U.S. Generative AI Cybersecurity Market Size, Share, Trends, Industry Analysis Report By Type (Threat Detection & Analysis, Adversarial Defense), By Technology, By End Use – Market Forecast, 2025–2034

The U.S. generative ai cybersecurity market size is expected to reach USD 17.02 billion by 2034, according to a new study by Polaris Market Research. The report “U.S. Generative AI Cybersecurity Market Share, Size, Trends, Industry Analysis Report By Type (Threat Detection & Analysis, Adversarial Defense), By Technology, By End Use; Market Forecast, 2025–2034” gives a detailed insight into current market dynamics and provides analysis on future market growth.

Generative AI cybersecurity can be defined as the deployment of advanced AI models that create adaptive defense mechanisms capable of anticipating, detecting, and mitigating evolving cyber risks. The increasing use of AI-driven threat simulation, which allows organizations to predict attack patterns and build more resilient defense strategies, drives the U.S. generative AI cybersecurity market growth. Cybersecurity systems can replicate potential intrusion scenarios, enabling faster detection of anomalies and minimizing the likelihood of breaches by leveraging generative models. This proactive approach is reshaping traditional defense frameworks, making them more dynamic and effective in addressing complex and constantly shifting cyber threats.

The generative AI cybersecurity landscape is driven by the integration of automated compliance and governance mechanisms into security systems. Generative AI is being applied to streamline compliance monitoring and enhance accountability across digital operations, as organizations face growing regulatory and data protection obligations. These solutions help detect irregularities in data handling, assess risks in real time, and ensure adherence to evolving regulatory standards with greater efficiency. The intersection of compliance automation with advanced cyber defense strengthens security postures and also boosts trust and transparency in the adoption of AI technologies across industries.

U.S. Generative AI Cybersecurity Market Report Highlights

In terms of type, in 2024, the threat detection segment held the largest market share. Its dominance is attributed to the essential need to identify and stop complex cyberattacks instantly.

Based on technology, the reinforcement learning segment is projected to grow the fastest during the forecast period. This is due to RL systems ability to constantly learn and adapt to evolving cyber threats on their own.

In terms of end use, the BFSI sector led the market in 2024 owing to its vast amounts of sensitive financial data, making it a prime target for attackers.

A few key players in the U.S. generative AI cybersecurity market include Cohesity, Inc.; CrowdStrike; Darktrace Holdings Limited; Google; IBM; Microsoft; Palo Alto Networks; SentinelOne; Musarubra US LLC (Trellix); TrojAI; and Zscaler, Inc.

Polaris Market Research has segmented the market report on the basis of type, technology, and end use:

By Type Outlook (Revenue, USD Billion, 2020–2034)

Threat Detection & Analysis

Adversarial Defense

Insider Threat Detection

Network Security

Others

By Technology Outlook (Revenue, USD Billion, 2020–2034)

Generative Adversarial Networks (GANs)

Variational Auto encoders (VAEs)

Reinforcement Learning (RL)

Deep Neural Networks (DNNs)

Natural Language Processing (NLP)

Others

By End Use (Revenue, USD Billion, 2020–2034)

Banking, Financial Services, And Insurance (BFSI)

Healthcare & Life Sciences

Government & Defense

Retail and E-Commerce

Manufacturing & Industrial

IT & Telecommunications

Energy & Utilities

Others Show more