Container Security Market Size and Share

Container Security Market Analysis by Mordor Intelligence
The container security market size reached USD 3.69 billion in 2026 and is forecast to advance to USD 9.42 billion by 2031, reflecting a 20.66% CAGR during 2026-2031. Growth is fueled by mandatory software-bill-of-materials controls in PCI-DSS 4.0, NIS2, and emerging SBOM legislation, the rapid pivot to microservices, and a steady rise in supply-chain exploits targeting container images. Vendors are embedding image scanning, runtime telemetry, and policy-as-code into CI/CD workflows to satisfy these compliance and threat pressures. North America remains the largest regional buyer because U.S. financial-services and healthcare enterprises must log every container execution for audit, while Asia-Pacific shows the fastest expansion on the back of China’s sovereign-cloud rules and India’s digital-public-infrastructure rollout. Competition is intense as hyperscale clouds bundle native protection, prompting independent vendors to focus on agentless scanning, eBPF runtime data, and policy automation.
Key Report Takeaways
- By component, platforms and software captured 63.13% of 2025 container security market share, while services are projected to post a 21.41% CAGR to 2031.
- By organization size, large enterprises contributed 71.28% of 2025 revenue; small and medium enterprises are forecast to grow at a 22.93% CAGR through 2031.
- By deployment, on-premise environments held 58.47% of 2025 revenue, yet cloud-based offerings are expected to expand at a 23.11% CAGR during 2026-2031.
- By security control, image scanning accounted for 46.72% of 2025 spending, but runtime protection is projected to rise at a 21.18% CAGR to 2031.
- By end-user industry, IT and telecom led with 29.81% of 2025 sales, while healthcare and life sciences are forecast to grow at 23.76% through 2031.
- By geography, North America dominated with a 42.42% share in 2025, while the Asia Pacific is moving ahead at a 22.64% CAGR.
Note: Market size and forecast figures in this report are generated using Mordor Intelligence’s proprietary estimation framework, updated with the latest available data and insights as of January 2026.
Global Container Security Market Trends and Insights
Drivers Impact Analysis
| Driver | (~)% Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Rising adoption of hybrid and multi-cloud container workloads | +4.20% | Global, with Asia-Pacific leading adoption | Medium term (2-4 years) |
| Rapid shift toward micro-services and DevSecOps pipelines | +3.80% | North America and EU, expanding to Asia-Pacific | Short term (≤ 2 years) |
| Mandatory security mandates (e.g., PCI-DSS 4.0, NIS2, SBOM) | +3.10% | EU-driven globally, US financial sector | Long term (≥ 4 years) |
| Rising frequency of supply-chain attacks on container images | +2.90% | Global, concentrated in developed markets | Short term (≤ 2 years) |
| Proliferation of edge and 5G container runtimes | +2.70% | Asia-Pacific core, spill-over to MEA | Medium term (2-4 years) |
| Hardware-level container isolation innovations | +1.80% | North America and EU technology hubs | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Rising Adoption of Hybrid and Multi-Cloud Container Workloads
Eighty percent of enterprises now run workloads across two or more public clouds, which fragments identity management and multiplies misconfiguration risk. Security teams seek Kubernetes posture-management tools that normalize AWS, Azure, and Google policies inside one dashboard. NIS2 requires supply-chain assessments for critical infrastructure, so multi-cloud users must add provenance tracking and cryptographic attestation to container registries. PCI-DSS 4.0 extends continuous monitoring mandates to ephemeral containers, reinforcing demand for real-time visibility across hybrid estates.[1]PCI Security Standards Council, “PCI-DSS 4.0 Requirements and Testing Procedures,” pcisecuritystandards.org Financial institutions and payment processors therefore invest heavily in unified scanning and runtime analytics.
