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Generative Artificial Intelligence In Security Market CAGR Outlook And Future Development
The generative artificial intelligence in security market size has experienced substantial growth in recent years. This market is expected to expand from $0.97 billion in 2025 to $1.17 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 20.8%. Factors contributing to its historical growth include a rise in cyberattacks and data breaches, the increasing adoption of cloud computing, the initial deployment of AI within security systems, a growing need for network and application protection, and the broadening of regulatory compliance requirements.
The generative artificial intelligence in security market is projected for substantial expansion, with its size anticipated to reach $2.46 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 20.5%. This growth during the forecast period is attributed to advancements in generative AI algorithms, the integration of AI with cloud and IoT security, an increase in managed security services, the adoption of predictive analytics for threat prevention, and the expansion of AI-driven endpoint and identity management solutions. Significant trends for the same period encompass AI-based threat detection and prevention, the use of generative AI for anomaly identification, synthetic data generation for security training, predictive security analytics, and automated incident response solutions.
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Generative Artificial Intelligence In Security Market Growth Drivers: What’s Behind The Acceleration?
The expanding occurrence of cybersecurity threats is anticipated to fuel the advancement of the generative artificial intelligence in security market moving forward. These threats encompass malevolent actions targeting digital systems with the intent to steal, corrupt, or disrupt data and operational processes. They manifest as hacking, malware, phishing, and ransomware attacks. Cybersecurity threats frequently emerge from system vulnerabilities, human errors, and increasingly sophisticated assaults by malicious actors exploiting weaknesses for financial gain, data theft, or service disruption. Generative artificial intelligence in security aids in countering cybersecurity threats by developing advanced models for detecting threats, simulating potential attack scenarios, and refining response strategies, thereby enhancing overall security protocols. For instance, in December 2024, the Internet Crime Complaint Center, a US-based government agency, indicated that in 2024, ransomware was once again the most prevalent threat to critical infrastructure, with complaints increasing 9% from 2023. In 2024, total complaints amounted to 859,532, resulting in losses of $16.6 billion, marking a 33 percent rise from 2023. Therefore, the growing number of cybersecurity threats is propelling the expansion of the generative artificial intelligence in security market.
Generative Artificial Intelligence In Security Market Segment Outlook: Which Categories Are Growing Fastest?
The generative artificial intelligence in security market covered in this report is segmented –
1) By Type: Network Security, Application Security, Cloud Security, Other Security Types
2) By Service: Professional Services, Managed Services
3) By Deployment Mode: Cloud-Based, On-Premises
4) By End Users: Retail, Banking, Financial Services And Insurance, Manufacturing, Healthcare, Other End-Users
Subsegments:
1) By Network Security: Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS), Firewalls and Threat Management, Network Traffic Analysis, Secure Access Service Edge (SASE)
2) By Application Security: Web Application Firewalls (WAF), API Security Solutions, Runtime Application Self-Protection (RASP), Static and Dynamic Application Security Testing (SAST/DAST), Software Composition Analysis (SCA)
3) By Cloud Security: Cloud Access Security Brokers (CASB), Cloud Security Posture Management (CSPM), Data Loss Prevention (DLP) for Cloud Services, Cloud Encryption Solutions, Identity and Access Management (IAM) for Cloud
4) By Other Security Types: Endpoint Security, Data Security and Encryption, Identity and Access Management (IAM), Mobile Security Solutions, Physical Security Solutions
Generative Artificial Intelligence In Security Market Trends: What’s Defining The Industry’s Next Phase?
Major companies in the generative artificial intelligence in security market are concentrating on developing innovative products, such as next-generation scanners, to equip enterprises with customizable AI-powered security solutions that enhance control and efficiency. Next-generation scanners are sophisticated imaging devices that utilize cutting-edge technology to provide higher resolution, faster processing, and more accurate data capture compared to older models. For instance, in May 2024, CalypsoAI Corp., a US-based artificial intelligence (AI) security company, launched Customizable Generative Artificial Intelligence Security Scanners for enterprises. These scanners enable organizations to design their own AI-powered scanners, define detailed policies, block or redact content, and create new categories based on proprietary data. Additionally, enhanced security functionalities for chatbots on platforms like Slack and Microsoft Teams integrate seamlessly with existing workflows, supporting various AI models and improving secure document handling and query support.
Generative Artificial Intelligence In Security Market Leading Companies And Competitive Benchmarking
Major companies operating in the generative artificial intelligence in security market are Intel Corporation, International Business Machines Corporation (IBM), Nvidia Corporation, Palo Alto Networks, Fortinet Inc., CrowdStrike Holdings Inc., Elasticsearch B.V., AO Kaspersky Lab, Forcepoint, Arctic Wolf, Darktrace Holdings Limited, BeyondTrust Corporation, Sumo Logic, SentinelOne, Cybereason, LogRhythm, ExtraHop Networks, Securonix Inc., Vectra AI, Aqua Security, Menlo Security Inc., SparkCognition Inc., Deep Instinct Ltd, Acalvio Technologies
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Generative Artificial Intelligence In Security Market Regional Analysis: Which Geography Leads On Revenue?
North America was the largest region in the generative artificial intelligence in security market in 2025. The regions covered in the generative artificial intelligence in security 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.
