The North America Agentic AI In Cybersecurity Market would witness market growth of 33.1% CAGR during the forecast period (2025-2032).
The US market dominated the North America Agentic AI In Cybersecurity Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of USD 59,652 million by 2032. The Canada market is experiencing a CAGR of 35.6% during (2025 - 2032). Additionally, The Mexico market would exhibit a CAGR of 35.5% during (2025 - 2032). The US and Canada led the North America Agentic AI In Cybersecurity Market by Country with a market share of 78.9% and 12.7% in 2024.
In North American cybersecurity, agentic AI refers to systems that can see, think, and act on their own with little help from humans. These systems can do things like threat triage, mitigation, and vulnerability remediation. The number of people using it has grown because cyber threats are getting more complicated, there aren't enough skilled workers, and people want quick responses. Early cybersecurity systems used signatures, but now agentic AI uses big models, cloud infrastructure, and orchestration frameworks to follow rules. Businesses use agentic AI carefully, usually starting with tasks that aren't too risky, and making sure that they follow the rules, can be audited, and can be explained. These systems are helping SOC analysts more and more by taking care of repetitive tasks so that people can focus on more complicated threats.
Multi-agent orchestration, integration with SIEM/XDR platforms, and strict governance, risk management, and compliance practices are some of the trends that are shaping the market. To handle liability and unintended consequences, vendors stress safe automation with guardrails, human-in-the-loop checkpoints, and clear auditing. Hyperscale cloud providers, traditional cybersecurity companies, and agile startups that focus on subdomains like explainability, agent identity, and adversarial robustness are all competing fiercely. Trust, safety, integration, and compliance with regulations are becoming more important than raw ability when it comes to differentiation. More and more, success depends on providing autonomous functionality while making sure that enterprise customers in regulated industries have oversight, risk mitigation, and transparency.
Based on End Use, the market is segmented into IT & Telecom, BFSI, Government & Defense, Healthcare, Retail & E-commerce, and Other End Use. Among various US Agentic AI In Cybersecurity Market by End Use; The IT & Telecom market achieved a market size of USD $1712.9 Million in 2024 and is expected to grow at a CAGR of 31 % during the forecast period. The Healthcare market is predicted to experience a CAGR of 33.5% throughout the forecast period from (2025 - 2032).
Based on Component, the market is segmented into Solution, and Services. The Solution market segment dominated the Mexico Agentic AI In Cybersecurity Market by Component is expected to grow at a CAGR of 35.1 % during the forecast period thereby continuing its dominance until 2032. Also, The Services market is anticipated to grow as a CAGR of 36.3 % during the forecast period during (2025 - 2032).
Free Valuable Insights: The Agentic AI In Cybersecurity Market is Predict to reach USD 227.74 Billion by 2032, at a CAGR of 34.0%
The US is quickly making progress in agentic AI for cybersecurity as businesses look for ways to automatically find, respond to, and contain threats in complicated cloud, IoT, and remote environments. Adoption is driven by a mature market, a lot of capital, and a lot of skilled AI workers. A fragmented regulatory environment encourages innovation but also requires careful governance, explainability, and auditability. Organizations use AI agents for SOC alert triage, threat hunting, and closed-loop remediation, usually with human oversight to protect privacy and legal issues. Big cloud companies and cybersecurity companies add self-driving agents to XDR, SOAR, and security copilot platforms. Startups, on the other hand, focus on specific areas like OT security and API protection. To keep up with changing federal and state rules, companies focus on adversarial testing, detailed logging, and rollback features. There is a lot of competition, and companies set themselves apart by their speed, accuracy, compliance, and industry-specific skills. This makes the U.S. market the best place to adopt safe and scalable agentic AI.
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