資料網格市場佔有率：依服務細分、業務功能、方法、應用程式和行業劃分 - 全球收入估算和需求預測（截至 2030 年）

全球資料網格市場規模預計將從 2023 年的 12.904 億美元成長到 2030 年的 37.943 億美元，預測期內複合年增長率為 16.9%。對數據民主化和可用性的需求不斷增長是該行業擴張的主要原因。

市場洞察：

依地區劃分，北美以 40% 的佔有率領先該行業。該地區的多家公司正在採用資料網格技術，並認識到其解決複雜資料課題的潛力。一個主要趨勢是符合這些原則的專用平台和工具的出現。這些解決方案提供了分散的資料架構，有助於跨不同領域和團隊的無縫整合、可存取性和治理。

依業務職能劃分，未來 10 年人力資源預計將以 18% 的複合年增長率成長。這是由於越來越關注以員工為中心的計劃。人力資源部門依靠這些系統來管理各種電子資料來源的複雜性，包括績效統計、員工敬業度測量和技能清單。

醫療保健和生命科學產業預計將以 10 年來最快的速度成長 17%。這主要是由於醫療資訊量不斷增加，包括病患記錄、研究資訊和基因組數據。

該報告調查了全球數據網格市場，並提供了市場定義和概述、市場影響因素分析、市場規模趨勢和預測、各個細分市場/地區/主要國家的詳細分析、競爭環境和主要公司概況的集合等。

目錄

第1章 調查範圍

第2章 研究方法

第3章 執行摘要

第4章 市場指標

第5章 產業展望

• 市場動態
  • 趨勢
  • 促進因素
  • 抑制因素/問題
  • 促進因素和抑制因素影響分析
• COVID-19 的影響
• 波特五力分析

第6章 世界市場

• 概述
• 市場收入趨勢與預測：依產品類別
• 市場收入趨勢與預測：依業務功能劃分
• 市場收入趨勢/預測：依應用分類
• 市場收入趨勢與預測：依行業
• 市場收入趨勢/預測：依國家/地區劃分

第7章 北美市場

第8章 歐洲市場

第9章 亞太市場

第10章 拉丁美洲市場

第11章 中東/非洲市場

第12章 美國市場

第13章 加拿大市場

第14章 德國市場

第15章 法國市場

第16章 英國市場

第17章 義大利市場

第18章 西班牙市場

第19章 日本市場

第20章 中國市場

第21章 印度市場

第22章 澳洲市場

第23章 韓國市場

第24章 巴西市場

第25章 墨西哥市場

第26章 沙烏地阿拉伯市場

第27章 南非市場

第28章 阿聯酋市場

第29章 競爭格局

• 主要企業及產品一覽表
• 各大公司的競爭對標
• 主要公司的產品基準
• 近期策略發展

第30章 公司簡介

• 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 附錄

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