The global security analytics market size is expected to reach USD 50.38 billion by 2030, registering a CAGR of 24.6% during the forecast period. Increasing demand to accelerate the investigation process for detecting advanced threats in the network layers is a key factor contributing to the market growth. Detecting advanced level threats helps enterprises to reduce the impact of cyberattacks and provides the ability to the security and risk professionals to respond to the threats at a faster rate.
Furthermore, increasing instances of advanced level cyberattacks across public and private enterprises are anticipated to boost the market growth. The advanced level threats are multi-vector and multi-staged in nature that silently attack and damage all the layers. Thus, it becomes essential for the enterprises to adopt analytics-based security solutions to detect all the multiple events of threats occurred at multiple stages.
Furthermore, demand for advanced detection and threat hunting capabilities among security and risk professionals is growing at a significant rate. The advanced detection capabilities include technologies such as machine learning (ML), predictive analytics, and data science concepts that identify anomaly behavior of threats. The technologies analyze and filter a vast amount of data collected from multiple security devices, network layers, audit files, sensors, platforms, and other traditional security log files in real time. After analyzing, the solution alerts to the security professionals or security forensics team about any potential malicious activity, and thus it helps them in threat hunting. Additionally, as cybersecurity vendors release updated analytics-driven security solutions with improved threat intelligence and detection techniques, the adoption of security analytics increases for threat incident mining.
The security and risk professionals find difficulties in managing compliance requirements with the changing technological landscape and rising security risks in organizations. Complying with government regulatory requirements and industry regulations, such as HIPAA, PCI-DSS, and GDPR, has become a standard measure for achieving data security among organizations. Failing to comply with such stringent standards can expose organizations to hefty penalties and cyber threats. As a result, enterprises are investing in analytics-based security tools or platforms to complement their existing cybersecurity measures and help them in meeting compliance requirements easily.
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Furthermore, increasing instances of advanced level cyberattacks across public and private enterprises are anticipated to boost the market growth. The advanced level threats are multi-vector and multi-staged in nature that silently attack and damage all the layers. Thus, it becomes essential for the enterprises to adopt analytics-based security solutions to detect all the multiple events of threats occurred at multiple stages.
Furthermore, demand for advanced detection and threat hunting capabilities among security and risk professionals is growing at a significant rate. The advanced detection capabilities include technologies such as machine learning (ML), predictive analytics, and data science concepts that identify anomaly behavior of threats. The technologies analyze and filter a vast amount of data collected from multiple security devices, network layers, audit files, sensors, platforms, and other traditional security log files in real time. After analyzing, the solution alerts to the security professionals or security forensics team about any potential malicious activity, and thus it helps them in threat hunting. Additionally, as cybersecurity vendors release updated analytics-driven security solutions with improved threat intelligence and detection techniques, the adoption of security analytics increases for threat incident mining.
The security and risk professionals find difficulties in managing compliance requirements with the changing technological landscape and rising security risks in organizations. Complying with government regulatory requirements and industry regulations, such as HIPAA, PCI-DSS, and GDPR, has become a standard measure for achieving data security among organizations. Failing to comply with such stringent standards can expose organizations to hefty penalties and cyber threats. As a result, enterprises are investing in analytics-based security tools or platforms to complement their existing cybersecurity measures and help them in meeting compliance requirements easily.
Security Analytics Market Report Highlights
- On the basis of component, the solutions segment accounted for the largest market share in 2023 owing to increase in demand to manage stringent government and industry compliance requirements, coupled with identification and detection of advanced cyber threats and hidden malware in networks infrastructures
- By application, the network security analytics segment held the largest revenue share in 2023 and is expected to witness significant growth in future owing to increasing demand to analyze end users and application traffic passed across a network layer
- Based on organization size, the large enterprise segment held the largest revenue share in 2023 owing to rise in big data across all the network layers, increasing usage of cloud-based deployments, and BYOD trends, along with complying industry standards
- By industry vertical, the healthcare sector is expected to emerge as the fastest growing segment with a CAGR of 28.2% over the forecast period
- North America held the largest market share in 2023 and is anticipated to dominate the market over the forecast period.
Why should you buy this report?
- Comprehensive Market Analysis: Gain detailed insights into the global market across major regions and segments
- Competitive Landscape: Explore the market presence of key players worldwide
- Future Trends: Discover the pivotal trends and drivers shaping the future of the global market
- Actionable Recommendations: Utilize insights to uncover new revenue streams and guide strategic business decisions
This report addresses:
- Market intelligence to enable effective decision-making
- Market estimates and forecasts from 2018 to 2030
- Growth opportunities and trend analyses
- Segment and regional revenue forecasts for market assessment
- Competition strategy and market share analysis
- Product innovation listing for you to stay ahead of the curve
- COVID-19's impact and how to sustain in these fast-evolving markets
The leading players in the Security Analytics market include:
- LevelBlue
- Broadcom (Symantec)
- Cisco Systems, Inc.
- FireEye, Inc.
- Fortinet, Inc.
- Hewlett Packard Enterprise Development LP
- IBM
- McAfee, LLC
- Microsoft
- Palo Alto Networks
- RSA Security LLC
- Securonix
- Splunk LLC
- Sumo Logic
- Tenable, Inc.
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Table of Contents
Chapter 1. Methodology and Scope
Chapter 2. Executive Summary
Chapter 3. Security Analytics Market Variables, Trends, & Scope
Chapter 4. Security Analytics Market: Component Estimates & Trend Analysis
Chapter 5. Security Analytics Market: Organization Size Estimates & Trend Analysis
Chapter 6. Security Analytics Market: Application Estimates & Trend Analysis
Chapter 7. Security Analytics Market: Vertical Estimates & Trend Analysis
Chapter 8. Security Analytics Market: Regional Estimates & Trend Analysis
Chapter 9. Competitive Landscape
List of Tables
List of Figures
Companies Mentioned
- LevelBlue
- Broadcom (Symantec)
- Cisco Systems, Inc.
- FireEye, Inc.
- Fortinet, Inc.
- Hewlett Packard Enterprise Development LP
- IBM
- McAfee, LLC
- Microsoft
- Palo Alto Networks
- RSA Security LLC
- Securonix
- Splunk LLC
- Sumo Logic
- Tenable, Inc.
Methodology
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