Generative AI Cybersecurity Market Size, Technology, Industry Cyber Threats | Top 5 Companies - Google LLC (Google Cloud), Microsoft Corporation, Palo Alto Networks, Inc, Check Point Software Technologies Ltd., Darktrace plc

DataM Intelligence has published a new research report on "Generative AI 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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M & A in Generative AI Cybersecurity Technology

Israeli cybersecurity company Cato Networks acquired AI security startup Aim Security to integrate advanced AI capabilities in securing generative AI tools and AI development lifecycles. This is part of Cato's strategy to boost its SASE platform with AI-driven security

Palo Alto Networks made a landmark acquisition of CyberArk for $25 billion to deep-dive into identity security and AI-driven security operations, reflecting the growing importance of AI in cybersecurity defense

Varonis acquired AI-driven email security company SlashNext for $150 million, expanding its AI-native threat detection solutions tailored for modern email threats (2025).

SentinelOne launched Purple AI, a generative AI-powered threat hunting platform that uses natural language processing for faster, more detailed threat analysis and response, enhancing SOC capabilities (2025).

Key Players:

IBM Corporation, Cisco Systems, Inc., Google LLC (Google Cloud), Microsoft Corporation, Palo Alto Networks, Inc., CrowdStrike Holdings, Inc., Fortinet, Inc., Check Point Software Technologies Ltd., Darktrace plc, SentinelOne, Inc.

Key Development:

In February 2025, US lawmakers proposed banning DeepSeek's chatbot on government devices over concerns it could give the Chinese government access to user data, echoing prior actions against apps like TikTok.

In November 2024, (*Accenture*) launched generative AI services to boost cyber and business resilience, including deepfake protection, AI-driven threat detection, and quantum-safe data security solutions for various industries.

Growth Forecast Projected:

The Global Generative AI Cybersecurity Market is anticipated to rise at a considerable rate during the forecast period, between 2025 and 2032. In 2024, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

Research Process:

Both primary and secondary data sources have been used in the global Generative AI Cybersecurity Market research report. During the research process, a wide range of industry-affecting factors are examined, including governmental regulations, market conditions, competitive levels, historical data, market situation, technological advancements, upcoming developments, in related businesses, as well as market volatility, prospects, potential barriers, and challenges.

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Key Segments:

By Offering: Solutions, Services

By Technology: Large Language Models (LLMS), Generative Adversarial Networks (GANS), Diffusion Models

By Application: Threat Detection and Prevention, Vulnerability Management, Security Automation, Data Security, Identity and Access Management, Others

By Deployment: Cloud, On-Premises, Hybrid

By End-user: Banking, Financial Services and Insurance (BFSI), Healthcare, IT & Telecom, Government, Retail, Manufacturing, Others

Regional Analysis for Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

Benefits of the Report:

Chapter 1: Lays the foundation by defining the scope of the report, highlighting core market segments across regions, product types, and applications. It delivers a clear snapshot of current market size, growth potential, and how the industry is expected to evolve in both the near and long term.

Chapter 2: Spotlights the most impactful market insights, unveiling the transformative trends and forces shaping the future of the industry.

Chapter 3: Provides a deep dive into the competitive landscape of , covering revenue shares, strategic initiatives, and notable mergers & acquisitions that are reshaping the market.

Chapter 4: Presents detailed company profiles of leading players featuring financial performance, product portfolios, profit margins, and key milestones that set them apart in the industry.

Chapters 5 & 6: Break down revenue analysis at both regional and country levels, offering precise data on market size, growth drivers, and expansion opportunities across global markets.

Chapter 7: Analyzes the market by product type, spotlighting segment-specific opportunities and helping stakeholders identify untapped, high-growth areas.

Chapter 8 :Explores the market through application-based segmentation, assessing demand across industries and pinpointing downstream sectors with the strongest potential for growth.

Chapter 9: Maps the industry's supply chain in detail, tracing upstream and downstream activities to provide clarity on value creation across the ecosystem.

Chapter 10: Wraps up with a concise summary of the report's key insights distilling the most critical findings and strategic takeaways for decision-makers and stakeholders.

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FAQ's

Q1: What is the current size of the Generative AI Cybersecurity Market?

A: The Generative AI Cybersecurity Market was valued at US$ 6.66 billion in 2024 and is forecasted to reach US$ 105.95 billion by 2032

Q2: How rapidly will the Market expand?

A: The Generative AI Cybersecurity market is projected to grow at a CAGR of 41.32% between 2025 and 2032.

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