기밀 컴퓨팅 소프트웨어 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the confidential computing software market size was valued at USD 3.25 billion in 2025 and estimated to grow from USD 3.91 billion in 2026 to reach USD 11.42 billion by 2031, at a CAGR of 23.91% during the forecast period (2026-2031).

This report is Segmented by Component (Software, and Services), Deployment Model (Cloud, Hybrid, and On-Premises), Enterprise Size (Large Enterprises, and Small and Mid-Sized Enterprises), End Users (Automotive and Transportation, Healthcare and Life Sciences, Retail and E-Commerce, Industrial Manufacturing, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Confidential Computing Software Market Trends and Insights

Regulatory Requirements for Data-in-Use Protection

Regulatory requirements are creating a durable source of demand for the Confidential Computing Software Market. The EU AI Act (Regulation 2024/1689) has been in effect since August 2024 and requires safeguards for personal data processed by high-risk AI systems. DORA became applicable in January 2025 and has increased attention on ICT risk management within financial services. Sweden's data protection authority concluded in May 2026 that trusted execution environments can serve as a safeguard under GDPR Article 32 when controllers retain control of attestation verification and encryption keys. This position came from an operational deployment involving Volvo Group, Ericsson, and CanaryBit. It moves attestation key control from an engineering detail to a governance issue for regulated organizations.

Expansion of Cloud and Hybrid-Cloud Workloads

The movement of sensitive workloads into cloud and hybrid environments is widening the use case for the Confidential Computing Software Market. Data is available in plaintext while a processor uses it, leaving a gap that conventional storage and network encryption do not close. Cloud providers have added confidential virtual machines and confidential containers to their standard compute catalogs, reducing activation to a configuration choice for compatible instances. Microsoft made AMD SEV-SNP confidential VMs generally available for Azure Government in February 2026, extending hardware-enforced protection to U.S. government workloads across classification levels. Google Cloud also confirmed confidential GKE nodes on G4 machine series with NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs in 2026. These offerings make confidential AI and data processing more accessible through existing cloud operating models.

High Implementation and Integration Costs

Implementation costs can limit adoption in the Confidential Computing Software Market, especially for organizations with limited technology budgets. Production deployments require compatible AMD SEV-SNP, Intel TDX, or NVIDIA Confidential Computing hardware. They also require application changes, attestation pipeline configuration, and integration with existing identity and key-management systems. Cloud confidential virtual machines reduce the burden of hardware procurement but do not remove retrofitting and attestation integration costs. Large enterprises can often justify these expenses based on compliance requirements and high-value workloads. Smaller organizations may delay deployment when hybrid architectures add on-premises and cloud integration costs.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Cybersecurity Threats Against Sensitive Workloads
2. Confidential AI Adoption for Sensitive Models and Data
3. Shortage of Confidential-Computing and Cryptography Skills

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

Segment Analysis

Software held 74.18% of revenue in 2025. Enterprises use enclave management platforms, confidential virtual machine software, and remote attestation tools to extend protection across current cloud and on-premises environments. These products can support deployment without a complete application redesign. Confidential AI software and confidential container software are receiving greater investment as organizations protect Kubernetes workloads and GPU-based inference. Enclave management and remote attestation software remain important recurring revenue categories because they support core operating requirements. The Confidential Computing Software Market size for services is projected to grow at a 25.82% CAGR from 2026 to 2031.

Services grow faster because multi-vendor TEE environments often require external support for implementation, integration, monitoring, and policy management within the Confidential Computing Software Market. Red Hat made Confidential Containers on bare metal generally available in 2026, bringing hardware-backed memory encryption and attestation to on-premises Kubernetes environments and expanding the serviceable use case for hybrid deployments. Fortanix also joined the Cisco Secure AI Factory, alongside the NVIDIA ecosystem, in March 2026. This placed confidential AI capabilities within a broader enterprise infrastructure offer.

Cloud captured 68.41% of revenue in 2025. Microsoft, Google Cloud, and Amazon Web Services have built confidential capabilities into their compute services, reducing the need for customers to operate compatible TEE hardware. On-premises deployments continue to matter for air-gapped, classified, and highly sensitive manufacturing workloads. Microsoft's February 2026 Azure Government release showed that government requirements can also be served through cloud-adjacent infrastructure. Red Hat's bare-metal support provides organizations with another option when they need greater separation from a cloud operator.

Hybrid deployments are projected to expand at a 24.63% CAGR between 2026 and 2031. Financial services, healthcare, and government organizations need local control for some workloads but cloud-scale capacity for analytics, AI inference, and disaster recovery. Hybrid architectures place the most sensitive processing on local TEE nodes while using confidential cloud virtual machines for additional capacity. Shared attestation policies can connect those environments under a common control model. The Confidential Computing Software Market is also gaining from Fortanix and NTT DATA's February 2026 partnership for sovereign AI factory deployments in India.