Rapid Shift Toward Microservices and DevSecOps Pipelines
GitHub’s Advanced Security for Azure DevOps introduced secret scanning and dependency review within pull requests, shrinking the gap between code commit and remediation. Teams must codify policies using Open Policy Agent or admission webhooks so developers can consume rules without friction. AI and machine-learning containers grew fivefold year over year, exposing new inference APIs that attackers probe for data exfiltration. Runtime anomaly detection through eBPF probes baselines syscall behavior and flags cryptomining or privilege escalation, but tuning models to limit false positives remains difficult.
Mandatory Security Mandates (PCI-DSS 4.0, NIS2, SBOM)
PCI-DSS 4.0 requirement 6.3.3 makes software inventories compulsory, effectively enforcing SBOM generation for payment workloads. Docker’s native SPDX and CycloneDX output embeds dependency data at build time, easing audits. NIS2 extends obligations to cloud operators, compelling container-platform vendors to align with ETSI EN 303 645 when orchestrating edge workloads. Binary Authorization in Google GKE enforces signed images only, matching NIST guidance and giving European banks a ready-made attestation path. Healthcare and finance organizations face the highest penalties for non-compliance, driving accelerated adoption.
Rising Frequency of Supply-Chain Attacks on Container Images
Three critical runc flaws disclosed in November 2025 proved that container escapes still threaten every Kubernetes distribution. Attackers increasingly poison upstream base images, inserting backdoors that developers trust by default. Amazon Inspector now scans images at push time and blocks critical CVEs before deployment. Microsoft Defender for Containers correlates image vulnerabilities with runtime calls, prioritizing patches for packages actually executed. Distroless images reduce attack surface but complicate debugging, forcing teams to balance security and operability.
Restraints Impact Analysis
| Restraint | (~)% Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
|---|---|---|---|
| Shortage of container-security skillsets in DevOps teams | -2.80% | Global, acute in emerging markets | Medium term (2-4 years) |
| Operational complexity of multi-cloud and multi-cluster estates | -2.10% | Enterprise-focused, North America and EU | Short term (≤ 2 years) |
| Alert-fatigue and false-positive overload | -1.60% | Global, affecting security operations centers | Short term (≤ 2 years) |
| Advanced container-escape kill-chains | -1.30% | High-security environments globally | Long term (≥ 4 years) |
| Source: Mordor Intelligence | |||
Shortage of Container-Security Skillsets in DevOps Teams
The global cybersecurity talent gap stands at 4.8 million, and Kubernetes expertise is even rarer.[2] ISC2, “Cybersecurity Workforce Study 2024,” isc2.org DevOps engineers often lack threat-modeling skills, and analysts unfamiliar with pods struggle to interpret audit logs. Managed Kubernetes services now embed hardened defaults, yet human judgment remains vital for novel attack chains. Training programs cannot match quarterly Kubernetes releases, forcing many enterprises to outsource monitoring and forensics.
Operational Complexity of Multi-Cloud and Multi-Cluster Estates
Organizations juggle dozens of clusters across AWS, Azure, and Google Cloud, each with different ingress, network, and secret frameworks. Red Hat Advanced Cluster Security centralizes views but needs custom connectors for every provider.[3]Red Hat, “OpenShift Advanced Cluster Security Overview,” redhat.comMisconfiguration scanners surface thousands of alerts per cluster, overwhelming staff who must separate genuine risk from noise. GitOps helps codify desired state, but demands rigid change discipline. Service-mesh overlays further complicate debugging when mutual TLS certificates or sidecar proxies malfunction.
Segment Analysis
By Component: Services Gain as Enterprises Outsource Policy Tuning
Platform and software offerings led the container security market size with 63.13% of 2025 revenue. Integrated suites delivering image scanning, admission control, and eBPF runtime monitoring dominate because buyers prefer a single interface for policy creation and compliance reporting. Managed services are projected to grow at a 21.41% CAGR, outpacing overall growth as enterprises hire providers to tune rules and triage incidents 24/7. Professional engagements focus on threat modeling and least-privilege policy design for microservices. This outsourcing trend highlights the shortage of in-house expertise and positions service providers as strategic partners in continuous security improvement.
