According to our (Global Info Research) latest study, the global In-memory Data Fabric market size was valued at US$ 601 million in 2025 and is forecast to a readjusted size of US$ 2940 million by 2032 with a CAGR of 25.7% during review period.
Data fabric is an architecture that facilitates the end-to-end integration of various data pipelines and cloud environments through the use of intelligent and automated systems.
The data fabric market refers to the technology that enables seamless integration, management, and movement of data across various platforms, applications, and devices. It provides a unified view of data, making it easier for organizations to access and utilize their data assets. The data fabric market is growing rapidly, driven by various factors such as the increasing volume and variety of data, the need for real-time data insights, and the rise of cloud computing and hybrid IT environments. Companies are recognizing the importance of data as a strategic asset and are investing in data fabric solutions to derive valuable insights, enhance decision-making, and improve business outcomes. One of the key trends in the data fabric market is the adoption of Artificial Intelligence (AI) and Machine Learning (ML) technologies. By leveraging AI/ML algorithms, data fabric solutions can automate data integration, cleansing, and enrichment processes, enabling organizations to derive meaningful insights from large volumes of data in real-time. This trend is particularly prominent in industries such as healthcare, finance, and retail, where real-time analytics and personalized customer experiences are crucial. Another trend is the increasing adoption of cloud-based data fabric solutions. Cloud computing offers scalability, cost-effectiveness, and agility, making it an ideal platform for data fabric implementations. Cloud-based data fabric solutions can seamlessly connect on-premises and cloud-based data sources, enabling organizations to leverage the benefits of both environments. Privacy and security are also becoming major concerns in the data fabric market. With data being constantly moved and shared across various platforms and devices, organizations are focusing on ensuring data privacy and protection. Data fabric solutions that provide end-to-end encryption, access controls, and data governance capabilities are gaining traction in the market. In summary, the data fabric market is growing rapidly, driven by factors such as the increasing volume and variety of data, the need for real-time insights, and the rise of cloud computing. Adoption of AI/ML technologies, cloud-based solutions, and a focus on privacy and security are key trends in the market.
This report is a detailed and comprehensive analysis for global In-memory Data Fabric market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global In-memory Data Fabric market size and forecasts, in consumption value ($ Million), 2021-2032
Global In-memory Data Fabric market size and forecasts by region and country, in consumption value ($ Million), 2021-2032
Global In-memory Data Fabric market size and forecasts, by Type and by Application, in consumption value ($ Million), 2021-2032
Global In-memory Data Fabric market shares of main players, in revenue ($ Million), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for In-memory Data Fabric
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global In-memory Data Fabric market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Denodo Technologies (US), Global IDS (US), IBM (US), Informatica (US), Oracle Corp (US), SAP SE (Germany), Software AG (Germany), Splunk (US), Talend (US), VMware (US), etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
In-memory Data Fabric market is split by Type and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
On-Premises
Cloud
Market segment by Application
BFSI
Telecommunications and IT
Retail and ecommerce
Healthcare and life sciences
Manufacturing
Government
Energy and utilities
Media and entertainment
Others
Market segment by players, this report covers
Denodo Technologies (US)
Global IDS (US)
IBM (US)
Informatica (US)
Oracle Corp (US)
SAP SE (Germany)
Software AG (Germany)
Splunk (US)
Talend (US)
VMware (US)
Hewlett Packard Enterprise (US)
Teradata Corp (US)
K2View (Israel)
NetApp (US)
Tervela
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe In-memory Data Fabric product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of In-memory Data Fabric, with revenue, gross margin, and global market share of In-memory Data Fabric from 2021 to 2026.
Chapter 3, the In-memory Data Fabric competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2021 to 2032.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2021 to 2026.and In-memory Data Fabric market forecast, by regions, by Type and by Application, with consumption value, from 2027 to 2032.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of In-memory Data Fabric.
Chapter 13, to describe In-memory Data Fabric research findings and conclusion.
Summary:
Get latest Market Research Reports on In-memory Data Fabric. Industry analysis & Market Report on In-memory Data Fabric is a syndicated market report, published as Global In-memory Data Fabric Market 2026 by Company, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of In-memory Data Fabric market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.