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市场调查报告书
商品编码
1896223

资料网格市场预测至2032年：按组件、资料领域重点、部署模式、所有权模式、最终使用者和区域分類的全球分析

Data Mesh Market Forecasts to 2032 - Global Analysis By Component (Platform Infrastructure, Data Mesh Tools & Frameworks, Governance & Security Solutions and Services), Data Domain Focus, Deployment Mode, Ownership Model, 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，全球资料网格市场价值将达到 19 亿美元，到 2032 年将达到 52 亿美元，在预测期内的复合年增长率为 15%。

资料网格是一种在大型组织内部实现资料管理和存取去中心化的方法。它与传统的集中式资料架构不同，将资料视为一种产品，并将所有权分配给负责每个资料集的跨职能领域团队。这种调查方法强调面向领域的去中心化、自助式数据基础设施和联合管治，使团队能够独立地产生、维护和提供数据，同时确保互通性和品质标准。透过提升可扩展性、敏捷性和协作性，资料网格减少了单体资料仓储中常见的瓶颈。它使数据易于存取和发现，从而培养信任文化，并赋予组织在所有业务领域更快地做出数据驱动的决策。

分散式资料架构的需求日益增长

为了满足日益增长的分散式资料架构需求，企业正在加速采用资料网格框架。这种需求源自于集中式资料湖的局限性，集中式资料湖往往会造成瓶颈并降低敏捷性。资料网格支援面向领域的所有权，使团队能够更自主地将资料作为产品进行管理。这种分散式方法提高了可扩展性，并支援在复杂的组织中进行即时分析。随着数位转型的加速，企业需要能够适应分散式经营模式的灵活架构。对分散式资料架构日益增长的需求正在推动资料网格解决方案在全球范围内的普及。

组织资料所有权实施的复杂性

企业在多个领域重新定义角色、职责和管治结构方面面临重重挑战。摆脱集中式模式需要文化变革和大量的培训投入。缺乏标准化实践往往会导致数据品质和可访问性方面的不一致。对于规模小规模的组织而言，建立特定领域的所有权模型更具挑战性。儘管各方兴趣浓厚，但组织协调的复杂性仍然是阻碍其广泛应用的限制因素。

各企业部门的采用情况

资料网格的应用正在金融、医疗保健、零售和製造业等多个企业领域迅速扩展。拥有复杂资料生态系统的产业可受益于去中心化的所有权模式，进而提升敏捷性。医疗保健和生命科学领域正在利用数据网格来管理敏感的患者数据，同时确保合规性。金融服务业则利用去中心化架构来增强风险管理和客户分析能力。数据网格在众多行业的广泛应用，为市场带来了巨大的成长机会。

资料安全和监管合规挑战

企业面临治理结构分散和合管治标准执行不一致所带来的风险。诸如 GDPR 和 HIPAA 等法规增加了分散式资料系统管理的复杂性。确保跨多个领域的安全存取需要对监控和控制进行大量投资。违规的风险包括罚款、声誉损害和业务中断。安全和合规的挑战会削弱市场信心，并威胁永续成长。

新冠疫情的感染疾病

新冠疫情加速了数位转型，并凸显了可扩展资料架构的重要性。儘管预算限制延缓了资料网格框架的大规模应用，但远距办公的普及和对数位服务日益增长的依赖推动了对分散式资料解决方案的需求。企业寻求能够支援分散式团队和即时决策的敏捷架构。尤其值得一提的是，医疗保健和生命科学领域从采用资料网格安全地管理疫情相关资料中获益匪浅。

预计在预测期内，平台基础设施细分市场将占据最大的市场份额。

由于平台基础设施在建立可扩展的分散式架构和支援企业数位化转型方面发挥重要作用，预计在预测期内，平台基础设施细分市场将占据最大的市场份额。基础设施平台透过整合管治、监控和编配工具，拥有面向领域的拥有者群体。企业依靠强大的基础设施来降低复杂性并加速分析交付。随着组织对其IT系统进行现代化改造，对集中式且灵活的基础设施的需求日益增长。随着分散式架构的普及，平台基础设施将继续作为资料网格的基础，进一步推动市场发展。

预计在预测期内，医疗保健和生命科学领域将呈现最高的复合年增长率。

由于医疗研究和患者照护领域对安全、合规且可扩展的数据架构的需求不断增长，预计医疗保健和生命科学领域在预测期内将实现最高增长率。医疗机构需要一个分散式框架来管理跨多个领域的敏感资料。资料网格能够帮助企业遵守严格的法规，同时提高临床和营运分析的敏捷性。对数位健康和​​基因组学领域不断增长的投资进一步推动了该领域的需求。随着医疗保健和生命科学领域数位化进程的加速，资料网格正在推动市场成长。

