세계의 사이버 보안 분야 인공지능(AI) 시장 규모, 점유율, 성장 및 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2024-2032년)

Growth Factors of artificial intelligence in cybersecurity Market

The global artificial intelligence in cybersecurity market is witnessing rapid expansion, driven by the surge in cyber threats, increasing sophistication of attacks, and the shift toward automation-powered security ecosystems. According to the latest industry assessment, the global market was valued at USD 26.55 billion in 2024, reflecting the strong demand for AI-enabled security tools across sectors such as BFSI, IT & telecom, healthcare, retail, manufacturing, and government. The market is projected to grow further to USD 34.10 billion in 2025, driven by rising adoption of generative AI, behavioral analytics, and AI-powered SOC modernization initiatives. By 2032, the market is expected to reach USD 234.64 billion, supported by an impressive 31.70% CAGR from 2025 to 2032.

In 2024, North America dominated the industry with a 36.31% market share, valued at USD 9.64 billion. The region benefits from advanced technologies, availability of high-tech enterprises, strong cybersecurity funding, and the presence of global leaders including CrowdStrike, Fortinet, IBM, Check Point, Darktrace, and BlackBerry.

Market Dynamics

Rising Social Engineering Attacks Fuel AI Security Adoption

The increasing complexity of social engineering attacks such as phishing, smishing, whaling, and spear phishing represents a major market driver. According to Verizon's DBIR 2023 report, 74% of data breaches involve human error, highlighting the growing vulnerability of users to psychological manipulation. With 8% of users responsible for nearly 80% of security incidents, enterprises rely heavily on AI-based behavioral analytics to detect anomalies, reduce successful attacks, and strengthen authentication workflows.

Generative AI Transforms Cybersecurity Operations

Generative AI is becoming a cornerstone of modern cyber defense. As per industry insights, three in five employees consider AI essential for efficient threat response, while 60% of organizations view generative AI as a long-term cybersecurity enhancer. GenAI can summarize threat activity, recommend remediation steps, automate SOC workflows, and enhance analyst productivity. This ability to detect emerging threats and reduce response times contributes significantly to the market's upward trajectory.

AI-Driven Patch Management Gains Prominence

AI-enabled patch management systems have become critical as 47% of data breaches result from unpatched vulnerabilities, according to the 2023 State of Vulnerability Remediation Report. With 56% of organizations still performing patching manually, automated detection, prioritization, and remediation using AI unlock operational efficiency and reduce exploitable security gaps. Real-time threat intelligence and predictive analytics further strengthen enterprise defense posture.

Segmental Insights

By Security Type

In 2024, network security dominated with a 31% share, supported by investments in AI-based intrusion detection, secure browsers, SASE integration, and threat analytics.

The cloud security segment is forecast to grow at the highest rate as enterprises adopt cloud-native infrastructure and multi-cloud environments requiring AI-powered protection.

By Enterprise Type

SMEs will experience the highest CAGR of 34.20%, driven by the need to close cybersecurity skill gaps using AI-enhanced tools.

Large enterprises will hold 64% of the 2025 share, fueled by their large-scale data volumes, hybrid ecosystems, and increasing exposure to ransomware and data breaches.

By Application

Fraud detection led in 2024 due to AI's ability to detect fraud in milliseconds while reducing false positives. This segment will represent 29% of the 2025 market.

Unified threat management will record the fastest growth, driven by integrated security frameworks, passwordless authentication, and automated incident response.

By Industry

Retail & e-commerce will witness the highest CAGR at 36.90%, with digital transactions and omnichannel commerce increasing exposure to cyber threats.

The IT & telecom sector held the largest 2024 share due to massive data flows and persistent cyberattacks requiring AI-led detection and prevention.

Regional Outlook

North America

The market reached USD 9.64 billion in 2024, maintaining leadership due to advanced digital infrastructure and significant government spending, including USD 12.72 billion allocated for cybersecurity initiatives in 2024.

Europe

With USD 9.14 billion in 2024, Europe is the second-fastest-growing region, driven by regulatory frameworks such as the EU AI Act and rising attacks across BFSI, healthcare, and government sectors.

Asia Pacific

Estimated at USD 7.30 billion in 2025, the region is set to grow fastest through 2032, supported by rising AI adoption in China, Japan, India, and Australia.

Middle East & Africa

Projected at USD 3.63 billion in 2025, the region benefits from increasing government mandates for cybersecurity compliance.

Conclusion

With the market rising from USD 26.55 billion in 2024 to USD 234.64 billion by 2032, artificial intelligence in cybersecurity represents one of the fastest-growing global technology sectors. Growing cyberattacks, generative AI adoption, cloud migration, and real-time threat intelligence capabilities will continue to drive exponential expansion through the next decade.

Segmentation By Security Type

• Endpoint Security
• Network Security
• Cloud Security
• Secure Web Gateway
• Application Security
• Others (Operational Technology Security, etc.)

By Enterprise Type

• Small & Mid-sized Enterprises
• Large Enterprises

By Application

• Identity & Access Management
• Unified Threat Management
• Vulnerability Assessment and Management
• Fraud Detection
• Risk & Compliance Management
• Data Loss Prevention
• Others (User behavior analytics, etc.)

By Industry

• BFSI
• IT & Telecom
• Healthcare
• Retail & E-commerce
• Government & Defense
• Manufacturing
• Others (Education, Media, etc.)

By Region

• North America (By Security Type, Enterprise Type, Application, Industry, and Country)
  • U.S.
  • Canada
  • Mexico
• South America (By Security Type, Enterprise Type, Application, Industry, and Country)
  • Brazil
  • Argentina
  • Rest of South America
• Europe (By Security Type, Enterprise Type, Application, Industry, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Middle East & Africa (By Security Type, Enterprise Type, Application, Industry, and Country)
  • Turkey
  • Israel
  • GCC
  • South Africa
  • North Africa
  • Rest of Middle East and Africa
• Asia Pacific (By Security Type, Enterprise Type, Application, Industry, and Country)
  • China
  • India
  • Japan
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific

Companies Profiled in the Report Fortinet, Inc. (U.S.), Check Point Software Technologies Ltd. (Israel), Sophos Ltd. (U.K.), Tessian Limited (U.K.), Acalvio Technologies, Inc. (U.S.), Cylance Inc. (BlackBerry), Darktrace Holdings Limited (U.K.), CrowdStrike (U.S.), LexisNexis Risk Solutions (U.S.), IBM Corporation (U.S.), Micron Technology, Inc. (U.S.), Cybereason (U.S.), etc.

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI
• 3.4. Use Case Analysis

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Artificial Intelligence in Cybersecurity Key Players (Top 3 - 5) Market Share/Ranking, 2024

5. Global Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 5.1. Key Findings
• 5.2. By Security Type (USD)
  • 5.2.1. Endpoint Security
  • 5.2.2. Network Security
  • 5.2.3. Cloud Security
  • 5.2.4. Secure Web Gateway
  • 5.2.5. Application Security
  • 5.2.6. Others (Operational Technology Security, etc.)
• 5.3. By Enterprise Type (USD)
  • 5.3.1. Small & Mid-sized Enterprises
  • 5.3.2. Large Enterprises
• 5.4. By Application (USD)
  • 5.4.1. Identity & Access Management
  • 5.4.2. Unified Threat Management
  • 5.4.3. Vulnerability Assessment and Management
  • 5.4.4. Fraud Detection
  • 5.4.5. Risk & Compliance Management
  • 5.4.6. Data Loss Prevention
  • 5.4.7. Others (User behavior analytics, etc.)
• 5.5. By Industry (USD)
  • 5.5.1. BFSI
  • 5.5.2. IT & Telecom
  • 5.5.3. Healthcare
  • 5.5.4. Retail & E-commerce
  • 5.5.5. Government & Defense
  • 5.5.6. Manufacturing
  • 5.5.7. Others (Education, Media, etc.)
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Middle East & Africa
  • 5.6.5. Asia Pacific

6. North America Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 6.1. Key Findings
• 6.2. By Security Type (USD)
  • 6.2.1. Endpoint Security
  • 6.2.2. Network Security
  • 6.2.3. Cloud Security
  • 6.2.4. Secure Web Gateway
  • 6.2.5. Application Security
  • 6.2.6. Others
• 6.3. By Enterprise Type (USD)
  • 6.3.1. Small & Mid-sized Enterprises
  • 6.3.2. Large Enterprises
• 6.4. By Application (USD)
  • 6.4.1. Identity & Access Management
  • 6.4.2. Unified Threat Management
  • 6.4.3. Vulnerability Assessment and Management
  • 6.4.4. Fraud Detection
  • 6.4.5. Risk & Compliance Management
  • 6.4.6. Data Loss Prevention
  • 6.4.7. Others
• 6.5. By Industry (USD)
  • 6.5.1. BFSI
  • 6.5.2. IT & Telecom
  • 6.5.3. Healthcare
  • 6.5.4. Retail & E-commerce
  • 6.5.5. Government & Defense
  • 6.5.6. Manufacturing
  • 6.5.7. Others
• 6.6. By Country (USD)
  • 6.6.1. United States
  • 6.6.2. Canada
  • 6.6.3. Mexico

7. South America Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 7.1. Key Findings
• 7.2. By Security Type (USD)
  • 7.2.1. Endpoint Security
  • 7.2.2. Network Security
  • 7.2.3. Cloud Security
  • 7.2.4. Secure Web Gateway
  • 7.2.5. Application Security
  • 7.2.6. Others
• 7.3. By Enterprise Type (USD)
  • 7.3.1. Small & Mid-sized Enterprises
  • 7.3.2. Large Enterprises
• 7.4. By Application (USD)
  • 7.4.1. Identity & Access Management
  • 7.4.2. Unified Threat Management
  • 7.4.3. Vulnerability Assessment and Management
  • 7.4.4. Fraud Detection
  • 7.4.5. Risk & Compliance Management
  • 7.4.6. Data Loss Prevention
  • 7.4.7. Others
• 7.5. By Industry (USD)
  • 7.5.1. BFSI
  • 7.5.2. IT & Telecom
  • 7.5.3. Healthcare
  • 7.5.4. Retail & E-commerce
  • 7.5.5. Government & Defense
  • 7.5.6. Manufacturing
  • 7.5.7. Others
• 7.6. By Country (USD)
  • 7.6.1. Brazil
  • 7.6.2. Argentina
  • 7.6.3. Rest of South America

8. Europe Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 8.1. Key Findings
• 8.2. By Security Type (USD)
  • 8.2.1. Endpoint Security
  • 8.2.2. Network Security
  • 8.2.3. Cloud Security
  • 8.2.4. Secure Web Gateway
  • 8.2.5. Application Security
  • 8.2.6. Others
• 8.3. By Enterprise Type (USD)
  • 8.3.1. Small & Mid-sized Enterprises
  • 8.3.2. Large Enterprises
• 8.4. By Application (USD)
  • 8.4.1. Identity & Access Management
  • 8.4.2. Unified Threat Management
  • 8.4.3. Vulnerability Assessment and Management
  • 8.4.4. Fraud Detection
  • 8.4.5. Risk & Compliance Management
  • 8.4.6. Data Loss Prevention
  • 8.4.7. Others
• 8.5. By Industry (USD)
  • 8.5.1. BFSI
  • 8.5.2. IT & Telecom
  • 8.5.3. Healthcare
  • 8.5.4. Retail & E-commerce
  • 8.5.5. Government & Defense
  • 8.5.6. Manufacturing
  • 8.5.7. Others
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
  • 8.6.2. Germany
  • 8.6.3. France
  • 8.6.4. Italy
  • 8.6.5. Spain
  • 8.6.6. Russia
  • 8.6.7. Benelux
  • 8.6.8. Nordics
  • 8.6.9. Rest of Europe

9. Middle East & Africa Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 9.1. Key Findings
• 9.2. By Security Type (USD)
  • 9.2.1. Endpoint Security
  • 9.2.2. Network Security
  • 9.2.3. Cloud Security
  • 9.2.4. Secure Web Gateway
  • 9.2.5. Application Security
  • 9.2.6. Others
• 9.3. By Enterprise Type (USD)
  • 9.3.1. Small & Mid-sized Enterprises
  • 9.3.2. Large Enterprises
• 9.4. By Application (USD)
  • 9.4.1. Identity & Access Management
  • 9.4.2. Unified Threat Management
  • 9.4.3. Vulnerability Assessment and Management
  • 9.4.4. Fraud Detection
  • 9.4.5. Risk & Compliance Management
  • 9.4.6. Data Loss Prevention
  • 9.4.7. Others
• 9.5. By Industry (USD)
  • 9.5.1. BFSI
  • 9.5.2. IT & Telecom
  • 9.5.3. Healthcare
  • 9.5.4. Retail & E-commerce
  • 9.5.5. Government & Defense
  • 9.5.6. Manufacturing
  • 9.5.7. Others
• 9.6. By Country (USD)
  • 9.6.1. Turkey
  • 9.6.2. Israel
  • 9.6.3. GCC
  • 9.6.4. North Africa
  • 9.6.5. South Africa
  • 9.6.6. Rest of MEA

10. Asia Pacific Artificial Intelligence in Cybersecurity Market Size Estimates and Forecasts, By Segments, 2019-2032

• 10.1. Key Findings
• 10.2. By Security Type (USD)
  • 10.2.1. Endpoint Security
  • 10.2.2. Network Security
  • 10.2.3. Cloud Security
  • 10.2.4. Secure Web Gateway
  • 10.2.5. Application Security
  • 10.2.6. Others
• 10.3. By Enterprise Type (USD)
  • 10.3.1. Small & Mid-sized Enterprises
  • 10.3.2. Large Enterprises
• 10.4. By Application (USD)
  • 10.4.1. Identity & Access Management
  • 10.4.2. Unified Threat Management
  • 10.4.3. Vulnerability Assessment and Management
  • 10.4.4. Fraud Detection
  • 10.4.5. Risk & Compliance Management
  • 10.4.6. Data Loss Prevention
  • 10.4.7. Others
• 10.5. By Industry (USD)
  • 10.5.1. BFSI
  • 10.5.2. IT & Telecom
  • 10.5.3. Healthcare
  • 10.5.4. Retail & E-commerce
  • 10.5.5. Government & Defense
  • 10.5.6. Manufacturing
  • 10.5.7. Others
• 10.6. By Country (USD)
  • 10.6.1. China
  • 10.6.2. India
  • 10.6.3. Japan
  • 10.6.4. South Korea
  • 10.6.5. ASEAN
  • 10.6.6. Oceania
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Fortinet, Inc.
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. Check Point Software Technologies Ltd.
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Sophos Ltd.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Tessian Limited
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Acalvio Technologies, Inc.
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Cylance Inc. (BlackBerry)
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Darktrace Holdings Limited
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. CrowdStrike
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Palo Alto Networks
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. LexisNexis Risk Solutions
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways