Table of Contents
New York, NY – February 24, 2025 – The Global Agentic AI in Cybersecurity Market is set to experience unprecedented growth, projected to expand from USD 738.2 million in 2024 to approximately USD 173.47 billion by 2034, at a remarkable CAGR of 39.70% during the forecast period.
This surge is driven by the increasing sophistication of cyber threats, prompting the widespread adoption of AI-driven cybersecurity solutions. Agentic AI, known for its autonomous decision-making and self-learning capabilities, is emerging as a transformative force in threat detection, prevention, and real-time response.

North America currently holds the dominant position in the market, capturing 32.8% of the total share and generating USD 242.1 million in revenue in 2024. The United States leads the regional market, contributing USD 217.9 million, and is expected to maintain its stronghold with a CAGR of 38.6% over the forecast period. The region’s dominance is attributed to the presence of advanced AI infrastructure, strong cybersecurity frameworks, and significant investments from government agencies and enterprises.
The adoption of Agentic AI in cybersecurity is accelerating across various industries, including financial services, healthcare, government, defense, and enterprise security. In the financial sector, AI-driven fraud detection and risk mitigation are becoming essential for safeguarding transactions and sensitive data.
In healthcare, AI enhances cybersecurity measures by protecting confidential patient information. Governments and defense organizations are increasingly relying on Agentic AI to bolster national cybersecurity defenses, while enterprises are leveraging AI-driven endpoint protection and real-time threat intelligence to fortify their digital infrastructure.
Key Takeaways
- Market Growth: Expected to expand from USD 738.2 million in 2024 to USD 173.47 billion by 2034, at a CAGR of 39.70%.
- Dominant Component: Solutions lead the market, accounting for 78.3% of total revenue.
- Deployment Mode: Cloud-based solutions dominate, holding a 62.7% market share.
- Primary Application: Threat Detection and Response is the top application, contributing 47.23% of the market.
- Leading Industry Vertical: IT & Telecom is the largest end-user, representing 21.74% of the market.
- Regional Leadership: North America leads with a 32.8% market share.
- U.S. Market: The United States remains dominant, valued at USD 217.9 million in 2024, with a CAGR of 38.6%.
🔴 𝐇𝐮𝐫𝐫𝐲 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐃𝐢𝐬𝐜𝐨𝐮𝐧𝐭 𝐅𝐨𝐫 𝐋𝐢𝐦𝐢𝐭𝐞𝐝 𝐏𝐞𝐫𝐢𝐨𝐝 𝐎𝐧𝐥𝐲 @ https://market.us/purchase-report/?report_id=139949
Analyst View
The Agentic AI in the Cybersecurity market is poised for rapid expansion, driven by increasing cyber threats and the growing need for autonomous, real-time threat detection and response. With a projected CAGR of 39.70%, the market is expected to grow significantly from USD 738.2 million in 2024 to USD 173.47 billion by 2034.
The market is primarily driven by AI-powered solutions, which make up the largest share, and the shift towards cloud-based deployments, which dominate the sector. The IT & Telecom industry leads as the primary end-user, reflecting the sector’s ongoing investment in cybersecurity. North America, particularly the U.S., remains the dominant region, with the U.S. market valued at USD 217.9 million in 2024.
However, challenges like high implementation costs and regulatory complexities must be addressed for broader adoption. As AI-driven cybersecurity solutions evolve, they are expected to revolutionize digital security across various sectors, enhancing resilience against increasingly sophisticated cyberattacks.
🔴 𝐃𝐢𝐫𝐞𝐜𝐭 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐒𝐚𝐦𝐩𝐥𝐞 𝐨𝐟 𝐭𝐡𝐢𝐬 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐑𝐞𝐩𝐨𝐫𝐭 @ https://market.us/report/agentic-ai-in-cybersecurity-market/free-sample/
Regional Analysis
North America leads the Agentic AI in Cybersecurity market, holding a dominant 32.8% market share in 2024, driven by significant investments in cybersecurity infrastructure and a strong AI and technology ecosystem.
The United States is the largest contributor, valued at USD 217.9 million in 2024, and is expected to maintain a CAGR of 38.6% through 2034. The region benefits from a high adoption rate of advanced AI technologies, stringent cybersecurity regulations, and substantial investments in both government and private sectors to combat rising cyber threats.
