The global AI cybersecurity market is projected to expand from $31.25 billion in 2026 to $95.25 billion by 2031, reflecting a 25% CAGR, according to MarketsandMarkets. The growth comes as enterprises contend with AI-enhanced attacks while deploying machine learning, behavioral analytics and increasingly autonomous security systems to detect and respond to threats at machine speed.
Artificial intelligence is becoming a tool for both sides of the cybersecurity equation. As enterprises deploy AI to identify anomalous behavior and automate security operations, attackers are also using AI to accelerate reconnaissance, vulnerability discovery, phishing and malware development.
That arms race is helping drive rapid growth in the market for AI-powered cybersecurity technologies.
According to MarketsandMarkets, the AI cybersecurity market is expected to grow from $31.25 billion in 2026 to $95.25 billion by 2031, representing a 25% compound annual growth rate. The market was valued at $22.07 billion in 2025, according to the research firm.
The expansion reflects a shift from AI as an analytics enhancement toward AI becoming part of the operational layer of security teams.
Agentic security changes the SOC
One of the most significant developments is the emergence of agentic security operations.
Security teams are increasingly exploring AI agents capable of analyzing alerts, investigating suspicious activity, hunting for threats and initiating response workflows with limited analyst intervention.
That is particularly relevant as security operations centers deal with growing volumes of telemetry from endpoints, identities, cloud infrastructure, networks and applications.
Human analysts cannot manually investigate every signal. AI systems can instead establish behavioral baselines, correlate events across datasets and prioritize anomalies that warrant further investigation.
MarketsandMarkets expects security automation and orchestration to be the fastest-growing application segment, with a projected CAGR of 36.1% through 2031.
The development points toward a broader change in security architecture: organizations are moving from tools that simply surface alerts toward platforms that can interpret those alerts and participate in the response process.
Threat detection remains the largest application
Despite the rise of autonomous security operations, threat detection and anomaly detection is expected to retain the largest share of the AI cybersecurity market during the forecast period.
The reason is straightforward. Modern enterprises generate enormous amounts of security telemetry, making it increasingly difficult for conventional signature-based approaches to identify every suspicious event.
Machine learning and behavioral analytics can help security platforms identify deviations from expected activity, correlate apparently unrelated signals and detect previously unknown patterns.
Microsoft and Cisco have both highlighted AI-driven approaches to behavioral and anomaly detection as part of broader cybersecurity strategies.
The technology is increasingly being applied across cloud workloads, applications, endpoints, identities and networks, creating demand for security platforms that can process and interpret large datasets in real time.
OT and IoT security emerge as high-growth areas
MarketsandMarkets projects OT/IoT and cyber-physical security to record the highest CAGR among security functions, at 34.2%.
The growth reflects the expanding attack surface created by connected industrial equipment, operational technology and cyber-physical systems.
Unlike conventional enterprise endpoints, industrial systems can have long operating lifecycles and stringent availability requirements. An incident can potentially affect physical processes rather than simply compromise data.
AI-based monitoring can provide an additional layer for identifying unusual device behavior, communication patterns and operational anomalies.
As industrial organizations connect more equipment to enterprise and cloud environments, the intersection between AI infrastructure, IoT and cybersecurity is becoming increasingly important.
SMEs are becoming a major AI security market
Small and medium-sized enterprises are expected to record the fastest growth by organization size, with a projected CAGR of 29.3%.
SMEs face a difficult cybersecurity equation. They are increasingly exposed to sophisticated attacks but often lack the security personnel and specialized expertise available to large enterprises.
The World Economic Forum has reported that 46% of smaller organizations identify insufficient cybersecurity skills as a challenge, compared with 29% of large organizations.
Cloud-based AI security platforms and managed security services can narrow that capability gap by automating functions such as alert triage, anomaly detection and response.
This could make AI cybersecurity increasingly accessible beyond large enterprises with dedicated security operations centers.
North America leads the market
North America is expected to maintain the largest regional share, accounting for 41.7% of the AI cybersecurity market in 2026.
The region combines major cybersecurity vendors, hyperscale cloud providers, substantial enterprise technology spending and significant government investment in cyber defense.
The U.S. market also includes major AI and cybersecurity players such as Microsoft, Google, Palo Alto Networks, CrowdStrike, Cisco and Fortinet.
The competitive landscape is increasingly defined by the integration of AI into existing cybersecurity platforms rather than standalone AI tools. Vendors are adding machine learning, generative AI and agentic capabilities to security information and event management, endpoint protection, cloud security, identity protection and security operations.
Funding and consolidation accelerate
Investment activity reflects the same transition.
Cyera raised $400 million in Series F funding in January 2026, while Torq secured $140 million in Series D funding during the same month. Dropzone AI raised $37 million in Series B funding in July 2025, and ReliaQuest raised more than $500 million in March 2025.
Meanwhile, acquisitions are reshaping the market.
MarketsandMarkets identifies Palo Alto Networks’ acquisition of Console in September 2026, Google’s acquisition of Wiz in March 2026 and CrowdStrike’s acquisition of Onum in September 2025 as notable transactions.
Together, these moves point toward a market where AI is becoming embedded across the cybersecurity stack—from threat detection and security data management to autonomous investigation and response.
The result is a cybersecurity market increasingly built around AI agents, automation and machine-speed defense. As attackers adopt the same technologies to accelerate attacks, the ability to detect, investigate and respond at comparable speed could become a core requirement for enterprise security infrastructure.
Market Landscape
The AI cybersecurity market is moving from AI-assisted analytics toward AI-native and agentic security operations. Large cybersecurity platforms are integrating machine learning, generative AI and autonomous agents into detection, investigation, threat intelligence and response.
MarketsandMarkets estimates the market will reach $95.25 billion by 2031. Security automation, OT/IoT protection and SME adoption are among the fastest-growing areas, while North America remains the largest regional market.
Major vendors including Microsoft, Palo Alto Networks, CrowdStrike, Cisco, Fortinet, Google, IBM and specialized AI-native cybersecurity companies are competing to control the security data and automation layer.
Top Insights
- AI cybersecurity spending is projected to reach $95.25 billion by 2031, growing at a 25% CAGR as enterprises respond to increasingly AI-enabled attacks.
- Security automation and orchestration is forecast to grow fastest, with MarketsandMarkets projecting a 36.1% CAGR through 2031.
- OT/IoT and cyber-physical security is another high-growth segment, projected to expand at a 34.2% CAGR.
- SMEs are expected to record the fastest organizational growth, as cloud-based AI security reduces dependence on large internal security teams.
- Market consolidation is accelerating, with acquisitions involving Google, Palo Alto Networks and CrowdStrike expanding AI-driven cybersecurity capabilities.
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