Global Data Virtualization Market – Industry Trends and Forecast to 2031

The Data Virtualization market is experiencing robust expansion, with market size projected to increase from XX billion in 2023 to xx billion by 2031, demonstrating a consistent year-over-year growth rate of 21.51%. Data Virtualization Market Size, Share, Competitive Landscape and Trend Analysis Report, by Types (Hardware, Software, Services), by applications (Consumer Electronics, Corporate and Enterprise, Education, Healthcare, Others) And regions ({regionNms}) : Industry Forecast and Opportunity Analysis for 2023 - 2031

The data virtualisation market at a global level relates to the design, deployment, and operation of software solutions that interact with multiple data sources in the organisation, enabling management and visibility of data in a uniform and abstract manner. Such data virtualisation application suites allow the users to gather and perform operations on data dispersed over numerous systems, datastores, and data storage centres without involving sophisticated techniques for data movement or consolidation in a specific place. Clearly, this method has its advantages, including better access to information, minimal information storage, and better control of information. Considering the growing volume and diversity of data available, the craving for efficient data virtualisation techniques will be on an upward trend as a result of phenomena such as digitalisation, analytics, and the culture of making decisions based on data.

Data Virtualization Report Highlights

Report Metrics	Details
Forecast period	2019-2031
Base Year Of Estimation	2023
Growth Rate	CAGR of 21.51%
By Product Type	Hardware, Software, Services
Key Market Players	IBM Corporation (US) VMware Inc. (US) SAP SE (Germany) Fujitsu Limited (Japan) Dell Corporation (US) Microsoft Corporation (US) Red Hat Inc. (US) Cisco Systems, Inc. (US) Citrix Systems, Inc. (US)
By Region

Data Virtualization Market Trends

The increasing appetite for ever-present access to and integration of data from multiple sources is a key factor driving the growth of the data virtualisation market. With the help of data virtualisation tools, which help overcome the hurdles posed by data silos, organisations are now able to aggregate and inspect the information without the need to relocate it physically. This is especially common in industries such as finance, health care, and retail, where insights from data need to be available in real-time to make effective decisions. The growth is also affected by the emergence of cloud computing, as organisations are incorporating hybrid and multi-cloud systems to improve their data orchestrating capabilities as well as enhance efficiency in operations. Confluence of AI and machine learning with data virtualisation platforms is also a growing trend. It helps leverage the data on the organisation’s cloud, enabling sophisticated data processing and predictive analysis alongside denudating the manual work load for the firms. Furthermore, companies are focused more on data governance and compliance and therefore need solutions that enable safe provision of access to the data without breaking the law. With heightened concerns about privacy, there will be an increased need for virtualisation approaches that do not compromise control over how data is used, in turn contributing to the upward market trend.

Data Virtualization Market Leading Players

The key players profiled in the report are IBM Corporation (US),, VMware Inc. (US),, SAP SE (Germany),, Fujitsu Limited (Japan),, Dell Corporation (US),, Microsoft Corporation (US),, Red Hat Inc. (US),, Cisco Systems, Inc. (US),, Citrix Systems, Inc. (US)

Growth Accelerators

Accessing and integrating different data systems into one is the primary factor that is expected to boost the market for data virtualisation in the coming years. With more and more firms translating their work into digital format and generating tonnes of recorded data from different sources, such as the cloud, databases, and even the IoT, there comes the need for access to data across the board. By employing data virtualisation, businesses are able to view their data as a seamless and current entity instead of having to copy and replicate their data from different regions, which is quickening the process of decision-making and improving analytical work. One more driver of this market is the increase of users accepting the cloud as well as the availability of the work environment. Organisations are using and are more inclined to use facilities managed remotely (in the cloud); hence, storage and protection of data in clouds sits alone, whereby tools that smartly connect and help integrate data on clouds and on-premise infrastructure are in high demand. These data virtualisation solutions offer such integration capability in that they sit on top of the various data sources, enabling organisations to get the information they need without being constrained by the sources of information they have access to.

Data Virtualization Market Segmentation analysis

The Global Data Virtualization is segmented by Type, Application, and Region.
By Type, the market is divided into Distributed Hardware, Software, Services . The Application segment categorizes the market based on its usage such as Consumer Electronics, Corporate and Enterprise, Education, Healthcare, Others. Geographically, the market is assessed across key Regions like {regionNms} and others, each presenting distinct growth opportunities and challenges influenced by the regions.

