EU AI 법 컴플라이언스 소프트웨어 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the EU AI act compliance software market size was valued at USD 0.92 billion in 2025 and is estimated to grow from USD 1.14 billion in 2026 to reach USD 4.05 billion by 2031, at a CAGR of 28.06% during the forecast period (2026-2031).

This report is Segmented by Solution Type (Software, and Services), Compliance Function (Risk Classification, AI Lifecycle Governance and Monitoring, and More), Deployment Model (Cloud, Hybrid, and On-Premises), Enterprise Size (Large Enterprises, and Small and Medium-Sized Enterprises), End User (BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

EU AI Act Compliance Software Market Trends and Insights

Phased EU AI Act Enforcement and Near-Term Compliance Deadlines

The EU AI Act Compliance Software Market benefits from a phased compliance schedule that creates several purchasing points rather than a single deadline. Prohibitions in Article 5 have been in effect since February 2, 2025, and Article 50 transparency obligations apply from August 2, 2026. The revised schedule places the Annex III high-risk requirements on December 2, 2027, and the Annex I product-embedded AI requirements on August 2, 2028. This sequence encourages organizations to establish an inventory and documentation process before their most demanding obligations apply. Penalties can reach EUR 35 million (USD 9.37 million) or 7% of worldwide annual turnover for prohibited AI practices, which raises the financial importance of early controls. Organizations also need to align AI Act work with sector rules such as DORA and the Medical Device Regulation, which support demand for software that consolidates several compliance tasks into a single workflow.

Extraterritorial Reach and EU Market-Access Exposure

The EU AI Act Compliance Software Market has demand beyond EU-based organizations, as the Act covers certain AI system outputs used within the Union. This scope affects providers and deployers that operate from the United States, the United Kingdom, Singapore, and other markets but serve European customers. Providers of high-risk systems established outside the Union also need an authorized representative in the EU. Software can help these organizations assign responsibilities, retain records, and make evidence available across different locations. Cloud delivery is useful for distributed teams because it lets users maintain shared compliance workflows without building a separate internal platform in every country. The same need for cross-border coordination supports tools that connect EU requirements with related governance frameworks, including ISO/IEC 42001 and the NIST AI Risk Management Framework.

Unsettled Technical Standards and Moving Interpretive Guidance

The EU AI Act Compliance Software Market faces constraints due to the gap between legal obligations and the technical infrastructure required to demonstrate conformity. Harmonized standards had not yet been published in the Official Journal as of April 2026, leaving buyers less certain about the exact technical basis for some controls. The lack of formally designated notified bodies for AI Act assessments adds to this uncertainty. Software providers must configure workflows for requirements that may become more specific as standards and guidance mature. Buyers may delay decisions if they expect to revise a platform after detailed standards are issued. The updated timetable adds more time for preparation, but it also leaves organizations balancing immediate transparency duties with later high-risk obligations. Limited availability of AI governance and conformity-assessment expertise further slows implementation, especially where internal teams must interpret regulatory, technical, and sector-specific requirements together.

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 captured 72.41% of the EU AI Act Compliance Software Market share in 2025. The segment leads because organizations need practical tools for risk classification, technical documentation, monitoring, and management of conformity assessment. These functions are repeated across many AI systems and are difficult to manage consistently through spreadsheets or isolated legal reviews. A centralized platform can help teams document the system's purpose, identify applicable obligations, assign actions, and retain evidence. This makes software the primary delivery model for enterprises with broad AI inventories. The segment also fits organizations that need to update controls as guidance and internal policies change.

Services are forecast to grow at a 30.74% CAGR through 2031. Many organizations that selected a platform in 2025 are now moving into implementation, configuration, training, and audit-readiness work. This creates demand for specialist support that can translate requirements into internal procedures. Credo AI expanded its partner program in 2025 to include Databricks, Microsoft, and governance and risk specialists, illustrating the use of partner ecosystems for enterprise delivery. Smaller firms may also need guided services because they lack in-house legal and technical capacity. The mix of platforms and services can widen vendor revenue opportunities, although a larger services role can place pressure on margins.

Risk classification held 26.83% of the EU AI Act Compliance Software Market share in 2025. Classification is the starting point for a compliance program because organizations must determine whether a system is prohibited, high-risk, subject to transparency requirements, or subject to lower-level obligations. The process also helps teams identify the relevant owner, data sources, and required documentation. The European Commission's high-risk classification guidance supports a more structured approach to this work. Software can make classification more consistent by using repeatable questions and keeping the decisions connected to the system record. Lifecycle monitoring, data governance and lineage, and transparency and documentation management are related functions that become more important after the initial classification is complete.

Conformity assessment and audit management are forecast to grow at a 29.91% CAGR through 2031. Providers of high-risk AI systems will need to prepare technical documentation, complete applicable assessments, and register systems before placing them on the EU market under the revised timeline. The task requires evidence from product, engineering, legal, security, and operational teams. Software can reduce manual follow-up by linking controls, test results, documentation, and approvals into a single record. LatticeFlow AI launched AI Atlas in April 2026 to map AI governance frameworks to technical evaluations, an example of a product approach focused on verifiable evidence. This function becomes more valuable as organizations move from identifying systems to preparing an audit-ready compliance file.

Complete Report Scope:

• By Solution Type
  • Software
  • Services
• By Compliance Function
  • Risk Classification
  • AI Lifecycle Governance and Monitoring
  • Data Governance and Lineage
  • Transparency and Documentation Management
  • Conformity Assessment and Audit Management
• 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. Holistic AI Limited
2. Credo AI, Inc.
3. ModelOp, Inc.
4. Fairly AI Inc.
5. LatticeFlow AG
6. Fiddler Labs, Inc.
7. ArthurAI, Inc.
8. Aporia Technologies Ltd.
9. Monitaur, LLC
10. Trustible, Inc.
11. Modulos AG
12. Mindgard Ltd.
13. CalypsoAI Corp.
14. FairNow, Inc.
15. WhyLabs, Inc.
16. ComplyAI, Inc.
17. Parity Responsible AI, Inc.
18. Securiti.ai, Inc.
19. Truera, Inc.
20. Robust Intelligence, 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 Solution Type
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Compliance Function
  • 5.2.1 Risk Classification
  • 5.2.2 AI Lifecycle Governance and Monitoring
  • 5.2.3 Data Governance and Lineage
  • 5.2.4 Transparency and Documentation Management
  • 5.2.5 Conformity Assessment and Audit Management
• 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 Holistic AI Limited
  • 6.4.2 Credo AI, Inc.
  • 6.4.3 ModelOp, Inc.
  • 6.4.4 Fairly AI Inc.
  • 6.4.5 LatticeFlow AG
  • 6.4.6 Fiddler Labs, Inc.
  • 6.4.7 ArthurAI, Inc.
  • 6.4.8 Aporia Technologies Ltd.
  • 6.4.9 Monitaur, LLC
  • 6.4.10 Trustible, Inc.
  • 6.4.11 Modulos AG
  • 6.4.12 Mindgard Ltd.
  • 6.4.13 CalypsoAI Corp.
  • 6.4.14 FairNow, Inc.
  • 6.4.15 WhyLabs, Inc.
  • 6.4.16 ComplyAI, Inc.
  • 6.4.17 Parity Responsible AI, Inc.
  • 6.4.18 Securiti.ai, Inc.
  • 6.4.19 Truera, Inc.
  • 6.4.20 Robust Intelligence, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment