TLDR: A new report from ResearchAndMarkets.com projects the global Generative AI Cybersecurity market to grow at a Compound Annual Growth Rate (CAGR) of 26.5%, expanding from an estimated USD 8.65 billion in 2025 to USD 35.50 billion by 2031. The growth is driven by increasing AI supply chain attacks and the demand for secure AI execution, while also addressing challenges posed by malicious actors leveraging generative AI for sophisticated cyber threats. Risk assessment software and Static Application Security Testing (SAST) are identified as key growth segments.
DUBLIN – ResearchAndMarkets.com has unveiled its comprehensive ‘Generative AI Cybersecurity Market by Generative AI-based Cybersecurity (SIEM, Risk Assessment, Threat Intelligence), Cybersecurity Software for Generative AI (AI Model Security), Security Type (Data Encryption, Access Control) – Global Forecast to 2031’ report, offering an in-depth analysis of this rapidly evolving sector. The report forecasts a robust expansion for the generative AI cybersecurity market, projecting a Compound Annual Growth Rate (CAGR) of 26.5% over the forecast period. The market is expected to surge from an estimated USD 8.65 billion in 2025 to a substantial USD 35.50 billion by 2031.
The significant market growth is primarily fueled by a rise in AI supply chain attacks, which increasingly target third-party model repositories, APIs, and plugins. This trend is compelling enterprises to adopt advanced security measures such as model provenance verification and code signing to safeguard their AI assets. Furthermore, the escalating use of ‘model-as-a-service’ in multi-tenant cloud environments is driving a heightened demand for confidential computing and secure enclave execution to protect sensitive AI workloads.
However, the market also faces considerable challenges. Malicious actors are increasingly exploiting generative AI capabilities to automate sophisticated phishing campaigns, create convincing deepfakes, and develop advanced malware, posing a dual-use dilemma that forces cybersecurity vendors to continuously innovate their defensive strategies.
Key segments within the generative AI cybersecurity ecosystem are poised for significant growth. Risk assessment software is projected to record the highest CAGR, playing a critical role in proactive threat prevention and compliance. Generative AI enhances traditional risk assessment by simulating complex attack scenarios, predicting cascading impacts, and identifying latent vulnerabilities that might otherwise be overlooked. Static Application Security Testing (SAST) is also expected to hold a dominant market share as AI-centric code security becomes mission-critical. Additionally, the generative AI application security segment is estimated to hold the largest market share in 2025, driven by the rapid enterprise deployment of GenAI-powered applications like chatbots and copilots. Network security is also anticipated to command a large share, propelled by the exponential growth in data traffic and cloud connectivity.
Geographically, North America is estimated to account for the largest share of the generative AI cybersecurity market in 2025, attributed to its mature technology ecosystem, high enterprise adoption rates, and early engagement in AI governance. The region benefits from a concentration of leading cybersecurity vendors, robust venture capital activity, and high-value industries rapidly integrating AI-driven security solutions. Meanwhile, the Asia Pacific region is expected to witness rapid market growth, driven by innovation, emerging technologies, digital transformation, and increasing cloud adoption.
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The report provides comprehensive insights into market dynamics, offers case study analyses, delves into technology insights, and examines the evolving regulatory landscape, making it a crucial resource for stakeholders navigating the generative AI cybersecurity domain.
