Generative AI in Cybersecurity Market Size, Share, By Offering (Software, and Services), By Generative Al-based Cybersecurity Solutions (Threat Detection & Intelligence Software, Risk Assessment Software, Exposure Management Software, Phishing Simulation & Prevention Software, Remediation Guidance Software, Threat Hunting Platforms, and Code Analysis software), By Cybersecurity Solutions, By Security Type, By End User (Generative Al-based Cybersecurity End User, and Cybersecurity for Generative AI End-Users), and By Region - Trends, Analysis and Forecast till 2034

Generative AI in cybersecurity market size was valued at USD 1.7 Billion in 2024 and is expected to reach USD 5.96 Billion by 2034, growing at a CAGR of 14.8%.

The intersection of AI and cybersecurity creates a new frontier in this digital defense. Because cyber threats are becoming more sophisticated, organizations embrace advanced technologies to fortify their security postures better. Specifically, generative AI, a subset of AI capable of creating new content, has now become a powerful tool in this battle. Various advantages are gained in cybersecurity applications because generative AI learns from big datasets and generates realistic data points. Its most typical application is in threat detection. By analyzing past events and drawing a pattern indicating malicious activity, generative AI can anticipate such an attack and take proactive countermeasures in advance. It, therefore, secures for an organization an advantage over newly emerging threats and reduces the impact of incidents.

Moreover, generative AI can simulate an attack. This includes synthetic data generated to carry out an attack that could happen in real life, and security teams will be able to work out their defenses by finding vulnerabilities. Refinement of response strategies to strengthen general resilience is thus enabled. Another way generative AI helps is by automating routine security activities, like vulnerability scanning and patch management. In this way, human analysts can perform the more complex or strategic work. One of the most promising applications of generative AI in cybersecurity is threat hunting. Traditional threat-hunting processes remain a very manual analysis of datasets, which is time-consuming and prone to errors. It can be taken over by generative AI to automatically detect aberrations and suspicious activities that human analysts may have failed to find. This enables threat hunting to become more efficient and effective.

However, generative AI use in cybersecurity has its challenges, too. One of the most critical concerns is misuse. The malicious actors will, too, be able to use generative AI when designing more sophisticated and evasive attacks. There are also ethical considerations to be taken care of, including AI algorithms that may be biased and privacy concerns for using sensitive data. Given the stated risks, organizations should be willing to put in place stronger governance and oversight frameworks over their generative AI systems, including full transparency on how data is to be used, AI decision-making, and regular auditing for potential bias. In all, generative AI marks a leap ahead for cybersecurity. It has the potential to enable an organization to find out about threats earlier, simulate various attack scenarios, and automate routine tasks- all to help harden defenses against the ever-evolving world of cyber threats. As technology evolves, it is expected to be critical in guarding critical infrastructure and sensitive data.

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Key Drivers of Target Market:

Real-time Threat Detection and Response

• An organization is supposed to use real-time threat detection and rapid response to reduce the effectiveness of a potential breach. Generative AI offers mechanisms of advanced threat detection with automated response, amplifying an organization's quick response to security incidents.

Increased Awareness and Adoption of AI Technologies

• Organizations are increasingly becoming aware of the benefits derived from AI in cybersecurity; therefore, more and more organizations are adopting technologies based on AI to keep pace with evolving cyber threats for which innovation in solutions will be required.

Restrains:

High Cost

• Some generative AI solutions require costly software and infrastructure to implement. SMEs may have limited budgets, which further influences their involvement in more advanced AI-driven cybersecurity solutions; integrating generative AI into an existing cybersecurity infrastructure is enormously complicated. It might be tough for organizations to align AI solutions with their systems and processes, requiring specialized skills and more resources.

Opportunities:

Customizable and Scalable Solutions

• There is high demand for custom scalable generative AI solutions based on specific requirements. Offering flexibility in the solutions to adapt to different security requirements will attract a larger base of customers, The improved capabilities of generative AI in advanced threat intelligence and predictive analytics open perspectives for delivering actionable insights and proactive security to organizations. This capability is bound to be a differentiator in a highly competitive environment.

The market is segmented based on By Offering, By Generative Al-based Cybersecurity Solutions, Cybersecurity Solutions, Security Type, End-user, and Region.

