The global hyper-converged systems market is valued at US$ 12.33 billion in 2023 and is anticipated to surge at a CAGR of 26.5% to reach US$ 129.38 billion by 2033.
The market anticipates a 1.25x growth between 2022 and 2023. Key growth aspect is the increased usage of hyper-converged systems by SMEs to increase their overall business productivity.
The global market is anticipated to experience significant expansion, as hyper-converged solutions offer scalability and cost-effectiveness by lowering the overall hardware requirement in the data center infrastructure. As a result, both capital and operational expenses are decreased.
Virtualization: New Reality Exploring the Market
| Attributes | Details |
|---|---|
| Hyper-converged Systems Market CAGR (2023 to 2033) | 26.5% |
| Hyper-converged Systems Market Size (2023) | US$ 12.33 billion |
| Hyper-converged Systems Market Size (2033) | US$ 129.38 billion |
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From 2018 to 2022, the global hyper-converged systems sector registered significant gains, experiencing an impressive CAGR of 23.1%. The market showed an amazing jump from US$ 4.24 billion in 2018 to US$ 9.83 billion in 2022. The hyper-converged systems technology market accounted for a 15% share of the global software-defined infrastructure (SDI) market in 2021.
| Particulars | Details |
|---|---|
| Jan - Jun (H1), 2021 (A) | 23.5% |
| Jan - Jun (H1), 2022 Projected (P) | 24.5% |
| Jan - Jun (H1), 2022 Outlook (O) | 24.8% |
| BPS: H1, 2022 (O) - H1, 2021 (P) | (+)30↑ |
| BPS: H1, 2022 (O) - H1, 2021 (A) | (+)132↑ |
Companies are increasingly choosing to integrate HCI systems due to the numerous benefits they provide, including easier resource management, cost-effective storage, backup, and recovery, and the agility and security of the private cloud. Hence, increasing the use of software-defined HCI platforms spurs the market for such systems to expand.
Short-term growth (2023 to 2026): The short-term growth is being aided by the rising requirement for scalability and flexibility, as well as the rising demand for integrated IT solutions. The industry is likely to grow at a 2.02x growth rate during this time. By 2026, it is anticipated to reach US$ 25 billion.
Medium-term growth (2027 to 2030): By 2027, the expected market valuation is US$ 31.86 billion, which is likely to reach US$ 66.86 billion by 2030. The rising need for enterprise apps, digital transformation projects, and the shift to the cloud are all contributing to this growth.
Long-term growth (2031 to 2033): The market anticipates a 1.60x growth between 2031 and 2033. The launch of 5G networks, the expansion of IoT usage, and the rising demand for virtualization are anticipated to accelerate growth.
The popularity of hyper-converged devices is owing to their adaptability and scalability. These systems make it possible to combine several IT parts, like servers, storage, and networking, into a single platform. Organizations may scale their IT infrastructure more rapidly and effectively as a result of the decreased operational complexity.
Organizations can more easily move their workloads to the cloud due to the combination of cloud computing with traditional IT infrastructure made possible by hyper-converged systems. As a result, firms are more agile and can react to changes in their business environment more quickly.
Organizations are turning to hyper-converged systems to offer cutting-edge security capabilities, as they grow more conscious of the need to protect their data and systems. Organizations can benefit from the encryption, authentication, and other security protections that hyper-converged systems can offer.
Principal Consultant
Hyper-converged Systems Market:
| Attributes | Hyper-converged Systems Market |
|---|---|
| CAGR (2023 to 2033) | 26.5% |
| Market Value (2033) | US$ 129.38 billion |
| Growth Factor | Increased use of HCI platforms |
| Opportunity | Need for effective infrastructure |
| Key Trends | Surging adoption of cloud technology |
Hyper Converged Infrastructure Market:
| Attributes | Hyper Converged Infrastructure Market |
|---|---|
| CAGR (2023 to 2033) | 24.9% |
| Market Value (2033) | US$ 97.84 billion |
| Growth Factor | Expansion of virtualization technology |
| Opportunity | Surging digital business evolution |
| Key Trends | Growing need for data centers |
Digital Signage System Market:
| Attributes | Digital Signage System Market |
|---|---|
| CAGR (2023 to 2033) | 11.5% |
| Market Value (2033) | US$ 62.03 billion |
| Growth Factor | Rising demand for digital advertising products |
| Opportunity | Increased application in retail business |
| Key Trends | Rising cloud-based signage technologies |
Numerous Vendors Adopting Hyper-Converged Solutions to Fuel Market Expansion in North America
North America is expected to hold the leading share of 30.5% in the global market during the forecast period, due to the presence of various prominent technology vendors in the region.
