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Global Anomaly Detection Market – Industry Trends and Forecast to 2028

  • ICT
  • Upcoming Report
  • Jun 2021
  • Global
  • 350 Pages
  • No of Tables: 220
  • No of Figures: 60

Global Anomaly Detection Market, By Component (Solution, Services), Technology (Big Data Analytics, Data Mining and Business Intelligence, Machine Learning and Artificial Intelligence), Deployment Mode (Hybrid, On-Premises, Cloud), End User (Banking, Financial Services, and Insurance, Retail Manufacturing, IT and Telecom, Defense and Government, Healthcare, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2028.

Anomaly Detection Market Market Analysis and Insights : Global Anomaly Detection Market         

Anomaly detection market size is valued at USD 11.03 billion by 2028 is expected to grow at a compound annual growth rate of 16.35% in the forecast period of 2021 to 2028. Data Bridge Market Research report on anomaly detection provides analysis and insights regarding the various factors expected to be prevalent throughout the forecasted period while providing their impacts on the market’s growth.

Anomaly detection also known as outlier detection is a type of data mining process which is used to determine various types of anomalies found in a data set and to find out details regarding their occurrences. It also helps users to alert about mistrustful activity by third party and also block further login attempts.

The rise in the adoption of anomaly detection solutions in software testing is expected to influence the growth of anomaly detection market over the forecast period of 2021 to 2028. Also the rise in the cyber espionage and fraudulent activities and increase in the internal threats among enterprises are also anticipated to flourish the growth of the anomaly detection market. Furthermore, the high growth of data and emergence of HPDA is also likely to positively impact the growth of the market. Moreover, the increase in the number of connected devices and rise in the fraudulent activities and cyber-attacks are also expected create a huge demand for anomaly detection as well as lifting the growth of the anomaly detection market.

However, the high cost and increase in the competition from open-source alternatives are expected to act as the major limitations for the growth of anomaly detection in the above mentioned forecasted period, whereas the dearth of professional workforce to operate tools and solutions and incidence of asymmetric faults in open-source model can challenge the anomaly detection market growth in the forecast period of 2021 to 2028.

Likewise, the increase in the adoption of black box trading by market traders, exposure of anomalies in streaming data from assets and optimization of business processes are expected to create various new opportunities that will lead to the growth of the anomaly detection market in the above mentioned forecasted period.

This anomaly detection market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on anomaly detection market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Global Anomaly Detection Market Scope and Market Size

Anomaly detection market is segmented on the basis of component, technology, deployment mode, and end user. The growth among segments helps you analyze niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.

  • Anomaly detection market is segmented on the basis of component into solution and services. Solution has further been segmented into network behavior anomaly detection and user behavior anomaly detection. Network behavior anomaly detection has further been sub-segmented into network traffic analysis, network intelligence and security and risk mitigation and management. User behavior anomaly detection has further been sub-segmented into identity and access management, threat intelligence and management, data loss prevention and security information and event management. Services have further been segmented into professional services and managed services. Professional services have further been sub-segmented into deployment and integration, consulting services and support and maintenance. Managed services have further been sub-segmented into managed network monitoring and maintenance, managed internet access and network infrastructure provisioning and managed network security.
  • Based on technology, the anomaly detection market is segmented into big data analytics, data mining and business intelligence and machine learning and artificial intelligence. Big data analytics have further been segmented into real-time analytics and data cleaning. Data mining and business intelligence has further been segmented into unsupervised learning algorithms, pattern recognition algorithms, data visualization and dashboards and association rule algorithms. Machine learning and artificial intelligence has further been segmented into cognitive learning algorithms, hierarchical temporal memory algorithms and neural networks.
  • On the basis of deployment mode, the anomaly detection market is segmented into hybrid, on-premises and cloud.
  • The end user segment of the anomaly detection market is segmented into banking, financial services, and insurance, retail, manufacturing, IT and telecom, defense and government, healthcare and others. Others have further been segmented into entertainment and education.

Anomaly Detection Market Country Level Analysis

Anomaly detection market is analyzed and market size, volume information is provided by country, component, technology, deployment mode and end user as referenced above.

The countries covered in the anomaly detection market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC)  in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA)as a part of Middle East and Africa (MEA).

North America leads the anomaly detection market because of the high adoption of smart connected devices and rise in the intrusions as well as the increase in the security breaches in various business enterprises. Asia-Pacific is expected to expand at a significant growth rate of over the forecast period of 2021 to 2028 owing to rise in the rapid development in IT infrastructure and high adoption of new technologies in emerging economies.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Anomaly Detection Market Share Analysis

Anomaly detection market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to anomaly detection market.

The major players covered in the anomaly detection market report are Cisco Systems, Inc., Dell Technologies, Inc., Hewlett Packard Enterprise Development LP, Anodot, Ltd., Happiest Minds, GURUCUL, Trend Micro Incorporated, Flowmon Networks a.s., Wipro Limited, IBM, Trustwave Holdings, Inc., LogRhythm, Inc., Splunk Inc., GREYCORTEX s.r.o., Securonix, Inc., Infosys Limited, SAS Institute Inc., Broadcom, Tracxn Technologies and PATTERNEX, INC., among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.


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Research Methodology:

Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.

The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.

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