The Rest Of Europe Agentic AI Security Market was valued at $91.1 Million in 2026 and projected to reach to $827.1 Million by 2031, representing a compound annual growth rate of 44.4%. Rest Of Europe's Agentic AI Security Market is positioned for transformative growth as enterprises accelerate autonomous AI system implementations across diverse sectors.
| Market Size in | USD 26.32 MN |
| Market Forecast in | |
| CAGR | |
| Forecast Period | |
| Units Considered | Value (USD MN) |
Rest Of Europe's Agentic AI Security Market is projected to grow from $91.1 million in 2026 to $827.1 million by 2031, representing a robust 44.4% CAGR that outpaces the global average of 42%.
Rest Of Europe is rapidly scaling autonomous AI system deployments across financial services, healthcare, and manufacturing sectors, driving urgent demand for specialized security solutions tailored to regional compliance frameworks.
The region is establishing itself as a critical center for agentic AI adoption, with enterprises prioritizing advanced threat detection and autonomous agent protection to safeguard mission-critical operations.
Stringent European data protection regulations and emerging AI governance standards are compelling organizations across Rest Of Europe to invest heavily in comprehensive agentic AI security infrastructure.
| Report Metric | Details |
|---|---|
| Base Year | 2026 |
| Fastest Growing Segment | AGENT/ORCHESTRATION LAYER (Deployment Layer) |
| Forecast Period | 2026–2031 |
| Growth Rate | CAGR of 42% from 2026 to 2031 |
| Largest Segment | SEMI-AUTONOMOUS SYSTEMS (HUMAN-IN-THE-LOOP) (Level Of Autonomy) |
| Market Size Base Year (Billions) | ~USD 1.65 (2026) |
| Revenue Forecast (Billions) | ~USD 9.52 (2031) |
| Segments Covered | Offering, Type, Security Function, Deployment Layer, Level Of Autonomy, Organization Size, Vertical, Solution, Tool & Point Solution, Service, Managed Security Service |
11 segment dimensions are covered across the global market.
| Company | HQ | Ownership | Strongest segments |
|---|---|---|---|
| SENTINELONE | United States | Public Company | Endpoint & XDR (Singularity Core/Control/Complete),Cloud Security (workload and container protection),Identity Security & Exposure Management, |
| PALO ALTO NETWORKS | United States | Public Company | Network Security (Strata, VM-Series, CN-Series, subscriptions),SASE and Secure Access (Prisma Access, related services),Cloud Security (Cloud Native Application Protection, Code to Cloud), |
| OKTA | United States | Public Company | Workforce Identity (SSO, Adaptive MFA, Universal Directory, Device Access, Access Gateway),Customer Identity & CIAM (Universal Login, Auth0, Attack Protection, Passwordless, Organizations, Extensibility),Identity Governance & Administration (Lifecycle Management, Workflows, Identity Governance, Cross App Access), |
| CLOUDFLARE | United States | Public Company | Application Security (WAF, DDoS, Bot, API, SSL/TLS, Security Center),Application Performance & Network Services (CDN, DNS, Load Balancing, Magic WAN/Transit/Firewall, Spectrum),Zero Trust & SASE (ZTN Access, Secure Web Gateway, CASB, Email Security, RBI, DLP, One Client), |
| CROWDSTRIKE | United States | Public Company | Endpoint and Cloud Workload Security (Falcon core modules),Managed Security and Threat Intelligence,Security & Vulnerability / IT Operations Management, |
| CHECK POINT | Israel | Public Company | Mesh Network Security (firewalls, gateways, security management),Workspace Security Platform (endpoint, email, mobile, browser, XDR),Threat Exposure & AI Security Platforms, |
| SECURITI | United States | Public Company | Asset tokenization & issuance platform,Capital raising & distribution services,Secondary trading & liquidity solutions, |
SentinelOne is a United States-based cybersecurity company founded in 2013 with 3,000 employees that operates as a public company, providing endpoint protection and threat detection solutions.
Palo Alto Networks is a United States-based cybersecurity company founded in 2005 with 21,491 employees that operates as a public company, offering comprehensive network security and cloud protection solutions.
Okta is a United States-based identity and access management company founded in 2009 with 6,366 employees that operates as a public company, providing cloud-based authentication and authorization services.
Cloudflare is a United States-based company founded in 2009 with 5,483 employees that operates as a public company, offering content delivery network and cybersecurity services.
CrowdStrike is a United States-based cybersecurity company founded in 2011 with 11,157 employees that operates as a public company, specializing in endpoint detection and response solutions.
Check Point is an Israel-based cybersecurity company founded in 1993 with 6,825 employees that operates as a public company, offering network security, threat prevention, and data protection solutions.
Securiti is a United States-based public company founded in 2017 with 194 employees that provides data security and compliance management solutions.
Rest Of Europe's Agentic AI Security Market is forecast to reach $827.1 million by 2031, growing from $91.1 million in 2026.
Rest Of Europe's Agentic AI Security Market is expected to grow at a compound annual growth rate of 44.4% between 2026 and 2031.
Rest Of Europe's financial services, healthcare, manufacturing, and enterprise technology sectors are the primary drivers of agentic AI security adoption and investment.
Rest Of Europe's 44.4% CAGR exceeds the global market CAGR of 42%, positioning the region as a high-growth priority market for agentic AI security vendors.
Rest Of Europe's stringent data protection regulations, AI governance frameworks, and compliance requirements are accelerating enterprise investment in agentic AI security infrastructure.
Secondary research was conducted to collect information useful for this technical, market-oriented, and commercial study of the agentic AI security market. The next step involved validating these findings, assumptions, and sizing with industry experts across the value chain using primary research. Different approaches, including top-down and bottom-up methods, were employed to estimate the total market size. After that, the market breakup and data triangulation procedures were used to estimate the market size of the segments and subsegments of the agentic AI security market.
During the secondary research process, various secondary sources were consulted to identify and collect information relevant to the study. The secondary sources included annual reports, press releases, investor presentations of Agentic AI security vendors, forums, certified publications, and white papers. The secondary research was mainly used to obtain key information about the industry’s supply chain, the total pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from both market- and technology-oriented perspectives, all of which were further validated by primary sources.
In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side included various industry experts, including chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology and innovation directors, and related key executives from various key companies and organizations operating in the agentic AI security market.
In the market engineering process, top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and forecasting for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to list key information/insights throughout the report.
After the complete market engineering process (including calculations for market statistics, market breakups, market size estimations, market forecasts, and data triangulation), extensive primary research was conducted to gather information and verify & validate the critical numbers arrived at. The primary research was also conducted to identify the segmentation types, industry trends, competitive landscape of Agentic AI security market players, and key market dynamics, such as drivers, restraints, opportunities, challenges, industry trends, and key strategies.
Following is the breakup of the primary study:
Please note the following classifications for companies based on their revenues:
- Tier 1 companies generate revenues exceeding USD 10 billion.
- Tier 2 companies have revenues ranging from USD 1 billion to USD 10 billion.
- Tier 3 companies earn revenues between USD 500 million and USD 1 billion.
To know about the assumptions considered for the study, download the pdf brochure
Top-down and bottom-up approaches were employed to estimate and validate the size of the agentic AI security market, as well as the size of various dependent subsegments within the overall agentic AI security market. The research methodology used to estimate the market size includes the following details: critical players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure involved studying the annual and financial reports of the top market players and conducting extensive interviews with key industry leaders, including CEOs, VPs, directors, and marketing executives, to gather valuable insights.
All percentage splits and breakdowns were determined using secondary sources and verified through primary sources. All possible parameters that affect the market covered in this research study were accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. This data was consolidated and added to detailed inputs and analysis from MarketsandMarkets.

The market was split into several segments and subsegments after arriving at the overall market size using the market size estimation processes explained above. The data triangulation and market breakup procedures were employed, wherever applicable, to complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment. The data was triangulated by studying various factors and trends from both the demand and supply sides.
According to MarketsandMarkets, agentic AI security refers to the set of technologies, solutions, and practices designed to protect autonomous AI agents, models, and their interactions across enterprise environments. It focuses on securing AI decision-making processes, agent behavior, data flows, and system integrations to prevent threats such as manipulation, unauthorized actions, and data leakage in agent-driven systems.
With the given market data, MarketsandMarkets offers customizations based on company-specific needs. The following customization options are available for the report:
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