资料网格市场占有率：依服务细分、业务功能、方法、应用程式和行业划分 - 全球收入估算和需求预测（截至 2030 年）

全球资料网格市场规模预计将从 2023 年的 12.904 亿美元成长到 2030 年的 37.943 亿美元，预测期内复合年增长率为 16.9%。对数据民主化和可用性的需求不断增长是该行业扩张的主要原因。

市场洞察：

依地区划分，北美以 40% 的占有率领先该行业。该地区的多家公司正在采用资料网格技术，并认识到其解决复杂资料课题的潜力。一个主要趋势是符合这些原则的专用平台和工具的出现。这些解决方案提供了分散的资料架构，有助于跨不同领域和团队的无缝整合、可存取性和治理。

依业务职能划分，未来 10 年人力资源预计将以 18% 的复合年增长率成长。这是由于越来越关注以员工为中心的计划。人力资源部门依靠这些系统来管理各种电子资料来源的复杂性，包括绩效统计、员工敬业度测量和技能清单。

医疗保健和生命科学产业预计将以 10 年来最快的速度成长 17%。这主要是由于医疗资讯量不断增加，包括病患记录、研究资讯和基因组数据。

该报告调查了全球数据网格市场，并提供了市场定义和概述、市场影响因素分析、市场规模趋势和预测、各个细分市场/地区/主要国家的详细分析、竞争环境和主要公司概况的集合等。

目录

第1章 调查范围

第2章 研究方法

第3章 执行摘要

第4章 市场指标

第5章 产业展望

• 市场动态
  • 趋势
  • 促进因素
  • 抑制因素/问题
  • 促进因素和抑制因素影响分析
• COVID-19 的影响
• 波特五力分析

第6章 世界市场

• 概述
• 市场收入趋势与预测：依产品类别
• 市场收入趋势与预测：依业务功能划分
• 市场收入趋势/预测：依应用分类
• 市场收入趋势与预测：依行业
• 市场收入趋势/预测：依国家/地区划分

第7章 北美市场

第8章 欧洲市场

第9章 亚太市场

第10章 拉丁美洲市场

第11章 中东/非洲市场

第12章 美国市场

第13章 加拿大市场

第14章 德国市场

第15章 法国市场

第16章 英国市场

第17章 义大利市场

第18章 西班牙市场

第19章 日本市场

第20章 中国市场

第21章 印度市场

第22章 澳洲市场

第23章 韩国市场

第24章 巴西市场

第25章 墨西哥市场

第26章 沙乌地阿拉伯市场

第27章 南非市场

第28章 阿联酋市场

第29章 竞争格局

• 主要企业及产品一览表
• 各大公司的竞争对标
• 主要公司的产品基准
• 近期策略发展

第30章 公司简介

• IBM Corporation
• Amazon Web Services Inc.
• SAP SE
• Oracle Corporation
• Informatica Inc.
• K2view Ltd.
• Talend Inc.
• Denodo Technologies Inc
• Hewlett Packard Enterprise Company
• NetApp Inc.
• Teradata Corporation
• Radiant Logic Inc.
• Snowflake Inc.
• Google LLC
• Microsoft Corporation

第31章 附录

Key Highlights

The data mesh market was valued at USD 1,290.4 million in 2023, and it will increase to USD 3,794.3 million, propelling at a 16.9% compound annual growth rate, by 2030.

The increasing need for data democratization as well as availability is a key reason for the expansion of this industry.

Inside the data mesh design system, this demand suggests a move toward providing various partners across an association secure and reliable access to important data.

By democratizing digital data, associations abolish traditional storehouses, thus refining a culture in which various groups can independently obtain, understand, and influence data appropriate to their targets and jobs.

This method allows harmonized efforts and enhances the decision-making procedures by allowing fast access to contextualized and continuous data.

The industry is also powered by the surging need of businesses for innovation, informed decision-making, and flexibility.

The idea of federated computational governance offers a large opportunity in the continuously developing field of data mesh architecture.

It results in a key change in the approach businesses handle and oversee their distributed electronic data. This approach mirrors a decentralized model, where management is distributed among various areas inside an organization.

Market Insights

North America is leading the industry, with a 40% share. Several businesses in the continent are accepting the data mesh technology, realizing its potential to address complex data challenges.

The arrival of specialized platforms, as well as tools tailored to these principles, is a substantial trend.

These solutions offer decentralized data architectures, which are helpful for seamless incorporation, accessibility, and governance across different domains and teams.

The U.S. is the largest contributor to the industry in North America, owing to the fact that the nation is ahead in terms of technological development.

The human resources category will advance at an 18% CAGR during this decade.

This is because of the increasing focus on employee-centric programs, which necessitate more customization and greater consciousness of workforce info.

