Market Research Report

Global Data Fabric Market Research Report: Forecast (2025-2030)

By Type (Disk Based, In-Memory), By Organization Size (Large Enterprise, Small Sized Enterprise, Medium Sized Enterprise), By Deployment Model (On-Premise On- Demand), By Component...s (Software, Services), By Business Applications (Fraud Detection and Security Management, Governance, Risk, and Compliance Management, Customer Service Management, Sales and Marketing Management, Business Process Management), By Industry Verticals (Banking, Financial Services and Insurance, Telecommunication and IT, Retail and E-Commerce, Healthcare and Life Sciences, Manufacturing, Government, Energy and Utilities, Media and Entertainment) By Region (North America, Europe, Asia-Pacific, Middle East and Africa, South America), By Company (Denodo Technologies, Global IDS, IBM Corporation, Informatics, NetApp Inc, Oracle Corporation, SAP SE Software AG, Splunk, Inc., HP Enterprise Company, Others) Read more

  • ICT & Electronics
  • Jun 2025
  • Pages 198
  • Report Format: PDF, Excel, PPT

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Market Definition

A data fabric is a method of designing data architecture that aims to connect different data sources, whether they come from on-premises, hybrid, or cloud environments, using tools and technologies to provide businesses with a comprehensive, integrated picture of their data.

Market Insights & Analysis: Global Data Fabric Market (2025-30):

The Global Data Fabric Market size was valued at around USD 2.69 billion in 2024 and is expected to reach USD 8.22 billion by 2030. Along with this, the market is estimated to grow at a CAGR of around 20.46% during the forecast period, i.e., 2025-30.

Over the past few years, data generation has surged due to the increasing penetration of the internet and the revolution in the digital world. Companies are compelled to retain information and expertise from diverse distant sources. Therefore, providing quick access to the data over vast terrains creates several challenges for data management providers.

Report Coverage Details
Historical Years 2020–23
Forecast Years 2025–30
Market Value in 2024 USD 2.69 Billion
Market Value by 2030 USD 8.22 Billion
CAGR (2025–30) 20.46%
Leading Region North America
Top Key Players Denodo Technologies, Global IDS, IBM Corporation, Informatics, NetApp Inc, Oracle Corporation, SAP SE Software AG, Splunk, Inc., HP Enterprise Company, and Others
Segmentation By Type (Disk Based, In-Memory), By Organization Size (Large Enterprise, Small Sized Enterprise, Medium Sized Enterprise), By Deployment Model (On-Premise On- Demand), By Components (Software, Services), By Business Applications (Fraud Detection and Security Management, Governance, Risk, and Compliance Management, Customer Service Management, Sales and Marketing Management, Business Process Management), By Industry Verticals (Banking, Financial Services and Insurance, Telecommunication and IT, Retail and E-Commerce, Healthcare and Life Sciences, Manufacturing, Government, Energy and Utilities, Media and Entertainment) By Region (North America, Europe, Asia-Pacific, Middle East and Africa, South America), By Company (Denodo Technologies, Global IDS, IBM Corporation, Informatics, NetApp Inc, Oracle Corporation, SAP SE Software AG, Splunk, Inc., HP Enterprise Company, Others)
Key Report Highlights
  • Market Dimensions & Projections
  • Pricing Evaluation
  • Recent Strategic Moves by Companies
  • Primary Stakeholders
  • Import/Export Trend Analysis
  • Competitive Landscape Assessment
  • Emerging Opportunities
  • Market Trends and Indicators

 

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Given the difficulty of data management and data integration stemming from the dispersion and variety of their corporate data assets, businesses are more likely to embrace innovative methods to streamline their data in the future. As such, a million dollars have been invested globally in big data analytics from both public and private sources.

Further, the rapid rise in data volume and complexity brought on by growing cloud computing and mobile data traffic fuels the demand for big data analytics technology. Thus, the increasing digitalization across various industries, an expanding volume of business data, and mounting demand for real-time streaming analytics are projected to contribute to the market's growth in the coming years.

Moreover, the industry is already expanding with extensive use cases of data fabric in ML applications, security, and ensuring data governance. Also, the ongoing IoT, AI, and ML technology adoption, resulting in a large volume of data, is paving the way for market expansion in the coming years. Besides, the escalating need for data visibility, accessibility, management, and real-time data analytics will likely augment the market size in the forecast period.


