Generative AI Cybersecurity Market Size, Share, Trends, Industry Analysis Report By Type (Threat Detection & Analysis, Adversarial Defense), By Technology, By End Use, By Region – Market Forecast, 2025–2034
Description
The generative AI cybersecurity market size is expected to reach USD 62.33 billion by 2034, according to a new study by Polaris Market Research. The report “Generative AI Cybersecurity Market Share, Size, Trends, Industry Analysis Report By Type (Threat Detection & Analysis, Adversarial Defense), By Technology, By End Use, By Region; 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 use of AI-driven generative models to build adaptive, predictive, and automated defenses against evolving digital threats. This market is driven by the growing integration of generative AI with proactive threat intelligence systems, enabling security frameworks to predict potential attack vectors before they materialize. Generative AI enables organizations to stay ahead of malicious actors by imitating complex attack scenarios and creating adaptive defense strategies. This proactive capability shifts cybersecurity from a reactive posture to a ready one, improving resilience and reducing vulnerabilities across increasingly dynamic digital environments.
The generative AI cybersecurity market is driven by the increasing focus on autonomous security operations, where AI models are leveraged to automate detection, analysis, and response. This approach reduces reliance on human intervention, thereby addressing challenges such as talent shortages and the overwhelming volume of security alerts. Generative AI strengthens security workflows by learning from past incidents, continuously improving its ability to recognize anomalies, and autonomously mitigating risks. This growing trend highlights the transition toward intelligent, self-learning systems that not only protect digital infrastructures but also optimize operational efficiency in managing cybersecurity threats.
Generative AI Cybersecurity Market Report Highlights
In terms of type, the threat detection & analysis segment led the market in 2024, as its proactive role in identifying zero-day threats and sophisticated attacks is indispensable for modern security operations.
Based on technology, the reinforcement learning segment is anticipated to grow the fastest during the forecast period, fueled by its unique ability to autonomously adapt to constantly evolving cyberattack strategies.
North America held the largest share in 2024, due to its mature digital infrastructure, early AI adoption, and significant enterprise cybersecurity spending.
The Asia Pacific market is expected to grow the fastest, driven by rapid digital transformation, increasing internet access, and a surge in cyber threats.
A few key players in the generative AI cybersecurity market include Cohesity, Inc.; CrowdStrike; Darktrace Holdings Limited; Google; IBM; Lakera Inc; Microsoft; Palo Alto Networks; SentinelOne; Musarubra US LLC (Trellix); and Zscaler, Inc.
Polaris Market Research has segmented the generative AI cybersecurity market report on the basis of type, technology, end use, and region:
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
By Regional Outlook (Revenue, USD Billion, 2020–2034)
North America
U.S.
Canada
Europe
Germany
UK
France
Italy
Spain
Russia
Netherlands
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Indonesia
Malaysia
Vietnam
Australia
Rest of Asia Pacific
Latin America
Argentina
Brazil
Mexico
Rest of Latin America
Middle East & Africa
UAE
Saudi Arabia
Israel
South Africa
Rest of Middle East & Africa
Generative AI cybersecurity can be defined as the use of AI-driven generative models to build adaptive, predictive, and automated defenses against evolving digital threats. This market is driven by the growing integration of generative AI with proactive threat intelligence systems, enabling security frameworks to predict potential attack vectors before they materialize. Generative AI enables organizations to stay ahead of malicious actors by imitating complex attack scenarios and creating adaptive defense strategies. This proactive capability shifts cybersecurity from a reactive posture to a ready one, improving resilience and reducing vulnerabilities across increasingly dynamic digital environments.
The generative AI cybersecurity market is driven by the increasing focus on autonomous security operations, where AI models are leveraged to automate detection, analysis, and response. This approach reduces reliance on human intervention, thereby addressing challenges such as talent shortages and the overwhelming volume of security alerts. Generative AI strengthens security workflows by learning from past incidents, continuously improving its ability to recognize anomalies, and autonomously mitigating risks. This growing trend highlights the transition toward intelligent, self-learning systems that not only protect digital infrastructures but also optimize operational efficiency in managing cybersecurity threats.
Generative AI Cybersecurity Market Report Highlights
In terms of type, the threat detection & analysis segment led the market in 2024, as its proactive role in identifying zero-day threats and sophisticated attacks is indispensable for modern security operations.
Based on technology, the reinforcement learning segment is anticipated to grow the fastest during the forecast period, fueled by its unique ability to autonomously adapt to constantly evolving cyberattack strategies.
North America held the largest share in 2024, due to its mature digital infrastructure, early AI adoption, and significant enterprise cybersecurity spending.
The Asia Pacific market is expected to grow the fastest, driven by rapid digital transformation, increasing internet access, and a surge in cyber threats.
A few key players in the generative AI cybersecurity market include Cohesity, Inc.; CrowdStrike; Darktrace Holdings Limited; Google; IBM; Lakera Inc; Microsoft; Palo Alto Networks; SentinelOne; Musarubra US LLC (Trellix); and Zscaler, Inc.
Polaris Market Research has segmented the generative AI cybersecurity market report on the basis of type, technology, end use, and region:
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
By Regional Outlook (Revenue, USD Billion, 2020–2034)
North America
U.S.
