The global data landscape is entering a transformational phase as enterprises accelerate digitalization, scale AI systems, and integrate multi-cloud and edge environments. Traditional data architectures are no longer equipped to handle the scale, velocity, and diversity of modern datasets, creating an urgent need for unified and intelligent data management frameworks. This shift is driving the rapid adoption of data fabric solutions, which simplify data integration, improve governance, and enable real-time insights across highly distributed environments.
According to the latest analysis from Coherent Market Insights, the Data Fabric Market, valued at USD 3.55 billion in 2025, is projected to reach USD 17.02 billion by 2032, exhibiting a strong CAGR of 25.1%. This growth reflects the rising importance of AI-driven automation, metadata intelligence, and secure data connectivity across hybrid enterprise ecosystems.
Below is a detailed breakdown of major demand drivers, revenue forecast, and key segments shaping investment in the data fabric market through 2032.
The Rise of Data Fabric: Why Enterprises Are Adopting It
A data fabric provides an integrated architecture that connects data across on-premises systems, cloud platforms, and edge environments, ensuring it remains accessible, governable, and usable in real time. As hybrid and multi-cloud strategies expand, many organizations now manage data across distributed locations and tools, creating silos and inconsistencies.
Data fabric helps resolve these challenges through automated data discovery, metadata-driven integration, semantic enrichment, and AI-enabled governance. It keeps data secure, traceable, and ready for analytics and operational use.
With growing AI and machine-learning adoption, enterprises increasingly rely on flexible data pipelines and high data quality, further driving demand for data fabric. Major data-platform providers such as IBM and Informatica continue to advance these capabilities, supporting adoption across sectors including finance, healthcare, retail, and manufacturing.
(Source: IBM)
(Source: FREEPIK)
Key Demand Drivers Across Industries
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Banking, Financial Services & Insurance (BFSI)
The BFSI sector faces tremendous pressure to modernize legacy systems while ensuring real-time fraud detection, personalized banking, risk modeling, and regulatory reporting. Data fabric enables banks to unify siloed customer data, support AI-driven credit decisions, and comply with data privacy regulations by improving lineage and governance across sources. As digital banking grows, data fabric acts as the backbone for high-speed transactions, fraud analytics, and enhanced customer experience.
In September 2024, a banking-services company Backbase launched an “Intelligence Fabric” aimed at enabling banks to build advanced AI-driven services — including real-time customer insights, risk scoring, and financial analytics — by integrating data across multiple banking systems.
(Source: Backbase)
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Retail & E-Commerce
Retailers are increasingly dependent on real-time supply chain visibility, customer analytics, and omnichannel personalization. Data fabric harmonizes product, customer, and logistics data across stores, warehouses, and digital platforms. This supports dynamic pricing, demand forecasting, hyper-personalized marketing, and improved inventory allocation—especially in fast-paced e-commerce environments.
Woolworths partnered with Tata Consultancy Services (TCS) and Google Cloud to build a common data platform — migrating sales, supply chain, finance, and store data onto a unified, scalable cloud environment.
(Source: Tata Consultancy Services)
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Manufacturing & Industry 4.0
Smart manufacturing relies on machine data, IoT sensors, robotics, maintenance logs, and ERP systems. A data fabric enables predictive maintenance, digital twins, and real-time production optimization by integrating operational technology (OT) with IT systems. As factories adopt autonomous operations and AI-enabled quality management, a data fabric becomes essential for ensuring accuracy and reliability.
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Telecommunications & Media
Telecom operators must manage network logs, customer usage data, 5G network intelligence, and real-time billing systems. Data fabric supports network automation, churn prediction, service assurance, and next-generation content distribution by enabling unified, high-velocity data movement across systems.
For deeper insights into how data fabric and next-generation architectures are reshaping enterprise intelligence, you can explore our full market research and related industry reports here.
Technology Trends Accelerating the Market Growth
Several emerging technology shifts are accelerating the data fabric market growth and positioning it as a core element of modern enterprise architecture. AI-driven automation is one of the most significant developments, enabling organizations to streamline data mapping, integration, and governance. A 2023 industry analysis highlighted how active metadata and machine learning are now used within data fabrics to automate integration workflows and reduce manual effort.
At the same time, metadata intelligence is reshaping enterprise data management practices. According to an article published on TDWI in December 2024, advanced data fabrics are incorporating “active metadata” capabilities to support automated classification, semantic search, and robust lineage tracking, enabling enterprises to understand and govern their data with greater precision.
Another key development is the rise of self-service data access, which is empowering business users to explore and analyze data without relying heavily on IT teams. For instance, in August 2025, YAMASHITA Ltd. adopted a data-fabric platform using Microsoft Fabric and OneLake. This deployment democratized data access across departments, allowing non-technical employees to run analyses and generate insights more independently.
Together, these advancements demonstrate how data fabric is evolving from a niche tool into a foundational enabler of scalable, intelligent, and democratized data ecosystems.
(Sources: Top of Form TDWI (Transforming Data with Intelligence), HPC Wire, and Microsoft)
Future Outlook: What to Expect by 2032
As organizations continue to scale AI adoption, expand their cloud footprints, and modernize data infrastructures, data fabric will evolve from an optional enhancement to an enterprise necessity. The convergence of automation, real-time analytics, and decentralized data environments will further push enterprises toward intelligent data fabrics capable of self-healing, autonomous optimization, and dynamic policy enforcement.
By 2032, data fabric is expected to become the default architecture for large enterprises, enabling faster decision-making, improved data reliability, and seamless integration across increasingly complex digital ecosystems.
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