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Data Fabric Market Report Overview
The global data fabric market reached a value of USD 2.68 Billion in 2025 and is projected to expand at a CAGR of around 21.80% during the forecast period of 2026-2035. SAP folding Reltio master data management into Business Data Cloud, IBM closing its USD 11 billion Confluent purchase, AWS opening catalog federation across remote Iceberg tables, and enterprises racing to make siloed data AI-ready are accelerating the global data fabric market growth. The market is expected to reach USD 19.26 Billion by 2035.
Key Market Trends and Insights
- Asia Pacific is expected to record a CAGR of 23.4% over the forecast period, as banks and telecom operators across the region migrate core data estates to cloud.
- The in-memory data fabric category is expected to exhibit a CAGR of 22.9% over the forecast period, thanks to speed that disk-based architectures cannot match on live queries.
- Solutions are anticipated to register a CAGR of 22.1% during the forecast period, as buyers standardise on platforms carrying cataloguing, lineage and governance in one place.
Market Size and Forecast
- Market Size (2025): USD 2.68 Billion
- Projected Market Size (2035): USD 19.26 Billion
- Compound Annual Growth Rate (CAGR) (2026-2035): 21.80%
Compound Annual Growth Rate
21.8%
Value in USD Billion
2026-2035
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Key Trends and Recent Developments
Data fabric has stopped being an architecture debate and become an AI prerequisite. Agents fail when the data underneath is stale, fragmented or ungoverned, so the vendors have gone shopping. The biggest platform deals of the past year were about metadata and streaming, not compute.
SAP completed its acquisition of master data management provider Reltio in May 2026. Reltio becomes a core capability inside SAP Business Data Cloud, letting customers unify, cleanse and harmonise records across SAP and non-SAP sources for agentic AI.
IBM completed its USD 11 billion purchase of Confluent on 17 March 2026. The streaming platform serves over 6,500 enterprises, including 40% of the Fortune 500, and now feeds watsonx.data, IBM MQ and webMethods with real-time governed data.
At re:Invent in December 2025, AWS shipped catalog federation through the Glue Data Catalog. Teams can now query remote Apache Iceberg tables from Redshift, Athena, EMR and SageMaker without moving or copying data, with Lake Formation enforcing fine-grained access.
IBM expanded watsonx.data in May 2025, pairing an open lakehouse with data fabric lineage and governance across contracts, spreadsheets and presentations. Company testing showed AI results roughly 40% more accurate than conventional retrieval augmented generation.
In-memory Data Fabric - Dominant Type Through Query Speed
In-memory data fabric is the dominant global data fabric type, because holding working sets in memory beats disk on latency, and agentic workloads punish latency hard. Disk-based fabric still carries the archival tiers where cost per terabyte matters more.
Solution - Dominant Component Through Platform Consolidation
Solutions are the dominant global data fabric component, as buyers consolidate onto suites bundling cataloguing, lineage, quality and policy enforcement. IBM watsonx.data, SAP Business Data Cloud and the Denodo Platform follow this pattern. Services grow alongside on migration and stewardship demand.
Cloud - Dominant Deployment Through Hyperscaler Gravity
Cloud is the dominant global data fabric deployment. AWS, Oracle and SAP anchor their fabric offerings in cloud services, and the December 2025 Glue catalog federation launch lets teams query data in place. On-premise persists in regulated sectors.
North America - Dominant Region Through Vendor Concentration
North America is the dominant global data fabric region. Amazon Web Services, IBM, Oracle, Hewlett Packard Enterprise, NetApp, Cloudera and data.world are all headquartered here, and the cycle’s largest fabric deals, IBM buying Confluent among them, were struck in United States boardrooms.
Europe and Asia Pacific - Significant Regions Through Sovereignty and Scale
Europe is a significant global data fabric region, where SAP SE gives it platform depth and sovereignty rules keep hybrid demand alive. Asia Pacific grows fastest on cloud migration and BFSI modernisation. Latin America and the Middle East and Africa remain early stage.
Global Data Fabric Market Segmentation
The ‘Global Data Fabric Market Report and Forecast 2026-2035’ by Expert Market Research offers analysis across the following segments:
Market Breakup by Type
- Disk-based Data Fabric
- In-memory Data Fabric
Key Insight: In-memory data fabric dominates and grows fastest on query speed, while disk-based fabric holds cost-sensitive archival tiers.
Market Breakup by Component
- Solution
- Services
Key Insight: Solutions dominate as buyers consolidate onto platforms, while services grow fastest on migration and stewardship demand.
