헬스케어 제로 트러스트 보안 분야 AI 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI in healthcare zero-trust security market size is expected to grow from USD 1.67 billion in 2025 to USD 1.95 billion in 2026 and is forecasted to reach USD 4.95 billion by 2031 at 20.48% CAGR over 2026-2031.

This report is Segmented by Component (Solutions and Services), Deployment Mode (Cloud and On-Premise), Application (Clinical Data Protection, and Others), End User (Healthcare Providers, Pharmaceutical and Biotech Companies, and Others), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America). The Market Forecasts are Provided in Terms of Value (USD).

Global AI In Healthcare Zero-Trust Security Market Trends and Insights

AI-Driven Micro-Segmentation Curbs Lateral Breach Spread

AI-driven micro-segmentation has become a practical growth driver because it automates a task that was once too complex for most hospital IT teams. In large health systems, thousands of devices and applications change status constantly, so manual least-privilege rules are hard to keep current without machine learning support. MultiCare Health System used identity-based microsegmentation across more than 40,000 connected devices in 13 hospitals and more than 350 clinics during a 2025-2026 program, and it ran the effort with 2 full-time equivalents against a benchmark of up to 14. This operational leverage matters in the AI in healthcare zero-trust security market because hospitals need segmentation that can adapt without interrupting clinical workflows. It also improves protection around imaging systems and other rarely patched assets, which are high-value attack paths in the AI in healthcare zero-trust security market. As more providers look for lower-touch deployment models, automated segmentation is becoming one of the clearest ways to turn zero-trust from concept into day-to-day clinical security practice.

Surge in Ransomware Targeting Connected Medical Devices

The AI in healthcare zero-trust security market is seeing strong demand from the sharp rise in ransomware pressure on healthcare operations. The FBI's Internet Crime Complaint Center logged 278 confirmed healthcare ransomware incidents in 2025, which kept cybersecurity near the top of budget agendas. Verizon's 2026 Data Breach Investigations Report found that ransomware was involved in 48% of healthcare breaches, up from 44%, across 1,492 tracked incidents. Connected devices widen the problem because 24% of organizations experienced a cyberattack on a connected device in 2026, and 80% of those attacks caused moderate or significant impact on patient care. Remote access exploitation targeting medical devices also rose from 28% in 2025 to 38% in 2026, which shows how attackers are moving toward always-on clinical endpoints. In response, the AI in healthcare zero-trust security market is shifting toward continuous device authentication and fine-grained traffic controls that can block lateral movement without forcing a full device refresh.

Skills Gap in AI-Security DevSecOps Talent

The main operational restraint on the AI in healthcare zero-trust security market is the shortage of people who can run AI-assisted security programs day to day. ISC2 reported a global cybersecurity workforce gap of more than 4 million professionals in 2025, which leaves many healthcare organizations without enough staff to tune policy engines, review model behavior, or maintain continuous verification. This shortage matters more in lean provider settings, where security teams often have to manage identity, devices, cloud workloads, and compliance with the same limited staff. Even when hospitals buy new platforms, deployment can slow because the hardest work begins after purchase, when teams must define policies, set behavioral baselines, and test exceptions across clinical operations. Smaller and rural providers face the sharpest strain because they cannot spread specialist labor across large estates or dedicated security functions. Vendors that reduce the need for specialist labor through automation and healthcare-specific templates are therefore gaining preference in the AI in healthcare zero-trust security market.

