A data fabric has the purpose of delivering required performance, scalability, and ability to leverage the cloud, and eventually meet wide range of use cases and as a result, eliminate storage sprawl.
Major business applications that use data fabric are fraud detection and security management, governance, risk, and compliance management, customer experience management, sales and marketing management, and in business process management.
The adoption of data fabric in business process management would find increased adoption over the forecast period. Increasing need to solve business process-related issues in real time and the need to streamline operations across industries have led to the demand for data fabrics.
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. Based on Organization size, the market is segmented into Small & Medium Sized Enterprises and Large Enterprises.
Based on Type, the market is segmented into In-Memory Data Fabric and Disk-Based Data Fabric. The verticals covered under the report include BFSI, Manufacturing, Government & Defense, Energy & Utilities, Media & Entertainment, Telecom & IT, Healthcare and Life Sciences, Retail and Others.
Based on Country, Data Fabric market is segmented into US, Canada, Mexico and Rest of North America. US remained the dominant Country in the North America Data Fabric market in 2015. Canada would witness promising CAGR during the forecast period (2016-2022).
The report covers the analysis of key stake holders of the Data Fabric market.
Key companies profiled in the report include Omron Corporation, International Business Machines Corporation (IBM), SAP SE, Software AG, Talend, Inc., Splunk Inc., Hewlett Packard Enterprise (HPE) and Informatica.
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