Market Breakup by Deployment
- On-premise
- Cloud
Key Insight: Cloud dominates and grows fastest, while on-premise persists in regulated sectors bound by data sovereignty rules.
Market Breakup by Enterprise Size
- Small and Medium Enterprise
- Large Enterprise
Key Insight: Large enterprises dominate on data estate complexity, while small and medium enterprises grow fastest through cloud pricing.
Market Breakup by Application
- Business Process Management
- Customer Experience Management
- Fraud Detection and Security Management
- Governance, Risk and Compliance Management
- Sales and Marketing Management
- Others
Key Insight: Governance, risk and compliance management dominates, while fraud detection and security management is the fastest growing application.
Market Breakup by End Use
- BFSI
- Healthcare
- Manufacturing
- Media and Entertainment
- Retail and Ecommerce
- Telecommunications and IT
- Transportation and Logistics
- Others
Key Insight: BFSI dominates on regulatory reporting load, while healthcare grows fastest as clinical and claims data converge.
Market Breakup by Region
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Key Insight: North America dominates on vendor concentration, while Asia Pacific grows fastest on cloud migration and banking modernisation.
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Global Data Fabric Market Share
By Type, in-memory data fabric dominates because agentic workloads cannot tolerate disk latency
In-memory data fabric holds the largest global data fabric market share by type. When an agent must resolve a query in milliseconds, keeping the working set in memory is the whole point. Disk-based fabric keeps the archival tiers, where cost per terabyte outranks response time.
By Component, solutions account for the dominant share as buyers consolidate onto integrated platforms
Solutions command the dominant global data fabric market share by component. Enterprises tired of stitching separate catalogue, lineage and policy tools together now buy suites: IBM watsonx.data, SAP Business Data Cloud and the Denodo Platform all sell that story. Services grow faster, since stewardship work stays bespoke.
By Deployment, cloud holds the dominant share while on-premise survives on sovereignty requirements
Cloud takes the dominant global data fabric market share by deployment. The December 2025 AWS launch of Glue Data Catalog federation shows why: teams query remote Iceberg tables from Redshift, Athena and SageMaker without copying anything. On-premise holds on in banking, healthcare and public sector estates.
By Enterprise Size, large enterprises hold the dominant share on sheer data estate complexity
Large enterprises take the dominant global data fabric market share by enterprise size, because a fabric only earns its keep once an organisation runs dozens of source systems across several clouds. Small and medium enterprises grow faster, reaching the technology through cloud consumption pricing.
By Application, governance, risk and compliance management holds the dominant share
Governance, risk and compliance management commands the dominant global data fabric market share by application, since regulated reporting forces a firm to prove where a number came from. Fraud detection and security management grows fastest. Business process, customer experience, and sales and marketing management follow.
By End Use, BFSI accounts for the dominant share under regulatory reporting load
BFSI takes the dominant global data fabric market share by end use, carrying the heaviest regulatory reporting burden of any vertical. Healthcare grows fastest as clinical and claims data converge. Manufacturing, telecommunications and IT, retail and ecommerce, media and entertainment, and transportation and logistics follow.
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Purchase the Regional Overview for USD 1099
If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.
Purchase the Regional Overview for USD 1099
If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.
Purchase the Regional Overview for USD 1099
If you choose to purchase the full report at a later stage, the amount already paid will be adjusted, and you will only need to pay the remaining balance.
Read more about this report - REQUEST FREE SAMPLE COPY IN PDF
Global Data Fabric Market Regional Analysis
North America is the dominant global data fabric market region.
Vendor concentration explains it. Amazon Web Services, IBM, Oracle, Hewlett Packard Enterprise, NetApp, Cloudera, Talend and data.world all run from here, and the cycle’s defining deals were signed in United States boardrooms. IBM closed its USD 11 billion Confluent acquisition in March 2026 and wired it straight into watsonx.data.
Asia Pacific is the fastest growing global data fabric region, lifted by cloud migration and banking modernisation. Europe is the largest secondary market: SAP SE in Walldorf gives it genuine platform depth, and sovereignty rules keep hybrid demand healthier here than anywhere else. Latin America and the Middle East and Africa expand from a smaller base.
Competitive Landscape
The global data fabric market is consolidating around a handful of platform vendors with the balance sheet to buy the missing pieces. Metadata, lineage and streaming have all changed hands recently, and the buyers already sold the surrounding stack.