比最大的地区

由于先进的IT基础设施、健全的法规结构以及企业对分散式资料架构的早期采用，预计北美地区将在预测期内占据最大的市场份额。主要技术提供者的存在和成熟的数位生态系统为大规模应用提供了支援。监管机构对合规性和创新性的重视正在推动安全资料网格解决方案的普及。北美企业优先考虑资料管理的敏捷性和透明度。北美成熟的数位环境正在推动资料网格市场的持续成长。

年复合成长率最高的地区

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于新兴经济体的快速工业化、云端运算的日益普及以及政府主导的数位化倡议。中国、印度和东南亚等国家正大力投资IT现代化和分散式资料平台。电子商务、金融科技和医疗保健分析领域的需求不断增长，推动了资料网格解决方案的普及。当地企业正在加速采用可扩展架构，以满足其不断增长的数位化需求。亚太地区数位化扩张和创新的强劲势头正在推动数据网格市场的发展。

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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
  • 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. 全球资料网格市场（按组件划分）

  • 平台基础设施
  • 资料网格工具和框架
  • 管治与安全解决方案
  • 服务
    • 咨询服务
    • 实施整合服务
    • 託管服务
    • 培训和支援服务

6. 全球资料网格市场按资料域划分

  • 客户数据
  • 产品数据
  • 财务数据
  • 营运数据
  • 其他的

7. 全球资料网格市场按部署模式划分

  • 本地部署
  • 基于云端的

8. 全球资料网格市场（以所有权模式划分）

  • 数据产品负责人
  • 领域数据团队
  • 中央数据与分析团队
  • IT与平台工程团队
  • 其他的

9. 全球资料网格市场（按最终用户划分）

  • 资讯科技与通讯
  • 银行、金融服务和保险（BFSI）
  • 医疗保健和生命科学
  • 零售与电子商务
  • 製造业
  • 政府/公共部门
  • 能源公共产业
  • 其他的

第十章 全球资料网格市场（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
    • 亚太其他地区
  • 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

第十一章 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

第十二章：企业概况

  • ThoughtWorks, Inc.
  • Accenture Plc
  • Capgemini SE
  • Infosys Limited
  • Wipro Limited
  • Tata Consultancy Services（TCS）
  • Deloitte Touche Tohmatsu Limited
  • Ernst & Young（EY）
  • KPMG International Limited
  • Cognizant Technology Solutions
  • DataStax, Inc.
  • Starburst Data, Inc.
  • Snowflake Inc.
  • Databricks, Inc.
  • Microsoft Corporation
Product Code: SMRC32911

According to Stratistics MRC, the Global Data Mesh Market is accounted for $1.9 billion in 2025 and is expected to reach $5.2 billion by 2032 growing at a CAGR of 15% during the forecast period. Data Mesh is a decentralized approach to managing and accessing data in large organizations. Unlike traditional centralized data architectures, it treats data as a product and assigns ownership to cross-functional domain teams responsible for their datasets. This methodology emphasizes domain-oriented decentralization, self-serve data infrastructure, and federated governance, enabling teams to produce, maintain, and serve data independently while ensuring interoperability and quality standards. By promoting scalability, agility, and collaboration, Data Mesh reduces bottlenecks common in monolithic data warehouses. It fosters a culture where data is accessible, discoverable, and trustworthy, empowering organizations to make faster, data-driven decisions across all business domains.

Market Dynamics:

Driver:

Rising need for decentralized data architecture

Enterprises are increasingly adopting data mesh frameworks to meet the rising need for decentralized data architecture. Demand is driven by the limitations of centralized data lakes which often create bottlenecks and reduce agility. Data mesh enables domain-oriented ownership allowing teams to manage data as a product with greater autonomy. This decentralized approach improves scalability and supports real-time analytics across complex organizations. As digital transformation accelerates enterprises require flexible architectures that align with distributed business models. Rising need for decentralized data architecture is propelling adoption of data mesh solutions globally.

Restraint:

Complexity in implementing organizational data ownership

Enterprises struggle to redefine roles responsibilities and governance structures across multiple domains. Transitioning from centralized models requires cultural change and significant investment in training. Lack of standardized practices often leads to inconsistencies in data quality and accessibility. Smaller organizations face greater challenges in building domain-specific ownership models. Complexity in organizational alignment remains a restraint that hinders widespread adoption despite strong interest.

