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OverviewAnomaly detection is a method of identifying unusual patterns that do not adhere to the expected pattern of a given group. Anomaly detection is used in behavioral analysis and other forms of study and is mainly a data-mining process. Anomaly detection finds its application in various domains such as fraud detection, system health monitoring, intrusion detection, detection of ecosystem disturbances, and fault detection. Anomaly detection is also used in fraud detection for credit cards, insurance or health care, intrusion detection for cyber-security, fault detection in safety-critical systems, and military surveillance for enemy activities. Diverse use of anomaly detection is the prime reason for the market growth. With the growth in a number of connected devices, there has been an increase in number of fraudulent activities too, and the dire need to safeguard the data on these devices are augmenting the anomaly detection market. Increasing use of anomaly detection in software testing to monitor the functionality of the software is a significant growth factor. Additionally, the emergence of high-performance data analysis, Bring Your Own Device (BYOD), IoT and IIoT which raises the threat of cyber-attacks is expected to fuel the growth of the market. The global anomaly detection market is estimated to reach USD 5 Mn by the end of the forecast period 2018-2023 and capture a CAGR of 15%, reveals a study by Market Research Future (MRFR). Rising internal threats among enterprises, rapidly developing IT sector, and growing adoption of black box trading by market traders further augment the market for anomaly detection. The major restraints to the anomaly detection market include threat from open-source alternatives, lack of skilled workforce, and occurrence of asymmetric faults in open-source model and high costs and security breaches associated with anomaly detection.
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Segmentation
The global anomaly detection market has been segmented based on service type, solution, deployment, application, and industry vertical. By type, the market has been segmented into professional service and managed service. The professional service segment is further segmented into installation and maintenance, support & maintenance and consulting service.
By solution, the market has been segmented +into network behavior anomaly detection and user behavior anomaly detection. By deployment, the market has been segmented into the cloud and on the premise. By application, the market has been segmented into Intrusion detection, fraud detection, system health monitoring, fault detection and others. By industry vertical, the market has been segmented into banking and financial services, retail, manufacturing, IT and telecom, Government, Aerospace and defense, healthcare, and others.
Regional Analysis
The key markets of the global Anomaly Detection Market include North America, Europe, Asia Pacific and rest of the world. North America accounts for the largest share of the market owing to growing trends of BYOD, IoT in the region along with robust economy and investment in R&D activities, and concentration of major players. Europe closely follows North America in anomaly detection market. Technological advancements in the region coupled with rising investments from key players in the region can be attributed for this growth. Asia-Pacific region is slated to exhibit the fastest growth in terms of CAGR due to increasing development in Information and Technology sector.
Competitive Landscape
International Business Machines Corporation (U.S.), Cisco Systems, Inc. (U.S.), Hewlett Packard Enterprise Company (U.S.), Trend Micro, Inc. (Japan), Wipro Limited (India), Gurucul (U.S.), Guardian Analytics (U.S.), SAS Institute, Inc. (U.S.), Dell Technologies, Inc. (U.S.),Symantec Corporation (U.S.), Splunk, Inc. (U.S.), Securonix, Inc. (U.S.), and Happiest Minds (India) are among the eminent players operating in the market.
Other market players include Sensewaves (France), Cryptomage (Poland), Nexosis (U.S.), Sentryo (France), Anodot (Israel), ThetaRay (Israel), OtoSense (France), Arundo Analytics (U.S.), Aqua-Q (Sweden), Cloudmark (U.S.), NewSky Security (U.S.),Acerta (Canada), RazorSecure (UK), Cycuro (Israel), Scaled Inference (U.S.), Allure Security Technology (U.S.), Prelert (U.S.), Coscale (Belgium), and PatternEx (U.S.) among others.
Industry Updates
• In June 2018, Progress, a US-based software company launched a DIY anomaly detection service on Amazon Web Services. Named Progress DataRPM, it enables organizations to get information on uploaded sensor data gathered from industrial systems that could detect anomalies.
• In June 2018, Siemens announced that the company would leverage Claroty's advanced behavioral analysis technology in its Anomaly Detection Solution.
LIST OF TABLES
Table1 World Population By Major Regions (2018 To 2023)
Table2 Global Anomaly Detection Market: By Region, 2018-2023
Table3 North America Anomaly Detection Market: By Country, 2018-2023
Table4 Europe Anomaly Detection Market: By Country, 2018-2023
Table5 Asia Pacific Anomaly Detection Market: By Country, 2018-2023
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LIST OF FIGURES
FIGURE 1 Global Anomaly Detection Market Segmentation
FIGURE 2 Forecast Methodology
FIGURE 3 Porter’s Five Forces Analysis Of Global Anomaly Detection Market
FIGURE 4 Value Chain Of Global Anomaly Detection Market
FIGURE 5 Share Of Global Anomaly Detection Market In 2018, By Country (In %)
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Website: https://www.marketresearchfuture.com/reports/anomaly-detection-market-5756
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