Complete Report Scope:

• By Component
  • Software
    • Confidential Virtual Machine Software
    • Confidential Container Software
    • Enclave Management Software
    • Remote Attestation Software
    • Confidential AI Software
  • Services
• By Deployment Model
  • Cloud
  • Hybrid
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Mid-sized Enterprises
• By End Users
  • IT and Telecommunication
  • BFSI
  • Automotive and Transportation
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Industrial Manufacturing
  • Other End Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America held 34.62% of the Confidential Computing Software Market share in 2025. The United States benefits from hyperscaler research and development, a large base of regulated enterprise buyers, and federal requirements for data-in-use protection. Microsoft expanded Azure Government confidential virtual machines across U.S. government classification levels in February 2026. This created a clearer procurement path for government users in FedRAMP-authorized environments. Canada also has cloud-adjacent financial services and healthcare organizations with data residency responsibilities.

Europe has a technically advanced buyer base, especially in Germany, the United Kingdom, and France. NIS2 obligations are encouraging investment among operators of essential services. The Swedish authority's May 2026 GDPR position offers a practical basis for organizations evaluating TEEs as a technical safeguard. A January 2026 European Commission proposal seeks to align cybersecurity requirements more closely across member states.

Asia-Pacific is projected to expand at a 25.73% CAGR between 2026 and 2031. China issued GB/T 45230-2025 in January 2025, with implementation beginning in August 2025, providing a formal basis for domestic TEE procurement. India's data sovereignty agenda is driving demand for secure AI infrastructure. The Fortanix and NTT DATA partnership for Indian AI factory deployments also serves the Confidential Computing Software Market. South America, the Middle East, and Africa remain early-stage regions, though Saudi Arabia, the UAE, Brazil, and Argentina show early demand in AI sovereignty, banking, fintech, and secure payment use cases.

1. Advanced Micro Devices, Inc.
2. Arm Holdings plc
3. NVIDIA Corporation
4. Microsoft Corporation
5. Alphabet Inc.
6. Amazon Web Services, Inc.
7. International Business Machines Corporation
8. Alibaba Group Holding Limited
9. Oracle Corporation
10. Fortanix, Inc.
11. Anjuna Security, Inc.
12. Edgeless Systems GmbH
13. Profian, Inc.
14. Opaque Systems, Inc.
15. Decentriq AG
16. Cosmian SA
17. Thales S.A.
18. Nillion Network
19. Enveil
20. HUB Cyber Security (Israel) Ltd.
21. Applied Blockchain Limited
22. Evervault Limited
23. Duality Technologies, Inc.
24. Zama SAS
25. Arcium AG
26. RISC Zero, Inc.
27. Enclaive GmbH

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 Regulatory Requirements for Data-in-Use Protection
  • 4.2.2 Expansion of Cloud and Hybrid-Cloud Workloads
  • 4.2.3 Rising Cybersecurity Threats Against Sensitive Workloads
  • 4.2.4 Confidential AI Adoption for Sensitive Models and Data
  • 4.2.5 Cross-Domain Data Collaboration Without Data Disclosure
  • 4.2.6 Remote Attestation as an Enterprise Procurement Requirement
• 4.3 Market Restraints
  • 4.3.1 High Implementation and Integration Costs
  • 4.3.2 Shortage of Confidential-Computing and Cryptography Skills
  • 4.3.3 Fragmented Attestation and Trust-Policy Ecosystems
  • 4.3.4 Performance Overhead and Exposure to TEE-Specific Attacks
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
    • 5.1.1.1 Confidential Virtual Machine Software
    • 5.1.1.2 Confidential Container Software
    • 5.1.1.3 Enclave Management Software
    • 5.1.1.4 Remote Attestation Software
    • 5.1.1.5 Confidential AI Software
  • 5.1.2 Services
• 5.2 By Deployment Model
  • 5.2.1 Cloud
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Enterprise Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Mid-sized Enterprises
• 5.4 By End Users
  • 5.4.1 IT and Telecommunication
  • 5.4.2 BFSI
  • 5.4.3 Automotive and Transportation
  • 5.4.4 Healthcare and Life Sciences
  • 5.4.5 Retail and E-Commerce
  • 5.4.6 Industrial Manufacturing
  • 5.4.7 Other End Users
• 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 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Russia
    • 5.5.3.5 Spain
    • 5.5.3.6 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Southeast Asia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East and Africa
    • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Rest of Middle East
    • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Advanced Micro Devices, Inc.
  • 6.4.2 Arm Holdings plc
  • 6.4.3 NVIDIA Corporation
  • 6.4.4 Microsoft Corporation
  • 6.4.5 Alphabet Inc.
  • 6.4.6 Amazon Web Services, Inc.
  • 6.4.7 International Business Machines Corporation
  • 6.4.8 Alibaba Group Holding Limited
  • 6.4.9 Oracle Corporation
  • 6.4.10 Fortanix, Inc.
  • 6.4.11 Anjuna Security, Inc.
  • 6.4.12 Edgeless Systems GmbH
  • 6.4.13 Profian, Inc.
  • 6.4.14 Opaque Systems, Inc.
  • 6.4.15 Decentriq AG
  • 6.4.16 Cosmian SA
  • 6.4.17 Thales S.A.
  • 6.4.18 Nillion Network
  • 6.4.19 Enveil
  • 6.4.20 HUB Cyber Security (Israel) Ltd.
  • 6.4.21 Applied Blockchain Limited
  • 6.4.22 Evervault Limited
  • 6.4.23 Duality Technologies, Inc.
  • 6.4.24 Zama SAS
  • 6.4.25 Arcium AG
  • 6.4.26 RISC Zero, Inc.
  • 6.4.27 Enclaive GmbH

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment