Security Analytics Market Growing at 17.1% CAGR, Driven by AI/ML, Cloud-Native Analytics, and Key Players Including IBM, Splunk, Microsoft, Palo Alto Networks, Cisco, AWS, SAS, Rapid7, and CrowdStrike

The Security Analytics Market is expected to grow with a CAGR of approximately 17.1 % from 2024 to 2031 as organizations worldwide intensify investments in advanced threat detection and data‐driven security analytics to protect critical infrastructures.
Growth is supported by increasing demand across key applications such as network security analytics, endpoint security analytics, application security analytics, web security analytics, and other real‐time threat detection and response systems, driven by rising cyber threats, the proliferation of connected devices, the integration of AI‐driven analytics and machine learning for proactive threat hunting, and stringent compliance requirements across industries such as BFSI, healthcare, IT & telecommunications, government, and retail. Security analytics solutions help enterprises monitor, analyze, and respond to sophisticated attacks by leveraging big data inputs from network traffic, endpoint behavior, cloud resources, and identity access logs, fostering broad adoption globally as part of enterprise cybersecurity strategies.

Download your exclusive sample report today (corporate email gets priority access):
https://www.datamintelligence.com/download-sample/security-analytics-market?sindhuri

Security Analytics Market: Competitive Intelligence
IBM Corporation, Splunk Inc., Microsoft Corporation, Palo Alto Networks Inc., Cisco Systems Inc., AWS (Amazon Web Services), SAS Institute Inc., Rapid7 Inc., CrowdStrike Holdings, and others.

The Security Analytics Market is strongly driven by leading players such as IBM, Splunk, Microsoft, Palo Alto Networks, and Cisco, who provide advanced analytics platforms and solutions that help organizations detect, investigate, and respond to cyber threats in real time. Their offerings spanning SIEM (Security Information and Event Management), UEBA (User and Entity Behavior Analytics), AI‐powered threat detection, and automated incident response enable enterprises to identify vulnerabilities, monitor anomalous activity, and strengthen cyber‐resilience across IT and OT environments. Growing adoption of cloud services, increasing sophistication of cyberattacks, and expanding regulatory compliance requirements are key factors accelerating market growth.
These companies' complementary strengths integrated enterprise security and analytics solutions from IBM and Microsoft; scalable event monitoring and data analytics platforms from Splunk and AWS; next‐generation firewall and threat intelligence integration from Palo Alto Networks and Cisco; advanced risk scoring and behavioral analytics from SAS and Rapid7; and endpoint‐centric threat insights from CrowdStrike are enhancing competitive positioning globally. Strategic focus areas include AI and machine learning‐driven threat detection, cloud‐native security analytics, real‐time correlation engines, automated response workflows, integration with SOAR (Security Orchestration, Automation and Response) tools, and partnerships with managed security service providers to improve visibility, speed, and efficacy of security operations across industries.

Get Customization in the report as per your requirements:
https://www.datamintelligence.com/customize/security-analytics-market?sindhuri

Recent Key Developments - United States & North America
✅ 2024-2025: Cisco completed its acquisition of Splunk to combine Splunk's leading data analytics and SIEM capabilities with Cisco's SecureX platform, strengthening its real‐time threat detection and response solutions in security analytics.
✅ 2025: North America continues to lead the security analytics market with the largest regional revenue share, driven by early adoption of AI/ML‐enabled analytics, advanced threat detection, and stringent regulatory compliance efforts.
✅ 2025-2026: Cloud and AI‐driven security analytics adoption is rising sharply among U.S. enterprises to detect threats in real time and reduce mean time to detection, especially for hybrid cloud and multi‐cloud environments.

Recent Key Developments - Global
✅ 2025: Strategic partnerships and integrations expanded across vendors, such as Zscaler's expanded collaboration with Vectra AI enhancing cloud security analytics through integrated, real‐time threat detection and response.
✅ 2025: Asia‐Pacific is among the fastest‐growing regions, fueled by rapid digital transformation, cloud adoption, government cybersecurity mandates, and rising threat awareness across enterprises in China, India, and Southeast Asia.
✅ Global enterprise demand for predictive analytics and behavior analytics is increasing as organizations seek to leverage AI/ML to anticipate and mitigate sophisticated threats before they escalate.

