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市场调查报告书
商品编码
1850317

企业元资料管理：市场占有率分析、产业趋势、统计资料和成长预测（2025-2030 年）

Enterprise Metadata Management - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

预计到 2025 年，企业元资料管理市场规模将达到 131.1 亿美元，到 2030 年将达到 350.2 亿美元，预测期（2025-2030 年）复合年增长率为 21.70%。

企业元资料管理-市场-IMG1

强劲的投资势头源于监管要求、云端和混合云迁移的增加，以及对人工智慧主导的整合、可操作数据的需求。北美仍然是最大的区域贡献者，这得益于其成熟的管治框架和较高的云端采用率。同时，随着新的个人资料保护法和快速的数位化进程扩大了目标用户群体，亚太地区正经历快速成长。儘管解决方案授权仍然占据收益的大部分，但随着越来越多的公司寻求整合和变更管理方面的专业知识来扩展元资料项目，服务的采用率正在加速成长。竞争日益激烈，领先的供应商继续将人工智慧代理整合到自动化血缘关係追踪系统中，而新参与企业则专注于分散式架构以支援资料网格部署。

全球企业元资料管理市场趋势与洞察

企业数据爆炸性成长

物联网部署、5G 连接和全通路商务正在使企业资料量爆炸性成长，并将元资料管理推向了董事会议程的首要位置。 AT&T 利用 Snowflake 统一了传统资产和云端资产的元资料，在加速分析的同时降低了基础设施成本。类似的措施在通讯和电子商务领域也日益增多，这些领域高速的资料流需要自动化的血缘关係和编目来保持敏捷性和合规性。

监理合规和资料管治要求

新规正在加强监管。马来西亚要求拥有超过2万名资料主体的公司任命资料保护官并提交资料外洩通知，扩大了企业元资料管理市场。印度的《数位个人资料保护法》和中国的《人工智慧暂行措施法》也同样提高了对细粒度资料溯源和授权追踪的期望。新加坡的银行业监理机构强制要求对人工智慧模式进行风险管治，进一步强调了透明元资料的重要性。

实施成本高且整合复杂

遗留系统的冗余会拖慢实施进度并增加预算。花旗集团因资料架构分散而被罚款15亿美元，凸显了以现代元资料改造遗留系统的风险。资源较少的小公司不愿在没有短期回报的情况下进行投资，延缓了实施进程。

细分市场分析

到2024年，解决方案将占总收入的68.2%。在企业元资料管理市场，随着企业对混合整合、人工智慧实施和合规性咨询的需求不断增长，预计到2030年，服务业务将以24.5%的复合年增长率成长。德国电信已与Capgemini SA合作，旨在缩短产品推出週期，并透过与TMForum相契合的模式，凸显服务的价值。

企业还将元资料管理营运外包，以充分利用不断变化的隐私法规和云端工具，为系统整合商和託管服务供应商 (MSP) 带来稳定的收入。随着云端环境规模的扩大，基于成果的服务合约也随之成长，进而推动了咨询、实施和支援业务的蓬勃发展。

云端运算仍将是预设选项，预计到2024年将占据58.6%的市场份额。然而，随着受监管企业在采用云端分析的同时，也需要对敏感资料进行在地化处理，混合云配置预计将以23.2%的复合年增长率成长。马来西亚新的隐私权准则和新加坡的主权云端框架进一步强化了这一趋势。

混合工具将本地和云端目录整合到单一控制平台中。 TELUS 已证明，该模式既能保障居住权益，又能透过在 Google Cloud 中编配分析，同时在本地维护关键资料中心，从而在不阻碍人工智慧发展的情况下实现这一目标。

企业元资料管理市场按组件（解决方案和服务）、部署模式（云端、本地、混合）、元资料类型（技术元资料、业务元资料、营运/流程元资料）、组织规模（大型企业和中小企业）、最终用户垂直行业（银行、金融服务和保险、医疗保健和生命科学等）以及地区进行细分。

区域分析

北美地区贡献了36.06%的收入，这得益于《加州消费者隐私法案》(CCPA)、行业指令以及强大的供应商和整合商生态系统。各公司正利用成熟的云端基础设施和雄厚的创业投资资金，推动人工智慧引导的早期管理实验。 Snowflake和Palantir的专利申请活动进一步巩固了该地区的创新优势。

