Data Fabric Market Size, Share, Growth Report 2030

Global Data Fabric Market Overview

The global Data Fabric market accrued earnings worth approximately 1.2(USD Billion) in 2019 and is predicted to gain revenue of about 5.3(USD Billion) by 2026, is set to record a CAGR of nearly 28% over the period from 2020 to 2026. The report offers assessment and analysis of the Data Fabric market on a global and regional level. The study offers a comprehensive assessment of the market competition, constraints, revenue estimates, opportunities, evolving trends, and industry-validated data. The report provides historical data from 2017 to 2019 along with a forecast from 2020 to 2026 based on revenue (USD Billion).

Data Fabric Market: Synopsis

In simple language, data fabric is defined as an environment comprising of unified architecture, services, and technologies that assist the firms in effectively handling the information. Furthermore, data fabric helps in optimizing the data value along with accelerating data transformation digitally. It provides seamless integrated hybrid cloud solutions for data visualization along with offering security to the data. Moreover, data fabric links to any kind of data source through pre-packaged components & connectors, thereby annihilating the coding requirement. Apart from this, it offers functionalities such as data integration & data ingestion abilities for data source.

In addition to this, data fabric aids big data analytics and batch as well as real-time data processing. Apparently, it effectively handles multi-cloud, on-premises cloud, and hybrid cloud environments. Additionally, data fabric also provides in-built data quality, data governance abilities, and data preparation capabilities with the help of machine learning algorithms. It also aids data sharing with external & internal stake-owners through support of API interface.  

Request Free Sample

Data Fabric Market: Growth Factors

The expansion of data fabric industry over forecast timespan is due to its ability to offer single environment to the firms to access & gather all the data irrespective of its location and storage destination. In addition to this, data fabric facilitates unified data management activities such as data integration, data governance, and data sharing through elimination of multiple tools along with giving access to credible & authentic data. Furthermore, its ability of delivering scalability so that the firms can adapt to voluminous data will further proliferate the expansion of data fabric industry in the coming years.

Moreover, beneficial features offered by data fabric such as its ability to support on-premise cloud, multi-cloud, and hybrid cloud deployments as well as migration between different cloud environments will define the growth of data fabric industry over 2020-2026. The ability of data fabric in detecting fraudulent incidences as well as offloading data warehouses will offer new growth avenues for data fabric industry over the ensuing years.

North American Data Fabric Market To Witness Exponential Growth By 2026

The regional market expansion during forecast timespan can be credited to rise in the acceptance of data management tools in North America. In addition to this, large-scale private & government funding for developing more proficient data virtualization systems in Canada and the U.S. will expand the growth of data fabric industry over the upcoming years. Additionally, large-scale presence of reputed vendors in the sub-continent will further contribute towards the regional market size. Rapid acceptance of IoT driven techniques by many of the firms based in the U.S. will steer the business growth in North America over the years ahead.

Report Scope :

Key players profiled in the study include NetApp Inc., International Business Machines Corporation, Oracle Corporation, Splunk Corporation, Denodo Technologies, Hewlett Packard Enterprise, Teradata, Software AG, VMware, Inc., and Informatica Corporation.

The global Data Fabric Market is segmented as follows:

By Vertical

• Manufacturing
• BFSI
• Automotive

By Type

• Disk-Based
• In-Memory

By Service

• Professional
• Managed

By Region

• North America
  • The U.S.
  • Canada
• Europe
  • France
  • The UK
  • Spain
  • Germany
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific
• Latin America
  • Brazil
  • Mexico
  • Rest of Latin America
• Middle East & Africa
  • GCC
  • South Africa
  • Rest of Middle East & Africa