Agentic AI In Cybersecurity Market (2025 - 2033) Size, Share & Trends Analysis Report By Component (Solution, Services), By Application, By Deployment (On-premises, Cloud), By End Use, By Region, And Segment Forecasts

Agentic AI In Cybersecurity Market Summary

The global agentic AI in cybersecurity market size was estimated at USD 22.56 billion in 2024 and is projected to reach USD 322.39 billion by 2033, growing at a CAGR of 34.4% from 2025 to 2033. This growth is driven by rising demand for autonomous threat detection and response, rapid cloud adoption, real-time vulnerability management, and stricter global data protection regulations.

The agentic AI in cybersecurity industry is driven by the increasing complexity and volume of cyber threats targeting enterprises and important infrastructures. Organizations seek autonomous AI systems capable of real-time threat detection, analysis, and response to reduce reliance on manual intervention and improve defense efficiency. Rising adoption of cloud computing and digital transformation initiatives also contributes to the market’s expansion by demanding more advanced cybersecurity solutions. Additionally, regulatory mandates for enhanced data protection stimulate investments in AI-driven cybersecurity technologies.

Moreover, the market is driven by continuous advancements in AI algorithms that improve the accuracy and speed of threat mitigation. Greater integration of agentic AI with emerging technologies such as IoT, blockchain, and edge computing expands its application across diverse environments requiring adaptive security measures. Increased focus on automating security operations and reducing cyber risks encourages broader deployment of agentic AI solutions in industries like banking, healthcare, and government. Furthermore, ongoing digitalization and the proliferation of connected devices create sustained demand for autonomous cybersecurity tools capable of managing dynamic attack surfaces.

Moreover, the market benefits from the rising recognition of agentic AI’s value in proactively predicting and responding to complex cyber threats without human delay. Organizations emphasize scalable and cloud-based AI cybersecurity services to cope with evolving risks efficiently. Enhanced AI-driven analytics and threat intelligence enable better decision-making and reduced incident response times. These trends collectively support the rapid expansion and diversification of the agentic AI in cybersecurity industry.

Component Insights

The solution segment led the market with the largest revenue share of 64.3% in 2024, as organizations increasingly demand end-to-end platforms that integrate autonomous AI agents capable of performing complex tasks such as behavioral anomaly detection, threat intelligence correlation, and automated remediation. These solutions leverage continual machine learning improvements to adapt dynamically to emerging threats without requiring constant human oversight. As cyberattacks grow, more clients seek scalable products that seamlessly cover network, endpoint, and cloud environments. Furthermore, many providers incorporate explainable AI features to improve transparency and regulatory compliance, strengthening trust in autonomous decision-making.

The services segment is predicted to experience at the fastest CAGR during the forecast period, driven by the need for expert guidance in deploying agentic AI ecosystems tailored to specific organizational environments. Service providers deliver end-to-end assistance, including risk assessment, AI model training, threat scenario simulations, and operational integration with existing Security Orchestration, Automation, and Response (SOAR) systems. Managed Security Operations Centers (SOCs) increasingly utilize agentic AI service contracts to maintain 24/7 surveillance and incident response with minimal human fatigue. This expanding service layer helps organizations bridge gaps in AI expertise, enhancing technology adoption and operational resilience.

Application Insights

The threat detection and response segment accounted for the largest market revenue share in 2024, driven by agentic AI’s ability to process and analyze vast volumes of heterogeneous security data, such as network packets, user activity logs, and malware signatures in seconds, enabling immediate reaction to threats like zero-day exploits or lateral movement. Autonomous agents conduct continuous behavior baselining and apply predictive analytics to identify potential intrusions before they materialize fully. Automation of playbook-driven remediation actions, including network isolation or user session termination, reduces attacker dwell time and business disruption. This segment is important as organizations prioritize minimizing the window between breach detection and eradication.

The vulnerability management segment is expected to grow at the fastest CAGR during the forecast period. AI models continuously scan IT assets to identify exploitable weaknesses, integrating threat intelligence feeds to assess real-world exploit trends. This proactive stance allows organizations to focus patching efforts on the most impactful vulnerabilities, reducing resource strain and improving security effectiveness. Enhanced reporting and compliance tracking features also aid audits, making AI-powered vulnerability management indispensable amid evolving regulatory demands.

