Data virtualization technology is based on the execution of distributed data management processing, primarily for queries, against multiple heterogeneous data sources, and federation of query results into virtual views. This is followed by the consumption of these virtual views by applications, query/reporting tools, message-oriented middleware or other data management infrastructure components. Data virtualization can be used to create virtualized and integrated views of data in-memory, rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify querying logic.
According to this study, over the next five years the Data Virtualization market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2023, from US$ xx million in 2017. In particular, this report presents the global revenue market share of key companies in Data Virtualization business, shared in Chapter 3.
This report presents a comprehensive overview, market shares and growth opportunities of Data Virtualization market by product type, application, key companies and key regions.
This study considers the Data Virtualization value generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2013 to 2018, in Section 2.3; and forecast to 2023 in section 10.7.
Open Source Data Integration Tools
Cloud-based Data Integration Tools
Segmentation by application: breakdown data from 2013 to 2018, in Section 2.4; and forecast to 2023 in section 10.8.
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Denodo
Informatica
SAP
IBM
CData Software
VMware
Amazon Web Services
(AWS)
Cisco
Red Hat
Oracle
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Data Virtualization market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Data Virtualization market by identifying its various subsegments.
Focuses on the key global Data Virtualization players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Data Virtualization with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Data Virtualization submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Summary:
Get latest Market Research Reports on Data Virtualization . Industry analysis & Market Report on Data Virtualization is a syndicated market report, published as Global Data Virtualization Market Growth (Status and Outlook) 2018-2023. It is complete Research Study and Industry Analysis of Data Virtualization market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.