Key Factor Supporting Generative AI in Cyber Security Market Development in 2025: Increasing Security Threats To Accelerate Growth In generative AI For Cybersecurity

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How Large Will the Generative AI in Cyber Security Market Size By 2025?
The industry of generative AI in cyber security has experienced significant expansion in the recent past. Its market size is projected to escalate from $2.46 billion in 2024 to $3.03 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 23.0%. The historical growth trend is due to factors such as a surge in complexity of cyber threats, an increasing amount of security data, widespread use of IoT devices, greater demand for automated threat detection, and the developing sophistication of cyber-attacks.

How Big Is the Generative AI in Cyber Security Market Size Expected to Grow by 2029?
Anticipated to witness remarkable growth in the ensuing years, the size of the generative AI in cyber security market is predicted to reach $6.86 billion in 2029, representing a compound annual growth rate (CAGR) of 22.7%. Factors contributing to the estimated growth during the forecast period include the escalating trend of adopting cloud-based services, increased requirements for real-time threat detection, substantial investments in AI-based security solutions, the rise in advanced persistent threats (APTs), and the amalgamation of AI with other cybersecurity apparatus. Some of the notable trends during the projection period include the broadening of AI in endpoint security, the utilization of AI to boost incident response, the merger of AI with blockchain for secure data management, the expansion of AI-centric predictive analytics, and the evolution of AI-enabled identity and access management solutions.

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Which Key Market Drivers Powering Generative AI in Cyber Security Market Expansion and Growth?
Growing security risks are set to boost the expansion of the generative AI in cybersecurity market. These security risks that exploit vulnerabilities in systems, leading to unauthorized access and potential data loss, are on the rise due to the complexity of technology, wider digital attack surfaces, and cunning strategies used by cybercriminals. Generative AI in cybersecurity mitigates such risks by developing sophisticated models that predict, detect, and counter possible risks by constantly analyzing data patterns and simulating threats. For example, the Department for Science, Innovation, and Technology, a UK governmental organization, reported in April 2023 that cybercrime had impacted 11% of businesses and 8% of charities over the previous year. This figure increased to 26% of mid-sized businesses, 37% of large businesses, and 25% of high-income charities. Hence, rising security risks are fueling the growth of the generative AI in cybersecurity market.

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Which Fast-Growing Trends Are Poised to Disrupt the Generative AI in Cyber Security Market?
Key players in the generative AI for cybersecurity market are striving to maintain their market dominance by innovating and launching advanced solutions, such as cybersecurity assistant tools. These systems, often powered by AI or machine learning, are intended to strengthen cybersecurity measures by automating various tasks, including threat detection, incident response, and vulnerability management. For example, in August 2024, the US-based tech company International Business Machines Corporation (IBM) launched a sophisticated cybersecurity assistant powered by generative AI. Utilizing IBM's Watsonx AI platform, this tool aims to bolster threat detection and response processes. Its unique features comprise accelerated threat investigations via historical correlation analysis, integration with IBM's existing threat detection services, and a dedicated AI conversational engine for instant support. By amalgamating alerts from various sources and constantly learning from dedicated client environments, this solution offers more precise security insights, thus improving threat management.

What Are the Emerging Segments in the Generative AI in Cyber Security Market?
The generative AI in cyber securitymarket covered in this report is segmented -

1) By Type: Threat Detection And Analysis, Adversarial Defense, Insider Threat Detection, Network Security, Other Types
2) By Component: Hardware, Software, Services
3) By Technology: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Other Technologies
4) By End-Use: Banking, Financial Services, And Insurance (BFSI), Healthcare And Life Sciences, Government And Defense, Retail And E-commerce, Manufacturing And Industrial, Information Technology (IT) And Telecommunications, Energy And Utilities, Other End-Uses

Subsegments:
1) By Threat Detection and Analysis: Malware Detection, Phishing Detection, Anomaly Detection, Zero-Day Threat Identification, Automated Incident Response
2) By Adversarial Defense: Adversarial Attack Simulation, Defensive Machine Learning, Robust Model Training, Adversarial Input Detection, Secure Model Deployment
3) By Insider Threat Detection: Behavioral Analysis, User And Entity Behavior Analytics (UEBA), Privileged Access Monitoring, Data Exfiltration Detection, Predictive Risk Scoring
4) By Network Security: Traffic Anomaly Detection, Intrusion Detection And Prevention Systems (IDPS), Encrypted Traffic Analysis, Automated Firewall Rules, Secure Network Architecture Design
5) By Other Types: Data Privacy and Compliance, Fraud Detection, Vulnerability Scanning, Secure Software Development, Automated Threat Hunting.

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Who Are the Global Leaders in the Generative AI in Cyber Security Market?
Major companies operating in the generative AI in cyber security market are Microsoft Corporation, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., NVIDIA Corporation, Palo Alto Networks Inc., Fortinet Inc., LexisNexis, CrowdStrike Holdings Inc., Palantir Technologies Inc., Trend Micro Inc., Elastic NV, Proofpoint Inc., Rapid7, Tanium, Darktrace plc, Sumo Logic Inc., SentinelOne Inc., LogRhythm Inc., Snyk, Vectra AI inc., Aqua Security Software Ltd., Illumio, Sophos Ltd., Acalvio Technologies

Which are the Top Profitable Regional Markets for the Generative AI in Cyber Security Industry?
North America was the largest region in the generative AI in cyber security market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in cyber security market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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