Deployment Insights

The cloud segment accounted for the largest market revenue share in 2024, due to increasing enterprise reliance on cloud-native applications and infrastructure; agentic AI solutions deployed in the cloud offer elasticity to address variable workloads and threat landscapes. Cloud-based AI services facilitate multi-tenant environments sharing threat intelligence, accelerating the detection of emerging global attack vectors. Integration with major cloud platforms’ native security tools streamlines policy enforcement and provides consolidated visibility across hybrid architectures. Organizations benefit from reduced deployment complexity, continuous AI model updates, and rapid scaling aligned with their digital transformation priorities.

The on-premises segment is anticipated to grow at the fastest CAGR during the forecast period. Industries with high data sensitivity, such as finance, healthcare, and defense, prioritize maintaining control over AI cybersecurity systems to meet stringent compliance and latency requirements. On-premises deployments enable organizations to tailor AI agent parameters precisely and retain ownership of security telemetry data. These solutions often provide real-time processing capabilities without reliance on internet connectivity, essential for mitigating insider threats and maintaining system integrity. The segment also caters to legacy infrastructure environments where migration to cloud remains gradual, ensuring agentic AI adoption includes varied IT landscapes.

End Use Insights

The IT & telecom segment accounted for the largest market revenue share in 2024. It was driven by deploying agentic AI technologies to secure complex, distributed networks handling enormous data throughput and diverse device ecosystems. Telecommunications providers integrate AI to detect Distributed Denial of Service (DDoS) attacks and network intrusions at scale, automating mitigation to maintain service availability. Likewise, IT enterprises employ AI agents to safeguard cloud data centers and virtualized environments from Advanced Persistent Threats (APTs). The sector’s important role in broader digital economies justifies extensive investment in autonomous cybersecurity measures that deliver rapid threat lifecycle management.

The government & defense segment is anticipated to grow at the fastest CAGR during the forecast period, driven by strategic imperatives to integrate agentic AI systems capable of identifying advanced cyber espionage campaigns and protecting critical infrastructure sectors such as energy grids, transportation, and communications. Military organizations utilize these AI solutions for autonomous network defense, insider threat detection, and Security Information and Event Management (SIEM) automation, optimizing limited human analyst resources. Public sector adoption benefits from dedicated funding to modernize cybersecurity capabilities, rigorous security certifications, and collaborations with private sector innovators. The increasing complexity of nation-state attackers necessitates AI systems capable of operating continuously with minimal false positives.

Regional Insights

North America dominated the agentic AI in cybersecurity market with the largest revenue share of 30.1% in 2024, driven by a dense ecosystem of AI research hubs, cybersecurity technology providers, and large enterprises adopting autonomous defenses to protect intellectual property and sensitive data. Regulatory frameworks such as the California Consumer Privacy Act (CCPA) and federal guidelines encourage proactive adoption of AI tools for compliance and risk mitigation. The presence of notable cybersecurity startups and established firms accelerates innovation cycles, driving agentic AI product and service evolution.

U.S. Agentic AI In Cybersecurity Market Trends

The agentic AI in cybersecurity market in the U.S. is expected to grow at a significant CAGR during the forecast period, as it stands at the forefront of AI research, technological innovation, and extensive content-rich digital infrastructure. The prevalence of high-profile cyberattacks prioritizes investment in autonomous cybersecurity solutions to safeguard intellectual property, financial systems, and national security. The country’s mature regulatory environment incentivizes organizations to adopt agentic AI to meet compliance and risk management obligations.

Europe Agentic AI In Cybersecurity Market Trends

The agentic AI in cybersecurity market in Europe is expected to grow at a significant CAGR over the forecast period. Stringent cybersecurity and data privacy regulations, such as GDPR, motivate organizations to bolster defenses using advanced AI-driven automation. The region’s diverse economic landscape, with wide-ranging industries from finance to manufacturing, demands adaptable cybersecurity frameworks. European governments and regulatory bodies actively promote secure digital environments through funding and collaborative cybersecurity initiatives.

