Report overview
Data fabric software is a unified data platform that enables organizations to integrate their data and data management processes. Adopting a data fabric allows for the creation of complete views of their data, helping power existing processes and applications and enabling the rapid development of new use cases. A data fabric is not just a single solution but an entire data ecosystem that connects disparate data sources and infrastructure types across locations (on-premises, in the cloud, or hybrid environments), enabling analysis without onerous data integration requirements. The software offers benefits such as the ability to explore and extract value from any form of data regardless of location by connecting stores of structured and unstructured data. It provides centralized access via a single, unified view of an organization's data that inherits access and governance restrictions.
This report aims to provide a comprehensive presentation of the global market for Data Fabric Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data Fabric Software. This report contains market size and forecasts of Data Fabric Software in global, including the following market information:
Global Data Fabric Software Market Revenue, 2018-2023, 2024-2030, ($ millions)
Global top five companies in 2022 (%)
The global Data Fabric Software market was valued at US$ million in 2022 and is projected to reach US$ million by 2029, at a CAGR of % during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Cloud Based Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Data Fabric Software include Cinchy, Denodo, IBM, data.world, NetApp, Teradata, Cambridge Semantics, Atlan and AtScale, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Data Fabric Software companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Data Fabric Software Market, by Type, 2018-2023, 2024-2030 ($ millions)
Global Data Fabric Software Market Segment Percentages, by Type, 2022 (%)
Cloud Based
On Premises
Global Data Fabric Software Market, by Application, 2018-2023, 2024-2030 ($ millions)
Global Data Fabric Software Market Segment Percentages, by Application, 2022 (%)
Large Enterprises
SMEs
Global Data Fabric Software Market, By Region and Country, 2018-2023, 2024-2030 ($ Millions)
Global Data Fabric Software Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Data Fabric Software revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Data Fabric Software revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Cinchy
Denodo
IBM
data.world
NetApp
Teradata
Cambridge Semantics
Atlan
AtScale
CluedIn
Dataddo
Delphix
Teksouth
Infinidat
Informatica
K2View
Hitachi Vantara
MarkLogic
CMA
NETGENIQ
StreamScape Technologies
Talend
Talon.One
Tengu
TIBCO
Trustgrid
DNV GL
Vexata
Zetaris Data Fabric
Outline of Major Chapters:
Chapter 1: Introduces the definition of Data Fabric Software, market overview.
Chapter 2: Global Data Fabric Software market size in revenue.
Chapter 3: Detailed analysis of Data Fabric Software company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Data Fabric Software in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
