Allied Market Research published, “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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A rise in volume & variety of business data, an increase in the 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, the lack of awareness associated with 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.
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. A high number of data centers boost the growth of the segment. At the same time, the cloud segment would cite the fastest CAGR of 26.9% during 2019–2026. The rise in the adoption of cloud deployments especially in developing countries fuels the growth of the segment.
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 a 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.