Global Anomaly Detection Market 2019 by Company, Regions, Type and Application, Forecast to 2024

  • ID:PD037178
  • July 2019
  • GIR (GlobalInfoResearch)
                          

The Global Anomaly Detection Market Report is equipped with market data from 2014 to 2024. The report gives a market overview covering key drivers and risks factors. The report is bifurcated by top global manufactures mentioning sales, revenue and prices as applicable. It also evaluates the competitive scenario of the leading players. The report expands to cover regional market data along with type and application. The report forecasts sales and revenue from 2019 to 2024. The detailed sales channel is also covered in the study.

Anomaly detection can be termed as a process to identify anomalies such as an unusual shift in the process or event in an operation that does not follow the expected pattern or dataset. These shift in the usual pattern of the event is the major cause of a fault, defect or an error in the process.

Scope of the Report:
Anomaly detection is widely used for applications such as intrusion detection, fraud detection, system, health monitoring, and many others in a similar ecosystem. The major factor contributing to the growth of anomaly detection market is the growing number of connected devices in a network. The larger the network, more chances of traffic congestion leading to unusual patterns in the network. Anomaly detection identifies these strange patterns in network traffic that could be a major reason for intrusion detection, cyber-attacks, and fraud detection.

The global Anomaly Detection market is valued at xx million USD in 2018 and is expected to reach xx million USD by the end of 2024, growing at a CAGR of xx% between 2019 and 2024.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Anomaly Detection.

Europe also play important roles in global market, with market size of xx million USD in 2019 and will be xx million USD in 2024, with a CAGR of xx%.
This report studies the Anomaly Detection market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Anomaly Detection market by product type and applications/end industries.

Market Segment by Companies, this report covers

  •     IBM
  •     SAS Institute
  •     Cisco Systems
  •     Dell Technologies
  •     HPE
  •     Symantec
  •     Trend Micro
  •     Anodot
  •     Guardian Analytics
  •     Happiest Minds
  •     Gurucul
  •     Flowmon Networks
  •     Trustwave Holdings
  •     LogRhythm
  •     Wipro
  •     Splunk
  •     Securonix
  •     GreyCortex

Market Segment by Regions, regional analysis covers 
  • North America (United States, Canada and Mexico)
  • Europe (Germany, France, UK, Russia and Italy)
  • Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
  • South America (Brazil, Argentina, Colombia)
  • Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
  •     Cloud-based
  •     On-premises
  •     Hybrid

Market Segment by Applications, can be divided into
  •     BFSI
  •     Retail
  •     IT & Telecom
  •     Healthcare
  •     Manufacturing
  •     Defense and Government
  •     Others

