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市场调查报告书
商品编码
1889214

资料目录市场预测至 2032 年：全球分析（按组件、部署类型、组织规模、资料类型、用例、最终用户和地区划分）

Data Catalog Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Mode, Organization Size, Data Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的一项研究，预计到 2025 年，全球数据目录市场价值将达到 12.9 亿美元，到 2032 年将达到 51.6 亿美元，在预测期内的复合年增长率为 21.9%。

资料目录是一个集中式系统，用于组织和索引组织的资料资产，以便于发现和管理。它捕捉元资料、资料沿袭和分类详情，帮助使用者了解资料的来源、上下文和可信度。它透过促进资料管治和协作，简化资料存取并支持明智的决策。高阶目录通常采用自动化技术进行分析、标记和使用情况监控，从而提供组织所有资料资源的完整且结构化的概览。

根据 Exploding Topics 的最新估计，全球每天产生的数据总量已达到 3.2877 亿Terabyte。

对资料管治和合规性的需求日益增长

随着 GDPR、HIPAA 和 DPDP 等法规结构的不断扩展，企业必须对敏感资料进行严格监管。资料目录提供结构化的元资料管理，帮助组织追踪资料沿袭、确保资料准确性并做好审核准备。随着企业加速数位转型，集中式资料可见度的需求变得日益迫切。不断增强的合规能力正促使企业转向自动化元资料和管治平台。这种对风险最小化和合规性的日益重视是推动资料目录解决方案普及的主要因素。

与旧有系统整合的复杂性

旧有系统通常缺乏标准化的元资料格式，导致整合耗时耗力。数据不一致和过时的储存框架等技术难题进一步加剧了实施的复杂性。企业通常需要专业技能才能将传统结构映射到现代目录环境。内部专业知识的匮乏增加了对外部顾问的依赖，从而延缓了实施进度。这些整合挑战仍然是采用可扩展资料目录的主要障碍。

增强的资料安全和隐私功能

现代目录提供自动分类、加密支援和存取管治，以保护关键资料资产。这些功能有助于企业在多重云端和混合环境中强制执行敏感资料策略。资料脱敏和基于角色的存取控制功能在合规性驱动型产业中变得至关重要。供应商正越来越多地将人工智慧驱动的异常检测和策略推荐功能整合到其目录解决方案中。随着企业将安全资料操作放在首位，增强的保护功能为市场带来了巨大的成长机会。

激烈的竞争与价格战

现有企业也不断拓展产品组合，这加剧了定价和差异化的压力。各平台功能趋于同质化，促使企业优先考虑成本节约而非高阶功能。这种激烈的竞争导致了激进的折扣和捆绑销售。供应商被迫在创新方面投入大量资金以维持市场份额，进一步压缩了利润空间。持续的市场竞争对目录提供者的长期收入稳定性构成了重大挑战。

新冠疫情的感染疾病：

疫情加速了企业对即时数据存取和远端决策工具的需求。随着团队在分散式环境中工作，各组织认识到统一元元资料管理的重要性。资料目录透过提供对企业资料资产的集中可见性，支援了无缝协作。医疗保健、物流和政府等行业越来越多地采用目录来管理快速变化的营运数据。此次危机也凸显了资料管治方面的不足，并促使企业对结构化元资料平台进行新的投资。

预计在预测期内，软体领域将占据最大的市场份额。

由于软体在元资料自动化中发挥核心作用，预计在预测期内，软体领域将占据最大的市场份额。企业依赖目录软体来集中管理资料发现、资料沿袭追踪和管治工作流程。跨云端、本地和混合环境管理各种资料类型的需求正在推动软体的普及。供应商不断整合人工智慧和机器学习技术，以提高元资料的准确性和推荐能力。企业更倾向于可扩展且直觉的软体平台，以减少人工管治工作。

预计在预测期内，医疗保健和生命科学领域将实现最高的复合年增长率。

预计在预测期内，医疗保健和生命科学领域将实现最高成长率，因为严格的监管标准要求资料沿袭透明且元资料文件准确。编目平台有助于简化研究工作流程、基因组分析和临床数据整合。互联医疗设备和数位健康系统的兴起增加了数据的复杂性，从而导致对编目工具的依赖性增强。增强的安全功能和合规自动化进一步推动了整个产业的采用。

