DELRAY BEACH, Fla., /PRNewswire/ — According to MarketsandMarkets™, 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.
Browse 500 market data Tables and 50 Figures spread through 400 Pages and in-depth TOC on “AI Cybersecurity Market – Global Forecast to 2031”
AI Cybersecurity Market Size & Forecast:
- Market Size Available for Years: 2022–2031
- 2025 Market Size: USD 22.07 billion
- 2026 Market Size: USD 31.25 billion
- 2031 Projected Market Size: USD 95.25 billion
- CAGR (2026–2031): 25.0%
AI Cybersecurity Market Trends & Insights:
- Agentic security operations are driving demand for AI cybersecurity as organizations adopt autonomous systems capable of performing alert analysis, threat investigation, and response.
- By security function, the OT/IoT & cyber-physical security segment is expected to record the highest CAGR, at 34.2%, during the forecast period.
- By application, the security automation & orchestration segment is expected to grow the fastest, with a CAGR of 36.1%.
- By organization size, SMEs are expected to grow at the fastest rate, with a CAGR of 29.3%.
- North America accounted for the highest share, at 41.7%, of the AI Cybersecurity Market in 2026.
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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.
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.
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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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Top Companies in AI Cybersecurity Market:
The Top Companies in AI Cybersecurity Market are Microsoft (US), Palo Alto Networks (US), CrowdStrike (US), Cisco (US), Fortinet (US), Proofpoint (US), Darktrace (UK), Check Point (Israel), Trend Micro (Japan), Google (US), Zscaler (US), IBM (US), SentinelOne (US), Sophos (UK), Trellix (US), Abnormal AI (US), Arctic Wolf (US), ReliaQuest (US), Exabeam (US), Vectra AI (US), Cyera (US), Varonis (US), Recorded Future (US), Armis (US), Torq (US), Huntress (US), Dropzone AI (US), Anvilogic (US), Silverfort (US), Sublime Security (US), and Horizon3.ai (US).
AI Cybersecurity Market – Investment & funding +Merger & Acquisition
Investment Funding Context
The AI Cybersecurity Market is attracting substantial investment as vendors expand AI-powered threat detection, security operations, autonomous investigation, and automated response capabilities. Cyera raised USD 400 million in Series F funding in January 2026, bringing total funding above USD 1.7 billion, to expand its AI-native data security platform globally. Torq secured USD 140 million in Series D funding in January 2026, reaching a USD 1.2 billion valuation, to scale its agentic AI security operations platform. Dropzone AI raised USD 37 million in Series B funding in July 2025 to accelerate development of autonomous AI SOC agents and expand its global presence. ReliaQuest raised more than USD 500 million in March 2025 at a USD 3.4 billion valuation to support innovation in agentic AI-driven cybersecurity automation and international expansion. Abnormal AI previously raised USD 250 million in Series D funding, supporting expansion of its AI-native cybersecurity platform.
Revenue Shift Context
The AI Cybersecurity Market is shifting from standalone AI-assisted tools toward integrated platforms embedding AI across threat detection, security analytics, investigation, threat intelligence, and automated response. Enterprise spending is increasing as organizations operationalize AI across security environments, driving demand for behavioral analytics, intelligent alert prioritization, autonomous investigation, and machine-speed response. Agentic AI is accelerating this transition by enabling multi-step threat hunting, triage, investigation, and remediation with limited analyst intervention. Vendors are monetizing AI through unified security platforms, AI-native SOC capabilities, managed security services, and autonomous agents, expanding revenue opportunities across enterprise cybersecurity. Recent developments from Arctic Wolf, ReliaQuest, Torq, and Dropzone AI reinforce this shift.
Mergers and Acquisitions
Mergers and acquisitions in the AI Cybersecurity Market are increasingly focused on strengthening AI-driven security operations, cloud security, security data management, autonomous detection and response, and agentic cybersecurity capabilities. Recent transactions involving Palo Alto Networks, Google, and CrowdStrike highlight growing consolidation as cybersecurity providers expand their portfolios to support AI-enabled, machine-speed threat detection, investigation, and response across enterprise environments.
AI CYBERSECURITY MARKET: MERGERS AND ACQUISITIONS, JANUARY 2024–SEPTEMBER 2026
|
Month & Year |
Deal Type |
Company 1 |
Company 2 |
Description |
|
September 2026 |
Acquisition |
Palo Alto Networks (US) |
Console (US) |
Palo Alto Networks acquired Console, an AI-native platform enabling agentic analysis and actions, to expand Cortex’s capabilities for automated investigation, alert prioritization, issue resolution, and machine-speed security operations. |
|
March 2026 |
Acquisition |
Google (US) |
Wiz (US) |
Google acquired Wiz to combine Google’s threat intelligence and AI-powered security operations with Wiz’s cloud security platform, enabling integrated threat prevention, detection, investigation, and response across cloud and hybrid environments. |
|
September 2025 |
Acquisition |
CrowdStrike (US) |
Onum (Spain) |
CrowdStrike acquired Onum to strengthen Falcon Next-Gen SIEM with real-time telemetry management, improving security data quality and availability for AI agents while accelerating autonomous detection, investigation, and response. |
Company Revenue Share Details
The AI Cybersecurity Market is highly competitive, with leading technology and cybersecurity providers offering broad portfolios across AI-driven threat detection, security analytics, endpoint and network protection, threat intelligence, security operations, automated investigation, and incident response. The competitive landscape is led by Microsoft, Palo Alto Networks, CrowdStrike, Cisco, and Fortinet, supported by their extensive cybersecurity platforms and growing integration of AI, machine learning, generative AI, and agentic capabilities across security operations. Proofpoint, Darktrace, Check Point, Trend Micro, and Google further strengthen the market through AI-powered email and endpoint security, threat detection, cloud security, threat intelligence, security analytics, and automated response. The remaining market comprises specialized cybersecurity vendors and emerging providers addressing focused requirements across autonomous security operations, AI-driven threat intelligence, behavioral analytics, identity protection, vulnerability management, and AI-powered detection and response. The competitive structure reflects the broadening adoption of AI across cybersecurity functions and the coexistence of large technology providers, established cybersecurity companies, and specialized AI-native vendors.
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