This report describes and explains the generative AI in cyber security market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.
The global generative AI in cyber security market reached a value of nearly $2.45 billion in 2024, having grown at a compound annual growth rate (CAGR) of 23.17% since 2019. The market is expected to grow from $2.45 billion in 2024 to $7.75 billion in 2029 at a rate of 25.83%. The market is then expected to grow at a CAGR of 25.26% from 2029 and reach $23.92 billion in 2034.
Growth in the historic period resulted from the increase in cyber-attacks, exponential rise in data availability, growth of cloud computing and evolution of cybersecurity infrastructure. Factors that negatively affected growth in the historic period were absence of strategy and regulations.
Going forward, the remote work revolution, rising costs of data breaches and shortage of skilled cybersecurity professionals will drive the growth. Factor that could hinder the growth of the generative AI in cyber security market in the future include high implementation costs.
The global generative AI in cyber security market is fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 9.60% of the total market in 2023. Check Point Software Technologies Ltd was the largest competitor with a 1.73% share of the market, followed by Microsoft Corp with 1.16%, NVIDIA Corporation with 1.05%, Amazon Web Services Inc with 1.00%, Palo Alto Networks Inc with 0.92%, McAfee Corp with 0.84%, BlackBerry Limited (Cylance) with 0.83%, Cisco Systems Inc with 0.78%, International Business Machines Corporation with 0.70% and Fortinet Inc with 0.59%.
North America was the largest region in the generative AI in cyber security market, accounting for 41.68% or $1.02 billion of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in cyber security market will be Asia Pacific and North America where growth will be at CAGRs of 27.53% and 26.27% respectively. These will be followed by Eastern Europe and Middle East where the markets are expected to grow at CAGRs of 25.84% and 24.67% respectively.
The generative AI in cyber security market is segmented by type into threat detection and analysis, adversarial defense, insider threat detection, network security and other types. The threat detection and analysis market was the largest segment of the generative AI in cyber security market segmented by type, accounting for 37.51% or $922.53 million of the total in 2024. Going forward, the network security segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by type, at a CAGR of 29.06% during 2024-2029.
The generative AI in cyber security market is segmented by component into hardware, software and services. The software market was the largest segment of the generative AI in cyber security market segmented by component, accounting for 59.91% or $1.47 billion of the total in 2024. Going forward, the software segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by component, at a CAGR of 27.44% during 2024-2029.
The generative AI in cyber security market is segmented by technology into generative adversarial networks (GANs), variational autoencoders (VAEs), reinforcement learning (RL), deep neural networks (DNNs), natural language processing (NLP) and other technologies. The generative adversarial networks (GANs) market was the largest segment of the generative AI in cyber security market segmented by technology, accounting for 28.92% or $711.36 million of the total in 2024. Going forward, the reinforcement learning (RL) segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by technology, at a CAGR of 30.19% during 2024-2029.
The generative AI in cyber security market is segmented by end-use into banking, financial services and insurance (BFSI), healthcare and life sciences, government and defense, retail and e-commerce, manufacturing and industrial, information technology (IT) and telecommunications, energy and utilities and other end-uses. The banking, financial services and insurance (BFSI) market was the largest segment of the generative AI in cyber security market segmented by end-use, accounting for 30.06% or $739.31 million of the total in 2024. Going forward, the healthcare and life sciences segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by end-use, at a CAGR of 30.86% during 2024-2029.
The top opportunities in the generative AI in cyber security market segmented by type will arise in the threat detection and analysis segment, which will gain $2.05 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by component will arise in the software segment, which will gain $3.47 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by technology will arise in the generative adversarial networks (GANs) segment, which will gain $1.64 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by end-use will arise in the banking, financial services and insurance (BFSI) segment, which will gain $1.47 billion of global annual sales by 2029. The generative AI in cyber security market size will gain the most in the USA at $2.08 billion.
Market-trend-based strategies for the generative AI in cyber security market include focus on quantum-safe security measures, focus on investing in AI security platforms for safe adoption, focus on generative AI course for cybersecurity in financial services, focus on AI-powered cybersecurity assistants enhances efficiency and accuracy, focus on gen AI engines transform cybersecurity threat detection and focus on overcoming data leak challenges with contextual data protection (CDP).
Player-adopted strategies in the generative AI in cyber security market include focus on strengthening business expertise through new program launches, focus on expanding capabilities through new openings of generative AI in cyber security, focus on improving portfolio through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in cyber security companies to focus on real-time threat detection and quantum-safe security, focus on securing generative AI tools, focus on AI-driven cybersecurity solutions in finance, focus on integrating generative AI for enhanced threat detection, focus on contextual data protection solutions, focus on network security solutions, focus on software solutions in generative AI for cybersecurity, focus on reinforcement learning in generative AI for cybersecurity, expand in emerging markets, continue to focus on developed markets, provide competitively priced offerings, continue to use B2C promotions, participate in trade shows and events and focus on healthcare and life sciences in generative AI for cybersecurity.