Canada
Europe
Germany
UK
France
Italy
Spain
Russia
Netherlands
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Indonesia
Malaysia
Vietnam
Australia
Rest of Asia Pacific
Latin America
Argentina
Brazil
Mexico
Rest of Latin America
Middle East & Africa
UAE
Saudi Arabia
Israel
South Africa
Rest of Middle East & Africa
Table of Contents
126 Pages
- Chapter 1.Introduction
- 1.1Report Description
- 1.1.1Objectives of the Study
- 1.1.2Market Scope
- 1.1.3Assumptions
- 1.2Stakeholders
- Chapter 2.Executive Summary
- Chapter 3.Research Methodology
- 3.1Overview
- 3.1.1Data Mining
- 3.2Data Sources
- 3.2.1Primary Sources
- 3.2.2Secondary Sources
- Chapter 4.Europe CRISPR & Cas Genes Market Insights
- 4.1CRISPR & Cas Genes – Industry snapshot
- 4.1Europe CRISPR & Cas Genes Market Dynamics
- 4.1.1Drivers and Opportunities
- 4.1.1.1Innovations in CRISPR technologies
- 4.1.1.2Applicability in varied areas
- 4.1.2Restraints and Challenges
- 4.1.2.1Inherent Disadvantages
- 4.2Porter’s Five Forces Analysis
- 4.2.1Bargaining Power of Suppliers (Moderate)
- 4.2.2Threats of New Entrants: (Low)
- 4.2.3Bargaining Power of Buyers (Low to Medium)
- 4.2.4Threat of Substitute (Low)
- 4.2.5Rivalry among existing firms (Medium to High)
- 4.3PEST Analysis
- 4.4Europe CRISPR & Cas Genes Market Industry trends
- 4.5COVID-19 Impact Analysis
- Chapter 5.Contact Point Information
- 5.1Contact Point Information for obtaining a license to use the technology
- 5.1.1Wellcome Trust Sanger Institute, Cambridge, UK
- 5.1.2The Innovative Genomics Initiative, California
- 5.1.3Thermo Fisher Scientific, Waltham, Massachusetts
- 5.1.4the Broad Institute and Whitehead Institute
- 5.1.5ERS Genomics Ltd
- 5.1.6Merck KGaA
- 5.1.7Oxford Genetics Limited
- 5.1.8Caribou Biosciences, Inc.
- 5.1.9CRISPR Therapeutics
- 5.1.10Sherlock Biosciences
- 5.1.11UC Berkeley
- 5.2The contract amount for genome editing technology
- Chapter 6.Europe CRISPR & Cas Genes Market Assessment by Product & Services
- 6.1Introduction
- 6.2Product
- 6.2.1Kits & Enzymes
- 6.2.1.1Vector-based Cas
- 6.2.1.2DNA-free Cas
- 6.2.2Libraries
- 6.2.3Design Tool
- 6.2.5Other Products
- 6.3Services
- 6.3.1Cell Line Engineering
- 6.3.2gRNA Design
- 6.3.3Microbial Gene Editing
- 6.3.4DNA Synthesis
- Chapter 7.Europe CRISPR & Cas Genes Market Assessment by Application
- 7.1Introduction
- 7.2Biomedical
- 7.3Agricultural
- Chapter 8.Europe CRISPR & Cas Genes Market Assessment by End-Use
- 8.1Introduction
- 8.2Biotechnology & Pharmaceutical Companies
- 8.3Academics & Government Research Institutes
- 8.4Contract Research Organizations (CROs)
- Chapter 9.Europe CRISPR & Cas Genes Market Assessment by Country
- 9.1Introduction
- 9.2Europe CRISPR & Cas Genes Market – Europe
- 9.2.1Europe CRISPR & Cas Genes Market – Germany
- 9.2.2Europe CRISPR & Cas Genes Market – UK
- 9.2.3Europe CRISPR & Cas Genes Market – France
- 9.2.4Europe CRISPR & Cas Genes Market – Italy
- 9.2.5Europe CRISPR & Cas Genes Market – Spain
- 9.2.6Europe CRISPR & Cas Genes Market – Netherlands
- 9.2.7Europe CRISPR & Cas Genes Market – Austria
- Chapter 10.Competitive Landscape
- 10.1Product Launch & Collaborations Both Are The Best Adopted Strategies by the Companies
- 10.2Product Launch
- 10.3Partnerships/Collaborations/Agreements/Exhibitions
- Chapter 11.The Company Profiles
- 11.1Addgene
- 11.1.1Business Overview
- 11.1.2Financial Snapshot
- 11.1.3Products and Services
- 11.2AstraZeneca
- 11.2.1Business Overview
- 11.2.2Financial Snapshot
- 11.2.3Products and Services
- 11.2.4Recent Developments
- 11.3Caribou Biosciences, Inc.
- 11.3.1Business Overview
- 11.3.2Financial Snapshot
- 11.3.3Products and Services
- 11.3.4Recent Developments
- 11.4Cellectis
- 11.4.1Business Overview
- 11.4.2Financial Snapshot
- 11.4.3Products and Services
- 11.4.4Recent Developments
- 11.5CRISPR Therapeutics
- 11.5.1Business Overview
- 11.5.2Financial Snapshot
- 11.5.3Products and Services
- 11.5.4Recent Developments
- 11.6Danaher Corporation
- 11.6.1Business Overview
- 11.6.2Financial Snapshot
- 11.6.3Products and Services
- 11.6.4Recent Developments
- 11.7Editas Medicine, Inc.
- 11.7.1Business Overview
- 11.7.2Financial Snapshot
- 11.7.3Products and Services
- 11.8Horizon Discovery Group Plc
- 11.8.1Business Overview
- 11.8.2Financial Snapshot
- 11.8.3Products and Services
- 11.8.4Recent Developments
- 11.9Mammoth Biosciences
- 11.9.1Business Overview
- 11.9.2Financial Snapshot
- 11.9.3Products and Services
- 11.10New England BioLabs
- 11.10.1Business Overview
- 11.10.2Financial Snapshot
- 11.10.3Products and Services
Pricing
Currency Rates
Questions or Comments?
Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.