HR departments are utilizing these systems to manage the complexity of various electronic data sources like performance statistics, worker engagement measures, and skills inventories.

The healthcare and life science category will propel at the fastest rate, of 17%, during this decade.

This is primarily because of the increasing volume of healthcare information, such as patient records, research information, and genomic data.

Enhanced incorporation and analysis across different data sources are allowed by the decentralized structure of the data mesh for various domains in the healthcare & life sciences.

The fine-grained method will advance at a 15% compound annual growth rate in the years to come. This method emphasizes granular and complex data management, which allows for meeting the rising requirements of associations for definite and exact data control.

Data diversity and complexity are rising continuously, which, along with the need for further data handling at miniature levels, boosts the industry.

The industry is observing a dynamic competitive landscape, with businesses competing to profit from the growing interest in decentralized data structures.

Many key companies are enhancing their services, tools, and platforms to streamline the procedure of employing these principles.

Table of Contents

Chapter 1. Research Scope

• 1.1. Research Objectives
• 1.2. Market Definition
• 1.3. Analysis Period
• 1.4. Market Size Breakdown by Segments
  • 1.4.1. Market size breakdown, by offering
  • 1.4.2. Market size breakdown, by business function
  • 1.4.3. Market size breakdown, by approach
  • 1.4.4. Market size breakdown, by application
  • 1.4.5. Market size breakdown, by vertical
  • 1.4.6. Market size breakdown, by region
  • 1.4.7. Market size breakdown, by country
• 1.5. Market Data Reporting Unit
  • 1.5.1. Value
• 1.6. Key Stakeholders

Chapter 2. Research Methodology

• 2.1. Secondary Research
  • 2.1.1. Paid
  • 2.1.2. Unpaid
  • 2.1.3. P&S Intelligence database
• 2.2. Primary Research
• 2.3. Market Size Estimation
• 2.4. Data Triangulation
• 2.5. Currency Conversion Rates
• 2.6. Assumptions for the Study
• 2.7. Notes and Caveats

Chapter 3. Executive Summary

Chapter 4. Market Indicators

Chapter 5. Industry Outlook

• 5.1. Market Dynamics
  • 5.1.1. Trends
  • 5.1.2. Drivers
  • 5.1.3. Restraints/challenges
  • 5.1.4. Impact analysis of drivers/restraints
• 5.2. Impact of COVID-19
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Bargaining power of buyers
  • 5.3.2. Bargaining power of suppliers
  • 5.3.3. Threat of new entrants
  • 5.3.4. Intensity of rivalry
  • 5.3.5. Threat of substitutes

Chapter 6. Global Market

• 6.1. Overview
• 6.2. Market Revenue, by Offering (2017-2030)
• 6.3. Market Revenue, by Business Function (2017-2030)
• 6.4. Market Revenue, by Approach (2017-2030)
• 6.5. Market Revenue, by Application (2017-2030)
• 6.6. Market Revenue, by Vertical (2017-2030)
• 6.7. Market Revenue, by Region (2017-2030)

Chapter 7. North America Market

• 7.1. Overview
• 7.2. Market Revenue, by Offering (2017-2030)
• 7.3. Market Revenue, by Business Function (2017-2030)
• 7.4. Market Revenue, by Approach (2017-2030)
• 7.5. Market Revenue, by Application (2017-2030)
• 7.6. Market Revenue, by Vertical (2017-2030)
• 7.7. Market Revenue, by Country (2017-2030)

Chapter 8. Europe Market

• 8.1. Overview
• 8.2. Market Revenue, by Offering (2017-2030)
• 8.3. Market Revenue, by Business Function (2017-2030)
• 8.4. Market Revenue, by Approach (2017-2030)
• 8.5. Market Revenue, by Application (2017-2030)
• 8.6. Market Revenue, by Vertical (2017-2030)
• 8.7. Market Revenue, by Country (2017-2030)

Chapter 9. APAC Market

• 9.1. Overview
• 9.2. Market Revenue, by Offering (2017-2030)
• 9.3. Market Revenue, by Business Function (2017-2030)
• 9.4. Market Revenue, by Approach (2017-2030)
• 9.5. Market Revenue, by Application (2017-2030)
• 9.6. Market Revenue, by Vertical (2017-2030)
• 9.7. Market Revenue, by Country (2017-2030)

Chapter 10. LATAM Market

• 10.1. Overview
• 10.2. Market Revenue, by Offering (2017-2030)
• 10.3. Market Revenue, by Business Function (2017-2030)
• 10.4. Market Revenue, by Approach (2017-2030)
• 10.5. Market Revenue, by Application (2017-2030)
• 10.6. Market Revenue, by Vertical (2017-2030)
• 10.7. Market Revenue, by Country (2017-2030)