The global generative AI in cyber security market reached a value of nearly $2.45 billion in 2024, having grown at a compound annual growth rate (CAGR) of 23.17% since 2019. The market is expected to grow from $2.45 billion in 2024 to $7.75 billion in 2029 at a rate of 25.83%. The market is then expected to grow at a CAGR of 25.26% from 2029 and reach $23.92 billion in 2034.
Growth in the historic period resulted from the increase in cyber-attacks, exponential rise in data availability, growth of cloud computing and evolution of cybersecurity infrastructure. Factors that negatively affected growth in the historic period were absence of strategy and regulations.
Going forward, the remote work revolution, rising costs of data breaches and shortage of skilled cybersecurity professionals will drive the growth. Factor that could hinder the growth of the generative AI in cyber security market in the future include high implementation costs.
The global generative AI in cyber security market is fragmented, with a large number of small players operating in the market. The top ten competitors in the market made up to 9.60% of the total market in 2023. Check Point Software Technologies Ltd was the largest competitor with a 1.73% share of the market, followed by Microsoft Corp with 1.16%, NVIDIA Corporation with 1.05%, Amazon Web Services Inc with 1.00%, Palo Alto Networks Inc with 0.92%, McAfee Corp with 0.84%, BlackBerry Limited (Cylance) with 0.83%, Cisco Systems Inc with 0.78%, International Business Machines Corporation with 0.70% and Fortinet Inc with 0.59%.
North America was the largest region in the generative AI in cyber security market, accounting for 41.68% or $1.02 billion of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the generative AI in cyber security market will be Asia Pacific and North America where growth will be at CAGRs of 27.53% and 26.27% respectively. These will be followed by Eastern Europe and Middle East where the markets are expected to grow at CAGRs of 25.84% and 24.67% respectively.
The generative AI in cyber security market is segmented by type into threat detection and analysis, adversarial defense, insider threat detection, network security and other types. The threat detection and analysis market was the largest segment of the generative AI in cyber security market segmented by type, accounting for 37.51% or $922.53 million of the total in 2024. Going forward, the network security segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by type, at a CAGR of 29.06% during 2024-2029.
The generative AI in cyber security market is segmented by component into hardware, software and services. The software market was the largest segment of the generative AI in cyber security market segmented by component, accounting for 59.91% or $1.47 billion of the total in 2024. Going forward, the software segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by component, at a CAGR of 27.44% during 2024-2029.
The generative AI in cyber security market is segmented by technology into generative adversarial networks (GANs), variational autoencoders (VAEs), reinforcement learning (RL), deep neural networks (DNNs), natural language processing (NLP) and other technologies. The generative adversarial networks (GANs) market was the largest segment of the generative AI in cyber security market segmented by technology, accounting for 28.92% or $711.36 million of the total in 2024. Going forward, the reinforcement learning (RL) segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by technology, at a CAGR of 30.19% during 2024-2029.
The generative AI in cyber security market is segmented by end-use into banking, financial services and insurance (BFSI), healthcare and life sciences, government and defense, retail and e-commerce, manufacturing and industrial, information technology (IT) and telecommunications, energy and utilities and other end-uses. The banking, financial services and insurance (BFSI) market was the largest segment of the generative AI in cyber security market segmented by end-use, accounting for 30.06% or $739.31 million of the total in 2024. Going forward, the healthcare and life sciences segment is expected to be the fastest growing segment in the generative AI in cyber security market segmented by end-use, at a CAGR of 30.86% during 2024-2029.
The top opportunities in the generative AI in cyber security market segmented by type will arise in the threat detection and analysis segment, which will gain $2.05 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by component will arise in the software segment, which will gain $3.47 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by technology will arise in the generative adversarial networks (GANs) segment, which will gain $1.64 billion of global annual sales by 2029. The top opportunities in the generative AI in cyber security market segmented by end-use will arise in the banking, financial services and insurance (BFSI) segment, which will gain $1.47 billion of global annual sales by 2029. The generative AI in cyber security market size will gain the most in the USA at $2.08 billion.
Market-trend-based strategies for the generative AI in cyber security market include focus on quantum-safe security measures, focus on investing in AI security platforms for safe adoption, focus on generative AI course for cybersecurity in financial services, focus on AI-powered cybersecurity assistants enhances efficiency and accuracy, focus on gen AI engines transform cybersecurity threat detection and focus on overcoming data leak challenges with contextual data protection (CDP).
Player-adopted strategies in the generative AI in cyber security market include focus on strengthening business expertise through new program launches, focus on expanding capabilities through new openings of generative AI in cyber security, focus on improving portfolio through strategic partnerships.
To take advantage of the opportunities, the analyst recommends the generative AI in cyber security companies to focus on real-time threat detection and quantum-safe security, focus on securing generative AI tools, focus on AI-driven cybersecurity solutions in finance, focus on integrating generative AI for enhanced threat detection, focus on contextual data protection solutions, focus on network security solutions, focus on software solutions in generative AI for cybersecurity, focus on reinforcement learning in generative AI for cybersecurity, expand in emerging markets, continue to focus on developed markets, provide competitively priced offerings, continue to use B2C promotions, participate in trade shows and events and focus on healthcare and life sciences in generative AI for cybersecurity.