Data Fabric Market statistics chart 2025 forecast

Global Data Fabric Market Driver:

 Ever-Increasing Need to Realize Machine-Enabled Data Integration Owing to Proliferating Business Data – Increased internet usage and the number of connected devices, including smartphones, laptops, tablets, and PCs, directly impact the volume and variety of corporate data. In addition, social media and blogs also generate massive amounts of data, while sensors and cameras continuously collect location information for surveillance. As such, data is gathered from the data fabric for analytics purposes, and businesses utilize these data due to the rising demand for sophisticated analysis.

Data fabric employs human and machine capabilities to access existing data or promote consolidation when necessary. It continuously recognizes and links data from many applications to find distinctive, commercially significant relationships among the data points available. Compared to conventional data management techniques, the insight promotes reengineered decision-making and offers additional value through quick access and comprehension.

For instance, a supply chain manager utilizing a data fabric can more quickly connect newly discovered data assets to links between known supplier delays and production delays. These aspects might positively influence data management and improve the decisions of consumers and suppliers.

Global Data Fabric Market Opportunity:

Augmenting Demand for High Organizational Agility – Data fabric is gaining popularity as a result of its holistic approach to data handling in a secure, effective, and future-proof manner. Thus, high organizational agility and data accessibility are made possible, rapidly opening up new avenues for companies. Big data solutions are being used by businesses to organize data and give easy access to it. The market demand for data accessibility will have shifted from the installation of big data solutions to fast data accessibility designs, including data fabric, owing to the functionality of big data platforms, which is propelling the revenue growth of the market.

Global Data Fabric Market Challenge:

Limited Integration with Existing Tools – The inability of Data Fabric to integrate with existing data management tools and platforms is projected to limit overall effectiveness and make it challenging for organizations to implement it and realize real commercial benefits. Moreover, implementing a data fabric might be demanding for organizations with limited IT and data skill sets to set up and administer since it requires high competence and appropriate resources. Also, organizations must possess a high level of data security competence to use a data fabric.

In addition, they must also ensure data protection against unauthorized access and other security lapses. Furthermore, the protection and control of the stored data are expected to suffer from the lack of visibility because the inability to control data stored in the cloud directly limits the visibility of such data, thereby restricting market expansion.

Global Data Fabric Market Trend:

Growing Appetite for Bringing Multi-Cloud Environments Together – Organizations using a hybrid or multi-cloud system may rely upon the platform, environment, and multi-cloud agnostic characteristics of data fabrics. Because, they work with practically all technological stack building blocks, moving data back and forth between platforms is simple and frictionless. As a result, businesses using multi-cloud platforms like AWS, Azure, and Google Cloud Platform (GCP) may easily and quickly design their architecture. Thus, with outstanding potential to integrate multi-cloud environments, they have gained traction in recent years.

Global Data Fabric Market (2025-30): Segmentation Analysis

The Global Data Fabric Market study of MarkNtel Advisors evaluates & highlights the major trends & influencing factors in each segment & includes predictions for the period 2025–2030 at the global level. Based on the analysis, the market has been further classified as:

Based on Business Application:

  • Fraud Detection and Security Management
  • Governance, Risk, and Compliance Management
  • Customer Service Management
  • Sales and Marketing Management
  • Business Process Management

Among all, Fraud Detection and Security Management acquired a significant market share in the historical period owing to the rising inflow and outflow of business data. Moreover, the increasing digitalization across industries such as banking and financial services, healthcare, education, retail, and e-commerce results in an extensive volume of data, which is highly confidential to an organization for analytics purposes. Backed by the escalating digitalization, the need for robust fraud detection and security management has arisen, thereby driving the segment’s growth in the forecast period.

Based on Industry Verticals:

  • Banking, Financial Services and Insurance (BFSI)
  • Telecommunication & IT
  • Retail and E-commerce
  • Healthcare & Life Sciences
  • Manufacturing
  • Government
  • Energy & Utilities
  • Media & Entertainment
  • Others

The Banking, Financial Services, And Insurance (BFSI) Sector captured the major market share owing to the surging e-banking services in the historical years. By using data fabric technologies for ongoing innovation and improvements, banks can use machine learning (ML) and artificial intelligence (AI) to create new business models and improve the customer experience.

