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AI in Security Market Forecast 2024-2031: $21B in 2022 Growing to $54.2B with 19.1% CAGR | Top Companies are Palo Alto Networks Inc., Trellix, Darktrace

12-08-2025 07:46 AM CET | IT, New Media & Software

Press release from: DataM Intelligence 4market Research LLP

Artificial Intelligence (AI) in Security Market

Artificial Intelligence (AI) in Security Market

Global Artificial Intelligence (AI) in Security Market reached USD 21.0 billion in 2022 and is expected to reach USD 54.2 billion by 2031, growing with a CAGR of 19.1% during the forecast period 2024-2031.

According to DataM Intelligence has published a new research report on "Artificial Intelligence in Security 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.

AI in Security applies machine learning, computer vision, and behavioral analytics to detect, prevent, and respond to cyber and physical threats. Solutions include anomaly detection, automated incident response, video analytics, and identity verification. Adoption is driven by rising cyberattacks, cloud migration, and the need for real-time threat intelligence. Enterprises, governments, and MSSPs are primary users. Advances in explainable AI and automation improve detection speed and reduce false positives. Privacy, regulatory compliance, and model robustness shape market evolution.

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➣ Recent Developments:

United States: Recent Industry Developments

βœ… In July 2025, Microsoft launched its AI-powered Security Copilot for enterprise-wide incident detection and automated threat response. The platform integrates with Defender and Sentinel, reducing investigation time by nearly 40% in pilot deployments.

βœ… In June 2025, Palo Alto Networks introduced an autonomous SOC (Security Operations Center) framework using generative AI for real-time anomaly detection, predictive threat analysis, and automated playbook execution.

βœ… In May 2025, CrowdStrike expanded its Charlotte AI engine to include identity threat defense, enabling contextual risk scoring and proactive mitigation of credential-based attacks across hybrid IT environments.

Europe: Recent Industry Developments

βœ… In July 2025, SAP Security Labs (Germany) unveiled an AI-driven fraud and anomaly detection system for supply chain and financial data, aimed at reducing cyber-physical risks in European manufacturing sectors.

βœ… In June 2025, the UK's National Cyber Security Centre (NCSC) partnered with leading AI startups to build a national AI Threat Intelligence Hub, designed to track deepfake attacks, phishing automation, and emerging cybercrime networks.

βœ… In May 2025, France-based Thales introduced an AI-enhanced access control system combining behavioral biometrics and continuous authentication for high-security government and defense applications.

Asia-Pacific: Recent Industry Developments

βœ… In July 2025, Japan's NEC Corporation deployed advanced facial recognition and behavior-analysis AI at major airports to strengthen border security and crowd threat monitoring.

βœ… In June 2025, India launched its National AI-Driven Cyber Defense Grid to secure critical infrastructure, integrating predictive analytics and machine learning for early attack forecasts against energy and telecom networks.

βœ… In May 2025, South Korea's SK Shieldus introduced AI-powered cloud security orchestration, improving automated incident triaging for enterprises adopting multi-cloud architectures.

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➣ Top Industry Players:

Palo Alto Networks Inc., Trellix, Darktrace,Cyclance Inc., Fortinet, Inc., Nozomi Networks Inc., , ESET, s.r.o., ThreatMetrix, Inc. and Vectra AI, Inc..

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➣ Market Segments:

By Offering: Hardware, Software, Services

By Deployment Type: Cloud, On-Premise

By Security Type: Network Security, Endpoint Security, Application Security, Cloud Security

By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing

By Application: Identity and Access Management, Risk and Compliance Management, Data Loss Prevention, Unified Threat Management, Security and Vulnerability Management, Others

By End-User: BFSI, Retail, Defense, Manufacturing, Enterprise, Others

πŸ“Œ Have any Enquiry of This Report @ https://www.datamintelligence.com/enquiry/artificial-intelligence-ai-in-market?rk

β˜› Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

βœ… Competitive Landscape
βœ… Sustainability Impact Analysis
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βœ… Unmet Needs & Positioning, Pricing & Market Access Snapshots
βœ… Market Volatility & Emerging Risks Analysis
βœ… Quarterly Industry Report Updated
βœ… Live Market & Pricing Trends
βœ… Import-Export Data Monitoring

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Contact Us -

Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -

DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

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