Data Virtualization Market All Sets For Continued Outperformance| Informatica, Cisco, Microsoft
Advance Market Analytics added research publication document on Worldwide Data Virtualization Market breaking major business segments and highlighting wider level geographies to get deep dive analysis on market data. The study is a perfect balance bridging both qualitative and quantitative information of Worldwide Data Virtualization market. The study provides valuable market size data for historical (Volume** & Value) from 2019 to 2022 which is estimated and forecasted till 2030*. Some are the key & emerging players that are part of coverage and have being profiled are SAP SE (Germany), IBM Corporation (United States), Informatica LLC (United States), Denodo Technologies Inc. (United States), Amazon Web Services (United States), Cisco, Inc. (United States) , Red Hat, Inc. (United States), TIBCO Software Inc. (United States) , Oracle Corporation (United States), VMware, Inc. (United States), Microsoft Corporation (United States), SAS Institute (United States), Information Builders (United States).
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Data virtualization is data integration technology. It contains data from multiple location formats and sources without duplicating the data to create a single "virtual" data layer that provides integrated data services to support a wide range of users and applications. Data virtualization can also be considered as a replacement for data warehousing and ETL (extracting, transforming, and loading).
Data virtualization technology is an integral part of modern data architecture. This is primarily due to adaptability and the ability to quickly integrate new data sources and deliver information to business customers in real-time. It is widely used by companies to improve their IT infrastructure through competitive pricing, better performance, and a trusted environment. Companies are currently in high demand for data virtualization solutions because they can improve business operations and provide logical data warehousing and advanced data management capabilities. In contrast to the traditional extraction, transformation, and loading ("ETL") process, the data stays in place and real-time access to the source system is granted for the data. This reduces the risk of data errors and data shifting through the workload that may never be used, and no attempt is made to impose the data on a single data model (an example of heterogeneous data is a federated database system).
The technology also supports writing transaction data updates back to the source systems. To correct differences in source and consumer formats and semantics, different abstraction and transformation techniques are used. This concept and software are a subset of data integration and are widely used in business intelligence, data services with a service-oriented architecture, cloud computing, enterprise search, and master data management.
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Influencing Market Trend
·??????? High Adoption of Data Virtualization Solutions Due To the Presence of Established Data Virtualization Solution Vendors
·??????? A Rise in Generation of Huge Amounts of Data through Increasing Digitalized Infrastructure
Market Drivers
·??????? 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
·??????? Increase in Generation of Huge Amounts of Data
·??????? Increasing Demand for Data Integration Software Tools
·??????? Increase in Adoption of Cloud-Based Solutions by Enterprises In Order To Enhance Their Business Processes
Opportunities:
·??????? Rise In Demand for Business Intelligence Tools among Small And Medium Enterprises Is Anticipated To Create New Opportunities
·??????? Rapid Development and Innovation in the Field Of Data Management System
·??????? Growing Awareness among End-Users Are Expected To Create New Opportunities
Challenges:
·??????? Reluctance among Enterprises to Invest In Advanced Solutions
Analysis by Type (Open Source Data Integration Tools, Cloud-based Data Integration Tools), Application (Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises), Industry Vertical (Manufacturing, Healthcare, BFSI, Research and Academia, Media and Entertainment, Retail and E-commerce, Government and Defense, Telecom and IT, Others), End-Use (Business Intelligence Tools, Enterprise Applications, Mobile and Web Applications)
Competitive landscape highlighting important parameters that players are gaining along with the Market Development/evolution
? % Market Share, Segment Revenue, Swot Analysis for each profiled company [SAP SE (Germany), IBM Corporation (United States), Informatica LLC (United States), Denodo Technologies Inc. (United States), Amazon Web Services (United States), Cisco, Inc. (United States) , Red Hat, Inc. (United States), TIBCO Software Inc. (United States) , Oracle Corporation (United States), VMware, Inc. (United States), Microsoft Corporation (United States), SAS Institute (United States), Information Builders (United States)]
? Business overview and Product/Service classification
领英推荐
? Product/Service Matrix [Players by Product/Service comparative analysis]
? Recent Developments (Technology advancement, Product Launch or Expansion plan, Manufacturing and R&D etc)
? Consumption, Capacity & Production by Players
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The regional analysis of Global Data Virtualization Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world. Whereas, owing to rising no. of research activities in countries such as China, India, and Japan, Asia Pacific region is also expected to exhibit higher growth rate the forecast period 2023-2030.
Table of Content
Chapter One: Industry Overview Chapter Two: Major Segmentation (Classification, Application and etc.) Analysis Chapter Three: Production Market Analysis Chapter Four: Sales Market Analysis Chapter Five: Consumption Market Analysis Chapter Six: Production, Sales and Consumption Market Comparison Analysis Chapter Seven: Major Manufacturers Production and Sales Market Comparison Analysis Chapter Eight: Competition Analysis by Players Chapter Nine: Marketing Channel Analysis Chapter Ten: New Project Investment Feasibility Analysis Chapter Eleven: Manufacturing Cost Analysis Chapter Twelve: Industrial Chain, Sourcing Strategy and Downstream Buyers.
Read Executive Summary and Detailed Index of full Research Study @?https://www.advancemarketanalytics.com/reports/31493-global-data-virtualization-market?utm_source=LinkedIn&utm_medium=Pranita
Highlights of the Report
? The future prospects of the global Data Virtualization market during the forecast period 2023-2030 are given in the report.
? The major developmental strategies integrated by the leading players to sustain a competitive market position in the market are included in the report.
? The emerging technologies that are driving the growth of the market are highlighted in the report.
? The market value of the segments that are leading the market and the sub-segments are mentioned in the report.
? The report studies the leading manufacturers and other players entering the global Data Virtualization market.
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1 年Very informative, thank you for sharing!