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Artificial Intelligence (AI) Vulnerability Scanning Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market for artificial intelligence (AI) vulnerability scanning has seen rapid growth in recent years. Its size is expected to increase from $3.06 billion in 2025 to $3.58 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 17.0%. Historically, this expansion has been driven by factors such as the rising frequency of cyberattacks, the early adoption of vulnerability management tools, increasing enterprise digitization, the growth of cloud infrastructure, and regulatory compliance requirements.
The artificial intelligence (AI) vulnerability scanning market is projected to experience substantial expansion over the upcoming years. This market is forecast to reach $6.62 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 16.7%. Several factors are contributing to this anticipated growth, including the proliferation of AI-powered cybersecurity platforms, a rise in cloud-native deployments, the necessity for proactive security frameworks, the incorporation of security measures into DevOps workflows, and increased funding for automated threat intelligence. Key trends expected during this period involve ongoing AI-powered threat detection, automated ranking of vulnerabilities, immediate security notifications, unified application and network scanning, and forward-looking cyber risk evaluation.
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Artificial Intelligence (AI) Vulnerability Scanning Market Growth Momentum: Which Factors Are Influencing Demand?
The increasing number of cyber-attacks is anticipated to propel the growth of the artificial intelligence (AI) vulnerability scanning market moving forward. Cyber-attacks are malicious attempts by individuals or groups to compromise, damage, or gain unauthorized access to computer systems, networks, or data, frequently with the intention to steal information, disrupt operations, or cause harm. The surge in cyber-attacks is attributable to the increasing sophistication of hacking techniques, as cybercriminals consistently develop advanced malware capable of bypassing traditional security measures and exploiting system vulnerabilities more effectively. Artificial intelligence (AI) vulnerability scanning delivers cybersecurity, particularly as hackers skillfully manipulate automated detection capabilities to systematically identify security weaknesses, exploiting these vulnerabilities before organizations can patch them. For instance, in July 2023, according to chainalysis Inc., a US-based software company, Ransomware, however, was the sole category of cryptocurrency-related crime projected to rise in 2023, with attackers extracting $175.8 million more than they had by the same point in 2022. Therefore, the growing number of cyber-attacks drives the artificial intelligence (AI) vulnerability scanning market.
Artificial Intelligence (AI) Vulnerability Scanning Market Segment Outlook: Which Categories Are Expanding The Fastest?
The artificial intelligence (AI) vulnerability scanning market covered in this report is segmented –
1) By Component: Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Deep Learning, Predictive Analytics
3) By Deployment Type: On Premises, Cloud Based, Hybrid
4) By Enterprise Size: Small And Medium Size Enterprise, Large Enterprises
5) By End Users: Banking, Financial Services, And Insurance (BFSI), Healthcare, Retail And E-Commerce, Government And Defence, Information Technology And Telecommunication, Other End Users
Subsegments:
1) By Software Type: AI-Powered Vulnerability Scanners, Cloud-Based Vulnerability Scanning Software, Network Security Scanning Tools, Application Security Scanning Software, Endpoint Vulnerability Scanners
2) By Services Type: Managed Vulnerability Scanning Services, Penetration Testing Services, Security Assessment And Consulting, Incident Response Services, Compliance And Risk Management Services
#Artificial Intelligence (AI) Vulnerability Scanning Market Trends Influencing Long-Term Demand
Leading firms within the artificial intelligence (AI) vulnerability scanning market are concentrating their efforts on developing proactive security solutions tailored for AI and large language models, aiming to identify and reduce vulnerabilities and thwart adversarial attacks. Such a proactive security solution for AI and large language models (LLMs) encompasses sophisticated security protocols and automated defensive systems engineered to pinpoint, alleviate, and preempt security weaknesses before their exploitation. As an illustration, in September 2024, a US-based cybersecurity company specializing in cybersecurity solutions unveiled AI Aware, an innovative proactive security offering crafted to bolster the safeguarding of artificial intelligence (AI) systems and large language models (LLMs). This solution provides superior detection capabilities for AI-associated vulnerabilities, assisting organizations in lessening hazards linked to data breaches and misuse. AI Aware possesses the ability to distinguish between authorized and unauthorized AI software, libraries, and browser plugins present across organizational settings. This particular feature is vital for overseeing unapproved AI utilization, a concern that has been highlighted by over one-third of security teams.
Artificial Intelligence (AI) Vulnerability Scanning Market Key Companies And Competitive Benchmarking
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.
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Artificial Intelligence (AI) Vulnerability Scanning Market Geographic Analysis: Where Is Demand Growing The Fastest?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.