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Artificial Intelligence In Security Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market for artificial intelligence in security has experienced rapid expansion in its scale over recent years. This market is projected to expand from $32.65 billion in 2025 to $40.39 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 23.7%. Historically, its growth has been driven by factors such as a rise in cybercrime incidents, increasing enterprise digitization, the growth of online transactions, regulatory compliance requirements, and the expansion of cloud computing.
The artificial intelligence in security market is projected to experience substantial expansion over the upcoming years. Its valuation is anticipated to reach $96.42 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 24.3%. This anticipated growth during the forecast timeframe stems from factors such as the implementation of zero trust security models, the escalating complexity of cyber threats, the proliferation of AI-powered security automation, the broadening of remote work environments, and the increasing need for real-time threat intelligence. Key developments foreseen in this period encompass AI-driven threat detection, automated systems for incident response, the application of behavioral analytics in cybersecurity, AI-powered identity and access management solutions, and the use of predictive security analytics.
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#Artificial Intelligence In Security Market Demand Drivers Creating New Revenue Opportunities
The escalating threat of cyberattacks is anticipated to fuel the expansion of artificial intelligence in the security market. A cyberattack involves any attempt to gain unauthorized access to a computer, computing system, or network to cause harm, with phishing being a common type where users are tricked into installing malware, disclosing personal information, and risking criminal activity. Organizations are increasingly demanding advanced artificial intelligence security solutions to strengthen their defenses and respond to evolving threats, leveraging methods such as encryption, anomaly detection, and behavior analysis for data protection. For instance, in November 2023, the Australian Cyber Security Centre (ACSC) reported that nearly 94,000 cybercrime incidents were submitted to ReportCyber during the 2022-23 financial year, representing an increase of 23% compared to the previous financial year. Therefore, the growing risks of cyberattacks are driving the growth of artificial intelligence in the security market.
Artificial Intelligence In Security Market Categorization By Product Type And Application
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
Artificial Intelligence In Security Market Trends: What Is Shaping Future Industry Growth?
Leading enterprises operating within the artificial intelligence in security market are developing cutting-edge technologies, such as policy management platforms, to serve larger customer bases, increase sales, and boost revenue. A policy management platform is a software solution designed to simplify the creation, implementation, and oversight of organizational policies and procedures. For instance, in September 2023, Discern Security, a US-based cybersecurity mesh infrastructure firm, introduced an AI-enabled security policy management platform. Discern’s AI-powered security policy management platform specifically tackles three common challenges encountered by businesses. It enables organizations to maximize the utility of their security investments by improving the performance of current products. Moreover, it addresses the industry-wide scarcity of cybersecurity expertise by undertaking operational tasks, allowing teams to focus on strategic endeavors. Additionally, it resolves the intrinsic issue of isolated security products by streamlining the complex configuration process, thereby enhancing both security protocols and productivity, setting it apart in the market.
Artificial Intelligence In Security Market Company Landscape And Strategic Competition
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 Largest Region: Which Geography Holds The Highest Market Share?
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.