亚太地区是成长最快的市场，复合年增长率高达24.8%。马来西亚强制性资料保护官（DPO）政策、印度的《资料保护和个人资料保护法》（DPDPA）以及中国的AI法规正迫使企业实施细粒度的资料溯源，从而推动了市场需求。印尼和越南的通讯、零售和製造业正在采用目录管理来应对金融科技和新的个人资料法规。预计到2030年，亚太地区企业元资料管理市场规模将成长三倍以上。

欧洲透过实施GDPR和即将出台的人工智慧立法来保持发展势头，这些立法强调同意管理和跨境处理保障措施。製造商采用资料网格来协调多工厂供应链，金融机构则加强血缘关係以满足监管审查。拉丁美洲和中东及非洲的较小市场仍处于起步阶段，但正借鉴全球先例，逐步实施元资料计划并增强自身韧性。

其他福利：

  • Excel格式的市场预测（ME）表
  • 3个月的分析师支持

目录

第一章 引言

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章 市场情势

  • 市场概览
  • 市场驱动因素
    • 企业数据爆炸性成长
    • 监理合规和资料管治义务
    • 云端和混合迁移需要统一的元资料
    • 自助式分析的普及推动了对资料目录的需求。
    • 利用生成式人工智慧进行自动分类可提高投资报酬率
    • 资料网格架构需要统一的元元资料服务
  • 市场限制
    • 实施成本高且整合复杂
    • 投资报酬率不确定性和技能短缺
    • 多重云端元资料孤岛限制了血缘关係的完整性
    • 资料主权限制跨境元资料託管
  • 产业价值链分析
  • 监管格局
  • 技术展望
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 买方的议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 影响市场的宏观经济因素

第五章 市场规模及成长预测（数值）

  • 按组件
    • 解决方案
    • 服务
  • 透过部署模式
    • 云
    • 本地部署
    • 杂交种
  • 元资料类型
    • 科技元资料
    • 业务元资料
    • 操作/流程元资料
  • 按组织规模
    • 大公司
    • 小型企业
  • 按最终用户产业
    • BFSI
    • 医疗保健和生命科学
    • 零售与电子商务
    • 资讯科技和通讯
    • 政府和公共部门
    • 製造业
    • 媒体与娱乐
    • 其他终端用户产业
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
      • 墨西哥
    • 南美洲
      • 巴西
      • 阿根廷
      • 智利
      • 其他南美
    • 欧洲
      • 德国
      • 英国
      • 法国
      • 义大利
      • 西班牙
      • 俄罗斯
      • 其他欧洲地区
    • 亚太地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 马来西亚
      • 新加坡
      • 澳洲
      • 其他亚太地区
    • 中东和非洲
      • 中东
      • 阿拉伯聯合大公国
      • 沙乌地阿拉伯
      • 土耳其
      • 其他中东地区
      • 非洲
      • 南非
      • 奈及利亚
      • 其他非洲国家

第六章 竞争情势

  • 市场集中度
  • 策略趋势
  • 市占率分析
  • 公司简介
    • Informatica LLC
    • Collibra NV
    • Alation Inc.
    • IBM Corporation
    • Oracle Corporation
    • SAP SE
    • Microsoft Corporation
    • Talend SA
    • Snowflake Inc.
    • Data.world, Inc.
    • Atlan Pte. Ltd.
    • Quest Software Inc.
    • Precisely Software Incorporated
    • Erwin Inc.（Quest）
    • MANTA Software, Inc.
    • Solidatus Ltd.
    • Global IDs Inc.
    • Smartlogic Semaphore Ltd.
    • ASG Technologies Group, Inc.
    • Alex Solutions Pty Ltd.
    • Denodo Technologies Inc.
    • Syniti（Capgemini SE）
    • Octopai Ltd.
    • Cloudera, Inc.
    • Cambridge Semantics Inc.

第七章 市场机会与未来趋势

  • 閒置频段与未满足需求评估
简介目录
Product Code: 62348

The Enterprise Metadata Management Market size is estimated at USD 13.11 billion in 2025, and is expected to reach USD 35.02 billion by 2030, at a CAGR of 21.70% during the forecast period (2025-2030).

Enterprise Metadata Management - Market - IMG1

Strong investment momentum stems from converging regulatory mandates, intensified cloud and hybrid migrations, and AI-driven demand for unified, actionable data. North America remains the largest regional contributor, supported by mature governance frameworks and high cloud uptake, while Asia-Pacific is on a steeper trajectory as new privacy statutes and rapid digitalization expand the addressable base. Solution licenses still deliver the bulk of revenue, yet service engagement is accelerating as enterprises seek integration and change-management expertise to scale metadata programs. Competitive activity is heating up: leading vendors continue to embed AI agents for automated lineage, and newer entrants focus on decentralized architectures that keep pace with data-mesh adoption.

