Global Threat Intelligence Market Size, Share, and Trends Analysis Report – Industry Overview and Forecast to 2032

Threat Intelligence Market Analysis

The threat intelligence market is rapidly evolving, driven by the increasing frequency and sophistication of cyberattacks across industries. It encompasses the collection, analysis, and sharing of information regarding potential or ongoing security threats, enabling organizations to proactively mitigate risks. Advancements in AI, machine learning, and automation are significantly enhancing the market, allowing for faster identification of threats and more effective responses. These technologies enable the real-time analysis of vast amounts of data, helping businesses detect complex cyber threats, such as zero-day attacks, advanced persistent threats (APTs), and ransomware. The market also benefits from the growing adoption of cloud-based security solutions, which offer scalability and flexibility for organizations of all sizes. The rise in regulatory requirements, such as GDPR and CCPA, further fuels demand for comprehensive threat intelligence solutions. With industries such as banking, financial services, and healthcare being prime targets for cybercriminals, the market is expected to continue growing, with both large enterprises and SMEs increasingly investing in advanced threat intelligence tools to bolster their cybersecurity infrastructure and ensure data protection.

Threat Intelligence Market Size

The global threat intelligence market size was valued at USD 14.29 billion in 2024 and is projected to reach USD 26.31 billion by 2032, with a CAGR of 7.92% during the forecast period of 2025 to 2032. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.

Threat Intelligence Market Trends

“Growing Integration of Artificial Intelligence (AI) and Machine Learning (ML)”

One prominent trend in the threat intelligence market is the growing integration of artificial intelligence (AI) and machine learning (ML) to enhance cybersecurity measures. AI-driven tools are now being used to process massive amounts of data in real time, enabling businesses to detect and mitigate advanced threats such as ransomware and zero-day attacks more effectively. For instance, companies such as CrowdStrike and Darktrace are leveraging AI algorithms to identify unusual behavior patterns and predict potential cyber threats before they cause damage. This trend is particularly relevant in industries such as finance and healthcare, where the protection of sensitive data is critical. The ability of AI-powered threat intelligence solutions to autonomously respond to emerging threats is driving the adoption of these technologies. As the threat landscape continues to evolve, this trend of integrating AI and ML into threat intelligence systems is expected to play a crucial role in improving cyber defense strategies for organizations worldwide.

Report Scope and Threat Intelligence Market Segmentation

Threat Intelligence Market Definition

Threat intelligence refers to the collection, analysis, and sharing of data related to potential or ongoing cyber threats. It involves gathering information about various types of threats, such as malware, ransomware, phishing, and advanced persistent threats (APTs), and analyzing this data to understand the tactics, techniques, and procedures (TTPs) used by cybercriminals.

Threat Intelligence Market Dynamics

Drivers

• Increasing Digital Transformation

As businesses continue to undergo digital transformation, they increasingly adopt connected technologies such as cloud computing, IoT devices, and AI-driven platforms. This rapid evolution of technology is expanding the attack surface, as more devices and systems become interconnected, making it easier for cybercriminals to exploit vulnerabilities. For instance, in the manufacturing sector, the integration of smart factories and IoT devices has increased operational efficiency and exposed critical infrastructure to cyber threats. Attacks targeting industrial control systems have become more common, with the WannaCry ransomware attack in 2017 being one of the most prominent instances of how cyberattacks can disrupt entire sectors. As organizations embrace digital transformation, there is a heightened need for threat intelligence to proactively identify and mitigate risks, making it essential for securing digital assets and ensuring business continuity. This growing reliance on real-time threat intelligence to manage cybersecurity risks serves as a key driver for the threat intelligence market.

• Growing Demand in High-risk Industries

Sectors such as finance, healthcare, and government are prime targets for cybercriminals due to the sensitive data they manage and the high value of that data. For instance, in the financial sector, breaches such as the Equifax data breach in 2017, which exposed personal financial information of millions of people, demonstrate the critical need for robust cybersecurity measures. Similarly, healthcare organizations, which store sensitive patient data, are becoming frequent targets of ransomware attacks, with incidents such as the attack on Universal Health Services (UHS) in 2020 highlighting the vulnerabilities of these organizations. Moreover, government agencies often face cyber espionage and attacks on national security, as seen with APT28 targeting U.S. political organizations. The growing risk of data breaches, fraud, and disruption in these high-risk sectors is driving a stronger reliance on threat intelligence solutions. As these industries seek to protect sensitive data and comply with stringent regulations, the demand for advanced threat intelligence solutions is rising, making it a major driver for market growth.