Offering Insights:

• Software: Segmentation refers to diverse software that addresses the integration of generative AI technologies into cybersecurity frameworks. It may include independent applications or integrated suites offering broad cybersecurity measures. These solutions use machine learning and generative algorithms to improve threat detection, response, and prevention capabilities. Examples include real-time threat analysis tools, automated incident response systems, and advanced threat modeling applications.
• Services: The segment covers professional services for organizations to implement and optimize generative AI technologies in cybersecurity. Services include consultation, system integration, customization, and ongoing support. Vendors sell expert services on configuring generative AI tools to organizational needs, personnel training, and integrating the AI systems into the security infrastructures of their customers. This may also involve continuous updates and maintenance to adapt to emerging cyber threats.

Generative AI-based Cybersecurity Solution insights

• Threat Detection & Intelligence Software: This software collects huge volumes of data using generative AI to detect hidden patterns indicative of imminent attacks. This software enhances threat intelligence by building predictive models for impending threats and vulnerabilities. These solutions will provide real-time alerts with in-depth insights that will greatly assist organizations in taking proactive steps toward mitigating cyber threats.
• Risk Assessment Software: Generative AI elevates risk assessment tooling by automatically constructing complex models to simulate potential security scenarios and the effects of various threats. Software specializing in these systems for organizations checking their vulnerability against any specific type of attack and predicting breaches in advance can prioritize risk management strategies based on AI-generated risk assessments.
• Exposure Management Software: Exposure Management software deals with this aspect: the identification and management of exposure points in an organization's IT infrastructure. Generative AI algorithms are run to scan network traffic, system configurations, and user behaviors for any trace of vulnerabilities in order to develop appropriate patches. The software gives insight into how the exposure points might be used and recommends their mitigation.
• Phishing Simulation & Prevention Software: This software uses generative AI to simulate phishing attacks and evaluate the efficiency of an organization's defense against phishing. It creates realistic phishing scenarios to help train employees and find weaknesses in security awareness. It also provides prevention measures and educational tools to improve overall phishing resilience.
• Remediation Guidance Software: It offers AI-powered recommendations for dealing with threats. Using generative AI, it analyzes the nature of the threats and supplies actionable guidance on the steps that should be taken to neutralize them. This will contribute to efficient organizational incident response by generating customized solutions according to the particular context of the threat.
• Threat Hunting Platforms: These are powered by generative AI in proactive hunts for hidden threats inside an organization's network. Through extensive data sets and hypothesizing on potential threats, these AI-driven threat-hunting tools help security teams uncover the threats and neutralize them before they can cause severe damage.
• Code Scanning Software: It is generative AI security audit software that analyzes source code for vulnerabilities that attackers can use. This software automates the code review by underlining potential security flaws and their improvements. This helps developers improve the security of their applications and reduce the risks of code-related vulnerabilities.

Cybersecurity Solutions insights:

• Generative AI Training Data Security Software: This is software that deals with the security of the data used to train generative AI. It ensures that training datasets are secure from unauthorized access and manipulation so as to avoid any breach that may compromise the integrity of the AI's learning process. The sensitive training data are safeguarded through encryption, controls of access, and monitoring.
• Security Software for Generative AI Models: This is security software for the generative AI models. It also includes measures necessary to protect models against tampering, reverse engineering, and unauthorized access. In this regard, the solution ensures that AI models remain confidential and act as intended to preserve their effectiveness in detecting and mitigating cybersecurity threats.
• Infrastructure Security Software for Generative AI: These solutions secure the infrastructure on which generative AI systems operate. This would include hardware, networking, and various environments to which the AI models have been deployed. In this way, the software addresses potential vulnerabilities within the infrastructure that an attacker might leverage to compromise the AI systems.
• Generative AI Application Security Software: This would involve imposing security features on applications to ensure that generative AI is safe from attacks. It includes methods of securing applications against specific attacks that may aim at taking advantage of possible vulnerabilities within the AI-driven functionalities. Protection will be accorded to the software layers interacting with generative AI models for overall application security.

Security Type insights:

• Generative AI Training Data Security Software: This class of security software, as explained earlier, protects the data used to train generative AI models. It has become vital in ensuring confidentiality and integrity by preventing unauthorized access to training datasets and manipulation.
• Security Software for Generative AI Models: Software security focuses on protecting the models themselves against various types of attack and unauthorized access. It assures operating models securely and protects them against tampering or misuse.
• Security Software of Generative AI Infrastructure: This security software is designed to provide security to the generative AI systems' infrastructures, including hardware and network components that might be vulnerable and threaten the stability and security of the AI systems.
• Generative AI Application Security Software: This segment emphasizes the security of applications developed over generative AI. It is a set of protection mechanisms against vulnerabilities in the AI application layer, which make the applications resistant to security threats.