占比最大的地区：

预计北美将在预测期内占据最大的市场份额，这得益于其先进的数位化应用和强大的数据驱动决策文化。主要的云端服务供应商和分析公司总部都设在北美，推动了技术发展。促进资料透明度和安全管治的法规进一步推动了目录的普及。企业正越来越多地将人工智慧驱动的元元资料解决方案整合到其分析生态系统中。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于发展中经济体快速的数位化进程。网路普及率的提高和云端运算的广泛应用，正加速企业对现代资料管理解决方案的需求。印度、中国和东南亚国协政府正积极推广资料管治框架，以鼓励目录管理。人工智慧、物联网和大规模分析技术的兴起，正在该地区产生前所未有的大量数据。企业正加大对元资料平台的投资，以提高营运效率并确保合规性。

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目录

第一章执行摘要

第二章 前言

  • 摘要
  • 相关利益者
  • 调查范围
  • 调查方法
  • 研究材料

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的感染疾病

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球资料目录市场（按组件划分）

  • 软体
    • 发现与搜寻
    • 元资料管理
    • 数据沿袭和影响分析
    • 数据分析与品质整合
    • 商业词彙与管理
    • API 和整合层
  • 服务
    • 专业服务
    • 託管服务和支持

第六章 全球资料目录市场依部署类型划分

  • 本地部署
  • 云（SaaS）
  • 杂交种

7. 按组织规模分類的全球资料目录市场

  • 大公司
  • 小型企业

8. 全球资料目录市场（按资料类型划分）

  • 结构化资料
  • 半结构化数据
  • 非结构化数据
  • 连接器和集成

9. 全球资料目录市场（按应用划分）

  • 数据发现与自助式分析
  • 资料管治与合规
  • 商业智慧/报表
  • 资料科学/机器学习目录
  • 血缘关係与影响分析用例

第十章：全球资料目录市场（以最终用户划分）

  • BFSI
  • 医学与生命科​​学
  • 零售与电子商务
  • 资讯科技/通讯
  • 製造业
  • 政府/公共部门
  • 能源与公共产业

第十一章：全球资料目录市场（按地区划分）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美国家
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 併购
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • Alation
  • Collibra
  • Informatica
  • IBM
  • Microsoft
  • Google Cloud
  • Amazon Web Services（AWS）
  • Atlan
  • Talend
  • Cloudera
  • Alteryx
  • Oracle
  • TIBCO Software
  • Ataccama
  • data.world
Product Code: SMRC32674

According to Stratistics MRC, the Global Data Catalog Market is accounted for $1.29 billion in 2025 and is expected to reach $5.16 billion by 2032 growing at a CAGR of 21.9% during the forecast period. A Data Catalog is a centralized system that organizes and indexes an organization's data assets for easy discovery and management. It captures metadata, data lineage, and classification details, helping users understand data origins, context, and reliability. By promoting data governance and collaboration, it simplifies data access and supports informed decision-making. Advanced catalogs often employ automation for profiling, tagging, and monitoring usage, offering a complete and structured overview of all organizational data resources.

According to Exploding Topics and their latest estimations, the total data generated on a single day amounted to 328.77 million terabytes globally.

Market Dynamics:

Driver:

Mounting need for data governance and compliance

Growing regulatory frameworks such as GDPR, HIPAA, and the DPDP Act are compelling enterprises to maintain strict oversight of sensitive data. Data catalogs provide structured metadata management that helps organizations track lineage, ensure accuracy, and support audit readiness. As businesses accelerate digital transformation, the need for centralized data visibility becomes more urgent. Improved compliance capabilities are pushing enterprises toward automated metadata and governance platforms. This heightened focus on risk minimization and regulatory alignment is significantly driving adoption of data catalog solutions.

Restraint:

Complexity of integrating with legacy systems

Legacy systems often lack standardized metadata formats, making integration time-consuming and costly. Technical challenges such as data inconsistencies and outdated storage frameworks further complicate deployment. Organizations frequently require specialized skills to map old structures into modern catalog environments. Limited internal expertise increases reliance on external consultants and slows implementation timelines. These integration difficulties continue to act as a major barrier to scalable data catalog adoption.

Opportunity:

Enhanced data security and privacy features

Advanced catalogs now offer automated classification, encryption support, and access governance to protect critical data assets. These capabilities help organizations enforce policies for sensitive data across multi-cloud and hybrid environments. Data masking and role-based access features are becoming essential for compliance-heavy industries. Vendors are increasingly embedding AI-driven anomaly detection and policy recommendations into catalog solutions. As enterprises prioritize secure data operations, enhanced protection features represent a major growth opportunity for the market.

