Global Generative AI Cybersecurity Market Size Study by Offering, by Generative AI-based Cybersecurity Solutions, by Cybersecurity Solutions for Generative AI, by End-user and Regional Forecasts 2022-2032

Description

The global Generative AI Cybersecurity Market is valued at approximately USD 5.32 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 33.4% over the forecast period 2024-2032. Generative AI cybersecurity uses AI models to predict, detect, and counteract cyber threats by generating realistic threat scenarios, simulating attacks, and identifying vulnerabilities. Applications include creating synthetic data for training security systems, automating threat detection and response, enhancing intrusion detection systems, and developing robust defense mechanisms against sophisticated cyberattacks. This approach improves threat intelligence, reduces false positives, and strengthens overall cybersecurity posture by leveraging the predictive and adaptive capabilities of AI.

The adoption of advanced generative AI solutions in cybersecurity is rapidly transforming the landscape of cyber defense. By predicting, detecting, and mitigating cyber threats with unprecedented accuracy, generative AI technologies, especially Generative Adversarial Networks (GANs), are augmenting threat intelligence and automating response processes. These technologies are increasingly being leveraged to secure both cloud services and on-premise infrastructures, enhancing endpoint security and access management controls. The dual role of generative AI, in both enhancing cybersecurity operations and safeguarding generative AI-native workloads from threats like data poisoning and complex malware, is driving market expansion.

The market's robust growth is propelled by the rising prevalence of sophisticated cyber threats that traditional methods fail to counteract. Generative AI's ability to simulate realistic threat scenarios, create synthetic data for training, and automate detection and response mechanisms significantly bolsters cybersecurity measures. Furthermore, the integration of generative AI in cybersecurity is addressing the skills gap in the industry by automating repetitive tasks and enabling the employment of personnel with general aptitude rather than specialized training. However, challenges such as concerns over AI governance and the risks associated with shadow IT necessitate robust oversight and comprehensive employee training to prevent misuse and ensure compliance with regulations.

Geographically, North America is expected to dominate the market, driven by technological advancements, a strong healthcare infrastructure, and the high prevalence of cyber threats. The Asia Pacific region, on the other hand, is projected to witness the fastest growth, fueled by extensive public and private investments in AI research and development and a significant rise in cybercrime incidents, particularly in countries like India and China.

Major market players included in this report are:

Microsoft (US)
IBM (US)
Google (US)
SentinelOne (US)
AWS (US)
NVIDIA (US)
Cisco (US)
CrowdStrike (US)
Fortinet (US)
Zscaler (US)
Trend Micro (Japan)
Palo Alto Networks (US)
BlackBerry (Canada)
Darktrace (UK)
F5 (US)

The detailed segments and sub-segment of the market are explained below:

By Offering:

Software
Services

By Generative AI-based Cybersecurity Solutions:

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

By Cybersecurity Solutions for Generative AI:

Generative AI Training Data Security Software
Generative AI Model Security Software
Generative AI Infrastructure Security Software
Generative AI Application Security Software

By End-user:

BFSI
IT & ITeS
Telecommunications
Government & Defense
Healthcare & Life Sciences
Manufacturing
Media & Entertainment
Retail & E-Commerce
Energy & Utilities
Automotive, Transportation & Logistics
Other Enterprises

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
RoLA
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Generative AI Cybersecurity Market Executive Summary

1.1. Global Generative AI Cybersecurity Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Offering
- 1.3.2. By Generative AI-based Cybersecurity Solutions
- 1.3.3. By Cybersecurity Solutions for Generative AI
- 1.3.4. By End-user
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Generative AI Cybersecurity Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Generative AI Cybersecurity Market Dynamics

3.1. Market Drivers
- 3.1.1. High efficiency of Generative AI in combating advanced phishing attacks and deepfakes
- 3.1.2. Increasing sophistication of cyber threats
3.2. Market Challenges
- 3.2.1. Concerns about AI governance and the risks associated with shadow IT
- 3.2.2. Susceptibility of generative AI models to hijacking and data poisoning
3.3. Market Opportunities
- 3.3.1. Generative AI's potential to address the persistent skills gap in the cybersecurity industry

Chapter 4. Global Generative AI Cybersecurity Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Generative AI Cybersecurity Market Size & Forecasts by Offering 2022-2032

5.1. Segment Dashboard
5.2. Global Generative AI Cybersecurity Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Software
- 5.2.2. Services

Chapter 6. Global Generative AI Cybersecurity Market Size & Forecasts by Generative AI-based Cybersecurity Solutions 2022-2032