Recent Key Developments - Product & Technology Innovation
✅ Integration of AI/ML: Security analytics platforms increasingly embed AI/ML for automated threat detection, predictive insights, and real‐time anomaly detection, improving efficiency and reducing false positives.
✅ SIEM/XDR Convergence: Vendors are combining Security Information and Event Management (SIEM) with Extended Detection and Response (XDR) and SOAR capabilities to provide unified analytics and automated response across environments.
✅ Cloud‐Native Security Analytics: There's a broad shift to cloud‐native analytics solutions providing scalable, flexible analytics for hybrid and distributed IT ecosystems.

✅ 1. M&A / Strategic Developments
Varonis Acquires AllTrue ($125 M)
February 2026 Varonis Systems announced it is acquiring AllTrue, an AI security startup focused on trust, risk and security management for AI systems, in a deal of about $125 million in cash. The acquisition strengthens Varonis's analytics capabilities by integrating AI trust and risk analytics, a growing sub‐segment within security analytics for AI‐driven environments.
This move reflects a broader trend toward consolidating AI‐centric analytic and exposure management capabilities in the security analytics space as threats evolve rapidly.
Other Broader M&A Themes:
Cisco's $28 bn acquisition of Splunk (completed previously) continues to influence the security analytics landscape by combining networking telemetry with Splunk's big data analytics.
General cybersecurity M&A activity remains strong as firms acquire AI and threat‐analytics capabilities (platform expansion) part of a broader tech M&A boom.

✅ 2. New Product Launches & Tech Developments
Exabeam Enhances Security Analytics for AI Agent Risks
January 2026 Exabeam expanded its security analytics platform to include AI agent behavior analytics, enabling unified investigation and posture visibility for enterprise AI usage risks a key new product development in security analytics addressing the rise of internal AI‐generated activity.
This release brings AI‐driven behavior analytics and event correlation to help SOCs detect and respond to risks from AI agents and tools.
Gurucul's Native AI Insider Risk Management Module
Sept 2025 Gurucul launched an AI Insider Risk Management (AI‐IRM) product, integrating advanced analytics into a unified threat and risk platform, enhancing automated detection of insider threats across enterprise environments.
Kaspersky Upgrades SIEM with AI‐Based Account Breach Detection
Feb 2026 Kaspersky released an upgraded SIEM/security analytics solution that leverages AI to detect account compromises and anomalous user behaviors, bolstering analytics accuracy and compliance.

✅ 3. R&D News & Innovation Trends
AI‐Driven Multi‐Agent Threat Detection (Academic Advance)
Dec 2025 Research introduced Agentic Cyber, a generative AI‐powered multi‐agent system for real‐time threat detection across multimodal data streams, outperforming traditional intrusion detection systems and showcasing future possibilities for adaptive, automated security analytics.
This research indicates the potential for AI agents to enhance real‐time analytics and automated response within security analytics frameworks.

AI‐Driven Adaptive Insider Risk Analytics
» Research on Adaptive Insider Risk Management frameworks showed how hybrid AI and behavioral analytics can reduce false positives while improving detection precision in enterprise telemetry.

✅ 4. Technological Advancements & Industry Direction
AI Integration is Central to Modern Security Analytics Platforms
Microsoft was named a Leader in The Forrester WaveTM: Security Analytics Platforms, Q2 2025, highlighting Sentinel's AI‐powered analytics, UEBA, SOAR, and automation as core differentiators for SOC operations.
Analysts note that modern security analytics is increasingly driven by AI, automation, and cross‐domain correlation to reduce operator burden and speed detection/response.

AI‐Heavy Security Analytics Leadership Trends
» According to industry reporting, Microsoft leads cloud hyperscalers in embedding advanced AI capabilities into security analytics, reflecting heavy AI investment and strategic positioning in the analytics market.

Trend Drivers
» AI & Machine Learning Integration: AI correlates vast volumes of telemetry for faster, more accurate detections.
» Platform Convergence: Vendors increasingly bundle SIEM, UEBA, XDR, SOAR, and threat intelligence into unified analytics suites to reduce complexity.
» Cloud & Hybrid Environments: Cloud‐native analytics scales to meet enterprise demand and supports hybrid SOC deployments.

