
Europe Agentic AI In Cybersecurity Market Size, Share & Industry Analysis Report By Component (Solution, and Services), By Application (Threat Detection & Response, Vulnerability Management, and Other Application), By Deployment (Cloud, and On-premises),
Description
The Europe Agentic AI In Cybersecurity Market would witness market growth of 33.7% CAGR during the forecast period (2025-2032).
The Germany market dominated the Europe Agentic AI In Cybersecurity Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of USD 12,731.4 million by 2032. The UK market is exhibiting a CAGR of 32.7% during (2025 - 2032). Additionally, The France market would experience a CAGR of 34.5% during (2025 - 2032). The Germany and UK led the Europe Agentic AI In Cybersecurity Market by Country with a market share of 25.2% and 21.8% in 2024.
In European cybersecurity, agentic AI has developed along a governance-first path that stresses openness, managing risks, and human oversight. In the past, security was based on signature rules and analyst-driven playbooks. Later, it added anomaly detection and supervised models. Modern agentic systems follow strict rules and regulations while automating the investigation, containment, and fixing of alerts. European businesses put a lot of value on layered autonomy, which means that agents do routine triage and containment, but people must confirm actions that are more risky. Multi-agent orchestration, auditable decision trails, and identity management for non-human agents are now standard in cloud, endpoint, and critical infrastructure environments to make sure they are safe, reliable, and compliant.
European market leaders use phased deployments, starting with low-risk automation and slowly adding more as trust is built. They build governance into their designs, connect agents with SIEM/XDR and ITSM systems, and put money into safety engineering, simulation, and adversarial testing. Analysts can safely manage autonomy with the help of training, role-based enablement, and human-in-the-loop defaults. Hyperscalers, specialized cybersecurity vendors, and agile startups that offer orchestration, assurance, and agent-safety solutions are all part of the competitive landscape. Success depends on interoperability, actions that can be audited, workflows that can be reversed, and good governance. Buyers value controlled autonomy over raw capability, which has led to a market with platform cores that are different from each other and modular, compliant agentic layers.
Application Outlook
Based on Application, the market is segmented into Threat Detection & Response, Vulnerability Management, and Other Application. Among various UK Agentic AI In Cybersecurity Market by Application; The Threat Detection & Response market achieved a market size of USD $523 Million in 2024 and is expected to grow at a CAGR of 32.1 % during the forecast period. The Other Application market is predicted to experience a CAGR of 33.5% throughout the forecast period from (2025 - 2032).
Deployment Outlook
Based on Deployment, the market is segmented into Cloud, and On-premises. The Cloud market segment dominated the France Agentic AI In Cybersecurity Market by Deployment is expected to grow at a CAGR of 34.7 % during the forecast period thereby continuing its dominance until 2032. Also, The On-premises market is anticipated to grow as a CAGR of 34.4 % during the forecast period during (2025 - 2032).
Country Outlook
Germany's agentic AI cybersecurity market is growing because of its large size, complicated digital infrastructure, and strict rules for how businesses should be run. The country has a lot of data and a lot of different threats because of its huge Industry 4.0 factories, energy grids, and financial networks. It needs to be able to find these threats on its own and respond quickly. Regulations like GDPR and the BSI's standards require data residency, explainability, and auditability. This pushes vendors to use privacy-preserving and federated learning methods. Adoption favors semi-autonomous agents for industrial OT, identity management, email, and cloud security, where AI suggests actions but humans have to approve important steps. When research institutions and cybersecurity companies work together, they speed up the development of new ideas in synthetic data and adversarial testing. There is competition among global providers, local MSSPs, and industrial automation companies, all of which set themselves apart by their compliance, reliability, and ability to work with complex OT systems. This ecosystem that focuses on governance makes Germany a European leader in the safe, industrial-strength use of agentic AI.
List of Key Companies Profiled
By Component
The Germany market dominated the Europe Agentic AI In Cybersecurity Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of USD 12,731.4 million by 2032. The UK market is exhibiting a CAGR of 32.7% during (2025 - 2032). Additionally, The France market would experience a CAGR of 34.5% during (2025 - 2032). The Germany and UK led the Europe Agentic AI In Cybersecurity Market by Country with a market share of 25.2% and 21.8% in 2024.
