공공 부문 에이전틱 AI 거버넌스 플랫폼 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agentic AI governance platform in public sector market size was valued at USD 6.12 billion in 2025 and is estimated to grow from USD 10.91 billion in 2026 to reach USD 44.09 billion by 2031, at a CAGR of 32.22% during the forecast period (2026-2031).

Global Agentic AI Governance Platform In Public Sector Market Trends and Insights

Public-Sector Digital Service Modernization

Government agencies across OECD countries used AI agents in permits, benefits, tax support, and border management during 2025 and 2026. These tools can work through incomplete records and ambiguous rules, which limits the usefulness of earlier automation controls. mapped 70 government functions by agentic AI potential and deployment complexity in April 2026. Agencies with modernized data can move into deployment faster than agencies with disconnected legacy systems. In the Agentic AI governance platform in public sector market, suppliers that join data integration with policy controls can address this difference. reported that transparency registries and procurement support infrastructure still lag in government, leaving an operational gap for governance platforms.

Mandatory AI Accountability and Assurance Requirements

Regulatory requirements shifted from guidance to enforceable obligations during 2025 and 2026, shortening procurement timelines. Italy enacted Law No. 132/2025, assigning AgID as a notifying authority for its national AI framework. Japan's 2025 AI law created a structured basis for government risk assessment and oversight. These rules make continuous records and clear responsibility more relevant when public services use AI systems. The Agentic AI governance platform in public sector market benefits where buyers need controls that map to multiple formal requirements. ISO/IEC 42001 alignment also provides agencies with a common reference point for assessing governance procedures.

Unresolved Legal Liability for Autonomous Public Decisions

An autonomous denial of a benefit claim or a security risk flag can make it difficult to assign responsibility. Existing administrative rules do not always separate the responsibilities of the agency, platform provider, and model developer. This uncertainty can delay procurement because legal teams need clearer exposure before approving deployments. It can also increase implementation costs when vendors include uncertainty in contract terms. The Agentic AI governance platform in public sector market faces this restraint even where technical controls are ready. Phased deployment and carefully defined contractual responsibilities can reduce friction until public rules become clearer.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Deployment of Autonomous Government Workflows
2. Demand for Sovereign and Audit-Ready AI Operations
3. Fragmented Cross-Border AI Rules and Procurement Controls

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

Segment Analysis

Platform held 64.23% of the 2025 Agentic AI governance platform in public sector market share because agencies preferred integrated suites over separate point tools. These suites bring policy enforcement, bias monitoring, explainability, and audit logging into a single working environment. A consolidated setup can reduce the burden of coordinating several suppliers and evidence stores. It is particularly useful when an agency needs common policies across several AI applications. Platform demand also reflects the need to monitor both models and autonomous agents. The preference for integrated control points supports the central role of platforms in public procurement.

Services are projected to grow at a 33.47% CAGR from 2026 to 2031 as agencies require configuration, calibration, and ongoing operational support. Many government IT teams do not yet have the specialist skills needed to continuously manage governance tooling. Managed services can therefore help agencies maintain their controls after implementation. Credo AI announced a January 2026 arrangement that made the platform available through NASA SEWP V, ITES-SW2, NASPO ValuePoint, TIPS, and OMNIA Partners. This approach aligns with government purchasing processes rather than requiring buyers to use commercial channels. It reinforces the services opportunity within the Agentic AI governance platform in public sector market.

Policy Management and Compliance captured 28.61% of the 2025 Agentic AI governance platform in public sector market share. Agencies need enforceable policies and a documented compliance record before other controls can carry institutional weight. This function provides the structure for reviewing whether systems operate within approved boundaries. It also creates a record that can be used in internal oversight and external review. Bias and fairness monitoring remains relevant for high-stakes work, including benefit decisions and predictive policing. Security, privacy, incident management, and performance monitoring address other risks that emerge as agents take actions across systems.

Explainability and Transparency is forecast to expand at a 33.84% CAGR through 2031. This pace reflects stronger expectations that citizen-facing AI decisions should be understandable and reviewable. The United Kingdom required algorithmic transparency reporting by central government departments in 2025, and 125 records had been published by midyear. Argentina's Public Procurement Directive No. 44/2026 established explainability as a requirement for government AI contracts. These requirements raise the value of tools that show how an AI output was reached. They also support broader adoption in the Agentic AI governance platform in public sector market.

Complete Report Scope:

• By Offering
  • Platform
  • Services
• By Governance Function
  • Policy Management and Compliance
  • Bias and Fairness Monitoring
  • Explainability and Transparency
  • Security and Privacy
  • Risk and Incident Management
  • Performance and Drift Monitoring
  • Other Governance Functions
• By Deployment Mode
  • Cloud
  • On-Premises
  • Hybrid
• By End User
  • Central and Federal Government
  • State, Provincial, and Regional Government
  • Local Government and Municipal Authorities
  • Defense and National Security Agencies
  • Public Healthcare Institutions
  • Public Education Institutions
  • Public Utilities and Infrastructure Authorities
• By Organization Size
  • Large Government Organizations
  • Small and Medium-Sized Government Organizations
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • 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
    • United Arab Emirates
    • Saudi Arabia
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America held 42.37% of the 2025 Agentic AI governance platform in public sector market share. U.S. federal purchasing channels and deployments across defense and intelligence agencies supported the region's position. Executive Order 14409, issued in June 2026, directed agencies to strengthen AI infrastructure against exploitation by adversaries and modernize government systems. This reinforces the importance of controls across civilian and defense uses. Federal requirements for auditable AI oversight also create demand for continuous records. The regional base rests on regulation, procurement infrastructure, and high-stakes deployment needs.

