AI-Driven Threat Intelligence Market Report 2026

The AI-driven threat intelligence market size has grown exponentially in recent years. It will grow from $7.84 billion in 2025 to $9.76 billion in 2026 at a compound annual growth rate (CAGR) of 24.5%. The growth in the historic period can be attributed to increase in cyberattacks, growth of digital transformation, limitations of manual security analysis, expansion of cloud infrastructure, early security analytics adoption.

The AI-driven threat intelligence market size is expected to see exponential growth in the next few years. It will grow to $23.06 billion in 2030 at a compound annual growth rate (CAGR) of 24%. The growth in the forecast period can be attributed to rising sophistication of cyber threats, expansion of remote work environments, increasing regulatory compliance needs, growth of iot attack surfaces, demand for automated security operations. Major trends in the forecast period include real time AI based threat detection, automated incident response systems, predictive cyber risk analytics, integration of AI with soc platforms, behavior based threat intelligence.

The increasing frequency and sophistication of cyberattacks are expected to drive the growth of the AI-driven threat intelligence market. Cyberattacks involve deliberate attempts by hackers to breach the security of computer systems, networks, or devices. The rise in both the number and complexity of these attacks can be linked to expanding digital transformation, the evolution of cybercriminal tactics, and insufficient security safeguards. AI-driven threat intelligence strengthens cybersecurity by analyzing large volumes of data to identify patterns and anticipate potential attacks, enabling quicker detection and response to emerging threats. It enhances threat detection accuracy and shortens response times. For example, in April 2025, the Federal Bureau of Investigation (FBI), a U.S.-based premier law enforcement agency, reported that cybercrime losses in the U.S. increased to US$ 16.6 billion in 2024, a 33% rise from approximately US$ 12.5 billion in 2023. Therefore, the rising frequency and sophistication of cyberattacks are expected to drive the growth of the AI-driven threat intelligence market.

Leading companies in the AI-driven threat intelligence market are developing advanced machine learning technologies to enhance threat detection and mitigation capabilities. Machine learning enables systems to improve and adapt based on data without requiring explicit programming. For instance, in May 2024, Trellix, a US-based cybersecurity company, introduced Trellix Wise, a suite of generative AI (GenAI) tools integrated with the Trellix XDR (extended detection and response) platform. This platform automates key security tasks, including threat detection, alert triage, and investigation, increasing the efficiency of security teams. Trellix Wise leverages AI-driven analytics to enhance threat prevention, detection, and response, providing real-time cybersecurity insights across on-premises and cloud environments. This solution helps organizations tackle complex security threats, such as zero-day attacks, ransomware, and supply chain vulnerabilities, while reducing operational costs and dependence on specialized expertise.

In December 2024, Mastercard, a US-based financial services company, acquired Recorded Future for an undisclosed amount. This acquisition aims to strengthen Mastercard’s cybersecurity capabilities by integrating Recorded Future’s AI-powered threat intelligence into its fraud prevention and real-time decision-making systems. Recorded Future, a US-based company specializing in AI-driven threat intelligence, provides critical insights to predict and mitigate cyber threats, reinforcing Mastercard’s commitment to cybersecurity.

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.

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. The countries covered in the AI-driven threat intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have affected the AI driven threat intelligence market by increasing the cost of imported servers, networking equipment, and specialized security hardware used for real time threat analysis. These higher infrastructure costs have impacted large scale deployments by enterprises and government agencies, particularly in regions reliant on cross border technology imports. On premise security deployments face greater cost pressure compared to cloud based models. Tariffs have also influenced vendor selection and slowed some infrastructure upgrades. At the same time, they have encouraged cloud security adoption, regional data center expansion, and increased focus on software centric threat intelligence solutions, supporting long term cybersecurity modernization.

The AI-driven threat intelligence market research report is one of a series of new reports that provides AI-driven threat intelligence market statistics, including AI-driven threat intelligence industry global market size, regional shares, competitors with a AI-driven threat intelligence market share, detailed AI-driven threat intelligence market segments, market trends and opportunities, and any further data you may need to thrive in the AI-driven threat intelligence industry. This AI-driven threat intelligence market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

AI-driven threat intelligence involves leveraging artificial intelligence (AI) and machine learning to collect, analyze, and interpret data for detecting potential cybersecurity threats and vulnerabilities. It enables real-time threat identification and analysis by processing vast amounts of data, allowing organizations to predict vulnerabilities, automate threat detection, enhance incident response, and strengthen overall security measures.

The key components of AI-driven threat intelligence include solutions and services. Solutions refer to the core software and tools that utilize AI algorithms to identify, analyze, and mitigate cybersecurity threats. These solutions can be deployed via cloud or on-premise models and cater to both large enterprises and small and medium-sized enterprises (SMEs). Applications include threat detection, risk management, security operations, incident response, and other security functions. The industry verticals benefiting from AI-driven threat intelligence include banking, financial services, and insurance (BFSI), government and defense, information technology and telecom, healthcare and life sciences, retail and e-commerce, energy and utilities, manufacturing, and other sectors.

The AI-driven threat intelligence market consists of revenues earned by entities providing services such as AI model threat detection, monitoring, and threat hunting. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven threat intelligence market also includes sales of threat intelligence platforms, network traffic analysis tools, and vulnerability management tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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