Global Enterprise Metadata Management Market Trends and Insights

Explosion of enterprise data volumes

IoT rollouts, 5G connectivity, and omnichannel commerce are swelling corporate data troves, pushing metadata management to board agendas. AT&T used Snowflake to consolidate metadata across legacy and cloud assets, accelerating analytics while cutting infrastructure costs. Similar initiatives are multiplying in telecom and e-commerce, where high-velocity data flows demand automated lineage and cataloging to sustain agility and compliance.

Regulatory compliance and data-governance mandates

Fresh regulations are tightening oversight. Malaysia now obliges firms with more than 20,000 data subjects to nominate Data Protection Officers and notify breaches, a step that is enlarging the enterprise metadata management market. India's Digital Personal Data Protection Act and China's Interim AI Measures act likewise raise expectations for granular lineage and consent tracking. Singapore's banking regulator mandates AI model risk governance, reinforcing the need for transparent metadata.

High implementation cost and integration complexity

Legacy sprawl inflates deployment timelines and budgets. Citigroup's fragmented data stack incurred USD 1.5 billion in fines, illustrating the risk of retrofitting modern metadata onto heritage systems. SMEs, with leaner resources, hesitate to invest without near-term returns, dampening uptake.

Other drivers and restraints analyzed in the detailed report include:

  1. Cloud and hybrid migration requires unified metadata
  2. Self-service analytics adoption spurs data-catalog demand
  3. ROI uncertainty and skills shortage

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

Segment Analysis

Solutions produced 68.2% of revenue in 2024. The enterprise metadata management market expects services to grow at a 24.5% CAGR to 2030 as firms need consulting for hybrid integration, AI enablement, and regulatory readiness. Deutsche Telekom partnered with Capgemini for a TMForum-aligned model that shortened product-launch cycles, highlighting service value.

Enterprises also outsource managed metadata operations to navigate ever-changing privacy laws and cloud tooling, fueling annuity revenues for system integrators and MSPs. As cloud estates scale, outcome-based service contracts expand, reinforcing a healthy pipeline for advisory, implementation, and support.

Cloud remains the default, holding 58.6% market share in 2024. However, hybrid configurations are projected to post a 23.2% CAGR because regulated entities must localize sensitive data while exploiting cloud analytics. Malaysia's new privacy guidelines and Singapore's sovereign cloud framework intensify this pattern.

Hybrid tooling unites on-prem and cloud catalogs into a single control plane. TELUS proved the model by maintaining critical data hubs on-site while orchestrating analytics in Google Cloud, safeguarding residency obligations without impeding AI development.

Enterprise Metadata Management Market is Segmented by Component (Solutions and Services), Deployment Mode (Cloud, On-Premises, and Hybrid), Metadata Type (Technical Metadata, Business Metadata, and Operational/Process Metadata), Organization Size (Large Enterprises and Small and Medium Enterprises), End-User Industry (BSFI, Healthcare and Life Sciences, and More), and Geography.

Geography Analysis

North America commands 36.06% of revenue, underpinned by the CCPA, sector-specific mandates, and a deep ecosystem of vendors and integrators. Enterprises capitalize on mature cloud infrastructure and robust venture funding, driving early experiments with AI-guided stewardship. Patent activity from Snowflake and Palantir reinforces the region's innovation edge.

Asia-Pacific is the fastest-growing theater, rising at 24.8% CAGR. Malaysia's mandatory DPO policy, India's DPDPA, and China's AI rules oblige enterprises to implement granular lineage, swelling demand. Telecommunications, retail, and manufacturing players in Indonesia and Vietnam adopt catalogs to meet new fintech and personal-data laws. The enterprise metadata management market size in Asia-Pacific is projected to more than triple by 2030.

Europe retains momentum through GDPR enforcement and the forthcoming AI Act, which emphasizes consent management and cross-border processing safeguards. Manufacturers embrace data mesh to coordinate multi-plant supply chains, while financial institutions strengthen lineage to satisfy supervisory reviews. Smaller Latin American, Middle Eastern, and African markets are nascent but observe global precedents, gradually instituting metadata programs to shore up resilience.