Canada launched its AI for All strategy in June 2026, extending accountability and procurement requirements across public-sector deployments. The strategy broadens the demand for governance beyond the federal tier and into provincial bodies. Asia-Pacific is the fastest-growing geography, with a 34.08% CAGR projected through 2031. Japan's 2025 law and ministry-level procurement guidance create formal governance requirements for national bodies. Singapore published its whole-of-government Agentic AI Primer in April 2025, placing governance and compliance among foundational design considerations. These actions place the Agentic AI governance platform in public sector market within several distinct national policy programs.

Europe held the second-largest share in 2025, supported by the EU AI Act enforcement environment in 2026. Germany paired 17 municipalities with AI startups through its Agentic AI Hub while also pursuing a national transparency register. This pairing shows that governments can support both deployment and oversight simultaneously. Middle Eastern public institutions are also showing interest in sovereign AI compliance capabilities. Brazil's 2025 regulatory sandbox and Argentina's 2026 procurement directive show growing policy activity in South America. Together, these regions extend the opportunity for the Agentic AI governance platform in public sector market beyond its current largest geography.

1. Credo AI, Inc.
2. Microsoft Corporation
3. International Business Machines Corporation
4. ModelOp, Inc.
5. Fiddler AI, Inc.
6. Arthur AI, Inc.
7. Monitaur, Inc.
8. Fairly AI, Inc.
9. DataRobot, Inc.
10. Saidot Oy
11. LatticeFlow AI AG
12. Lumenova AI, Inc.
13. Cranium AI, Inc.
14. Enzai Limited
15. Naaia SAS
16. Fruggr SAS
17. Corvair AI, Inc.
18. Clarifai, Inc.
19. Truera, Inc.
20. Superwise AI Ltd.

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 Public-Sector Digital Service Modernization
  • 4.2.2 Mandatory AI Accountability and Assurance Requirements
  • 4.2.3 Rising Deployment of Autonomous Government Workflows
  • 4.2.4 Demand for Sovereign and Audit-Ready AI Operations
  • 4.2.5 Agent Registries for Shadow-AI Discovery
  • 4.2.6 Cross-Agent Permission and Identity Complexity
• 4.3 Market Restraints
  • 4.3.1 Unresolved Legal Liability for Autonomous Public Decisions
  • 4.3.2 Fragmented Cross-Border AI Rules and Procurement Controls
  • 4.3.3 Prompt-Injection and Tool-Misuse Exposure in Citizen Services
  • 4.3.4 Evidence Retention Burden Across Long-Lived Government Records
• 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 Offering
  • 5.1.1 Platform
  • 5.1.2 Services
• 5.2 By Governance Function
  • 5.2.1 Policy Management and Compliance
  • 5.2.2 Bias and Fairness Monitoring
  • 5.2.3 Explainability and Transparency
  • 5.2.4 Security and Privacy
  • 5.2.5 Risk and Incident Management
  • 5.2.6 Performance and Drift Monitoring
  • 5.2.7 Other Governance Functions
• 5.3 By Deployment Mode
  • 5.3.1 Cloud
  • 5.3.2 On-Premises
  • 5.3.3 Hybrid
• 5.4 By End User
  • 5.4.1 Central and Federal Government
  • 5.4.2 State, Provincial, and Regional Government
  • 5.4.3 Local Government and Municipal Authorities
  • 5.4.4 Defense and National Security Agencies
  • 5.4.5 Public Healthcare Institutions
  • 5.4.6 Public Education Institutions
  • 5.4.7 Public Utilities and Infrastructure Authorities
• 5.5 By Organization Size
  • 5.5.1 Large Government Organizations
  • 5.5.2 Small and Medium-Sized Government Organizations
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Chile
    • 5.6.2.4 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Qatar
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Egypt
    • 5.6.6.3 Nigeria
    • 5.6.6.4 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 Credo AI, Inc.
  • 6.4.2 Microsoft Corporation
  • 6.4.3 International Business Machines Corporation
  • 6.4.4 ModelOp, Inc.
  • 6.4.5 Fiddler AI, Inc.
  • 6.4.6 Arthur AI, Inc.
  • 6.4.7 Monitaur, Inc.
  • 6.4.8 Fairly AI, Inc.
  • 6.4.9 DataRobot, Inc.
  • 6.4.10 Saidot Oy
  • 6.4.11 LatticeFlow AI AG
  • 6.4.12 Lumenova AI, Inc.
  • 6.4.13 Cranium AI, Inc.
  • 6.4.14 Enzai Limited
  • 6.4.15 Naaia SAS
  • 6.4.16 Fruggr SAS
  • 6.4.17 Corvair AI, Inc.
  • 6.4.18 Clarifai, Inc.
  • 6.4.19 Truera, Inc.
  • 6.4.20 Superwise AI Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment