Data Fabric Market Size & Forecast Report - 2025 to 2030

The global data fabric market size was valued at over USD 1 billion in 2020 and expected to witness a significant CAGR of over 26% during the forecast period 2021 to 2027. The increasing amount of organizational data coupled with the growing demand for real-time analytics is a major factor to drive the market growth. Furthermore, the increasing adoption of cloud-based solutions and smart technologies by various enterprises to analyze their organizational data is further expected to boost market growth. Moreover, the increasing demand for agility and data accessibility in organizations is further expected to drive market growth over the forecast period.

Market Drivers:

Increasing Volume and Variety of Data: The exponential growth of data generated by organizations, including structured and unstructured data from various sources, is a significant driving factor for the data fabric market. Data fabric solutions provide a unified and scalable approach to manage and integrate diverse data types, enabling organizations to extract meaningful insights and make informed decisions.

Data Integration and Interoperability: With the proliferation of disparate data sources and systems, organizations face challenges in integrating and making sense of their data. Data fabric solutions provide a middleware layer that facilitates data integration, data harmonization, and interoperability across different platforms, applications, and data repositories. They enable seamless data sharing and collaboration, improving overall data quality and accessibility.

Hybrid and Multi-Cloud Environments: Organizations are increasingly adopting hybrid and multi-cloud architectures to leverage the benefits of public and private clouds. Data fabric solutions provide a consistent and unified view of data across these environments, ensuring data availability, consistency, and integrity. They enable organizations to seamlessly move and manage data across different cloud platforms and on-premises infrastructure.

Real-Time Data Access and Analytics: The need for real-time data access and analytics has become crucial in today’s fast-paced business environment. Data fabric solutions offer capabilities to ingest, process, and analyze data in real-time, enabling organizations to gain immediate insights, detect patterns, and make data-driven decisions faster.

Data Governance and Compliance: With the increasing focus on data governance and regulatory compliance, organizations require robust solutions to manage and secure their data effectively. Data fabric solutions provide centralized data governance frameworks, data lineage tracking, and security controls, ensuring data privacy, compliance with regulations, and protection against unauthorized access or breaches.

Data Virtualization and Data Abstraction: Data fabric solutions leverage data virtualization techniques to create a logical abstraction layer that enables users to access and query data from multiple sources without the need for physical data movement or duplication. This approach improves data agility, reduces data redundancy, and accelerates data access and analysis.

Advanced Analytics and AI/ML Integration: Data fabric solutions support advanced analytics and the integration of artificial intelligence (AI) and machine learning (ML) capabilities. By providing a unified data layer, organizations can leverage AI and ML algorithms to gain deeper insights, automate processes, and improve predictive capabilities across their data landscape.

Scalability and Flexibility: As organizations deal with ever-increasing data volumes, scalability and flexibility become critical factors. Data fabric solutions offer horizontal scalability, allowing organizations to expand their data infrastructure and accommodate growing data demands. They provide flexibility in managing various data types, formats, and sources, supporting evolving business requirements.

Business Continuity and Disaster Recovery: Data fabric solutions play a crucial role in ensuring business continuity and disaster recovery. By distributing data across multiple locations and maintaining replicas, organizations can achieve high availability, data resilience, and efficient disaster recovery mechanisms.

Digital Transformation Initiatives: The ongoing digital transformation initiatives across industries are driving the demand for data fabric solutions. Organizations are looking to harness the power of data to gain a competitive edge, improve customer experiences, optimize operations, and drive innovation. Data fabric solutions enable seamless data integration, accessibility, and analysis, supporting the overall digital transformation journey.

Market Snapshot:

Market Insights:

The global data fabric market is bifurcated into component, type, deployment mode, organization size, application, industry vertical, and geography. Based on the data fabric type, the market is further segmented into disk-based data fabric and in-memory data fabric. The disk-based data fabric segment is accounted to hold the largest revenue share of the market by the end of the analysis period. The segment growth is attributed to its functionality such as encryption, management, and regulated data. Moreover, the features provided by the product such as anytime data access for applications and flexibility for migration of data and applications are expected to drive the segment growth.

