Market Overview:
The global data virtualization market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for data integration and data management solutions among enterprises, growing trend of cloud-based deployments, and rising need for big data analytics solutions. The global data virtualization market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into open source data integration tools and cloud-based data integration tools. Finally, on the basis of region, thee MARKET IS SEPARATED INTO North America,, Latin America,, Europe,, Asia Pacific ,and Middle East & Africa . Among these regions,.
Product Definition:
Data virtualization is a process of combining data from multiple sources into a single view, regardless of the original location or format of the data. Data virtualization can help you reduce the complexity and cost of managing your data infrastructure. It also improves agility by enabling faster access to information for business decision-making.
Open Source Data Integration Tools:
Open source data integration tools are used to combine, consolidate and analyze data from various sources. It is widely used in the field of business intelligence for extracting insights from large volumes of unstructured and structured data. The factors that propel the growth of this market include growing demand for open source software due to its cost effectiveness, increasing adoption by small scale organizations and enterprises moving towards cloud computing.
Cloud-based Data Integration Tools:
Cloud-based data integration tools are used to integrate on-premise and cloud systems. It helps in the seamless transfer of data between two or more applications, servers, or databases. The tool is capable of handling large volumes of information and offers a high level of efficiency by reducing manual efforts for performing various tasks such as monitoring changes in database records and automatically applying those changes into the live system.
Application Insights:
The global data virtualization market has been segmented into small-sized enterprises, medium-sized enterprise, and large enterprises. The small-sized enterprise segment held the largest share of over 60% in 2017. This can be attributed to factors such as increasing demand for on premises software solutions by SMEs due to growing competition and need for efficiency in operations. Furthermore, the use of open source data integration tools by these organizations is also a key driver for market growth.
Medium sized enterprises are expected to emerge as one of the prominent segments over the forecast period owing to their ability to leverage advanced technologies while maintaining control of business processes at reduced costs associated with implementation and maintenance across all layers in IT infrastructure including application layer, middleware & infrastructure layer and transport layer.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to the increasing adoption of cloud-based solutions and open source data integration tools by medium-sized and large enterprises. Furthermore, growing awareness regarding data security among enterprises is driving their preference for virtualization technologies, thereby boosting regional demand.
The Asia Pacific region accounted for more than 25% of the overall revenue share in 2017 owing to an increase in spending on IT infrastructure by companies operating across various industries such as manufacturing, healthcare & life sciences, banking & financial services (BFS), telecoms/energy&utilities). Moreover, government initiatives encouraging digitalization are also contributing towards increased spending on data virtualization solutions across this region.
Growth Factors:
- Increasing demand for data-driven decision making: The need for faster and better insights is driving the adoption of data virtualization solutions. Data virtualization helps reduce the time needed to get insights from data, enabling businesses to make decisions in a more timely manner.
- Proliferation of big data and IoT: The growth of big data and IoT is creating new opportunities for data virtualization as these technologies require massive volumes of fast-moving, diverse data to be effectively managed and analyzed.
- Shift to cloud computing: As businesses move their workloads to the cloud, they are increasingly looking for ways to optimize performance and reduce costs. Data virtualization can help achieve both goals by allowing organizations to consolidate multiple applications onto a single platform while still delivering the performance required by end users.
- Growing interest in self-service analytics: Businesses are becoming increasingly interested in self-service analytics tools that allow users without technical expertise to easily access corporate information and perform complex analysis themselves without relying on IT staff or outside consultants . Data virtualization can play an important role in enabling self-service analytics by providing users with a single view of all their relevant corporate information regardless of where it resides physically . 5) Regulatory compliance requirements: As companies face increasing pressure from regulators to ensure that they protect customer privacy and meet other compliance requirements, they are turning towardsdatavirtualization solutions as a wayto centralizeand secure sensitiveinformationacross multiple silos
Scope Of The Report
Report Attributes
Report Details
Report Title
Data Virtualization Market Research Report
By Type
Open Source Data Integration Tools, Cloud-based Data Integration Tools
By Application
Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises
By Companies
Denodo, Informatica, SAP, IBM, CData Software, VMware, Amazon Web Services, (AWS), Cisco, Red Hat, Oracle
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
129
Number of Tables & Figures
91
Customization Available
Yes, the report can be customized as per your need.
