Global Data Fabric Market 

The Global Data Fabric Market was valued at USD 526.8 million in 2016 and is projected to reach USD 4,479.8 million by 2025, growing at a CAGR of 26.85% from 2017 to 2025.

Data Fabric is an approach for data movement and management across cloud and on-premise. Data Fabric assembles data management, data placement, service level definition and file data analysis all together. Data Fabric solution benefits an organization by increasing g the execution speed, providing disaster recovery, improve customer experience, helps to move data from one cloud to another, gain the data control.

Sample Infographics:




Market Dynamics:
1. Market Drivers
1.1 Enhancements of In-memory computing
1.2 Rising adoption of cloud
1.3 Increase in the generation of return on investment
1.4 Continuously rising volume and variety of business data
1.5 Increasing need for business agility and accessibility
1.6 Rising demand for real-time streaming analytics
2. Market Restraints
2.1 Lack of technical expertise and workforce
2.2 Decreasing investment in new technology
2.3 Poor knowledge about data fabric
2.4 Issues in integration with legacy systems

Market Segmentation:
The Global Data Fabric Market is segmented on the business application, data fabric type, organization size, component, deployment model, vertical, and region.

1. Business Application:
1.1 Business process management
1.2 Fraud detection and security management
1.3 Governance, risk, and compliance management
1.4 Customer experience management
1.5 Sales and marketing management
1.6 Others

2. Data Fabric Type:
2.1 In-memory data fabric
2.2 Disk-based data fabric

3. Organization Size:
3.1 Large Enterprises
3.2 Small and Medium Organizations

4. By Component:
4.1 Software
4.2 Services
4.2.1 Managed services
4.2.2 Professional services
4.2.2.1 Support and maintenance services
4.2.2.2 Consulting services

5. By Deployment Mode:
5.1 On-cloud
5.2 On-premises

6. By Vertical:
6.1 Healthcare
6.2 Government
6.3 IT and Telecom
6.4 Banking, Financial Services, and Insurance (BFSI)
6.5 Energy and Utilities
6.6 Retail and e-commerce
6.7 Manufacturing
6.8 Others

7. By Region:
7.1 North America (U.S., Canada, Mexico)
7.2 Europe (Germany, UK, France, Rest of Europe)
7.3 Asia Pacific (China, India, Japan, Rest of Asia Pacific)
7.4 Latin America (Brazil, Argentina, Rest of Latin America)
7.5 Middle East & Africa

Competitive Landscape:
The major players in the market are as follows:
1. IBM Corporation
2. SAP SE
3. Denodo Technologies
4. Oracle Corporation
5. Informatica
6. NetApp, Inc.
7. Teradata Corporation
8. VMware, Inc.
9. K2View
10. Talend S.A.
11. Hewlett Packard Enterprise Company
12. Syncsort
13. Software AG
14. Splunk, Inc.
15. Global IDS

These major players have adopted various organic as well as inorganic growth strategies such as mergers & acquisitions, new product launches, expansions, agreements, joint ventures, partnerships, and others to strengthen their position in this market.

RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE:
Research study on the Global Data Fabric Market was performed in five phases which include Secondary research, Primary research, subject matter expert advice, quality check and final review.
The market data was analyzed and forecasted using market statistical and coherent models. Also market shares and key trends were taken into consideration while making the report. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis.

To know more about the Research Methodology of Verified Market Intelligence and other aspects of the research study, kindly get in touch with our sales team
INTRODUCTION OF GLOBAL DATA FABRIC MARKET
1.1 Overview of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET INTELLIGENCE
3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL DATA FABRIC MARKET OUTLOOK
4.1 Overview
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis
4.5 Regulatory Framework

5 GLOBAL DATA FABRIC MARKET BUSINESS APPLICATION
5.1 Business process management
5.2 Fraud detection and security management
5.3 Governance, risk, and compliance management
5.4 Customer experience management
5.5 Sales and marketing management
5.6 Others

