“Increasing Adoption of Real-Time Data Integration and Intelligent Data Fabric Solutions”
- A significant trend in the worldwide data fabric market is the heightened focus on real-time data integration and analytical capabilities within hybrid and multi-cloud settings.
- Intelligent data fabrics, enhanced with AI and machine learning, are allowing organizations to automate processes related to data discovery, integration, and governance.
- For instance, In June 2024, IBM launched Cloud Pak for Data 5.0, introducing powerful features like Immersive Experience, Remote Data Planes, Data Product Hub, and Relationship Explorer to enhance data access, governance, and AI readiness. The update strengthened IBM’s Data Fabric architecture, which unifies data integration, governance, observability, lineage, and master data management into a single, composable platform. This allowed organizations to break data silos, improve data quality, comply with regulations, and scale AI and analytics with trusted data, ultimately boosting productivity, reducing costs, and accelerating insights across the enterprise.
- These innovations facilitate more agile decision-making, enhance customer experiences, and optimize data operations, thereby increasing the demand for advanced data fabric solutions.
Frequently Asked Questions
Asia-Pacific is the fastest growing region in the global data fabric market due to rapid digitization, increasing cloud adoption, and growing enterprise focus on real-time analytics and decision-making
Increasing Adoption of Real-Time Data Integration and Intelligent Data Fabric Solutions, is emerging as a pivotal trend driving the global data fabric market.
The major factors driving the growth of the data fabric market are rapid expansion of data volumes and complexity
The primary challenges include integration complexities and legacy infrastructure constraints
The cloud segment is expected to dominate the market in 2025 as it offers the efficiency, choice, and flexibility that enterprises need. Companies are scaling up their artificial intelligence and advanced analytics projects on the cloud, aiding them in making better data-driven decisions in progressively competitive markets.
