EU의 AI 감사 추적 소프트웨어 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the EU AI audit trail software market was valued at USD 0.63 billion in 2025, USD 0.79 billion in 2026, and is forecast to reach USD 2.81 billion by 2031, at a CAGR of 28.89% over 2026-2031.

This report is Segmented by Component (Software and Services), Compliance Function (Compliance Evidence and Reporting, Model and Data Lineage, and More), Deployment Model (Cloud, Hybrid, and On-Premises), Enterprise Size (Large Enterprises and Small and Medium-Sized Enterprises), End User (IT and Telecommunication, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

EU AI Audit Trail Software Market Trends and Insights

Phased EU AI Act Enforcement and Near-Term Compliance Deadlines

The EU AI Audit Trail Software Market is responding to a clear sequence of legal deadlines under Regulation (EU) 2024/1689. Rules for general-purpose AI models applied from August 2, 2025, and the European AI Office gained related enforcement responsibilities from August 2, 2026. Article 50 transparency requirements also apply from August 2, 2026, while the Digital Omnibus defers Annex III obligations until December 2, 2027. Germany's Cabinet approved the KI-MIG on February 11, 2026, which designates Bundesnetzagentur as the national AI supervisory authority and sets national sanction provisions. These dates require organizations to maintain time-stamped records, technical documentation, model cards, conformity assessment materials, and post-market monitoring reports, rather than relying solely on policy documents.

Extraterritorial Reach and EU Market-Access Exposure

The EU AI Act applies when an AI system is placed on the EU market, even when the provider is based outside the EU. This exposure places EU compliance requirements within global product, contracting, and governance decisions. The regulation allows fines of up to EUR 35 million (USD 38.1 million) or 7% of worldwide annual turnover for certain violations. Microsoft signed the EU AI Pact in January 2025 and aligned product configurations and contracts with prohibited-use provisions before the Commission's later guidance was finalized. This response shows why global providers are building EU-ready controls into their operating models instead of treating the rules as a regional add-on. The EU AI Audit Trail Software Market benefits when multinational providers need a common evidence architecture across products sold in several jurisdictions.

Unsettled Technical Standards and Moving Interpretive Guidance

The EU AI Audit Trail Software Market faces uncertainty due to the ongoing development of the detailed standards environment. Draft guidance on high-risk AI classification was published on May 19, 2026, and consultation ran through June 23, 2026. Buyers may need to revise configurations when guidance or harmonized standards become final. Only 12 of the 27 Member States had designated national competent authorities by mid-2026, which can create different enforcement expectations across countries. Organizations also face a shortage of staff who understand both AI system design and EU regulatory interpretation. These conditions can delay buying decisions and increase the need for services during implementation.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion of High-Risk AI Use Cases in Regulated Industries
2. Need for Continuous Evidence Across the AI Lifecycle
3. Fragmented Accountability Across Providers, Deployers, and Third-Party Model Vendors

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

Segment Analysis

Software accounted for 73.41% of revenue in 2025, making it the primary spending category for AI audit trail capabilities. SaaS governance platforms allow organizations to start classification, evidence collection, and reporting workflows without major capital expenditure. IBM watsonx.governance, Credo AI, Holistic AI, and Saidot offer tools for risk classification, evidence creation, and audit-ready reports. Their platforms map controls to the EU AI Act, ISO/IEC 42001, and the NIST AI Risk Management Framework. Microsoft reported that Azure AI Foundry Models and Microsoft Security Copilot achieved ISO/IEC 42001:2023 certification in 2025. IBM announced Sovereign Core in early 2026, with general availability targeted for mid-2026, to keep AI audit logs and telemetry within national boundaries. These features show why data residency and third-party assurance have become important in software selection.

Services are projected to grow at a 30.82% CAGR through 2031, the fastest rate in this segmentation. The work includes configuring logging pipelines, mapping data lineage, and preparing material for notified-body reviews. Organizations also need support in connecting ISO/IEC 42001 management system controls with AI Act requirements. This requirement is particularly pronounced when several suppliers contribute to a single AI deployment. IBM and Credo AI announced an OEM collaboration in April 2025 that incorporated Credo AI Policy Packs as IBM Compliance Accelerators within watsonx. governance. The arrangement demonstrates how specialized policy content can be brought into a larger platform offering. The EU AI Audit Trail Software Market industry, therefore, supports both reusable platform software and specialized implementation work.

Compliance evidence and reporting accounted for 27.74% of revenue in 2025, the largest functional category. Demand began with documentary obligations under Annex IV and Article 17 because many organizations needed structured records before the August 2026 deadlines. Model and data lineage are another established area, as Article 10 requires data governance. Runtime decision logging supports Article 12 requirements for operational records. Bias, fairness, and explainability audit supports Article 9 risk-management work. These functions reflect a move from general policy statements to controls that can be examined during assurance activity. Their continued use makes evidence reporting an important foundation for the EU AI Audit Trail Software Market.

