Market Overview:
The global data virtualization tools market is expected to grow from USD 1.02 billion in 2018 to USD 2.48 billion by 2030, at a CAGR of 12.8% during the forecast period. The growth of the data virtualization tools market can be attributed to the increasing demand for big data and analytics solutions, growing need for agile and efficient information management practices, and rising trend of cloud-based deployments. However, lack of awareness about data virtualization among organizations is a major restraining factor for the growth of this market.
Product Definition:
The definition of data virtualization tools is a software application that allows users to access and manage multiple data sources, regardless of the location or format of the data. This can be done through a single interface, which makes it easier for users to find and use the information they need. Data virtualization tools can also help users improve performance by caching frequently used information locally.
Cloud-Based:
Cloud-based solutions are software-as-a-service (SaaS) applications that provide data virtualization tools functionality to the end users through a web browser. The major benefit of cloud based solutions is that they offer on demand and convenient access to high scalability computing resources. Cloud service providers such as Amazon, Salesforce, IBM offer infrastructure services in addition to application development and delivery capabilities.
On-Premises:
On-premises is a term used for the software and hardware systems that are installed at the customer's site. The on-premises data virtualization tools include traditional mainframes, SaaS platforms, and other application delivery models. These types of solutions have been in use since decades; however, they are now being replaced by cloud technologies owing to several benefits offered by cloud computing technology such as scalability & elasticity along with cost efficiency.
Application Insights:
The large enterprises segment dominated the global data virtualization tools market in 2017. This can be attributed to factors such as presence of a large number of enterprise customers, need for efficiency and agility in business operations, and growing demand for cost-effective IT infrastructure. The small enterprises segment is expected to exhibit the highest CAGR over the forecast period owing to increasing adoption of these solutions by SMEs due to their ability to offer secure data storage at an affordable price along with easy management features.
The medium-sized enterprise (MTE) segment accounted for more than 25% share of the overall revenue in 2017 owing to factors such as increased usage MTEs adopt cloud computing services while larger organizations are likely use dedicated or multi-tenant clouds that offer various benefits including economies of scale and flexible funding options.
Regional Analysis:
North America dominated the global market in 2017. This can be attributed to the presence of prominent players such as IBM Corporation; Microsoft Corporation; and Google, Inc. Furthermore, these companies are consistently working on developing new products and enhancing their existing product portfolio to meet the growing demand from end users across various industry verticals.
The Asia Pacific region is expected to witness significant growth over the forecast period owing to increasing adoption of data virtualization tools by enterprises for business transformation initiatives. The availability of low-cost cloud services along with rising investments in infrastructure development will continue driving regional market growth during the forecast period. Moreover, government regulations aimed at reducing carbon footprint by shifting data centers off-shore are further fueling regional demand for data virtualization tools in this region thereby supporting businesses operating within it as well as outside it through a number of channels (academic research institutes).
Furthermore, increased spending on IT infrastructure projects by governments across emerging economies such as India.
Growth Factors:
- Increasing demand for data-driven decision making: The need for faster and better insights is driving the adoption of data virtualization tools. These tools help reduce the time needed to get insights from data, enabling businesses to make decisions quickly and effectively.
- Proliferation of big data: With the growth of big data, there is an increasing demand for technologies that can help manage and process this large volume of data more efficiently. Data virtualization tools are well suited for this task, and as a result are seeing increased adoption in today’s market.
- Shift to cloud-based solutions: A growing number of businesses are moving away from traditional on-premises software solutions in favor of cloud-based alternatives. Data virtualization is no exception – many vendors now offer cloud-based versions of their products, which makes it easier than ever for businesses to take advantage of these tools’ benefits without making any major changes to their infrastructure or operations processes.
Scope Of The Report
Report Attributes
Report Details
Report Title
Data virtualization Tools Market Research Report
By Type
Cloud-Based, On-Premises
By Application
Large Enterprises(1000+ Users), Medium-Sized Enterprise(499-1000 Users), Small Enterprises(1-499 Users)
By Companies
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
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
219
Number of Tables & Figures
154
Customization Available
Yes, the report can be customized as per your need.
