Threat Intelligence Market Size, Share, Growth, Trends, and Global Industry Analysis: By Component (Solutions and Services), By Deployment Mode (On-Premises and Cloud), By Application (SIEM, SOC Optimization, Risk Management, and Incident Response), By End User (BFSI, Healthcare, IT & Telecom, Government, Retail, and Energy & Utilities), and Region Forecast 2020-2031

Threat Intelligence Market size was valued at US$ 15,294.3 million in 2024 and is projected to reach US$ 21,954.7 million by 2031 at a CAGR of 5.3% from 2025-2031. The market involves collecting, analyzing, and sharing cyber threat information to help organizations detect, prevent, and manage security incidents. More complex and frequent cyberattacks are compelling the demand for advanced threat intelligence solutions in every industry. Organizations are consolidating threat data in greater numbers to predict potential weaknesses, spot anomalies, and thwart threats before they get off the ground. As digital change accelerates at an ever-increasing rate, ongoing risk watchfulness is crucial in protecting sensitive assets and maintaining adherence.

However, the market is not quite without its pits. Budgetary pressures, particularly for small and medium enterprises, can be a restriction to adoption. The unavailability of qualified cybersecurity professionals and the complexity of integrating threat intelligence into current systems are also significant impediments. Besides, differences in global regulatory regimes and data privacy issues could complicate information exchange among organizations. Regardless of those issues, the market grows as cyber resilience becomes a strategic requirement, and threat intelligence evolves into a mandatory layer of enterprise security.

Facts & Figures

• 75% of organizations use threat intelligence on an ongoing basis to monitor cyber threats
• 64% of security leaders believe AI lowers the cost of detecting and responding to breaches
• 51% of executives cite cyber threat detection as the primary use case for AI in threat intelligence

Key Developments

• In April 2025, IBM enhanced its QRadar Threat Intelligence suite with advanced correlation features and machine learning algorithms for faster incident detection. The update helps clients streamline alert triage and integrates easily with SOAR platforms.
• In March 2025, CrowdStrike launched a new industry-specific threat intelligence feed for the financial sector, offering deep analysis on attack campaigns targeting fintech, banking APIs, and payment infrastructures.
• In February 2025, Anomali introduced a predictive threat modeling tool that uses behavioral analytics to map out potential attacker paths before an actual breach occurs. This feature is now part of its ThreatStream platform.
• In January 2025, Palo Alto Networks announced the acquisition of a European threat intelligence startup to strengthen its global intelligence capabilities. The move aims to improve visibility into regional threats and enrich threat feed quality.

Threat Intelligence Market Segmentation

Based on the component

• Cloud/Solutions
• Services

Threat intelligence solutions are the cornerstone of proactive cyber defense programs by offering tools that collect, analyze, and report on actionable threat insights. Solutions exist in numerous formats ranging from self-contained platforms to APIs that integrate with current infrastructure such as firewalls, SIEM, or endpoint security. These solutions scan both internal activity and external sources like dark web communities, threat actor networks, and open-source information. Sophisticated threat intelligence tools today incorporate AI to identify behavioral patterns, set alert priorities, and identify zero-day exploits. Companies employ these insights to make smarter decisions, enhance their incident response processes, and safeguard key assets. As threats become more dynamic and cyberattacks more targeted, companies are emphasizing more value on adaptive, real-time threat intelligence tools that can change with their requirements and security maturity levels.

Based on the deployment mode

• On-Premise
• Cloud

Cloud-based threat intelligence platforms are picking up steam with their ease of integration, scalability, and availability. Cyberattacks are becoming sophisticated in form, and companies require timely data within distributed environments. Cloud-based deployment enables security teams to obtain timely threat feeds, push updates at a moment's notice, and scale analytics dynamically without the burden of heavy infrastructure expenses. These solutions are particularly beneficial for mid-sized companies that need flexibility. Besides, cloud-native threat intelligence will probably be packaged with extended detection and response (XDR) or managed services that offer end-to-end security. With the enduring nature of remote work and hybrid IT environments, the move towards cloud-based platforms is bound to gather further steam, especially in rapidly emerging digital economies.

Based on the application

• Security Information and Event Management (SIEM)
• Security Operations Center (SOC) Optimization
• Risk Management
• Incident Response

SIEM systems are more and more integrated with threat feeds for intelligence to offer context-aware, real-time alerts that assist in the identification of sophisticated cyber threats. SIEM systems scan vast amounts of security logs from networks, correlating them with external indicators of threats to identify patterns or anomalies. SIEM tools, by incorporating threat intelligence, make it possible not only to identify known threats earlier but also to anticipate the upcoming tactics. This unification enables improved alert prioritization, minimizing false positives and incident response time. Organizations are dependent upon SIEM with threat intelligence to enhance compliance reporting, forensic analysis, and overall risk management. With increasingly complex security environments, the need for intelligence-enhanced SIEM solutions grows even stronger—particularly among financial institutions, government agencies, and larger enterprises seeking to modernize their defense stance.

Based on the end user

• BFSI
• Healthcare
• IT & Telecom
• Government
• Retail
• Energy & Utilities

The BFSI sector is among the highest-priority targets for cybercriminals because of the high amount of sensitive financial information. Threat intelligence is a key component in safeguarding digital banking services, ATM networks, and online transactions. Banks and insurers depend on hand-curated intelligence feeds to identify phishing attacks, credential stuffing, and ransomware. Requirements from regulatory bodies regarding data protection and fraud management further emphasize the importance of real-time threat visibility. Several financial institutions have invested in SOCs specifically designed with advanced threat intelligence to determine potential threats before they become a problem. The industry also enjoys robust cross-institutional threat sharing, enhancing its overall defense posture. As fintech and mobile banking continue to develop, so will the need for specialized, finance-focused threat intelligence.