by on September 27, 2023

Market Overview

The virtualization market share is expected to grow from USD 5.5 billion in 2022 to USD 31.73 billion in 2032, at a CAGR of 21.50% during the forecast period. The growth of the market is attributed to the increasing demand for data integration and management solutions, the growing adoption of cloud computing, and the need to comply with data privacy and governance regulations.

Data virtualization software is a technology that provides a unified view of data from different sources without physically integrating the data. It allows users to access and query data from different sources as if it were stored in a single, centralized repository. Data virtualization can be used to support a variety of applications, including data warehousing, business intelligence, analytics, and machine learning.

Key Companies

The key companies operating in the global data virtualization market include:

  • Denodo Technologies
  • Informatica
  • IBM
  • Microsoft
  • Oracle
  • SAS Institute
  • TIBCO Software
  • Denodo Technologies
  • Fujitsu
  • SAP SE
  • VMware

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Market Segmentation

The global data virtualization market is segmented by type, deployment model, application, and industry vertical.

By Type

  • Open source
  • Commercial

By Deployment Model

  • Cloud-based
  • On-premises

By Application

  • Data warehousing
  • Business intelligence
  • Analytics
  • Machine learning
  • Data migration
  • Data governance

By Industry Vertical

  • BFSI
  • Retail and e-commerce
  • Healthcare
  • IT and telecommunications
  • Manufacturing
  • Government
  • Others

Regional Insights

North America is the largest regional market for data virtualization, followed by Europe and Asia Pacific. The growth of the market in North America is attributed to the early adoption of new technologies and the presence of a large number of key vendors. The growth of the market in Europe is attributed to the increasing demand for data integration and management solutions from various industry verticals. The growth of the market in Asia Pacific is attributed to the rapid digitization of businesses and the growing adoption of cloud computing.

Industry Latest News

  • In September 2023, Denodo Technologies announced the launch of Denodo Platform 9.0, which includes new features for data governance, data quality, and data security.
  • In August 2023, Informatica announced the acquisition of Compact Intelligence, a provider of data governance solutions.
  • In July 2023, IBM announced the launch of the IBM Watson Knowledge Catalog, a data governance solution that uses AI to help organizations manage their data.

Benefits of Data Virtualization

Data virtualization offers a number of benefits, including:

  • Improved data access and governance: Data virtualization provides a single point of access to data from different sources, making it easier for users to find and use the data they need. It also helps organizations to improve their data governance by providing a central view of their data and its usage.
  • Reduced costs and complexity: Data virtualization can help organizations to reduce the costs and complexity of their data management infrastructure. By eliminating the need to physically integrate data, data virtualization can reduce the need for hardware, software, and IT resources.
  • Increased agility and innovation: Data virtualization can help organizations to become more agile and innovative by making it easier to access and use data for new applications. It can also help organizations to reduce the time it takes to develop and deploy new products and services.

Challenges of Data Virtualization

Despite its many benefits, data virtualization also presents a number of challenges, including:

  • Complexity: Data virtualization can be a complex technology to implement and manage. Organizations need to have the necessary skills and expertise to deploy and manage data virtualization solutions effectively.
  • Performance: Data virtualization can impact the performance of data-intensive applications. Organizations need to carefully consider the performance implications of data virtualization before deploying it.
  • Security: Data virtualization can introduce new security risks. Organizations need to implement appropriate security measures to protect their data from unauthorized access and use.

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