In addition, this technology can be used by businesses to comply with open banking standards and regulations. Being a solution to open banking, data fabric makes it simpler for companies to manage, keep and access data securely and consistently. Furthermore, increasing focus on customer services, risk, and compliance management by the banking and financial sector would further augment the industry in the coming years.

Global Data Fabric Market (2025-30): Regional Projection

Geographically, the Global Data Fabric Market expands across:

  • North America
  • South America
  • Europe
  • Middle East and Africa
  • Asia-Pacific

North America has been the focal point of the Global Data Fabric market, with many businesses providing data management solutions in the USA, for the past few years. It owes principally to the increased collection of unstructured data and the prevalence of data centers in the region, allowing North America to be at the forefront of adopting state-of-the-art technologies. Moreover, the growth of medium and large enterprises and the proliferation of digital technologies in the United States and Canada have increased the demand for data fabrics. The region's strong presence of local and foreign solution providers has also stimulated market expansion. Additionally, the rising number of smart homes and innovative city projects in the area will further boost market growth across the region.

Global Data Fabric Industry Recent Development:

  • 2024: IBM acquired StreamSets (a leading real-time data integration company) to strengthen IBM's capabilities in next-generation data fabric solutions, enabling enterprises to address fragmented data stacks, streamline
  • 2024: SAP SE and Colliba extended their collaboration with native integrations to SAP Datasphere. This collaboration aims to provide trusted, governed data across enterprises, empowering users with reliable insights and supporting AI-driven decision-making in data-driven environments

Gain a Competitive Edge with Our Global Data Fabric Market Report

  • Global Data Fabric Market Report by MarkNtel Advisors provides a detailed & thorough analysis of market size & share, growth rate, competitive landscape, and key players. This comprehensive analysis helps businesses gain a holistic understanding of the market dynamics & make informed decisions.
  • This report also highlights current market trends & future projections, allowing businesses to identify emerging opportunities & potential challenges. By understanding market forecasts, companies can align their strategies & stay ahead of the competition.
  • Global Data Fabric Market Report aids in assessing & mitigating risks associated with entering or operating in the market. By understanding market dynamics, regulatory frameworks, and potential challenges, businesses can develop strategies to minimize risks & optimize their operations.

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Frequently Asked Questions

   A. The Data Fabric Market is expected to grow at a compound annual growth rate (CAGR) of 20.46% from 2025 to 2030.

   A. The Data Fabric Market size was valued at around USD 2.69 billion in 2024.

   A. Ever-increasing need to realize machine-enabled data integration, owing to proliferating business data, is expected to drive the global data fabric market.

   A. Denodo Technologies, Global IDS, IBM Corporation, Informatics, NetApp Inc, Oracle Corporation, SAP SE Software AG, Splunk, Inc., HP Enterprise Company, and Others, are the top players in the Global Data Fabric Market.

   A. Banking, Financial Services, And Insurance (BFSI) segment held the largest share of the Global Data Fabric Market.

   A. North America would present growth prospects in the Data Fabric Market during 2025-30.

   A. Growing appetite for bringing multi-cloud environments together is the key trend shaping the growth of the Global Data Fabric Market.

