PUBLISHER: The Business Research Company | PRODUCT CODE: 1849604
PUBLISHER: The Business Research Company | PRODUCT CODE: 1849604
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.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.
The AI-driven threat intelligence market research report is one of a series of new reports from The Business Research Company 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 size has grown exponentially in recent years. It will grow from $6.31 billion in 2024 to $7.84 billion in 2025 at a compound annual growth rate (CAGR) of 24.2%. The growth in the historic period can be attributed to rise in demand for real-time threat detection, growth in AI-driven cybersecurity solutions, rise in the number of AI-powered threat intelligence startups, growth in the availability of big data for threat intelligence, and increasing use 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 $18.67 billion in 2029 at a compound annual growth rate (CAGR) of 24.2%. The growth in the forecast period can be attributed to increasing cyber threats, rising digital technologies increasing reliance on digital infrastructure, increasing government cybersecurity investments, and increasing adoption of cloud computing. Major trends in the forecast period include technological advancements, AI-powered predictive analytics, real-time threat detection, automated patch management, and edge computing.
The forecast of 24.2% growth over the next five years reflects a slight reduction of 0.2% from the previous projection. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by raising tariffs on AI cybersecurity analytics platforms, dependent on machine learning accelerators from Israel and Taiwan, weakening defense against cyberattacks. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.
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.
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.
AI-Driven Threat Intelligence Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on ai-driven threat intelligence market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for ai-driven threat intelligence ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai-driven threat intelligence market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.