Press release
Global Generative AI In Cyber Security Market: Key Trends, Market Share, Growth Drivers, and Forecast for 2025-2034
Generative AI In Cyber Security Market
The global generative AI in cyber security market reached a value of nearly $2.45 billion in 2024, having grown at a compound annual growth rate (CAGR) of 23.17% since 2019. The market is expected to grow from $2.45 billion in 2024 to $7.75 billion in 2029 at a rate of 25.83%. The market is then expected to grow at a CAGR of 25.26% from 2029 and reach $23.92 billion in 2034.
What strategies are being adopted by key players in the generative ai in cyber security market?
The key players in the market are adopting extensive strategies in the generative ai in cyber security market such as:
• Strengthening expertise through new program launches.
• Expanding capabilities with generative AI in cybersecurity.
• Improving portfolio via strategic partnerships.
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To take advantage of opportunities, the business research company suggests that generative ai in cyber security companies enhance offerings:
• Implementing quantum-safe security measures.
• Investing in AI security platforms for safe adoption.
• Offering generative AI courses for cybersecurity in financial services.
• Enhancing efficiency with AI-powered cybersecurity assistants.
• Transforming threat detection with generative AI engines.
• Overcoming data leak challenges with contextual data protection.
What Is Generative AI In Cyber Security: Market Overview?
Generative artificial intelligence (AI) in cybersecurity refers to the application of AI models, specifically generative models like generative pre-trained transformer, to enhance cybersecurity practices. These models can generate human-like text, simulating behavior, creating synthetic data, or predicting potential attack scenarios. Generative AI models can identify unusual patterns in network traffic, user behavior, or system activity that might indicate a cyberattack.
Generative AI is used extensively for threat detection, where it identifies patterns indicative of malicious activity, such as unauthorized access or data breaches. It is also employed to develop adversarial defenses, creating models that simulate potential attacks to test and improve system vulnerabilities. Insider threat detection leverages this technology to monitor and predict anomalous behavior within organizations, minimizing risks posed by employees or contractors. Network security applications utilize generative AI to maintain the integrity of communications, protect data transmissions and prevent intrusions. Complementary technologies, such as conventional machine learning and heuristic-based systems, are often integrated with generative AI to enhance its efficacy. Traditional cybersecurity solutions like firewalls and antivirus software act as substitutes but typically lack the predictive and adaptive capabilities of generative AI.
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Who Are The Major Companies Operating In The Global Generative AI In Cyber Security Market?
The top ten competitors in the market made up to 9.60% of the total market in 2023. Check Point Software Technologies Ltd was the largest competitor with a 1.73% share of the market, followed by:
• Microsoft Corp.
• NVIDIA Corporation.
• Amazon Web Services Inc.
• Palo Alto Networks Inc.
• McAfee Corp.
• BlackBerry Limited (Cylance).
• Cisco Systems Inc.
• International Business Machines Corporation.
• Fortinet Inc.
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