What is Data Virtualization Cloud?
Data Virtualization is a data integration technology that incorporates data from various location formats, and sources without duplication of the data to build a single “virtual” data layer that will provide the integrated data service to support different users and applications. It can also be said that data virtualization is a substitute for data warehousing and extract, transform and load. It is a critical part of modern data architecture. This is mainly due to its adaptability and the capacity that will rapidly incorporate a new data source and will deliver the information to the business clients in real-time. It is used by enterprises to enhance their IT infrastructure along with competitive pricing, better performance. Currently, organizations are creating a huge demand for the data virtualization solution as it has capabilities to enhance the business procedures that offer logical data warehousing and advanced management capabilities. The market is mainly driven by the rising demand for cost-efficient data management solutions among enterprises to manage a huge amount of data. The data virtualization solution enables the enterprise to virtually access the data and to provide crucial data to business intelligence. Moreover, the increasing demand for data integration software is expected to fuel the market in the coming period. The increase in the adoption of cloud-based services in organizations has also anticipated boosting the market. However, there are some restraints to the market due to the lack of administration and standardization which can hinder the growth of the market.
Attributes | Details |
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Study Period | 2018-2028 |
Base Year | 2022 |
Unit | Value (USD Million) |
Key Companies Profiled | SAP SE (Germany), IBM Corporation (United States), Informatica LLC (United States), Denodo Technologies Inc. (United States), Amazon Web Services (AWS) (United States), Cisco, Inc. (United States), Red Hat, Inc. (United States), TIBCO Software Inc. (United States), Oracle Corporation (United States), VMware, Inc. (United States), Microsoft Corporation (United States) and Information Builders (United States) |
The study covers a detailed analysis segmented by key business segments i.e. by type (Service and Solution) , by application (BI tools, Enterprise Application and Mobile and Web Application) and major geographies. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Data Virtualization Cloud market throughout the predicted period.
The competition is expected to become even more intense in the years to come due to the entry of several new players in the market. To help clients improve their revenue shares in the market, this research study provides an in-depth analysis of the markets competitive landscape and offers information on the products offered by various leading companies. Additionally, this Data Virtualization Cloud market report suggests strategies that Players can follow and highlights key areas they should focus on, in order to take maximum benefits of growth opportunities.
The report offers several leading Players, some of them are SAP SE (Germany), IBM Corporation (United States), Informatica LLC (United States), Denodo Technologies Inc. (United States), Amazon Web Services (AWS) (United States), Cisco, Inc. (United States), Red Hat, Inc. (United States), TIBCO Software Inc. (United States), Oracle Corporation (United States), VMware, Inc. (United States), Microsoft Corporation (United States) and Information Builders (United States).
Market Overview:
In July 2022 , IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.
The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches, and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies.
Influencing Trend:
Integration with Machine Learning programs across the New Technological Platforms
Market Growth Drivers:
Rising Demand for Cost-Efficient Data Management Solutions, Increasing Demand for Data Integration Software Tools and Increase in Adoption of Cloud-Based Solutions
Challenges:
Ensuring data security and compliance standards while data is being accessed, integrated, and moved across various cloud environments.
Restraints:
Lack of Standardization in Enterprise Data Management and Reluctance Among Enterprises to Invest in Advanced Solutions
Opportunities:
Rise in Demand for Business Intelligence Tools Among Small and Medium Scale and Cloud-Based Data Virtualisation Becoming New Standard Replacing On-Premise Data Virtualisation Solutions
Key highlights of the Global Data Virtualization Cloud market Study:
CAGR of the market during the forecast period 2022-2028
In-depth information on growth factors that will accelerate the Data Virtualization Cloud market in next few years.
Detailed Insights on futuristic trends and changing consumer behavior
Forecast of the Global Data Virtualization Cloud market size and its contribution to the parent market by type, application and by country.
A broad view of customer demand
Uncover markets competitive landscape and in-depth information on various Players
Comprehensive information about factors that will challenge the growth of Data Virtualization Cloud Players
Transformation and Important Triggers:
Business transformation has taken hold across the broad corporate landscape due to the confluence of several important triggers, including:
A tipping point in globalization
A major slowdown in Western economies
Significant shifts in technology and cost structure
The challenges of regulatory compliance
New forms of competition developing
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Data Virtualization Cloud market.
In order to reach an exhaustive list of functional and relevant players, various industry classification standards are closely followed such as NAICS, ICB, and SIC to penetrate deep into important geographies by players, and a thorough validation test is conducted to reach the most relevant players for survey in Data Virtualization Cloud market.
In order to make a priority list sorting is done based on revenue generated based on the latest reporting, using paid databases such as Factiva, Bloomberg, etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment> by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Providers of Data Virtualization Cloud, Venture Capitalists and Private Equity Firms and End-Use Industry.
This helps us to gather the data for the players revenue, operating cycle and expense, profit along with product or service growth, etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that include Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, Annual reports, press releases, etc.