Data Virtualization Market: Reporting and Evaluation of Recent Industry DevelopmentsCommunication Technology ServicesUpdated on May 30, 2019 View more like this | Visit India, UN | Contact Sneha Sahu |

Data virtualization is a data integration technology. It incorporates data from different locations formats, and sources, without duplicating the data, to build a single "virtual" data layer that provides integrated data services to support numerous users and applications. Data virtualization may also be deliberated as a substitute to data warehousing and ETL (extract, transform, and load). Data virtualization technology is a crucial part of modern data architecture.
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This is primarily due to its adaptability and capacity to rapidly incorporate new data sources and deliver information in real-time to business clients. It is commonly used by organizations in order to enhance their IT infrastructure with competitive pricing, better performance, and a trusted environment. Presently, enterprises are creating high demand for data virtualization solution, as it has the capability to enhance business procedures and offer logical data warehousing and advanced data management capabilities.
The global data virtualization market is mainly driven by rising demand for cost-efficient data management solutions among enterprises in order to manage huge amount of data generated from organizations on a regular basis. Data virtualization solution enables enterprises to virtually integrate, access, and provide critical data to business intelligence and analytical tools. Additionally, increasing demand for data integration software tools is anticipated to boost the demand for data virtualization solutions around the globe.
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Furthermore, increase in adoption of cloud-based solutions by enterprises in order to enhance their business processes is also projected to fuel the demand for data virtualization solutions across the world. However, lack of standardization in enterprise data management is a crucial factor hampering the growth of the global data virtualization market. Furthermore, reluctance among enterprises to invest in advanced solutions is another key restraint. This is primarily because enterprises are still dependent on their traditional architecture and infrastructure.