Report cover image

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),

Published Sep 30, 2025
Length 194 Pages
SKU # KBV20463439

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
  • CrowdStrike Holdings, Inc.
  • Palo Alto Networks, Inc.
  • Microsoft Corporation
  • IBM Corporation
  • Darktrace Holdings Limited
  • Google LLC
  • Anthropic PBC
  • Salesforce, Inc.
  • NVIDIA Corporation
  • SentinelOne, Inc.
Europe Agentic AI In Cybersecurity Market Report Segmentation

By Component
  • Solution
  • Services
By Application
  • Threat Detection & Response
  • Vulnerability Management
  • Other Application
By Deployment
  • Cloud
  • On-premises
By End Use
  • IT & Telecom
  • BFSI
  • Government & Defense
  • Healthcare
  • Retail & E-commerce
  • Other End Use
By Country
  • 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
How Do Licenses Work?
Request A Sample
Head shot

Questions or Comments?

Our team has the ability to search within reports to verify it suits your needs. We can also help maximize your budget by finding sections of reports you can purchase.