Data Fabric Market Overview By Global Type, Component, Industry Analysis, Size, Share, Growth, Trends, Companies Profiles Teradata, VMware, Talend, Splunk, Software AG, SAP, Oracle, IBM, NetApp

“”Data Fabric””
The published report titled “Data Fabric” by Data Bridge Market Research added to its database and brings to light the comprehensive study and factual information of Global market.

Global Data Fabric Market, Component (software and services{managed and professional}), Type (Disk base data fabric, In-memory based data fabric), Application (Fraud Detection And Security Management, Governance, Risk, And Compliance Management, Customer Experience Management, Sales And Marketing Management, Business Process Management), Deployment Model (On-premises, On-demand), Organization size (Large Enterprises, Small-Sized Enterprises, Medium-Sized Enterprises), Vertical (Banking, Financial Services, And Insurance, Telecommunications And IT, Retail And Ecommerce, Healthcare And Life Sciences, Manufacturing, Government, Energy And Utilities, Media And Entertainment And Others), Geography (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2025

Global Data Fabric Market is expected to reach USD 3,122.84 Million by 2025 from USD 617.30 Million in 2017, at a CAGR of 25.1% in the forecast period 2018 to 2025.

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Some of the major players operating in this market are

  • Denodo Technologies,
  • Global IDs,
  • Informatica,
  • Syncsort,
  • K2VIEW,
  • NetApp Inc.,
  • IBM Corporation,
  • Oracle,
  • SAP SE,
  • Software AG,
  • Splunk Inc.,
  • Talend, VMware, Inc.
  • Teradata
  • Among others.

Scope of the Report:

The global data fabric market is segmented on of, component, type, deployment model, application and organization size, vertical and geography.

The global data fabric market is segmented based on component into two notable segments; software, services.

The global data fabric market is segmented based on type into two notable segments; disk-based data fabric and in-memory based data fabric.

The global data fabric market is segmented based on application into six notable segments; fraud detection and security management, governance, risk, and compliance management, customer experience management, sales and marketing management, business process management and others.

The global data fabric market is segmented based on deployment model into three notable segments; on-premises, on-demand and others.

The global data fabric market is segmented based on organization size into four notable segments; large enterprises, small-sized enterprises, medium-sized enterprises and others.

The global data fabric market is segmented based on vertical into nine notable segments; banking, financial services, and insurance, telecommunications and IT, retail and ecommerce, healthcare and life sciences, manufacturing, government, energy and utilities, media and entertainment and others.

The global data fabric market is highly fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market.

Based on geography, the global data fabric market is segmented into 5 geographical regions, North America, Europe, Asia-Pacific, South America and Middle East and Africa.

The geographical regions are further segmented into 24 major countries such as U.S. Canada, Mexico, Germany, France, U.K., Belgium, Switzerland, Belgium, Turkey, Japan, China, Singapore, Brazil, India, Russia, South Africa and many others.

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The major factors contributing to the growth of the market includes factors such as increasing volume and variety of business data. On the other hand, lack of integration with legacy systems may hinder the growth of the market.


Enterprises are seeking ways to manage increasing business data by taking advantage of technology trends with cloud, object storage, open source, converged infrastructures, virtualization, flash, containers, and software-defined storage. Platforms such as, hybrid cloud deployment models, big data fabric are the majorly used resources for enterprises. To overcome with the challenge of managing huge amount of data in enterprises; platform such as big data has been introduced. For instance, According to an article published in Simplilearn, it has been estimated in 2012, that about 58.0% of companies invested on big data.

Usually, most of the organizations adopt big data to reduce cost, making existing process more efficient. The generation of huge amount data has increased the risk for data breach which has resulted in increased the concern over enhancing security. Big data is widely applicable in various industries such as in banking and securities in order to manage the business data and catching illegal trading activity in the financial markets.

Similarly, big data is used in healthcare sector where it mostly focuses on managing huge amount of data. Huge demand has taken place to manage data due to increase volume and variety business data

Table of Contents:

1 Report Prologue

2 Market Introduction

2.1 Definition

2.2 Scope of the Study

2.2.1 Research Objective

2.2.2 Assumptions

2.2.3 Limitations 

3 Research Methodology

3.1 Introduction

3.2 Primary Research

3.3 Secondary research

3.4 Market Size Estimation

4 Market Dynamics

4.1 Drivers

4.2 Restrains

4.3 Opportunities

4.4 Challenges

4.5 Macroeconomic Indicators

4.6 Technology Trends & Assessment


TOC Continued…!

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