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1725155

2032 年企業資料管理市場預測：按組件、部署模型、組織規模、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的預測，全球企業資料管理市場規模預計在 2025 年達到 1,324 億美元，到 2032 年將達到 2,784 億美元，複合年成長率為 11.2%。

企業資料管理 (EDM) 涉及監督組織的資料資產，以確保整個企業的準確性、一致性、安全性和可存取性。 EDM 包括資料完整性、管治、品質和管理的政策、流程和方法。 EDM 透過跨多個部門提供可信賴、有凝聚力的數據來促進明智的決策。透過減少資料孤島、加強合規性和提高業務效率，企業可以在遵守法律和安全標準的同時從其資料中提取最佳價值。

根據 IBM 2020 年的最新研究，光是在美國，數據品質不佳每年就會對企業造成超過 3.1 兆美元的損失。

數據量和複雜性快速成長

數據量和複雜性的快速成長是推動商業數據管理產業發展的關鍵因素。組織正在從各種來源（包括物聯網設備、數位平台和業務營運）產生大量結構化和非結構化資料。這種成長需要先進的資料管理解決方案，以確保有效地儲存、整合和分析資料以獲得可操作的見解。隨著資料類型和來源變得越來越複雜，企業需要實施強大的企業資料管理系統，以確保資料品質、遵守法規要求並在決策中獲得競爭優勢。

資料孤島和舊有系統

許多企業受到分散在各個平台上的脫節資料的困擾，無法實現無縫資料整合和即時存取。傳統基礎設施通常與現代資料管理解決方案不相容，導致營運效率低下和成本增加。數據孤島阻礙了全面的分析並限制了您獲得深入業務洞察的能力。

人工智慧和機器學習在資料管理方面的進展

人工智慧和機器學習的進步為企業資料管理領域帶來了巨大的希望。這些技術提高了數據處理的自動化程度，改善了數據品質並提供了預測分析能力。此外，人工智慧技術可以實現即時數據管治、異常檢測和高級資料整合，使企業能夠獲得更深入的洞察力並推動創新。透過將人工智慧融入公司的數據管理系統，即使是非專家用戶也可以輕鬆存取數據並執行自己的分析，從而產生有價值的商業洞察力並加速數位轉型工作。

資料隱私和安全

資料隱私和安全性持續引起企業資料管理團隊的重大擔憂。隨著企業管理的敏感資訊量不斷增加，資料外洩、網路攻擊和監管不合規的可能性也隨之增加。此外，GDPR 和 CCPA 等新的隱私權法對資料管理和保護提出了嚴格的義務。未能建立嚴格的安全通訊協定可能會造成重大的財務和聲譽損失。

COVID-19的影響：

COVID-19 疫情推動了數位轉型並增加了對數據主導決策的依賴，對企業數據管理市場產生了積極影響。企業迅速採用企業資料管理解決方案來促進遠距工作、最佳化資源配置並提高業務彈性。疫情期間資料產生的增加凸顯了對整合資料平台的需求，並促使對擴充性且安全的資料管理技術的投資。隨著組織在快速發展的環境中重視資料品質、可近性和合規性，產業格局發生了重大發展。

預計軟體領域將成為預測期內最大的領域

預計在預測期內，軟體產業將佔據最大的市場佔有率，這得益於對涵蓋資料整合、品質、管治和安全的完整資料管理解決方案日益成長的需求。組織擴大將資源分配給軟體解決方案，以實現資料工作流程的自動化、確保法規遵循並提高業務效率。此外，數據密集型應用程式的成長和即時分析的需求正在加速企業數據管理軟體的使用。

預計在預測期內，雲端基礎的部分將以最高的複合年成長率成長。

由於雲端基礎的擴充性、靈活性和成本效益，預計該領域將在預測期內實現最高成長率。雲端基礎的數據管理解決方案使企業能夠儲存、處理和分析大量數據，而無需進行大量的前期基礎設施投資。計量收費的概念以及與其他雲端服務的輕鬆連接使這些解決方案對各種規模的企業都具有吸引力。向遠端工作和數位轉型的轉變正在加速雲端運算的採用，使雲端基礎的類別成為商業數據管理行業成長最快的部署機制。

佔比最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其先進的IT基礎設施、數位技術的廣泛採用以及嚴格的監管框架。知名行業領袖的參與和對以數據為中心的計劃的大量投資也有助於市場擴張。此外，北美公司越來越重視管治、安全和合規性，對管理公司資料的先進系統的需求也隨之增加。該地區的創新優勢和對新技術的早期採用鞏固了其在全球市場中的地位。

複合年成長率最高的地區：

預計亞太地區在預測期內的複合年成長率最高。這是由數位化的快速發展、網際網路普及率的提高以及雲端基礎設施投資的不斷成長所推動的。該地區的新興經濟體正在採用企業資料管理系統來促進業務擴展、改善消費者體驗並滿足不斷變化的監管要求。此外，中小企業的成長以及人工智慧和分析技術的日益普及正在推動該地區市場的顯著擴張。隨著亞太地區企業加快數位轉型步伐，對複雜數據管理工具的需求預計將大幅增加。

提供免費客製化：

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    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第5章 全球企業資料管理市場（按組件）

  • 軟體
    • 資料安全
    • 數據品管
    • 資料整合和 ETL
    • 資料管治平台
    • 主資料管理 (MDM)
    • 資料倉儲
    • 資料遷移和整合工具
  • 服務
    • 託管服務
    • 專業服務
      • 諮詢和策略制定
      • 實施和整合服務
      • 支援和維護服務

第6章全球企業資料管理市場（依部署模式）

  • 本地
  • 雲端基礎
  • 混合

第7章 全球企業資料管理市場（依組織規模）

  • 小型企業
  • 主要企業

第8章 全球企業資料管理市場（依最終用戶）

  • 通訊與資訊科技（IT）
  • 零售和消費品
  • 醫療保健和生命科學
  • 銀行、金融服務和保險（BFSI）
  • 政府和國防
  • 製造業
  • 媒體與娛樂
  • 運輸/物流
  • 能源和公共產業
  • 其他最終用戶

第9章 全球企業資料管理市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章 公司概況

  • 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.