In European cybersecurity, agentic AI has developed along a governance-first path that stresses openness, managing risks, and human oversight. In the past, security was based on signature rules and analyst-driven playbooks. Later, it added anomaly detection and supervised models. Modern agentic systems follow strict rules and regulations while automating the investigation, containment, and fixing of alerts. European businesses put a lot of value on layered autonomy, which means that agents do routine triage and containment, but people must confirm actions that are more risky. Multi-agent orchestration, auditable decision trails, and identity management for non-human agents are now standard in cloud, endpoint, and critical infrastructure environments to make sure they are safe, reliable, and compliant.
European market leaders use phased deployments, starting with low-risk automation and slowly adding more as trust is built. They build governance into their designs, connect agents with SIEM/XDR and ITSM systems, and put money into safety engineering, simulation, and adversarial testing. Analysts can safely manage autonomy with the help of training, role-based enablement, and human-in-the-loop defaults. Hyperscalers, specialized cybersecurity vendors, and agile startups that offer orchestration, assurance, and agent-safety solutions are all part of the competitive landscape. Success depends on interoperability, actions that can be audited, workflows that can be reversed, and good governance. Buyers value controlled autonomy over raw capability, which has led to a market with platform cores that are different from each other and modular, compliant agentic layers.
Application Outlook
Based on Application, the market is segmented into Threat Detection & Response, Vulnerability Management, and Other Application. Among various UK Agentic AI In Cybersecurity Market by Application; The Threat Detection & Response market achieved a market size of USD $523 Million in 2024 and is expected to grow at a CAGR of 32.1 % during the forecast period. The Other Application market is predicted to experience a CAGR of 33.5% throughout the forecast period from (2025 - 2032).
Deployment Outlook
Based on Deployment, the market is segmented into Cloud, and On-premises. The Cloud market segment dominated the France Agentic AI In Cybersecurity Market by Deployment is expected to grow at a CAGR of 34.7 % during the forecast period thereby continuing its dominance until 2032. Also, The On-premises market is anticipated to grow as a CAGR of 34.4 % during the forecast period during (2025 - 2032).
Country Outlook
Germany's agentic AI cybersecurity market is growing because of its large size, complicated digital infrastructure, and strict rules for how businesses should be run. The country has a lot of data and a lot of different threats because of its huge Industry 4.0 factories, energy grids, and financial networks. It needs to be able to find these threats on its own and respond quickly. Regulations like GDPR and the BSI's standards require data residency, explainability, and auditability. This pushes vendors to use privacy-preserving and federated learning methods. Adoption favors semi-autonomous agents for industrial OT, identity management, email, and cloud security, where AI suggests actions but humans have to approve important steps. When research institutions and cybersecurity companies work together, they speed up the development of new ideas in synthetic data and adversarial testing. There is competition among global providers, local MSSPs, and industrial automation companies, all of which set themselves apart by their compliance, reliability, and ability to work with complex OT systems. This ecosystem that focuses on governance makes Germany a European leader in the safe, industrial-strength use of agentic AI.
List of Key Companies Profiled
- CrowdStrike Holdings, Inc.
- Palo Alto Networks, Inc.
- Microsoft Corporation
- IBM Corporation
- Darktrace Holdings Limited
- Google LLC
- Anthropic PBC
- Salesforce, Inc.
- NVIDIA Corporation
- SentinelOne, Inc.
