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Market Size in USD Billion
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USD 7,508.68 Billion |
| USD 305,178.95 Billion | |
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Asia-Pacific Hyper-Converged Infrastructure Market, By Component (Hardware, Software, Services), Hypervisor Type (VMware, Kernel-based Virtual Machine (KVM), and Hyper-V), Organization Size (Medium and Small Sized Enterprises and Large Enterprises), Application (Virtualizing Critical Applications, Data Centre Consolidation, Data Protection, Cloud Computing, Virtual Desktop Infrastructure (VDI), Remote Office Branch Office (ROBO)), Deployment Mode (Private Cloud, Public Cloud, Hybrid Cloud), End User (Banking, Financial Services, and Insurance (BFSI), IT and Telecom, Government, Healthcare and Life Science, Retail, Power and Energy, Manufacturing, Oil and Gas, Mining, Education, Transportation and Logistics and Media and Entertainment) – Industry Trends and Forecast to 2030.
Recently, the growing demand for hyper-converged infrastructure to achieve higher automation, scalability, and deeper abstraction compared to the converged infrastructure represents one of the major factors influencing the targeted market positively. Also, the increasing use of hyper-converged infrastructure to manage important business applications and run numerous workloads, such as virtual desktop infrastructure, database software, collaboration applications, analytics, testing environments, and remote management, is enhancing market growth.
Data Bridge Market Research analyses that the hyper-converged infrastructure market is expected to reach USD 305,178.95 by 2030, which is USD 7,508.68 million in 2022, at a CAGR of 58.90% during the forecast period. In addition to the market insights such as market value, growth rate, market segments, geographical coverage, market players, and market scenario, the market report curated by the Data Bridge Market Research team includes in-depth expert analysis, import/export analysis, pricing analysis, production consumption analysis, and pestle analysis.
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021 (Customizable to 2015 - 2020)
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Quantitative Units
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Revenue in USD Million, Volumes in Units, Pricing in USD
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Segments Covered
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Component (Hardware, Software, Services), Hypervisor Type (VMware, Kernel-based Virtual Machine (KVM), and Hyper-V), Organization Size (Medium and Small Sized Enterprises and Large Enterprises), Application (Virtualizing Critical Applications, Data Centre Consolidation, Data Protection, Cloud Computing, Virtual Desktop Infrastructure (VDI), Remote Office Branch Office (ROBO)), Deployment Mode (Private Cloud, Public Cloud and Hybrid Cloud), End User (Banking, Financial Services, and Insurance (BFSI), IT and Telecom, Government, Healthcare and Life Science, Retail, Power and Energy, Manufacturing, Oil and Gas, Mining, Education, Transportation and Logistics and Media and Entertainment)
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Countries Covered
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China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC)
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Market Players Covered
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Hitachi Vantara LLC (U.S.), NEC Corporation (Japan), Riverbed Technology (U.S.), Cisco Systems, Inc.(U.S.), VMware, Inc. (U.S.), Hewlett Packard Enterprise Development LP (U.S.), Dell Inc (U.S.), Huawei Technologies Co., Ltd.(China), FUJITSU (Japan), IBM (U.S.), Nutanix (U.S.), Microsoft (U.S.), NetApp (U.S.), Quantum Corporation (U.S.), Scale Computing (U.S.), DataCore Software (U.S.), Maxta (U.S.), SANGFOR TECHNOLOGIES (China)
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Market Opportunities
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Market Definition
Hyper-converged infrastructure is a software-associated architecture incorporating storage, virtualization, and computing resources in a single system comprising x86 hardware. It includes numerous nodes or servers wherein the software is running to distribute several operating functions through the cluster for enhancing resilience and improving performance. It associates commodity data center server hardware with connected storage devices, such as flash and disks, and is driven by distributed software to remove common problems associated with legacy infrastructure.
