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Anomaly Detection Market Research Report - Forecast to 2027

Global Anomaly Detection Market Research Reportโ€“ by Service (Professional, Managed), Solution (Network Behavior, User Behavior), Deployment (On-Cloud, On-Premise), Vertical (BFSI, Retail, IT & Telecom, Healthcare) and by Application - Forecast till 2027

ID: MRFR/ICT/4301-HCR | December 2022 | Region: Global | 100 Pages         

Anomaly Detection Market

A Anomaly Detection Market Size USD 15 billion earning potential CAGR 15% is revealed in the forthcoming period 2020-2027.

Segmentation

By Services (Professional Managed) Solution (Network Behavior User Behavior)
By Deployment On-Cloud On-Premise
By Vertical BFSI Retail IT & Telecom Healthcare

Key Players

  • International Business Machines Corporation (U.S.)
  • SAS Institute Inc. (U.S.)
  • Cisco Systems Inc. (U.S.)
  • Dell Technologies Inc. (U.S.)
  • Hewlett Packard Enterprise Company (U.S.)
  • Symantec Corporation (U.S.)
  • Trend Micro Inc. (Japan)
  • Splunk Inc. (U.S.)
  • Wipro Limited (India)
  • Securonix Inc. (U.S.)
  • Gurucul (U.S.)
  • Happiest Minds (India)
  • and Guardian Analytics (U.S.).

Drivers

  • The major factor affecting the growth of this market in Europe is the investments by various key player in this region.
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Anomaly Detection Market Overview:


According to the latest research report, the anomaly detection market size possibility generating USD 5 billion over the next three years has been highlighted. The potential for growth is projected to grow at a rate of 5 percent each year over the next five years. Processes for identifying anomalies, such as an unexpected change in the procedure or occurrence in an activity that does not conform to the anticipated trend or dataset, are referred to as anomaly detection. When a problem, defect, or mistake occurs in the process, it is almost often due to a change in the normal pattern of an incident happening. Anomaly detection is extensively utilised in applications like vulnerability scanning, fraud prevention, security, and patient monitoring, among many others, all of which are part of the same ecosystem.


The increasing adoption of smart linked devices is one of the most important factors driving the development of the anomaly detection marketplace. The greater the size of the network, the greater the likelihood of traffic jams, which may result in odd behaviors in the system. Anomaly detection is the process of identifying these unusual patterns in network activity that may be a significant source of vulnerability scanning, computer hackers, and fraud prevention. It is also known as anomaly detection.


This report contains all the information on the global anomaly detection market analysis and its strengths. The report also contains the culmination of dynamics, segmentation, key players, regional analysis, and other important factors. And a detailed analysis of the global anomaly detection market forecast for 2027 is also included in the report.


Covid 19 Analysis:
One of the studies makes use of COVID-19 patient's health information acquired from the healthcare data repository at Anschutz Medical Center in Colorado. They are encouraging and suggest that the methods may be used to identify abnormalities in huge quantities of genuine unsupervised learning whose correctness and authenticity are not known in advance.


Market Dynamic:
Drivers:
It is anticipated that the growing connectivity in the financial sector and banking as well as medical, industrial, information technology and telecommunications, military, and governments would boost the anomaly detection industry during the projected period. These industries deal with sensitive information on a daily basis, leaving them vulnerable to severe scams, robberies, and hackers, which enables thieves to take control of the company's equipment and conduct business operations.


Opportunities:
As big data grows and HPDA takes off, the requirement for anomaly detection solutions in the testing process is projected to increase. As cyber monitoring and illegal dealings raise, so does the really need significant help to guard against intrusions and start rising insider threats among businesses.


Restraints:
For the purpose of analyzing network activity and user behavior, anomaly detection techniques and solutions are used. The need for software platforms is likely to be hampered by tough rivalry from accessible options in the future.


Challenges:
Unavailability of knowledge and expertise to handle the products and techniques is a significant issue. All of these issues are anticipated to have a negative impact on the market's growth over the coming years.


Cumulative Growth Analysis:
Anomaly detection relies heavily on cutting-edge technology including  business intelligence, big data analytics, data gathering, and as well as ai and machine learning, all of which are now popular. Enterprises may use these solutions to identify abnormalities, minimize the overall risk of data breaches, and improve the efficiency of business operations. It is possible to analyze huge quantities of data using developing massive data analytics-based outlier detection solutions. These solutions also allow for learning about the typical behaviour of complicated systems as well as the identification of abnormal activity in data. Due to their ability to detect abnormal behaviors, these solutions constantly monitor information to assist in the early identification of issues.


Value Chain Analysis:
According to the reports, the global anomaly detection market is segmented on the basis of service type, solution, application, verticals, and regions. The market is divided into two categories based on the kind of service provided: professional service and managed service. In addition, professional services are divided into three categories: consultation service, support and maintenance, and installation and maintenance. The market is categorized based on the solution, with network behaviour anomaly detection or user behaviour anomaly detection being the two main categories. The market is divided into two categories based on the method of deployment: cloud-based and on-premise.


The market is divided based on the application, with the most common being intrusion detection, followed by fraud detection, defect detection, system health monitoring, and others. The market is divided into verticals such as  retail, manufacturing, information technology and telecommunications, aerospace and military, government, banking, and financial services, healthcare, and others based on verticals. North America, Europe, Asia Pacific, and the rest of the world are the regions where the market is split, with North America accounting for the largest share.


Anomaly Detection Market Segmentation Overview:
The market is segmented on the basis of service type, solution, application, verticals, and regions. The global anomaly detection market trend is expected to witness decent growth during the forecast period.


By Application:
Based on the application, the market is segmented into intrusion detection, fraud detection, defect detection, system health monitoring, and others.


By End-users:
Based on the propulsion types, the market is segmented into retail, manufacturing, information technology and telecommunications, aerospace and military, government, banking and financial services, healthcare, and others.


Anomaly Detection Market Regional Analysis:
According to the reports, During the projected period, the worldwide anomaly detection market is anticipated to increase at a potential pace, according to estimates. In terms of geography, the anomaly detection industry may be divided into four categories: North America, Europe, Asia Pacific, and the rest of the globe. North America is the most dominant area in the market, attributed to rising trends such as Use Your Own Device, that companies can improve to bring their own devices to work in the workplace. This approach has been widely embraced by major corporations, resulting in increased efficiency and results overall. Nevertheless, BYOD has also resulted in a rise in anomalies as a consequence of linked devices and the internet of things, which has resulted in a higher likelihood of a system intrusion occurring.


Furthermore, North America accounted for the largest number of anomaly detection market share that provides solutions, applications, and technology for anomaly detection than any other region. These suppliers comprise major corporations such as IBM and Cisco, and also a significant number of start-ups. The increased use of anomaly detection systems in government and law enforcement organizations is also propelling the anomaly detection market growth in North America. U.s. Is the largest donor first from North American area, accounting for almost half of all contributions.


Competitive Landscape:
The existence of certain major companies in the anomaly detection market, including Cisco Systems Inc., Microsoft Corporation,  WSO2 Inc., and others, helps to regulate the level of rivalry in the marketplace. In general, there is a lot of competitive competition inside the business, which is good. Strategic alliances, mergers & acquisitions, and other means of market expansion enable businesses to retain their position in the marketplace with the goal of delivering better alternatives and goods to their consumers in the future.


Anomaly Detection Market Key Players:


  • International Business Machines Corporation (U.S.)

  • SAS Institute, Inc. (U.S.)

  • Cisco Systems, Inc. (U.S.)

  • Dell Technologies, Inc. (U.S.)

  • Hewlett Packard Enterprise Company (U.S.)

  • Symantec Corporation (U.S.)

  • Trend Micro, Inc. (Japan)

  • Splunk, Inc. (U.S.)

  • Wipro Limited (India)

  • Securonix, Inc. (U.S.)

  • Gurucul (U.S.)

  • Happiest Minds (India)

  • Guardian Analytics (U.S.).


Report Overview:
The following report comprises of –


  • Market overview

  • Covid 19 Analysis

  • Market Dynamic

  • Drivers

  • Opportunities

  • Restraints

  • Challenges

  • Cumulative Growth Analysis

  • Value Chain Analysis

  • Segmentation Overview

  • By Application

  • By End-Users

  • Regional Analysis

  • Competitive landscape


Recent Developments:
May 1, 2018: The Real-Time Wire Fraud Detection Webinar Series has been launched by Guardian Analytics Inc., an industry leader in real-time behavioral machine learning algorithms solutions for financial payment detecting fraud and corporate B2B portal fraud, among other applications.


By Component:



  • Solutions

  • Services


By Solution:



  • Network behavior anomaly detection

  • User behavior anomaly detection


By Network Behavior Anomaly Detection:



  • Network traffic analysis

  • Network intelligence and security

  • Risk mitigation and management


By User Behavior Anomaly Detection:



  • Identity and Access Management (IAM)

  • Threat intelligence and management

  • Data Loss Prevention (DLP)

  • Security Information and Event Management (SIEM)


By Service:



  • Professional services

  • Managed services


By Technology:



  • Big data analytics

  • Data mining and business intelligence

  • Machine learning and artificial intelligence


By Deployment Type:



  • Cloud

  • On-premises

  • Hybrid


By Vertical:



  • Banking, Financial Services, and Insurance (BFSI)

  • Retail

  • Manufacturing

  • IT and telecom

  • Defense and government

  • Healthcare

  • Others (entertainment and education)


By Region:



  • North America

  • Europe

  • APAC

  • MEA

  • Latin America



Report Scope:

Report Attribute/Metric Details
  Market Size   USD 5 Billion (2023)
  CAGR   15% (2017-2023)
  Base Year   2019
  Forecast Period   2020-2027
  Historical Data   2018
  Forecast Units   Value (USD Billion)
  Report Coverage   Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
  Segments Covered   by Service, Deployment
  Geographies Covered   North America, Europe, Asia-Pacific, and Rest of the World (RoW)
  Key Vendors   International Business Machines Corporation (U.S.), SAS Institute, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Dell Technologies, Inc. (U.S.), Hewlett Packard Enterprise Company (U.S.), Symantec Corporation (U.S.), Trend Micro, Inc. (Japan), Splunk, Inc. (U.S.), Wipro Limited (India), Securonix, Inc. (U.S.), Gurucul (U.S.), Happiest Minds (India), and Guardian Analytics (U.S.).
  Key Market Opportunities

  • The major factor contributing to the growth of anomaly detection market is the growing number of connected devices in a network. \r\n
  • The larger the network, more chances of traffic congestion leading to unusual patterns in the network.
  •   Key Market Drivers   The major factor affecting the growth of this market in Europe is the investments by various key player in this region.


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    Frequently Asked Questions (FAQ) :

    A USD 15 billion earning potential is revealed in the forthcoming period.

    A 15% CAGR is expected to show the latent for development in the coming period.

    Dell Technologies, Inc. (U.S.), Splunk, Inc. (U.S.), Hewlett Packard Enterprise Company (U.S.), Cisco Systems, Inc. (U.S.), Symantec Corporation (U.S.) and Trend Micro, Inc. (Japan) are working in the market.

    The upsurge in connected devices in a network is anticipated to broaden the scope for development in the coming period.

    User behavior anomaly detection and anomaly detection are present in the global market offering.