Opportunity:

Adoption across diverse enterprise sectors

Data mesh adoption is expanding across diverse enterprise sectors including finance healthcare retail and manufacturing. Industries with complex data ecosystems benefit from decentralized ownership models that improve agility. Healthcare and life sciences leverage data mesh to manage sensitive patient data while ensuring compliance. Financial services use decentralized architectures to enhance risk management and customer analytics. Broad sectoral adoption is fostering significant opportunities for growth in the market.

Threat:

Data security and regulatory compliance challenges

Enterprises face risks related to fragmented governance and inconsistent enforcement of compliance standards. Regulations such as GDPR and HIPAA increase complexity in managing decentralized data systems. Ensuring secure access across multiple domains requires heavy investment in monitoring and controls. Non-compliance risks include fines reputational damage and operational disruption. Security and compliance challenges are restraining confidence and threatening consistent growth in the market.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital transformation and highlighted the importance of scalable data architectures. On one hand budget constraints delayed some large-scale deployments of data mesh frameworks. On the other hand remote work and increased reliance on digital services boosted demand for decentralized data solutions. Enterprises sought agile architectures to support distributed teams and real-time decision-making. Healthcare and life sciences particularly benefited from data mesh adoption to manage pandemic-related data securely.

The platform infrastructure segment is expected to be the largest during the forecast period

The platform infrastructure segment is expected to account for the largest market share during the forecast period driven by its role in enabling scalable decentralized architectures and supporting enterprise-wide digital transformation. Infrastructure platforms provide the foundation for domain-oriented ownership by integrating governance monitoring and orchestration tools. Enterprises rely on robust infrastructure to reduce complexity and accelerate analytics delivery. Demand for centralized yet flexible infrastructure is rising as organizations modernize IT systems. As decentralized adoption expands platform infrastructure remains the backbone of data mesh thus accelerating the market.

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 y rising demand for secure compliant and scalable data architectures in medical research and patient care. Healthcare organizations require decentralized frameworks to manage sensitive data across multiple domains. Data mesh enables compliance with strict regulations while improving agility in clinical and operational analytics. Growing investment in digital health and genomics further strengthens demand in this segment. As healthcare and life sciences accelerate digital adoption data mesh is propelling growth in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share driven by advanced IT infrastructure strong regulatory frameworks and early adoption of decentralized data architectures by enterprises. The presence of leading technology providers and mature digital ecosystems supports large-scale deployments. Regulatory emphasis on compliance and innovation drives adoption of secure data mesh solutions. Enterprises in North America prioritize agility and transparency in data management. North America's mature digital landscape is fostering sustained growth in the data mesh market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR fueled by rapid industrialization expanding cloud adoption and government-led digital initiatives across emerging economies. Countries such as China India and Southeast Asia are investing heavily in IT modernization and decentralized data platforms. Rising demand for e-commerce fintech and healthcare analytics strengthens adoption of data mesh solutions. Local enterprises are increasingly deploying scalable architectures to meet growing digital needs. Asia Pacific's digital expansion and innovation momentum are propelling the data mesh market.

Key players in the market

Some of the key players in Data Mesh Market include ThoughtWorks, Inc., Accenture Plc, Capgemini SE, Infosys Limited, Wipro Limited, Tata Consultancy Services (TCS), Deloitte Touche Tohmatsu Limited, Ernst & Young (EY), KPMG International Limited, Cognizant Technology Solutions, DataStax, Inc., Starburst Data, Inc., Snowflake Inc., Databricks, Inc. and Microsoft Corporation.

Key Developments:

In October 2024, ThoughtWorks partnered with Starburst, the data lakehouse analytics company, to launch a joint solution accelerator for Data Mesh. This collaboration combines ThoughtWorks' strategic advisory with Starburst's Galaxy platform to help enterprises design and implement interoperable data products at scale.

In September 2023, Capgemini announced an expanded global strategic partnership with Celonis. This collaboration focuses on integrating process mining with data mesh principles to enable businesses to identify and act upon data-driven insights directly from their core execution systems, optimizing data products for operational value.

Components Covered:

  • Platform Infrastructure
  • Data Mesh Tools & Frameworks
  • Governance & Security Solutions
  • Services

Data Domain Focuses Covered:

  • Customer Data
  • Product Data
  • Financial Data
  • Operational Data
  • Other Data Domain Focuses

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Ownership Models Covered:

  • Data Product Owners
  • Domain Data Teams
  • Central Data & Analytics Teams
  • IT & Platform Engineering Teams
  • Other Ownership Models

End Users Covered:

  • Information Technology & Telecom
  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing
  • Government & Public Sector
  • Energy & 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 Data Mesh Market, By Component