Global Data virtualization Tools Market Report Segments:
The global Data virtualization Tools market is segmented on the basis of:
Types
Cloud-Based, On-Premises
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises(1000+ Users), Medium-Sized Enterprise(499-1000 Users), Small Enterprises(1-499 Users)
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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
Highlights of The Data virtualization Tools Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud-Based
- On-Premises
- By Application:
- Large Enterprises(1000+ Users)
- Medium-Sized Enterprise(499-1000 Users)
- Small Enterprises(1-499 Users)
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Data virtualization Tools Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Data virtualization tools are a set of software that allow users to create and manage virtualized data stores. These tools can be used to create, manage, and deploy virtualized data stores in a variety of environments including on-premises servers, cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), or in hybrid environments.
Some of the major companies in the data virtualization tools market are 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.
The data virtualization tools market is expected to register a CAGR of 12.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data virtualization Tools Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Data virtualization Tools Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Data virtualization Tools Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Data virtualization Tools Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Data virtualization Tools Market Size & Forecast, 2018-2028
4.5.1 Data virtualization Tools Market Size and Y-o-Y Growth
4.5.2 Data virtualization Tools Market Absolute $ Opportunity
Chapter 5 Global Data virtualization Tools Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Data virtualization Tools Market Size Forecast by Type
5.2.1 Cloud-Based
5.2.2 On-Premises
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Data virtualization Tools Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Data virtualization Tools Market Size Forecast by Applications
6.2.1 Large Enterprises(1000+ Users)
6.2.2 Medium-Sized Enterprise(499-1000 Users)
6.2.3 Small Enterprises(1-499 Users)
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data virtualization Tools Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Data virtualization Tools Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Data virtualization Tools Analysis and Forecast
9.1 Introduction
9.2 North America Data virtualization Tools Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Data virtualization Tools Market Size Forecast by Type
9.6.1 Cloud-Based
9.6.2 On-Premises
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Data virtualization Tools Market Size Forecast by Applications
9.10.1 Large Enterprises(1000+ Users)
9.10.2 Medium-Sized Enterprise(499-1000 Users)
9.10.3 Small Enterprises(1-499 Users)
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Data virtualization Tools Analysis and Forecast
10.1 Introduction
10.2 Europe Data virtualization Tools Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Data virtualization Tools Market Size Forecast by Type
10.6.1 Cloud-Based
10.6.2 On-Premises
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Data virtualization Tools Market Size Forecast by Applications
10.10.1 Large Enterprises(1000+ Users)
10.10.2 Medium-Sized Enterprise(499-1000 Users)
10.10.3 Small Enterprises(1-499 Users)
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Data virtualization Tools Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Data virtualization Tools Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Data virtualization Tools Market Size Forecast by Type
11.6.1 Cloud-Based
11.6.2 On-Premises
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Data virtualization Tools Market Size Forecast by Applications
11.10.1 Large Enterprises(1000+ Users)
11.10.2 Medium-Sized Enterprise(499-1000 Users)
11.10.3 Small Enterprises(1-499 Users)
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Data virtualization Tools Analysis and Forecast
12.1 Introduction
12.2 Latin America Data virtualization Tools Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Data virtualization Tools Market Size Forecast by Type
12.6.1 Cloud-Based
12.6.2 On-Premises
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Data virtualization Tools Market Size Forecast by Applications
12.10.1 Large Enterprises(1000+ Users)
12.10.2 Medium-Sized Enterprise(499-1000 Users)
12.10.3 Small Enterprises(1-499 Users)
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Data virtualization Tools Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Data virtualization Tools Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Data virtualization Tools Market Size Forecast by Type
13.6.1 Cloud-Based
13.6.2 On-Premises
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Data virtualization Tools Market Size Forecast by Applications
13.10.1 Large Enterprises(1000+ Users)
13.10.2 Medium-Sized Enterprise(499-1000 Users)
13.10.3 Small Enterprises(1-499 Users)
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Data virtualization Tools Market: Competitive Dashboard
14.2 Global Data virtualization Tools Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Capgemini
14.3.2 Tata Consultancy Services (TCS)
14.3.3 Wipro
14.3.4 Infosys
14.3.5 Teradata
14.3.6 Genpact
14.3.7 KPMG
14.3.8 Cognizant
14.3.9 SAP
14.3.10 Informatica
14.3.11 Oracle
14.3.12 AWS
14.3.13 Denodo
14.3.14 Vmware
14.3.15 OpenLink Virtuoso
14.3.16 AtScale
14.3.17 Data Virtuality
14.3.18 IBM
14.3.19 Red Hat
14.3.20 TIBCO
14.3.21 Actifio
14.3.22 Stone Bond
