Data Fabric market expected to generate global revenue of $11.54 billion by 2030

Data Fabric market to generate global revenue of $11.54 billion by 2030

According to an extensive study conducted by Verified Market Research, the global Data Fabric market is anticipated to reach $11.54 billion by 2030, expanding at a CAGR of 26.8% from 2023 to 2030. The global Data Fabric market was valued at $1.25 billion in 2022.

Overview of the global data fabric market

Data fabrics are a type of data service that offers resources across numerous endpoints. It unifies data insertion, file analysis, management, and service-level definition. The service provides comprehensive and standardized cloud data services for data access, security, insights, and visibility. These assets cover both a multi-cloud configuration and an on-premise cloud infrastructure.

An integrated, secure, flexible, and adaptive data architecture is the core of a data fabric. Across cloud, on-premises, and edge devices, it is an efficient architecture that harmonizes data management processes and requirements. Data visibility, insights, access, control, and data protection and security are just a few of the many benefits a data fabric may provide.

According to the report, the growing volume and variety of corporate data, as well as the ever-increasing demand for business accessibility and agility, are driving the growth of the data fabric market. The need for big data analytics tools is being fueled by increasing cloud computing and mobile data traffic and the growing development and use of technologies like artificial intelligence (AI) and the internet of things (IoT). The introduction of cloud-based technology, which enables tools and apps to access data using many interfaces that a company has set in place, is also driving the sector. The surge in demand for real-time streaming analytics could propel the market for data fabric.

Key Players

The major market players are Informatica Corporation, Global IDs, IBM Corporation, Denodo Technologies, NetApp, Oracle Corporation, SAP SE, Talend, and Software AG.


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