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Artificial Intelligence in Cybersecurity Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence in cybersecurity market size has demonstrated significant expansion in recent years. This market is projected to expand from $35.08 billion in 2025 to reach $42.95 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 22.4%. Historically, this expansion has been driven by factors such as increasing cyberattacks and data breaches, growing adoption of digital technologies, rising complexity of it networks, limited manual security capabilities, and increasing regulatory compliance requirements.
The market for artificial intelligence in cybersecurity is projected to experience rapid expansion in the coming years. This market is anticipated to reach $96.4 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 22.4%. Factors contributing to this growth during the projection period include the incorporation of AI into cybersecurity tools, the expansion of cloud and hybrid IT infrastructures, a heightened need for proactive threat management, the implementation of automated Security Operations Centers (SOCs), and an increased emphasis on data privacy and safeguarding. Key developments anticipated within the forecast timeframe encompass automated threat identification, immediate incident handling, behavioral analytics for enhanced cybersecurity, analysis for predicting breach risks, and the automation of security compliance.
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Artificial Intelligence in Cybersecurity Market Expansion Supported By Key Demand Factors
The escalating occurrences of cyber threats are anticipated to propel the expansion of the artificial intelligence in the cybersecurity market in the future. A cyber threat is an act of malice intended to illicitly obtain or damage data, or to destabilize the digital infrastructure and functions of an enterprise. The surge in these threats is primarily due to increasing digitalization and the prevalence of remote work, which collectively enlarge the array of potential targets for malicious entities. Artificial intelligence, when applied to cybersecurity, fortifies defenses by leveraging sophisticated algorithms to identify, assess, and mitigate evolving cyber risks in real time, thereby enhancing capabilities for threat intelligence and incident response. For example, in November 2023, the Australian Cyber Security Centre, an Australia-based government cyber agency, disclosed that close to 94,000 cybercrime reports were lodged with ReportCyber during the 2022–23 financial year, marking a 23% increase compared to the previous year. Consequently, the rising instances of cyber threats are a key driver for the growth of the artificial intelligence in the cybersecurity market.
Artificial Intelligence in Cybersecurity Market Categorization By Product Type And Application
The artificial intelligence in cybersecurity market covered in this report is segmented –
1) By Offering: Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing
3) By Deployment Mode: Cloud, On-Premise
4) By Application: Antivirus Or Antimalware, Data Loss Prevention, Fraud Detection Or Anti-Fraud, Identity And Access Management, Intrusion Detection Or Prevention System, Risk And Compliance Management, Security And Vulnerability Management, Threat Intelligence, Other Applications
5) By End-User: BFSI (Banking, Financial Services, And Insurance), Enterprise, Retail, Government And Defense, Manufacturing, Healthcare, Automotive And Transportation, Infrastructure, Other End Users
Subsegments:
1) By Software: Threat Detection And Response, Identity And Access Management, Data Loss Prevention, Endpoint Security, Network Security, Security Information And Event Management (SIEM), Fraud Detection
2) By Services: Consulting Services, Managed Security Services, Training And Support Services
Artificial Intelligence in Cybersecurity Market Trends: What Is Shaping Future Industry Growth?
Major companies active in the AI-in-cybersecurity market are prioritizing the development of advanced solutions, including AI-powered cybersecurity assistants, to improve the accuracy of threat detection, streamline incident response, and decrease alert fatigue for security teams. These AI-powered cybersecurity assistants are intelligent tools that leverage artificial intelligence and machine learning algorithms to support cybersecurity professionals in detecting, investigating, and mitigating security threats in real time. For instance, in August 2024, IBM, a US-based technology company, unveiled its Cybersecurity Assistant. This generative AI-powered capability, built on the watsonx platform and integrated into its managed Threat Detection and Response (TDR) Services, aims to enhance operational efficiency and response times. The assistant can automatically escalate or close up to 85% of alerts using automation and generative AI and has been shown to reduce alert investigation times by 48% for one client, enabling faster and more effective incident management.
Artificial Intelligence in Cybersecurity Market Company Landscape And Strategic Competition
Major companies operating in the artificial intelligence in cybersecurity market are Microsoft Corporation; Amazon Web Services Inc.; International Business Machines Corporation; Cisco Systems Inc.; Trellix; Palo Alto Networks Inc.; Fortinet Inc.; Symantec Corporation; NortonLifeLock; Gen Digital Inc.; Palantir Technologies; CrowdStrike; Zscaler; FireEye Inc.; Darktrace; SentinelOne; Vectra AI Inc.; Cybereason; Venafi Inc.; Securonix Inc.; Cylance Inc.; SparkCognition; Tessian; Acalvio Technologies Inc.
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Artificial Intelligence in Cybersecurity Market Geographic Distribution And Regional Opportunities
North America was the largest region in the artificial intelligence in cybersecurity 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 cybersecurity 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.
