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Artificial Intelligence In Security Market Size Forecast: How Big Could The Market Get By 2030?
The artificial intelligence in security market has seen significant expansion in recent years. This market is set to expand from $32.65 billion in 2025 to $40.39 billion in 2026, achieving a compound annual growth rate (CAGR) of 23.7%. In previous periods, this growth was primarily fueled by an increase in cybercrime occurrences, the escalating digitization of enterprises, a rise in online transactions, the necessity for regulatory compliance, and the wider deployment of cloud computing.
The artificial intelligence in security market size is projected to experience substantial growth over the next few years. It is estimated to reach $96.42 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 24.3%. The expansion observed during the forecast period is attributed to several factors, including the adoption of zero trust security models, the increasing complexity of cyber threats, the proliferation of AI-powered security automation, the expansion of remote work environments, and a rising demand for real-time threat intelligence. Prominent trends identified for this period encompass AI-driven threat detection, automated incident response systems, behavioral analytics for cybersecurity, AI-based identity and access management, and predictive security analytics.
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Artificial Intelligence In Security Market Demand Drivers Opening New Revenue Streams
The escalating danger posed by cyberattacks is projected to drive the expansion of artificial intelligence in the security market in the coming period. A cyberattack involves any effort to access a computer, computing system, or network with malicious intent. One prevalent form, Phishing, is a cybersecurity assault that deceives individuals into installing malware, revealing personal data, and exposing themselves or their organizations to criminal acts. To bolster their defenses against evolving threats and such cyber-attacks, organizations are driving the need for sophisticated artificial intelligence security solutions. These solutions leverage techniques like encryption, anomaly detection, and behaviour analysis for data protection. As an illustration, data from the Australian Cyber Security Centre (ACSC), an Australian government agency, revealed that in November 2023, the 2022-23 financial year saw nearly 94,000 reports of cybercrime lodged with ReportCyber. This represented an increase of 23% compared to the preceding financial year. Consequently, the rising prevalence and severity of cyberattack risks are significant factors propelling the growth of artificial intelligence in the security market.
Artificial Intelligence In Security Market Segment Trends And Revenue Contributors
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 Powering Strategic Industry Growth
Companies operating within the **artificial intelligence in security market** are creating advanced technologies, like policy management platforms, to attract more customers, enhance sales, and grow revenue. A policy management platform is a software tool created to simplify the establishment, implementation, and oversight of an organization’s policies and procedures. For instance, in **September 2023**, **Discern Security**, a **US-based** cybersecurity mesh infrastructure firm, unveiled an AI-powered security policy management platform. Discern’s platform specifically addresses three common difficulties encountered by businesses. It allows organizations to maximize the impact of their security investments by improving the efficiency of existing products. Additionally, it helps alleviate the industry-wide shortage of cybersecurity expertise by managing operational tasks, thereby freeing teams to focus on strategic initiatives. Furthermore, it tackles the inherent issue of disparate security products by simplifying complex configurations, which in turn enhances both security measures and productivity, making it unique in the market.
Artificial Intelligence In Security Market Competitive Landscape: Which Companies Lead The Industry?
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 Top Region By Revenue And 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.