  1. Informatica LLC
  2. Collibra NV
  3. Alation Inc.
  4. IBM Corporation
  5. Oracle Corporation
  6. SAP SE
  7. Microsoft Corporation
  8. Talend S.A.
  9. Snowflake Inc.
  10. Data.world, Inc.
  11. Atlan Pte. Ltd.
  12. Quest Software Inc.
  13. Precisely Software Incorporated
  14. Erwin Inc. (Quest)
  15. MANTA Software, Inc.
  16. Solidatus Ltd.
  17. Global IDs Inc.
  18. Smartlogic Semaphore Ltd.
  19. ASG Technologies Group, Inc.
  20. Alex Solutions Pty Ltd.
  21. Denodo Technologies Inc.
  22. Syniti (Capgemini SE)
  23. Octopai Ltd.
  24. Cloudera, Inc.
  25. Cambridge Semantics 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 Explosion of enterprise data volumes
    • 4.2.2 Regulatory compliance and data-governance mandates
    • 4.2.3 Cloud and hybrid migration require unified metadata
    • 4.2.4 Self-service analytics adoption spurs data-catalog demand
    • 4.2.5 Generative-AI-driven auto-classification unlocks ROI
    • 4.2.6 Data-mesh architectures need federated metadata services
  • 4.3 Market Restraints
    • 4.3.1 High implementation cost and integration complexity
    • 4.3.2 ROI uncertainty and skills shortage
    • 4.3.3 Multi-cloud metadata silos limit lineage completeness
    • 4.3.4 Data-sovereignty limits cross-border metadata hosting
  • 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 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 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-Premises
    • 5.2.3 Hybrid
  • 5.3 By Metadata Type
    • 5.3.1 Technical Metadata
    • 5.3.2 Business Metadata
    • 5.3.3 Operational/Process Metadata
  • 5.4 By Organization Size
    • 5.4.1 Large Enterprises
    • 5.4.2 Small and Medium Enterprises (SMEs)
  • 5.5 By End-user Industry
    • 5.5.1 BFSI
    • 5.5.2 Healthcare and Life Sciences
    • 5.5.3 Retail and E-commerce
    • 5.5.4 IT and Telecom
    • 5.5.5 Government and Public Sector
    • 5.5.6 Manufacturing
    • 5.5.7 Media and Entertainment
    • 5.5.8 Other End-user Industries
  • 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 Russia
      • 5.6.3.7 Rest of Europe
    • 5.6.4 Asia-Pacific
      • 5.6.4.1 China
      • 5.6.4.2 India
      • 5.6.4.3 Japan
      • 5.6.4.4 South Korea
      • 5.6.4.5 Malaysia
      • 5.6.4.6 Singapore
      • 5.6.4.7 Australia
      • 5.6.4.8 Rest of Asia-Pacific
    • 5.6.5 Middle East and Africa
      • 5.6.5.1 Middle East
      • 5.6.5.1.1 United Arab Emirates
      • 5.6.5.1.2 Saudi Arabia
      • 5.6.5.1.3 Turkey
      • 5.6.5.1.4 Rest of Middle East
      • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 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 Informatica LLC
    • 6.4.2 Collibra NV
    • 6.4.3 Alation Inc.
    • 6.4.4 IBM Corporation
    • 6.4.5 Oracle Corporation
    • 6.4.6 SAP SE
    • 6.4.7 Microsoft Corporation
    • 6.4.8 Talend S.A.
    • 6.4.9 Snowflake Inc.
    • 6.4.10 Data.world, Inc.
    • 6.4.11 Atlan Pte. Ltd.
    • 6.4.12 Quest Software Inc.
    • 6.4.13 Precisely Software Incorporated
    • 6.4.14 Erwin Inc. (Quest)
    • 6.4.15 MANTA Software, Inc.
    • 6.4.16 Solidatus Ltd.
    • 6.4.17 Global IDs Inc.
    • 6.4.18 Smartlogic Semaphore Ltd.
    • 6.4.19 ASG Technologies Group, Inc.
    • 6.4.20 Alex Solutions Pty Ltd.
    • 6.4.21 Denodo Technologies Inc.
    • 6.4.22 Syniti (Capgemini SE)
    • 6.4.23 Octopai Ltd.
    • 6.4.24 Cloudera, Inc.
    • 6.4.25 Cambridge Semantics Inc.

7 MARKET OPPORTUNITIES AND FUTURE TRENDS

  • 7.1 White-Space and Unmet-Need Assessment