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AI-Driven Threat Intelligence Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The AI-driven threat intelligence market has experienced substantial growth in recent years. It is anticipated to expand from $7.84 billion in 2025 to $9.76 billion in 2026, achieving a compound annual growth rate (CAGR) of 24.5%. This historical growth can be linked to factors such as an increase in cyberattacks, the progression of digital transformation, the constraints of manual security analysis, the expansion of cloud infrastructure, and the early integration of security analytics.
The AI-driven threat intelligence market size is projected for substantial expansion over the upcoming years. This market is expected to reach $23.06 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.0%. This anticipated growth is fueled by factors such as the increasing sophistication of cyber threats, the broader adoption of remote work environments, a heightened need for regulatory compliance, the expanding attack surface presented by IoT, and the rising demand for automated security operations. Significant trends during the forecast period encompass real-time AI-based threat detection, automated incident response systems, predictive cyber risk analytics, the integration of AI with SOC platforms, and behavior-based threat intelligence.
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AI-Driven Threat Intelligence Market Industry Drivers: What Is Driving Revenue Growth?
The expanding volume and complexity of cyberattacks are anticipated to fuel the expansion of the AI-driven threat intelligence market. These attacks involve deliberate efforts by malicious actors to breach the safeguards of computer systems, networks, or connected devices. This surge in the recurrence and intricacy of cyberattacks stems from elements like accelerated digital adoption, the changing strategies of cybercriminals, and insufficient protective protocols. AI-powered threat intelligence bolsters cybersecurity capabilities by processing extensive datasets to identify trends and foresee potential cyber incidents, thus facilitating quicker detection and remediation of nascent dangers. This technology significantly boosts the precision of threat identification and cuts down on reaction periods. For example, the Federal Bureau of Investigation (FBI), a US-based premier law enforcement agency, reported in April 2025 that cybercrime losses in the U.S. climbed to US$ 16.6 billion in 2024, representing a 33% jump from around US$ 12.5 billion in 2023. Consequently, the escalating occurrence and complexity of cyberattacks are projected to drive the expansion of the AI-driven threat intelligence market.
AI-Driven Threat Intelligence Market Segment Analysis: What Are The Major Market Categories?
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 Growth Trends Influencing Competitive Dynamics
Leading firms within the AI-driven threat intelligence market are concentrating on creating sophisticated technologies, including machine learning, to improve their capacity for detecting threats. Machine learning allows systems to acquire knowledge and evolve through data, eliminating the requirement for direct programming. As an illustration, in May 2024, the US-based cybersecurity firm Trellix introduced Trellix Wise, a sophisticated collection of generative artificial intelligence (GenAI) tools built into the Trellix XDR (extended detection and response) platform, designed to optimize cybersecurity operations. This platform automates critical functions like threat detection, alert prioritization, and investigation, thereby increasing the productivity of security teams. Leveraging AI-driven analytics, Trellix Wise improves capabilities for threat prevention, detection, and remediation. It delivers extensive protection across both on-premises and cloud settings, supplying real-time threat intelligence. This solution empowers organizations to promptly address intricate security challenges such as zero-day attacks, ransomware, and supply chain vulnerabilities, all while decreasing operational expenses and the demand for specialized knowledge.
AI-Driven Threat Intelligence Market Leading Companies Driving Competitive Growth
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 Leading Geography: Which Region Generates The Most Revenue?
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.