End-User insights:

• Generative AI-Based Cybersecurity End-users: Organizations and individual users require cybersecurity measures to protect their IT environments with generative AI cybersecurity solutions. The end-users include large enterprises, small businesses, government agencies, and financial institutions seeking advanced AI-driven security measures.
• Cybersecurity for Generative AI End-Users: This segment involves users who center their activities on the cybersecurity of generative AI systems. These end-users are mainly concerned with the development, deployment, and management of generative AI technologies and look for specific cybersecurity solutions to secure their AI models, data, and infrastructure.

Regional insights:

• North America: has a high technology adoption rate and significant investment in cybersecurity innovation. Due to the presence of major tech companies and greater incidence of cyber threats, the North American region is a mature market that poses great demand for enterprise-advanced generative AI solutions.
• Europe: this remains a region with some of the most stringent data protection regulations, coupled with a high emphasis on cybersecurity. However, the European market is gaining momentum, with more customers starting to adopt generative AI technologies due to regulatory compliance and a focus on sensitive data protection.
• Asia-Pacific: this is the fastest-growing market, driven by rapid technological advancements, growing cyber threats, and increasing investments in cybersecurity infrastructure. Countries like China, India, and Japan are among those leading in deploying generative AI solutions to handle cybersecurity challenges.
• Latin America: This is an emerging market where awareness of cybersecurity issues is developing, and investments in technology are being made. Businesses across the region are looking forward to improving their cybersecurity posture, which will ensure increased adoption of generative AI solutions.
• Middle East & Africa: The developing region is investing significantly in developing its cybersecurity capabilities. Growth in the market is attributed to organizations worldwide investing in advanced generative AI solutions to help address the growing need to be better prepared, respond to threats from cyber-attacks, and protect critical infrastructure.

Generative AI in Cybersecurity Market Report Scope:

Attribute	Details
Market Size 2024	USD 1.7 Billion
Projected Market Size 2034	USD 5.96 Billion
CAGR Growth Rate	14.8%
Base year for estimation	2023
Forecast period	2024 – 2034
Market representation	Revenue in USD Billion & CAGR from 2024 to 2034
Market Segmentation	By Offering- Software, and Services By Generative Al-based Cybersecurity Solutions- Threat Detection & Intelligence Software, Risk Assessment Software, Exposure Management Software, Phishing Simulation & Prevention Software, Remediation Guidance Software, Threat Hunting Platforms, and Code Analysis software By Cybersecurity Solutions- Generative Al Training Data Security Software, Generative Al Model Security Software, Generative Al Infrastructure Security Software, and Generative Al Application Security Software By Security Type- Generative Al Training Data Security Software, Generative Al Model Security Software, Generative Al Infrastructure Security Software, and Generative Al Application Security Software By End User- Generative Al-based Cybersecurity End user, Cybersecurity for Generative Al End User
Regional scope	North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa
Report coverage	Revenue forecast, company share, competitive landscape, growth factors, and trends

Segments Covered in the Report:

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2024 to 2034. For the purpose of this study segmented the target market report based on Offering, Generative Al-based Cybersecurity Solutions, Cybersecurity Solutions, Security Type, End-user, and Region.

Segmentation:

By Offering:

• Software
• Services
•  Threat Detection & Intelligence Software

By Generative Al-based Cybersecurity Solutions:

• Risk Assessment Software
• Exposure Management Software
• Phishing Simulation & Prevention Software
• Remediation Guidance Software
• Threat Hunting Platforms
• Code Analysis software

By Cybersecurity Solutions:

• Generative Al Training Data Security Software
• Generative Al Model Security Software
• Generative Al Infrastructure Security Software
• Generative Al Application Security Software

By Security Type:

• Generative Al Training Data Security Software
• Generative Al Model Security Software
• Generative Al Infrastructure Security Software
• Generative Al Application Security Software

By End-user:

• Generative Al-based Cybersecurity End-Users
• Cybersecurity for Generative Al End-Users

By Region:

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • Israel
  • South Africa
  • Rest of Middle East & Africa

The key players operating the Generative AI in the Cybersecurity Market include Microsoft Corporation, IBM Corporation, Google Cloud, Amazon Web Services, Cisco Systems, Inc., Symantec, Palo Alto Networks, CrowdStrike , Fortinet , McAfee Corp., Trend Micro, FireEye , Darktrace , Splunk , Qualys.

