Data Fabric Market 2028 | Emerging Technological Trends, Future Growth and Business Opportunities
The global data fabric market size reached USD 1.14 Billion in 2020 and is expected to register a revenue CAGR of 27.2%, during the forecast period, according to latest analysis by Emergen Research. Rising volumes and variation of organizational data and increasing adoption of cloud services are some key factors driving global data fabric market revenue growth. Rapid developments in in-memory computing are factors also expected to boost revenue growth of the market to a significant extent.
In-memory computing enables super-fast speed and the scaling of unlimited volumes of data, while also simplifying accessibility to an increasing number of data sources. As stored data is accessed considerably quickly while it is stored in Random-Access Memory (RAM) and flash memory, in-memory processing enables data to be evaluated in real-time, allowing for speedier business reporting and decision-making. Rapid developments in in-memory computing is expected to drive demand for in-memory data fabric in the near future.
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The global Data Fabric market is highly consolidated due to the presence of a large number of companies across this industry. These companies are known to make hefty investments in research and development projects. Also, they control a considerable portion of the overall market share, thus limiting the entry of new players into the sector. The global Data Fabric market report studies the prudent tactics undertaken by the leading market players, such as partnerships and collaborations, mergers & acquisitions, new product launches, and joint ventures.
Some major companies included in the global market report are
SAP SE, Informatica, Inc., Global Ids, Inc., International Business Machines Corporation, NetApp, Inc., Oracle Corporation, Splunk, Inc., Teradata Corporation, Idera, Inc., and TIBCO Software, Inc.
Chapter 1: Methodology & Scope
Definition and forecast parameters
Methodology and forecast parameters
Technological and innovation landscape
Key Highlights of Report
Service segment revenue is expected to expand at a significantly steady CAGR during the forecast period owing to rising need for integration, consultancy, support, and maintenance services to ease implementation and operation of data fabric solutions.
Small and medium-sized enterprise segment is expected to register a significantly robust revenue growth rate over the forecast period owing to increasing adoption of data fabric solutions and services among small and medium-sized enterprises globally.
On-cloud segment is expected to register a steady revenue growth rate. Rising adoption of cloud services among end-users is a key factor expected to continue to fuel revenue growth of this segment.
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Emergen Research has segmented the global data fabric market on the basis of component, type, deployment, organization size, application, end-use, and region:
Component Outlook (Revenue, USD Billion; 2018–2028)
Type Outlook (Revenue, USD Billion; 2018–2028)
In-Memory data fabric
Disk-based data fabric
Deployment Outlook (Revenue, USD Billion; 2018–2028)
Organization Size Outlook (Revenue, USD Billion; 2018–2028)
Small and Medium-sized Enterprises
Application Outlook (Revenue, USD Billion; 2018–2028)
Customer Experience Management
Fraud Detection and Security Management
Sales and Marketing Management
Risk and Compliance Management
Business Process Management
Supply Chain Management
End-Use Outlook (Revenue, USD Billion; 2018–2028)
IT & Telecom
Transportation & Logistics
Media & Entertainment
Retail & e-Commerce
Energy & Utilities
Travel & Hospitality
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Regional Bifurcation of the Data Fabric Market Includes:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
Questions addressed in the report:
What is the estimated market growth rate throughout the forecast period?
Which end-use industry is expected to witness the highest demand for Data Fabric in the near future?
What is the regulatory framework governing the application of Data Fabric in the food industry?
Which manufacturing processes are utilized for the production of Data Fabric?
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