
Data Fabric Market Report and Forecast 2025-2034
Description
The global data fabric market size reached approximately USD 2.20 Billion in 2024. The market is projected to grow at a CAGR of 21.80% between 2025 and 2034, reaching a value of around USD 15.81 Billion by 2034.
Key Trends in the Market
Data fabric is a concept in the field of data management that acts as a one-stop solution for integrating and managing data from different sources and in various formats. Its purpose is to provide a unified and comprehensive view of data assets, regardless of where they are stored or how they are structured.
The EMR’s report titled “Data Fabric Market Report and Forecast 2025-2034 offers a detailed analysis of the market based on the following segments:
Market Breakup by Type
In-memory data fabric is likely to account for a majority of the data fabric market share due to its superior speed as compared to disk-based databases. In-memory databases store data in hardware memory, which allows for faster data access and retrieval. This speed advantage significantly reduces the time required to analyse and process data. In-memory databases are versatile and can be used in various environments, including cloud platforms and on-premises hardware ecosystems.
Market Share by Deployment
According to the data fabric market analysis, the cloud segment is anticipated to hold a major share of the market during the forecast period, primarily due to the efficiency and flexibility it offers to enterprises. Organisations are increasingly adopting cloud-based solutions to meet their data management needs and leverage the advantages it brings.
Competitive Landscape
The comprehensive EMR report provides an in-depth assessment of the market based on Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global data fabric market, covering their competitive landscape and the latest developments like mergers, acquisitions, investments and expansion plans.
Amazon Web Services, Inc.
Amazon Web Services, Inc. is a subsidiary of Amazon.com, primarily dealing with the cloud platform, AWS. Established in 2006, AWS offers a comprehensive suite of cloud computing services, providing businesses with on-demand computing power, storage, and other resources over the Internet.
Hewlett Packard Enterprise Development LP
Hewlett Packard Enterprise Development LP is a multinational information technology company headquartered in the United States. Founded in 2015, the company offers a comprehensive portfolio of products, software, and services designed for modern businesses and to promote digital transformation.
IBM Corporation
IBM Corporation is a multinational technology company based in the United States. Since its establishment in 1911, the company has developed its operations into various business segments, including cloud and cognitive software, global business services, global technology services, systems, and global financing.
Other data fabric market players include Oracle Corporation, SAP SE, Denodo Technologies, Inc., NetApp, Inc., Cloud Software Group, Inc. (TIBCO), Talend Group, Cloudera, Inc., and data.world, Inc., among others.
Key Trends in the Market
Data fabric is a concept in the field of data management that acts as a one-stop solution for integrating and managing data from different sources and in various formats. Its purpose is to provide a unified and comprehensive view of data assets, regardless of where they are stored or how they are structured.
- The proliferation of data sources, including IoT devices, social media, and enterprise applications, has led to a surge in data volume and variety, boosting the data fabric market demand. Data fabric solutions address the challenges of managing and harnessing this vast and complex data by providing a unified platform for data integration, aggregation, and governance.
- In today's fast-paced business landscape, it has become important for organisations to utilise real-time insights and make data-driven decisions. Hence, the demand for data fabric is surging due to its ability to facilitate real-time data processing and analytics, enabling businesses to derive actionable insights and respond swiftly to market dynamics.
- The integration of AI and machine learning technologies into business processes has become one of the crucial data fabric market trends. Data fabric solutions offer seamless integration of artificial intelligence (AI) and machine learning (ML) models into data pipelines, empowering organisations to utilise the power of advanced analytics and automation.
The EMR’s report titled “Data Fabric Market Report and Forecast 2025-2034 offers a detailed analysis of the market based on the following segments:
Market Breakup by Type
- Disk-based Data Fabric
- In-memory Data Fabric
- Solution
- Services
- On-premise
- Cloud
- Small and Medium Enterprise
- Large Enterprise
- Business Process Management
- Customer Experience Management
- Fraud Detection and Security Management
- Governance, Risk and Compliance Management
- Sales and Marketing Management
- Others
- BFSI
- Healthcare
- Manufacturing
- Media and Entertainment
- Retail and Ecommerce
- Telecommunications and IT
- Transportation and Logistics
- Others
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
In-memory data fabric is likely to account for a majority of the data fabric market share due to its superior speed as compared to disk-based databases. In-memory databases store data in hardware memory, which allows for faster data access and retrieval. This speed advantage significantly reduces the time required to analyse and process data. In-memory databases are versatile and can be used in various environments, including cloud platforms and on-premises hardware ecosystems.
