The Global Agentic AI In Cybersecurity Market size is expected to reach USD 227.74 billion by 2032, rising at a market growth of 34.0% CAGR during the forecast period.
The agentic AI cybersecurity market is changing quickly as systems move from traditional rule-based automation to autonomous agents that can think, plan, and act within set limits. Agentic AI is different from older models that only sent alerts or found problems. It can now investigate threats, isolate compromised assets, and even start fixing them on its own. The change is happening because cyberattacks are getting more complicated and there aren't enough skilled workers. Companies, governments, and security vendors are all adding agentic functions to their operations, incident response, and vulnerability management. As organizations try to find a balance between speed and freedom and accountability, transparency, and safety, the technology is getting better along with the rules and morals.
Some of the most important trends in this market are the use of autonomy in security operations to cut down on alert fatigue and speed up response times, strong governance systems to make sure that things are clear and accountable, and the rise of multi-agent architectures that work together across different business environments. Top companies are using strategies like careful pilot deployments, building governance into product design, and coming up with new features like autonomous threat hunting and malware analysis. There is more competition now, with cloud providers, well-known cybersecurity companies, and new businesses all trying to be the best. In this area, success is becoming less about how advanced the technology is and more about how well you can build trust by deploying autonomous security agents in a safe, open, and compliant way.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In July, 2025, IBM Corporation unveiled industry-first governance tools for agentic AI security, enhancing compliance, lifecycle management, and risk mitigation. The offerings integrate Guardium AI Security with watsonx.governance, add compliance accelerators, and introduce consultancy services. Focused on governance, integration, and monitoring, IBM strengthens enterprise resilience while addressing rising concerns over agentic AI risks and security. Additionally, In August, 2025, CrowdStrike Holdings, Inc. unveiled Falcon Next-Gen Identity Security, a unified solution protecting human, non-human, and AI agent identities across hybrid environments. Built into the AI-native Falcon platform, it integrates access prevention, identity threat detection, privileged access management, and agentic AI-driven protection to block real-time identity attacks, lateral movement, and privilege escalation.
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation, Google LLC, and NVIDIA Corporation are the forerunners in the Agentic AI In Cybersecurity Market. In August, 2025, Google LLC unveiled advanced AI security capabilities to protect agentic AI. Updates to Security Command Center include expanded AI agent discovery, Model Armor safeguards, real-time runtime threat protection, and enhanced governance controls, strengthening defenses against vulnerabilities, prompt injection, data leakage, and external cyber risks. Companies such as Salesforce, Inc., IBM Corporation, Palo Alto Networks, Inc. are some of the key innovators in Agentic AI In Cybersecurity Market.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
Asia Pacific and LAMEA are becoming high-potential markets because of the rapid growth of digital technology, the rise of cyberthreats, and the government's growing focus on cybersecurity. Countries like China, Japan, South Korea, and India are putting a lot of money into AI-based security solutions in the Asia Pacific region. This is because cloud adoption and big digital ecosystems are making a lot of people want autonomous threat detection and response. In LAMEA, on the other hand, places like Brazil, the UAE, Saudi Arabia, and South Africa are seeing faster adoption as companies upgrade their cybersecurity systems to protect important assets and keep up with changing rules. Both regions are still in the early stages compared to North America and Europe, but they are expected to see a lot of growth as businesses use agentic AI to fill skill gaps and make themselves more resistant to attacks that are getting more sophisticated.
Competition in the agentic-AI cybersecurity market is fragmented and innovation-driven. Startups and specialist vendors focus on niche automation, threat-hunting, and autonomous response, differentiating via data partnerships, model robustness, and explainability. Buyers face varied maturity and integration challenges, creating opportunity for consolidation, strategic alliances, and rapid feature differentiation as firms race to prove reliability and true operational efficacy.
Key Highlights:
- The North America market dominated Global Agentic AI In Cybersecurity Market in 2024, accounting for a 37.00% revenue share in 2024.
- The U.S. market is projected to maintain its leadership in North America, reaching a market size of USD 59.65 billion by 2032.
- Among the various Component, the Solution segment dominated the global market, contributing a revenue share of 63.37% in 2024.
- In terms of Application, Threat Detection & Response segment are expected to lead the global market, with a projected revenue share of 42.36% by 2032.
- The Cloud segment emerged as the leading Deployment in 2024, capturing a 52.28% revenue share, and is projected to retain its dominance during the forecast period.
- The IT & Telecom Market in End Use is poised to grow at the market in 2032 with a market size of USD 52.26 billion and is projected to maintain its dominant position throughout the forecast period.
The agentic AI cybersecurity market is changing quickly as systems move from traditional rule-based automation to autonomous agents that can think, plan, and act within set limits. Agentic AI is different from older models that only sent alerts or found problems. It can now investigate threats, isolate compromised assets, and even start fixing them on its own. The change is happening because cyberattacks are getting more complicated and there aren't enough skilled workers. Companies, governments, and security vendors are all adding agentic functions to their operations, incident response, and vulnerability management. As organizations try to find a balance between speed and freedom and accountability, transparency, and safety, the technology is getting better along with the rules and morals.