Rapid developments occurring in the IT sector and increasing demand for hyper-converged solutions from the government and financial sector are key factors that are predicted to ensure the development of the region over the coming years.
| Country | United States |
|---|---|
| Market Value (2023) | US$ 901.8 million |
| Market value (2033) | US$ 6.64 billion |
| Market CAGR (2023 to 2033) | 22.1% |
| Country | Canada |
|---|---|
| Market Value (2023) | US$ 3.74 billion |
| Market value (2033) | US$ 42.13 billion |
| Market CAGR (2023 to 2033) | 27.4% |
Advanced IT Operations to Foster Demand for Hyper-Converged Networks
The market in the United States is developing attributed to increasing demand for hyper-converged networks for training and education, as well as a growing desire to reduce data center footprints.
Other factors boosting market expansion in the United States include rising demand for hyper-converged networks that enhance IT operations. The increased focus on developing wireless connectivity and upgrading the enterprise mobility infrastructure leads to the Y-o-Y growth of around 18.6% between 2022 and 2023.
| Country | China |
|---|---|
| Market Value (2023) | US$ 1.39 billion |
| Market Value (2033) | US$ 24.25 billion |
| Market CAGR (2018 to 2022) | 34.7% |
| Market CAGR (2023 to 2033) | 33.1% |
| Country | India |
|---|---|
| Market Value (2023) | US$ 744.7 million |
| Market Value (2033) | US$ 26.81 billion |
| Market CAGR (2018 to 2022) | 41.4% |
| Market CAGR (2023 to 2033) | 43.1% |
| Country | Japan |
|---|---|
| Market Value (2023) | US$ 321.8 million |
| Market Value (2033) | US$ 1.65 billion |
| Market CAGR (2018 to 2022) | 17.3% |
| Market CAGR (2023 to 2033) | 17.8% |
China is expected to record a high CAGR of 33.1% over the forecast period, owing to the increasing adoption of HCI systems in small- and medium-sized enterprises for the purpose of backup and disaster recovery.
Rapid use of VDI and server virtualization in data centers, expanding the number of data centers, and the growing demand to cut expenditures are likely to propel the demand for HCI systems in China.
In the government, healthcare, BFSI, and telecom & IT industries, hyper-converged systems have been used more frequently in India. It is anticipated that government programs like Made in India and Digital India accelerate the adoption of hyper-converged systems in the nation.
Hyper-converged systems are among the cutting-edge technologies that the government sector is anticipated to employ in order to boost operational effectiveness and service delivery.
The market is expanding as a result of the rising need for data centers, particularly in the banking, financial services, and insurance (BFSI) industry. As a result, the market could expect a CAGR of 36.4% by 2033.
The market is anticipated to benefit from the growing demand for better data storage and management capabilities. The expensive cost of hyper-converged systems and the scarcity of qualified personnel to manage such systems, however, might limit market expansion.
The market is anticipated to continue to expand as a result of the increased emphasis on data center modernization and automation, as well as the rising need for automated and straightforward data center management procedures.
The market is projected to expand with a CAGR of 21.3% by 2033, as a result of the rising need for scalability and flexibility, as well as the growing emphasis on cost efficiency. Additionally, market participants may benefit from the rising popularity of Software-Defined Data Centers (SDDCs) and the Internet of Things (IoT).
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High Flexibility in Data Integration from Multiple Sources to Fuel Demand for Virtualization and VDI
Virtualization and VDI applications are expected to account for a 39.8% share of the hyper-converged systems sector in 2023. It is expected to grow from US$ 4.90 billion in 2023 to US$ 44.20 billion by 2033.