Market Share by Deployment
According to the data fabric market analysis, the cloud segment is anticipated to hold a major share of the market during the forecast period, primarily due to the efficiency and flexibility it offers to enterprises. Organisations are increasingly adopting cloud-based solutions to meet their data management needs and leverage the advantages it brings.
Competitive Landscape
The comprehensive EMR report provides an in-depth assessment of the market based on Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global data fabric market, covering their competitive landscape and the latest developments like mergers, acquisitions, investments and expansion plans.
Amazon Web Services, Inc.
Amazon Web Services, Inc. is a subsidiary of Amazon.com, primarily dealing with the cloud platform, AWS. Established in 2006, AWS offers a comprehensive suite of cloud computing services, providing businesses with on-demand computing power, storage, and other resources over the Internet.
Hewlett Packard Enterprise Development LP
Hewlett Packard Enterprise Development LP is a multinational information technology company headquartered in the United States. Founded in 2015, the company offers a comprehensive portfolio of products, software, and services designed for modern businesses and to promote digital transformation.
IBM Corporation
IBM Corporation is a multinational technology company based in the United States. Since its establishment in 1911, the company has developed its operations into various business segments, including cloud and cognitive software, global business services, global technology services, systems, and global financing.
Other data fabric market players include Oracle Corporation, SAP SE, Denodo Technologies, Inc., NetApp, Inc., Cloud Software Group, Inc. (TIBCO), Talend Group, Cloudera, Inc., and data.world, Inc., among others.
Table of Contents
160 Pages
- 1 Executive Summary
- 1.1 Market Size 2024-2025
- 1.2 Market Growth 2025(F)-2034(F)
- 1.3 Key Demand Drivers
- 1.4 Key Players and Competitive Structure
- 1.5 Industry Best Practices
- 1.6 Recent Trends and Developments
- 1.7 Industry Outlook
- 2 Market Overview and Stakeholder Insights
- 2.1 Market Trends
- 2.2 Key Verticals
- 2.3 Key Regions
- 2.4 Supplier Power
- 2.5 Buyer Power
- 2.6 Key Market Opportunities and Risks
- 2.7 Key Initiatives by Stakeholders
- 3 Economic Summary
- 3.1 GDP Outlook
- 3.2 GDP Per Capita Growth
- 3.3 Inflation Trends
- 3.4 Democracy Index
- 3.5 Gross Public Debt Ratios
- 3.6 Balance of Payment (BoP) Position
- 3.7 Population Outlook
- 3.8 Urbanisation Trends
- 4 Country Risk Profiles
- 4.1 Country Risk
- 4.2 Business Climate
- 5 Global Data Fabric Market Analysis
- 5.1 Key Industry Highlights
- 5.2 Global Data Fabric Historical Market (2018-2024)
- 5.3 Global Data Fabric Market Forecast (2025-2034)
- 5.4 Global Data Fabric Market by Type
- 5.4.1 Disk-based Data Fabric
- 5.4.1.1 Historical Trend (2018-2024)
- 5.4.1.2 Forecast Trend (2025-2034)
- 5.4.2 In-memory Data Fabric
- 5.4.2.1 Historical Trend (2018-2024)
- 5.4.2.2 Forecast Trend (2025-2034)
- 5.5 Global Data Fabric Market by Component
- 5.5.1 Solution
- 5.5.1.1 Historical Trend (2018-2024)
- 5.5.1.2 Forecast Trend (2025-2034)
- 5.5.2 Services
- 5.5.2.1 Historical Trend (2018-2024)
- 5.5.2.2 Forecast Trend (2025-2034)
