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Artificial Intelligence in Security Market - Global Forecast 2025-2032

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    Report

  • 188 Pages
  • October 2025
  • Region: Global
  • 360iResearch™
  • ID: 5887854
UP TO OFF until Jan 01st 2026
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The artificial intelligence in security market is empowering enterprises to address complex risk and compliance scenarios with adaptive digital protection, enabling leadership to position security at the core of operational resilience and strategic planning.

Market Snapshot: Artificial Intelligence in Security Market Growth

The artificial intelligence in security market is undergoing rapid expansion, currently valued at USD 33.41 billion in 2024 and projected to reach USD 41.70 billion by 2025. Forward-looking estimates anticipate the market growing to USD 190.01 billion by 2032, supported by a compound annual growth rate (CAGR) of 24.26%. This trajectory is driven by the rising complexity of cyberattacks, heightened regulatory demands, and the urgent need for adaptive security frameworks across global industries. Organizations in finance, healthcare, energy, and essential infrastructure are channeling resources into technologies that support real-time threat detection and reinforce organizational resilience, aligning security strategy with shifting business priorities.

Scope & Segmentation

  • Components: Managed security services, real-time threat intelligence, advisory offerings, system integration, and staff training collectively strengthen enterprise security posture and reduce a range of operational risks.
  • Solution Types: Capabilities such as application security, behavioral analytics, endpoint and identity protection, fraud prevention, network monitoring, and video analytics equip businesses to manage diverse attack vectors and proactively address vulnerabilities.
  • Deployment Modes: Flexible choices—including multi-cloud, hybrid, private, public, and on-premises deployments—allow organizations to align security architectures with compliance obligations and local data residency requirements.
  • Applications: Use cases encompass early threat detection, advanced analytics, predictive monitoring, adaptive surveillance, identity management, and vulnerability assessment—enabling companies to drive compliance and elevate best practices in security.
  • Organization Size: Scalable solutions are available for both large enterprises and small to mid-sized businesses, supporting effective governance and risk management tailored to a range of industry needs.
  • Industry Verticals: The market supports banking, financial services, government, healthcare, energy, manufacturing, IT, telecommunications, defense, retail, transportation, and logistics, ensuring organizations meet sector-specific regulatory and operational challenges.
  • Regions: Coverage includes the Americas, Europe, the Middle East & Africa, and Asia-Pacific, with tailored security and compliance approaches for economies such as the US, Canada, Brazil, UK, Germany, France, China, India, Japan, and Australia.

Key Takeaways for Decision-Makers

  • AI-driven automation advances security operations, enabling organizations to respond rapidly to emerging threats and minimize potential business interruptions.
  • Integrated governance and compliance frameworks facilitate transparent risk management and inform investment strategies for stronger security postures.
  • Flexible deployment models empower teams to adapt security initiatives to complex regulatory and sector-specific requirements within diverse regional markets.
  • Collaboration with technology vendors, industry leaders, and research organizations supports the development of robust, scalable, and resilient security strategies.
  • Aligning security protocols with compliance needs ensures prioritized protection of mission-critical assets and confidential data throughout the enterprise.
  • Regionally tailored security strategies help organizations adapt to evolving regulatory environments and emerging trends across global markets.

Tariff Impact: Navigating 2025 U.S. Tariffs in AI Security Supply Chains

Forthcoming U.S. tariffs on AI-enabled security hardware, including GPUs and accelerators, are set to influence sourcing and procurement strategies for providers and enterprises alike. In response, organizations are increasing investment in domestic manufacturing capacity, utilizing AI software optimization techniques such as model compression, and diversifying supply chain partnerships. Hybrid IT deployments and a renewed emphasis on local production are emerging as relevant strategies to sustain stable operations against shifting regulatory backdrops.

Methodology & Data Sources

Findings in this report are based on comprehensive secondary research, sector-specific analysis, in-depth financial reviews, targeted academic studies, and senior executive interviews. The application of PESTLE analysis and Porter’s Five Forces ensures that conclusions remain actionable and reliable for informed enterprise decision-making.

Why This Report Matters

  • Delivers clear benchmarks and decision-focused frameworks for managing risk and planning security investments in evolving regulatory environments.
  • Provides sector-specific and regional insights to help align security strategies with ongoing regulatory shifts and market demands.
  • Assists leaders in responding to supply chain disruptions and policy changes, supporting operational resilience and strategic adaptability.

Conclusion

This report supports executives in strengthening security strategies, helping them anticipate industry changes and enhance enterprise resilience as artificial intelligence redefines digital protection standards.

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates.
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website.

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
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Integration of AI-powered behavioral analytics for real-time insider threat detection across cloud and on-premises networks
5.2. Adoption of generative adversarial neural networks for automated vulnerability scanning and penetration testing in critical infrastructures
5.3. Deployment of federated learning frameworks to enhance cross-organization anomaly detection without sharing sensitive security data
5.4. Implementation of self-learning AI agents leveraging continuous reinforcement learning to autonomously remediate advanced persistent threats
5.5. Utilization of multimodal deep learning combining video surveillance and access control logs for comprehensive perimeter security analysis
5.6. Incorporation of explainable AI models in cybersecurity platforms to meet regulatory compliance and improve analyst trust and decision making
6. Cumulative Impact of United States Tariffs 2025
7. Cumulative Impact of Artificial Intelligence 2025
8. Artificial Intelligence in Security Market, by Component
8.1. Services
8.1.1. Managed Services
8.1.1.1. Security Monitoring
8.1.1.2. Threat Intelligence Services
8.1.2. Professional Services
8.1.2.1. Consulting
8.1.2.2. Integration
8.1.2.3. Training
8.2. Solutions
8.2.1. Application Security
8.2.2. Behavior Analytics
8.2.3. Endpoint Security
8.2.4. Fraud Detection
8.2.5. Identity Access Management
8.2.6. Network Security
8.2.7. Video Analytics
9. Artificial Intelligence in Security Market, by Deployment Mode
9.1. Cloud
9.1.1. Multi Cloud
9.1.2. Private Cloud
9.1.3. Public Cloud
9.2. Hybrid
9.3. On Premises
10. Artificial Intelligence in Security Market, by Application
10.1. Behavior Analytics
10.2. Fraud Detection
10.3. Identity Management
10.4. Network Monitoring
10.5. Threat Prediction
10.6. Video Surveillance
10.7. Vulnerability Assessment
11. Artificial Intelligence in Security Market, by Organization Size
11.1. Large Enterprises
11.2. Small and Medium Enterprises
12. Artificial Intelligence in Security Market, by Industry Vertical
12.1. BFSI
12.2. Energy and Utilities
12.3. Government
12.4. Healthcare
12.5. IT and Telecommunications
12.6. Manufacturing
12.7. Military and Defense
12.8. Retail
12.9. Transportation and Logistics
13. Artificial Intelligence in Security Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. Artificial Intelligence in Security Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. Artificial Intelligence in Security Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Palo Alto Networks, Inc.
16.3.2. Cisco Systems, Inc.
16.3.3. International Business Machines Corporation
16.3.4. Microsoft Corporation
16.3.5. Splunk Inc.
16.3.6. Fortinet, Inc.
16.3.7. CrowdStrike Holdings, Inc.
16.3.8. Check Point Software Technologies Ltd.
16.3.9. SentinelOne, Inc.
16.3.10. Darktrace plc

Companies Mentioned

The companies profiled in this Artificial Intelligence in Security market report include:
  • Palo Alto Networks, Inc.
  • Cisco Systems, Inc.
  • International Business Machines Corporation
  • Microsoft Corporation
  • Splunk Inc.
  • Fortinet, Inc.
  • CrowdStrike Holdings, Inc.
  • Check Point Software Technologies Ltd.
  • SentinelOne, Inc.
  • Darktrace plc

Table Information