생성형 AI 사이버보안 시장 : 오퍼링별, 조직 규모별, 보안 용도별, 최종사용자 산업별, 도입 모드별 - 세계 예측(2025-2030년)

The Generative AI Cybersecurity Market was valued at USD 7.80 billion in 2023, expected to reach USD 9.95 billion in 2024, and is projected to grow at a CAGR of 28.59%, to USD 45.37 billion by 2030.

The scope of generative AI in cybersecurity encompasses its application in devising advanced threat detection systems, anomaly detection, and automated risk mitigation strategies. This technology is integral due to the escalating sophistication and frequency of cyber threats, necessitating adaptive and intelligent solutions for real-time security. Generative AI is employed in creating deception environments, developing AI-driven security protocols, and regularizing vast datasets to anticipate potential security breaches. The end-use scope spans across sectors like financial services, healthcare, government, and IT, where sensitive data protection is paramount. Key market growth factors include the increasing reliance on digitalization, rising cybercrime activities, and the demand for proactive cybersecurity measures, while potential opportunities lie in niche areas like personalized AI-driven security solutions, and the expansion of AI-managed security operations centers. These can be captured through strategic partnerships and research-focused investments in AI capabilities. The market faces challenges such as a lack of skilled professionals, high initial investment costs, concerns over AI ethics, and regulatory compliance issues which impede its full-scale adoption. Limitations also arise due to the AI's dependence on large data sets which can be manipulated, leading to potential privacy and security concerns themselves. To overcome these, innovation should focus on improving AI transparency, developing comprehensive AI governance frameworks, and advancing explainable AI technologies to enhance trust. Research and development in creating robust AI algorithms capable of learning from minimal data could revolutionize industry practices. The market is highly dynamic, characterized by rapid technological advances and competitive pressures, where leading firms continuously aspire to outpace cyber adversaries through cutting-edge developments and strategic foresight, making it an ever-evolving landscape with substantial room for business growth and pioneering research avenues.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Generative AI Cybersecurity Market

The Generative AI Cybersecurity Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising incidents of cyber-attacks necessitating advanced security solutions
  • Stringent regulatory compliance requirements for data protection
• Market Restraints
  • High costs of implementing advanced AI-based systems
• Market Opportunities
  • Customizing AI solutions for the unique needs of different industries
  • Growing advancements in AI technologies
• Market Challenges
  • Data privacy concerns associated with generative AI cybersecurity

Porter's Five Forces: A Strategic Tool for Navigating the Generative AI Cybersecurity Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Generative AI Cybersecurity Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Generative AI Cybersecurity Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Generative AI Cybersecurity Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Generative AI Cybersecurity Market

A detailed market share analysis in the Generative AI Cybersecurity Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Generative AI Cybersecurity Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Generative AI Cybersecurity Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Generative AI Cybersecurity Market

A strategic analysis of the Generative AI Cybersecurity Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Generative AI Cybersecurity Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., BigID, Inc., BlackBerry Limited, capgemini S.A., Cisco Systems, Inc., CrowdStrike, Inc., Darktrace Holdings Limited., Fortinet, Inc., Google LLC, HCL Technologies Limited, IBM Crop., Microsoft Corporate, Musarubra US LLC, NTT DATA Group Corporation, NVIDIA Corporation, Okta, Inc., Palo Alto Networks, Inc., Sangfor Technologies (Hong Kong) Limited, SecurityScorecard, Inc., SentinelOne, Inc., TechnologyAdvice, LLC, Trend Micro Incorporated, UST Global Inc, and Zscaler, Inc..

Market Segmentation & Coverage

This research report categorizes the Generative AI Cybersecurity Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Offering, market is studied across Services and Software. The Services is further studied across Managed Services, Professional Services, Support & Maintenance Services, System Integration & Implementation Services, and Training & Consulting Services.
• Based on Organization Size, market is studied across Large Enterprises and Small and Medium Enterprises.
• Based on Security Application, market is studied across Data Protection, Identity and Access Management, Risk Assessment, and Threat Detection. The Data Protection is further studied across Data Loss Prevention, Data Masking, and Encryption. The Identity and Access Management is further studied across Authentication, Authorization, and User Provisioning. The Risk Assessment is further studied across Compliance Monitoring, Threat Intelligence, and Vulnerability Assessment. The Threat Detection is further studied across Anomaly Detection, Intrusion Detection, and Malware Detection.
• Based on End User Industry, market is studied across Automotive, Transportation & Logistics, Banking, Financial Services, and Insurance, Energy & Utilities, Government & Defense, Healthcare & Life Sciences, IT and Telecommunications, Manufacturing, Media & Entertainment, and Retail & E-Commerce.
• Based on Deployment Mode, market is studied across Cloud and On-Premises.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising incidents of cyber-attacks necessitating advanced security solutions
    • 5.1.1.2. Stringent regulatory compliance requirements for data protection
  • 5.1.2. Restraints
    • 5.1.2.1. High costs of implementing advanced AI-based systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Customizing AI solutions for the unique needs of different industries
    • 5.1.3.2. Growing advancements in AI technologies
  • 5.1.4. Challenges
    • 5.1.4.1. Data privacy concerns associated with generative AI cybersecurity
• 5.2. Market Segmentation Analysis
  • 5.2.1. Offering: Increasing adoption of software offering for enhanced threat and anomaly detection
  • 5.2.2. End user industry: Rising adoption in IT and telecommunications for securing large volumes of data transmission
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Generative AI Cybersecurity Market, by Offering

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Managed Services
  • 6.2.2. Professional Services
  • 6.2.3. Support & Maintenance Services
  • 6.2.4. System Integration & Implementation Services
  • 6.2.5. Training & Consulting Services
• 6.3. Software

7. Generative AI Cybersecurity Market, by Organization Size

• 7.1. Introduction
• 7.2. Large Enterprises
• 7.3. Small and Medium Enterprises

8. Generative AI Cybersecurity Market, by Security Application

• 8.1. Introduction
• 8.2. Data Protection
  • 8.2.1. Data Loss Prevention
  • 8.2.2. Data Masking
  • 8.2.3. Encryption
• 8.3. Identity and Access Management
  • 8.3.1. Authentication
  • 8.3.2. Authorization
  • 8.3.3. User Provisioning
• 8.4. Risk Assessment
  • 8.4.1. Compliance Monitoring
  • 8.4.2. Threat Intelligence
  • 8.4.3. Vulnerability Assessment
• 8.5. Threat Detection
  • 8.5.1. Anomaly Detection
  • 8.5.2. Intrusion Detection
  • 8.5.3. Malware Detection

9. Generative AI Cybersecurity Market, by End User Industry

• 9.1. Introduction
• 9.2. Automotive, Transportation & Logistics
• 9.3. Banking, Financial Services, and Insurance
• 9.4. Energy & Utilities
• 9.5. Government & Defense
• 9.6. Healthcare & Life Sciences
• 9.7. IT and Telecommunications
• 9.8. Manufacturing
• 9.9. Media & Entertainment
• 9.10. Retail & E-Commerce

10. Generative AI Cybersecurity Market, by Deployment Mode

• 10.1. Introduction
• 10.2. Cloud
• 10.3. On-Premises

11. Americas Generative AI Cybersecurity Market

• 11.1. Introduction
• 11.2. Argentina
• 11.3. Brazil
• 11.4. Canada
• 11.5. Mexico
• 11.6. United States

12. Asia-Pacific Generative AI Cybersecurity Market

• 12.1. Introduction
• 12.2. Australia
• 12.3. China
• 12.4. India
• 12.5. Indonesia
• 12.6. Japan
• 12.7. Malaysia
• 12.8. Philippines
• 12.9. Singapore
• 12.10. South Korea
• 12.11. Taiwan
• 12.12. Thailand
• 12.13. Vietnam

13. Europe, Middle East & Africa Generative AI Cybersecurity Market

• 13.1. Introduction
• 13.2. Denmark
• 13.3. Egypt
• 13.4. Finland
• 13.5. France
• 13.6. Germany
• 13.7. Israel
• 13.8. Italy
• 13.9. Netherlands
• 13.10. Nigeria
• 13.11. Norway
• 13.12. Poland
• 13.13. Qatar
• 13.14. Russia
• 13.15. Saudi Arabia
• 13.16. South Africa
• 13.17. Spain
• 13.18. Sweden
• 13.19. Switzerland
• 13.20. Turkey
• 13.21. United Arab Emirates
• 13.22. United Kingdom

14. Competitive Landscape

• 14.1. Market Share Analysis, 2023
• 14.2. FPNV Positioning Matrix, 2023
• 14.3. Competitive Scenario Analysis
  • 14.3.1. CrowdStrike and NVIDIA join forces to secure enterprise AI applications
  • 14.3.2. IBM's revolutionary generative AI cybersecurity assistant slashes alert times by 48%, boosts efficiency with real-time analysis
  • 14.3.3. Microsoft enhances cybersecurity with new GPT-4 powered Copilot for Security
  • 14.3.4. Venture capital funding for cybersecurity due to advances in AI
• 14.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Amazon Web Services, Inc.
• 2. BigID, Inc.
• 3. BlackBerry Limited
• 4. capgemini S.A.
• 5. Cisco Systems, Inc.
• 6. CrowdStrike, Inc.
• 7. Darktrace Holdings Limited.
• 8. Fortinet, Inc.
• 9. Google LLC
• 10. HCL Technologies Limited
• 11. IBM Crop.
• 12. Microsoft Corporate
• 13. Musarubra US LLC
• 14. NTT DATA Group Corporation
• 15. NVIDIA Corporation
• 16. Okta, Inc.
• 17. Palo Alto Networks, Inc.
• 18. Sangfor Technologies (Hong Kong) Limited
• 19. SecurityScorecard, Inc.
• 20. SentinelOne, Inc.
• 21. TechnologyAdvice, LLC
• 22. Trend Micro Incorporated
• 23. UST Global Inc
• 24. Zscaler, Inc.