The Global Data Virtualization Market size is estimated to reach USD 10.87 billion from USD 2.45 billion in 2019, delivering a CAGR of 20.6% through 2027. The market growth is driven by mounting demand for cost-efficient data management solutions from enterprises to manage database generated from organizations on a day-to-day basis.
In the modern era, database in enterprises comes in different forms and is stored at different locations as well. The data can be both structured or unstructured, including columns and rows in a traditional database and data in formats such as email, social media content, logs, and others. The Big Data in its different forms is stored in log files, databases, SaaS, CRM, and other applications. Managing the database and records otherwise would be difficult if there is no data virtualization, which integrates data from different sources without moving or copying it, giving users a single virtual layer that spans across formats, physical locations, and applications.
Several large and small enterprises are investing in data virtualization technology as it enables easier and faster access to database. It also aids with data mining, further enabling effective analytics, and is extremely important for predictive analytics tools. Growing focus on lowing high-cost involvement of record storage and reducing the risks of errors with effective data management solutions will bolster the global data virtualization market growth through 2027.
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Geographical Segmentation:
The report is a prototype of the Data Virtualization market and focuses on the market’s major regional segments. The market has been categorized into several key geographical segments, including North America, Asia Pacific, Europe, Latin America, and the Middle East Africa. In this section of the report, the anticipated market share, market size, revenue contribution, sales network, distribution channels, and numerous other aspects of each region have been evaluated.
Competitive Terrain:
The global Data Virtualization market has a consolidated presence of a large number of companies that have been performing consistently to achieve optimum market growth. The report comprehensively discusses these companies’ current market standing, past performances, demand supply graphs, sales network, production consumption patterns, and distribution channels. The report thus points out the effective business approaches undertaken by these market players to build on their market footprint.
The leading companies operating across the global Data Virtualization market are listed below:
Oracle Corporation, Denodo Technologies Inc., International Business Machines Corporation, Red Hat Software, Informatica, SAS, Cisco systems, Microsoft Corporation, Capsenta, and SAP SE, among others.
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Key Points of the Report:
- Based on application, the standalone software application segment is estimated to account for 15.2% of the market share, showcasing a growth rate of 20.2% through 2027. The robust growth can be attributed to benefits offered by the software such as reduced data set governance complexity and high-performance transaction.
- Mobile web applications is set to register a CAGR of 20.4% through the forecast period. Integration of the technology in mobile and web applications offer quicker and actionable data access, along with the development of backend operations. The rapid proliferation of mobile web applications is generating high demand for faster access to records, supporting segmental growth.
- The Data Analytics BI Tools segment accounted for 23.1% of the data virtualization market share 2018 and is estimated to witness a notable CAGR of 22.2% through 2026. The growing adoption of the virtualization tool for analytics BI Tools applications in organizations to integrate all the sources of information and deliver big data solutions in order to reduce the record warehousing storage will foster market revenue size.
- Based on organization size, the large enterprise segment is expected to get a market share of 21.2% by 2026. These enterprises are extensively leveraging the technology for their business intelligence tools in order to deal with huge amounts of records every day.
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