Asia Pacific Agentic AI In Cybersecurity Market Trends

The agentic AI in cybersecurity market in the Asia Pacific is anticipated to grow at the fastest CAGR over the forecast period, attributable to rapid digital adoption, increased internet penetration, and burgeoning enterprise technology investments. Governments across APAC prioritize strengthening cyber defenses to protect national interests amidst rising threat complexities. The proliferation of mobile devices, IoT, and digital services expands potential vulnerabilities, necessitating scalable, autonomous AI cybersecurity.

Key Agentic AI In Cybersecurity Company Insights

Some key companies in the agentic AI cybersecurity industry are CrowdStrike, Palo Alto Networks, Microsoft, and Darktrace Holdings Limited.

• CrowdStrike is a prominent player in cybersecurity known for its AI-native Falcon platform, which integrates advanced agentic AI technologies to enable autonomous threat detection, real-time response, and security automation. The company collaborates with major AI innovators to refine reasoning models that enhance detection accuracy and reduce false positives, enabling security teams to focus on real threats efficiently. CrowdStrike’s agentic AI capabilities extend to governing AI agents within SaaS environments, securing AI-driven automation, and managing AI identities to protect enterprise attack surfaces.

• Palo Alto Networks delivers comprehensive cybersecurity solutions incorporating agentic AI for adaptive threat intelligence and automated defense mechanisms. Its AI-driven platforms utilize machine learning and predictive analytics to autonomously detect, analyze, and respond to complex cyber threats across cloud, endpoint, and network environments. The company's security products emphasize continuous monitoring and dynamic policy enforcement, helping businesses reduce response times and manage evolving risks.

Recent Developments

• In August 2025, SOCRadar launched the SOCRadar Agentic Threat Intelligence platform. This innovative system leverages autonomous AI agents to proactively detect, analyze, and respond to external cyber threats with minimal human intervention, delivering unmatched speed and accuracy in threat management. Unlike traditional threat intelligence platforms that provide raw data for manual analysis, SOCRadar’s agentic platform operates like a fully automated defense system, continuously monitoring malicious activities, evaluating contextual risks, and initiating countermeasures independently.

• In August 2025, in collaboration, Descope Inc. and Token Security released the "AI Security Guide: A Maturity Model for Secure Agentic AI Adoption." This comprehensive framework is designed to assist organizations in adopting agentic AI technologies securely, responsibly, and at scale while adapting AI innovation. The guide addresses the emerging security challenges posed by autonomous AI agents that can independently act, make decisions, and trigger workflows.

• In August 2025, Sysdig launched the industry’s first agentic cloud security platform. This platform utilizes autonomous AI agents that perform comprehensive end-to-end analysis of cloud environments to uncover hidden business risks. Central to this innovation is Sysdig Sage, an integrated AI cloud security analyst that comprehends the full business context and offers clear, actionable remediation recommendations. As a result, organizations can reduce their exposure time to vulnerabilities from days to minutes, significantly enhancing their security posture. 

Agentic AI In Cybersecurity Market Report Scope

Global Agentic AI In Cybersecurity Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global agentic AI in cybersecurity market report based on component, application, deployment, end use, and region.

• Component Outlook (Revenue, USD Million, 2021 - 2033)

  • Solution

  • Services

• Application Outlook (Revenue, USD Million, 2021 - 2033)

  • Threat Detection and Response

  • Vulnerability Management

  • Others

• Deployment Outlook (Revenue, USD Million, 2021 - 2033)

  • On-premises

  • Cloud

• End Use Outlook (Revenue, USD Million, 2021 - 2033)

  • BFSI

  • Healthcare

  • IT & Telecom

  • Retail & E-commerce

  • Government & Defense

  • Others

• Regional Outlook (Revenue, USD Million, 2021 - 2033)

  • North America

    • U.S.

    • Canada

    • Mexico

  • Europe

    • Germany

    • UK

    • France

  • Asia Pacific

    • China

    • Japan

    • India

    • South Korea

    • Australia

  • Latin America

    • Brazil

  • Middle East and Africa (MEA)

    • UAE

    • KSA

    • South Africa