Data Fabric Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of Data Fabric Market
The data fabric market size was valued at USD 2.29 billion in 2023, and the market is now projected to grow from USD 2.77 billion in 2024 to USD 12.91 billion by 2032, exhibiting a CAGR of 21.2% during the forecast period of 2023-2032.
The surge in digitalization has led to unstable and new data sources, causing significant data management challenges for businesses. The COVID-19 pandemic accelerated this issue, with daily data volumes skyrocketing as activities shifted online. Many companies are integrating advanced data management architectures into their workflows to cope. Consequently, businesses globally are hastening their digital transformation efforts for data fabric market growth.
The digital transformation and rise of online platforms have significantly increased data fabric market share. Enterprises now store data and insights across diverse, distributed sources, creating challenges for data management providers. The complexity of managing and integrating these varied data assets has grown. Consequently, the integration of AI/ML in data tools is surging in demand to address these issues.
Additionally, secured and robust data is crucial for business operations and successful outcomes, achieved by complying with global regulations to safeguard sensitive information. A significant majority of customers seek companies that prioritize data protection. Consequently, organizations worldwide are adopting more secure data management tools. Data fabric architecture enhances security by providing a secure-by-design framework, protecting against unauthorized access and data exploitation.
Comprehensive Analysis of Data Fabric Market
The data fabric market and information & communication technology industry are growing rapidly due to effective market segmentation. This expansion highlights the key supply and demand forces benefiting the industry. Segmentation is systematically categorized by deployment, type, applications, enterprise size, and industry. The deployment includes, Cloud and On-premise. The types include, Disk-based and In-memory. The application includes, Fraud Detection & Security Management, Governance, Risk & Compliance Management, Customer Experience Management, Sales & Marketing Management, Business Process Management, and Others. The enterprise type includes, Large Enterprise and Small & Medium Enterprise (SME). In the end by industry includes, BFSI, IT & Telecom, Retail & E-Commerce, Healthcare & Life Sciences, Manufacturing, Government, Energy & Utilities and Others.
North America leads the market North America leads the market because of several records control answer companies and the early adoption of advanced technology. The region significantly contributes with its extensive data collection from unstructured sources and numerous data centers. These factors are major drivers of market growth in the region. As a result, North America remains at the forefront of data management advancements.
Key industry players are essential in the information and communication technology industry, driving industrial increase and organising marketplace standards. These players consist of, IBM Corporation (U.S.), Oracle Corporation (U.S.), Hewlett Packard Enterprise Company (U.S.), SAP SE (Germany), NetApp, Inc. (U.S.), TIBCO Software Inc. (U.S.), Talend Inc. (U.S.), Denodo Technologies Inc. (U.S.), Cloudera, Inc. (U.S.) and CluedIn (Denmark).
In June 2023, CloudFabrix, the creator of Robotic Data Automation Fabric (RDAF), introduced Data Fabric for Observability integrated with Cisco's Observability Platform's Dynamic Data Ingestion and Automation Service (DIA). Additionally, CloudFabrix confirmed the service's effectiveness across various application components on the Cisco Observability Platform.
Segmentation Table
Global Data Fabric Market Scope
Study Period 2019-2032
Base Year 2023
Forecast Period 2024-2032
Growth Rate CAGR of 21.2% from 2024 to 2032
Historical Period 2019-2022
Unit Value (USD Billion)
Segmentation By Deployment, Type, Application, Enterprise Type, Industry, and Region
By Deployment Cloud
On- premise
By Type Disk- based
In- memory
By Application Fraud Detection and Security Management
Governance, Risk and Compliance Management
Customer Experience Management
Sales and Marketing Management
Business Process Management
Others (Supply Chain Management, Asset Management, and Workforce Management)
By Enterprise Type Large Enterprise
Small & Medium Enterprise (SME)
By Industry BFSI
IT and Telecom
Retail & E- Commerce
Healthcare and Life Sciences
Manufacturing
Government
Energy and Utilities
Media and Entertainment
Education
Others (Transportation and Logistics, Travel and Hospitality)
By Region North America (By Deployment, By Type, By Application, By Enterprise Type, By Industry, and By Country)
- U.S. (By Application)
- Canada (By Application)
- Mexico (By Application)
South America (By Deployment, By Type, By Application, By Enterprise Type, By Industry, and By Country)
- Brazil (By Application)
- Argentina (By Application)
- Rest of South America
Europe (By Deployment, By Type, By Application, By Enterprise Type, By Industry, and By Country)
- U.K. (By Application)
- Germany (By Application)
- France (By Application)
- Italy (By Application)
- Spain (By Application)
- Russia (By Application)
- Benelux (By Application)
- Nordics (By Application)
- Rest of Europe
Middle East & Africa (By Deployment, By Type, By Application, By Enterprise Type, By Industry, and By Country)
- Turkey (By Application)
- Israel (By Application)
- GCC (By Application)
- North Africa (By Application)
- South Africa (By Application)
- Rest of the Middle East & Africa
Asia Pacific (By Deployment, By Type, By Application, By Enterprise Type, By Industry, and By Country)
- China (By Application)
- Japan (By Application)
- India (By Application)
- South Korea (By Application)
- ASEAN (By Application)
- Oceanic (By Application)
- Rest of Asia Pacific
Please Note: It will take 5-6 business days to complete the report upon order confirmation.