Opportunities

• Expanding Regulatory Compliance Requirements

With the increasing number of cyber threats, governments and regulatory bodies worldwide have enforced stringent data protection laws such as the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the U.S., and the Network and Information Security Directive (NIS2) in the European Union. These regulations mandate organizations to enhance their cybersecurity frameworks, enforce stricter data protection measures, and report breaches promptly. For instance, under GDPR, companies face fines of up to €20 million or 4% of their global turnover for non-compliance, making threat intelligence solutions essential to ensure regulatory adherence. This has created a significant market opportunity for cybersecurity firms offering compliance-driven threat intelligence solutions, helping organizations proactively monitor threats, detect data breaches, and ensure compliance with evolving regulations.

• Increasing Adoption of AI and Machine Learning in Threat Detection

The integration of Artificial Intelligence (AI) and Machine Learning (ML) in cybersecurity has revolutionized threat intelligence by enabling real-time threat detection, automated analysis, and predictive intelligence. Traditional security tools often rely on predefined rules and human intervention, making them less effective against evolving cyber threats. AI-powered threat intelligence platforms, however, continuously analyze vast amounts of security data, detect anomalies, and predict potential threats before they materialize. For instance, Darktrace, a cybersecurity company, uses AI-driven behavioral analytics to identify suspicious activities within a network and prevent cyberattacks in real time. The increasing reliance on AI-based security tools presents a lucrative opportunity for companies developing intelligent threat detection solutions.

Restraints/Challenges

• Data Overload and Complexity

The growing volume of data generated by cybersecurity threats poses a significant challenge in the Threat Intelligence Market. Organizations are faced with an overwhelming amount of information from various sources such as network logs, intrusion detection systems, and security events. Filtering and analyzing this data to identify relevant threats is a complex and time-consuming process that requires specialized tools and expertise. For instance, a global financial institution might receive millions of alerts daily, many of which are not directly related to potential breaches. Sorting through this massive data influx to find actionable insights requires advanced machine learning algorithms or AI-powered platforms, which can be expensive to implement. Without the right tools, businesses can miss critical security events, leaving them vulnerable to sophisticated attacks. This data overload makes it difficult for organizations to respond in real-time and increases the likelihood of false positives or ignored threats, creating a significant challenge in leveraging threat intelligence effectively.

• Lack of Skilled Personnel

A major challenge in the threat intelligence market is the shortage of skilled cybersecurity professionals capable of analyzing and interpreting threat intelligence data. The gap in expertise can hinder an organization’s ability to fully leverage threat intelligence solutions. Cybersecurity professionals are essential for understanding the nuances of emerging threats, adapting defense strategies, and taking proactive measures based on intelligence data. However, the demand for qualified professionals far exceeds the supply, leading to increased competition for talent and higher salary expectations. For instance, a mid-sized company may struggle to fill critical cybersecurity roles, leading to an overreliance on automated systems or outsourced services that may lack the contextual understanding required to respond effectively. This shortage limits the adoption and effectiveness of threat intelligence platforms, especially for smaller organizations with fewer resources. As a result, businesses may fail to capitalize on the full potential of their threat intelligence investments, exposing them to heightened risk and vulnerability.

Beyond legal compliance, organizations must also securely store and process voice data, which is a significant market challenge. Voice recordings often contain personally identifiable information (PII), sensitive health data, or financial details, making them prime targets for cyberattacks. The risk of data breaches discourages businesses from fully adopting Threat Intelligence solutions. For instance, a major telecom provider faced a data leak in which thousands of customer support call recordings were exposed due to improper encryption. Ensuring end-to-end security, encryption, and access control is costly and adds technical complexity to implementation, limiting market growth.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Threat Intelligence Market Scope

The market is segmented on the basis of type, deployment mode, organization size, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type

• Solutions
• Services

Deployment Mode

• On-Premise
• Cloud

Organization Size

• Large Enterprises
• SMEs

End User

• Banking, Financial Services, and Insurance (BFSI)
• IT and Telecom
• Retail
• Manufacturing
• Healthcare
• Others

Threat Intelligence Market Regional Analysis

The market is analyzed and market size insights and trends are provided by country, type, deployment mode, organization size, and end user. The growth amongst these segments will help you analyse meagre growth segments in the industries, and provide the users as referenced above.

