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市场调查报告书
商品编码
1725155

2032 年企业资料管理市场预测：按组件、部署模型、组织规模、最终用户和地区进行的全球分析

Enterprise Data Management Market Forecasts to 2032 - Global Analysis By Component, Deployment Model, Organization Size (Small and Medium-Sized Enterprises and Large Enterprises), End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的预测，全球企业资料管理市场规模预计在 2025 年达到 1,324 亿美元，到 2032 年将达到 2,784 亿美元，复合年增长率为 11.2%。

企业资料管理 (EDM) 涉及监督组织的资料资产，以确保整个企业的准确性、一致性、安全性和可存取性。 EDM 包括资料完整性、管治、品质和管理的政策、流程和方法。 EDM 透过跨多个部门提供可信赖、有凝聚力的数据来促进明智的决策。透过减少资料孤岛、加强合规性和提高业务效率，企业可以在遵守法律和安全标准的同时从其资料中提取最佳价值。

根据 IBM 2020 年的最新研究，光是在美国，数据品质不佳每年就会对企业造成超过 3.1 兆美元的损失。

数据量和复杂性快速成长

数据量和复杂性的快速成长是推动商业数据管理产业发展的关键因素。组织正在从各种来源（包括物联网设备、数位平台和业务营运）产生大量结构化和非结构化资料。这种成长需要先进的资料管理解决方案，以确保有效地储存、整合和分析资料以获得可操作的见解。随着资料类型和来源变得越来越复杂，企业需要实施强大的企业资料管理系统，以确保资料品质、遵守法规要求并在决策中获得竞争优势。

资料孤岛和旧有系统

许多企业受到分散在各个平台上的脱节资料的困扰，无法实现无缝资料整合和即时存取。传统基础设施通常与现代资料管理解决方案不相容，导致营运效率低下和成本增加。数据孤岛阻碍了全面的分析并限制了您获得深入业务洞察的能力。

人工智慧和机器学习在资料管理方面的进展

人工智慧和机器学习的进步为企业资料管理领域带来了巨大的希望。这些技术提高了数据处理的自动化程度，改善了数据品质并提供了预测分析能力。此外，人工智慧技术可以实现即时数据管治、异常检测和高级数据集成，使企业能够获得更深入的洞察力并推动创新。透过将人工智慧融入公司的数据管理系统，即使是非专家用户也可以轻鬆存取数据并执行自己的分析，从而产生有价值的商业洞察力并加速数位转型工作。

资料隐私和安全

资料隐私和安全性持续引起企业资料管理团队的重大担忧。随着企业管理的敏感资讯量不断增加，资料外洩、网路攻击和监管不合规的可能性也随之增加。此外，GDPR 和 CCPA 等新的隐私权法对资料管理和保护提出了严格的义务。未能建立严格的安全通讯协定可能会造成重大的财务和声誉损失。

COVID-19的影响：

COVID-19 疫情推动了数位转型并增加了对数据主导决策的依赖，对企业数据管理市场产生了积极影响。企业迅速采用企业资料管理解决方案来促进远距工作、优化资源配置并提高业务弹性。疫情期间资料产生的增加凸显了对整合资料平台的需求，并促使对扩充性且安全的资料管理技术的投资。随着组织在快速发展的环境中重视资料品质、可近性和合规性，产业格局发生了重大发展。

预计软体领域将成为预测期内最大的领域

预计在预测期内，软体产业将占据最大的市场占有率，这得益于对涵盖资料整合、品质、管治和安全的完整资料管理解决方案日益增长的需求。组织越来越多地将资源分配给软体解决方案，以实现资料工作流程的自动化、确保法规遵循并提高业务效率。此外，数据密集型应用程式的成长和即时分析的需求正在加速企业数据管理软体的使用。

预计在预测期内，云端基础的部分将以最高的复合年增长率成长。

由于云端基础的扩充性、灵活性和成本效益，预计该领域将在预测期内实现最高成长率。云端基础的数据管理解决方案使企业能够储存、处理和分析大量数据，而无需进行大量的前期基础设施投资。计量收费的概念以及与其他云端服务的轻鬆连接使这些解决方案对各种规模的企业都具有吸引力。向远端工作和数位转型的转变正在加速云端运算的采用，使云端基础的类别成为商业数据管理行业成长最快的部署机制。