6 GLOBAL DATA FABRIC MARKET DATA FABRIC TYPE
6.1 In-memory data fabric
6.2 Disk-based data fabric

7 GLOBAL DATA FABRIC MARKET ORGANIZATION SIZE
7.1 Large Enterprises
7.2 Small and Medium Organizations

8 GLOBAL DATA FABRIC MARKET BY COMPONENT
8.1 Software
8.2 Services
8.2.1 Managed services
8.2.2 Professional services
8.2.2.1 Support and maintenance services
8.2.2.2 Consulting services

9 GLOBAL DATA FABRIC MARKET BY DEPLOYMENT MODE
9.1 On-cloud
9.2 On-premises

10 GLOBAL DATA FABRIC MARKET BY VERTICAL
10.1 Healthcare
10.2 Government
10.3 IT and Telecom
10.4 Banking, Financial Services, and Insurance (BFSI)
10.5 Energy and Utilities
10.6 Retail and e-commerce
10.7 Manufacturing
10.8 Others

11 GLOBAL DATA FABRIC MARKET , BY GEOGRAPHY
11.1 Overview
11.2 North America Regional Market Estimates and Forecasts, 2012 - 2025
11.2.1 U.S.
11.2.2 Canada
11.2.3 Mexico
11.3 Europe Regional Market Estimates and Forecasts, 2012 - 2025
11.3.1 Germany
11.3.2 U.K.
11.3.3 France
11.3.4 Rest of Europe
11.4 Asia Pacific Regional Market Estimates and Forecasts, 2012 - 2025
11.4.1 China
11.4.2 Japan
11.4.3 India
11.4.4 Rest of Asia Pacific
11.5 Latin America Regional Market Estimates and Forecasts, 2012 - 2025
11.5.1 Brazil
11.5.2 Argentina
11.6 Rest of the World Regional Market Estimates and Forecasts, 2012 â€" 2025

12 GLOBAL DATA FABRIC MARKET COMPETITIVE LANDSCAPE
12.1 Overview
12.2 Company Market Share
12.3 Vendor Landscape
12.4 Key Development Strategies

13 COMPANY PROFILES
13.1 IBM Corporation
13.1.1 Overview
13.1.2 Financial Performance
13.1.3 Product Outlook
13.1.4 Key Developments

13.2 SAP SE
13.2.1 Overview
13.2.2 Financial Performance
13.2.3 Product Outlook
13.2.4 Key Developments

13.3 Denodo Technologies
13.3.1 Overview
13.3.2 Financial Performance
13.3.3 Product Outlook
13.3.4 Key Developments

13.4 Oracle Corporation
13.4.1 Overview
13.4.2 Financial Performance
13.4.3 Product Outlook
13.4.4 Key Developments

13.5 Informatica
13.5.1 Overview
13.5.2 Financial Performance
13.5.3 Product Outlook
13.5.4 Key Developments

13.6 NetApp, Inc.
13.6.1 Overview
13.6.2 Financial Performance
13.6.3 Product Outlook
13.6.4 Key Developments

13.7 Teradata Corporation
13.7.1 Overview
13.7.2 Financial Performance
13.7.3 Product Outlook
13.7.4 Key Developments

13.8 VMware, Inc.
13.8.1 Overview
13.8.2 Financial Performance
13.8.3 Product Outlook
13.8.4 Key Developments

13.9 K2View
13.9.1 Overview
13.9.2 Financial Performance
13.9.3 Product Outlook
13.9.4 Key Developments

13.10 Talend S.A.
13.10.1 Overview
13.10.2 Financial Performance
13.10.3 Product Outlook
13.10.4 Key Developments

13.11 Hewlett Packard Enterprise Company
13.11.1 Overview
13.11.2 Financial Performance
13.11.3 Product Outlook
13.11.4 Key Developments

13.12 Syncsort
13.12.1 Overview
13.12.2 Financial Performance
13.12.3 Product Outlook
13.12.4 Key Developments

13.13 Software AG
13.13.1 Overview
13.13.2 Financial Performance
13.13.3 Product Outlook
13.13.4 Key Developments

13.14 Splunk, Inc.
13.14.1 Overview
13.14.2 Financial Performance
13.14.3 Product Outlook
13.14.4 Key Developments

13.15 Global IDS
13.15.1 Overview
13.15.2 Financial Performance
13.15.3 Product Outlook
13.15.4 Key Developments

14 Appendix
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