Data fabric is a distributed data management platform that automatically brings together different data sets, both historical and real time, and processes them in an efficient way. Data fabric is an aggregation of multiple big data components, which deliver a comprehensive view of customer and business data across an organization. The data fabric virtually connects not only the back-end relational data stores that feed systems within an enterprise but also the distributed, high-performance, in-memory data caches that are embedded within systems such as web services.
Market Research Future has published a recent study report on global data fabric market and states that the market would expand keeping a higher pace of CAGR during the forecast period by 2023. It is considered as a fortunate for the semiconductor industry that is gaining substantial growth in current time with lots of innovation and researches being done by key companies. The study report also dwells with the market’s segmentation, regional analysis, and top news coverage, which has grossed the market to reach its optimum level.
Market Drivers & Trends
The global data fabric market is gaining traction in various applications such as processing and commutation techniques, hence stimulating the market growth remarkably. At present, the growing internet technology, the upswing in cloud-based organizations as well as increasing virtualization of network infrastructure is gaining heights in the information and communication industry. These motivated the data fabric market considerably over the years and provided a new phase for businesses as well.
Among the other factors, a significant advantage of data-fabric approach to data integration is the potential of creating data fabric with the help of top existing applications without making any changes in logic are also posing as a growth ladder for the market to expand during the assessment period.
The prominent players in the global data fabric market are listed as SAP SE (Germany), Informatica (U.S.), Splunk Inc. (U.S.), Denodo (U.S.), Syncsort Inc. (U.S.), IBM Corporation (U.S.), Oracle Corporation (U.S.), Global DS (U.S.), Teradata Corporation (U.S.), K2 View (U.S.) and many more.
Based on the region, the global data fabric market size has been studied under critical regions of North America, Europe, Asia Pacific, and Rest of the World (RoW).
Among these, the North America market leads the global data fabric market with covering a substantial growth in the areas of BFSI, military, and aerospace, retail, and e-commerce, healthcare, automotive, media, and entertainment.
The Europe market would attain a market value by 2022. Additionally, The Asia-Pacific market is going to face significant changes in the market with the factors of increasing technological and tremendous opportunities across industry verticals. The major countries that are showing substantial growth are India, China, and Japan and driving the growth of this market. Alibaba, China’s largest e-commerce and cloud services company and also outsourcing to cloud providers in the coming years.
The global data fabric market is segmented based on type, application, services, vertical, and region. On basis of type, the segment is further classified into disk-based and in-memory. The application segment is further classified into business process management, customer experience management, GRC (Governance, risk management, and compliance) management, fraud detection, and security management. The services segment is further classified into managed and professional services. The vertical segment is further classified into healthcare, BFSI, automotive, retail and e-commerce, media and entertainment, and energy and utilities, others.
June 18, 2019: Data authority for hybrid cloud announced new solutions and services that would allow customers to adopt and consume cloud services. In the same time, NetApp is delivering an authentic, seamless hybrid multicloud experience that includes the accessibility of NetApp Cloud Data Services on NetApp HCI. The ability to expand with determined storage across the major public clouds, and to manage, use, and pay for cloud services the way they want to is the main aim of the company.
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