In Europe, the market is growing steadily, supported by increasing regulatory pressure on organizations to adopt robust cybersecurity measures and the rise of AI-driven solutions. Meanwhile, Asia-Pacific is emerging as a key growth region, with China, Japan, and India ramping up AI adoption and cybersecurity investments to address rising cybercrime. As digital transformation accelerates globally, other regions like Latin America and MEA are also witnessing gradual market expansion.
Key Segmentation
- By Component: The market is split between Solutions (AI-powered tools and platforms) and Services (consulting, integration, and support services).
- By Deployment Mode: Solutions are deployed either Cloud-Based, which dominates the market, or On-Premises, where organizations manage AI systems in-house.
- By Application: The primary use cases include Threat Detection and Response, focusing on identifying and neutralizing cyber threats in real-time, and Vulnerability Management, which involves identifying and addressing security weaknesses.
- By Industry Vertical: Key sectors utilizing Agentic AI include BFSI (banking, financial services, and insurance), IT & Telecom, Government, Healthcare, Retail, and others, with IT & Telecom being a major contributor. Each sector leverages AI for specific cybersecurity needs.
Key Player Analysis
- SentinelOne, Inc. A leader in autonomous cybersecurity, SentinelOne offers AI-driven solutions for real-time threat detection, prevention, and response across endpoints, servers, and cloud environments.
- CrowdStrike, Inc. Known for its cloud-native endpoint protection platform, CrowdStrike uses AI and machine learning to provide advanced threat detection, incident response, and proactive defense.
- Palo Alto Networks, Inc. A global leader in network security, Palo Alto Networks integrates AI into its firewalls and cloud security solutions, enhancing threat intelligence and automated defense.
- Fortinet, Inc. Fortinet combines AI and high-performance network security to protect against advanced threats, offering solutions across firewalls, VPNs, and secure networking.
- Trend Micro Incorporated Trend Micro provides AI-powered threat detection and response solutions, specializing in endpoint security, network defense, and cloud security.
- Vectra AI, Inc. Vectra focuses on AI-driven network threat detection, using machine learning to identify and respond to cyberattacks across on-premises and cloud environments.
- Zscaler, Inc. Zscaler’s cloud security platform uses AI for real-time threat analysis and secure access to applications, ensuring data privacy and preventing breaches.
- Armis, Inc. Armis specializes in AI-powered cybersecurity solutions for asset visibility and management, particularly for IoT and OT devices.
- Check Point Software Technologies Ltd. Check Point integrates AI into its threat prevention and cloud security solutions, protecting against cyberattacks in real time.
- Cisco Systems, Inc. Cisco offers AI-enhanced network security solutions, including threat detection, incident response, and cloud security through its advanced platform.
Recent Developments
- Advancements in Autonomous Threat Detection
AI solutions are becoming increasingly autonomous, capable of identifying and neutralizing cyber threats in real time without human intervention. - Integration with Cloud Security
AI-powered cybersecurity is being increasingly integrated into cloud platforms, providing enhanced protection for cloud-based data and applications. - AI-Driven Predictive Analytics
The use of predictive analytics powered by AI is growing, enabling early detection of vulnerabilities and potential threats before they occur. - Enhanced Protection for IoT Devices
AI technologies are evolving to address cybersecurity risks in the Internet of Things (IoT), offering real-time protection for connected devices. - Automated Response Capabilities
AI solutions are now capable of automating responses to cyberattacks, reducing response time, and limiting damage.
Conclusion
The Agentic AI in the Cybersecurity market is evolving rapidly, driven by technological advancements such as autonomous threat detection, cloud security integration, and predictive analytics.
These developments are enhancing the ability of organizations to proactively address cyber threats, particularly as the scope of digital threats expands.
AI’s role in automating responses and securing IoT devices is also becoming more significant, providing faster, more efficient cybersecurity solutions across industries.
➤ 𝐄𝐱𝐩𝐥𝐨𝐫𝐞 𝐎𝐭𝐡𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐓𝐨𝐩𝐢𝐜𝐬
- Network Forensics Market – https://market.us/report/network-forensics-market/
- Threat Intelligence Market – https://market.us/report/threat-intelligence-market/
Discuss your needs with our analyst
Please share your requirements with more details so our analyst can check if they can solve your problem(s)