Table of Contents

1 Anomaly Detection Market Overview
    1.1 Product Overview and Scope of Anomaly Detection
    1.2 Classification of Anomaly Detection by Types
        1.2.1 Global Anomaly Detection Revenue Comparison by Types (2019-2024)
        1.2.2 Global Anomaly Detection Revenue Market Share by Types in 2018
        1.2.3 Cloud-based
        1.2.4 On-premises
        1.2.5 Hybrid
    1.3 Global Anomaly Detection Market by Application
        1.3.1 Global Anomaly Detection Market Size and Market Share Comparison by Applications (2014-2024)
        1.3.2 BFSI
        1.3.3 Retail
        1.3.4 IT & Telecom
        1.3.5 Healthcare
        1.3.6 Manufacturing
        1.3.7 Defense and Government
        1.3.8 Others
    1.4 Global Anomaly Detection Market by Regions
        1.4.1 Global Anomaly Detection Market Size (Million USD) Comparison by Regions (2014-2024)
        1.4.1 North America (USA, Canada and Mexico) Anomaly Detection Status and Prospect (2014-2024)
        1.4.2 Europe (Germany, France, UK, Russia and Italy) Anomaly Detection Status and Prospect (2014-2024)
        1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Anomaly Detection Status and Prospect (2014-2024)
        1.4.4 South America (Brazil, Argentina, Colombia) Anomaly Detection Status and Prospect (2014-2024)
        1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Anomaly Detection Status and Prospect (2014-2024)
    1.5 Global Market Size of Anomaly Detection (2014-2024)
2 Manufacturers Profiles
    2.1 IBM
        2.1.1 Business Overview
        2.1.2 Anomaly Detection Type and Applications
            2.1.2.1 Product A
            2.1.2.2 Product B
        2.1.3 IBM Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.2 SAS Institute
        2.2.1 Business Overview
        2.2.2 Anomaly Detection Type and Applications
            2.2.2.1 Product A
            2.2.2.2 Product B
        2.2.3 SAS Institute Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.3 Cisco Systems
        2.3.1 Business Overview
        2.3.2 Anomaly Detection Type and Applications
            2.3.2.1 Product A
            2.3.2.2 Product B
        2.3.3 Cisco Systems Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.4 Dell Technologies
        2.4.1 Business Overview
        2.4.2 Anomaly Detection Type and Applications
            2.4.2.1 Product A
            2.4.2.2 Product B
        2.4.3 Dell Technologies Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.5 HPE
        2.5.1 Business Overview
        2.5.2 Anomaly Detection Type and Applications
            2.5.2.1 Product A
            2.5.2.2 Product B
        2.5.3 HPE Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.6 Symantec
        2.6.1 Business Overview
        2.6.2 Anomaly Detection Type and Applications
            2.6.2.1 Product A
            2.6.2.2 Product B
        2.6.3 Symantec Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.7 Trend Micro
        2.7.1 Business Overview
        2.7.2 Anomaly Detection Type and Applications
            2.7.2.1 Product A
            2.7.2.2 Product B
        2.7.3 Trend Micro Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.8 Anodot
        2.8.1 Business Overview
        2.8.2 Anomaly Detection Type and Applications
            2.8.2.1 Product A
            2.8.2.2 Product B
        2.8.3 Anodot Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.9 Guardian Analytics
        2.9.1 Business Overview
        2.9.2 Anomaly Detection Type and Applications
            2.9.2.1 Product A
            2.9.2.2 Product B
        2.9.3 Guardian Analytics Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.10 Happiest Minds
        2.10.1 Business Overview
        2.10.2 Anomaly Detection Type and Applications
            2.10.2.1 Product A
            2.10.2.2 Product B
        2.10.3 Happiest Minds Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.11 Gurucul
        2.11.1 Business Overview
        2.11.2 Anomaly Detection Type and Applications
            2.11.2.1 Product A
            2.11.2.2 Product B
        2.11.3 Gurucul Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.12 Flowmon Networks
        2.12.1 Business Overview
        2.12.2 Anomaly Detection Type and Applications
            2.12.2.1 Product A
            2.12.2.2 Product B
        2.12.3 Flowmon Networks Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.13 Trustwave Holdings
        2.13.1 Business Overview
        2.13.2 Anomaly Detection Type and Applications
            2.13.2.1 Product A
            2.13.2.2 Product B
        2.13.3 Trustwave Holdings Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.14 LogRhythm
        2.14.1 Business Overview
        2.14.2 Anomaly Detection Type and Applications
            2.14.2.1 Product A
            2.14.2.2 Product B
        2.14.3 LogRhythm Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.15 Wipro
        2.15.1 Business Overview
        2.15.2 Anomaly Detection Type and Applications
            2.15.2.1 Product A
            2.15.2.2 Product B
        2.15.3 Wipro Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.16 Splunk
        2.16.1 Business Overview
        2.16.2 Anomaly Detection Type and Applications
