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.
The global market for Data virtualization Tools was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
North American market for Data virtualization Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Data virtualization Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Europe market for Data virtualization Tools was valued at $ million in 2023 and will reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global key companies of Data virtualization Tools include Capgemini, Tata Consultancy Services (TCS), Wipro, Infosys, Teradata, Genpact, KPMG, Cognizant and SAP, etc. In 2023, the global five largest players hold a share approximately % in terms of revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data virtualization Tools, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Data virtualization Tools by region & country, by Type, and by Application.
The Data virtualization Tools market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Data virtualization Tools.
Market Segmentation
By Company
Capgemini
Tata Consultancy Services (TCS)
Wipro
Infosys
Teradata
Genpact
KPMG
Cognizant
SAP
Informatica
Oracle
AWS
Denodo
Vmware
OpenLink Virtuoso
AtScale
Data Virtuality
IBM
Red Hat
TIBCO
Actifio
Stone Bond
Segment by Type:
Cloud-Based
On-Premises
Segment by Application
Large Enterprises(1000+ Users)
Medium-Sized Enterprise(499-1000 Users)
Small Enterprises(1-499 Users)
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Data virtualization Tools manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Data virtualization Tools in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Data virtualization Tools in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.
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1 Market Overview
1.1 Data virtualization Tools Product Introduction
1.2 Global Data virtualization Tools Market Size Forecast
1.3 Data virtualization Tools Market Trends & Drivers
1.3.1 Data virtualization Tools Industry Trends
1.3.2 Data virtualization Tools Market Drivers & Opportunity
1.3.3 Data virtualization Tools Market Challenges
1.3.4 Data virtualization Tools Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Data virtualization Tools Players Revenue Ranking (2023)
2.2 Global Data virtualization Tools Revenue by Company (2019-2024)
2.3 Key Companies Data virtualization Tools Manufacturing Base Distribution and Headquarters
2.4 Key Companies Data virtualization Tools Product Offered
2.5 Key Companies Time to Begin Mass Production of Data virtualization Tools
2.6 Data virtualization Tools Market Competitive Analysis
2.6.1 Data virtualization Tools Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Data virtualization Tools Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Data virtualization Tools as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-Based
3.1.2 On-Premises
3.2 Global Data virtualization Tools Sales Value by Type
3.2.1 Global Data virtualization Tools Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Data virtualization Tools Sales Value, by Type (2019-2030)
3.2.3 Global Data virtualization Tools Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Large Enterprises(1000+ Users)
4.1.2 Medium-Sized Enterprise(499-1000 Users)
4.1.3 Small Enterprises(1-499 Users)
4.2 Global Data virtualization Tools Sales Value by Application
4.2.1 Global Data virtualization Tools Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Data virtualization Tools Sales Value, by Application (2019-2030)
4.2.3 Global Data virtualization Tools Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Data virtualization Tools Sales Value by Region
5.1.1 Global Data virtualization Tools Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Data virtualization Tools Sales Value by Region (2019-2024)
5.1.3 Global Data virtualization Tools Sales Value by Region (2025-2030)
5.1.4 Global Data virtualization Tools Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Data virtualization Tools Sales Value, 2019-2030
5.2.2 North America Data virtualization Tools Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Data virtualization Tools Sales Value, 2019-2030
5.3.2 Europe Data virtualization Tools Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Data virtualization Tools Sales Value, 2019-2030
5.4.2 Asia Pacific Data virtualization Tools Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Data virtualization Tools Sales Value, 2019-2030
5.5.2 South America Data virtualization Tools Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Data virtualization Tools Sales Value, 2019-2030
5.6.2 Middle East & Africa Data virtualization Tools Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Data virtualization Tools Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Data virtualization Tools Sales Value
6.3 United States
6.3.1 United States Data virtualization Tools Sales Value, 2019-2030
6.3.2 United States Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Data virtualization Tools Sales Value, 2019-2030
6.4.2 Europe Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Data virtualization Tools Sales Value, 2019-2030
6.5.2 China Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.5.3 China Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Data virtualization Tools Sales Value, 2019-2030
6.6.2 Japan Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Data virtualization Tools Sales Value, 2019-2030
6.7.2 South Korea Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Data virtualization Tools Sales Value, 2019-2030
6.8.2 Southeast Asia Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Data virtualization Tools Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Data virtualization Tools Sales Value, 2019-2030
6.9.2 India Data virtualization Tools Sales Value by Type (%), 2023 VS 2030
6.9.3 India Data virtualization Tools Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Capgemini
7.1.1 Capgemini Profile
7.1.2 Capgemini Main Business
7.1.3 Capgemini Data virtualization Tools Products, Services and Solutions
7.1.4 Capgemini Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.1.5 Capgemini Recent Developments
7.2 Tata Consultancy Services (TCS)
7.2.1 Tata Consultancy Services (TCS) Profile
7.2.2 Tata Consultancy Services (TCS) Main Business
7.2.3 Tata Consultancy Services (TCS) Data virtualization Tools Products, Services and Solutions
7.2.4 Tata Consultancy Services (TCS) Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.2.5 Tata Consultancy Services (TCS) Recent Developments
7.3 Wipro
7.3.1 Wipro Profile
7.3.2 Wipro Main Business
7.3.3 Wipro Data virtualization Tools Products, Services and Solutions
7.3.4 Wipro Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.3.5 Infosys Recent Developments
7.4 Infosys
7.4.1 Infosys Profile
7.4.2 Infosys Main Business
7.4.3 Infosys Data virtualization Tools Products, Services and Solutions
7.4.4 Infosys Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.4.5 Infosys Recent Developments
7.5 Teradata
7.5.1 Teradata Profile
7.5.2 Teradata Main Business
7.5.3 Teradata Data virtualization Tools Products, Services and Solutions
7.5.4 Teradata Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.5.5 Teradata Recent Developments
7.6 Genpact
7.6.1 Genpact Profile
7.6.2 Genpact Main Business
7.6.3 Genpact Data virtualization Tools Products, Services and Solutions
7.6.4 Genpact Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.6.5 Genpact Recent Developments
7.7 KPMG
7.7.1 KPMG Profile
7.7.2 KPMG Main Business
7.7.3 KPMG Data virtualization Tools Products, Services and Solutions
7.7.4 KPMG Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.7.5 KPMG Recent Developments
7.8 Cognizant
7.8.1 Cognizant Profile
7.8.2 Cognizant Main Business
7.8.3 Cognizant Data virtualization Tools Products, Services and Solutions
7.8.4 Cognizant Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.8.5 Cognizant Recent Developments
7.9 SAP
7.9.1 SAP Profile
7.9.2 SAP Main Business
7.9.3 SAP Data virtualization Tools Products, Services and Solutions
7.9.4 SAP Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.9.5 SAP Recent Developments
7.10 Informatica
7.10.1 Informatica Profile
7.10.2 Informatica Main Business
7.10.3 Informatica Data virtualization Tools Products, Services and Solutions
7.10.4 Informatica Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.10.5 Informatica Recent Developments
7.11 Oracle
7.11.1 Oracle Profile
7.11.2 Oracle Main Business
7.11.3 Oracle Data virtualization Tools Products, Services and Solutions
7.11.4 Oracle Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.11.5 Oracle Recent Developments
7.12 AWS
7.12.1 AWS Profile
7.12.2 AWS Main Business
7.12.3 AWS Data virtualization Tools Products, Services and Solutions
7.12.4 AWS Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.12.5 AWS Recent Developments
7.13 Denodo
7.13.1 Denodo Profile
7.13.2 Denodo Main Business
7.13.3 Denodo Data virtualization Tools Products, Services and Solutions
7.13.4 Denodo Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.13.5 Denodo Recent Developments
7.14 Vmware
7.14.1 Vmware Profile
7.14.2 Vmware Main Business
7.14.3 Vmware Data virtualization Tools Products, Services and Solutions
7.14.4 Vmware Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.14.5 Vmware Recent Developments
7.15 OpenLink Virtuoso
7.15.1 OpenLink Virtuoso Profile
7.15.2 OpenLink Virtuoso Main Business
7.15.3 OpenLink Virtuoso Data virtualization Tools Products, Services and Solutions
7.15.4 OpenLink Virtuoso Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.15.5 OpenLink Virtuoso Recent Developments
7.16 AtScale
7.16.1 AtScale Profile
7.16.2 AtScale Main Business
7.16.3 AtScale Data virtualization Tools Products, Services and Solutions
7.16.4 AtScale Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.16.5 AtScale Recent Developments
7.17 Data Virtuality
7.17.1 Data Virtuality Profile
7.17.2 Data Virtuality Main Business
7.17.3 Data Virtuality Data virtualization Tools Products, Services and Solutions
7.17.4 Data Virtuality Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.17.5 Data Virtuality Recent Developments
7.18 IBM
7.18.1 IBM Profile
7.18.2 IBM Main Business
7.18.3 IBM Data virtualization Tools Products, Services and Solutions
7.18.4 IBM Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.18.5 IBM Recent Developments
7.19 Red Hat
7.19.1 Red Hat Profile
7.19.2 Red Hat Main Business
7.19.3 Red Hat Data virtualization Tools Products, Services and Solutions
7.19.4 Red Hat Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.19.5 Red Hat Recent Developments
7.20 TIBCO
7.20.1 TIBCO Profile
7.20.2 TIBCO Main Business
7.20.3 TIBCO Data virtualization Tools Products, Services and Solutions
7.20.4 TIBCO Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.20.5 TIBCO Recent Developments
7.21 Actifio
7.21.1 Actifio Profile
7.21.2 Actifio Main Business
7.21.3 Actifio Data virtualization Tools Products, Services and Solutions
7.21.4 Actifio Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.21.5 Actifio Recent Developments
7.22 Stone Bond
7.22.1 Stone Bond Profile
7.22.2 Stone Bond Main Business
7.22.3 Stone Bond Data virtualization Tools Products, Services and Solutions
7.22.4 Stone Bond Data virtualization Tools Revenue (US$ Million) & (2019-2024)
7.22.5 Stone Bond Recent Developments
8 Industry Chain Analysis
8.1 Data virtualization Tools Industrial Chain
8.2 Data virtualization Tools Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Data virtualization Tools Sales Model
8.5.2 Sales Channel
8.5.3 Data virtualization Tools Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer
Capgemini
Tata Consultancy Services (TCS)
Wipro
Infosys
Teradata
Genpact
KPMG
Cognizant
SAP
Informatica
Oracle
AWS
Denodo
Vmware
OpenLink Virtuoso
AtScale
Data Virtuality
IBM
Red Hat
TIBCO
Actifio
Stone Bond
听
听
*If Applicable.