Incident investigation and post-market monitoring are projected to grow at a 29.94% CAGR through 2031. Article 72 requires a monitoring framework, while Article 73 requires rapid reporting of serious incidents. The need is particularly strong in healthcare, as device manufacturers must maintain active post-market surveillance under both MDR Articles 83-86 and the AI Act Article 72. The MDCG guidance connects the documentation and surveillance expectations of these frameworks. A 2026 article in Frontiers in Digital Health stated that healthcare facilities using high-risk AI have mandatory deployment obligations for comprehensive audit log maintenance. This environment increases demand for records that remain usable after systems are deployed. It also favors platforms that integrate alerts, investigations, corrective actions, and reporting into a single control process.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Compliance Function
  • Compliance Evidence and Reporting
  • Model and Data Lineage
  • Runtime Decision Logging
  • Bias, Fairness and Explainability Audit
  • Incident Investigation and Post-Market Monitoring
• By Deployment Model
  • Cloud
  • Hybrid
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises
• By End User
  • IT and Telecommunication
  • BFSI
  • Automotive and Transportation
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Other End Users
• By Geography
  • Germany
  • United Kingdom
  • France
  • Russia
  • Spain
  • Rest of Europe

List of Companies Covered in this Report:

1. IBM Corporation
2. Microsoft Corporation
3. DataRobot, Inc.
4. Credo AI, Inc.
5. Fiddler Labs, Inc.
6. ArthurAI, Inc.
7. Protect AI, Inc.
8. Lakera AI AG
9. HiddenLayer, Inc.
10. CalypsoAI Corp.
11. WhyLabs, Inc.
12. Arize AI, Inc.
13. Robust Intelligence, Inc.
14. Aporia Technologies Ltd.
15. Monitaur, LLC
16. Naaia
17. EVE NeuroSystems LLC
18. Trustible, Inc.
19. Holistic AI Ltd.
20. ModelOp, Inc.
21. Saidot Oy
22. ParityBit, Inc.
23. Kindo AI, Inc.
24. Fairly AI, 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 Phased EU AI Act Enforcement and Near-Term Compliance Deadlines
  • 4.2.2 Extraterritorial Reach and EU Market-Access Exposure
  • 4.2.3 Expansion of High-Risk AI Use Cases in Regulated Industries
  • 4.2.4 Need for Continuous Evidence Across the AI Lifecycle
  • 4.2.5 Convergence of EU AI Act, ISO/IEC 42001, and NIST AI RMF Controls
  • 4.2.6 Procurement and Board-Level Demand for Demonstrable Responsible AI
• 4.3 Market Restraints
  • 4.3.1 Unsettled Technical Standards and Moving Interpretive Guidance
  • 4.3.2 Fragmented Accountability Across Providers, Deployers, and Third-Party Model Vendors
  • 4.3.3 Limited Availability of AI Governance and Conformity-Assessment Expertise
  • 4.3.4 Integration Friction Across Shadow AI, Legacy MLOps, and Multi-Cloud Estates
• 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
  • 5.1.2 Services
• 5.2 By Compliance Function
  • 5.2.1 Compliance Evidence and Reporting
  • 5.2.2 Model and Data Lineage
  • 5.2.3 Runtime Decision Logging
  • 5.2.4 Bias, Fairness and Explainability Audit
  • 5.2.5 Incident Investigation and Post-Market Monitoring
• 5.3 By Deployment Model
  • 5.3.1 Cloud
  • 5.3.2 Hybrid
  • 5.3.3 On-Premises
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium-Sized Enterprises
• 5.5 By End User
  • 5.5.1 IT and Telecommunication
  • 5.5.2 BFSI
  • 5.5.3 Automotive and Transportation
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Retail and E-Commerce
  • 5.5.6 Other End Users
• 5.6 By Geography
  • 5.6.1 Germany
  • 5.6.2 United Kingdom
  • 5.6.3 France
  • 5.6.4 Russia
  • 5.6.5 Spain
  • 5.6.6 Rest of Europe

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 IBM Corporation
  • 6.4.2 Microsoft Corporation
  • 6.4.3 DataRobot, Inc.
  • 6.4.4 Credo AI, Inc.
  • 6.4.5 Fiddler Labs, Inc.
  • 6.4.6 ArthurAI, Inc.
  • 6.4.7 Protect AI, Inc.
  • 6.4.8 Lakera AI AG
  • 6.4.9 HiddenLayer, Inc.
  • 6.4.10 CalypsoAI Corp.
  • 6.4.11 WhyLabs, Inc.
  • 6.4.12 Arize AI, Inc.
  • 6.4.13 Robust Intelligence, Inc.
  • 6.4.14 Aporia Technologies Ltd.
  • 6.4.15 Monitaur, LLC
  • 6.4.16 Naaia
  • 6.4.17 EVE NeuroSystems LLC
  • 6.4.18 Trustible, Inc.
  • 6.4.19 Holistic AI Ltd.
  • 6.4.20 ModelOp, Inc.
  • 6.4.21 Saidot Oy
  • 6.4.22 ParityBit, Inc.
  • 6.4.23 Kindo AI, Inc.
  • 6.4.24 Fairly AI, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment