Business resilience and cost optimization have emerged as key influencers of IT investment decisions and virtualized data center architecture in cloud, especially, Infrastructure as a service (IaaS), are developed to enable both.
The COVID-19 pandemic has spurred adoption of cloud data virtualization solutions with both digital service providers and conventional IT organizations scaling up usage of IaaS for technology platforms. By 2030, deployment of data virtualization cloud solutions will value around US$ 5.6 Bn.
Multi-cloud Model Gaining Adoption
Multi-cloud deployment models will become preferable IT foundation for more businesses as they strive to become more robust to keep pace with digital disruption.
Despite carrying the benefit of application portability, majority of multi-cloud deployment models are highly focused on acquirement, risk mitigation, and functionality compared to portability.
AI and ML in Data Virtualization Cloud - An Emerging Trend
Artificial intelligence (AI) will transform the way businesses operate as well as the way people work, which will help to liberate creativity and potential. In addition, AI and machine learning (ML) will increase labor efficiency, make chatbots smarter and marketing wiser.
As AI becomes a company repertoire, companies will need cloud services that provide ML offerings. However, applying AI to data preparation in data virtualization is still in its early days and is tougher than applying it in more generalized use cases, as training data sets is more restricted.
That said, the trend will change as innovative AI techniques such as generative adversarial networks and deep reinforcement learning decrease the amount of training data needed. As such, more extensive application of ML to data virtualization in cloud computing will emerge in immediate future.
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North America Data Virtualization Cloud Market
North America currently spearheads the global data virtualization in cloud computing market. Over half of revenue of leading IaaS public cloud service providers such as Microsoft Corporation, and Google LLC comes from the US.
Hyper-scale worldwide public cloud giants will create more collaborations while refocusing on key strengths, crowded cloud-centric development environment will provide server-less computing and service meshes, and cloud models companies will shift their focus towards security after well-publicized public cloud data breach.
Such broad factors will drive the data virtualization cloud market in North America. FMI further underlines that the market in the US is generating revenues nearly 5X compared to that of Canada.
Europe Data Virtualization Cloud Market
Conducive regulatory environment in Europe is underpinning data virtualization cloud market in the region.
Driven by government regulations, 80% of businesses in the UK are required to back up their data for certain period of time. Some European Union (EU) initiatives such as GAIA-X and GDPR, along with "cloud tax" in France, are offering huge impetus for European enterprises to store data locally.
Such trends are likely to propel the adoption of data virtualization cloud solutions in Europe, especially in Germany, which holds about 45% of regional market revenue. Apart from Germany, France and the UK capture double-digit revenue share.
East Asia Data Virtualization Cloud Market
Data virtualization cloud market in East Asia will be driven majorly by small- and medium-sized enterprises (SME) as they seek cloud services and products with high cost-efficiency, given their limited IT budget.
With technologies contributing significantly to strategic initiatives driving enterprise innovation and cost-effective synergies among businesses, public cloud services will be key revenue generator of data virtualization cloud market in East Asia.
In a similar vein, with North America and Europe, data virtualization cloud market will see explosive growth in East Asia, despite lagging in terms of revenue. While China remains a key market, Japan and South Korea collectively account for nearly 40% share.
FMI’s report has analyzed data virtualization cloud market in 20+ countries across North America, Europe, South Asia and Pacific, Latin America, East Asia, and Middle East & Africa. Request a regional/country-wise sample.
Standalone software is integral for companies having strong focus on all specific domains such as HR, or finance. These solutions help leverage every core and more advanced functionalities that all domains require while staving off the fear of getting lost in additional unnecessary data from other departments.
Procuring almost 50% of total market stack, standalone software will be key component in virtualized data center architecture in cloud.
With various tech giants and start-ups bringing up business intelligence (BI) tools, BI continues to march into every industry going from ‘nice-to-have’ to ‘absolute-must-have’.
Key benefit of data virtualization cloud solutions in BI tools is streamlining of existing ecosystems; with virtualized framework, business intelligence and analytics ecosystems become more robust and easier to manage.
Capturing slightly over half of overall data virtualization cloud market revenue, business intelligence tools will remain primary data consumer, says FMI’s report.
Among various deployment models, public data virtualization cloud solutions continue to define stakeholders’ bottom lines. According to a survey, 31% of enterprises depend on the public cloud, as relatively cost-effective compared to private and hybrid models.
Shifting to public cloud models offers enterprises a way to cut down IT operations expenses. Subsequently, several small and medium sized businesses (SMB) are leveraging public cloud services to outsource certain aspects of cyber security to larger provider with better resources.
FMI reveals that 6 out 10 companies will rely on public data virtualization cloud solutions over decade ahead.
Cloud innovation is rapidly becoming core driver in worldwide digital disruption and is increasingly gaining more persuasiveness with BFSI industry. As financial service customers move from on-premise to cloud ecosystems, costs shift from capital expenses (CAPEX) to operational expenses (OPEX).