6.1. Segment Dashboard
6.2. Global Generative AI Cybersecurity Market: Generative AI-based Cybersecurity Solutions Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Threat Detection & Intelligence Software
- 6.2.2. Risk Assessment Software
- 6.2.3. Exposure Management Software
- 6.2.4. Phishing Simulation & Prevention Software
- 6.2.5. Remediation Guidance Software
- 6.2.6. Threat Hunting Platforms
- 6.2.7. Code Analysis Software

Chapter 7. Global Generative AI Cybersecurity Market Size & Forecasts by Cybersecurity Solutions for Generative AI 2022-2032

7.1. Segment Dashboard
7.2. Global Generative AI Cybersecurity Market: Cybersecurity Solutions for Generative AI Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. Generative AI Training Data Security Software
- 7.2.2. Generative AI Model Security Software
- 7.2.3. Generative AI Infrastructure Security Software
- 7.2.4. Generative AI Application Security Software

Chapter 8. Global Generative AI Cybersecurity Market Size & Forecasts by End-user 2022-2032

8.1. Segment Dashboard
8.2. Global Generative AI Cybersecurity Market: End-user Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. BFSI
- 8.2.2. IT & ITeS
- 8.2.3. Telecommunications
- 8.2.4. Government & Defense
- 8.2.5. Healthcare & Life Sciences
- 8.2.6. Manufacturing
- 8.2.7. Media & Entertainment
- 8.2.8. Retail & E-Commerce
- 8.2.9. Energy & Utilities
- 8.2.10. Automotive, Transportation & Logistics
- 8.2.11. Other Enterprises

Chapter 9. Global Generative AI Cybersecurity Market Size & Forecasts by Region 2022-2032

9.1. North America Generative AI Cybersecurity Market
- 9.1.1. U.S. Generative AI Cybersecurity Market
  - 9.1.1.1. Offering breakdown size & forecasts, 2022-2032
  - 9.1.1.2. Generative AI-based Cybersecurity Solutions breakdown size & forecasts, 2022-2032
  - 9.1.1.3. Cybersecurity Solutions for Generative AI breakdown size & forecasts, 2022-2032
  - 9.1.1.4. End-user breakdown size & forecasts, 2022-2032
- 9.1.2. Canada Generative AI Cybersecurity Market
9.2. Europe Generative AI Cybersecurity Market
- 9.2.1. U.K. Generative AI Cybersecurity Market
- 9.2.2. Germany Generative AI Cybersecurity Market
- 9.2.3. France Generative AI Cybersecurity Market
- 9.2.4. Spain Generative AI Cybersecurity Market
- 9.2.5. Italy Generative AI Cybersecurity Market
- 9.2.6. Rest of Europe Generative AI Cybersecurity Market
9.3. Asia-Pacific Generative AI Cybersecurity Market
- 9.3.1. China Generative AI Cybersecurity Market
- 9.3.2. India Generative AI Cybersecurity Market
- 9.3.3. Japan Generative AI Cybersecurity Market
- 9.3.4. Australia Generative AI Cybersecurity Market
- 9.3.5. South Korea Generative AI Cybersecurity Market
- 9.3.6. Rest of Asia Pacific Generative AI Cybersecurity Market
9.4. Latin America Generative AI Cybersecurity Market
- 9.4.1. Brazil Generative AI Cybersecurity Market
- 9.4.2. Mexico Generative AI Cybersecurity Market
- 9.4.3. Rest of Latin America Generative AI Cybersecurity Market
9.5. Middle East & Africa Generative AI Cybersecurity Market
- 9.5.1. Saudi Arabia Generative AI Cybersecurity Market
- 9.5.2. South Africa Generative AI Cybersecurity Market
- 9.5.3. Rest of Middle East & Africa Generative AI Cybersecurity Market

Chapter 10. Competitive Intelligence

10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
- 10.3.1. Microsoft (US)
  - 10.3.1.1. Key Information
  - 10.3.1.2. Overview
  - 10.3.1.3. Financial (Subject to Data Availability)
  - 10.3.1.4. Product Summary
  - 10.3.1.5. Market Strategies
- 10.3.2. IBM (US)
- 10.3.3. Google (US)
- 10.3.4. SentinelOne (US)
- 10.3.5. AWS (US)
- 10.3.6. NVIDIA (US)
- 10.3.7. Cisco (US)
- 10.3.8. CrowdStrike (US)
- 10.3.9. Fortinet (US)
- 10.3.10. Zscaler (US)
- 10.3.11. Trend Micro (Japan)
- 10.3.12. Palo Alto Networks (US)
- 10.3.13. BlackBerry (Canada)
- 10.3.14. Darktrace (UK)
- 10.3.15. F5 (US)

Chapter 11. Research Process

11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
11.2. Research Attributes