AI-Driven Threat Intelligence Market Report 2025

This AI-Driven Threat Intelligence Market report delivers an in-depth analysis of the market’s key characteristics, including size, growth potential, and segmentation. It provides a detailed breakdown of the market across major regions and leading countries, highlighting historical data and future growth projections. The report also examines the competitive landscape, market share insights, emerging trends, and strategic developments shaping the market.

The AI-driven threat intelligence market size has grown exponentially in recent years. It will grow from $6.31 billion in 2024 to $7.87 billion in 2025 at a compound annual growth rate (CAGR) of 24.7%. The growth in the historic period can be attributed to the increasing demand for real-time threat detection, the expansion of AI-driven cybersecurity solutions, the rise of AI-powered threat intelligence startups, the growing availability of big data for threat intelligence, and the increasing adoption of predictive analytics.

The AI-driven threat intelligence market size is expected to see exponential growth in the next few years. It will grow to $18.82 billion in 2029 at a compound annual growth rate (CAGR) of 24.4%. The growth in the forecast period can be attributed to the rising number of cyber threats, the increasing reliance on digital technologies and infrastructure, greater government investments in cybersecurity, and the growing adoption of cloud computing. Key trends during this period include technological advancements, AI-powered predictive analytics, real-time threat detection, automated patch management, and the integration of edge computing.

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. Factors contributing to the rise in cyberattacks include increased digital transformation, evolving cybercriminal tactics, and insufficient security measures. AI-driven threat intelligence enhances cybersecurity by analyzing large datasets to detect patterns, predict potential attacks, and enable rapid threat identification and response. It improves detection accuracy and reduces response times. For instance, in February 2023, the Australian Cyber Security Centre reported receiving 76,000 cybercrime reports in 2022, marking a 13% increase from the previous year. Therefore, the growing frequency and complexity of cyber threats are expected to propel 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 players 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, and Silobreaker AB.

North America was the largest region in the AI-driven threat intelligence market in 2024. The regions covered in AI-driven threat intelligence report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the AI-driven threat intelligence market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

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 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.

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 revenue’s enterprises gain from selling goods and/or services within the specified market and geography through sales, subscriptions, or contracts in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are based on consumption values and include revenues generated by organizations within the market, regardless of where the solutions are produced. It excludes revenues from resales further along the supply chain or as part of other bundled products.

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