Cost savings of public data virtualization cloud solutions are noteworthy, particularly owing to drop in initial CAPEX requirements for conventional IT infrastructure. As per a study, moving back-office operations to cloud-based solution enables financial institutions to attain savings of about 30-40%.
Accounting for about a third of total market value, BFSI industry will remain key end user of data virtualization cloud solutions through 2030.
Data Virtualization Cloud Market Companies and Competitive Intelligence
With the colossal volume of data generated every day, organizations are turning to data virtualization cloud solutions. As such, in order to reach a larger customer base, service providers are equipping data virtualization cloud solutions with distinct features that effectively serve end-user needs.
IBM Corporation has made advancements in new version of Cloud Pak for Data Virtualization. The updated versions provide support for Red Hat OpenShift Container Storage and Red Hat® OpenShift® Container Platform (Version 4.3) to enable customers deploy their applications on scalable and secure resources. In addition, Cloud Pak for Data Virtualization features various new services, improved auditing capabilities, and several updates to legacy services.
Denodo has developed data virtualization cloud provides multi-location architecture deployment of its Denodo Platform on public clouds such as Microsoft Azure, Amazon Web Services (AWS) Cloud, and Google Cloud Platform (GCP), hybrid cloud and private cloud ecosystems without compromising security, performance, and governance. The solution has been especially developed to offer location transparency, reducing cost-intensive movement of data across multi-cloud or hybrid cloud ecosystems.
Informatica has designed its data virtualization solution – PowerCenter – that focuses on enterprises that need innovative data conversion capabilities. The solution allows customers to test and audit converted data without the need to jot down code. In addition, PowerCenter supports various add-on packages such as B2B Data Exchange, Data Integration Hub, and PowerExchange for Cloud Applications.
In addition to these, some other key players in data virtualization cloud market include
- Oracle Corporation
- Tibco Software
- Microsoft Corporation
Data Virtualization Cloud Market Report: Scope
- Forecast Period - 2020-2030
- Historical Data Available for -2015-2019
- Market Analysis - USD Million for value
- Key Regions Covered -North America, Latin America, Europe. South Asia and Pacific, East Asia, and Middle East & Africa (MEA)
- Key Countries Covered -US, Canada, Brazil, Mexico, Germany, UK, France, Italy, Spain, BENELUX, China, Japan, South Korea, India, ASEAN, Australia, New Zealand, GCC Countries, Turkey, Northern Africa, Israel, South Africa
- Key Segments Covered -Component, Data Consumer, Deployment Model, End-use Industry, and Region
- Key Companies Profiled-IBM Corporation, Denodo, Informatica, Oracle Corporation, SAP, Tibco Software, Microsoft Corporation, Datometry, VMware (only indicative list)
- Report Coverage- Market Forecast, brand share analysis, competition intelligence, DROT analysis, Market Dynamics and Challenges, Strategic Growth Initiatives
- Customization & Pricing - Available upon Request
Key Questions Answered by the Report
What is the data virtualization cloud market size?
The global data virtualization cloud market size will reach about US$ 5.6 Bn in 2030. The growth rate for data virtualization cloud market will be 25.2% CAGR during 2020-2030.
Which is the largest market for cloud virtualization big data?
North America represents the largest market for data virtualization cloud, globally, followed by Europe, given well-established technology space and strong foothold of technology pioneers.
Which are the top companies in global data virtualization cloud market?
IBM Corporation, Denodo, Informatica, Oracle Corporation, and SAP are among the prominent players in data virtualization cloud market.
In which deployment models are data virtualization cloud solutions available?
Companies generally offer data virtualization cloud solutions in four deployment models - public cloud, private cloud, hybrid cloud and multi-cloud. While demand for public cloud models is currently high, hybrid cloud models will pick momentum in coming years.
What is the outlook of East Asia data virtualization cloud market?
Data virtualization cloud solutions in East Asia are seeing rapid demand growth, owing to accelerated adoption as well as surging investments in tech-forward infrastructure.
Which end-use industry are data virtualization cloud solutions available?
At present, the BFSI industry is generating substantial total returns to shareholders. However, market players will hurt their revenue pool if they do focus on IT and telecom, and healthcare industries.
What are the uses of data virtualization cloud solutions?
Cloud-based virtual data solutions provide common platform where data consumers can access huge chunks of data in appropriate format, regardless of server and source location.
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Yes, the data virtualization cloud market research has been conducted by expert analysts of Future Market Insights through a combination of primary research and secondary research. To know more about how the research was conducted, you can speak to research analyst
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- Standalone Software
- Data Integration Tools
- Application Tool Solution
- Business Intelligence Tools
- Enterprise Applications
- Mobile and Web Applications
- Public Cloud
- Hybrid Cloud
- Private Cloud
- IT and Telecom
- Retail and e-Commerce
- Government and Defense
- North America (US, Canada)
- Latin America (Brazil, Mexico)
- Europe (Germany, UK, Russia, France, Italy)
- South Asia & Pacific (India, ASEAN, and Oceania)
- East Asia (China, Japan, and South Korea)
- Middle East & Africa (MEA) (Turkey, GCC Countries, and South Africa)