Other drivers and restraints analyzed in the detailed report include:

1. Regulatory Push for Zero-Trust in HIPAA and HITECH Updates
2. Rapid Cloud Adoption of Electronic Health Records
3. High TCO of Continuous Verification Frameworks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Solutions held 54.32% of the AI in healthcare zero-trust security market share in 2025, and is also projected to grow at 21.44% CAGR through 2031, which shows that software platforms still form the base layer of deployment. This category includes micro-segmentation engines, AI-driven identity and access management, behavioral analytics, and security monitoring integrations that give hospitals the telemetry needed for continuous policy refinement. Healthcare AI generated 71 billion AI and ML transactions across Zscaler's Zero Trust Exchange in 2025, and healthcare was the largest public-sector contributor by volume, which indicates that solution platforms are already handling clinical-scale activity rather than small pilots. This scale helps vendors train detection and access models on real operational behavior instead of relying only on static policy libraries. In the AI in healthcare zero-trust security industry, that feedback loop makes solution platforms harder to displace once they are embedded in clinical operations.

Services remain important because many health systems still need managed detection and response, implementation support, and compliance guidance around zero-trust rollouts. Service providers also help hospitals adapt generic platforms to medical device estates, clinical application flows, and audit documentation needs. Over time, the AI in healthcare zero-trust security market is likely to see services shift from basic deployment work toward model validation, audit support, and policy design for complex clinical environments.

Cloud held 56.34% share in the market and is also the fastest-growing deployment mode, with AI in healthcare zero-trust security market size for cloud-based delivery projected to rise at 22.25% CAGR through 2031. This growth reflects the need for one policy plane across hospitals, clinics, remote staff, and third-party applications that do not sit inside a single network boundary. Cloud delivery also gives buyers elasticity, so policy and inspection capacity can expand with admissions spikes, remote consultations, or data-intensive AI workloads. Illumio introduced an agentless visibility and breach containment platform for hybrid environments in February 2026, using existing firewall telemetry from Check Point and Fortinet to extend protection across mixed estates. That approach fits the AI in healthcare zero-trust security market because healthcare buyers want cloud-scale policy control without leaving older on-premise assets unmanaged.

On-premise deployment still holds a defined role in academic medical centers, government health systems, and research settings where air-gap requirements or data residency concerns limit full cloud migration. The hybrid model is therefore common, with centralized policy and distributed enforcement working together across cloud and local infrastructure. Healthcare organizations were using an average of 11 different cloud services at the same time in 2025, which helps explain why uniform policy is hard to maintain without a blended approach.

Complete Report Scope:

• By Component
  • Solutions
  • Services
• By Deployment Mode
  • Cloud
  • On-Premise
• By Application
  • Clinical Data Protection
  • Medical Device and IoMT Security
  • EHR and EMR Security
  • Healthcare Cloud Workload Security
  • Others
• By End User
  • Healthcare Providers
  • Pharmaceutical and Biotech Companies
  • Healthcare Payers
  • Others
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • GCC
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

North America held 49.36% of the AI in healthcare zero-trust security market share in 2025, giving the region the largest installed base and the strongest near-term buying power. The United States leads that position because it combines high breach exposure with proposed HIPAA changes that make microsegmentation a required control rather than a flexible option. Healthcare data breach costs in the United States reached USD 10.93 million in 2024, which gave boards a clear financial case for stronger access control and containment. Canada and Mexico add to regional growth through healthcare digitization and hospital network expansion, even though their adoption pace remains below the United States. Through 2031, the AI in healthcare zero-trust security market should keep finding stable demand in North America because compliance deadlines, insurer pressure, and enterprise procurement are moving in the same direction.

Asia-Pacific is projected to grow at 23.27% CAGR through 2031, making it the fastest-growing regional pocket. The region is expanding because digital health programs in India, Japan, South Korea, China, and Australia are increasing the number of cloud-connected records, devices, and remote care workflows that need verified trust controls. This creates a large runway for the AI in healthcare zero-trust security market, especially where governments are building national health data infrastructure and providers are moving into more connected care models. Providers in the region are also balancing growth with data residency rules, which makes federated learning and edge security a practical fit. The growth profile is also supported by stricter data governance expectations, which make privacy-preserving analytics and edge-based security more relevant across APAC deployments.