Chapter 11. MEA Market

• 11.1. Overview
• 11.2. Market Revenue, by Offering (2017-2030)
• 11.3. Market Revenue, by Business Function (2017-2030)
• 11.4. Market Revenue, by Approach (2017-2030)
• 11.5. Market Revenue, by Application (2017-2030)
• 11.6. Market Revenue, by Vertical (2017-2030)
• 11.7. Market Revenue, by Country (2017-2030)

Chapter 12. U.S. Market

• 12.1. Overview
• 12.2. Market Revenue, by Offering (2017-2030)
• 12.3. Market Revenue, by Business Function (2017-2030)
• 12.4. Market Revenue, by Approach (2017-2030)
• 12.5. Market Revenue, by Application (2017-2030)
• 12.6. Market Revenue, by Vertical (2017-2030)

Chapter 13. Canada Market

• 13.1. Overview
• 13.2. Market Revenue, by Offering (2017-2030)
• 13.3. Market Revenue, by Business Function (2017-2030)
• 13.4. Market Revenue, by Approach (2017-2030)
• 13.5. Market Revenue, by Application (2017-2030)
• 13.6. Market Revenue, by Vertical (2017-2030)

Chapter 14. Germany Market

• 14.1. Overview
• 14.2. Market Revenue, by Offering (2017-2030)
• 14.3. Market Revenue, by Business Function (2017-2030)
• 14.4. Market Revenue, by Approach (2017-2030)
• 14.5. Market Revenue, by Application (2017-2030)
• 14.6. Market Revenue, by Vertical (2017-2030)

Chapter 15. France Market

• 15.1. Overview
• 15.2. Market Revenue, by Offering (2017-2030)
• 15.3. Market Revenue, by Business Function (2017-2030)
• 15.4. Market Revenue, by Approach (2017-2030)
• 15.5. Market Revenue, by Application (2017-2030)
• 15.6. Market Revenue, by Vertical (2017-2030)

Chapter 16. U.K. Market

• 16.1. Overview
• 16.2. Market Revenue, by Offering (2017-2030)
• 16.3. Market Revenue, by Business Function (2017-2030)
• 16.4. Market Revenue, by Approach (2017-2030)
• 16.5. Market Revenue, by Application (2017-2030)
• 16.6. Market Revenue, by Vertical (2017-2030)

Chapter 17. Italy Market

• 17.1. Overview
• 17.2. Market Revenue, by Offering (2017-2030)
• 17.3. Market Revenue, by Business Function (2017-2030)
• 17.4. Market Revenue, by Approach (2017-2030)
• 17.5. Market Revenue, by Application (2017-2030)
• 17.6. Market Revenue, by Vertical (2017-2030)

Chapter 18. Spain Market

• 18.1. Overview
• 18.2. Market Revenue, by Offering (2017-2030)
• 18.3. Market Revenue, by Business Function (2017-2030)
• 18.4. Market Revenue, by Approach (2017-2030)
• 18.5. Market Revenue, by Application (2017-2030)
• 18.6. Market Revenue, by Vertical (2017-2030)

Chapter 19. Japan Market

• 19.1. Overview
• 19.2. Market Revenue, by Offering (2017-2030)
• 19.3. Market Revenue, by Business Function (2017-2030)
• 19.4. Market Revenue, by Approach (2017-2030)
• 19.5. Market Revenue, by Application (2017-2030)
• 19.6. Market Revenue, by Vertical (2017-2030)

Chapter 20. China Market

• 20.1. Overview
• 20.2. Market Revenue, by Offering (2017-2030)
• 20.3. Market Revenue, by Business Function (2017-2030)
• 20.4. Market Revenue, by Approach (2017-2030)
• 20.5. Market Revenue, by Application (2017-2030)
• 20.6. Market Revenue, by Vertical (2017-2030)

Chapter 21. India Market

• 21.1. Overview
• 21.2. Market Revenue, by Offering (2017-2030)
• 21.3. Market Revenue, by Business Function (2017-2030)
• 21.4. Market Revenue, by Approach (2017-2030)
• 21.5. Market Revenue, by Application (2017-2030)
• 21.6. Market Revenue, by Vertical (2017-2030)

Chapter 22. Australia Market

• 22.1. Overview
• 22.2. Market Revenue, by Offering (2017-2030)
• 22.3. Market Revenue, by Business Function (2017-2030)
• 22.4. Market Revenue, by Approach (2017-2030)
• 22.5. Market Revenue, by Application (2017-2030)
• 22.6. Market Revenue, by Vertical (2017-2030)

Chapter 23. South Korea Market

• 23.1. Overview
• 23.2. Market Revenue, by Offering (2017-2030)
• 23.3. Market Revenue, by Business Function (2017-2030)
• 23.4. Market Revenue, by Approach (2017-2030)
• 23.5. Market Revenue, by Application (2017-2030)
• 23.6. Market Revenue, by Vertical (2017-2030)