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• In August 2024, Microsoft Introduced an AI-powered threat Detection Platform. Microsoft announced that it had released a new AI-powered threat detection platform, infusing the best generative AI algorithms into enhanced real-time threat detection and response. The platform promises better alerts and timeliness to improve enterprises' general cybersecurity posture.
• In July 2024, IBM bought a Generative AI-focused cybersecurity startup, and IBM acquired a cybersecurity startup that provided generative AI-based threat intelligence solutions. The deal is likely to extend IBM's cybersecurity AI, offering its customers more threat modeling and risk assessment capabilities.
• In June 2024, Google Cloud Launched Security Tools Powered by Generative AI. Google Cloud rolled out a package of generative AI-based security tools to secure cloud environments. The suite of tools zeros in on automated threat detection, vulnerability management, and real-time threat intelligence to harden the security of cloud-based applications and data.

• Microsoft Corporation
  • Company Overview
  • Product Portfolio
  • Key Highlights
  • Financial Performance
  • Business Strategies
• IBM Corporation
• Google Cloud
• Amazon Web Services
• Cisco Systems, Inc.
• Symantec
• Palo Alto Networks
• CrowdStrike
• Fortinet
• McAfee Corp.
• Trend Micro
• FireEye
• Darktrace
• Splunk
• Qualys

“*” marked represents similar segmentation in other categories in the respective section.

Research Objective and Assumption

• Research Objectives
• Assumptions
• Abbreviations

Market Preview

• Report Description
  • Market Definition and Scope
• Executive Summary
  • Market Snippet, By Offering
  • Market Snippet, By Generative Al-based Cybersecurity Solutions
  • Market Snippet, By Cybersecurity Solutions
  • Market Snippet, By Security Type
  • Market Snippet, By End-user
  • Market Snippet, By Region
• Opportunity Map Analysis

Market Dynamics, Regulations, and Trends Analysis

• Market Dynamics
  • Drivers
  • Restraints
  • Market Opportunities
• Market Trends
• Product Launch
• Merger and Acquisitions
• Impact Analysis
• PEST Analysis
• Porter’s Analysis

Market Segmentation, By Offering, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Services
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Threat Detection & Intelligence Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Risk Assessment Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Exposure Management Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Phishing Simulation & Prevention Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Remediation Guidance Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Threat Hunting Platforms
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Code Analysis software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Cybersecurity Solutions, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Generative Al Training Data Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Model Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Infrastructure Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Application Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Security Type, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Generative Al Training Data Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Model Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Infrastructure Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Generative Al Application Security Software
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By End-user, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Segment Trends
• Generative Al-based Cybersecurity End-Users
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years
• Cybersecurity for Generative Al End-Users
  • Overview
  • Market Size and Forecast (USD Bn), and Y-o-Y Growth (%), Forecast Period up to 10 Years

Market Segmentation, By Region, Forecast Period up to 10 Years, (USD Bn)

• Overview
  • Market Value and Forecast (USD Bn), and Share Analysis (%), Forecast Period up to 10 Years
  • Y-o-Y Growth Analysis (%), Forecast Period up to 10 Years
  • Regional Trends
• North America
  • Market Size and Forecast (USD Bn), By Offering, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Security Type, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By End-user, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Country, Forecast Period up to 10 Years
    • U.S
    • Canada
• Asia Pacific
  • Market Size and Forecast (USD Bn), By Offering, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Security Type, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By End-user, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Country, Forecast Period up to 10 Years
    • India
    • Japan
    • South Korea
    • China
    • Rest of Asia Pacific
• Europe
  • Market Size and Forecast (USD Bn), By Offering, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Security Type, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By End-user, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Country, Forecast Period up to 10 Years
    • UK
    • Germany
    • France
    • Russia
    • Italy
    • Rest of Europe
• Latin America
  • Market Size and Forecast (USD Bn), By Offering, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Security Type, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By End-user, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Country, Forecast Period up to 10 Years
    • Brazil
    • Mexico
    • Rest of Latin America
• Middle East and Africa
  • Market Size and Forecast (USD Bn), By Offering, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Generative Al-based Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Cybersecurity Solutions, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Security Type, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By End-user, Forecast Period up to 10 Years
  • Market Size and Forecast (USD Bn), By Country, Forecast Period up to 10 Years
    • GCC
    • Israel
    • South Africa
    • Rest of Middle East and Africa

Competitive Landscape

• Heat Map Analysis
• Company Profiles

• Microsoft Corporation
• IBM Corporation
• Google Cloud
• Amazon Web Services
• Cisco Systems, Inc.
• Symantec
• Palo Alto Networks
• CrowdStrike
• Fortinet
• McAfee Corp.
• Trend Micro
• FireEye
• Darktrace
• Splunk
• Qualys

The Last Word

• Future Impact
• About Us
• Contact