PUBLISHER: SkyQuest | PRODUCT CODE: 1447919
PUBLISHER: SkyQuest | PRODUCT CODE: 1447919
Global Data Fabric Market size was valued at USD 1.90 billion in 2022 and is poised to grow from USD 2.32 billion in 2023 to USD 11.63 billion by 2031, growing at a CAGR of 22.3% in the forecast period (2024- 2031).
In recent years, the global data fabric market has seen shifts in consumer preferences and demands, with a growing focus on leveraging distributed data from various sources. This trend is fueled by the increasing adoption of hybrid and multi-cloud environments, which require efficient data management and integration solutions. Data fabric serves as a facilitator for seamless data access and utilization, driving demand for real-time analytics and insights. Furthermore, the market's growth is supported by the increasing volume of unstructured data and the need for effective data governance. Businesses are increasingly seeking comprehensive solutions for data integration, orchestration, and management across complex and heterogeneous environments to achieve agility and make data-driven decisions. As a result, the data fabric market is expected to continue growing.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Fabric Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Data Fabric Market Segmental Analysis
The global data fabric market is segmented on the basis of type, deployment model, application area, and region. By type, the market is segmented into integrated data fabric, ingestible data fabric, virtualized data fabric, and others. By components, it is bifurcated as on-premises, cloud-based, hybrid. By application, the market is segmented into fraud detection and security management, customer experience management, business process management, GRC (Governance, Risk, and Compliance) management, supply chain management, and others. By region, the market is segmented into North America, Europe, Asia-Pacific, Latin America, Middle East and Africa.
Drivers of the Global Data Fabric Market
The growing adoption of hybrid and multi-cloud environments by organizations is driving the need for advanced data management solutions. Data fabric has emerged as a crucial facilitator for seamless integration and accessibility in these environments. Businesses are investing in data fabric to enable real-time analytics and insights, ensuring efficient data orchestration. Additionally, the surge in unstructured data and the need for effective data governance further emphasize the importance of data fabric as an essential solution.
Restraints in the Global Data Fabric Market
One of the primary challenges in the data fabric market is the complexity of implementing solutions, especially in large enterprises with complex IT ecosystems. Integrating data fabric into existing infrastructure demands careful planning and execution, which can result in challenges such as deployment delays and resource allocation issues. Additionally, concerns regarding data security and privacy impede the seamless implementation of data fabric, particularly when handling sensitive information.
Market Trends of the Global Data Fabric Market
The rising adoption of edge computing is driving organizations to utilize data fabric solutions for efficient data management and processing at the edge. Another notable trend is the integration of artificial intelligence (AI) and machine learning (ML) capabilities within data fabric platforms, enabling businesses to derive actionable insights and improve decision-making. Additionally, there's a growing emphasis on integrating data fabric with data analytics tools, offering organizations a comprehensive approach to data utilization.