The Data Fabric market is projected to grow from US$ 2.09 billion in 2023 to US$ 10.59 billion by 2031; it is expected to expand at a CAGR of 22.5% from 2023 to 2031. Growing demand for real-time streaming analytics is expected to be a key trend in the market.
The data fabric offers data virtualization, allowing enterprises to implement seamless access to data while making it accessible to everyone. With the implementation of data fabric, business users can access data with minimal IT participation, resulting in a faster and easier environment for data access and exchange. A well-designed logical data fabric centralizes essential security and data management. Thus, the data fabric market is expected to grow during the forecast period.
Data Fabric is a comprehensive data integration and management system that includes architecture, data management and integration tools, and shared data to assist enterprises in managing their data. A data fabric delivers a single, consistent user experience and real-time data access to every member of an organization's global network. Data fabric is intended to assist enterprises in solving complex data problems and use cases by managing data across a variety of applications, platforms, and locations. Data fabric provides frictionless access and data sharing in a dispersed data environment.
Any data-centric organization requires a comprehensive approach that addresses time, space, various software types, and data locations. Data must be available to those who require it rather than being hidden behind firewalls or scattered across multiple places. Businesses require a safe, efficient, consistent, and future-proof data solution to improve their operational efficiency. Thus, the demand for data fabric is expected to grow during the forecast period.
ML algorithms may monitor data pipelines and suggest relevant linkages and integrations. These algorithms extract information from data as it is linked to the data structure, review all business data, and find relevant linkages and correlations. Providing data is one of the most time-consuming aspects of training an ML model. The Data Fabric design makes ML models more efficient by lowering data preparation time. It also improves the usability of prepared data in various applications and models. Companies distribute data on-premises, in the cloud, and in IoT. The data structure enables restricted access to safe data and enhances ML processes. Thus, the application of ML in data fabric is expected to fuel market growth during the forecast period.
The key segments that contributed to the derivation of the Data Fabric market analysis are coverage by deployment, component, solution, and end user.
Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South & Central America.
North American region held a prominent share of the data fabric market in 2023 and is expected to grow at a substantial CAGR during the forecast period. This growth may be attributed to the presence of numerous market platers and early adoption of technological adoption. Further, the Asia Pacific region is expected to grow at the fastest CAGR during the forecast period. This growth may be attributed to the increasing number of data centers and increasing digitization.
The regional trends and factors influencing the Data Fabric Market throughout the forecast period have been thoroughly explained by the analysts at Insight Partners. This section also discusses Data Fabric Market segments and geography across North America, Europe, Asia Pacific, Middle East and Africa, and South and Central America.
| Report Attribute | Details |
|---|---|
| Market size in 2023 | US$ 2.09 Billion |
| Market Size by 2031 | US$ 10.59 Billion |
| Global CAGR (2023 - 2031) | 22.5% |
| Historical Data | 2021-2022 |
| Forecast period | 2024-2031 |
| Segments Covered |
By Deployment
|
| Regions and Countries Covered | North America
|
| Market leaders and key company profiles |
The Data Fabric Market market is growing rapidly, driven by increasing end-user demand due to factors such as evolving consumer preferences, technological advancements, and greater awareness of the product's benefits. As demand rises, businesses are expanding their offerings, innovating to meet consumer needs, and capitalizing on emerging trends, which further fuels market growth.
Market players density refers to the distribution of firms or companies operating within a particular market or industry. It indicates how many competitors (market players) are present in a given market space relative to its size or total market value.
Major Companies operating in the Data Fabric Market are:
Disclaimer: The companies listed above are not ranked in any particular order.
The Data Fabric market is evaluated by gathering qualitative and quantitative data post primary and secondary research, which includes important corporate publications, association data, and databases. A few of the developments in the Data Fabric Market are listed below:
The Data Fabric market forecast is estimated based on various secondary and primary research findings, such as key company publications, association data, and databases. The market report "Data Fabric Market Size and Forecast (2021–2031)" provides a detailed analysis of the market covering below areas-
The global Data Fabric market was estimated to grow at a CAGR of 22.5% during 2023 - 2031.
Growing demand for real-time streaming analytics is the major trend in the market.
The report can be delivered in PDF/PPT format; we can also share an Excel dataset based on the request.
Denodo Technologies, IBM Corporation, Informatica Corporation, K2View, NetApp, Inc., Oracle Corporation, SAP SE, Software AG, Teradata, and Hewlett Packard Enterprise Development LP (HPE) are the major market players.
Some of the customization options available based on the request are additional 3–5 company profiles and a country-specific analysis of 3–5 countries of your choice. Customizations are to be requested/discussed before making final order confirmation, as our team would review the same and check the feasibility.
The increasing volume of data and the need for business accessibility are the major factors that drive the global Data Fabric market.