占比最大的地区：

在预测期内，北美预计将占据最大的市场占有率，这得益于其先进的IT基础设施、数位技术的广泛采用以及严格的监管框架。知名行业领袖的参与和对以数据为中心的计划的大量投资也有助于市场扩张。此外，北美公司越来越重视管治、安全和合规性，对管理公司资料的先进系统的需求也随之增加。该地区的创新优势和对新技术的早期采用巩固了其在全球市场中的地位。

复合年增长率最高的地区：

预计亚太地区在预测期内的复合年增长率最高。这是由数位化的快速发展、互联网普及率的提高以及云端基础设施投资的不断增长所推动的。该地区的新兴经济体正在采用企业资料管理系统来促进业务扩展、改善消费者体验并满足不断变化的监管要求。此外，中小企业的成长以及人工智慧和分析技术的日益普及正在推动该地区市场的显着扩张。随着亚太地区企业加快数位转型步伐，对复杂数据管理工具的需求预计将大幅增加。

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  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

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

5. 全球企业资料管理市场（按组件）

  • 软体
    • 资料安全
    • 数据品管
    • 资料整合和 ETL
    • 资料管治平台
    • 主资料管理 (MDM)
    • 资料仓储
    • 资料迁移和整合工具
  • 服务
    • 託管服务
    • 专业服务
      • 咨询和策略制定
      • 实施和整合服务
      • 支援和维护服务

6. 全球企业资料管理市场（依部署模式）

  • 本地
  • 云端基础
  • 杂交种

7. 全球企业资料管理市场（依组织规模）

  • 小型企业
  • 大公司

8. 全球企业资料管理市场（依最终用户）

  • 通讯与资讯科技（IT）
  • 零售和消费品
  • 医疗保健和生命科学
  • 银行、金融服务和保险（BFSI）
  • 政府和国防
  • 製造业
  • 媒体与娱乐
  • 运输/物流
  • 能源和公共产业
  • 其他最终用户

9. 全球企业资料管理市场（按地区）

  • 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
    • 其他欧洲国家
  • 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
    • 南美洲其他地区
  • 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

第十章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十一章 公司概况

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Informatica Inc.
  • Teradata Corporation
  • Amazon Web Services（AWS）
  • Broadcom Inc.
  • Cloudera Inc.
  • SAS Institute Inc.
  • Talend
  • OpenText Corporation
  • LTIMindtree Limited
  • Qlik
  • Alation
  • Collibra
  • NeoXam
  • Gresham Technologies
  • Ataccama
Product Code: SMRC29301

According to Stratistics MRC, the Global Enterprise Data Management Market is accounted for $132.4 billion in 2025 and is expected to reach $278.4 billion by 2032 growing at a CAGR of 11.2% during the forecast period. Enterprise Data Management (EDM) involves overseeing an organization's data assets to guarantee correctness, consistency, security, and accessibility throughout the enterprise. It encompasses policies, processes, and instruments for data integration, governance, quality, and stewardship. EDM facilitates informed decision-making by delivering dependable and cohesive data across several departments. It mitigates data silos, bolsters compliance, and boosts operational efficiency, allowing enterprises to extract optimal value from their data while adhering to legal and security standards.

According to IBM's recent study in 2020, poor data quality costs businesses in the US alone more than $3.1 trillion annually.

Market Dynamics:

Driver:

Exponential growth of data volumes and complexity

The rapid increase in data volume and complexity is a key factor propelling the business data management industry. Organizations are producing substantial quantities of structured and unstructured data from various sources, including IoT devices, digital platforms, and business operations. This increase requires sophisticated data management solutions to guarantee effective storage, integration, and analysis of data for actionable insights. The growing complexity of data types and sources necessitates that enterprises implement strong corporate data management systems to ensure data quality, adhere to regulatory compliance, and gain a competitive advantage in decision-making.

Restraint:

Data silos and legacy systems

Numerous firms contend with disjointed data dispersed across various platforms, obstructing seamless data integration and real-time accessibility. Legacy infrastructure frequently exhibits incompatibility with contemporary data management solutions, leading to operational inefficiencies and heightened expenses. The existence of data silos hinders comprehensive analytics and restricts the capacity to obtain thorough business insights.

Opportunity:

Advancements in AI and machine learning for data management

Progress in artificial intelligence and machine learning presents significant prospects for the enterprise data management sector. These technologies facilitate the automation of data processing, improve data quality, and offer predictive analytics capabilities. Furthermore, AI-powered technologies enable real-time data governance, anomaly detection, and sophisticated data integration, allowing enterprises to derive profound insights and foster innovation. Using AI in enterprise data management systems makes it easier for non-technical users to access data and perform their own analysis, helping them generate valuable business insights and speed up digital transformation efforts.

