データメッシュの市場シェア：提供区分・ビジネス機能・アプローチ・用途・産業別 - 世界の収益推計・需要予測 (～2030年)

世界のデータメッシュの市場規模は、2023年の12億9,040万米ドルから、予測期間中はCAGR 16.9%で推移し、2030年には37億9,430万米ドルの規模に成長すると予測されています。データの民主化と可用性に対するニーズの高まりが、この業界の拡大の主な理由です。

市場インサイト：

地域別では、北米が40％のシェアで業界をリードしています。同地域の複数の企業がデータメッシュ技術を受け入れ、複雑なデータ課題に対処できる可能性を認識しています。専門的なプラットフォームや、これらの原則に合わせたツールの登場が大きな動向です。これらのソリューションは分散型データアーキテクチャを提供するため、異なるドメインやチーム間でのシームレスな統合、アクセシビリティ、ガバナンスに役立ちます。

ビジネス機能別では人事の部門が10年間でCAGR 18％で成長する見通しです。これは、従業員中心のプログラムへの注目が高まっているためです。人事部門は、業績統計、従業員のエンゲージメント測定、スキルインベントリなど、さまざまな電子データソースの複雑さを管理するために、これらのシステムを活用しています。

ヘルスケア・ライフサイエンスの部門は10年間で17％という最速のペースで成長する見通しです。これは主に、患者記録、研究情報、ゲノムデータなど、医療情報の量が増加しているためです。

当レポートでは、世界のデータメッシュの市場を調査し、市場の定義と概要、市場影響因子の分析、市場規模の推移・予測、各種区分・地域/主要国別の詳細分析、競合環境、主要企業のプロファイルなどをまとめています。

目次

第1章 調査範囲

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場指標

第5章 業界の展望

• 市場力学
  • 動向
  • 促進要因
  • 抑制要因・課題
  • 促進要因・抑制要因の影響分析
• COVID-19の影響
• ポーターのファイブフォース分析

第6章 世界市場

• 概要
• 市場収益の推移・予測：提供区分別
• 市場収益の推移・予測：ビジネス機能別
• 市場収益の推移・予測：用途別
• 市場収益の推移・予測：産業別
• 市場収益の推移・予測：国別

第7章 北米市場

第8章 欧州市場

第9章 アジア太平洋市場

第10章 ラテンアメリカ市場

第11章 中東・アフリカ市場

第12章 米国市場

第13章 カナダ市場

第14章 ドイツ市場

第15章 フランス市場

第16章 英国市場

第17章 イタリア市場

第18章 スペイン市場

第19章 日本市場

第20章 中国市場

第21章 インド市場

第22章 オーストラリア市場

第23章 韓国市場

第24章 ブラジル市場

第25章 メキシコ市場

第26章 サウジアラビア市場

第27章 南アフリカ市場

第28章 UAE市場

第29章 競合情勢

• 主要企業・製品のリスト
• 主要企業の競合ベンチマーキング
• 主要企業の製品ベンチマーク
• 最近の戦略的展開

第30章 企業プロファイル

• 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 付録

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