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Artificial Intelligence In Security Market Valued At $40.39 Billion In 2026, Projected To Reach $96.42 Billion By 2030
The artificial intelligence in security market has witnessed significant growth in recent years. It is projected to increase from $32.65 billion in 2025 to $40.39 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.7%. This historic expansion can be attributed to a rise in cybercrime incidents, increasing enterprise digitization, growth of online transactions, regulatory compliance requirements, and the expansion of cloud computing.
The artificial intelligence in security market is anticipated to experience substantial growth in the upcoming years, with its size projected to reach $96.42 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.3%. This expansion during the forecast period is primarily driven by the increasing adoption of zero-trust security models, the escalating complexity of cyber threats, the rise of AI-powered security automation, the widespread expansion of remote work environments, and a growing demand for real-time threat intelligence. Furthermore, significant trends expected over this period include AI-driven threat detection, the implementation of automated incident response systems, the use of behavioral analytics for cybersecurity, AI-based identity and access management, and the development of predictive security analytics.
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Key Factor Propelling The Artificial Intelligence In Security Market Forward
The escalating danger of cyber threats is anticipated to fuel the expansion of artificial intelligence within the security market in the future. Such an attack refers to any endeavor to illicitly access a computer, computational system, or network with malicious intent. Phishing represents a form of cybersecurity assault where individuals are deceived into installing malicious software, revealing private details, and exposing themselves or their enterprises to criminal acts. To bolster their defenses and respond to evolving threats and cyber-assaults, companies are boosting the need for sophisticated artificial intelligence security solutions, which employ techniques like encryption, anomaly identification, and behavioral analysis for data protection. For example, in November 2023, the Australian Cyber Security Centre (ACSC), an Australian government body, reported that in the 2022-23 financial year, approximately 94,000 cybercrime incidents were submitted to ReportCyber, marking a 23% rise from the prior financial year. Consequently, the heightened risks posed by cyberattacks are propelling the expansion of artificial intelligence in the security market.
Artificial Intelligence In Security Market Segments And Subsegments Explained
The artificial intelligence in security market covered in this report is segmented –
1) By Component: Services, Software
2) By Solutions: Identity And Access Management (IAM), Risk And Compliance Management, Encryption, Data Loss Prevention (DLP), Unified Threat Management (UTM), Antivirus Or Antimalware, Intrusion Detection Or Prevention System (IDS Or IPS), Other Solutions
3) By Deployment: On-Cloud, On-Premise
4) By Security Type: Network Security, Application Security, Cloud Security, Endpoint Security, Other Security Types
5) By End-Users: Enterprise, BFSI (Banking, Financial Services, And Insurance), Government And Defense , Retail, Healthcare, Manufacturing , Automotive And Transportation, Infrastructure, Other End-Users
Subsegments:
1) By Services: Consulting Services, Integration Services, Managed Services
2) By Software: Threat Intelligence Software, Intrusion Detection Systems (IDS), Security Information And Event Management (SIEM), Identity And Access Management (IAM), Endpoint Security Software, Network Security Software
Emerging Trends Transforming The Artificial Intelligence In Security Market
Leading firms within the artificial intelligence in security market are creating sophisticated solutions, like policy management platforms, to cater to broader customer segments, boost sales, and generate higher income. A policy management platform refers to a software tool aimed at simplifying the development, deployment, and oversight of corporate policies and processes. As an example, in September 2023, Discern Security, a US-based firm specializing in cybersecurity mesh infrastructure, introduced an AI-driven security policy management platform. Discern’s AI-powered security policy management platform specifically tackles three prevalent business difficulties. It enables organizations to maximize the effectiveness of their security investments by improving the efficiency of current products. Furthermore, it mitigates the widespread lack of cybersecurity talent by managing routine operational duties, allowing teams to concentrate on strategic objectives. Moreover, it resolves the challenge of disparate security products by streamlining intricate configuration, consequently improving both security protocols and output, which distinguishes it in the market.
Artificial Intelligence In Security Market Key Players: Major Companies In The 2026 Report
Major companies operating in the artificial intelligence in security market are Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Broadcom Inc.; Nvidia Corporation; VMware Inc.; Palo Alto Networks Inc.; Fortinet Inc.; Splunk Inc.; Check Point Software Technologies Ltd.; Trend Micro Inc.; CrowdStrike Holdings Inc.; Kaspersky Lab Inc.; BlackBerry Limited; Rapid7 LLC; Mandiant; Darktrace Inc.; Cybereason; SentinelOne Inc.; Securonix Inc.; Vectra AI Inc.; FireEye Inc.; Sophos Ltd.; Okta Inc.; Proofpoint Inc.
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Artificial Intelligence In Security Market By Region: Where Is Demand Strongest?
North America was the largest region in the artificial intelligence in security market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the 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.
