Data virtualization is a data integration technology. It incorporates data from numerous formats, sources, and locations, without replicating the information, to form a single ‘virtual’ data layer. The layer provides combined data services to support different users and applications.

Virtual data optimizer is a ready-to-run software package that is designed to add data reduction abilities to the Linux block storage heap. This technology performs aligned at a 4 KB granularity, providing the best possible balance of performance and data reduction rates. Virtual data optimizers utilize data deduplication and inline compression methods to transparently recoil data as it is being written to storage media. Furthermore, in order to reduce the data footprint, virtual data optimizers combine three techniques: data deduplication, zero-block elimination, and data compression. By using these techniques, virtual data optimizers can vividly enhance the productivity for both network bandwidth utilization and storage.

The global virtual data optimizer market is expanding at a rapid pace, mainly due to an increase in demand for cost-efficient data management solutions among enterprises with an aim to manage large amounts of data. Virtual data optimizers enable enterprises to save storage space and reduce cost in terms of solution deployment. This can translate to reduced costs for cloud-based exterior block storage, reduced costs per compute instance, and reduced costs for long-term maintenance of data pictures. Additionally, a rise in the requirement for data deduplication software tools in order to remove duplicate copies of blocks of data that have already been stored is anticipated to boost the demand for virtual data optimizer around the globe.

Rise in demand for cloud-based solutions across major end-use industries, including health care, IT & telecom, and BFSI in order to manage business more efficiently is projected to fuel the market. However, lack of standardization in data optimization processes is likely to hinder the market.

There is an increase in the number of data centers across the world and rise in the adoption of data virtualization solutions in data centers to efficiently manage data. This is primarily because data centers are the major source of generating large amount of data globally. This, in turn, is anticipated to create new opportunities for the growth of the global virtual data optimizer market in the coming years.

The global virtual data optimizer market can be segmented based on component, enterprise size, deployment, industry, and region. In terms of component, the virtual data optimizer market can be bifurcated into solutions and services. The services segment can be further split into professional and managed services. Based on enterprise size, the virtual data optimizer market can be categorized into small and medium enterprises and large enterprises.  In terms of deployment, the virtual data optimizer market can be categorized into cloud-based and on-premise. Based on industry, the global virtual data optimizer market can be classified into retail & e-commerce, media & entertainment, health care, manufacturing, IT & telecom, BFSI, government, and others.

In terms of geography, the virtual data optimizer market can be segmented into South America, North America, Europe, Asia Pacific, and Middle East & Africa. North America is expected to dominate the virtual data optimizer market over the forecast period. The region witness strong adoption of virtual data optimizers due to the presence of a large number of data centers in the region. The virtual data optimizer market in Asia Pacific is anticipated to expand at a significant growth rate during the forecast period. In Asia Pacific, enterprises are highly emphasizing on deploying data management solutions in order to reduce upfront costs, enhance value on projects, and to build an agile information architecture.

Major players operating in the global virtual data optimizer market include Microsoft Corporation, SAP SE, Oracle Corporation, VMware, Inc., International Business Machines (IBM) Corporation, Intel Corporation, Cisco, Inc., Amazon Web Services (AWS), and Red Hat, Inc.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data, and verifiable projections about market size. The projections featured in the report have been derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for every facet of the market, including but not limited to: Regional markets, technology, types, and applications.

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  • Market size
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The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

The report has been compiled through extensive primary research (through interviews, surveys, and observations of seasoned analysts) and secondary research (which entails reputable paid sources, trade journals, and industry body databases). The report also features a complete qualitative and quantitative assessment by analyzing data gathered from industry analysts and market participants across key points in the industry’s value chain.

A separate analysis of prevailing trends in the parent market, macro- and micro-economic indicators, and regulations and mandates is included under the purview of the study. By doing so, the report projects the attractiveness of each major segment over the forecast period.

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  • Important changes in market dynamics
  • Market segmentation up to the second or third level
  • Historical, current, and projected size of the market from the standpoint of both value and volume
  • Reporting and evaluation of recent industry developments
  • Market shares and strategies of key players
  • Emerging niche segments and regional markets
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Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

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The study strives to evaluate the current and future growth prospects, untapped avenues, factors shaping their revenue potential, and demand and consumption patterns in the global market by breaking it into region-wise assessment.

The following regional segments are covered comprehensively:

  • North America
  • Asia Pacific
  • Europe
  • Latin America
  • The Middle East and Africa

The EIRS quadrant framework in the report sums up our wide spectrum of data-driven research and advisory for CXOs to help them make better decisions for their businesses and stay as leaders.

Below is a snapshot of these quadrants.

1. Customer Experience Map

The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

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4. Strategic Frameworks

The study equips businesses and anyone interested in the market to frame broad strategic frameworks. This has become more important than ever, given the current uncertainty due to COVID-19. The study deliberates on consultations to overcome various such past disruptions and foresees new ones to boost the preparedness. The frameworks help businesses plan their strategic alignments for recovery from such disruptive trends. Further, analysts at TMR helps you break down the complex scenario and bring resiliency in uncertain times.

The report sheds light on various aspects and answers pertinent questions on the market. Some of the important ones are:

1. What can be the best investment choices for venturing into new product and service lines?

2. What value propositions should businesses aim at while making new research and development funding?

3. Which regulations will be most helpful for stakeholders to boost their supply chain network?

4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

6. Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?

7. Which government regulations might challenge the status of key regional markets?

8. How will the emerging political and economic scenario affect opportunities in key growth areas?

9. What are some of the value-grab opportunities in various segments?

10. What will be the barrier to entry for new players in the market?

Note: Although care has been taken to maintain the highest levels of accuracy in TMR’s reports, recent market/vendor-specific changes may take time to reflect in the analysis.

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Virtual Data Optimizer Market

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