Artificial Intelligence in Security Market by Offering, Technology, Deployment Type, Security Type, Security Solution, End-User, and Geography - Global Forecast to 2025 - Research and Markets

DUBLIN — (BUSINESS WIRE) — January 8, 2018 — The "Artificial Intelligence in Security Market by Offering (Hardware, Software, Service), Technology (Machine Learning, Context Awareness, NLP), Deployment Type, Security Type, Security Solution, End-User, and Geography - Global Forecast to 2025" report has been added to Research and Markets' offering.

The AI in Security Market is Expected to Be Valued at USD 3.92 Billion in 2017 And is Likely to Reach USD 34.81 Billion By 2025, at a CAGR of 31.38%

Factors such as the increasing use of the Internet and constant need for employees to be online are contributing to the growth of the market. Another major factor boosting the demand for AI-based security solutions is the shortage of cybersecurity professionals. The use of AI-based solutions for cybersecurity can mitigate the need for cybersecurity professionals. The inability of AI to stop zero-day and advanced threats, and limited security budgets of companies are the two major factors restraining the growth of the AI in security market.

AI for endpoint security solutions involves the integration of endpoint data and analytics to gain threat intelligence, which helps detect and expose an attack in a particular environment. Rapidly increasing number of connected devices worldwide is one of the major factors driving the growth of this market. Also, the rising number of mobile devices has made the networks more vulnerable to cyberattacks. In addition, the trend of connected devices, mobile workers, BYOD, social media, and cloud synchronizing tools are driving the growth of the market for endpoint security.

Machine learning enables systems to automatically improve their performances with experience. This technology can reliably and quickly scan, parse, and react to anomalies. The information gathered can be shared with their human counterparts, thereby mitigating cyberattacks. Machine learning can also help operators reverse engineer attacks to make improvements to their systems, by addressing and preventing attacks before they happen. Machine learning's ability to collect and handle big data, along with its increased ability to perform previously impossible calculations, is fueling the growth of the market for machine learning.

In APAC, countries such as India, Australia, Japan, China, and South Korea are vulnerable to cyberattacks. With the increasing incidents of cyberattacks and a growing cyber-war in the region, organizations and governments are focusing on a robust defense infrastructure. SMEs and large enterprises in this region are rapidly adopting cybersecurity solutions to ensure security of their networks, web, and mobile applications. High adoption of advanced technologies, such as IoT, big data analytics, and cloud computing, and rising concerns about data security in the region are expected to drive the growth of the AI in security market in APAC.

North America is an early adopter of innovative technologies, and several cybersecurity vendors are based in this region. Banks, government agencies, and financial institutes in this region face ever increasing challenges related to cyber threats. Therefore, they implement advanced technologies to manage the cybersecurity landscape. This factors are contributing to the growth of the AI in security market in North America.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview

6 Artificial Intelligence in Security Market, By Offering

7 Artificial Intelligence in Security Market, By Deployment Type

8 Artificial Intelligence in Security Market, By Security Type

9 Artificial Intelligence in Security Market, By Technology

10 Artificial Intelligence in Security Market, By Security Solutions

11 Artificial Intelligence in Security Market, By End-User Industry

12 Artificial Intelligence in Security Market, Geographic Analysis

13 Competitive Landscape

14 Company Profiles

  • Acalvio
  • Amazon
  • Antivirus Companies
  • Argus Cyber Security
  • Bitsight Technologies
  • Cylance
  • Darktrace
  • Deep Instinct
  • Feedzai
  • Fortscale
  • High-Tech Bridge
  • Ibm
  • Indegy
  • Intel
  • Micron
  • Nozomi Networks
  • Nvidia
  • Samsung Electronics
  • Securonix
  • Sentinelone
  • Sift Science
  • Skycure
  • Sparkcognition
  • Threatmetrix
  • Vectra Networks
  • Xilinx
  • Zimperium

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