Global AI-Driven Threat Intelligence Market Size, Share & Trends Analysis Report By Deployment Mode (Cloud, and On-premise), By Component, By Organization Size, By Application, By Industry Vertical, By Regional Outlook and Forecast, 2024 - 2031

Global AI-Driven Threat Intelligence Market Size, Share & Trends Analysis Report By Deployment Mode (Cloud, and On-premise), By Component, By Organization Size, By Application, By Industry Vertical, By Regional Outlook and Forecast, 2024 - 2031

The Global AI-Driven Threat Intelligence Market size is expected to reach $22.2 billion by 2031, rising at a market growth of 23.3% CAGR during the forecast period.

AI-driven threat intelligence helps healthcare organizations monitor their systems in real-time, identify potential vulnerabilities, and respond quickly to emerging threats, making it a crucial investment in this sector. Thus, the healthcare & lifesciences segment recorded 12% revenue share in the market in 2023. The segment's growth is driven by the sector’s increasing reliance on digital systems for managing patient records, diagnostics, and medical devices. As a result of the growing number of data breaches as well as ransomware attacks, the healthcare industry has become a main target for hackers.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2024, IBM Corporation partnered with Palo Alto Networks, a global cybersecurity firm, to enhance cybersecurity with AI. Additionally, In June, 2024, Trend Micro announced a partnership with Nvidia, an American software company, to provide cybersecurity tools safeguarding private AI clouds, emphasizing data privacy, real-time analysis, and swift threat response.

Based on the Analysis presented in the KBV Cardinal matrix; Broadcom, Inc. and Cisco Systems Inc. are the forerunner in the Market. In September, 2023, Symantec, a division of Broadcom Inc., teamed up with Google Cloud, a cloud platform offered by Google, to integrate generative AI into its security platform, enhancing capabilities to detect and respond to cyber threats. Companies such as IBM Corporation, Dell Technologies, Inc. and Check Point Software Technologies Ltd. are some of the key innovators in AI-Driven AI-Driven Threat Intelligence Market.

Market Growth Factors

The ability of AI to learn from past incidents and improve its detection algorithms over time is another major driver of integrating big data and machine learning in threat intelligence. Unlike static security systems that must be manually updated to address new threats, machine learning models can evolve by learning from previous security events, such as breaches, phishing attempts, or malware infections. This continuous learning process enhances the accuracy and effectiveness of AI-driven systems in detecting future threats. Therefore, as more organizations adopt AI and big data analytics in their cybersecurity strategies, the market for AI-driven threat intelligence continues to grow rapidly.

Beyond detection, AI also automates the analysis and response to cyber threats. Once a threat is identified, AI can assess its impact and suggest or implement countermeasures, such as isolating infected devices or blocking communication with malicious actors. This automation decreases response times and enables security teams to focus on more intricate duties that necessitate human expertise. Thus, AI-driven automation in threat detection and response is becoming essential for organizations looking to strengthen their cybersecurity defenses.

Market Restraining Factors

The deployment of AI-driven threat intelligence solutions requires significant investment in infrastructure, software, and skilled personnel, which poses a major barrier to adoption, particularly for small and medium-sized enterprises (SMEs). These systems need advanced hardware and networking capabilities capable of effectively handling large datasets and real-time analysis. Due to the prohibitive costs of upgrading or sustaining this infrastructure, small and medium-sized enterprises (SMEs) may find it challenging to compete with larger organizations that possess the financial resources to invest in such technologies. However, the high implementation costs can prevent SMEs from adopting these advanced technologies which hampers the widespread growth of the market, as it remains largely inaccessible to organizations with limited financial resources.

Component Outlook

Based on component, the market is bifurcated into solution and services. The services segment procured 39% revenue share in the market in 2023. This segment comprises consulting, deployment, integration, and support services that assist organizations in effectively implementing and maintaining AI-driven threat intelligence systems. As AI technologies are complex and require specialized expertise for integration with existing security frameworks, many businesses, particularly those with legacy systems, rely on external service providers for deployment and ongoing management.

Solution Outlook

The solution segment is further divided into threat intelligence platforms, security information & event management (SIEM), security orchestration, automation, & response (SOAR), and others. The threat intelligence platforms segment acquired 30% revenue share in the market in 2023. The segment's growth reflects its crucial role in gathering, analyzing, and disseminating real-time information about potential cyber threats. These platforms are highly valued for their ability to aggregate data from various sources, identify emerging threats, and provide actionable insights to organizations, enabling them to stay ahead of cyberattacks.

Services Outlook

The services segment is further segmented into professional service, consulting, managed service, and others. The professional service segment witnessed 41% revenue share in the market in 2023. The growing demand for specialized expertise in deploying, integrating, and optimizing AI-driven threat intelligence solutions drives the segment. Professional services typically encompass a wide range of offerings, including system installation, training, and support, which are critical for organizations to maximize the effectiveness of their AI-driven cybersecurity tools.

