AI Cybersecurity Industry Size

The report "AI Cybersecurity Market by Security Function (Security Operations & Incident Response, OT/IoT & Cyber-Physical Security), Application (Threat Detection & Anomaly Detection, Security Automation & Orchestration), Vertical – Global Forecast to 2031", The AI cybersecurity market is projected to grow from USD 31.25 billion in 2026 to USD 95.25 billion by 2031 at a CAGR of 25.0% during the forecast period. This significant growth is driven by AI-powered cyber threats, as threat actors increasingly use AI to accelerate phishing, reconnaissance, vulnerability discovery, malware development, and intrusion activities. Microsoft reported in 2026 that attackers are embedding AI across the attack lifecycle, increasing the tempo, iteration, precision, and scale of cyberattacks. This evolving threat landscape is compelling organizations to adopt AI-driven detection, threat intelligence, and response technologies capable of identifying and countering machine-speed attacks.

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Based on application, the threat detection & anomaly detection segment is expected to hold the largest market share during the forecast period.

By application, the threat detection & anomaly detection segment is expected to hold the largest market share during the forecast period, driven by the growing volume, velocity, and complexity of security telemetry across endpoints, networks, identities, cloud workloads, and applications. AI enables organizations to establish behavioral baselines, identify deviations, correlate signals, and detect previously unknown threats beyond conventional signature-based methods. Increasing adoption of machine learning, behavioral analytics, and AI-powered detection is helping security teams identify suspicious activity earlier while reducing manual analysis and alert fatigue. Microsoft highlights the use of AI, high-quality telemetry, and behavior-based detection to identify risks earlier, while Cisco emphasizes AI-driven anomaly detection across large security datasets. These capabilities are strengthening demand for AI-enabled threat detection across enterprise cybersecurity environments.

By organization size, the SMEs segment is expected to register the highest CAGR during the forecast period.

The SMEs segment is expected to register the highest CAGR, driven by increasing cyber risks, limited in-house security expertise, and growing availability of affordable, cloud-based AI security solutions. Small organizations face greater cybersecurity capability gaps, with 46% reporting insufficient cybersecurity skills compared with 29% of large organizations, according to the World Economic Forum. AI-enabled security tools can help SMEs automate threat detection, anomaly identification, alert analysis, and response without requiring large security teams. The expansion of managed security services and AI-powered security platforms is further lowering technical and operational barriers, enabling SMEs to access capabilities previously associated with larger enterprises. As AI adoption becomes more accessible and cyber threats increasingly target smaller organizations, demand for AI-driven cybersecurity solutions among SMEs is expected to accelerate.

By region, North America is estimated to account for the largest market share during the forecast period.

North America is expected to account for the largest share of the AI cybersecurity market during the forecast period, supported by the presence of major cybersecurity vendors, hyperscale cloud providers, advanced digital infrastructure, and strong enterprise adoption of AI. The US is seeing increasing investment in AI-enabled cyber defense, with federal initiatives promoting access to AI-powered cybersecurity tools for government agencies, state and local authorities, and critical infrastructure operators. Organizations across BFSI, healthcare, government, technology, and critical infrastructure are increasingly applying AI to threat detection, vulnerability identification, security analytics, and automated response. NIST is also advancing guidance around AI-enabled cyber defense, while US cybersecurity agencies are applying AI to vulnerability discovery and defensive operations. Canada is similarly strengthening AI-enabled cyber resilience as organizations respond to increasingly sophisticated AI-enhanced threats. These developments, combined with sustained investments in cloud security, threat intelligence, automation, and AI innovation, are supporting North America's position as a major hub for AI-enabled cybersecurity adoption and commercialization.

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