AI in Cybersecurity Market
Global AI in Cybersecurity Market reached US$ 26.29 billion in 2024 and is expected to reach US$ 109.33 billion by 2032, growing with a CAGR of 19.50% during the forecast period 2025-2032.
According to DataM Intelligence has published a new research report on “AI in Cybersecurity Market Size 2025”. The report explores comprehensive and insightful Information about various key factors like Regional Growth, Segmentation, CAGR, Business Revenue Status of Top Key Players and Drivers. The purpose of this report is to provide a telescopic view of the current market size by value and volume, opportunities, and development status.
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➣ Recent Developments:
United States: Recent Industry Developments – AI in Cybersecurity
✅ August 2025 – CrowdStrike launched an autonomous threat-hunting engine powered by generative AI that predicts attacker behavior and blocks intrusions before they execute, strengthening enterprise cloud defense.
✅ July 2025 – Microsoft introduced Copilot for Security 2.0, featuring AI-driven incident summaries, automated response playbooks, and enhanced anomaly detection across hybrid cloud environments.
✅ June 2025 – Palo Alto Networks unveiled a unified AI defense platform integrating LLM-powered SOC automation, reducing incident triage time by 60% and improving detection accuracy for zero-day exploits.
Europe: Recent Industry Developments – AI in Cybersecurity
✅ August 2025 – Germany: Siemens announced an industrial cybersecurity system using AI anomaly detection to safeguard OT networks in factories, reducing downtime linked to cyber incidents.
✅ July 2025 – United Kingdom: Darktrace launched Self-Healing AI, enabling autonomous remediation of malware and insider threats without human intervention.
✅ June 2025 – France: Thales Group unveiled AI-enhanced SOC platforms with deep-learning models optimized for early detection of ransomware, phishing, and state-sponsored intrusion campaigns.
➣ Top Industry Players:
NVIDIA, Amazon Web Services, Inc., Cylance Inc. (BlackBerry), Darktrace, Microsoft Corporation, Fortinet, Inc., IBM Corporation, Intel Corporation, LexisNexis, and Micron Technology, Inc.
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➣ Key Segments:
By Security Type: Network Security, Endpoint Security, Application Security, Hardware Security, Others.
By Component, Hardware, Solutions, Services.
By Deployment Type: On-premises, Cloud-based.
By Technology: Machine Learning, Natural Language Processing (NLP), Context-aware computing, Others.
By Application: Identity and Access Management, Natural Language Processing (NLP), Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence, Others.
By End-Use Industry: Banking, Financial Services and Insurance, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation, Others.
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