The Business Research Company’s report on the Artificial Intelligence(AI) Vulnerability Scanning Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the key drivers behind the artificial intelligence(ai) vulnerability scanning market’s growth in recent years?
Rising number of cyber-attacks is expected to propel the growth of the artificial intelligence (AI) vulnerability scanning market going forward. Cyber-attacks are malicious attempts by individuals or groups to compromise, damage, or gain unauthorized access to computer systems, networks, or data, often with the intent to steal information, disrupt operations, or cause harm. The rising number of cyber-attacks is due to the increasing sophistication of hacking techniques, as cybercriminals continuously develop advanced malware that can bypass traditional security measures and exploit system vulnerabilities more effectively. Artificial intelligence (AI) vulnerability scanning provides cyber security when hackers manipulate its automated detection capabilities to systematically identify security weaknesses, that exploit vulnerabilities before organizations can patch them. For example, in February 2023, according to the Australian Cyber Security Centre, an Australia-based cyber security agency, in 2022, cybercrime reports received were 76,000, up from 13% from the previous year. Therefore, the rising number of cyber-attacks drives the artificial intelligence (AI) vulnerability scanning market.
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How does the future projection of the artificial intelligence(ai) vulnerability scanning market size compare to its historical growth?
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 in the historic period can be attributed to increasing adoption of cloud computing services, rising volume of cyberattacks, expansion of digital transformation initiatives, growth in regulatory compliance requirements, and increasing 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 17.0%. The growth in the forecast period can be attributed to rising focus on predictive analytics for vulnerability management, growth in demand for artificial intelligence-driven security in autonomous systems, increasing reliance on artificial intelligence to address cybersecurity skill shortages, rising investment in artificial intelligence-based security research and development, and growth in usage of artificial intelligence for proactive threat hunting. Major trends in the forecast period include advancement in artificial intelligence-powered autonomous vulnerability scanners, integration of generative artificial intelligence, advancement in explainable artificial intelligence, integration of artificial intelligence scanners, and development of lightweight artificial intelligence scanning solutions.
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Which key players are shaping the future of the artificial intelligence(ai) vulnerability scanning market?
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.
What trends will propel the growth and evolution of the artificial intelligence(ai) vulnerability scanning market?
Major companies operating in the artificial intelligence (AI) vulnerability scanning market are focusing on proactive security solution for AI and large language models to detect and mitigate vulnerabilities, prevent adversarial attacks. A proactive security solution for AI and large language models (LLMs) refers to advanced security measures and automated defense mechanisms designed to identify, mitigate, and prevent security vulnerabilities before they are exploited. For instance, in September 2024, a US-based cybersecurity company that provides cybersecurity solutions introduced AI Aware, a groundbreaking proactive security solution designed to enhance the protection of artificial intelligence (AI) systems and large language models (LLMs). The solution offers advanced detection of AI-related vulnerabilities, helping organizations mitigate risks related to data leakage and exploitation. AI Aware can identify both approved and unapproved AI software, libraries, and browser plugins within organizational environments. This capability is crucial for managing unauthorized AI usage, which has been reported by over one-third of security teams.
Which regions are expected to become dominant players in the artificial intelligence(ai) vulnerability scanning market?
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 the artificial intelligence(AI) vulnerability scanning market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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What are the emerging key segments in the artificial intelligence(ai) vulnerability scanning market, and how are they evolving?
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 & Consulting, Incident Response Services, Compliance & Risk Management Services
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What defines the structure and scope of the artificial intelligence(ai) vulnerability scanning market?
Artificial intelligence (AI) vulnerability scanning refers to the use of AI-powered tools and techniques to detect security weaknesses, misconfigurations, and potential threats in systems, networks, or applications. This helps organizations detect and fix problems before they cause harm by continuously monitoring for threats providing instant alerts and proactive security measures to prevent potential cyber threats.
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