Some of the most important trends in this market are the use of autonomy in security operations to cut down on alert fatigue and speed up response times, strong governance systems to make sure that things are clear and accountable, and the rise of multi-agent architectures that work together across different business environments. Top companies are using strategies like careful pilot deployments, building governance into product design, and coming up with new features like autonomous threat hunting and malware analysis. There is more competition now, with cloud providers, well-known cybersecurity companies, and new businesses all trying to be the best. In this area, success is becoming less about how advanced the technology is and more about how well you can build trust by deploying autonomous security agents in a safe, open, and compliant way.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In July, 2025, IBM Corporation unveiled industry-first governance tools for agentic AI security, enhancing compliance, lifecycle management, and risk mitigation. The offerings integrate Guardium AI Security with watsonx.governance, add compliance accelerators, and introduce consultancy services. Focused on governance, integration, and monitoring, IBM strengthens enterprise resilience while addressing rising concerns over agentic AI risks and security. Additionally, In August, 2025, CrowdStrike Holdings, Inc. unveiled Falcon Next-Gen Identity Security, a unified solution protecting human, non-human, and AI agent identities across hybrid environments. Built into the AI-native Falcon platform, it integrates access prevention, identity threat detection, privileged access management, and agentic AI-driven protection to block real-time identity attacks, lateral movement, and privilege escalation.
KBV Cardinal Matrix - Market Competition Analysis
Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation, Google LLC, and NVIDIA Corporation are the forerunners in the Agentic AI In Cybersecurity Market. In August, 2025, Google LLC unveiled advanced AI security capabilities to protect agentic AI. Updates to Security Command Center include expanded AI agent discovery, Model Armor safeguards, real-time runtime threat protection, and enhanced governance controls, strengthening defenses against vulnerabilities, prompt injection, data leakage, and external cyber risks. Companies such as Salesforce, Inc., IBM Corporation, Palo Alto Networks, Inc. are some of the key innovators in Agentic AI In Cybersecurity Market.
COVID-19 Impact Analysis
The COVID-19 pandemic sped up the use of agentic AI in cybersecurity as companies rushed to protect their cloud workloads, remote workers, and digital services from a rise in cyberattacks. Human-centered SOC operations couldn't keep up, so autonomous agents were put in place to find threats, sort alerts, and respond quickly. Distributed workforces raised the risks to endpoints and identities. Agentic AI helped by keeping an eye on behavior, reporting strange behavior, and enforcing zero-trust access without constant supervision. These tools were used by important sectors like healthcare, logistics, and government to protect sensitive data and keep things running, showing that they work well in high-stakes situations. The crisis also led to long-term investments, with vendors adding agentic AI to SIEM, SOAR, and XDR platforms. This made autonomous cybersecurity a common way to lower dwell time and operational costs. Thus, the COVD-19 pandemic had a positive impact on the market.Driving and Restraining Factors
Drivers
- Rising Sophistication of Cyber Threats
- Explosive Growth in Data Volumes and Digital Ecosystems
- Rising Demand for Autonomous Cyber Defense and Reduced Human Dependency
- Regulatory Pressure and Compliance Requirements
Restraints
- Data Privacy and Ethical Concerns
- High Implementation Costs and Resource Constraints
- Risks of Over-Reliance and Unintended Consequences
Opportunities
- Proactive Threat Anticipation Through Autonomous Defense Systems
- Intelligent Security Orchestration and Automated Incident Response (SOAR) Augmentation
- Intelligent Security Orchestration and Automated Incident Response (SOAR) Augmentation
- Personalized Cybersecurity for Zero-Trust and Identity-Centric Security Models
Challenges
- Complexity of Adaptive Threat Landscapes
- Ethical, Regulatory, and Trust-Related Dilemmas
- Integration Challenges and Operational Costs
Market Share Analysis
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
Application Outlook
Based on Application, the market is segmented into Threat Detection & Response, Vulnerability Management, and Other Application. The vulnerability management segment recorded 36% revenue share in the Agentic AI In Cybersecurity Market in 2024. Enterprises are increasingly focusing on proactive risk assessment and continuous scanning of IT assets to identify weaknesses before exploitation. Agentic AI enhances this process by prioritizing vulnerabilities based on severity, context, and potential business impact, allowing organizations to allocate resources more effectively.