Threat:

Data privacy and security

Data privacy and security continue to pose significant concerns to the enterprise data management sector. As firms manage escalating quantities of sensitive information, the likelihood of data breaches, cyberattacks, and regulatory non-compliance amplifies. Moreover, emerging privacy legislation like GDPR and CCPA imposes rigorous mandates on data management and safeguarding. Neglecting to establish stringent security protocols may lead to significant financial repercussions and harm to one's reputation.

Covid-19 Impact:

The Covid-19 epidemic positively influenced the enterprise data management market by expediting digital transformation and enhancing dependence on data-driven decision-making. Organizations swiftly embraced corporate data management solutions to facilitate remote work, optimize resource distribution, and improve operational resilience. The increase in data generation during the epidemic underscored the necessity for integrated data platforms, prompting investments in scalable and secure data management technologies. The industry witnessed significant development as organizations emphasized data quality, accessibility, and compliance in a swiftly evolving landscape.

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, propelled by the increasing need for complete data management solutions that encompass data integration, quality, governance, and security. Organizations are progressively allocating resources to software solutions for the automation of data workflows, the assurance of regulatory compliance, and the enhancement of operational efficiency. Furthermore, the expansion of data-intensive applications and the demand for real-time analytics accelerate the use of enterprise data management software.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate due to its scalability, flexibility, and cost-effectiveness. Cloud-based data management solutions allow enterprises to store, handle, and analyze substantial data volumes without considerable initial infrastructure expenditures. The pay-as-you-go concept and effortless connection with other cloud services render these solutions appealing to enterprises of all scales. The transition to remote work and digital transformation has expedited cloud adoption, establishing the cloud-based category as the most rapidly expanding deployment mechanism in the business data management industry.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, owing to its sophisticated IT infrastructure, extensive adoption of digital technologies, and rigorous regulatory mandates. The involvement of prominent industry leaders and substantial investments in data-centric initiatives enhance market expansion. Furthermore, North American entities emphasize governance, security, and compliance, hence increasing the demand for advanced systems for managing enterprise data. The region's preeminence in invention and early adoption of emerging technology reinforces its superior status in the global market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, driven by swift digitalization, growing internet penetration, and rising investments in cloud infrastructure. Emerging economies in the area are adopting systems for managing enterprise data to facilitate business expansion, improve consumer experiences, and adhere to changing regulatory requirements. Moreover, the growth of SMEs and the increasing utilization of AI and analytics technologies facilitate the region's substantial market expansion. As enterprises in the Asia Pacific region accelerate their digital transformation initiatives, the demand for sophisticated data management tools is poised to increase significantly.

Key players in the market

Some of the key players in Enterprise Data Management Market include IBM Corporation, Oracle Corporation, SAP SE, Informatica Inc., Teradata Corporation, Amazon Web Services (AWS), Broadcom Inc., Cloudera Inc., SAS Institute Inc., Talend, OpenText Corporation, LTIMindtree Limited, Qlik, Alation, Collibra, NeoXam, Gresham Technologies, and Ataccama.

Key Developments:

In March 2025, Teradata announced Teradata Enterprise Vector Store, an in-database solution that brings the speed, power and multi-dimensional scale of Teradata's hybrid cloud platform to vector data management, a crucial element for Trusted AI, with future expansion to include integration of NVIDIA NeMo Retriever microservices, part of the NVIDIA AI Enterprise software platform.

In October 2024, Teradata announced a new collaboration with NVIDIA to enhance the Teradata Vantage platform with NVIDIA AI to benefit large, global organizations that leverage both public and/or private clouds.

In June 2024, Mindtree a global technology consulting and digital solutions company, has expanded its partnership with SAP, a leading provider of enterprise application software, to deliver innovations for complex manufacturing industries. The collaboration aims to tackle the unique challenges of this sector, offering streamlined solutions that enhance efficiency, reduce costs, and ensure seamless upgrades.