Competition turns on governance depth, open format support and how cleanly a fabric feeds AI agents. Denodo and data.world still win on virtualisation and cataloguing, but the pull towards integrated suites keeps strengthening.
Amazon Web Services, Inc.
Founded in 2006 and headquartered in Seattle, United States, Amazon Web Services is the largest cloud infrastructure provider and a central data fabric player. At re:Invent in December 2025 it launched Glue Data Catalog federation to remote Apache Iceberg tables, alongside SageMaker Catalog governance.
Hewlett Packard Enterprise Development LP
Founded in 2015 and headquartered in Houston, United States, Hewlett Packard Enterprise builds hybrid cloud and edge-to-cloud data infrastructure. Its data fabric work unifies storage and analytics across on-premise and public cloud estates, which suits regulated buyers who cannot move everything to a hyperscaler.
IBM Corporation
Founded in 1911 and headquartered in Armonk, United States, IBM anchors its data fabric portfolio on watsonx.data and Cloud Pak for Data. It completed the USD 11 billion Confluent acquisition in March 2026, adding real-time streaming to a governance stack already built on StreamSets and DataStax.
Oracle Corporation
Founded in 1977 and headquartered in Austin, United States, Oracle brings database, autonomous data management and multicloud services to the market. Its Database@AWS arrangements let customers run Oracle Autonomous Database and Exadata inside other clouds, supporting the hybrid architectures fabric buyers keep asking for.
Other key players include SAP SE, Denodo Technologies, Inc., NetApp, Inc., Cloud Software Group, Inc. (TIBCO), Talend Group, Cloudera, Inc., and data.world, Inc., among others.
*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*
Key Findings from the Global Data Fabric Market Report
- Detailed analysis of the global data fabric market from 2019 to 2035, covering type, component, deployment, enterprise size, application, end use and regional dimensions
- Segment breakdowns across disk-based and in-memory fabric; solutions and services; on-premise and cloud; SME and large enterprise; six applications; eight end use verticals; and five global regions
- Competitive benchmarking of Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, IBM Corporation and Oracle Corporation across global data fabric market positioning
- Analysis of the SAP Reltio close (May 2026), the IBM Confluent close (March 2026), the AWS Glue catalog federation launch (December 2025), and the watsonx.data governance expansion (May 2025)
- Strategic insights for CIOs, data platform vendors and investors on AI-ready data, metadata governance, open table formats and integrated fabric suites
Why Choose Expert Market Research?
- Software vendors, enterprise CIOs and technology investors count on our intelligence for market sizing, product strategy and capital allocation.
- Every report is built by analysts who follow enterprise data architecture, cloud economics and AI adoption at close range.
- Whether you are sizing a component, a deployment model or a single vertical, the numbers you need are here.
- Coverage flexes to fit: a named application, vertical or region can be commissioned as customised research.
Call to Action
Our full report on the global data fabric market covers 2026 to 2035 in complete detail. It delivers segment level data, regional forecasts and competitive intelligence, with a clear read on how metadata and streaming deals are redrawing the vendor map. Use it to decide where to invest, which platform to standardise on, or how to time a product launch. Download your free sample now and see what the numbers reveal about data fabric growth.
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*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
Key Questions Answered in the Report
In 2025, the market reached an approximate value of USD 2.68 Billion.
The market is projected to grow at a CAGR of 21.80% between 2026 and 2035.
The market is estimated to witness a healthy growth in the forecast period of 2026-2035 to reach a value of around USD 19.26 Billion by 2035.
The market is being driven by the rapidly increasing data volume and the rising demand for improved data analysis among organisations.
The market is guided by the rising implementation of AI and ML algorithms to improve data analysis and the growing adoption of cloud-based data fabric owing to its cost benefits.
The major regional market includes North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The major applications of the product include business process management, customer experience management, fraud detection and security management, governance, risk and compliance management, and sales and marketing management, among others.
The key players in the market include Amazon Web Services, Inc., Hewlett Packard Enterprise Development LP, IBM Corporation Oracle Corporation, SAP SE, Denodo Technologies, Inc., NetApp, Inc., Cloud Software Group, Inc. (TIBCO), Talend Group, Cloudera, Inc., and data.world, Inc., among others.
Report Summary
Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.
| REPORT FEATURES | DETAILS |
| Base Year | 2025 |
| Historical Period | 2019-2025 |
| Forecast Period | 2026-2035 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
|
| Breakup by Type |
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| Breakup by Component |
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| Breakup by Deployment |
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| Breakup by Enterprise Size |
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| Breakup by Application |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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