Global Data Virtualization Market Report Segments:
The global Data Virtualization market is segmented on the basis of:
Types
Open Source Data Integration Tools, Cloud-based Data Integration Tools
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
Small-Sized Enterprises, Medium-Sized Enterprise, Large Enterprises
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:
- Denodo
- Informatica
- SAP
- IBM
- CData Software
- VMware
- Amazon Web Services
- (AWS)
- Cisco
- Red Hat
- Oracle
Highlights of The Data Virtualization 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:
- Open Source Data Integration Tools
- Cloud-based Data Integration Tools
- By Application:
- Small-Sized Enterprises
- Medium-Sized Enterprise
- Large Enterprises
- 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 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.
How you may use our products:
- Correctly Positioning New Products
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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 is the process of transforming physical data into a format that can be stored and accessed by computers. This transformation can involve moving data from one type of storage to another, or encrypting it so that it cannot be read by unauthorized individuals.
Some of the major companies in the data virtualization market are Denodo, Informatica, SAP, IBM, CData Software, VMware, Amazon Web Services, (AWS), Cisco, Red Hat, Oracle.
The data virtualization market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Virtualization 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 Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Data Virtualization 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 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 Market Size & Forecast, 2020-2028 4.5.1 Data Virtualization Market Size and Y-o-Y Growth 4.5.2 Data Virtualization Market Absolute $ Opportunity
Chapter 5 Global 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 Market Size Forecast by Type
5.2.1 Open Source Data Integration Tools
5.2.2 Cloud-based Data Integration Tools
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global 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 Market Size Forecast by Applications
6.2.1 Small-Sized Enterprises
6.2.2 Medium-Sized Enterprise
6.2.3 Large Enterprises
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Data Virtualization 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 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 Analysis and Forecast
9.1 Introduction
9.2 North America 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 Market Size Forecast by Type
9.6.1 Open Source Data Integration Tools
9.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
9.10.1 Small-Sized Enterprises
9.10.2 Medium-Sized Enterprise
9.10.3 Large Enterprises
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 Analysis and Forecast
10.1 Introduction
10.2 Europe 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 Market Size Forecast by Type
10.6.1 Open Source Data Integration Tools
10.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
10.10.1 Small-Sized Enterprises
10.10.2 Medium-Sized Enterprise
10.10.3 Large Enterprises
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 Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific 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 Market Size Forecast by Type
11.6.1 Open Source Data Integration Tools
11.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
11.10.1 Small-Sized Enterprises
11.10.2 Medium-Sized Enterprise
11.10.3 Large Enterprises
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 Analysis and Forecast
12.1 Introduction
12.2 Latin America 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 Market Size Forecast by Type
12.6.1 Open Source Data Integration Tools
12.6.2 Cloud-based Data Integration Tools
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 Market Size Forecast by Applications
12.10.1 Small-Sized Enterprises
12.10.2 Medium-Sized Enterprise
12.10.3 Large Enterprises
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) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) 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) Market Size Forecast by Type
13.6.1 Open Source Data Integration Tools
13.6.2 Cloud-based Data Integration Tools
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) Market Size Forecast by Applications
13.10.1 Small-Sized Enterprises
13.10.2 Medium-Sized Enterprise
13.10.3 Large Enterprises
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 Market: Competitive Dashboard
14.2 Global Data Virtualization Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Denodo
14.3.2 Informatica
14.3.3 SAP
14.3.4 IBM
14.3.5 CData Software
14.3.6 VMware
14.3.7 Amazon Web Services
14.3.8 (AWS)
14.3.9 Cisco
14.3.10 Red Hat
14.3.11 Oracle