            2.16.2.1 Product A
            2.16.2.2 Product B
        2.16.3 Splunk Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.17 Securonix
        2.17.1 Business Overview
        2.17.2 Anomaly Detection Type and Applications
            2.17.2.1 Product A
            2.17.2.2 Product B
        2.17.3 Securonix Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
    2.18 GreyCortex
        2.18.1 Business Overview
        2.18.2 Anomaly Detection Type and Applications
            2.18.2.1 Product A
            2.18.2.2 Product B
        2.18.3 GreyCortex Anomaly Detection Revenue, Gross Margin and Market Share (2017-2018)
3 Global Anomaly Detection Market Competition, by Players
    3.1 Global Anomaly Detection Revenue and Share by Players (2014-2019)
    3.2 Market Concentration Rate
        3.2.1 Top 5 Anomaly Detection Players Market Share
        3.2.2 Top 10 Anomaly Detection Players Market Share
    3.3 Market Competition Trend
4 Global Anomaly Detection Market Size by Regions
    4.1 Global Anomaly Detection Revenue and Market Share by Regions
    4.2 North America Anomaly Detection Revenue and Growth Rate (2014-2019)
    4.3 Europe Anomaly Detection Revenue and Growth Rate (2014-2019)
    4.4 Asia-Pacific Anomaly Detection Revenue and Growth Rate (2014-2019)
    4.5 South America Anomaly Detection Revenue and Growth Rate (2014-2019)
    4.6 Middle East and Africa Anomaly Detection Revenue and Growth Rate (2014-2019)
5 North America Anomaly Detection Revenue by Countries
    5.1 North America Anomaly Detection Revenue by Countries (2014-2019)
    5.2 USA Anomaly Detection Revenue and Growth Rate (2014-2019)
    5.3 Canada Anomaly Detection Revenue and Growth Rate (2014-2019)
    5.4 Mexico Anomaly Detection Revenue and Growth Rate (2014-2019)
6 Europe Anomaly Detection Revenue by Countries
    6.1 Europe Anomaly Detection Revenue by Countries (2014-2019)
    6.2 Germany Anomaly Detection Revenue and Growth Rate (2014-2019)
    6.3 UK Anomaly Detection Revenue and Growth Rate (2014-2019)
    6.4 France Anomaly Detection Revenue and Growth Rate (2014-2019)
    6.5 Russia Anomaly Detection Revenue and Growth Rate (2014-2019)
    6.6 Italy Anomaly Detection Revenue and Growth Rate (2014-2019)
7 Asia-Pacific Anomaly Detection Revenue by Countries
    7.1 Asia-Pacific Anomaly Detection Revenue by Countries (2014-2019)
    7.2 China Anomaly Detection Revenue and Growth Rate (2014-2019)
    7.3 Japan Anomaly Detection Revenue and Growth Rate (2014-2019)
    7.4 Korea Anomaly Detection Revenue and Growth Rate (2014-2019)
    7.5 India Anomaly Detection Revenue and Growth Rate (2014-2019)
    7.6 Southeast Asia Anomaly Detection Revenue and Growth Rate (2014-2019)
8 South America Anomaly Detection Revenue by Countries
    8.1 South America Anomaly Detection Revenue by Countries (2014-2019)
    8.2 Brazil Anomaly Detection Revenue and Growth Rate (2014-2019)
    8.3 Argentina Anomaly Detection Revenue and Growth Rate (2014-2019)
    8.4 Colombia Anomaly Detection Revenue and Growth Rate (2014-2019)
9 Middle East and Africa Revenue Anomaly Detection by Countries
    9.1 Middle East and Africa Anomaly Detection Revenue by Countries (2014-2019)
    9.2 Saudi Arabia Anomaly Detection Revenue and Growth Rate (2014-2019)
    9.3 UAE Anomaly Detection Revenue and Growth Rate (2014-2019)
    9.4 Egypt Anomaly Detection Revenue and Growth Rate (2014-2019)
    9.5 Nigeria Anomaly Detection Revenue and Growth Rate (2014-2019)
    9.6 South Africa Anomaly Detection Revenue and Growth Rate (2014-2019)
10 Global Anomaly Detection Market Segment by Type
    10.1 Global Anomaly Detection Revenue and Market Share by Type (2014-2019)
    10.2 Global Anomaly Detection Market Forecast by Type (2019-2024)
    10.3 Cloud-based Revenue Growth Rate (2014-2024)
    10.4 On-premises Revenue Growth Rate (2014-2024)
    10.5 Hybrid Revenue Growth Rate (2014-2024)
11 Global Anomaly Detection Market Segment by Application
    11.1 Global Anomaly Detection Revenue Market Share by Application (2014-2019)
    11.2 Anomaly Detection Market Forecast by Application (2019-2024)
    11.3 BFSI Revenue Growth (2014-2019)
    11.4 Retail Revenue Growth (2014-2019)
    11.5 IT & Telecom Revenue Growth (2014-2019)
    11.6 Healthcare Revenue Growth (2014-2019)
    11.7 Manufacturing Revenue Growth (2014-2019)
    11.8 Defense and Government Revenue Growth (2014-2019)
    11.9 Others Revenue Growth (2014-2019)
12 Global Anomaly Detection Market Size Forecast (2019-2024)
    12.1 Global Anomaly Detection Market Size Forecast (2019-2024)
    12.2 Global Anomaly Detection Market Forecast by Regions (2019-2024)
    12.3 North America Anomaly Detection Revenue Market Forecast (2019-2024)
    12.4 Europe Anomaly Detection Revenue Market Forecast (2019-2024)
    12.5 Asia-Pacific Anomaly Detection Revenue Market Forecast (2019-2024)
    12.6 South America Anomaly Detection Revenue Market Forecast (2019-2024)
    12.7 Middle East and Africa Anomaly Detection Revenue Market Forecast (2019-2024)
13 Research Findings and Conclusion
14 Appendix
    14.1 Methodology
    14.2 Data Source

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