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AI-Driven Threat Intelligence Market Revenue Outlook: What CAGR Lies Ahead Through 2030?
The AI-driven threat intelligence market has experienced substantial expansion in recent years. Its size is projected to grow from $7.84 billion in 2025 to $9.76 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 24.5%. Historically, this growth can be attributed to factors including an increase in cyberattacks, the progression of digital transformation, the limitations of manual security analysis, the expansion of cloud infrastructure, and the early adoption of security analytics.
The AI-driven threat intelligence market is projected to experience substantial expansion over the upcoming years. This market is predicted to reach $23.06 billion by 2030, showing a compound annual growth rate (CAGR) of 24.0%. This anticipated growth during the forecast period is fueled by factors such as the increasing complexity of cyber threats, the proliferation of remote work setups, stricter regulatory compliance demands, the expanding attack surfaces created by IoT devices, and the need for automated security solutions. Key trends expected within this period encompass real-time AI-powered threat detection, automated systems for incident response, predictive analytics for cyber risks, the integration of AI with Security Operations Center (SOC) platforms, and intelligence based on behavioral patterns.
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AI-Driven Threat Intelligence Market Expansion Drivers: What’s Shaping Future Growth?
The increasing occurrence and complexity of cyberattacks are anticipated to stimulate the expansion of the AI-driven threat intelligence market. Cyberattacks are defined as deliberate actions by malicious actors aimed at compromising the security of computer systems, networks, or devices. This escalation in frequency and sophistication stems from factors like widespread digital transformation, evolving methods employed by cybercriminals, and insufficient security protocols. AI-driven threat intelligence bolsters cybersecurity by scrutinizing vast datasets to identify patterns and forecast potential cyber threats, thereby facilitating quicker detection and response to new dangers. This technology enhances the precision of threat detection and shortens response periods. As an illustration, in April 2025, the Federal Bureau of Investigation (FBI), a leading US-based law enforcement agency, reported that cybercrime losses in the U.S. climbed to US$ 16.6 billion in 2024, representing a 33% increase from approximately US$ 12.5 billion in 2023. Consequently, the rising frequency and sophistication of cyberattacks are projected to drive the growth of the AI-driven threat intelligence market.
AI-Driven Threat Intelligence Market Segment Performance And Emerging Opportunities
The AI-driven threat intelligence market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment Mode: Cloud, On-Premise
3) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises (SMEs)
4) By Application: Threat Detection, Risk Management, Security Operations, Incident Response, Other Applications
5) By Industry Vertical: Banking, Financial Services, And Insurance, Government And Defense, Information Technology And Telecom, Healthcare And Lifesciences, Retail And E-commerce, Energy And Utilities, Manufacturing, Other Industry Verticals
Subsegments:
1) By Solution: Threat Detection and Prevention Solutions, Threat Intelligence Platforms, AI-Powered Security Analytics, Incident Response Solutions
2) By Services: Managed Threat Intelligence Services, Consulting Services, Incident Response Services, Threat Hunting Services
AI-Driven Threat Intelligence Market Strategic Trends: What Defines The Next Growth Phase?
Leading companies operating within the AI-driven threat intelligence market are focusing on creating advanced technologies, including machine learning, to enhance their capacity for threat identification. Machine learning enables systems to learn and improve through data without requiring explicit programming. For example, in May 2024, Trellix, a US-based cybersecurity company, launched Trellix Wise, an advanced set of generative artificial intelligence (GenAI) tools. These tools are integrated with the Trellix XDR (extended detection and response) platform to simplify cybersecurity operations. The platform automates essential tasks such as threat detection, alert prioritization, and investigation, thereby boosting the efficiency of security teams. By utilizing AI-powered analytics, Trellix Wise strengthens threat prevention, detection, and remediation capabilities. It offers comprehensive protection across both on-premises and cloud environments, providing real-time threat intelligence. This solution allows organizations to swiftly address complex security challenges like zero-day attacks, ransomware, and supply chain risks, while also reducing operational costs and the need for specialized expertise.
AI-Driven Threat Intelligence Market Key Players: Which Companies Lead Industry Competition?
Major companies operating in the AI-driven threat intelligence market are Google LLC, Broadcom Incorporated, NTT DATA Corporation, Juniper Networks Inc., Fortinet Inc., Check Point Software Technologies Ltd., Trellix Inc., CrowdStrike Holdings Inc., Kaspersky Lab, SentinelOne Inc., Zerofox Holdings Incorporated, McAfee Corp., OPSWAT Inc., Flashpoint Inc., Anomali Inc., SparkCognition Inc., Cyware Labs Inc., Cyble Inc., ThreatConnect Inc., Resecurity Inc., Trend Micro Incorporated, Silobreaker AB
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AI-Driven Threat Intelligence Market Regional Split: Which Areas Are Fueling Growth?
North America was the largest region in the AI-driven threat intelligence market in 2025. The regions covered in the AI-driven threat intelligence market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
