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Global AI for Cybersecurity Market Size, Status and Forecast 2019-2025

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Table of Contents

    1 Report Overview

    • 1.1 Study Scope
    • 1.2 Key Market Segments
    • 1.3 Players Covered
    • 1.4 Market Analysis by Type
      • 1.4.1 Global AI for Cybersecurity Market Size Growth Rate by Type (2014-2025)
      • 1.4.2 Critical Infrastructure Security
      • 1.4.3 Application Security
      • 1.4.4 Network Security
      • 1.4.5 Cloud Security
      • 1.4.6 Internet of Things (IoT) Security
    • 1.5 Market by Application
      • 1.5.1 Global AI for Cybersecurity Market Share by Application (2019-2025)
      • 1.5.2 Large Enterprises
      • 1.5.3 SME
      • 1.5.4 Military
      • 1.5.5 Government
      • 1.5.6 Hospital
      • 1.5.7 Individual
      • 1.5.8 Others
    • 1.6 Study Objectives
    • 1.7 Years Considered

    2 Global Growth Trends

    • 2.1 AI for Cybersecurity Market Size
    • 2.2 AI for Cybersecurity Growth Trends by Regions
      • 2.2.1 AI for Cybersecurity Market Size by Regions (2019-2025)
      • 2.2.2 AI for Cybersecurity Market Share by Regions (2014-2019)
    • 2.3 Industry Trends
      • 2.3.1 Market Top Trends
      • 2.3.2 Market Drivers
      • 2.3.3 Market Challenges
      • 2.3.4 Porter’s Five Forces Analysis

    3 Market Share by Key Players

    • 3.1 AI for Cybersecurity Market Size by by Players
      • 3.1.1 Global AI for Cybersecurity Revenue by by Players (2014-2019)
      • 3.1.2 Global AI for Cybersecurity Revenue Market Share by by Players (2014-2019)
      • 3.1.3 Global AI for Cybersecurity Market Concentration Ratio (CR5 and HHI)
    • 3.2 AI for Cybersecurity Key Players Head office and Area Served
    • 3.3 Key Players AI for Cybersecurity Product/Solution/Service
    • 3.4 Date of Enter into AI for Cybersecurity Market
    • 3.5 Mergers & Acquisitions, Expansion Plans

    4 Breakdown Data by Type and Application

    • 4.1 Global AI for Cybersecurity Market Size by Type (2014-2019)
    • 4.2 Global AI for Cybersecurity Market Size by Application (2014-2019)

    5 North America

    • 5.1 North America AI for Cybersecurity Market Size (2014-2019)
    • 5.2 AI for Cybersecurity Key Players in North America
    • 5.3 North America AI for Cybersecurity Market Size by Type
    • 5.4 North America AI for Cybersecurity Market Size by Application

    6 Europe

    • 6.1 Europe AI for Cybersecurity Market Size (2014-2019)
    • 6.2 AI for Cybersecurity Key Players in Europe
    • 6.3 Europe AI for Cybersecurity Market Size by Type
    • 6.4 Europe AI for Cybersecurity Market Size by Application

    7 China

    • 7.1 China AI for Cybersecurity Market Size (2014-2019)
    • 7.2 AI for Cybersecurity Key Players in China
    • 7.3 China AI for Cybersecurity Market Size by Type
    • 7.4 China AI for Cybersecurity Market Size by Application

    8 Japan

    • 8.1 Japan AI for Cybersecurity Market Size (2014-2019)
    • 8.2 AI for Cybersecurity Key Players in Japan
    • 8.3 Japan AI for Cybersecurity Market Size by Type
    • 8.4 Japan AI for Cybersecurity Market Size by Application

    9 Southeast Asia

    • 9.1 Southeast Asia AI for Cybersecurity Market Size (2014-2019)
    • 9.2 AI for Cybersecurity Key Players in Southeast Asia
    • 9.3 Southeast Asia AI for Cybersecurity Market Size by Type
    • 9.4 Southeast Asia AI for Cybersecurity Market Size by Application

    10 India

    • 10.1 India AI for Cybersecurity Market Size (2014-2019)
    • 10.2 AI for Cybersecurity Key Players in India
    • 10.3 India AI for Cybersecurity Market Size by Type
    • 10.4 India AI for Cybersecurity Market Size by Application

    11 Central & South America

    • 11.1 Central & South America AI for Cybersecurity Market Size (2014-2019)
    • 11.2 AI for Cybersecurity Key Players in Central & South America
    • 11.3 Central & South America AI for Cybersecurity Market Size by Type
    • 11.4 Central & South America AI for Cybersecurity Market Size by Application

