech Reupblic), and Guardian Analytics (US).
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