Global Anomaly Detection Market 2022-2028

Description

List of Tables

Global Anomaly Detection Market Size, Share & Trends Analysis Report by Deployment (On-Premises and Cloud-Based), and by End-Users (BFSI, Manufacturing, IT & Telecom, Healthcare, and Others) Forecast Period (2022-2028)

The global anomaly detection market is anticipated to grow at a substantial CAGR of 15.8% during the forecast period. The market growth is attributed to the rise in the adoption of anomaly detection solutions for software testing, coupled with an increase in internal threats among enterprises. Anomaly detection is the technique that is used to identify the unusual patterns that do not comply with the expected behavior named outliers. It provides numerous applications in business such as intrusion prevention systems (IPS) and others. The IPS arethe threat prevention technology that enables to identify the strange patterns in network traffic and can prevent data from hacking.

The global anomaly detection market is segmented based on the deployment and end-users. Based on the deployment, the market is bifurcated into on-premises and cloud-based. Based on the end-users, the market is sub-segmented into the BFSI, manufacturing, IT & telecom, healthcare, and others. The above-mentioned segments can be customized as per the requirements.Among the end-users segment, the healthcare segment is expected to propel the growth of the market over the forecast period. It can be used to detect anomalous physiological readings, potentially leading to expedited emergency response or new knowledge about the development of a health condition.

Geographically the global anomaly detection market is segmented into North America, Europe, Asia Pacific, and the Rest of the World. Among all regions, the North American region is expected to propel the growth of the market over the forecast period. The presence of key players in the region such as Cisco Systems, Inc., IBM Corp., SAS Institute, Inc., Symantec Corp., Microsoft Corp., and others along with thelaunch ofseveral new technologies is supporting the market growth. For instance, in January 2020, Cisco introduced an IoT security architecture that provides enhanced visibility inboth IT and IoT environments and protects processes. Cisco's new solutions enable the collection and extraction of data from the IoT edge so organizations can increase efficiencies to make better business decisions and accelerate digitization projects.

The major companies serving the global anomaly detection market include Happiest Minds Technologies Pvt. Ltd, Hewlett Packard Enterprise Co., Wipro Ltd., and others. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers andacquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in January 2019, Subex launcheda new brand, named asCrunchMetrics, an advanced anomaly detection system designed to assistorganizations to discover business opportunities and mitigatingrisks in real-time. It leverages the combined power of statistics Artificial Intelligence (AI) and Machine Learning (ML) to sift through data and identify anomalies that are a representation of business impact.

Research Methodology

The market study of the global anomaly detection market is incorporated by extensive primary and secondary research conducted by the research team at OMR.Secondary research has been conducted to refine the available data to break down the market into various segments, and derive the total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior, and macroeconomic factors. Numbers extracted from secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity to our reports.

Secondary Sources Include

Financial reports of companies involved in the market.
Whitepapers, research papers, and news blogs.
Company websites and their product catalog.

The report provides an in-depth analysis of the market size, andintended quality of the service preferred by consumers. The report will serve as a source for a 360-degree analysis of the market thoroughly integrating different models.

Market Segmentation

1. Global Anomaly Detection Market Research and Analysis by Deployment.

2. Global Anomaly Detection Market Research and Analysis by End-Users.

The Report Covers

Comprehensive research methodology of the global anomaly detection market.
This report also includes a detailed and extensive market overview with key analyst insights.
An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
Analysis of regional regulations and other government policies impacting the global anomalydetectionmarket.
Insights about market determinants that are stimulating the global anomaly detection market.
Detailed and extensive market segments with the regional distribution of forecasted revenues.
Extensive profiles and recent developments of market players.

Product Code: OMR2017152

Category- Analytics

1. Report Summary

Current Industry Analysis and Growth Potential Outlook
Impact of COVID-19 on the Global Anomaly Detection Market
Recovery Scenario of Global Anomaly Detection Market
1.1. Research Methods and Tools
1.2. Market Breakdown
- 1.2.1. By Segments
- 1.2.2. By Region

2. Market Overview and Insights

2.1. Scope of the Report
2.2. Analyst Insight & Current Market Trends
- 2.2.1. Key Findings
- 2.2.2. Recommendations
- 2.2.3. Conclusion

3. Competitive Landscape

3.1. Cisco Systems, Inc.
- 3.1.1. Overview
- 3.1.2. Financial Analysis
- 3.1.3. SWOT Analysis
- 3.1.4. Recent Developments
3.2. IBM Corp.
- 3.2.1. Overview
- 3.2.2. Financial Analysis
- 3.2.3. SWOT Analysis
- 3.2.4. Recent Developments
3.3. SAS Institute, Inc.
- 3.3.1. Overview
- 3.3.2. Financial Analysis
- 3.3.3. SWOT Analysis
- 3.3.4. Recent Developments
3.4. Symantec Corp.
- 3.4.1. Overview
- 3.4.2. Financial Analysis
- 3.4.3. SWOT Analysis
- 3.4.4. Recent Developments
3.5. Verint Systems, Inc.
- 3.5.1. Overview
- 3.5.2. Financial Analysis
- 3.5.3. SWOT Analysis
- 3.5.4. Recent Developments
3.6. Key Strategy Analysis
3.7. Impact of Covid-19 on Key Players

4. Market Segmentation

4.1. Global Anomaly Detection Market by Deployment
- 4.1.1. On-Premises
- 4.1.2. Cloud-Based
4.2. Global Anomaly Detection Market by End-Users
- 4.2.1. BFSI
- 4.2.2. Manufacturing
- 4.2.3. IT and Telecom
- 4.2.4. Healthcare
- 4.2.5. Others

5. Regional Analysis

5.1. North America
- 5.1.1. United States
- 5.1.2. Canada
5.2. Europe
- 5.2.1. UK
- 5.2.2. Germany
- 5.2.3. Italy
- 5.2.4. Spain
- 5.2.5. France
- 5.2.6. Rest of Europe
5.3. Asia-Pacific
- 5.3.1. China
- 5.3.2. India
- 5.3.3. Japan
- 5.3.4. South Korea
- 5.3.5. Rest of Asia-Pacific
5.4. Rest of the World

6. Company Profiles

6.1. Anodot, Ltd.
6.2. Flowmon Networks A.S.
6.3. Guardian Analytics, Inc.(NICE Actimize)
6.4. Happiest Minds Technologies Pvt. Ltd.
6.5. Hewlett Packard Enterprise Co.
6.6. LogRhythm, Inc.
6.7. Microsoft Corp.
6.8. Netskope, Inc.
6.9. Rapid7
6.10. Trend Micro Inc.
6.11. Trustwave Holdings, Inc
6.12. Varonis Systems, Inc.
6.13. Wipro Ltd.
6.14. WSO2 Inc.