Data Fabric Market Outlook 2030: Leading Companies & Share Insights

Data Fabric Market Size & Insights

According to MarkNtel Advisors study The future of 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.

What are the Key Driver in the Data Fabric Market?

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.

What are the Key Segments in the Data Fabric Market?

The Data Fabric is categorized into notable segments, which help in understanding the structure, dynamics, and opportunities within the market. These segments are typically based on:

By Type
- Disk Based
- In-Memory
By Organization Type
- Large Enterprise
- Medium-Sized Enterprise
- Small- Sized Enterprise
By Deployment Model
- On-Premise
- On- Demand
By Components
- Software
- Services
  - Managed Services
  - Professional Services
By Business Application
- Fraud Detection and Security Management
- Governance, Risk, and Compliance Management
- Customer Service Management
- Sales and Marketing Management
- Business Process Management
- Others

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.

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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
- Others

How does geographical analysis highlight in the Data Fabric market?

By Region
- North America
- South America
- Asia-Pacific
- Europe
- Middle East & Africa

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.

Who are the Key Players in Data Fabric Market?

Denodo Technologies
Global IDS
IBM Corporation
Informatics
NetApp Inc
Oracle Corporation
SAP SE
Software AG
Splunk, Inc.
HP Enterprise Company
Others

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Data Fabric Market News

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

Key pillars of the research methodology include:

Scope & Research Design – Clearly defined objectives with tailored qualitative and quantitative methods, backed by precise timelines and budgets.
Sample Selection & Data Collection – Representative samples achieved through proven techniques like random and stratified sampling, supported by reliable tools such as surveys, interviews, and observations.
Data Analysis & Validation – Rigorous cleaning, advanced statistical modeling, and thematic analysis ensure accuracy, reliability, and minimal bias.
Forecasting & Finalization – Predictive modeling and time-series analysis anticipate future market behaviors, presented through insightful reports with charts, graphs, and strategic recommendations.

“Our methodology reflects the trust businesses place in us. By combining innovation with precision, we deliver not just numbers, but clarity and direction for decision-makers worldwide,” said a spokesperson for MarkNtel Advisors.

Why This MarkNtel Advisors Research Report:

In-depth Market Analysis: Understand trends and dynamics shaping growth.
Segmented Insights: Target specific segments for focused strategies.
Geographical Performance: Assess market opportunities by geographic area.
Emerging Technologies: Discover advancements like AI integration.
Risk Identification: Pinpoint challenges to inform strategic planning.
Future Forecasts: Prepare for market changes with actionable projections.

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