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Methodology/Approach
- 1.3. Data Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Macro and Micro Economic Indicators
- 3.2. Drivers, Restraints, Opportunities and Trends
- 4. Competition Landscape
- 4.1. Business Strategies Adopted by Key Players
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Global Data Fabric Key Players Market Share/Ranking, 2023
- 5. Global Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 5.1. Key Findings
- 5.2. By Deployment (USD)
- 5.2.1. Cloud
- 5.2.2. On-premise
- 5.3. By Type (USD)
- 5.3.1. Disk-based Data Fabric
- 5.3.2. In-memory Data Fabric
- 5.4. By Application (USD)
- 5.4.1. Fraud Detection and Security Management
- 5.4.2. Governance, Risk and Compliance Management
- 5.4.3. Customer Experience Management
- 5.4.4. Sales and Marketing Management
- 5.4.5. Business Process Management
- 5.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 5.5. By Enterprise Type (USD)
- 5.5.1. Large Enterprises
- 5.5.2. Small & Medium Enterprises (SMEs)
- 5.6. By Industry (USD)
- 5.6.1. BFSI
- 5.6.2. IT and Telecom
- 5.6.3. Retail and E-Commerce
- 5.6.4. Healthcare and Life Sciences
- 5.6.5. Manufacturing
- 5.6.6. Government
- 5.6.7. Energy and Utilities
- 5.6.8. Media and Entertainment
- 5.6.9. Education
- 5.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 5.7. By Region (USD)
- 5.7.1. North America
- 5.7.2. South America
- 5.7.3. Europe
- 5.7.4. Middle East and Africa
- 5.7.5. Asia Pacific
- 6. North America Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 6.1. Key Findings
- 6.2. By Deployment (USD)
- 6.2.1. Cloud
- 6.2.2. On-premise
- 6.3. By Type (USD)
- 6.3.1. Disk-based Data Fabric
- 6.3.2. In-memory Data Fabric
- 6.4. By Application (USD)
- 6.4.1. Fraud Detection and Security Management
- 6.4.2. Governance, Risk and Compliance Management
- 6.4.3. Customer Experience Management
- 6.4.4. Sales and Marketing Management
- 6.4.5. Business Process Management
- 6.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 6.5. By Enterprise Type (USD)
- 6.5.1. Large Enterprises
- 6.5.2. Small & Medium Enterprises (SMEs)
- 6.6. By Industry (USD)
- 6.6.1. BFSI
- 6.6.2. IT and Telecom
- 6.6.3. Retail and E-Commerce
- 6.6.4. Healthcare and Life Sciences
- 6.6.5. Manufacturing
- 6.6.6. Government
- 6.6.7. Energy and Utilities
- 6.6.8. Media and Entertainment
- 6.6.9. Education
- 6.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 6.7. By Country (USD)
- 6.7.1. United States
- 6.7.1.1. Application
- 6.7.2. Canada
- 6.7.2.1. Application
- 6.7.3. Mexico
- 6.7.3.1. Application
- 7. South America Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 7.1. Key Findings
- 7.2. By Deployment (USD)
- 7.2.1. Cloud
- 7.2.2. On-premise
- 7.3. By Type (USD)
- 7.3.1. Disk-based Data Fabric
- 7.3.2. In-memory Data Fabric
- 7.4. By Application (USD)
- 7.4.1. Fraud Detection and Security Management
- 7.4.2. Governance, Risk and Compliance Management
- 7.4.3. Customer Experience Management
- 7.4.4. Sales and Marketing Management
- 7.4.5. Business Process Management
- 7.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 7.5. By Enterprise Type (USD)
- 7.5.1. Large Enterprises
- 7.5.2. Small & Medium Enterprises (SMEs)
- 7.6. By Industry (USD)
- 7.6.1. BFSI
- 7.6.2. IT and Telecom
- 7.6.3. Retail and E-Commerce
- 7.6.4. Healthcare and Life Sciences
- 7.6.5. Manufacturing
- 7.6.6. Government
- 7.6.7. Energy and Utilities
- 7.6.8. Media and Entertainment
- 7.6.9. Education
- 7.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 7.7. By Country (USD)
- 7.7.1. Brazil
- 7.7.1.1. Application
- 7.7.2. Argentina