- 5.6 Global Data Fabric Market by Deployment
- 5.6.1 On-premise
- 5.6.1.1 Historical Trend (2018-2024)
- 5.6.1.2 Forecast Trend (2025-2034)
- 5.6.2 Cloud
- 5.6.2.1 Historical Trend (2018-2024)
- 5.6.2.2 Forecast Trend (2025-2034)
- 5.7 Global Data Fabric Market by Enterprise Size
- 5.7.1 Small and Medium Enterprise
- 5.7.1.1 Historical Trend (2018-2024)
- 5.7.1.2 Forecast Trend (2025-2034)
- 5.7.2 Large Enterprise
- 5.7.2.1 Historical Trend (2018-2024)
- 5.7.2.2 Forecast Trend (2025-2034)
- 5.8 Global Data Fabric Market by Application
- 5.8.1 Business Process Management
- 5.8.1.1 Historical Trend (2018-2024)
- 5.8.1.2 Forecast Trend (2025-2034)
- 5.8.2 Customer Experience Management
- 5.8.2.1 Historical Trend (2018-2024)
- 5.8.2.2 Forecast Trend (2025-2034)
- 5.8.3 Fraud Detection and Security Management
- 5.8.3.1 Historical Trend (2018-2024)
- 5.8.3.2 Forecast Trend (2025-2034)
- 5.8.4 Governance, Risk and Compliance Management
- 5.8.4.1 Historical Trend (2018-2024)
- 5.8.4.2 Forecast Trend (2025-2034)
- 5.8.5 Sales and Marketing Management
- 5.8.5.1 Historical Trend (2018-2024)
- 5.8.5.2 Forecast Trend (2025-2034)
- 5.8.6 Others
- 5.9 Global Data Fabric Market by End Use
- 5.9.1 BFSI
- 5.9.1.1 Historical Trend (2018-2024)
- 5.9.1.2 Forecast Trend (2025-2034)
- 5.9.2 Healthcare
- 5.9.2.1 Historical Trend (2018-2024)
- 5.9.2.2 Forecast Trend (2025-2034)
- 5.9.3 Manufacturing
- 5.9.3.1 Historical Trend (2018-2024)
- 5.9.3.2 Forecast Trend (2025-2034)
- 5.9.4 Media and Entertainment
- 5.9.4.1 Historical Trend (2018-2024)
- 5.9.4.2 Forecast Trend (2025-2034)
- 5.9.5 Retail and Ecommerce
- 5.9.5.1 Historical Trend (2018-2024)
- 5.9.5.2 Forecast Trend (2025-2034)
- 5.9.6 Telecommunications and IT
- 5.9.6.1 Historical Trend (2018-2024)
- 5.9.6.2 Forecast Trend (2025-2034)
- 5.9.7 Transportation and Logistics
- 5.9.7.1 Historical Trend (2018-2024)
- 5.9.7.2 Forecast Trend (2025-2034)
- 5.9.8 Others
- 5.10 Global Data Fabric Market by Region
- 5.10.1 North America
- 5.10.1.1 Historical Trend (2018-2024)
- 5.10.1.2 Forecast Trend (2025-2034)
- 5.10.2 Europe
- 5.10.2.1 Historical Trend (2018-2024)
- 5.10.2.2 Forecast Trend (2025-2034)
- 5.10.3 Asia Pacific
- 5.10.3.1 Historical Trend (2018-2024)
- 5.10.3.2 Forecast Trend (2025-2034)
- 5.10.4 Latin America
- 5.10.4.1 Historical Trend (2018-2024)
- 5.10.4.2 Forecast Trend (2025-2034)
- 5.10.5 Middle East and Africa
- 5.10.5.1 Historical Trend (2018-2024)
- 5.10.5.2 Forecast Trend (2025-2034)
- 6 North America Data Fabric Market Analysis
- 6.1 United States of America
- 6.1.1 Historical Trend (2018-2024)
- 6.1.2 Forecast Trend (2025-2034)
- 6.2 Canada
- 6.2.1 Historical Trend (2018-2024)
- 6.2.2 Forecast Trend (2025-2034)
- 7 Europe Data Fabric Market Analysis
- 7.1 United Kingdom
- 7.1.1 Historical Trend (2018-2024)
- 7.1.2 Forecast Trend (2025-2034)
- 7.2 Germany
- 7.2.1 Historical Trend (2018-2024)
- 7.2.2 Forecast Trend (2025-2034)
- 7.3 France
- 7.3.1 Historical Trend (2018-2024)
- 7.3.2 Forecast Trend (2025-2034)
- 7.4 Italy
- 7.4.1 Historical Trend (2018-2024)
- 7.4.2 Forecast Trend (2025-2034)
- 7.5 Others
- 8 Asia Pacific Data Fabric Market Analysis
- 8.1 China
- 8.1.1 Historical Trend (2018-2024)
- 8.1.2 Forecast Trend (2025-2034)
- 8.2 Japan
- 8.2.1 Historical Trend (2018-2024)
- 8.2.2 Forecast Trend (2025-2034)
- 8.3 India
- 8.3.1 Historical Trend (2018-2024)