Aqua Security, Sysdig, and Palo Alto Networks bundle consulting with product subscriptions, while cloud providers wrap advisory support into premium tiers. As a result, the container security market continues shifting from pure-play software toward hybrid delivery models that blend platforms with managed detection and response.

By Organization Size: SMEs Accelerate Cloud-Native Adoption
Large enterprises represented 71.28% of 2025 spending because regulated verticals maintain hundreds of clusters that require premium solutions. These buyers integrate container telemetry with SIEM and SOAR to speed remediation. Small and medium enterprises, in contrast, favor lightweight scanners and cloud-native policies that ship with managed Kubernetes. The segment is expected to deliver a 22.93% CAGR as cloud providers embed default protection, closing capability gaps and lowering barriers to entry.
SMEs tap agentless scanning from vendors like Wiz, anchoring security directly in CI pipelines without dedicated staff. Community projects such as Falco give startups baseline runtime defense at zero licensing cost, letting scarce budgets fund growth. The democratization of functionality broadens the container security industry customer base and diversifies revenue away from only large buyers.
By Security Control: Runtime Protection Rises as Static Scans Plateau
Static image scanning owned 46.72% of 2025 revenue, but customers increasingly recognize that only 6% of registry vulnerabilities manifest at runtime. Runtime protection and anomaly detection are projected to expand at a 21.18% CAGR. eBPF agents collect granular syscall and network data, establishing behavioral baselines that expose cryptomining, data exfiltration, or unauthorized privilege escalations.
The integrated approach pairs admission controllers that block risky images with runtime engines that watch live workloads, correlating findings to prioritize patches that matter. This convergence helps security teams reduce alert volume and focus on active threats, reinforcing runtime analytics as the next growth vector.
By Deployment: Cloud Gains Despite On-Premise Inertia
On-premise clusters held 58.47% of 2025 revenue because defense, intelligence, and critical-infrastructure operators keep air-gapped environments for data sovereignty. The container security market size inside these sectors is stable but grows slowly. Cloud deployments are forecast to rise at a 23.11% CAGR as hybrid architectures become mainstream. Hardware-level isolation, agentless posture management, and unified dashboards reduce historic objections to public-cloud security.
Confidential computing chips now underpin many regulated workloads, while centralized scanning normalizes findings across EKS, AKS, and GKE. Edge scenarios introduce micro-Kubernetes on devices, pushing vendors to offer light collectors and offline policy enforcement to maintain protection when connectivity drops.

By End-User Industry: Healthcare Surges on HIPAA Cloud Migration
IT and telecom operators led spending with 29.81% of 2025 sales because containerized 5G cores and network functions require low-latency security. Healthcare and life sciences should grow at 23.76% through 2031 as HIPAA guidance now labels cloud providers as business associates, compelling encryption, detailed audit logs, and SBOMs for medical data. Banks and payment processors remain heavy buyers due to PCI-DSS 4.0 continuous monitoring mandates, while retail adopts Kubernetes for seasonal scalability and relies on runtime protection to detect credential-stuffing attacks.
Industrial manufacturers place operational technology workloads onto edge Kubernetes, blending IT and OT realms and creating demand for security that respects real-time constraints yet still logs every packet for forensics.
Geography Analysis
North America delivered 42.42% of 2025 revenue thanks to stringent HIPAA, PCI-DSS, and SOC 2 rules that force enterprises to deploy container security market controls in every DevSecOps stage. U.S. hyperscalers accelerate adoption by bundling native features, while Canada’s banks implement posture management to satisfy OSFI cyber guidelines. Mexico’s manufacturers, bolstered by nearshoring, deploy containerized apps and adopt security scanning to protect supply chains.
Asia-Pacific is forecast to grow at 22.64% through 2031. China’s sovereign-cloud directives require domestic stacks, driving demand for local security platforms that map Kubernetes settings to national standards. India’s digital public infrastructure containerizes citizen services, introducing scale that mandates automated runtime visibility. Japan’s factories and South Korea’s telecoms use edge Kubernetes for IoT and 5G, relying on lightweight eBPF telemetry to guard latency-sensitive flows. Australia’s regulators issued cloud-risk guidelines, prompting banks to adopt Kubernetes posture management.