The countries covered in the market report are U.S., Canada, Mexico in North America, Germany, Sweden, Poland, Denmark, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Rest of South America as a part of South America, U.A.E, Saudi Arabia, Oman, Qatar, Kuwait, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America is the dominating region in the threat intelligence market and is expected to maintain its dominance throughout the forecast period. This growth is driven by the availability of robust infrastructure and the strong presence of numerous global financial institutions. In addition, the increasing adoption of IoT devices and the growing focus on cybersecurity by businesses are fueling demand for advanced threat intelligence solutions. As companies seek to protect their digital assets, the region’s technological advancements further reinforce its position in the market.

Asia-Pacific is set to experience the fastest growth rate in the threat intelligence market from 2025 to 2032. This growth is driven by the region's widespread adoption of threat intelligence solutions across various industries. As businesses increasingly recognize the importance of cybersecurity, demand for these solutions is expanding rapidly, particularly in sectors such as IT, banking, and manufacturing. In addition, the region's growing digital transformation and government initiatives to enhance cybersecurity are further accelerating the adoption of advanced threat intelligence technologies.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Threat Intelligence Market Share

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

Threat Intelligence Market Leaders Operating in the Market Are:

• IBM (U.S.)
• Cisco Systems, Inc. (U.S.)
• Trend Micro Incorporated (Japan)
• McAfee, LLC (U.S.)
• Musarubra US LLC (U.S.)
• Forcepoint (U.S.)
• Fortinet, Inc. (U.S.)
• Broadcom (U.S.)
• AT&T Intellectual Property (U.S.)
• Check Point Software Technologies Ltd. (Israel)
• Mimecast Services Limited (U.K.)
• DXC Technology Company (U.S.)
• Infosys Limited (India)
• Verizon (U.S.)
• SecureWorks, Inc. (U.S.)
• Proofpoint, Inc. (U.S.)
• CrowdStrike (U.S.)
• Webroot Inc. (U.S.)
• Infoblox (U.S.)
• Anomali (U.S.)

Latest Developments in Threat Intelligence Market

• In April 2024, Broadcom Inc. expanded its partnership with Google Cloud to enhance its VMware workloads specifically for the platform. This expanded collaboration includes joint marketing efforts, the addition of Broadcom’s solutions to the Google Cloud Marketplace, and the integration of Google Cloud’s advanced generative AI technologies. The migration of Broadcom’s VMware workloads to Google Cloud aims to leverage Google’s core platform functionalities and Vertex AI, ultimately improving the customer experience
• In March 2024, Check Point Software Technologies Ltd. announced a partnership with Microsoft to enhance their Check Point Infinity AI Copilot using the Microsoft Azure OpenAI Service. This collaboration aims to broaden the application of AI in cybersecurity. Infinity AI Copilot, a generative AI tool, utilizes automation to improve security management by up to 90%, accelerating incident resolution and enhancing security performance
• In December 2023, IBM Consulting and Palo Alto Networks announced the expansion of their strategic partnership to better support clients in strengthening their end-to-end security posture and adapting to evolving security threats. Palo Alto Networks, a global leader in cybersecurity, will include IBM Consulting as one of its premier security services partners to further improve comprehensive security solutions
• In October 2023, IBM launched enhanced Managed Detection and Response services with AI capabilities, automating up to 85% of alerts for quicker security incident responses. These Threat Detection and Response Services (TDR) provide continuous monitoring, analysis, and automated remediation of security alerts across hybrid cloud environments, powered by IBM's advanced security services platform combined with AI and contextual threat intelligence
• In August 2023, CrowdStrike introduced CrowdStrike Counter Adversary Operations, marking another milestone in cybersecurity. The new initiative combines CrowdStrike Falcon Intelligence, CrowdStrike Falcon OverWatch managed threat hunting teams, and vast telemetry data from the AI-powered CrowdStrike Falcon platform to detect and disrupt adversaries, ultimately raising their cost of operations

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