- 7.7.2.1. Application
- 7.7.3. Rest of South America
- 8. Europe Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 8.1. Key Findings
- 8.2. By Deployment (USD)
- 8.2.1. Cloud
- 8.2.2. On-premise
- 8.3. By Type (USD)
- 8.3.1. Disk-based Data Fabric
- 8.3.2. In-memory Data Fabric
- 8.4. By Application (USD)
- 8.4.1. Fraud Detection and Security Management
- 8.4.2. Governance, Risk and Compliance Management
- 8.4.3. Customer Experience Management
- 8.4.4. Sales and Marketing Management
- 8.4.5. Business Process Management
- 8.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 8.5. By Enterprise Type (USD)
- 8.5.1. Large Enterprises
- 8.5.2. Small & Medium Enterprises (SMEs)
- 8.6. By Industry (USD)
- 8.6.1. BFSI
- 8.6.2. IT and Telecom
- 8.6.3. Retail and E-Commerce
- 8.6.4. Healthcare and Life Sciences
- 8.6.5. Manufacturing
- 8.6.6. Government
- 8.6.7. Energy and Utilities
- 8.6.8. Media and Entertainment
- 8.6.9. Education
- 8.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 8.7. By Country (USD)
- 8.7.1. United Kingdom
- 8.7.1.1. Application
- 8.7.2. Germany
- 8.7.2.1. Application
- 8.7.3. France
- 8.7.3.1. Application
- 8.7.4. Italy
- 8.7.4.1. Application
- 8.7.5. Spain
- 8.7.5.1. Application
- 8.7.6. Russia
- 8.7.6.1. Application
- 8.7.7. Benelux
- 8.7.7.1. Application
- 8.7.8. Nordics
- 8.7.8.1. Application
- 8.7.9. Rest of Europe
- 9. Middle East & Africa Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 9.1. Key Findings
- 9.2. By Deployment (USD)
- 9.2.1. Cloud
- 9.2.2. On-premise
- 9.3. By Type (USD)
- 9.3.1. Disk-based Data Fabric
- 9.3.2. In-memory Data Fabric
- 9.4. By Application (USD)
- 9.4.1. Fraud Detection and Security Management
- 9.4.2. Governance, Risk and Compliance Management
- 9.4.3. Customer Experience Management
- 9.4.4. Sales and Marketing Management
- 9.4.5. Business Process Management
- 9.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 9.5. By Enterprise Type (USD)
- 9.5.1. Large Enterprises
- 9.5.2. Small & Medium Enterprises (SMEs)
- 9.6. By Industry (USD)
- 9.6.1. BFSI
- 9.6.2. IT and Telecom
- 9.6.3. Retail and E-Commerce
- 9.6.4. Healthcare and Life Sciences
- 9.6.5. Manufacturing
- 9.6.6. Government
- 9.6.7. Energy and Utilities
- 9.6.8. Media and Entertainment
- 9.6.9. Education
- 9.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 9.7. By Country (USD)
- 9.7.1. Turkey
- 9.7.1.1. Application
- 9.7.2. Israel
- 9.7.2.1. Application
- 9.7.3. GCC
- 9.7.3.1. Application
- 9.7.4. South Africa
- 9.7.4.1. Application
- 9.7.5. North Africa
- 9.7.5.1. Application
- 9.7.6. Rest of Middle East & Africa
- 10. Asia Pacific Data Fabric Market Size Estimates and Forecasts, By Segments, 2019-2032
- 10.1. Key Findings
- 10.2. By Deployment (USD)
- 10.2.1. Cloud
- 10.2.2. On-premise
- 10.3. By Type (USD)
- 10.3.1. Disk-based Data Fabric
- 10.3.2. In-memory Data Fabric
- 10.4. By Application (USD)
- 10.4.1. Fraud Detection and Security Management
- 10.4.2. Governance, Risk and Compliance Management
- 10.4.3. Customer Experience Management
- 10.4.4. Sales and Marketing Management
- 10.4.5. Business Process Management
- 10.4.6. Others (Supply Chain Management, Asset Management, and Workforce Management)
- 10.5. By Enterprise Type (USD)
- 10.5.1. Large Enterprises
- 10.5.2. Small & Medium Enterprises (SMEs)
- 10.6. By Industry (USD)
- 10.6.1. BFSI
- 10.6.2. IT and Telecom
- 10.6.3. Retail and E-Commerce
- 10.6.4. Healthcare and Life Sciences
- 10.6.5. Manufacturing
- 10.6.6. Government
- 10.6.7. Energy and Utilities
- 10.6.8. Media and Entertainment
- 10.6.9. Education
- 10.6.10. Others (Transportation and Logistics, Travel and Hospitality, etc.)
