Data Fabric

Data Fabric

Global Data Fabric Market to Reach US$7.6 Billion by 2030

The global market for Data Fabric estimated at US$1.9 Billion in the year 2023, is expected to reach US$7.6 Billion by 2030, growing at a CAGR of 21.5% over the analysis period 2023-2030. Data Fabric Software, one of the segments analyzed in the report, is expected to record a 19.3% CAGR and reach US$4.8 Billion by the end of the analysis period. Growth in the Data Fabric Services segment is estimated at 26.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$783.0 Million While China is Forecast to Grow at 27.2% CAGR

The Data Fabric market in the U.S. is estimated at US$783.0 Million in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$856.6 Million by the year 2030 trailing a CAGR of 27.2% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 18.1% and 19.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 19.8% CAGR.

Global Data Fabric Market - Key Trends & Drivers Summarized

Data fabric is an advanced data management architecture that provides a unified framework for integrating, managing, and governing data across various sources and platforms. This architecture leverages technologies such as artificial intelligence (AI), machine learning (ML), and metadata management to create a seamless data environment. By enabling real-time access and analysis of data, data fabric helps organizations overcome traditional data silos, allowing for more effective and efficient decision-making processes. It supports a wide range of data types and formats, ensuring that data from disparate sources can be integrated and utilized cohesively. This capability is crucial for businesses looking to harness the full potential of their data assets in today’s increasingly complex data landscape.

The implementation of data fabric has become particularly relevant in light of the exponential growth of data and the proliferation of cloud computing. Organizations are dealing with vast amounts of data generated from multiple sources, including IoT devices, social media, transactional systems, and more. Data fabric provides a scalable and flexible solution for managing this data influx, enabling seamless data integration across on-premises, cloud, and hybrid environments. Moreover, it enhances data governance and security by providing consistent policies and controls across all data touchpoints. This comprehensive approach not only improves data quality and accessibility but also ensures compliance with regulatory requirements, which is critical for industries such as finance, healthcare, and retail.

The growth in the data fabric market is driven by several factors, including the increasing adoption of cloud technologies, the need for real-time data analytics, and the rising importance of data governance and security. As businesses continue to migrate to cloud platforms, the demand for robust data integration and management solutions has surged. Data fabric addresses these needs by offering a cohesive strategy for integrating cloud and on-premises data. Furthermore, the growing emphasis on real-time analytics for gaining competitive insights has propelled the adoption of data fabric, as it enables faster and more accurate data processing. Additionally, stringent data privacy regulations and the need for comprehensive data governance frameworks have highlighted the importance of data fabric solutions in ensuring data integrity and compliance. As organizations increasingly recognize the strategic value of data, the adoption of data fabric is expected to expand, driving significant market growth.

Select Competitors (Total 73 Featured) -

• Cambridge Semantics
• Denodo Technologies Inc.
• Hewlett Packard Enterprise Development LP
• Hitachi, Ltd.
• IBM Corporation
• K2view LLC
• NetApp, Inc.
• Oracle Corporation
• Precisely
• SAP SE
• Splunk Inc.
• Talend Inc.
• Teradata Corporation
• VMware, Inc.

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