Threat:

Intense competition and price wars

Established players are also expanding their portfolios, increasing pressure on pricing and differentiation. With similar capabilities across platforms, enterprises often prioritize cost savings over premium features. This competitive intensity is leading to aggressive discounting and bundled offerings. Vendors must invest heavily in innovation to maintain market relevance, further straining profit margins. Persistent price competition poses a significant challenge to long-term revenue stability for catalog providers.

Covid-19 Impact:

The pandemic accelerated enterprise demand for real-time data access and remote decision-making tools. Organizations realized the importance of unified metadata management as teams operated across distributed environments. Data catalogs supported seamless collaboration by providing centralized visibility of enterprise data assets. Industries like healthcare, logistics, and government increased catalog adoption to manage fast-changing operational data. The crisis also highlighted weaknesses in data governance, prompting renewed investment in structured metadata platforms.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, due to its core role in metadata automation. Enterprises rely on catalog software to centralize data discovery, lineage tracking, and governance workflows. The need to manage diverse data types across cloud, on-premise, and hybrid settings is driving adoption. Vendors continue to integrate AI and machine learning to enhance metadata accuracy and recommendation capabilities. Organizations prefer scalable and intuitive software platforms that reduce manual governance efforts.

The healthcare & life sciences segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the healthcare & life sciences segment is predicted to witness the highest growth rate, due to strict regulatory standards demand transparent data lineage and accurate metadata documentation. Catalog platforms help streamline research workflows, genomic analysis, and clinical data integration. The rise of connected medical devices and digital health systems is expanding data complexity, increasing reliance on cataloging tools. Enhanced security features and compliance automation further support sector-wide adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the region benefits from advanced digital adoption and a strong culture of data-driven decision-making. Major cloud providers and analytics companies are headquartered here, accelerating technological growth. Regulations promoting data transparency and secure governance further drive catalog implementation. Enterprises are increasingly integrating AI-powered metadata solutions into their analytics ecosystems.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to rapid digitalization across developing economies. Expanding internet penetration and cloud adoption are accelerating enterprise interest in modern data management solutions. Governments across India, China, and ASEAN countries are promoting data governance frameworks that boost catalog adoption. The rise of AI, IoT, and large-scale analytics is generating unprecedented data volumes in the region. Businesses are increasingly investing in metadata platforms to improve operational efficiency and regulatory compliance.

Key players in the market

Some of the key players in Data Catalog Market include Alation, Collibra, Informatica, IBM, Microsoft, Google Cloud, Amazon Web Services, Atlan, Talend, Cloudera, Alteryx, Oracle, TIBCO Software, Ataccama, and data.world.

Key Developments:

In November 2025, IBM and the University of Dayton announced an agreement for the joint research and development of next-generation semiconductor technologies and materials. The collaboration aims to advance critical technologies for the age of AI including AI hardware, advanced packaging, and photonics.

In October 2025, Oracle announced collaboration with Microsoft to develop an integration blueprint to help manufacturers improve supply chain efficiency and responsiveness. The blueprint will enable organizations using Oracle Fusion Cloud Supply Chain & Manufacturing (SCM) to improve data-driven decision making and automate key supply chain processes by capturing live insights from factory equipment and sensors through Azure IoT Operations and Microsoft Fabric.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • On-premises
  • Cloud (SaaS)
  • Hybrid

Organization Sizes Covered:

  • Large Enterprises
  • SMEs

Data Types Covered:

  • Structured Data
  • Semi-structured Data
  • Unstructured Data
  • Connectors & Integrations

Applications Covered:

  • Data Discovery & Self-Service Analytics
  • Data Governance & Compliance
  • BI / Reporting
  • Data Science / ML Catalogs
  • Lineage & Impact Analysis Use Cases

End Users Covered:

  • BFSI
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • IT & Telecom
  • Manufacturing
  • Government & Public Sector
  • Energy & Utilities

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Data Catalog Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Discovery & Search
    • 5.2.2 Metadata Management
    • 5.2.3 Data Lineage & Impact Analysis
    • 5.2.4 Data Profiling & Quality Integration
    • 5.2.5 Business Glossary & Stewardship
    • 5.2.6 API & Integration Layers
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services & Support

