The AI infrastructure security market size has grown rapidly in recent years. It will grow from $12.01 billion in 2025 to $14.27 billion in 2026 at a compound annual growth rate (CAGR) of 18.8%. The growth in the historic period can be attributed to increasing frequency of cyberattacks on AI systems, expansion of cloud-based AI deployments, growing enterprise data volumes, early adoption of AI workloads in critical sectors, rising awareness of AI security vulnerabilities.
The AI infrastructure security market size is expected to see rapid growth in the next few years. It will grow to $28.66 billion in 2030 at a compound annual growth rate (CAGR) of 19.1%. The growth in the forecast period can be attributed to increasing regulatory focus on AI system security, rising investments in secure AI infrastructure, expansion of AI workloads across industries, growing demand for real-time threat monitoring, increasing adoption of privacy-preserving AI architectures. Major trends in the forecast period include increasing deployment of AI-specific cybersecurity platforms, rising adoption of zero-trust security architectures, growing demand for AI infrastructure threat detection, expansion of secure cloud AI environments, enhanced focus on model and data protection.
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What Are The Major Drivers Expected To Impact The AI Infrastructure Security Market By 2030?
The growing cyber threats are expected to propel the growth of the artificial intelligence (AI) infrastructure security market going forward. Cyber threats refer to any malicious attempts by individuals, groups, or software to damage, disrupt, or gain unauthorized access to computer systems, networks, or digital data. Growing cyber threats are due to increasing digitalization, as the expansion of online systems, devices, and data creates more opportunities for cyberattacks and security vulnerabilities. Artificial Intelligence (AI) infrastructure security helps mitigate cyber threats by protecting AI systems, data, and networks from attacks, ensuring secure operations, and maintaining the integrity and confidentiality of sensitive information. For instance, in October 2025, according to the Australian Signals Directorate, an Australia-based government agency, in FY2024–25, the Australian Signals Directorate’s (ASD) Australian Cyber Security Centre (ACSC) received over 42,500 calls to the Australian Cyber Security Hotline, marking a 16% rise from the previous year. Therefore, the growing cyber threats are driving the growth of the artificial intelligence (AI) infrastructure security market.
Which Firms Are The Main Competitors In The AI Infrastructure Security Market?
Major companies operating in the AI infrastructure security market are Amazon Web Services Inc., Google LLC, Microsoft Corporation, IBM Corporation, Cisco Systems Inc., Palo Alto Networks Inc., Fortinet Inc., CrowdStrike Holdings Inc., Check Point Software Technologies Ltd., Okta Inc., Zscaler Inc., Trend Micro Inc., Elastic N.V, Rapid7 Inc., SentinelOne Inc., Cybereason Inc, Securonix Inc., Vectra AI Inc., Torq Security Inc., ThreatConnect Inc.
Which Trends Are Likely To Influence AI Infrastructure Security Market Growth Over The Next Decade?
Major companies operating in the artificial intelligence (AI) infrastructure security market are focusing on developing innovative solutions, such as automated threat detection, to enhance the security, reliability, and compliance of AI workloads. Automated threat detection is the use of software and AI systems to continuously monitor networks, applications, or infrastructure and automatically identify suspicious activities, vulnerabilities, or cyberattacks in real time. For instance, in April 2025, Aqua Security Software Ltd., an Israel-based cloud-native security company, launched Secure AI to provide industry-first full lifecycle security for AI applications. The solution is designed to protect AI workloads from development through runtime, including safeguarding the prompt layer. It enables real-time detection of AI-specific threats, such as prompt injection, model misuse, and unsafe outputs. It offers visibility, governance, and risk metrics across AI models, cloud environments, and application code, all without requiring changes to developer workflows.
Which Segments Contribute Most To The AI Infrastructure Security Market Growth?
The AI infrastructure security market covered in this report is segmented –
1) By Component: Software; Hardware; Services
2) By Deployment Mode: On-Premises; Cloud
3) By Organization Size: Small And Medium Enterprises; Large Enterprises
4) By Security Type: Network Security; Endpoint Security; Application Security; Cloud Security; Data Security; Other Security Types
5) By End-User: Banking, Financial Services, And Insurance (BFSI); Healthcare; Information Technology And Telecommunications; Retail; Government; Manufacturing; Other End-Users
Subsegments:
1) By Software: Threat Detection And Prevention Software; Identity And Access Management Software; Security Information And Event Management Software; Network Traffic Analysis Software; Vulnerability Assessment And Risk Management Software
2) By Hardware: Secure Network Appliances; Dedicated Security Processing Units; Hardware Firewalls; Secure Data Storage Devices; Encryption Acceleration Devices
3) By Services: Security Consulting And Advisory Services; System Integration And Deployment Services; Managed Security Monitoring Services; Incident Response And Recovery Services; Training And Support Services
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Which Region Is Expected To Be The Fastest-Growing In The AI Infrastructure Security Market?
North America was the largest region in the AI infrastructure security market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI infrastructure security market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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