Europe holds a significant position in the market, with Germany setting the strongest formal direction through its TI 2.0 zero-trust program. The United Kingdom, France, Italy, and Spain are also advancing along the same path as critical-sector cyber rules and health system modernization programs push security spending higher. The Middle East, Africa, and South America remain earlier-stage opportunities in the AI in healthcare zero-trust security market, with adoption led by GCC digital health programs while broader uptake is still held back by slower capital refresh cycles.

1. Check Point Software Technologies
2. Cisco Systems
3. CrowdStrike Holdings
4. Cynerio
5. Fortinet
6. Google LLC (Google Cloud Security)
7. IBM
8. Illumio
9. Imperva
10. Juniper Networks
11. Medigate (Claroty)
12. Microsoft
13. Okta Inc.
14. Palo Alto Networks
15. Proofpoint Inc.
16. SentinelOne
17. Sophos Group PLC
18. Trellix
19. Trend Micro Inc.
20. Zscaler Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 AI-Driven Micro-Segmentation Reduces Lateral Threat Movement
  • 4.2.2 Rapid Cloud Adoption of Electronic Health Records (EHR)
  • 4.2.3 Surge In Ransomware Targeting Connected Medical Devices
  • 4.2.4 Regulatory Push for "Zero-Trust" in HIPAA and HITECH Updates
  • 4.2.5 Integration of Federated Learning for Privacy-Preserving Analytics
  • 4.2.6 Hospital-to-Home Tele-Monitoring Expansion Requiring Edge Trust
• 4.3 Market Restraints
  • 4.3.1 Skills Gap in AI-Security DevSecOps Talent
  • 4.3.2 Legacy On-Prem Devices Lacking Agent Support
  • 4.3.3 High TCO of Continuous Verification Frameworks
  • 4.3.4 Inter-Vendor Algorithmic Bias Risk in Patient-Data Models
• 4.4 Value-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Component
  • 5.1.1 Solutions
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud
  • 5.2.2 On-Premise
• 5.3 By Application
  • 5.3.1 Clinical Data Protection
  • 5.3.2 Medical Device and IoMT Security
  • 5.3.3 EHR and EMR Security
  • 5.3.4 Healthcare Cloud Workload Security
  • 5.3.5 Others
• 5.4 By End User
  • 5.4.1 Healthcare Providers
  • 5.4.2 Pharmaceutical and Biotech Companies
  • 5.4.3 Healthcare Payers
  • 5.4.4 Others
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 Australia
    • 5.5.3.5 South Korea
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 Middle East and Africa
    • 5.5.4.1 GCC
    • 5.5.4.2 South Africa
    • 5.5.4.3 Rest of Middle East and Africa
  • 5.5.5 South America
    • 5.5.5.1 Brazil
    • 5.5.5.2 Argentina
    • 5.5.5.3 Rest of South America

6 Competitive Landscape

• 6.1 Market Concentration
• 6.2 Market Share Analysis
• 6.3 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, Recent Developments)
  • 6.3.1 Check Point Software Technologies
  • 6.3.2 Cisco Systems
  • 6.3.3 CrowdStrike Holdings
  • 6.3.4 Cynerio
  • 6.3.5 Fortinet
  • 6.3.6 Google LLC (Google Cloud Security)
  • 6.3.7 IBM
  • 6.3.8 Illumio
  • 6.3.9 Imperva
  • 6.3.10 Juniper Networks
  • 6.3.11 Medigate (Claroty)
  • 6.3.12 Microsoft Corporation
  • 6.3.13 Okta Inc.
  • 6.3.14 Palo Alto Networks
  • 6.3.15 Proofpoint Inc.
  • 6.3.16 SentinelOne
  • 6.3.17 Sophos Group PLC
  • 6.3.18 Trellix
  • 6.3.19 Trend Micro Inc.
  • 6.3.20 Zscaler Inc.

7 Market Opportunities & Future Outlook

• 7.1 White-space & Unmet-need Assessment