Major Market Trends
- Focus on Quantum-Safe Security Measures
- Investing in AI Security Platforms for Safe Adoption
- Generative AI Course for Cybersecurity in Financial Services
- AI-Powered Cybersecurity Assistants Enhances Efficiency and Accuracy
- Gen AI Engines Transform Cybersecurity Threat Detection
- Overcoming Data Leak Challenges With Contextual Data Protection (CDP)
Key Mergers and Acquisitions
- Cohesity Expands Data Protection Provider With Veritas Acquisition
- Cyberark Acquires Venafi To Enhance Identity Security
- Cisco’s Acquisition of Robust Intelligence To Expand Market Presence
- Protect AI Acquires SydeLabs To Strengthen AI Security
- Thoma Bravo Acquired Darktrace To Advance Cyber Attack Protection
- Accenture Security Acquired MNEMO Mexico To Enhance Cyber Resilience
- Bitdefender Acquired Horangi Pte Ltd. To Expand Cloud Infrastructure
- Cisco Acquires Armorblox To Enhance Cybersecurity With Advanced Threat Protection
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 Generative AI in Cyber Security Market - Macro Economic Scenario
9 Global Market Size and Growth
10 Global Generative AI in Cyber Security Market Segmentation
11 Generative AI in Cyber Security Market, Regional and Country Analysis
12 Asia-Pacific Market
13 Western Europe Market
14 Eastern Europe Market
15 North America Market
16 South America Market
17 Middle East Market
18 Africa Market
19 Competitive Landscape and Company Profiles
20 Other Major and Innovative Companies
23 Key Mergers and Acquisitions
24 Opportunities and Strategies
25 Generative AI in Cyber Security Market, Conclusions and Recommendations
26 Appendix
Executive Summary
Generative AI In Cyber Security Global Market Opportunities And Strategies To 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global generative AI in cyber security market as it emerges from the COVID-19 shut down.Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for generative AI in cyber security? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The generative AI in cyber security market global report answers all these questions and many more.The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider generative AI in cyber security market; and compares it with other markets.
The report covers the following chapters
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by type, by component, by technology and by end-use.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario - The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the generative AI in cyber security market.
- Global Market Size And Growth - Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional And Country Analysis - Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation - Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by type, by component, by technology and by end-use in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth - Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities And Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations - This section includes recommendations for generative AI in cyber security providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Type: Threat Detection And Analysis; Adversarial Defense; Insider Threat Detection; Network Security; Other Types2) By Component: Hardware; Software; Services
3) By Technology: Generative Adversarial Networks (GANs); Variational Autoencoders (VAEs); Reinforcement Learning (RL); Deep Neural Networks (DNNs); Natural Language Processing (NLP); Other Technologies
4) By End Use: Banking, Financial Services And Insurance (BFSI); Healthcare And Life Sciences; Government And Defense; Retail And E-Commerce; Manufacturing And Industrial; Information Technology (IT) And Telecommunications; Energy And Utilities; Other End-Uses
Key Companies Mentioned: Check Point Software Technologies Ltd.; Microsoft Corp.; NVIDIA Corporation; Amazon Web Services, Inc.; Palo Alto Networks Inc.
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; generative AI in cyber security indicators comparison.
Data Segmentation: Country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Companies Mentioned
The major companies featured in this Generative AI in Cyber Security market report include:- Check Point Software Technologies Ltd.
- Microsoft Corp.
- NVIDIA Corporation
- Amazon Web Services, Inc.
- Palo Alto Networks Inc.
- McAfee Corp.
- BlackBerry Limited (Cylance)
- Cisco Systems Inc.
- International Business Machines Corporation
- Fortinet Inc.
- Qi-Anxin Group
- SenseTime
- Baidu
- LexisNexis
- China Telecom Corporation Limited
- Tencent
- Tata Consultancy Services
- Kyndryl
- NRI Secure Technologies Limited
- Dell Technologies
- KT Corporation
- Databricks
- FFRI Security
- Fujitsu
- Trend Micro
- Nihon Cyber Defense
- Lucideus
- WiJungle
- Block Armour
- XenonStack
- AustralianSuper
- Powerlink
- Tesserent
- Accenture
- AhnLab
- Genians
- IGLOO Corporation
- NSHC
- S2W
- Darktrace
- CrowdStrike
- Palantir Technologies
- Sophos
- Forcepoint
- Kaspersky Lab
- SonicWall
- Bitdefender
- ESET, spol. s r.o.
- CyberGhost
- Panda Security
- Acronis
- DataArt
- SoftServe
- Infinidat
- CybSafe
- Qualysec Technologies
- Group-IB
- Secucloud
- Palantir Technologies Inc.
- SentinelOne Inc.
- Nubiral
- ZenoX
- Vectra AI
- RSA Security LLC
- CyberArk
- Sophos
- Liquid C2
- Anthropic
- Cassava Technologies
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 341 |
| Published | March 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 2.45 Billion |
| Forecasted Market Value ( USD | $ 23.92 Billion |
| Compound Annual Growth Rate | 25.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 70 |