Competitive Landscape

The data virtualisation market is both competitive and dynamic, featuring an assortment of ongoing players who are the incumbents and offer their all-encompassing solutions for data access, integration, and analysis within the shortest possible time to the members of the organization. Examples of such firms include IBM, Oracle, and Microsoft that boast of sophisticated data virtualisation solutions that allow for scalability, security, and high connectivity capabilities. These companies in the market capitalise on their long-term customers and technology by improving their services or sometimes merging data virtualisation with other services such as cloud systems and data management. New companies and niche competitors are equally important as they design and implement targeted solutions to particular market segments. Denodo, Dremio, and AtScale are examples of companies that focus on data virtualisation and provide solutions that are easy to use and integrate quickly. In the market, there is a growing trend where companies engage in partnerships and mergers so that they can increase their capabilities and their forces in the market.

Challenges In Data Virtualization Market

The expansion and acceptance of the data virtualisation market are bedevilled by numerous issues. One of which is bringing together different data sources irrespective of their locations. Organisations are likely to possess several databases, cloud services, and/or on-premise systems, which create challenges in generating a coherent data view. Achieving quick interconnections and data availability without losing quality or consistency is often a tall order. Whereas another challenge is associated with security and usability. Data virtualisation solutions, as a rule, provide an opportunity to use a wide spectrum of data sources; consequently, there is a risk of abusing those sources, which means that organisations have to do a lot in terms of protecting their data domiciles. There are data protection laws such as GDPR and CCPA that impose requirements for compliance, encouraging data virtualisation policies such as practices that make easy access to data sources. Organisations are required to manage risks, i.e., protect sensitive information and respond to legal issues without compromising data virtualisation benefits in the organization. The attention to both security and compliance, however, possibly extends the time required for implementation and may discourage organisations from fully adopting data virtualisation technologies.

Risks & Prospects in Data Virtualization Market

The rise in demand for real-time data access and the ability to integrate and make use of various data sources drive opportunities in the data virtualisation market. With the adoption of cloud technology and multi-clouds, data virtualisation allows users to integrate and access data without the traditional complexities of data integration. This promotes faster decision-making, as customers can use insights out of the view of all their data assets, no matter the location of such data. Additionally, there is rising demand for these solutions because organisations are shifting towards data-first approaches to enhance their analytics capabilities. Another related opportunity is seen with the growing use of big data and analytics tools as businesses seek to exploit data, particularly generated and controlling structured and unstructured data. Data virtualisation also makes it possible to interoperate and connect to advanced analytics tools, facilitating the analytics of data in real time without needing a lot of data transfer and transformation.

Key Target Audience

The primary consideration for the data virtualisation market is that it targets big businesses and corporations in diverse sectors: finance dimensionality, health informatics, retail medicine, and telecommunications, to mention but a few. These entities strive to improve on their data management approaches to allow instantaneous retrieval of different types of data from several sources without the complexities associated with data integration. The implementation of data virtualisation solutions by enterprises makes it possible for them to enhance their decision-making, improve analytical processes, and/or reengineer and optimise processes for better results while spending less on data upkeep and storage. The appetite for data insights owing to big data, as well as the management of data concerns within these big corporate entities, has contributed to the interest in data virtualization.,, Furthermore, the sphere of investment also encompasses IT service providers and system integrators that offer data management solutions to enterprises that wish to improve their data architecture. In a way, these providers make use of the data virtualisation technologies in assisting their clients to bring together data from different sources, improve the governance of the data, and allow more information to become available within the entity.

Merger and acquisition

The recent mergers and acquisitions in the data virtualisation sector illustrate the increased inclination of organisations towards achieving data-centric operational efficiency. For example, IBM's purchase of Databand.ai in 2023 was in line with IBM's vision for enhancing its data observability components so that users can make better sense of their data flows and thereby improve the quality of their data virtualization. This emphasises the need to incorporate sophisticated analytics into data virtualisation and analytics enabling decision-making in real time and data governance, respectively. Other restructuring activities are the acquisition of Denodo Technologies by Thoma Bravo, which was completed in the beginning of 2024. This acquisition is meant to leverage Thoma Bravo's knowledge and resources in growing technology companies within the context of Denodo’s cutting-edge data virtualisation technologies. The objectives of such a merger are to enhance data virtualisation technology within enterprises by improving their capabilities in accessing and not pooling together multiple data sources, as well as meeting the increasing needs for analytics within most sectors. In this regard, such operations may be understood as underscoring not only the competitive spirit but also the willingness to cooperate within the data virtualisation market as companies seek to provide better services to their clients.