데이터 카달로그 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the data catalog market size is expected to grow from USD 3.67 billion in 2025 to USD 4.39 billion in 2026 and is forecast to reach USD 10.75 billion by 2031 at 19.62% CAGR over 2026-2031.

This report is Segmented by Component (Solutions and Services), Deployment Mode (Cloud and On-Premise), End-User Industry (BFSI, Retail and E-Commerce, Healthcare, and More), Organization Size (Large Enterprises and Small and Mid-Size Enterprises), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Data Catalog Market Trends and Insights

Cloud-based catalog adoption surge

Cloud deployment now underpins 81.2% of implementations, reducing infrastructure overhead and speeding roll-outs to days instead of months. Distributed workforces rely on cloud catalogs for consistent access to governed data, and usage-based pricing introduced by Microsoft Purview in January 2025 aligns costs to asset volume. Cloud ecosystems also simplify integrations, allowing enterprises to connect diverse data stores while applying uniform policies. As analytics workloads migrate to public clouds at scale, demand for cloud-native catalogs will keep rising, fueling vendor innovation around elasticity, security, and cross-platform lineage.

Data-volume explosion and complexity

By 2025, unstructured information is projected to account for 80% of global data, forcing organizations to move beyond manual tagging toward automated discovery. Data lakes capture varied content, yet without a catalog, users struggle to locate reliable assets. Effective discovery cuts time-to-insight by up to 40% and improves conversion in customer applications. Healthcare providers deploy solutions such as IQVIA Health Data Catalog to profile more than 3,700 assets through a single portal. As variety and velocity accelerate, catalogs able to span structured and unstructured sources become strategic differentiators.

Standardization and security gaps

Inconsistent metadata models hamper interoperability, especially in healthcare, where differing clinical vocabularies lead to misinterpretation. Biomedical projects adopt frameworks such as DATS to encode diverse datasets, yet fragmentation persists. Security layers also vary across data sources, making it hard to enforce unified access through the catalog. Regional divergence in Asia-Pacific regulations risks data balkanization that could slow cross-border analytics.

Other drivers and restraints analyzed in the detailed report include:

1. Regulatory compliance mandates
2. Generative-AI metadata enrichment
3. Talent shortage in metadata management

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

Segment Analysis

Solutions accounted for 71.78% of 2025 revenue, confirming their role as the backbone of enterprise discovery and governance. Vendors now deliver automated lineage, AI-assisted enrichment, and granular policy enforcement through single interfaces that scan heterogeneous stores. This functionality positions solutions as the first stop in modernization programs, anchoring broader data intelligence strategies. At the same time, the services segment is expanding at 24.96% CAGR as enterprises seek guidance on operating models, policy design, and change management. Many engagements develop federated governance structures that distribute accountability while retaining global standards.

Across both segments, enterprises prioritize tight integration. Microsoft Purview's reference architecture encourages the definition of governance domains before scan configuration, highlighting the process maturity required for success. Service providers craft accelerators that codify best practices, reducing risk for first-time deployments. As solutions evolve into platforms and vendors wrap advisory and managed services around them, the traditional boundary between product and service blurs. This blend supports rapid adoption while ensuring organizations extract measurable value, sustaining long-term momentum for the data catalog market.

Cloud captured 80.55% share in 2025 and is forecast to rise at 23.85% CAGR, reflecting advantages in elastic scale and rapid provisioning. Consumption models let teams start small and expand as asset counts grow, aligning spend to value delivered. Microsoft's pay-as-you-go tariff, adopted in 2025, exemplifies this shift, charging only for unique governed assets and quality metrics. Cloud deployment also delivers automatic feature updates, shortening innovation cycles and ensuring immediate access to AI-driven enhancements.

Despite cloud momentum, on-premise catalogs remain important in sectors with strict data residency or legacy mainframe workloads. These organizations increasingly favor hybrid patterns, scanning sensitive stores in place while centralizing metadata in a secure cloud hub. Vendors respond with private-link connectivity and role-based access controls that enforce consistent policy regardless of location. This balance between agility and sovereignty sustains a diversified deployment landscape and broadens addressable demand for the data catalog market.

Complete Report Scope:

• By Component
  • Solutions
  • Services
• By Deployment Mode
  • Cloud
  • On-Premise
• By End-user Industry
  • BFSI
  • Retail and E-commerce
  • Healthcare
  • Manufacturing
  • Telecommunications
  • Other End-user Industries
• By Organization Size
  • Large Enterprises
  • Small and Mid-size Enterprises
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America retained leadership with a 41.62% share in 2025, supported by mature cloud infrastructure, advanced AI adoption, and stringent industry regulations. Enterprises in the United States integrate generative models into catalogs to automate profiling and improve lineage, addressing quality concerns reported by 46% of data practitioners. Canada follows similar trajectories in financial services and healthcare, while Mexico's fast-growing fintech sector spurs new deployments. Regional buyers favor solutions that pair deep compliance tooling with open connectivity, a profile that continues to shape vendor roadmaps.