By Component
- Solution
- Services
- Threat Detection & Response
- Vulnerability Management
- Other Application
- Cloud
- On-premises
- IT & Telecom
- BFSI
- Government & Defense
- Healthcare
- Retail & E-commerce
- Other End Use
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
Table of Contents
194 Pages
- Chapter 1. Market Scope & Methodology
- 1.1 Market Definition
- 1.2 Objectives
- 1.3 Market Scope
- 1.4 Segmentation
- 1.4.1 Europe Agentic AI In Cybersecurity Market, by Component
- 1.4.2 Europe Agentic AI In Cybersecurity Market, by Application
- 1.4.3 Europe Agentic AI In Cybersecurity Market, by Deployment
- 1.4.4 Europe Agentic AI In Cybersecurity Market, by End Use
- 1.4.5 Europe Agentic AI In Cybersecurity Market, by Country
- 1.5 Methodology for the research
- Chapter 2. Market at a Glance
- 2.1 Key Highlights
- Chapter 3. Market Overview
- 3.1 Introduction
- 3.1.1 Overview
- 3.1.1.1 Market Composition and Scenario
- 3.2 Key Factors Impacting the Market
- 3.2.1 Market Drivers
- 3.2.2 Market Restraints
- 3.2.3 Market Opportunities
- 3.2.4 Market Challenges
- Chapter 4. Market Trends – Europe Agentic AI In Cybersecurity Market
- Chapter 5. State of Competition – Europe Agentic AI In Cybersecurity Market
- Chapter 6. Value Chain Analysis of Agentic AI In Cybersecurity Market
- Chapter 7. Product Life Cycle – Agentic AI In Cybersecurity Market
- Chapter 8. Market Consolidation – Agentic AI in Cybersecurity Market
- Chapter 9. Key Customer Criteria – Agentic AI In Cybersecurity Market
- Chapter 10. Competition Analysis - Global
- 10.1 KBV Cardinal Matrix
- 10.2 Recent Industry Wide Strategic Developments
- 10.2.1 Partnerships, Collaborations and Agreements
- 10.2.2 Product Launches and Product Expansions
- 10.2.3 Acquisition and Mergers
- 10.3 Market Share Analysis, 2024
- 10.4 Top Winning Strategies
- 10.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
- 10.4.2 Key Strategic Move: (Product Launches and Product Expansions : 2024, Oct – 2025, Aug) Leading Players
- 10.5 Porter Five Forces Analysis
- Chapter 11. Europe Agentic AI In Cybersecurity Market by Component
- 11.1 Europe Solution Market by Country
- 11.2 Europe Services Market by Country
- Chapter 12. Europe Agentic AI In Cybersecurity Market by Application
- 12.1 Europe Threat Detection & Response Market by Country
- 12.2 Europe Vulnerability Management Market by Country
- 12.3 Europe Other Application Market by Country
- Chapter 13. Europe Agentic AI In Cybersecurity Market by Deployment
- 13.1 Europe Cloud Market by Country
- 13.2 Europe On-premises Market by Country
- Chapter 14. Europe Agentic AI In Cybersecurity Market by End Use
- 14.1 Europe IT & Telecom Market by Country
- 14.2 Europe BFSI Market by Country
- 14.3 Europe Government & Defense Market by Country
- 14.4 Europe Healthcare Market by Country
- 14.5 Europe Retail & E-commerce Market by Country
- 14.6 Europe Other End Use Market by Country
- Chapter 15. Europe Agentic AI In Cybersecurity Market by Country
- 15.1 Germany Agentic AI In Cybersecurity Market
- 15.1.1 Germany Agentic AI In Cybersecurity Market by Component
- 15.1.2 Germany Agentic AI In Cybersecurity Market by Application
- 15.1.3 Germany Agentic AI In Cybersecurity Market by Deployment
- 15.1.4 Germany Agentic AI In Cybersecurity Market by End Use
- 15.2 UK Agentic AI In Cybersecurity Market
- 15.2.1 UK Agentic AI In Cybersecurity Market by Component
- 15.2.2 UK Agentic AI In Cybersecurity Market by Application
- 15.2.3 UK Agentic AI In Cybersecurity Market by Deployment
- 15.2.4 UK Agentic AI In Cybersecurity Market by End Use
- 15.3 France Agentic AI In Cybersecurity Market
- 15.3.1 France Agentic AI In Cybersecurity Market by Component
- 15.3.2 France Agentic AI In Cybersecurity Market by Application
- 15.3.3 France Agentic AI In Cybersecurity Market by Deployment
- 15.3.4 France Agentic AI In Cybersecurity Market by End Use
- 15.4 Russia Agentic AI In Cybersecurity Market
- 15.4.1 Russia Agentic AI In Cybersecurity Market by Component
- 15.4.2 Russia Agentic AI In Cybersecurity Market by Application
- 15.4.3 Russia Agentic AI In Cybersecurity Market by Deployment
- 15.4.4 Russia Agentic AI In Cybersecurity Market by End Use
- 15.5 Spain Agentic AI In Cybersecurity Market
- 15.5.1 Spain Agentic AI In Cybersecurity Market by Component
- 15.5.2 Spain Agentic AI In Cybersecurity Market by Application
- 15.5.3 Spain Agentic AI In Cybersecurity Market by Deployment
- 15.5.4 Spain Agentic AI In Cybersecurity Market by End Use
- 15.6 Italy Agentic AI In Cybersecurity Market
- 15.6.1 Italy Agentic AI In Cybersecurity Market by Component
- 15.6.2 Italy Agentic AI In Cybersecurity Market by Application
- 15.6.3 Italy Agentic AI In Cybersecurity Market by Deployment
- 15.6.4 Italy Agentic AI In Cybersecurity Market by End Use
- 15.7 Rest of Europe Agentic AI In Cybersecurity Market
- 15.7.1 Rest of Europe Agentic AI In Cybersecurity Market by Component
- 15.7.2 Rest of Europe Agentic AI In Cybersecurity Market by Application
- 15.7.3 Rest of Europe Agentic AI In Cybersecurity Market by Deployment
- 15.7.4 Rest of Europe Agentic AI In Cybersecurity Market by End Use
- Chapter 16. Company Profiles
- 16.1 Crowdstrike Holdings, Inc.
