Global Data Fabric Market Forecast to 2028

The study on the global market for Data Fabric examines historical as well as current data and does a thorough analysis of market dynamics. The important market growth-boosting and limiting factors that are projected to affect market growth throughout the forecast period are also covered in the report. The Global Data Fabric Market carries out market scenario research in order to forecast industry growth for the years 2021 to 2028. The study focuses on prospective growth prospects and constraints that the industry's market leaders might face during the forecast period.

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 the 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 also expected to boost the 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 are expected to drive demand for in-memory data fabric in the near future.

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Competitive Terrain:

The global Data Fabric industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed in the 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

Research Report on the Data Fabric Market Addresses the Following Key Questions:

Who are the dominant players of the Data Fabric market?

Which regional market is anticipated to have a high growth rate over the projected period?

What consumer trends and demands are expected to influence the operations of the market players in the Data Fabric market?

What are the key growth drivers and restraining factors of the Data Fabric market?

What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?

What is the overall impact of the COVID-19 pandemic on the Data Fabric market and its key segments?

Market Overview:

The report bifurcates the Data Fabric market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.

Segments Covered in this report are:

Component Outlook (Revenue, USD Billion; 2018–2028)

Professional Services

Managed Services

Solution

Services

Type Outlook (Revenue, USD Billion; 2018–2028)

In-Memory data fabric

Disk-based data fabric

Deployment Outlook (Revenue, USD Billion; 2018–2028)

On-premises

On-cloud

Regional Landscape section of the Data Fabric report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.

The various regions analyzed in the report include:

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)

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Some Key Highlights from the 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.

North America market is expected to register considerably fast revenue CAGR than other regional markets due to robust presence of domestic and international companies offering data fabric solutions and services including Informatica, Inc., Global Ids, Inc., International Business Machines Corporation, NetApp, Inc., Oracle Corporation, and Splunk, Inc. among others in countries in the region.

The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Data Fabric market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.

Key Points of the Geographical Analysis:

Data and information related to the consumption rate in each region

Estimated increase in the consumption rate

Proposed growth of the market share of each region

Geographical contribution to market revenue

Expected growth rate of the regional markets

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