Generative AI Cybersecurity Market - Size, Industry Share, Growth Trends and Forecasts (2025 - 2032)

By Offering:

Based on offering, the market is segmented into solutions and services.

Trends in the offering:

• Increasing trend in adoption of generative AI-based cybersecurity solutions for applications, including threat detection and prevention, vulnerability management, incident response, malware analysis, and threat simulation, is driving thegenerative AI cybersecurity market growth.
• Rising technological advancements associated with AI and growing demand for robust cybersecurity solutions are further driving the generative AI cybersecurity market expansion.

The solutions segment accounted for the largest revenue share in the generative AI cybersecurity market share in 2024, and it is anticipated to register a substantial CAGR during the forecast period.

• Generative AI cybersecurity solutions are primarily used for applications including threat detection and prevention, vulnerability management, incident response, malware analysis and threat simulation, and other related applications.
• Generative AI can create realistic attack simulations, analyze vast datasets for threat detection, automate tasks, and even generate malicious code, in turn offering advanced cybersecurity solutions.
• Moreover, generative AI models can analyze massive amounts of data to identify anomalies and patterns associated with cyber threats, including malware, phishing attempts, and unauthorized access.
• Additionally, generative AI-based cybersecurity solutions can also automate routine tasks such as blocking threats and recovering data, which further enables security teams to focus on strategic decision-making.
• According to the generative AI cybersecurity market analysis, the above benefits of generative AI-based cybersecurity solutions are further driving its adoption among business enterprises, in turn propelling the market growth.

By Security Type:

Based on security type, the market is segmented into network security, endpoint security, application security, cloud security, data security, fraud detection/anti-fraud, threat intelligence, and others.

Trends in the security type:

• Increasing trends in deployment of network security solutions to protect an organization’s network integrity and accessibility from unauthorized access, misuse, or cyberattacksis driving the generative AI cybersecurity market growth.
• There is a rising trend towards the adoption of endpoint securitysolutions, due to its numerous benefits, including advanced threat protection, protection of all endpoints/devices within a network, and others, which is expected to drive the generative AI cybersecurity market expansion.

Network security segment accounted for the largest revenue share of 27.66% in the overall generative AI cybersecurity market share in 2024.

• Network security focuses on protecting a computer network's integrity and accessibility from unauthorized access, misuse, or cyberattacks.
• Network security aims to protect the integrity, confidentiality, and availability of data and resources within the network. This involves securing both the network infrastructure as well as the data transmitted over it.
• Moreover, generative AI models can be trained on vast datasets of network traffic to identify unusual patterns and behaviours indicative of cyberattacks.
• Similarly, generative AI can also automate the process of identifying, creating, and testing security patches for software vulnerabilities.
• Additionally, generative AI can analyze email content, sender behaviour, and other factors to identify phishing attempts and prevent data breaches, in turn offering enhanced threat detection of an organization’s network infrastructure.
• Thus, according to the generative AI cybersecurity market analysis, the rising adoption of generative AI-based cybersecurity solutions for enhancing network security is further propelling the generative AI cybersecurity market trends.

The endpoint security segment is anticipated to register a significant CAGR during the forecast period.

• Endpoint security focuses on protecting devices such as servers, workstations, and other devices from malicious threats or cyberattacks.
• Similarly, endpoint security helps business enterprises in protecting devices that employees utilize for work purposes or servers that are deployed on a network or in the cloud from cyber threats.
• Moreover, generative AI enhances endpoint security by boosting threat detection, automating security tasks, and improving incident response.
• Further, the integration of generative AI for endpoint security solutions provides a wide range of benefits such as advanced threat protection, protection of all endpoints/devices within a network, secure remote working, and increased operational efficiency, among others.
• Consequently, as per analysis, the increasing adoption of endpoint securitysolutions is anticipated to boost the generative AI cybersecurity market size during the forecast period.

By End-User:

Based on end user, the market is segmented into BFSI, IT & telecommunication, healthcare & life sciences, government & defense, retail & e-commerce, manufacturing, energy & utilities, automotive, and others.

Trends in the end user:

• The rising utilization of generative AI-based security solutions in the BFSI industry for advanced threat protection, improved protection of financial transactions, and compliance with regulatory standardsis driving the generative AI cybersecurity market demand.
• Increasing adoption of generative AI-based security solutions in the government & defense sector for encrypting, monitoring, and securing critical and sensitive data to prevent unauthorized access and data breaches is driving the generative AI cybersecurity market demand.

BFSI segment accounted for the largest revenue in the overall market in 2024.

• BFSI (banking, financial services, and insurance) firms are prime targets for cyberattacks, attributed to the sensitive nature of their transactions and data.
• Generative AI-based cybersecurity solutions are often used in BFSI sector for protecting the firm’s network infrastructure, systems, and devices from malware, phishing, and other cyber threats.
• Moreover, generative AI is capable of simulating fraudulent activities and behaviours for training and improving fraud detection models for BFSI firms. It can also help in proactively identifying and mitigating potential threats and vulnerabilities while improving security and compliance.
• Additionally, the adoption of generative AI-based cybersecurity solutions in BFSI sector offers several benefits such as advanced threat protection, improved protection of financial transactions, compliance with regulatory standards, and others.
• For instance, according to the Federal Reserve Board, there are approximately 2,160 large commercial banks in the United States as of March 2025. These banks have consolidated assets of USD 300 million or more, with several branches in the U.S as well as other countries.
• Consequently, the growing BFSI sector and rising adoption of advanced security solutions in BFSI firms are proliferating the generative AI cybersecurity market size.

The government & defense segment is anticipated to register a significant CAGR during the forecast period.

• Government & defense organizations handle sensitive information, including personal data of citizens, classified information, and national security data, among others.
• Advanced cybersecurity solutions are primarily used in the government & defense sector to help government organizations in encrypting, monitoring, and securing critical and sensitive data to prevent unauthorized access and data breaches.
• Moreover, generative AI is transforming cybersecurity in the government and defense sector by enhancing threat detection, automating responses, and improving training through realistic simulations. It helps in analyzing vast datasets to identify patterns, predict attack scenarios, and generate defensive strategies.
• Therefore, the increasing adoption of generative AI-based security solutions in government & defense sectoris anticipated to boost the generative AI cybersecurity market trends during the forecast period.