  • 5.1 Introduction
  • 5.2 Platform Infrastructure
  • 5.3 Data Mesh Tools & Frameworks
  • 5.4 Governance & Security Solutions
  • 5.5 Services
    • 5.5.1 Consulting Services
    • 5.5.2 Implementation & Integration Services
    • 5.5.3 Managed Services
    • 5.5.4 Training & Support Services

6 Global Data Mesh Market, By Data Domain Focus

  • 6.1 Introduction
  • 6.2 Customer Data
  • 6.3 Product Data
  • 6.4 Financial Data
  • 6.5 Operational Data
  • 6.6 Other Data Domain Focuses

7 Global Data Mesh Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global Data Mesh Market, By Ownership Model

  • 8.1 Introduction
  • 8.2 Data Product Owners
  • 8.3 Domain Data Teams
  • 8.4 Central Data & Analytics Teams
  • 8.5 IT & Platform Engineering Teams
  • 8.6 Other Ownership Models

9 Global Data Mesh Market, By End User

  • 9.1 Introduction
  • 9.2 Information Technology & Telecom
  • 9.3 Banking, Financial Services & Insurance (BFSI)
  • 9.4 Healthcare & Life Sciences
  • 9.5 Retail & E-commerce
  • 9.6 Manufacturing
  • 9.7 Government & Public Sector
  • 9.8 Energy & Utilities
  • 9.9 Other End Users

10 Global Data Mesh Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 ThoughtWorks, Inc.
  • 12.2 Accenture Plc
  • 12.3 Capgemini SE
  • 12.4 Infosys Limited
  • 12.5 Wipro Limited
  • 12.6 Tata Consultancy Services (TCS)
  • 12.7 Deloitte Touche Tohmatsu Limited
  • 12.8 Ernst & Young (EY)
  • 12.9 KPMG International Limited
  • 12.10 Cognizant Technology Solutions
  • 12.11 DataStax, Inc.
  • 12.12 Starburst Data, Inc.
  • 12.13 Snowflake Inc.
  • 12.14 Databricks, Inc.
  • 12.15 Microsoft Corporation

List of Tables

  • Table 1 Global Data Mesh Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Data Mesh Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Data Mesh Market Outlook, By Platform Infrastructure (2024-2032) ($MN)
  • Table 4 Global Data Mesh Market Outlook, By Data Mesh Tools & Frameworks (2024-2032) ($MN)
  • Table 5 Global Data Mesh Market Outlook, By Governance & Security Solutions (2024-2032) ($MN)
  • Table 6 Global Data Mesh Market Outlook, By Services (2024-2032) ($MN)
  • Table 7 Global Data Mesh Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 8 Global Data Mesh Market Outlook, By Implementation & Integration Services (2024-2032) ($MN)
  • Table 9 Global Data Mesh Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 10 Global Data Mesh Market Outlook, By Training & Support Services (2024-2032) ($MN)
  • Table 11 Global Data Mesh Market Outlook, By Data Domain Focus (2024-2032) ($MN)
  • Table 12 Global Data Mesh Market Outlook, By Customer Data (2024-2032) ($MN)
  • Table 13 Global Data Mesh Market Outlook, By Product Data (2024-2032) ($MN)
  • Table 14 Global Data Mesh Market Outlook, By Financial Data (2024-2032) ($MN)
  • Table 15 Global Data Mesh Market Outlook, By Operational Data (2024-2032) ($MN)
  • Table 16 Global Data Mesh Market Outlook, By Other Data Domain Focuses (2024-2032) ($MN)
  • Table 17 Global Data Mesh Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 18 Global Data Mesh Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 19 Global Data Mesh Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 20 Global Data Mesh Market Outlook, By Ownership Model (2024-2032) ($MN)
  • Table 21 Global Data Mesh Market Outlook, By Data Product Owners (2024-2032) ($MN)
  • Table 22 Global Data Mesh Market Outlook, By Domain Data Teams (2024-2032) ($MN)
  • Table 23 Global Data Mesh Market Outlook, By Central Data & Analytics Teams (2024-2032) ($MN)
  • Table 24 Global Data Mesh Market Outlook, By IT & Platform Engineering Teams (2024-2032) ($MN)
  • Table 25 Global Data Mesh Market Outlook, By Other Ownership Models (2024-2032) ($MN)
  • Table 26 Global Data Mesh Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Data Mesh Market Outlook, By Information Technology & Telecom (2024-2032) ($MN)
  • Table 28 Global Data Mesh Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 29 Global Data Mesh Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 30 Global Data Mesh Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 31 Global Data Mesh Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 32 Global Data Mesh Market Outlook, By Government & Public Sector (2024-2032) ($MN)
  • Table 33 Global Data Mesh Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 34 Global Data Mesh Market Outlook, By Other End Users (2024-2032) ($MN)

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