Segments Covered in the Security Analytics Market:
By Component
The market is segmented into Platform 40%, Services 30%, Professional Services 15%, Consulting Services 10%, and Support & Maintenance 5%, with platform solutions dominating due to increasing demand for real-time threat detection, monitoring, and advanced analytics. Services, including integration, deployment, and managed security, are growing rapidly as enterprises seek seamless implementation of analytics solutions. Professional and consulting services are expanding with complex enterprise security requirements. Support & maintenance ensure continuity, updates, and incident response, contributing to steady adoption. Continuous cyber threats and regulatory compliance drive overall market growth.
By Deployment Mode
Deployment modes include Cloud 60% and On-Premises 40%, with cloud deployments leading due to scalability, cost-effectiveness, and ease of integration with existing IT infrastructure. On-premises deployments remain relevant for highly regulated sectors requiring enhanced control, security, and compliance. Growing adoption of hybrid cloud strategies and AI-driven security solutions fuels market expansion across deployment modes.
By Organization Size
The market is segmented into Large Enterprises 65% and Small & Medium-Sized Enterprises (SMEs) 35%, with large enterprises dominating due to complex IT environments, higher risk exposure, and greater investment capacity in advanced analytics platforms. SMEs are increasingly adopting security analytics to strengthen cybersecurity posture, detect threats in real-time, and comply with regulations. Cloud-based solutions accelerate adoption among SMEs due to low upfront costs and ease of deployment.
By Application
Applications include Network Security Analytics 30%, Endpoint Security Analytics 25%, Web Security Analytics 15%, Application Security Analytics 15%, and Others 15%, with network security analytics leading due to rising cyber threats targeting networks, cloud infrastructure, and remote operations. Endpoint and web analytics are growing rapidly with increasing device proliferation and online services. Application security analytics adoption is accelerating in software-intensive enterprises and digital service providers. Advanced AI/ML-driven analytics enhance real-time detection, monitoring, and mitigation across all applications.
By End-User
End-users include BFSI 25%, Government & Defense 15%, Telecommunication & IT 15%, Healthcare & Life Sciences 10%, Manufacturing 10%, Retail & E-commerce 10%, Energy & Utilities 5%, and Others 10%, with BFSI leading due to critical need for fraud detection, regulatory compliance, and protection of sensitive financial data. Government and defense sectors adopt advanced analytics for national cybersecurity and intelligence operations. Telecom, IT, and healthcare industries are increasingly leveraging security analytics to safeguard data, networks, and operations. Retail and e-commerce adoption is driven by online fraud prevention and secure customer transactions.

Buy Now & Unlock 360° Market Intelligence:
https://www.datamintelligence.com/buy-now-page?report=security-analytics-market?sindhuri

Regional Analysis
North America - 35% Share
North America leads with 35% share, driven by early adoption of security analytics, strong presence of vendors, and high cybersecurity spending across BFSI, IT, and government sectors. Cloud-based deployments dominate. Network and endpoint security applications are widely used. Large enterprises are primary end-users. Regulatory compliance, cyber threat awareness, and technological innovation drive regional leadership.
Europe - 25% Share
Europe holds 25% share, supported by regulatory requirements such as GDPR, strong demand from BFSI, manufacturing, and government sectors. Cloud and hybrid deployments are widely adopted. Large enterprises dominate, with SMEs gradually adopting analytics platforms. Growing focus on cyber resilience and smart city initiatives supports market expansion.
Asia Pacific - 20% Share
Asia Pacific accounts for 20% share, driven by rising cyber threats, digital transformation, and adoption of cloud and AI-based analytics across BFSI, telecom, and manufacturing sectors. Network and endpoint security analytics are primary applications. Both large enterprises and SMEs are contributing to market growth. Governments are increasingly investing in cybersecurity infrastructure.

Request for 2 Days FREE Trial Access:
https://www.datamintelligence.com/reports-subscription?sindhuri
✅ Competitive Landscape
✅ Technology Roadmap Analysis
✅ Sustainability Impact Analysis
✅ KOL / Stakeholder Insights
✅ Consumer Behavior & Demand Analysis
✅ Import-Export Data Monitoring
✅ Live Market & Pricing Trends

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

This release was published on openPR.