The global market for Artificial Intelligence in Security is experiencing a period of explosive growth, but a strategic analysis of the Artificial Intelligence in Security Market Growth Share by Company reveals that this expansion is not a uniform tide. The most significant share of new revenue and market adoption is flowing towards cloud-native security platforms that have AI and machine learning at their core, particularly in the areas of endpoint detection and response (EDR/XDR) and cloud security. This trend reflects a fundamental shift in the cybersecurity industry, moving away from reactive, signature-based tools towards more proactive, predictive, and automated security architectures. The Artificial Intelligence in Security Market size is projected to grow USD 28.31 Billion by 2035, exhibiting a CAGR of 11.46% during the forecast period 2025-2035. Understanding how this substantial growth is being allocated is key, as it highlights the ascendancy of AI-native vendors who are displacing legacy players and the strategic imperative for all security companies to demonstrate a compelling and effective AI-driven value proposition to capture a share of the market's future. The growth is flowing towards intelligence.
A disproportionately large share of the market's growth is being captured by the leaders in the AI-powered Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) space. Companies like CrowdStrike and SentinelOne have experienced hyper-growth by offering a fundamentally new and more effective approach to endpoint security. Unlike traditional antivirus software that relies on a database of known malware signatures, their platforms use a lightweight cloud-connected agent to continuously monitor endpoint activity and apply machine learning models to detect malicious behaviors and novel threats in real-time. This AI-driven, behavioral approach has proven to be far more effective at stopping sophisticated attacks like ransomware and fileless malware. Their growth is a direct result of enterprises ripping out their legacy antivirus solutions and replacing them with these modern, AI-powered platforms. As these companies expand their platforms from EDR to XDR—ingesting and correlating data not just from endpoints, but also from network, cloud, and identity sources—they are capturing an even larger share of the enterprise security budget, positioning themselves as the central platform for threat detection and response.
While the EDR/XDR leaders capture the endpoint security growth, another massive share of the market's expansion is being captured by the major cloud hyperscalers and the platform security giants in the realm of cloud security. As enterprises move their workloads to the cloud, securing these dynamic and complex environments has become a top priority. The cloud providers themselves—Microsoft, AWS, and Google—are capturing huge growth by offering a suite of native, AI-powered security tools. Services like Microsoft Sentinel, a cloud-native SIEM, and AWS GuardDuty, which uses machine learning to detect threats in an AWS environment, are gaining massive traction due to their seamless integration and ease of use. At the same time, the major platform security vendors like Palo Alto Networks are capturing significant growth with their comprehensive Cloud-Native Application Protection Platforms (CNAPP), such as Prisma Cloud. These platforms use AI to provide a unified solution for securing the entire cloud-native application lifecycle, from development to production. The growth in this segment is a direct reflection of the massive, ongoing shift of enterprise computing to the public cloud, making cloud security the single largest and fastest-growing battleground for AI-driven security solutions.
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