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Data Fabric Market to Reach $4.54 Bn, Globally, by 2026 at 23.8% CAGR, Says Allied Market Research


PORTLAND, Oregon, Dec. 9, 2019 /PRNewswire/ -- Allied Market Research published a report, titled, "Data Fabric Market by Deployment (On-premise and Cloud), Type (Disk-based Data Fabric and In-memory Data Fabric), Enterprise Size (Small and Medium Enterprises and Large Enterprises), and Industry Vertical (BFSI, Telecommunications & IT, Retail, Healthcare, Manufacturing, Government, Energy & Utilities, Media & Entertainment, and Others): Global Opportunity Analysis and Industry Forecast, 2019?2026." According to the report, the global data fabric industry was estimated at $812.6 million in 2018 and is expected to hit $4.54 billion by 2026, growing at a CAGR of 23.8% from 2019 to 2026.

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Drivers, restraints and opportunities-

Rise in volume & variety of business data, increase in need for business agility & data accessibility, and growing demand for real-time streaming analytics drive the growth of the global data fabric market. On the other hand, lack of awareness associated to data fabric impedes the growth to some extent. Nevertheless, significant data growth in developing regions is expected to create a number of opportunities for the key players in the industry.

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The on-premise segment to dominate by 2026-

Based on deployment, the on-premise segment contributed to nearly two-thirds of the global data fabric market share in 2018, and is expected to retain its dominance by 2026. High number of data centers boosts the growth of the segment. At the same time, the cloud segment would cite the fastest CAGR of 26.9% during 2019?2026. Rise in adoption of cloud deployments especially in developing countries fuels the growth of the segment.

The disk-based data fabric segment to lead the trail throughout the forecast period-

Based on type, the disk-based data fabric segment held the major share in 2018, generating three-fifths of the global data fabric market. Growing demand for data fabric solutions among data centers and storage enterprises owing to its ability to integrate and operate in unified environment is expected to drive the growth of the segment in the global market. The in-memory data fabric segment, on the other hand, would showcase the fastest CAGR of 26.1% throughout the estimated period. This is attributed to its ability to perform parallel computing.

North America to rule the roost in terms of revenue-

Based on geography, North America contributed to more than two-fifths of the global data fabric market revenue in 2018, and is anticipated to maintain the lion's share by 2016. North American countries are expected to adopt data fabric solutions at a high rate due to its compatible infrastructure. Simultaneously, the region across Asia-Pacific would register the fastest CAGR of 26.0% during the study period. This is due to due to the presence of high penetration connected devices in the region.

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Frontrunners in the industry-

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About Us

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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SOURCE Allied Market Research


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