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Discover the global data fabric detailed market forecasts to 2022 and analysis

Industrial Market Research

Global Data Fabric Detailed Market forecast to 2022

This report mainly introduces volume and value market share by players, by regions, by product type, by consumers and also their price change details. As a Detailed Analysis report, it covers all details inside analysis and opinion in Data Fabric industry.

This report splits Data Fabric market By Component, By Deployment Model, By Service, which covers the history data information from 2012 to 2016 and forecast from 2017 to 2022.

This report focuses Global market, it covers details as following:

Major Companies
Denodo Technologies (US)
Global IDS (US)
Informatica (US)
NetApp (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Syncsort (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)


A data fabric holds data management, data placement, performance optimization, and access management process together to automatically or in a self-service manner respond to user requests or applications for additional storage resources.

The process allows the movement of data seamlessly within data centers/ or a cloud setup without the need for changing user processes.

The smooth process of data management allows specific set of services guarantees which would allow servers to respond to data requests in a consistent fashion. The seamless data movement can also mean users and/or devices could write or read data from the fabric with the access protocol of choice.


Based on the component type, the Data Fabric market is segmented into Software and Services. The Services market is segmented into Professional and Managed Services.

Professional services are further segmented into Implementation, Consulting & Training and Support & Maintenance. The Applications highlighted in this report include Governance, Risk, & Compliance Management, Fraud Detection & Security Management, Sales & Marketing Management, Business Process Management and Customer Experience Management & Others.


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