- 10.7. By Country (USD)
- 10.7.1. China
- 10.7.1.1. Application
- 10.7.2. Japan
- 10.7.2.1. Application
- 10.7.3. India
- 10.7.3.1. Application
- 10.7.4. South Korea
- 10.7.4.1. Application
- 10.7.5. ASEAN
- 10.7.5.1. Application
- 10.7.6. Oceania
- 10.7.6.1. Application
- 10.7.7. Rest of Asia Pacific
- 11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
- 11.1. IBM Corporation
- 11.1.1. Overview
- 11.1.1.1. Key Management
- 11.1.1.2. Headquarters
- 11.1.1.3. Offerings/Business Segments
- 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.1.2.1. Employee Size
- 11.1.2.2. Past and Current Revenue
- 11.1.2.3. Geographical Share
- 11.1.2.4. Business Segment Share
- 11.1.2.5. Recent Developments
- 11.2. Oracle Corporation
- 11.2.1. Overview
- 11.2.1.1. Key Management
- 11.2.1.2. Headquarters
- 11.2.1.3. Offerings/Business Segments
- 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.2.2.1. Employee Size
- 11.2.2.2. Past and Current Revenue
- 11.2.2.3. Geographical Share
- 11.2.2.4. Business Segment Share
- 11.2.2.5. Recent Developments
- 11.3. Hewlett Packard Enterprise Company
- 11.3.1. Overview
- 11.3.1.1. Key Management
- 11.3.1.2. Headquarters
- 11.3.1.3. Offerings/Business Segments
- 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.3.2.1. Employee Size
- 11.3.2.2. Past and Current Revenue
- 11.3.2.3. Geographical Share
- 11.3.2.4. Business Segment Share
- 11.3.2.5. Recent Developments
- 11.4. SAP SE
- 11.4.1. Overview
- 11.4.1.1. Key Management
- 11.4.1.2. Headquarters
- 11.4.1.3. Offerings/Business Segments
- 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.4.2.1. Employee Size
- 11.4.2.2. Past and Current Revenue
- 11.4.2.3. Geographical Share
- 11.4.2.4. Business Segment Share
- 11.4.2.5. Recent Developments
- 11.5. NetApp, Inc.
- 11.5.1. Overview
- 11.5.1.1. Key Management
- 11.5.1.2. Headquarters
- 11.5.1.3. Offerings/Business Segments
- 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.5.2.1. Employee Size
- 11.5.2.2. Past and Current Revenue
- 11.5.2.3. Geographical Share
- 11.5.2.4. Business Segment Share
- 11.5.2.5. Recent Developments
- 11.6. TIBCO Software Inc.
- 11.6.1. Overview
- 11.6.1.1. Key Management
- 11.6.1.2. Headquarters
- 11.6.1.3. Offerings/Business Segments
- 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.6.2.1. Employee Size
- 11.6.2.2. Past and Current Revenue
- 11.6.2.3. Geographical Share
- 11.6.2.4. Business Segment Share
- 11.6.2.5. Recent Developments
- 11.7. Talend Inc.
- 11.7.1. Overview
- 11.7.1.1. Key Management
- 11.7.1.2. Headquarters
- 11.7.1.3. Offerings/Business Segments
- 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.7.2.1. Employee Size
- 11.7.2.2. Past and Current Revenue
- 11.7.2.3. Geographical Share
- 11.7.2.4. Business Segment Share
- 11.7.2.5. Recent Developments
- 11.8. Denodo Technologies Inc.
- 11.8.1. Overview
- 11.8.1.1. Key Management
- 11.8.1.2. Headquarters
- 11.8.1.3. Offerings/Business Segments
- 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.8.2.1. Employee Size
- 11.8.2.2. Past and Current Revenue
- 11.8.2.3. Geographical Share
- 11.8.2.4. Business Segment Share
- 11.8.2.5. Recent Developments
- 11.9. Cloudera, Inc.
- 11.9.1. Overview
- 11.9.1.1. Key Management
- 11.9.1.2. Headquarters
- 11.9.1.3. Offerings/Business Segments
- 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.9.2.1. Employee Size
- 11.9.2.2. Past and Current Revenue
- 11.9.2.3. Geographical Share
- 11.9.2.4. Business Segment Share
- 11.9.2.5. Recent Developments
- 11.10. CluedIn
- 11.10.1. Overview
- 11.10.1.1. Key Management
- 11.10.1.2. Headquarters
- 11.10.1.3. Offerings/Business Segments
- 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
- 11.10.2.1. Employee Size
- 11.10.2.2. Past and Current Revenue
- 11.10.2.3. Geographical Share
- 11.10.2.4. Business Segment Share
- 11.10.2.5. Recent Developments
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