Components Covered:

  • Software
  • Services

Deployment Models Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises (SMEs)
  • Large Enterprises

End Users Covered:

  • Telecom and Information Technology (IT)
  • Retail and Consumer Goods
  • Healthcare and Life Sciences
  • Banking, Financial Services, and Insurance (BFSI)
  • Government and Defense
  • Manufacturing
  • Media and Entertainment
  • Transportation and Logistics
  • Energy and Utilities
  • Other End Users

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 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 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 Enterprise Data Management Market, By Component

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Data Security
    • 5.2.2 Data Quality Management
    • 5.2.3 Data Integration and ETL
    • 5.2.4 Data Governance Platforms
    • 5.2.5 Master Data Management (MDM)
    • 5.2.6 Data Warehousing
    • 5.2.7 Data Migration and Consolidation Tools
  • 5.3 Services
    • 5.3.1 Managed Services
    • 5.3.2 Professional Services
      • 5.3.2.1 Consulting and Strategy Development
      • 5.3.2.2 Implementation and Integration Services
      • 5.3.2.3 Support and Maintenance Services

6 Global Enterprise Data Management Market, By Deployment Model

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based
  • 6.4 Hybrid

7 Global Enterprise Data Management Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium-Sized Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Enterprise Data Management Market, By End User

  • 8.1 Introduction
  • 8.2 Telecom and Information Technology (IT)
  • 8.3 Retail and Consumer Goods
  • 8.4 Healthcare and Life Sciences
  • 8.5 Banking, Financial Services, and Insurance (BFSI)
  • 8.6 Government and Defense
  • 8.7 Manufacturing
  • 8.8 Media and Entertainment
  • 8.9 Transportation and Logistics
  • 8.10 Energy and Utilities
  • 8.11 Other End Users

9 Global Enterprise Data Management Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 IBM Corporation
  • 11.2 Oracle Corporation
  • 11.3 SAP SE
  • 11.4 Informatica Inc.
  • 11.5 Teradata Corporation
  • 11.6 Amazon Web Services (AWS)
  • 11.7 Broadcom Inc.
  • 11.8 Cloudera Inc.
  • 11.9 SAS Institute Inc.
  • 11.10 Talend
  • 11.11 OpenText Corporation
  • 11.12 LTIMindtree Limited
  • 11.13 Qlik
  • 11.14 Alation
  • 11.15 Collibra
  • 11.16 NeoXam
  • 11.17 Gresham Technologies
  • 11.18 Ataccama

List of Tables

  • Table 1 Global Enterprise Data Management Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Enterprise Data Management Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Enterprise Data Management Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Enterprise Data Management Market Outlook, By Data Security (2024-2032) ($MN)
  • Table 5 Global Enterprise Data Management Market Outlook, By Data Quality Management (2024-2032) ($MN)
  • Table 6 Global Enterprise Data Management Market Outlook, By Data Integration and ETL (2024-2032) ($MN)
  • Table 7 Global Enterprise Data Management Market Outlook, By Data Governance Platforms (2024-2032) ($MN)
  • Table 8 Global Enterprise Data Management Market Outlook, By Master Data Management (MDM) (2024-2032) ($MN)
  • Table 9 Global Enterprise Data Management Market Outlook, By Data Warehousing (2024-2032) ($MN)
  • Table 10 Global Enterprise Data Management Market Outlook, By Data Migration and Consolidation Tools (2024-2032) ($MN)
  • Table 11 Global Enterprise Data Management Market Outlook, By Services (2024-2032) ($MN)
  • Table 12 Global Enterprise Data Management Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 13 Global Enterprise Data Management Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 14 Global Enterprise Data Management Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 15 Global Enterprise Data Management Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 16 Global Enterprise Data Management Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 17 Global Enterprise Data Management Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 18 Global Enterprise Data Management Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 19 Global Enterprise Data Management Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2024-2032) ($MN)
  • Table 20 Global Enterprise Data Management Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 21 Global Enterprise Data Management Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Enterprise Data Management Market Outlook, By Telecom and Information Technology (IT) (2024-2032) ($MN)
  • Table 23 Global Enterprise Data Management Market Outlook, By Retail and Consumer Goods (2024-2032) ($MN)
  • Table 24 Global Enterprise Data Management Market Outlook, By Healthcare and Life Sciences (2024-2032) ($MN)
  • Table 25 Global Enterprise Data Management Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 26 Global Enterprise Data Management Market Outlook, By Government and Defense (2024-2032) ($MN)
  • Table 27 Global Enterprise Data Management Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 28 Global Enterprise Data Management Market Outlook, By Media and Entertainment (2024-2032) ($MN)
  • Table 29 Global Enterprise Data Management Market Outlook, By Transportation and Logistics (2024-2032) ($MN)
  • Table 30 Global Enterprise Data Management Market Outlook, By Energy and Utilities (2024-2032) ($MN)
  • Table 31 Global Enterprise Data Management Market Outlook, By Other End Users (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.