Market Research Report
Threat Intelligence Market Analysis By Solution (Unified Threat Management, SIEM, IAM, Incident Forensics, Log Management, Third Party Risk Management), By Services, By Deployment, By Application And Segment Forecast, 2014 - 2025
|Published by||Grand View Research, Inc.||Product code||572881|
|Published||Content info||150 Pages
Delivery time: 2-3 business days
|Threat Intelligence Market Analysis By Solution (Unified Threat Management, SIEM, IAM, Incident Forensics, Log Management, Third Party Risk Management), By Services, By Deployment, By Application And Segment Forecast, 2014 - 2025|
|Published: September 14, 2017||Content info: 150 Pages||
The global threat intelligence market is anticipated to reach USD 12.6 billion by 2025, according to a new report by Grand View Research, Inc. The growing demand for threat intelligence is increasing owing to rise in cyber-crime, threat breaches and growing numbers of sophisticated attacks in leading security conscious sectors. Moreover, the breaches in most of the organizations have a financial or espionage motive which results in disruption of business and has become a major concern for them which is expected to contribute to demand of threat intelligence solutions and services immensely.
Threat intelligence incident forensics is expected to gain traction over the forecast period. The application of incident forensics initiates actionable security during breach through predictive and reactive analysis. Further, its application investigates the root causes of the breach and contains the damage of an attack. An organization lacking to incorporate advanced intelligence system might pose as a key determinant that significantly affects the mass adoption of incident forensics solution.
Organizations are preferring the use of cloud security as the cost incurred in the implementation of the on-premise solutions is high. The cloud-based security adoption is expected to increase in the near future owing to the growing adoption of cloud storage systems. The cloud-based deployment stops the unwanted traffic before it enters the network. Furthermore, it eliminates the requirement of on-premise equipment, which is expected to increase the demand for the product over the forecast period.