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Data Fabric Market Size to Reach USD 7.72 Billion in 2028 | Rising Adoption of Cloud Services and Increasing Need for Real-Time Streaming Analytics are Some Key Factors Driving Industry Demand, According to Emergen ResearchVancouver, BC, Jan. 25, 2022 /PRNewswire/ -- The global data fabric market size reached USD 1.14 Billion in 2020 and is expected to register a steady revenue CAGR during the forecast period, according to latest analysis by Emergen Research. Increasing need for reducing data inconsistency and improving data quality is one of the major factors expected to continue to drive market revenue growth.  Drivers: Rising need for real-time streaming analytics is another key factor expected to continue to drive market revenue growth. Big data analytics has been a prominent research topic amongst professionals and academics in recent years. Globally, private and government investments in the adoption of big data analytics have been increasing significantly. Rapid increase in data complexity and volume as a result of expanding cellular data and cloud-computing usage and increased use of technologies including Artificial Intelligence (AI) and Internet Of Things (IoT) are driving demand for real-time streaming analytics, which in turn is expected to propel revenue growth of the market. Get Free Sample PDF Copy of the Report@ https://www.emergenresearch.com/request-sample/908 Restraints: Lack of awareness regarding data fabric and shortage of skilled professionals are major factors hampering revenue growth of the market. Additionally, integration issues with legacy systems, and unwillingness to invest in newer technologies are some key factors expected to restrain market revenue growth over the forecast period. Growth Projections: Global data fabric market is expected to register a CAGR of 27.2% over the forecast period and revenue is projected to increase from USD 1.14 Billion in 2020 to USD 7.72 Billion in 2028. Rising adoption of cloud services is boosting market revenue growth. COVID-19 Impact Analysis: The COVID-19 outbreak compelled enterprises to seek innovative solutions for rapid recovery while also focusing on the important requirement to access adequate data in times of disaster. Additionally, financial institutions have shifted to remote service and marketing employees and introduced digital outreach to clients in order to offer customizable financing options for loans and mortgages. Majority of universities have implemented online educational and virtual classrooms. Such approaches are resulting in increase in the number and diversity of corporate data, which has been boosting market revenue growth during the pandemic, and is expected to fuel revenue growth of the market in the near future. Current Trends and Innovations: The trend in the market is focus on reducing data inconsistency and improving data quality, which will supporting market growth. Data fabric solutions enable self-service data consumption while also incorporating controls and automating the data integration process. Companies are customizing data for better insights, as this also aids in reduction of data inconsistency and improvement of data quality. Looking for Discount on Data Fabric market report [Click Here]@ https://www.emergenresearch.com/request-discount/908 Geographical Outlook: Europe data fabric market is expected to register a significantly steady revenue CAGR over the forecast period. Europe market revenue growth is expected to be driven by rapid adoption of data management systems and cloud solutions across end-users in countries in the region. Strategic Initiatives: Some major companies included in the market report are SAP SE, Informatica, Inc., Globl Ids, Inc., International Business Machines Corporation, NetApp, Inc., Oracle Corporation, Splunk, Inc., Teradata Corporation, Idera, Inc., and TIBCO Software, Inc.
Explore Complete Report Description and Table of Contents of Data Fabric Market Report@ https://www.emergenresearch.com/industry-report/data-fabric-market Emergen Research has segmented global data fabric on the basis of component, type, deployment, organization size, application, end-use, and region:
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