- 16.1.1 Company Overview
- 16.1.2 Financial Analysis
- 16.1.3 Regional Analysis
- 16.1.4 Research & Development Expenses
- 16.1.5 Recent strategies and developments:
- 16.1.5.1 Partnerships, Collaborations, and Agreements:
- 16.1.5.2 Product Launches and Product Expansions:
- 16.1.6 SWOT Analysis
- 16.2 Palo Alto Networks, Inc.
- 16.2.1 Company Overview
- 16.2.2 Financial Analysis
- 16.2.3 Regional Analysis
- 16.2.4 Research & Development Expense
- 16.2.5 Recent strategies and developments:
- 16.2.5.1 Partnerships, Collaborations, and Agreements:
- 16.2.5.2 Acquisition and Mergers:
- 16.2.6 SWOT Analysis
- 16.3 Microsoft Corporation
- 16.3.1 Company Overview
- 16.3.2 Financial Analysis
- 16.3.3 Segmental and Regional Analysis
- 16.3.4 Research & Development Expenses
- 16.3.5 Recent strategies and developments:
- 16.3.5.1 Partnerships, Collaborations, and Agreements:
- 16.3.6 SWOT Analysis
- 16.4 IBM Corporation
- 16.4.1 Company Overview
- 16.4.2 Financial Analysis
- 16.4.3 Regional & Segmental Analysis
- 16.4.4 Research & Development Expenses
- 16.4.5 Recent strategies and developments:
- 16.4.5.1 Product Launches and Product Expansions:
- 16.4.6 SWOT Analysis
- 16.5 Darktrace Holdings Limited
- 16.5.1 Company Overview
- 16.5.2 Recent strategies and developments:
- 16.5.2.1 Product Launches and Product Expansions:
- 16.5.2.2 Acquisition and Mergers:
- 16.6 Google LLC
- 16.6.1 Company Overview
- 16.6.2 Financial Analysis
- 16.6.3 Segmental and Regional Analysis
- 16.6.4 Research & Development Expenses
- 16.6.5 Recent strategies and developments:
- 16.6.5.1 Product Launches and Product Expansions:
- 16.6.6 SWOT Analysis
- 16.7 Anthropic PBC
- 16.7.1 Company Overview
- 16.8 Salesforce, Inc.
- 16.8.1 Company Overview
- 16.8.2 Financial Analysis
- 16.8.3 Regional Analysis
- 16.8.4 Research & Development Expenses
- 16.8.5 SWOT Analysis
- 16.9 NVIDIA Corporation
- 16.9.1 Company Overview
- 16.9.2 Financial Analysis
- 16.9.3 Segmental and Regional Analysis
- 16.9.4 Research & Development Expenses
- 16.9.5 Recent strategies and developments:
- 16.9.5.1 Product Launches and Product Expansions:
- 16.9.6 SWOT Analysis
- 16.10. SentinelOne, Inc.
- 16.10.1 Company Overview
- 16.10.2 Recent strategies and developments:
- 16.10.2.1 Partnerships, Collaborations, and Agreements:
- 16.10.2.2 Product Launches and Product Expansions:
- 16.10.2.3 Acquisition and Mergers:
- 16.10.3 SWOT Analysis
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