Based on the application, the market is segmented into fraud detection and security management, customer experience management, business process management, and others. The business process management segment is estimated to grow at the fastest growth rate by the end of the analysis period. The rising adoption of data fabric solutions by enterprises to manage business processes effectively is a major factor to drive the segment growth. Business process management helps the organization to manage business functions with the customer’s need and helps the organization to determine how best to deploy, measure, and monitor the resources.

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The data fabric comprehensive study analyzes industry trends, market size, competitive analysis, and market forecast – 2021 to 2027. Research Corridor report provides detailed premium insight into the global market and reveals the potential revenue streams, commercial prospects, market drivers, challenges, opportunities, issues, and events affecting the industry. In addition, the report has a dedicated section covering market forecasts and analysis for leading geographies, profiles of major companies operating in the market and expert opinion obtained from interviews with industry executives and experts from prominent companies.

The data fabric market research report presents the analysis of each segment from 2018 to 2027 considering 2020 as the base year for the research. The compounded annual growth rate (CAGR) for each respective segment is calculated for the forecast period from 2021 to 2027.

Historical & Forecast Period

• 2018-19 – Historical Year
• 2020 – Base Year
• 2021-2027 – Forecast Period

Global Data Fabric Market Segmentation:

By Component:

• Software
• Services
  • Managed Services
  • Professional Services

By Data Fabric Type:

• Disk-based Data Fabric
• In-Memory Data Fabric

By Deployment Mode:

• Cloud
• On-premises

By Organization Size:

• Large enterprises
• Small and medium-sized enterprises (SMEs)

By Applications:

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

By Industry Verticals:

• BFSI
• Telecommunications and IT
• Retail and E-Commerce
• Healthcare and Life Sciences
• Manufacturing
• Government
• Energy and Utilities
• Media and Entertainment
• Other

By Region:

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Data Fabric Market: Geographic Coverage

Geographically, North America dominated the global data fabric market in 2020 and expected to hold the largest revenue share of around one-third of the market by the end of the analysis period. The rising adoption of cloud computing and big data analytics by various organizations is a primary factor to drive the market growth in the region. Furthermore, the huge availability of data centers and the presence of some major market players are further expected to fuel the market growth in North America. On the other hand, the Asia Pacific is expected to register the fastest growth rate over the forecast period

Data Fabric Market: Competitive Assessment

Some of the major market players operating in the global data fabric market are SAP SE, Informatica, Inc., IBM Corporation, Global Ids, Inc., and Oracle Corporation. Companies are exploring markets by expansion, new investment, the introduction of new services, and collaboration as their preferred strategies. Players are exploring new geography through expansion and acquisition to gain a competitive advantage through joint synergy.

List of Key Companies:

• SAP SE
• Informatica, Inc.
• IBM Corporation
• Global Ids, Inc.
• Oracle Corporation
• NetApp, Inc.
• Teradata Corporation
• Splunk, Inc.
• TIBCO Software, Inc.
• Idera, Inc.

Key Questions Answered by Data Fabric Market Report

• Global data fabric market forecasts from 2021-2027
• Regional data fabric market forecasts from 2021-2027 covering Asia-Pacific, North America, Europe, Middle East & Africa, and Latin America
• Country-level forecasts from 2021-2027 covering 15 major countries from the regions as mentioned above
• Data fabric submarket forecasts from 2021-2027 covering the market by component, by data fabric type, by deployment mode, by organization size, by application, by industry verticals, and geography
• Various industry models such as SWOT analysis, Value Chain Analysis about data fabric market
• Analysis of the key factors driving and restraining the growth of the global, regional, and country-level data fabric markets from 2021-2027
• Competitive Landscape and market positioning of top 10 players operating in the data fabric market