Disk Based Data Fabric Market Scope

The global disk based data fabric market is expected to grow at a CAGR of approximately 25% during the forecast period. Deployment of disk based data fabric in healthcare and retail sectors can work in favor of the market. Accessibility to small and medium enterprises, rise of virtualization, and demand for agility in businesses can influence market demand significantly. Adoption of cloud services can positively impact the market growth.

The large volume of data and opportunities for management of structured and unstructured data can bode well for the disk based data fabric market. This can reduce the delivery time of data to reduce significantly. The utilization of AI for discovery of metadata and monitoring of governance controls for deployment of reusable data objects is a sign of the large scope for the market.

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The ability to detect cases of theft and fraud by pinpointing anomalies during the exchange of data can drive the demand for disk based data fabric. Data fabric helps in decision making, minimizes losses, customer retention, and detecting high-level threats. In addition, the web logs, click streams, and sensors can be used in providing insights into consumer behavior and expedite sales of products.

Disk Based Data Fabric Market Overview

Disk based data fabric is the combination of data virtualization, query forming, uniform accessibility, and transparency in distributed data management platforms. It assists in delivering hybrid cloud data services for insights, access & control, and protection & security. The global disk based data fabric market report by Market Research Future (MRFR) provides a comprehensive outlook on the industry and illuminates on niches and trends for the period of 2017 to 2023 (forecast period). The COVID-19 pandemic and its effects on the market are included in the report.

Disk Based Data Fabric Market Segmentation

The global disk based data fabric market is segmented into organization size, application, and vertical.

Based on the organization size, the market is segmented into SMEs and large enterprises.

Based on application, the market is segmented into customer experience management, GRC (governance, risk management, and compliance) management, business process management, fraud detection, and security management.

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Based on vertical, the market is segmented into BFSI, healthcare, manufacturing, IT & telecommunication, media & entertainment, energy & utilities and others. The healthcare segment is expected to hold the largest market share of the disk based data fabric market and is also expected to grow at the highest rate over the forecast period owing to the increasing demand for data fabric applications in the healthcare sector.

Disk Based Data Fabric Market Regional Analysis

The North America region holds the largest share of the market across the globe followed by Europe, and Asia Pacific (APAC). The U.S. and Canada are dominating the North America market due to rising technological enhancements and growing demand for real time streaming analytics in the region. Moreover, the region has a well-established infrastructure, which allows faster implementation of advanced technologies. Additionally, the growing demand for business agility and accessibility is another major factor driving the growth of the disk based data fabric market in the region.

The APAC data fabric market is predicted to be lucrative owing to a bevy of investments in South Korea, India, China, Australia, and Japan. Rise in digitalization, setup of data centers, and favorable IT policies by these nations can spur the market demand significantly.

Disk Based Data Fabric Market Competitive Landscape

Splunk, Software AG, Global IDs, NetApp Inc., Talend, SAP SE, Denodo Technologies, HP Enterprises, Informatica, Trifacta, VMware Inc., IBM Corporation, Teradata Corporation, Oracle Corporation, and Syncsort Inc. are prominent names of the global disk based fabric market.

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1 Executive Summary

2 Scope Of The Report

2.1 Market Definition

2.2 Scope Of The Study

2.2.1 Research Objectives

2.2.2 Assumptions & Limitations

2.3 Markets Structure

3 Market Research Methodology

3.1 Research Process

3.2 Secondary Research

3.3 Primary Research

3.4 Forecast Model

4 Market Landscape

4.1 Porter’s Five Forces Analysis

4.1.1 Threat Of New Entrants

4.1.2 Bargaining Power Of Buyers

4.1.3 Threat Of Substitutes

4.1.4 Segment Rivalry

4.2 Value Chain/Supply Chain Of Global Disk Based Data Fabric Market