Asia-Pacific is the fastest-expanding arena, growing at 23.62% CAGR through 2031. China, India, and Japan top AI investment rankings, prompting higher spending on robust data foundations. Governments tighten privacy and sovereignty rules, driving demand for tools that locate, classify, and tokenize personal data at rest and in motion. Challenges arise from fragmented policy landscapes and uneven skill availability, yet flexible architectures and managed services help enterprises keep pace. Local deployments increasingly blend global best practices with country-specific encryption and residency controls.

Europe advances on the back of GDPR-aligned governance. Data catalogs automate the detection of sensitive fields and record data lineage, letting firms demonstrate accountability under evolving AI rules. Industries in Germany and France extend catalog scope to supply-chain data for sustainability reporting. The Middle East and Africa see accelerated uptake from a small base, leveraging cloud to bypass legacy constraints. South America's digital initiatives, particularly in Brazil, extend catalog coverage to e-commerce and energy assets. Across regions, the common thread remains a need for transparent, policy-driven access that underpins both operational reporting and AI innovation, widening the data catalog market size globally.

1. Collibra NV
2. IBM Corporation
3. Microsoft Corporation
4. Informatica Inc.
5. Alation Inc.
6. Amazon Web Services, Inc.
7. Google LLC
8. Oracle Corporation
9. SAP SE
10. TIBCO Software Inc.
11. Atlan Pte Ltd.
12. data.world, Inc.
13. Zaloni, Inc.
14. Hitachi Vantara LLC
15. Talend (Snowflake)
16. MANTA Software
17. DataGalaxy SAS
18. Alex Solutions
19. Precisely Holdings
20. Cloudera (Apache Atlas)
21. Erwin Data Intelligence
22. Databricks Unity Catalog
23. Elastic (Elastic Search Data Catalog)
24. OpenMetadata (LF AI & Data)
25. Micro Focus Voltage

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 Cloud-based catalog adoption surge
  • 4.2.2 Data-volume explosion and complexity
  • 4.2.3 Regulatory compliance mandates
  • 4.2.4 Generative-AI metadata enrichment
  • 4.2.5 Data-mesh architecture proliferation
  • 4.2.6 Open-source metadata standards
• 4.3 Market Restraints
  • 4.3.1 Standardization and security gaps
  • 4.3.2 Talent shortage in metadata mgmt
  • 4.3.3 Catalog curation cost burden
  • 4.3.4 Vendor lock-in via proprietary models
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Buyers/Consumers
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitute Products
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

• 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 End-user Industry
  • 5.3.1 BFSI
  • 5.3.2 Retail and E-commerce
  • 5.3.3 Healthcare
  • 5.3.4 Manufacturing
  • 5.3.5 Telecommunications
  • 5.3.6 Other End-user Industries
• 5.4 By Organization Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Mid-size Enterprises
• 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 Chile
    • 5.5.2.4 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 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 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 Singapore
    • 5.5.4.6 Malaysia
    • 5.5.4.7 Australia
    • 5.5.4.8 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 Turkey
      • 5.5.5.1.4 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 for key companies, Products and Services, and Recent Developments)
  • 6.4.1 Collibra NV
  • 6.4.2 IBM Corporation
  • 6.4.3 Microsoft Corporation
  • 6.4.4 Informatica Inc.
  • 6.4.5 Alation Inc.
  • 6.4.6 Amazon Web Services, Inc.
  • 6.4.7 Google LLC
  • 6.4.8 Oracle Corporation
  • 6.4.9 SAP SE
  • 6.4.10 TIBCO Software Inc.
  • 6.4.11 Atlan Pte Ltd.
  • 6.4.12 data.world, Inc.
  • 6.4.13 Zaloni, Inc.
  • 6.4.14 Hitachi Vantara LLC
  • 6.4.15 Talend (Snowflake)
  • 6.4.16 MANTA Software
  • 6.4.17 DataGalaxy SAS
  • 6.4.18 Alex Solutions
  • 6.4.19 Precisely Holdings
  • 6.4.20 Cloudera (Apache Atlas)
  • 6.4.21 Erwin Data Intelligence
  • 6.4.22 Databricks Unity Catalog
  • 6.4.23 Elastic (Elastic Search Data Catalog)
  • 6.4.24 OpenMetadata (LF AI & Data)
  • 6.4.25 Micro Focus Voltage

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

• 8.1 White-Space and Unmet-Need Assessment