AI Vulnerability Scanning Market Report 2026

The artificial intelligence (AI) vulnerability scanning market size has grown rapidly in recent years. It will grow from $3.06 billion in 2025 to $3.58 billion in 2026 at a compound annual growth rate (CAGR) of 17%. The growth in the historic period can be attributed to rising frequency of cyberattacks, early adoption of vulnerability management tools, increasing enterprise digitization, growth of cloud infrastructure, regulatory compliance requirements.

The artificial intelligence (AI) vulnerability scanning market size is expected to see rapid growth in the next few years. It will grow to $6.62 billion in 2030 at a compound annual growth rate (CAGR) of 16.7%. The growth in the forecast period can be attributed to expansion of AI based cybersecurity platforms, increasing cloud native deployments, demand for proactive security models, integration of security into devops workflows, rising investment in automated threat intelligence. Major trends in the forecast period include continuous AI driven threat detection, automated vulnerability prioritization, real time security alerting, integrated application and network scanning, predictive cyber risk assessment.

The growing frequency of cyber-attacks is anticipated to drive the expansion of the artificial intelligence (AI) vulnerability scanning market in the coming years. Cyber-attacks refer to malicious efforts by individuals or groups to breach, damage, or gain unauthorized access to computer systems, networks, or data, typically aimed at stealing information, disrupting operations, or causing harm. The increase in cyber-attacks is attributed to the rising sophistication of hacking methods, as cybercriminals continue to develop advanced malware capable of bypassing conventional security measures and exploiting system weaknesses more efficiently. Artificial intelligence (AI) vulnerability scanning enhances cybersecurity by using automated detection capabilities to systematically identify security gaps that hackers may exploit before organizations are able to implement patches. For example, in July 2023, according to Chainalysis Inc., a US-based software company, ransomware was the only category of cryptocurrency-related crime projected to increase in 2023, with attackers extracting $175.8 million more than they had at the same point in 2022. Thus, the increasing number of cyber-attacks is fueling the growth of the artificial intelligence (AI) vulnerability scanning market.

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 companies operating 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 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) vulnerability scanning market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) vulnerability scanning market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have affected the AI vulnerability scanning market by increasing costs associated with imported cybersecurity hardware, specialized processors, and supporting infrastructure components. These tariff related cost increases have impacted pricing strategies for software and managed security services, especially for vendors relying on cross border technology supply chains. Cloud based and hybrid deployment segments have faced moderate cost pressures in regions such as north america and asia pacific where technology imports remain significant. At the same time, tariffs have encouraged organizations to adopt software centric and cloud native vulnerability scanning solutions that reduce dependence on physical infrastructure. This shift has supported local cybersecurity vendors and accelerated innovation in cost efficient AI driven security platforms. Over the long term, increased regional investment in digital security infrastructure is improving market resilience against trade uncertainties.

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 a 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.

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 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 that 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.

This product will be delivered within 1-3 business days.