Chapter 24. Brazil Market

• 24.1. Overview
• 24.2. Market Revenue, by Offering (2017-2030)
• 24.3. Market Revenue, by Business Function (2017-2030)
• 24.4. Market Revenue, by Approach (2017-2030)
• 24.5. Market Revenue, by Application (2017-2030)
• 24.6. Market Revenue, by Vertical (2017-2030)

Chapter 25. Mexico Market

• 25.1. Overview
• 25.2. Market Revenue, by Offering (2017-2030)
• 25.3. Market Revenue, by Business Function (2017-2030)
• 25.4. Market Revenue, by Approach (2017-2030)
• 25.5. Market Revenue, by Application (2017-2030)
• 25.6. Market Revenue, by Vertical (2017-2030)

Chapter 26. Saudi Arabia Market

• 26.1. Overview
• 26.2. Market Revenue, by Offering (2017-2030)
• 26.3. Market Revenue, by Business Function (2017-2030)
• 26.4. Market Revenue, by Approach (2017-2030)
• 26.5. Market Revenue, by Application (2017-2030)
• 26.6. Market Revenue, by Vertical (2017-2030)

Chapter 27. South Africa Market

• 27.1. Overview
• 27.2. Market Revenue, by Offering (2017-2030)
• 27.3. Market Revenue, by Business Function (2017-2030)
• 27.4. Market Revenue, by Approach (2017-2030)
• 27.5. Market Revenue, by Application (2017-2030)
• 27.6. Market Revenue, by Vertical (2017-2030)

Chapter 28. U.A.E. Market

• 28.1. Overview
• 28.2. Market Revenue, by Offering (2017-2030)
• 28.3. Market Revenue, by Business Function (2017-2030)
• 28.4. Market Revenue, by Approach (2017-2030)
• 28.5. Market Revenue, by Application (2017-2030)
• 28.6. Market Revenue, by Vertical (2017-2030)

Chapter 29. Competitive Landscape

• 29.1. List of Market Players and their Offerings
• 29.2. Competitive Benchmarking of Key Players
• 29.3. Product Benchmarking of Key Players
• 29.4. Recent Strategic Developments

Chapter 30. Company Profiles

• 30.1. IBM Corporation
  • 30.1.1. Business overview
  • 30.1.2. Product and service offerings
  • 30.1.3. Key financial summary
• 30.2. Amazon Web Services Inc.
  • 30.2.1. Business overview
  • 30.2.2. Product and service offerings
  • 30.2.3. Key financial summary
• 30.3. SAP SE
  • 30.3.1. Business overview
  • 30.3.2. Product and service offerings
  • 30.3.3. Key financial summary
• 30.4. Oracle Corporation
  • 30.4.1. Business overview
  • 30.4.2. Product and service offerings
  • 30.4.3. Key financial summary
• 30.5. Informatica Inc.
  • 30.5.1. Business overview
  • 30.5.2. Product and service offerings
  • 30.5.3. Key financial summary
• 30.6. K2view Ltd.
  • 30.6.1. Business overview
  • 30.6.2. Product and service offerings
  • 30.6.3. Key financial summary
• 30.7. Talend Inc.
  • 30.7.1. Business overview
  • 30.7.2. Product and service offerings
  • 30.7.3. Key financial summary
• 30.8. Denodo Technologies Inc
  • 30.8.1. Business overview
  • 30.8.2. Product and service offerings
  • 30.8.3. Key financial summary
• 30.9. Hewlett Packard Enterprise Company
  • 30.9.1. Business overview
  • 30.9.2. Product and service offerings
  • 30.9.3. Key financial summary
• 30.10. NetApp Inc.
  • 30.10.1. Business overview
  • 30.10.2. Product and service offerings
  • 30.10.3. Key financial summary
• 30.11. Teradata Corporation
  • 30.11.1. Business overview
  • 30.11.2. Product and service offerings
  • 30.11.3. Key financial summary
• 30.12. Radiant Logic Inc.
  • 30.12.1. Business overview
  • 30.12.2. Product and service offerings
  • 30.12.3. Key financial summary
• 30.13. Snowflake Inc.
  • 30.13.1. Business overview
  • 30.13.2. Product and service offerings
  • 30.13.3. Key financial summary
• 30.14. Google LLC
  • 30.14.1. Business overview
  • 30.14.2. Product and service offerings
  • 30.14.3. Key financial summary
• 30.15. Microsoft Corporation
  • 30.15.1. Business overview
  • 30.15.2. Product and service offerings
  • 30.15.3. Key financial summary

Chapter 31. Appendix

• 31.1. Abbreviations
• 31.2. Sources and References
• 31.3. Related Reports