Artificial Intelligence (AI) Vulnerability Scanning Market Report 2025

The artificial intelligence (AI) vulnerability scanning market size has grown rapidly in recent years. It will grow from $2.61 billion in 2024 to $3.07 billion in 2025 at a compound annual growth rate (CAGR) of 17.4%. The growth during the historic period can be attributed to the increasing adoption of cloud computing services, the rising volume of cyberattacks, the expansion of digital transformation initiatives, the growth in regulatory compliance requirements, and the growing demand for real-time threat detection solutions.

The artificial intelligence (AI) vulnerability scanning market size is expected to see rapid growth in the next few years. It will grow to $5.75 billion in 2029 at a compound annual growth rate (CAGR) of 17%. The projected growth during the forecast period can be attributed to the increasing focus on predictive analytics for vulnerability management, the rising demand for AI-driven security in autonomous systems, the growing reliance on AI to address cybersecurity skill shortages, increased investment in AI-based security research and development, and the expanding use of AI for proactive threat hunting. Key trends expected during this period include advancements in AI-powered autonomous vulnerability scanners, the integration of generative AI, progress in explainable AI, enhanced integration of AI scanners, and the development of lightweight AI scanning solutions.

The increasing number of cyber-attacks is expected to drive the growth of the artificial intelligence (AI) vulnerability scanning market. Cyber-attacks involve malicious attempts by individuals or groups to compromise, damage, or gain unauthorized access to computer systems, networks, or data, often with the goal of stealing information, disrupting operations, or causing harm. The rise in cyber-attacks is attributed to the growing sophistication of hacking techniques, as cybercriminals continuously develop advanced malware capable of bypassing traditional security defenses and exploiting system vulnerabilities more effectively. AI vulnerability scanning enhances cybersecurity by systematically identifying security weaknesses and detecting vulnerabilities before they can be exploited. For example, in February 2023, the Australian Cyber Security Centre reported that cybercrime incidents reached 76,000 in 2022, marking a 13% increase from the previous year. This growing threat landscape is fueling demand for AI-driven vulnerability scanning solutions.

Companies in the AI vulnerability scanning market are focusing on proactive security solutions designed to safeguard AI systems and large language models (LLMs) by detecting and mitigating vulnerabilities while preventing adversarial attacks. Proactive security solutions for AI and LLMs include advanced security protocols and automated defense mechanisms that identify, mitigate, and prevent vulnerabilities before they can be exploited. For instance, in September 2024, a US-based cybersecurity company introduced AI Aware, a pioneering security solution aimed at enhancing the protection of AI systems and large language models. AI Aware provides advanced detection of AI-related vulnerabilities, helping organizations mitigate risks such as data leakage and exploitation. The solution can identify both approved and unapproved AI software, libraries, and browser plugins within enterprise environments, addressing concerns about unauthorized AI usage - a challenge reported by over one-third of security teams.

In January 2025, WatchGuard Technologies, Inc., a US-based cybersecurity company specializing in security solutions for businesses and organizations, acquired ActZero Technologies Inc. for an undisclosed amount. This acquisition aims to strengthen WatchGuard’s AI-driven cybersecurity capabilities by integrating ActZero’s advanced managed detection and response (MDR) technology into its existing security solutions. ActZero Technologies Inc., a US-based company specializing in AI vulnerability scanning, brings expertise in detecting and responding to cyber threats, further enhancing WatchGuard’s security offerings.

Major players in the artificial intelligence(ai) vulnerability scanning market are International Business Machines Corporation, Cisco Systems Inc., Palo Alto Networks Inc., Synopsys Inc., Fortinet Inc., CrowdStrike Holdings Inc., QualiTest Group, Trend Micro Inc., OPTIV Inc., Rapid7 Inc., Tenable Inc., CyberArk Software Ltd., ESET LLC, Qualys Inc., Secureworks Inc., Darktrace Plc, SentinelOne Inc., McAfee Corp., Bitdefender SRL, Checkmarx Ltd.

North America was the largest region in the artificial intelligence vulnerability scanning market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in artificial intelligence (AI) vulnerability scanning report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa. The countries covered in the artificial intelligence (AI) vulnerability scanning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) vulnerability scanning involves using AI-powered tools and techniques to identify security weaknesses, misconfigurations, and potential threats in systems, networks, or applications. By continuously monitoring for threats, these tools provide instant alerts and proactive security measures, helping organizations detect and address vulnerabilities before they lead to harm.

The key components of AI vulnerability scanning include software and services. Software refers to AI-driven tools and applications designed for vulnerability scanning, risk assessment, and threat detection. Major technologies used in AI vulnerability scanning include machine learning, natural language processing, deep learning, and predictive analytics. These solutions are deployed through various models, including on-premises, cloud-based, and hybrid environments. AI vulnerability scanning is utilized by enterprises of all sizes, including small and medium-sized businesses and large enterprises. Key end-users span across multiple industries, including banking, financial services, and insurance (BFSI), healthcare, retail and e-commerce, government and defense, information technology and telecommunications, and others.

The artificial intelligence (AI) vulnerability scanning market research report is one of a series of new reports that provides artificial intelligence (AI) vulnerability scanning market statistics, including artificial intelligence (AI) vulnerability scanning industry global market size, regional shares, competitors with an artificial intelligence (AI) vulnerability scanning market share, detailed artificial intelligence (AI) vulnerability scanning market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) vulnerability scanning industry. This artificial intelligence (AI) vulnerability scanning 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 artificial intelligence (AI) vulnerability scanning market consists of revenues earned by entities by providing AI-powered security scanning solutions, automated threat detection, risk assessment tools, penetration testing software, compliance monitoring systems, and real-time cybersecurity analytics platforms. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) vulnerability scanning market also includes sales of AI-driven vulnerability assessment tools, cloud security scanners, endpoint security solutions, malware detection software, network security auditing tools, and automated remediation platforms. 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 revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values and are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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