   A. Augmenting demand for high organizational agility are the growth opportunities driving the Data Fabric Market.

  1. Introduction
    1. Market Segmentation
    2. Product Definition
    3. Research Process
    4. Assumptions
  2. Executive Summary
  3. Global Data Fabric Market Overview
  4. Expert Verbatim- What our Experts Say?
  5. Global Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
        1. Disk Based
        2. In-Memory
      2. By Organization Type
        1. Large Enterprise
        2. Medium-Sized Enterprise
        3. Small- Sized Enterprise
      3. By Deployment Model
        1. On-Premise
        2.  On- Demand
      4. By Components
        1. Software
        2. Services
          1. Managed Services
          2. Professional Services
      5. By Business Application
        1. Fraud Detection and Security Management
        2. Governance, Risk, and Compliance Management
        3. Customer Service Management
        4. Sales and Marketing Management
        5. Business Process Management
        6. Others
      6. By Industry Verticals
        1. Banking, Financial Services and Insurance
        2. Telecommunication and IT
        3. Retail and E-Commerce
        4. Healthcare and Life Sciences
        5. Manufacturing
        6. Government
        7. Energy and Utilities
        8. Media and Entertainment
        9. Others
      7. By Region
        1. North America
        2. South America
        3. Asia-Pacific
        4. Europe
        5. Middle East & Africa
      8. By Company
        1. Market Shares, By Revenue
        2. Strategic Factorial Indexing
        3. Competitor Placement in MarkNtel Quadrant
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Region
  6. North America Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
        1. The US
        2. Canada
        3. Mexico
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
  7. South America Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
        1. Brazil
        2. Argentina
        3. Others
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
  8. Asia- Pacific Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
        1. China
        2. India
        3. Japan
        4. South Korea
        5. Australia
        6. Others
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
  9. Europe Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
        1. Germany
        2. The UK
        3. France
        4. Spain
        5. Italy
        6. Others
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
  10. Middle East & Africa Data Fabric Market Outlook, 2020-2030F
    1. Market Size & Analysis
      1. Revenues
    2. Market Share & Analysis
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
        1. UAE
        2. Saudi Arabia
        3. South Africa
        4. Others
    3. Market Attractiveness Index
      1. By Type
      2. By Organization Size
      3. By Deployment Model
      4. By Components
      5. By Business Applications
      6. By Industry Verticals
      7. By Country
  11. Global Data Fabric Market Policies, Regulations, Product Standards
  12. Key Strategies Adopted by Data Fabric Suppliers
  13. Global Data Fabric Market Trends & Insights
  14. Global Data Fabric Market Dynamics
    1. Growth Drivers
    2. Challenges
    3. Impact Analysis
  15. Global Data Fabric Market Hotspot & Opportunities
  16. Global Data Fabric Market Key Strategic Imperatives for Success & Growth
  17. Competition Outlook
    1. Competition Matrix
      1. Product Portfolio
      2. Target Markets
      3. Target End Users
      4. Research & Development
      5. Strategic Alliances
      6. Strategic Initiatives
    2. Company Profiles of top companies (Business Description, Product Segments, Business Segments, Financials, Strategic Alliances/ Partnerships, Future Plans)
      1. Denodo Technologies
      2. Global IDS
      3. IBM Corporation
      4. Informatics
      5. NetApp Inc
      6. Oracle Corporation
      7. SAP SE
      8. Software AG
      9. Splunk, Inc.
      10. HP Enterprise Company
      11. Others
  18.  Disclaimer


MarkNtel Advisors follows a robust and iterative research methodology designed to ensure maximum accuracy and minimize deviation in market estimates and forecasts. Our approach combines both bottom-up and top-down techniques to effectively segment and quantify various aspects of the market. A consistent feature across all our research reports is data triangulation, which examines the market from three distinct perspectives to validate findings. Key components of our research process include:

1. Scope & Research Design At the outset, MarkNtel Advisors define the research objectives and formulate pertinent questions. This phase involves determining the type of research—qualitative or quantitative—and designing a methodology that outlines data collection methods, target demographics, and analytical tools. They also establish timelines and budgets to ensure the research aligns with client goals.

2. Sample Selection and Data Collection In this stage, the firm identifies the target audience and determines the appropriate sample size to ensure representativeness. They employ various sampling methods, such as random or stratified sampling, based on the research objectives. Data collection is carried out using tools like surveys, interviews, and observations, ensuring the gathered data is reliable and relevant.

3. Data Analysis and Validation Once data is collected, MarkNtel Advisors undertake a rigorous analysis process. This includes cleaning the data to remove inconsistencies, employing statistical software for quantitative analysis, and thematic analysis for qualitative data. Validation steps are taken to ensure the accuracy and reliability of the findings, minimizing biases and errors.

Data Trangulation

4. Data Forecast and FinalizationThe final phase involves forecasting future market trends based on the analyzed data. MarkNtel Advisors utilize predictive modeling and time series analysis to anticipate market behaviors. The insights are then compiled into comprehensive reports, featuring visual aids like charts and graphs, and include strategic recommendations to inform client decision-making