- 8.3.2 Forecast Trend (2025-2034)
- 8.4 ASEAN
- 8.4.1 Historical Trend (2018-2024)
- 8.4.2 Forecast Trend (2025-2034)
- 8.5 Australia
- 8.5.1 Historical Trend (2018-2024)
- 8.5.2 Forecast Trend (2025-2034)
- 8.6 Others
- 9 Latin America Data Fabric Market Analysis
- 9.1 Brazil
- 9.1.1 Historical Trend (2018-2024)
- 9.1.2 Forecast Trend (2025-2034)
- 9.2 Argentina
- 9.2.1 Historical Trend (2018-2024)
- 9.2.2 Forecast Trend (2025-2034)
- 9.3 Mexico
- 9.3.1 Historical Trend (2018-2024)
- 9.3.2 Forecast Trend (2025-2034)
- 9.4 Others
- 10 Middle East and Africa Data Fabric Market Analysis
- 10.1 Saudi Arabia
- 10.1.1 Historical Trend (2018-2024)
- 10.1.2 Forecast Trend (2025-2034)
- 10.2 United Arab Emirates
- 10.2.1 Historical Trend (2018-2024)
- 10.2.2 Forecast Trend (2025-2034)
- 10.3 Nigeria
- 10.3.1 Historical Trend (2018-2024)
- 10.3.2 Forecast Trend (2025-2034)
- 10.4 South Africa
- 10.4.1 Historical Trend (2018-2024)
- 10.4.2 Forecast Trend (2025-2034)
- 10.5 Others
- 11 Market Dynamics
- 11.1 SWOT Analysis
- 11.1.1 Strengths
- 11.1.2 Weaknesses
- 11.1.3 Opportunities
- 11.1.4 Threats
- 11.2 Porter’s Five Forces Analysis
- 11.2.1 Supplier’s Power
- 11.2.2 Buyer’s Power
- 11.2.3 Threat of New Entrants
- 11.2.4 Degree of Rivalry
- 11.2.5 Threat of Substitutes
- 11.3 Key Indicators for Demand
- 11.4 Key Indicators for Price
- 12 Competitive Landscape
- 12.1 Supplier Selection
- 12.2 Key Global Players
- 12.3 Key Regional Players
- 12.4 Key Player Strategies
- 12.5 Company Profiles
- 12.5.1 Amazon Web Services, Inc
- 12.5.1.1 Company Overview
- 12.5.1.2 Product Portfolio
- 12.5.1.3 Demographic Reach and Achievements
- 12.5.1.4 Certifications
- 12.5.2 Hewlett Packard Enterprise Development LP
- 12.5.2.1 Company Overview
- 12.5.2.2 Product Portfolio
- 12.5.2.3 Demographic Reach and Achievements
- 12.5.2.4 Certifications
- 12.5.3 IBM Corporation
- 12.5.3.1 Company Overview
- 12.5.3.2 Product Portfolio
- 12.5.3.3 Demographic Reach and Achievements
- 12.5.3.4 Certifications
- 12.5.4 Oracle Corporation
- 12.5.4.1 Company Overview
- 12.5.4.2 Product Portfolio
- 12.5.4.3 Demographic Reach and Achievements
- 12.5.4.4 Certifications
- 12.5.5 SAP SE
- 12.5.5.1 Company Overview
- 12.5.5.2 Product Portfolio
- 12.5.5.3 Demographic Reach and Achievements
- 12.5.5.4 Certifications
- 12.5.6 Denodo Technologies, Inc.
- 12.5.6.1 Company Overview
- 12.5.6.2 Product Portfolio
- 12.5.6.3 Demographic Reach and Achievements
- 12.5.6.4 Certifications
- 12.5.7 NetApp, Inc.
- 12.5.7.1 Company Overview
- 12.5.7.2 Product Portfolio
- 12.5.7.3 Demographic Reach and Achievements
- 12.5.7.4 Certifications
- 12.5.8 Cloud Software Group, Inc. (TIBCO)
- 12.5.8.1 Company Overview
- 12.5.8.2 Product Portfolio
- 12.5.8.3 Demographic Reach and Achievements
- 12.5.8.4 Certifications
- 12.5.9 Talend Group
- 12.5.9.1 Company Overview
- 12.5.9.2 Product Portfolio
- 12.5.9.3 Demographic Reach and Achievements
- 12.5.9.4 Certifications
- 12.5.10 Cloudera, Inc.
- 12.5.10.1 Company Overview
- 12.5.10.2 Product Portfolio
- 12.5.10.3 Demographic Reach and Achievements
- 12.5.10.4 Certifications
- 12.5.11 data.world, Inc.
- 12.5.11.1 Company Overview
- 12.5.11.2 Product Portfolio
- 12.5.11.3 Demographic Reach and Achievements
- 12.5.11.4 Certifications
- 12.5.12 Others
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