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.
Highlights
The global Data virtualization Tools market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Data virtualization Tools is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Data virtualization Tools is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Data virtualization Tools in Large Enterprises(1000+ Users) is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Data virtualization Tools include Capgemini, Tata Consultancy Services (TCS), Wipro, Infosys, Teradata, Genpact, KPMG, Cognizant and SAP, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Data virtualization Tools, 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.
The Data virtualization Tools market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Data virtualization Tools market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Data virtualization Tools companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Data virtualization Tools companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Data virtualization Tools Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Cloud-Based
1.2.3 On-Premises
1.3 Market by Application
1.3.1 Global Data virtualization Tools Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Large Enterprises(1000+ Users)
1.3.3 Medium-Sized Enterprise(499-1000 Users)
1.3.4 Small Enterprises(1-499 Users)
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Data virtualization Tools Market Perspective (2018-2029)
2.2 Data virtualization Tools Growth Trends by Region
2.2.1 Global Data virtualization Tools Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Data virtualization Tools Historic Market Size by Region (2018-2023)
2.2.3 Data virtualization Tools Forecasted Market Size by Region (2024-2029)
2.3 Data virtualization Tools Market Dynamics
2.3.1 Data virtualization Tools Industry Trends
2.3.2 Data virtualization Tools Market Drivers
2.3.3 Data virtualization Tools Market Challenges
2.3.4 Data virtualization Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Data virtualization Tools Players by Revenue
3.1.1 Global Top Data virtualization Tools Players by Revenue (2018-2023)
3.1.2 Global Data virtualization Tools Revenue Market Share by Players (2018-2023)
3.2 Global Data virtualization Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Data virtualization Tools Revenue
3.4 Global Data virtualization Tools Market Concentration Ratio
3.4.1 Global Data virtualization Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Data virtualization Tools Revenue in 2022
3.5 Data virtualization Tools Key Players Head office and Area Served
3.6 Key Players Data virtualization Tools Product Solution and Service
3.7 Date of Enter into Data virtualization Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Data virtualization Tools Breakdown Data by Type
4.1 Global Data virtualization Tools Historic Market Size by Type (2018-2023)
4.2 Global Data virtualization Tools Forecasted Market Size by Type (2024-2029)
5 Data virtualization Tools Breakdown Data by Application
5.1 Global Data virtualization Tools Historic Market Size by Application (2018-2023)
5.2 Global Data virtualization Tools Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Data virtualization Tools Market Size (2018-2029)
6.2 North America Data virtualization Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Data virtualization Tools Market Size by Country (2018-2023)
6.4 North America Data virtualization Tools Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Data virtualization Tools Market Size (2018-2029)
7.2 Europe Data virtualization Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Data virtualization Tools Market Size by Country (2018-2023)
7.4 Europe Data virtualization Tools Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Data virtualization Tools Market Size (2018-2029)
8.2 Asia-Pacific Data virtualization Tools Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Data virtualization Tools Market Size by Region (2018-2023)
8.4 Asia-Pacific Data virtualization Tools Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Data virtualization Tools Market Size (2018-2029)
9.2 Latin America Data virtualization Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Data virtualization Tools Market Size by Country (2018-2023)
9.4 Latin America Data virtualization Tools Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Data virtualization Tools Market Size (2018-2029)
10.2 Middle East & Africa Data virtualization Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Data virtualization Tools Market Size by Country (2018-2023)
10.4 Middle East & Africa Data virtualization Tools Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Capgemini
11.1.1 Capgemini Company Detail
11.1.2 Capgemini Business Overview
11.1.3 Capgemini Data virtualization Tools Introduction
11.1.4 Capgemini Revenue in Data virtualization Tools Business (2018-2023)
11.1.5 Capgemini Recent Development
11.2 Tata Consultancy Services (TCS)
11.2.1 Tata Consultancy Services (TCS) Company Detail
11.2.2 Tata Consultancy Services (TCS) Business Overview
11.2.3 Tata Consultancy Services (TCS) Data virtualization Tools Introduction
11.2.4 Tata Consultancy Services (TCS) Revenue in Data virtualization Tools Business (2018-2023)
11.2.5 Tata Consultancy Services (TCS) Recent Development
11.3 Wipro
11.3.1 Wipro Company Detail
11.3.2 Wipro Business Overview
11.3.3 Wipro Data virtualization Tools Introduction
11.3.4 Wipro Revenue in Data virtualization Tools Business (2018-2023)
11.3.5 Wipro Recent Development
11.4 Infosys
11.4.1 Infosys Company Detail
11.4.2 Infosys Business Overview
11.4.3 Infosys Data virtualization Tools Introduction
11.4.4 Infosys Revenue in Data virtualization Tools Business (2018-2023)
11.4.5 Infosys Recent Development
11.5 Teradata
11.5.1 Teradata Company Detail
11.5.2 Teradata Business Overview
11.5.3 Teradata Data virtualization Tools Introduction
11.5.4 Teradata Revenue in Data virtualization Tools Business (2018-2023)
11.5.5 Teradata Recent Development
11.6 Genpact
11.6.1 Genpact Company Detail
11.6.2 Genpact Business Overview
11.6.3 Genpact Data virtualization Tools Introduction
11.6.4 Genpact Revenue in Data virtualization Tools Business (2018-2023)
11.6.5 Genpact Recent Development
11.7 KPMG
11.7.1 KPMG Company Detail
11.7.2 KPMG Business Overview
11.7.3 KPMG Data virtualization Tools Introduction
11.7.4 KPMG Revenue in Data virtualization Tools Business (2018-2023)
11.7.5 KPMG Recent Development
11.8 Cognizant
11.8.1 Cognizant Company Detail
11.8.2 Cognizant Business Overview
11.8.3 Cognizant Data virtualization Tools Introduction
11.8.4 Cognizant Revenue in Data virtualization Tools Business (2018-2023)
11.8.5 Cognizant Recent Development
11.9 SAP
11.9.1 SAP Company Detail
11.9.2 SAP Business Overview
11.9.3 SAP Data virtualization Tools Introduction
11.9.4 SAP Revenue in Data virtualization Tools Business (2018-2023)
11.9.5 SAP Recent Development
11.10 Informatica
11.10.1 Informatica Company Detail
11.10.2 Informatica Business Overview
11.10.3 Informatica Data virtualization Tools Introduction
11.10.4 Informatica Revenue in Data virtualization Tools Business (2018-2023)
11.10.5 Informatica Recent Development
11.11 Oracle
11.11.1 Oracle Company Detail
11.11.2 Oracle Business Overview
11.11.3 Oracle Data virtualization Tools Introduction
11.11.4 Oracle Revenue in Data virtualization Tools Business (2018-2023)
11.11.5 Oracle Recent Development
11.12 AWS
11.12.1 AWS Company Detail
11.12.2 AWS Business Overview
11.12.3 AWS Data virtualization Tools Introduction
11.12.4 AWS Revenue in Data virtualization Tools Business (2018-2023)
11.12.5 AWS Recent Development
11.13 Denodo
11.13.1 Denodo Company Detail
11.13.2 Denodo Business Overview
11.13.3 Denodo Data virtualization Tools Introduction
11.13.4 Denodo Revenue in Data virtualization Tools Business (2018-2023)
11.13.5 Denodo Recent Development
11.14 Vmware
11.14.1 Vmware Company Detail
11.14.2 Vmware Business Overview
11.14.3 Vmware Data virtualization Tools Introduction
11.14.4 Vmware Revenue in Data virtualization Tools Business (2018-2023)
11.14.5 Vmware Recent Development
11.15 OpenLink Virtuoso
11.15.1 OpenLink Virtuoso Company Detail
11.15.2 OpenLink Virtuoso Business Overview
11.15.3 OpenLink Virtuoso Data virtualization Tools Introduction
11.15.4 OpenLink Virtuoso Revenue in Data virtualization Tools Business (2018-2023)
11.15.5 OpenLink Virtuoso Recent Development
11.16 AtScale
11.16.1 AtScale Company Detail
11.16.2 AtScale Business Overview
11.16.3 AtScale Data virtualization Tools Introduction
11.16.4 AtScale Revenue in Data virtualization Tools Business (2018-2023)
11.16.5 AtScale Recent Development
11.17 Data Virtuality
11.17.1 Data Virtuality Company Detail
11.17.2 Data Virtuality Business Overview
11.17.3 Data Virtuality Data virtualization Tools Introduction
11.17.4 Data Virtuality Revenue in Data virtualization Tools Business (2018-2023)
11.17.5 Data Virtuality Recent Development
11.18 IBM
11.18.1 IBM Company Detail
11.18.2 IBM Business Overview
11.18.3 IBM Data virtualization Tools Introduction
11.18.4 IBM Revenue in Data virtualization Tools Business (2018-2023)
11.18.5 IBM Recent Development
11.19 Red Hat
11.19.1 Red Hat Company Detail
11.19.2 Red Hat Business Overview
11.19.3 Red Hat Data virtualization Tools Introduction
11.19.4 Red Hat Revenue in Data virtualization Tools Business (2018-2023)
11.19.5 Red Hat Recent Development
11.20 TIBCO
11.20.1 TIBCO Company Detail
11.20.2 TIBCO Business Overview
11.20.3 TIBCO Data virtualization Tools Introduction
11.20.4 TIBCO Revenue in Data virtualization Tools Business (2018-2023)
11.20.5 TIBCO Recent Development
11.21 Actifio
11.21.1 Actifio Company Detail
11.21.2 Actifio Business Overview
11.21.3 Actifio Data virtualization Tools Introduction
11.21.4 Actifio Revenue in Data virtualization Tools Business (2018-2023)
11.21.5 Actifio Recent Development
11.22 Stone Bond
11.22.1 Stone Bond Company Detail
11.22.2 Stone Bond Business Overview
11.22.3 Stone Bond Data virtualization Tools Introduction
11.22.4 Stone Bond Revenue in Data virtualization Tools Business (2018-2023)
11.22.5 Stone Bond Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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.
