Increasing Security Threats To Accelerate Growth In generative AI For Cybersecurity: A Key Factor Shaping the Future of the Generative AI in Cyber Security Market in 2025

What Are the Projections for the Size and Growth Rate of the Generative AI in Cyber Security Market?_x000D_
The market size of generative AI in cyber security has seen rapid growth recently. Projected expansion from $2.46 billion in 2024 to $3.03 billion in 2025 is anticipated, with a compound annual growth rate (CAGR) of 23.0%. This surge during the historic period results from a rise in cyber threat complexities, an increase in the magnitude of security data, the spread of IoT devices, a rising demand for automated threat detection, and the emergence of complex cyber-attacks._x000D_
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The market size of generative AI in cyber security is anticipated to exponentially increase over the coming years, expanding to $6.86 billion by 2029 with a compound annual growth rate (CAGR) of 22.7%. Factors driving growth in this projection period include the escalating uptake of cloud-based solutions, the surging need for real-time threat identification, heightened investment in AI-centric security solutions, the rise of advanced persistent threats (APTs), and the combination of AI with other cyber security tools. Key trends in the projected period involve the enlargement of AI in endpoint security, the application of AI to boost incident response, the combining of AI with blockchain for secure data handling, the expansion of AI-guided predictive analytics, along with the evolution of AI-enabled identity and access control solutions._x000D_
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What Are the Main Catalysts for Growth in the Generative AI in Cyber Security Market?_x000D_
The rise in security threats is likely to fuel the expansion of the generative AI in cyber security market. These threats, which exploit system vulnerabilities, resulting in unauthorized entry, loss of data, or other forms of damage, are on the rise due to the increasing intricacy of technology, the broadening of digital attack landscapes, and the ingenious stratagems employed by cybercriminals. By developing complex models that anticipate, detect, and react to probable risks through continuous data pattern analysis and threat simulations, generative AI in cybersecurity aids in addressing these threats. For example, in April 2023, the UK-based government entity, Department for Science, Innovation, and Technology reported that cybercrime impacted 11% of businesses and 8% of charities over the past year, but this figure rose to 26% for medium-sized businesses, 37% for large businesses, and 25% for high-income charities. Therefore, the mounting security threats are propelling the generative AI in cyber security market._x000D_
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Which Businesses Are at the Forefront of Generative AI in Cyber Security Market Development?_x000D_
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_x000D_
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What Are the Latest Innovations in the Generative AI in Cyber Security Market?_x000D_
Key businesses in the generative AI in cybersecurity market, such as cybersecurity consultants, are aiming to maintain their market position by creating innovative solutions. A cybersecurity advisor, usually driven by AI or machine learning, is an instrument or method built to streamline and bolster cybersecurity initiatives by automating assignments like threat identification, event response, and susceptibility governance. In August 2024, an AI-based cybersecurity consultant, powered by the generative AI of IBM, a technology company from the US, was revealed. The assistant, built on the IBM's Watsonx AI platform, is constructed to bolster threat identification and response. Its main attributes encompass accelerated threat probes via historical correlation assessment, amalgamation with IBM's established threat identification facilities, and a real-time support conversational AI machine. This solution improves threat regulation by harmonizing alerts from many sources and incessantly assimilating from specific client environments to provide more precise and efficient security findings._x000D_
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How Is the Generative AI in Cyber Security Market Segmented?_x000D_
The generative AI in cyber securitymarket covered in this report is segmented -_x000D_
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1) By Type: Threat Detection And Analysis, Adversarial Defense, Insider Threat Detection, Network Security, Other Types_x000D_
2) By Component: Hardware, Software, Services_x000D_
3) By Technology: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Reinforcement Learning (RL), Deep Neural Networks (DNNs), Natural Language Processing (NLP), Other Technologies_x000D_
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_x000D_
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Subsegments:_x000D_
1) By Threat Detection and Analysis: Malware Detection, Phishing Detection, Anomaly Detection, Zero-Day Threat Identification, Automated Incident Response_x000D_
2) By Adversarial Defense: Adversarial Attack Simulation, Defensive Machine Learning, Robust Model Training, Adversarial Input Detection, Secure Model Deployment_x000D_
3) By Insider Threat Detection: Behavioral Analysis, User And Entity Behavior Analytics (UEBA), Privileged Access Monitoring, Data Exfiltration Detection, Predictive Risk Scoring_x000D_
4) By Network Security: Traffic Anomaly Detection, Intrusion Detection And Prevention Systems (IDPS), Encrypted Traffic Analysis, Automated Firewall Rules, Secure Network Architecture Design_x000D_
5) By Other Types: Data Privacy and Compliance, Fraud Detection, Vulnerability Scanning, Secure Software Development, Automated Threat Hunting._x000D_
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Where Is the Generative AI in Cyber Security Market Growth Most Prominent?_x000D_
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._x000D_
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What Is Covered In The Generative AI in Cyber Security Global Market Report?_x000D_
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- Market Size Analysis: Analyze the Generative AI in Cyber Security Market size by key regions, countries, product types, and applications._x000D_
- Market Segmentation Analysis: Identify various subsegments within the Generative AI in Cyber Security Market for effective categorization._x000D_
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape._x000D_
- Growth Trends Analysis: Examine individual growth trends and prospects in the Market._x000D_
- Market Contribution: Evaluate contributions of different segments to the overall Generative AI in Cyber Security Market growth._x000D_
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers._x000D_
- Industry Challenges: Analyze challenges and risks affecting the Generative AI in Cyber Security Market._x000D_
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market._x000D_
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