Drivers
Organizations need storage performance that is fast and reliable. Hyper-converged infrastructure (HCI) offers safe and secure infrastructure. Hyper-Converged infrastructure consolidates resources, streamlines management, and lowers costs by integrating networking and computation into a single system. These advantages have led to the augmented adoption of hyper-converged infrastructure in many enterprises. As a result, the demand for hyper-converged infrastructure increases, likely enhancing market growth.
Automation and machine learning are now regarded as efficiency promoters for businesses that employ them to handle massive amounts of data and increase application performance. AI optimizes application workloads, handles workload demands, and optimizes hyper-converged infrastructure storage. For instance, as per the 2021 report of the Artificial Intelligence Index, last year, the global total corporate investment in artificial intelligence (AI) reached nearly USD 94 billion, a significant growth from last year's investment of USD 67.85 billion. Such growth in AI investment will drive the growth of the market.
Opportunities
The growing adoption of hyper-converged infrastructure in small and medium-sized enterprises is expected to create lucrative opportunities for market growth. Small and medium-sized enterprises are trying to implement digital transformation in their industries, which can generate demand in the coming period. For instance, as per the article published by SME Magazine Asia in 2018, only 57% of SME leaders in Singapore are conscious of digital transformation and planning to adopt it.
The increasing acceptance of cloud platforms for businesses, mainly in developing countries, is expected to increase hyper-converged infrastructure market growth in Asia-Pacific. For instance, in 2020, as per the Nutanix Cloud Index 2018, India will observe triple growth in adopting hybrid cloud workloads from 13 percent to 43 percent. The increasing adoption of digital technology for customer engagement is growing the company's focus on business expansion and developing new products.
Restraints
High costs of hyper-converged infrastructure in developing countries are expected to hamper the market growth. Several factors of high hyper-converged infrastructure costs include networking licensing, storage, and CPU types. As a result of all these factors hinders the market growth during the forecast period.
Growing limitations on hyper-converged infrastructure standards are expected to obstruct the market's growth during the forecast period. For instance, problems with cloud compatibility and scalability can create significant problems for organizations or enterprises that want to deploy hyper-converged infrastructure systems.
This hyper-converged infrastructure market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the hyper-converged infrastructure market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Developments
The hyper-converged infrastructure market is segmented on the basis of component, hypervisor type, organization size, application, deployment mode and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Component
Hypervisor Type
Organization Size
Application
Deployment Mode
End User
The hyper-converged infrastructure market is analyzed and market size insights and trends are provided by country, component, hypervisor type, organization size, application, deployment mode, and end user as referenced above.
The countries covered in the hyper-converged infrastructure market report are China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC).
China dominates the hyper-converged infrastructure market owing to the strong establishment of new competitors and increasing research and development expenditure in this region. Furthermore, increasing adaptation of hyper-converged infrastructure by IT, telecom, and banking industries will further boost the market growth in this region.
The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
The hyper-converged infrastructure market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to hyper-converged infrastructure market.
Some of the major players operating in the hyper-converged infrastructure market are:
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Data collection and base year analysis are done using data collection modules with large sample sizes. The stage includes obtaining market information or related data through various sources and strategies. It includes examining and planning all the data acquired from the past in advance. It likewise envelops the examination of information inconsistencies seen across different information sources. The market data is analysed and estimated using market statistical and coherent models. Also, market share analysis and key trend analysis are the major success factors in the market report. To know more, please request an analyst call or drop down your inquiry.
The key research methodology used by DBMR research team is data triangulation which involves data mining, analysis of the impact of data variables on the market and primary (industry expert) validation. Data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Patent Analysis, Pricing Analysis, Company Market Share Analysis, Standards of Measurement, Global versus Regional and Vendor Share Analysis. To know more about the research methodology, drop in an inquiry to speak to our industry experts.
Data Bridge Market Research is a leader in advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customized to include price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), clinical trial results data, literature review, refurbished market and product base analysis. Market analysis of target competitors can be analyzed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Fact book) or can assist you in creating presentations from the data sets available in the report.