    12 International Players Profiles

    • 12.1 Cynet
      • 12.1.1 Cynet Company Details
      • 12.1.2 Company Description and Business Overview
      • 12.1.3 AI for Cybersecurity Introduction
      • 12.1.4 Cynet Revenue in AI for Cybersecurity Business (2014-2019))
      • 12.1.5 Cynet Recent Development
    • 12.2 FireEye
      • 12.2.1 FireEye Company Details
      • 12.2.2 Company Description and Business Overview
      • 12.2.3 AI for Cybersecurity Introduction
      • 12.2.4 FireEye Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.2.5 FireEye Recent Development
    • 12.3 Check Point
      • 12.3.1 Check Point Company Details
      • 12.3.2 Company Description and Business Overview
      • 12.3.3 AI for Cybersecurity Introduction
      • 12.3.4 Check Point Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.3.5 Check Point Recent Development
    • 12.4 Symantec
      • 12.4.1 Symantec Company Details
      • 12.4.2 Company Description and Business Overview
      • 12.4.3 AI for Cybersecurity Introduction
      • 12.4.4 Symantec Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.4.5 Symantec Recent Development
    • 12.5 Sophos
      • 12.5.1 Sophos Company Details
      • 12.5.2 Company Description and Business Overview
      • 12.5.3 AI for Cybersecurity Introduction
      • 12.5.4 Sophos Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.5.5 Sophos Recent Development
    • 12.6 IBM
      • 12.6.1 IBM Company Details
      • 12.6.2 Company Description and Business Overview
      • 12.6.3 AI for Cybersecurity Introduction
      • 12.6.4 IBM Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.6.5 IBM Recent Development
    • 12.7 JASK
      • 12.7.1 JASK Company Details
      • 12.7.2 Company Description and Business Overview
      • 12.7.3 AI for Cybersecurity Introduction
      • 12.7.4 JASK Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.7.5 JASK Recent Development
    • 12.8 Zensed
      • 12.8.1 Zensed Company Details
      • 12.8.2 Company Description and Business Overview
      • 12.8.3 AI for Cybersecurity Introduction
      • 12.8.4 Zensed Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.8.5 Zensed Recent Development
    • 12.9 Disrupt6
      • 12.9.1 Disrupt6 Company Details
      • 12.9.2 Company Description and Business Overview
      • 12.9.3 AI for Cybersecurity Introduction
      • 12.9.4 Disrupt6 Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.9.5 Disrupt6 Recent Development
    • 12.10 High-Tech Bridge
      • 12.10.1 High-Tech Bridge Company Details
      • 12.10.2 Company Description and Business Overview
      • 12.10.3 AI for Cybersecurity Introduction
      • 12.10.4 High-Tech Bridge Revenue in AI for Cybersecurity Business (2014-2019)
      • 12.10.5 High-Tech Bridge Recent Development
    • 12.11 Status Today
    • 12.12 Sovereign Intelligence
    • 12.13 Securonix
    • 12.14 Fortinet
    • 12.15 Cylance
    • 12.16 Vectra
    • 12.17 Harvest.ai

    13 Market Forecast 2019-2025

    • 13.1 Market Size Forecast by Product (2019-2025)
    • 13.2 Market Size Forecast by Application (2019-2025)
    • 13.3 Market Size Forecast by Regions
    • 13.4 North America
    • 13.5 Europe
    • 13.6 China
    • 13.7 Japan
    • 13.8 Southeast Asia
    • 13.9 India
    • 13.10 Central & South America

    14 Analyst's Viewpoints/Conclusions

      15 Appendix

      • 15.1 Research Methodology
        • 15.1.1 Methodology/Research Approach
          • 15.1.1.1 Research Programs/Design
          • 15.1.1.2 Market Size Estimation
          • 15.1.1.3 Market Breakdown and Data Triangulation
        • 15.1.2 Data Source
          • 15.1.2.1 Secondary Sources
          • 15.1.2.2 Primary Sources
      • 15.2 Disclaimer

      Artificial intelligence is the new golden ring for cybersecurity developers, thanks to its potential to not just automate functions at scale but also to make contextual decisions based on what it learns over time. This can have big implications for security personnel—all too often, companies simply don’t have the resources to search through the haystack of anomalies for the proverbial malicious needle.
      In 2018, the global AI for Cybersecurity market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025.

      This report focuses on the global AI for Cybersecurity status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI for Cybersecurity development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

      The key players covered in this study
      Cynet
      FireEye
      Check Point
      Symantec
      Sophos
      IBM
      JASK
      Zensed
      Disrupt6
      High-Tech Bridge
      Status Today
      Sovereign Intelligence
      Securonix
      Fortinet
      Cylance
      Vectra
      Harvest.ai

      Market segment by Type, the product can be split into
      Critical Infrastructure Security
      Application Security
      Network Security
      Cloud Security
      Internet of Things (IoT) Security

      Market segment by Application, split into
      Large Enterprises
      SME
      Military
      Government
      Hospital
      Individual
      Others

      Market segment by Regions/Countries, this report covers
      North America
      Europe
      China
      Japan
      Southeast Asia
      India
      Central & South America

      The study objectives of this report are:
      To analyze global AI for Cybersecurity status, future forecast, growth opportunity, key market and key players.
      To present the AI for Cybersecurity development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
      To strategically profile the key players and comprehensively analyze their development plan and strategies.
      To define, describe and forecast the market by product type, market and key regions.

      In this study, the years considered to estimate the market size of AI for Cybersecurity are as follows:
      History Year: 2014-2018
      Base Year: 2018
      Estimated Year: 2019
      Forecast Year 2019 to 2025
      For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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