6 Global Data Catalog Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-premises
  • 6.3 Cloud (SaaS)
  • 6.4 Hybrid

7 Global Data Catalog Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 SMEs

8 Global Data Catalog Market, By Data Type

  • 8.1 Introduction
  • 8.2 Structured Data
  • 8.3 Semi-structured Data
  • 8.4 Unstructured Data
  • 8.5 Connectors & Integrations

9 Global Data Catalog Market, By Application

  • 9.1 Introduction
  • 9.2 Data Discovery & Self-Service Analytics
  • 9.3 Data Governance & Compliance
  • 9.4 BI / Reporting
  • 9.5 Data Science / ML Catalogs
  • 9.6 Lineage & Impact Analysis Use Cases

10 Global Data Catalog Market, By End User

  • 10.1 Introduction
  • 10.2 BFSI
  • 10.3 Healthcare & Life Sciences
  • 10.4 Retail & E-commerce
  • 10.5 IT & Telecom
  • 10.6 Manufacturing
  • 10.7 Government & Public Sector
  • 10.8 Energy & Utilities

11 Global Data Catalog Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Alation
  • 13.2 Collibra
  • 13.3 Informatica
  • 13.4 IBM
  • 13.5 Microsoft
  • 13.6 Google Cloud
  • 13.7 Amazon Web Services (AWS)
  • 13.8 Atlan
  • 13.9 Talend
  • 13.10 Cloudera
  • 13.11 Alteryx
  • 13.12 Oracle
  • 13.13 TIBCO Software
  • 13.14 Ataccama
  • 13.15 data.world

List of Tables

  • Table 1 Global Data Catalog Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Catalog Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data Catalog Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Data Catalog Market Outlook, By Discovery & Search (2024-2032) ($MN)
  • Table 5 Global Data Catalog Market Outlook, By Metadata Management (2024-2032) ($MN)
  • Table 6 Global Data Catalog Market Outlook, By Data Lineage & Impact Analysis (2024-2032) ($MN)
  • Table 7 Global Data Catalog Market Outlook, By Data Profiling & Quality Integration (2024-2032) ($MN)
  • Table 8 Global Data Catalog Market Outlook, By Business Glossary & Stewardship (2024-2032) ($MN)
  • Table 9 Global Data Catalog Market Outlook, By API & Integration Layers (2024-2032) ($MN)
  • Table 10 Global Data Catalog Market Outlook, By Services (2024-2032) ($MN)
  • Table 11 Global Data Catalog Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 12 Global Data Catalog Market Outlook, By Managed Services & Support (2024-2032) ($MN)
  • Table 13 Global Data Catalog Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 14 Global Data Catalog Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 15 Global Data Catalog Market Outlook, By Cloud (SaaS) (2024-2032) ($MN)
  • Table 16 Global Data Catalog Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 17 Global Data Catalog Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 18 Global Data Catalog Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 19 Global Data Catalog Market Outlook, By SMEs (2024-2032) ($MN)
  • Table 20 Global Data Catalog Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 21 Global Data Catalog Market Outlook, By Structured Data (2024-2032) ($MN)
  • Table 22 Global Data Catalog Market Outlook, By Semi-structured Data (2024-2032) ($MN)
  • Table 23 Global Data Catalog Market Outlook, By Unstructured Data (2024-2032) ($MN)
  • Table 24 Global Data Catalog Market Outlook, By Connectors & Integrations (2024-2032) ($MN)
  • Table 25 Global Data Catalog Market Outlook, By Application (2024-2032) ($MN)
  • Table 26 Global Data Catalog Market Outlook, By Data Discovery & Self-Service Analytics (2024-2032) ($MN)
  • Table 27 Global Data Catalog Market Outlook, By Data Governance & Compliance (2024-2032) ($MN)
  • Table 28 Global Data Catalog Market Outlook, By BI / Reporting (2024-2032) ($MN)
  • Table 29 Global Data Catalog Market Outlook, By Data Science / ML Catalogs (2024-2032) ($MN)
  • Table 30 Global Data Catalog Market Outlook, By Lineage & Impact Analysis Use Cases (2024-2032) ($MN)
  • Table 31 Global Data Catalog Market Outlook, By End User (2024-2032) ($MN)
  • Table 32 Global Data Catalog Market Outlook, By BFSI (2024-2032) ($MN)
  • Table 33 Global Data Catalog Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 34 Global Data Catalog Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 35 Global Data Catalog Market Outlook, By IT & Telecom (2024-2032) ($MN)
  • Table 36 Global Data Catalog Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 37 Global Data Catalog Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 38 Global Data Catalog Market Outlook, By Energy & Utilities (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.