Europe benefits from NIS2, which took effect in October 2024 and expands requirements to every managed-service provider across 27 states. Germany’s BaFin rules and the UK’s operational resilience framework extend to containers, driving platform investments. France’s health-data regulations demand cryptographic attestation before containers touch patient records. Southern Europe experiences uplift as telcos deploy containerized 5G with runtime protection tuned for throughput.
The Middle East accelerates under Saudi Arabia’s Vision 2030 and UAE digital mandates, pushing government and state entities onto cloud-native platforms that need robust security. Turkey’s financial regulators craft cloud frameworks that spur container security adoption. Africa remains early stage; South African banks pilot runtime analytics, Nigerian fintechs use agentless scanners, and Egypt digitalizes services, though skills gaps slow momentum. South America grows as Brazil’s banks embrace Kubernetes for payments, but currency volatility tempers large upfront commitments.

Competitive Landscape
The container security market shows moderate concentration. Hyperscalers AWS, Microsoft, and Google bundle inspection, admission control, and runtime alerts with their managed Kubernetes offerings, squeezing pure-play vendors on price. Independent providers answer with agentless discovery, deep eBPF analytics, and policy-as-code. Palo Alto Networks offers Prisma Cloud to unify container, serverless, and CSPM in one console, while Aqua and Sysdig court DevOps teams with API-first designs.
Acquisitions cluster around SBOM creation, admission-controller engines, and runtime analytics to deliver unified end-to-end stacks. Open-source projects such as Falco, Open Policy Agent, and Sigstore provide building blocks that vendors package with enterprise support.
Edge computing creates new white space where lightweight collectors and offline enforcement become differentiators. Platform-engineering teams expect self-service security, so vendors prioritize GitOps integration over traditional GUIs.
Container Security Industry Leaders
Google Cloud Security
Red Hat, Inc.(IBM Corporation)
Trend Micro Incorporated
Qualys, Inc.
Rapid7, Inc.
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- January 2026: Google Cloud enabled Security Command Center to feed real-time container escape alerts into GKE Autopilot clusters, strengthening managed runtime defense.
- November 2025: Three critical runc flaws (CVE-2025-31133, CVE-2025-52565, CVE-2025-52881) forced emergency patches across Docker, containerd, and CRI-O.
- October 2025: Microsoft Defender for Containers began ingesting telemetry from AWS EKS and Google GKE, adding a multi-cloud context to Azure-first analytics.
- September 2025: Palo Alto Networks linked Prisma Cloud with GitHub Advanced Security to let developers block vulnerable images during pull requests.
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Our study defines the container security market as revenues earned from software platforms and associated support services that scan container images, enforce runtime protection, manage vulnerabilities, and assure policy compliance across Kubernetes, Docker, and other containerized workloads that run in public cloud, private cloud, or on-premise clusters. According to Mordor Intelligence analysts, the frame of reference is end-user spend, not vendor bookings or device counts.
Scope Exclusions: Host operating-system hardening tools and firewalls that do not expose container-level telemetry are outside the modeled market.
Segmentation Overview
- By Component
- Platform / Software
- Services
- By Organisation Size
- Large Enterprises
- Small and Medium Enterprises
- By Security Control
- Image Scanning and Vulnerability Management
- Runtime Protection and Anomaly Detection
- Compliance and Configuration Management
- By Deployment
- Cloud-Based
- On-Premise
- By End-User Industry
- IT and Telecom
- BFSI
- Retail and e-Commerce
- Healthcare and Life Sciences
- Industrial and Manufacturing
- Other End-User Industries
- By Geography
- North America
- United States
- Canada
- Mexico
- South America
- Brazil
- Argentina
- Rest of South America
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Australia
- Rest of Asia Pacific
- Middle East
- Saudi Arabia
- United Arab Emirates
- Turkey
- Rest of Middle East
- Africa
- South Africa
- Nigeria
- Egypt
- Rest of Africa
- North America
Detailed Research Methodology and Data Validation
Primary Research
Mordor analysts interviewed CISOs, DevSecOps architects, and managed security service providers across North America, Europe, and Asia-Pacific. Dialogue centered on protection budgets per container host, expected shift from image scanning to runtime defense, and typical refresh cadences. Responses validated secondary assumptions and clarified regional discount structures that desk work alone cannot surface.
Desk Research
We collated baseline signals from open datasets such as NIST's National Vulnerability Database, CNCF's annual Cloud Native survey, shipment trends in IDC's cloud system tracker, and regional cloud-spend statistics from the International Telecommunication Union. Company 10-Ks, investor decks, and security advisories were screened to benchmark average selling prices and adoption cycles. Premium feeds from Dow Jones Factiva and D&B Hoovers added context on funding rounds and M&A that affect vendor capacity. These sources illustrate, not exhaust, the literature reviewed; many additional publications informed data cleaning, cross-checks, and gap filling.
Market-Sizing & Forecasting
A top-down construct begins with the global container workload pool that is rebuilt from hyperscale usage statistics and CI/CD pipeline volumes, which are then multiplied by verified security spend per workload tier to derive the baseline value. Supplier roll-ups, sampled platform pricing, and channel checks supply bottom-up guardrails that reconcile the total within a specified band. Key model drivers include: (1) percentage of cloud workloads deployed in containers, (2) mean container image pulls per month, (3) published CVE growth rate, (4) compliance audit frequency in regulated sectors, and (5) regional cloud capital expenditure. A multivariate regression, supplemented by scenario analysis for aggressive and conservative adoption paths, projects revenue through the forecast period; anomalies trigger re-runs before values are locked.
Data Validation & Update Cycle
Outputs pass three layers of analyst review, variance checks against disclosed vendor earnings, and statistical outlier tests. We refresh every twelve months, with interim updates when sizable funding rounds, zero-day exploits, or regulatory mandates materially sway assumptions.
Why Mordor's Container Security Baseline Is Dependable
Published figures often diverge because firms apply different workload counts, bundle adjacent segments, or update less frequently. By centering on end-user spend and balancing macro indicators with frontline price discovery, Mordor delivers a traceable, balanced anchor.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver |
|---|---|---|
| USD 3.05 B (2025) | Mordor Intelligence | - |
| USD 2.35 B (2024) | Global Consultancy A | Excludes professional services and uses older currency rates |
| USD 2.43 B (2024) | Industry Research Firm B | Bundles Kubernetes platform licensing, limited primary validation |
| USD 2.40 B (2024) | Digital Insights Journal C | Relies on vendor surveys only and omits Asia-Pacific spend |
The comparison shows that scope breadth, refresh cadence, and source diversity drive the observable gaps. Mordor's disciplined blend of public signals and practitioner insight therefore provides the most reliable starting point for strategic decisions.
Key Questions Answered in the Report
What is the projected CAGR for composable infrastructure through 2031?
The composable infrastructure space is expected to expand at 17.21% CAGR between 2026 and 2031.
Which component segment is growing fastest?
Orchestration software is forecast to advance at a 19.87% CAGR as fabric intelligence migrates from hardware into code.
How big is the North American share?
North America captured 38.54% of 2025 revenue, driven by hyperscaler adoption and Fortune 500 data-center consolidation.
Why are SMEs adopting composable platforms?
Consumption models like Lenovo TruScale and Dell APEX convert CapEx into operating expense, lowering entry barriers for SMEs.
What role does CXL play in composable infrastructure?
CXL 3.1 enables multi-level memory switching so thousands of devices share a single namespace with sub-200-nanosecond latency, unlocking elastic DRAM pools for large databases.
Which workload types dominate current deployments?
AI and ML and HPC workloads held 46.92% of 2025 revenue and continue to lead growth with an 18.19% CAGR.