Deployment Outlook
Based on Deployment, the market is segmented into Cloud, and On-premises. The on-premises segment gained 48% revenue share in the Agentic AI In Cybersecurity Market in 2024. This is largely supported by industries and governments with strict regulatory, compliance, and data sovereignty requirements. Sectors such as defense, banking, and critical infrastructure continue to prefer on-premises deployment to retain direct control over sensitive data and maintain customized security frameworks.Regional Outlook
Region-wise, the agentic AI In cybersecurity market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 37% revenue share in the agentic AI In cybersecurity market in 2024. North America and Europe are currently the top regions in the agentic AI cybersecurity market. This is because they have advanced digital infrastructure, a lot of people using cloud technologies, and strict rules. Businesses in North America, especially in the US and Canada, are some of the first to use autonomous security agents to fight rising cyberattacks. They get a lot of help from both private sector investments and government-backed cybersecurity programs. Europe is also advanced, with countries like the UK, Germany, and France making safe AI adoption a top priority by following strict data protection and cybersecurity laws like GDPR and NIS2. Both areas stress governance, openness, and compliance, which makes them great places for new ideas to grow while also making sure that people can trust and be held accountable for using agentic AI systems.Asia Pacific and LAMEA are becoming high-potential markets because of the rapid growth of digital technology, the rise of cyberthreats, and the government's growing focus on cybersecurity. Countries like China, Japan, South Korea, and India are putting a lot of money into AI-based security solutions in the Asia Pacific region. This is because cloud adoption and big digital ecosystems are making a lot of people want autonomous threat detection and response. In LAMEA, on the other hand, places like Brazil, the UAE, Saudi Arabia, and South Africa are seeing faster adoption as companies upgrade their cybersecurity systems to protect important assets and keep up with changing rules. Both regions are still in the early stages compared to North America and Europe, but they are expected to see a lot of growth as businesses use agentic AI to fill skill gaps and make themselves more resistant to attacks that are getting more sophisticated.
Market Competition and Attributes
Competition in the agentic-AI cybersecurity market is fragmented and innovation-driven. Startups and specialist vendors focus on niche automation, threat-hunting, and autonomous response, differentiating via data partnerships, model robustness, and explainability. Buyers face varied maturity and integration challenges, creating opportunity for consolidation, strategic alliances, and rapid feature differentiation as firms race to prove reliability and true operational efficacy.
Recent Strategies Deployed in the Market
- Aug-2025: Palo Alto Networks, Inc. acquired CyberArk, aiming to strengthen cybersecurity in the era of agentic AI. The deal focuses on securing both human and non-human identities while enhancing identity protection, privileged access management, and defense against evolving AI-driven threats across enterprise environments globally.
- Aug-2025: SentinelOne, Inc. acquired Prompt Security, a software company to enhance GenAI and agentic AI security. The move integrates real-time AI visibility, automated threat prevention, and policy-based controls across enterprise AI tools. This strengthens SentinelOne’s Singularity Platform, enabling safe, scalable adoption of AI agents while protecting against data leakage, prompt injection, and misuse.
- Jul-2025: Palo Alto Networks, Inc. teamed up with Okta, a cloud-based identity and access management (IAM) platform to deliver unified AI-driven security. By integrating Okta Workforce Identity, Identity Threat Protection with Okta AI, and Palo Alto’s Cortex platform, the collaboration enhances conditional access, automates threat responses, secures app access on any device, and provides unified protection against advanced identity-related cyberattacks.
- Jul-2025: Microsoft Corporation teamed up with Accenture, an IT company to build generative AI cybersecurity tools, merging Accenture’s expertise with Microsoft’s security technologies. The collaboration targets SOC modernization, AI-driven data protection, security-centric migration, and identity management. Early success with Nationwide Building Society highlights improved threat detection, reduced costs, and enhanced resilience, showcasing future-ready cybersecurity innovation.
- Jul-2025: Darktrace Holdings Limited acquired Mira Security, a U.S.-based startup specializing in encrypted network traffic visibility. The deal enhances Darktrace’s AI-driven cybersecurity platform by integrating Mira’s in-line decryption and traffic inspection capabilities, strengthening protection across on-premises, cloud, and hybrid environments while advancing next-generation networking innovations through Mira’s technical expertise and standards-body experience.
List of Key Companies Profiled
- CrowdStrike Holdings, Inc.
- Palo Alto Networks, Inc.
- Microsoft Corporation
- IBM Corporation
- Darktrace Holdings Limited
- Google LLC
- Anthropic PBC
- Salesforce, Inc.
- NVIDIA Corporation
- SentinelOne, Inc.
Market Report Segmentation
By Component
- Solution
- Services
By Application
- Threat Detection & Response
- Vulnerability Management
- Other Application
By Deployment
- Cloud
- On-premises
By End Use
- IT & Telecom
- BFSI
- Government & Defense
- Healthcare
- Retail & E-commerce
- Other End Use
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 10. Competition Analysis - Global
Chapter 11. Global Agentic AI In Cybersecurity Market by Component
Chapter 12. Global Agentic AI In Cybersecurity Market by Application
Chapter 13. Global Agentic AI In Cybersecurity Market by Deployment
Chapter 14. Global Agentic AI In Cybersecurity Market by End Use
Chapter 15. Global Agentic AI In Cybersecurity Market by Region
Chapter 16. Company Profiles
Companies Mentioned
- CrowdStrike Holdings, Inc.
- Palo Alto Networks, Inc.
- Microsoft Corporation
- IBM Corporation
- Darktrace Holdings Limited
- Google LLC
- Anthropic PBC
- Salesforce, Inc.
- NVIDIA Corporation
- SentinelOne, Inc.