Deployment Outlook

On the basis of deployment mode, the market is classified into cloud and on-premise. The cloud segment procured 67% revenue share in the market in 2023. Cloud-based AI-driven threat intelligence solutions offer significant advantages like scalability, flexibility, and lower upfront costs. These solutions enable organizations to quickly adapt to evolving cyber threats and easily manage and update their security systems without substantial infrastructure investments.

Application Outlook

By application, the market is divided into threat detection, risk management, security operations, incident response, and others. The risk management segment witnessed 26% revenue share in the market in 2023. AI-driven risk management tools help organizations assess and mitigate potential vulnerabilities, enabling them to prioritize security measures and allocate resources more effectively. These tools provide valuable insights into internal and external risks, allowing businesses to take preemptive action before threats materialize.

Industry Vertical Outlook

Based on industry vertical, the market is segmented into BFSI, government & defense, IT & telecom, healthcare & lifesciences, retail & eCommerce, energy & utilities, manufacturing, and others. The BFSI segment procured 24% revenue share in the market in 2023. This comes as no surprise, given the financial industry's vulnerability to cyberattacks due to the high volume of sensitive data and financial transactions it handles. With growing incidents of fraud, data breaches, and identity theft, the BFSI sector has become a primary target for cybercriminals, driving the demand for AI-driven threat intelligence to safeguard customer data and maintain regulatory compliance.

Organization Size Outlook

On the basis of organization size, the market is bifurcated into large enterprises and small & medium-sized enterprises (SMEs). The large enterprises segment garnered 59% revenue share in the market in 2023. Large organizations often manage vast amounts of data across extensive IT infrastructures, making them prime targets for sophisticated cyberattacks. Large enterprises are increasingly investing in AI-driven threat intelligence solutions that offer advanced threat detection, response automation, and risk management capabilities to counter these threats.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment acquired 39% revenue share in the market in 2023. Significant investments in AI and cybersecurity, a high level of awareness of cybersecurity threats, and an advanced technological infrastructure are all contributing to the regional market's growth. The United States, in particular, has been a leading adopter of AI-driven cybersecurity solutions, fueled by the rising number of cyberattacks targeting financial institutions, healthcare systems, and government agencies.

Recent Strategies Deployed in the Market

• May-2024: Trellix unveiled Trellix Wise, powered by Generative Artificial Intelligence (GenAI) within its XDR Platform. This aims at threat detection and response by automating alerts, integrating diverse data sources, and providing incident management and policy enforcement capabilities to optimize security operations.
• Apr-2024: Cisco Systems Inc. introduced Hypershield, its most substantial security innovation. This new software-based solution ensures the security of AI workloads spanning data centers and clouds, providing autonomous segmentation and upgrade functionalities, utilizing eBPF and AI to improve security and operational effectiveness.
• Apr-2024: LogRhythm teamed up with RedLegg, a leading provider of cybersecurity services, to enhance security capabilities. This partnership leverages LogRhythm's cloud-native SIEM platform, LogRhythm Axon, to deliver streamlined, effective security solutions.
• Mar-2024: LogRhythm announces the partnership with SOC Prime, a leading platform in collective cyber defense, merging LogRhythm Axon’s advanced analytics and threat management with SOC Prime’s technology. This partnership aimed to strengthen threat hunting and detection capabilities, equipping security teams to respond to threats swiftly and effectively through enhanced analytics, automation, and detection.
• Mar-2024: Cisco Systems Inc. took over Splunk Inc., boosting security and observability through a unified digital perspective. This merger ensures improved security, observability, networking, AI, and economic benefits, delivering transformative solutions for customers across diverse industries.

List of Key Companies Profiled

• Check Point Software Technologies Ltd.
• Trellix
• Broadcom, Inc. (Symantec Corporation)
• Juniper Networks, Inc.
• LogRhythm, Inc.
• McAfee Corp
• Trend Micro, Inc.
• IBM Corporation
• Cisco Systems Inc.
• ZeroFox Holdings, Inc.

Global AI-Driven Threat Intelligence Market Report Segmentation

By Deployment Mode

• Cloud
• On-premise

By Component

• Solution
• Threat Intelligence Platforms
• Security Information and Event Management (SIEM)
• Security Orchestration, Automation, and Response (SOAR)
• Other Solution Type
• Services
• Professional Service
• Consulting
• Managed Service
• Other Services Type

By Organization Size

• Large Enterprises
• Small & Medium-Sized Enterprises (SMEs)

By Application

• Threat Detection
• Risk Management
• Security Operations
• Incident Response
• Other Application

By Industry Vertical

• BFSI
• Government & Defense
• IT & Telecom
• Healthcare & Lifesciences
• Retail & eCommerce
• Energy & Utilities
• Manufacturing
• Other Industry Vertical

By Geography

• North America
• US
• Canada
• Mexico
• Rest of North America
• Europe
• Germany
• UK
• France
• Russia
• Spain
• Italy
• Rest of Europe
• Asia Pacific
• China
• Japan
• India
• South Korea
• Singapore
• Malaysia
• Rest of Asia Pacific
• LAMEA
• Brazil
• Argentina
• UAE
• Saudi Arabia
• South Africa
• Nigeria
• Rest of LAMEA