Usage of virtual servers to provide and operate virtual displays is known as virtual desktop infrastructure. VDI stores computer settings on a central system and makes them accessible to target consumers on demand. Virtualization and VDI offer substantial security features since all information is stored in the computer system rather than on the device.
Different modulation, easy accessibility, adaptability, and security and protection are a few benefits of virtualization and VDI. Several companies have significantly invested in hyper-converged appliances, as they allow working professionals to work distantly with in-built virtual desktop infrastructure (VDI) features.
Growing Preference for Data Center Transformation Services to Promote BFSI Industry Expansion
The BFSI sector offers potential growth avenues with a share of 28.6% in 2023. Also, the manufacturing industry is likely to remain the key revenue pocket for the hyper-converged systems business, with an expected valuation of US$ 34.07 billion by 2033.
The BFSI sector is anticipated to register a significant CAGR of 22.1% during the forecast period, due to the increasing adoption of cloud-based systems. An increasese in cybersecurity incidents targeting enterprise systems and a growing need to simplify the adoption of modern workloads could lead to an expected value of US$ 3.52 billion in 2023.
Hyper-converged systems tick all critical boxes in the banking, financial services, and insurance (BFSI) industry, such as reducing time in managing infrastructure, as well as ensuring scalability of infrastructure, availability of critical workloads, and disaster recovery (DR). In addition, these systems solve the issue of single-vendor networking infrastructure, as well as reduce operating costs at scale.
Top Companies Are Actively Competing to Maintain their Market Share
The growing need for modernizing data centers with hyper-converged infrastructure systems to speed up business growth supports the market for these systems. In 2020, Dell EMC, Nutanix, VMware, and HPE had a substantial share of the hyper-converged infrastructure market.
With a market share of 38.9%, Dell EMC leads all other providers, followed by Nutanix (19.8%), VMware (16.3%), and HPE (15.3%). The combined market shares of other manufacturers, such as Cisco and Lenovo, is about 10%.
Businesses are leaving siloed storage, server, and networking solutions in favor of hyper-converged infrastructure, which is altering the modern data center and technology market, according to recent market breakthroughs.
Leading providers of hyper-converged systems are focusing on research and development activities to explore potential growth avenues. In addition, market participants are increasingly investing in product marketing strategies to reach a broader customer base and increase their worth in the hyper-converged systems market.
Recent Developments
The market is valued to attain US$ 129.38 billion by 2033.
The market is forecast to register a CAGR of 26.5% through 2033.
The market is estimated to secure a valuation of US$ 12.33 billion in 2023.
During 2018 to 2022, the market grew at a CAGR of 23.1 %.
North America is expected to sustain a 30.5% share of the global market.
In 2023, virtualization and VDI applications are poised to account for 39.8% of the market.
1. Executive Summary | Hyper-Converged Systems Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Component, 2018 to 2022 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component, 2023 to 2033 5.3.1. Hardware 5.3.2. Software 5.3.3. Services 5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033 6.3.1. Large Enterprises 6.3.2. Small and Medium-sized Enterprises 6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Application , 2018 to 2022 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application , 2023 to 2033 7.3.1. Virtualization and VDI 7.3.2. Data Centre Consolidation 7.3.3. Remote Offices / Branch Offices 7.3.4. Others 7.4. Y-o-Y Growth Trend Analysis By Application , 2018 to 2022 7.5. Absolute $ Opportunity Analysis By Application , 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End User 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By End User, 2018 to 2022 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End User, 2023 to 2033 8.3.1. BFSI 8.3.2. Government 8.3.3. IT and Telecom 8.3.4. Healthcare 8.3.5. Energy and Utilities 8.3.6. Manufacturing 8.3.7. Others 8.4. Y-o-Y Growth Trend Analysis By End User, 2018 to 2022 8.5. Absolute $ Opportunity Analysis By End User, 2023 to 2033 9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 9.1. Introduction 9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022 9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. South Asia 9.3.5. East Asia 9.3.6. Oceania 9.3.7. MEA 9.4. Market Attractiveness Analysis By Region 10. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. USA 10.2.1.2. Canada 10.2.2. By Component 10.2.3. By Enterprise Size 10.2.4. By Application 10.2.5. By End User 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Component 10.3.3. By Enterprise Size 10.3.4. By Application 10.3.5. By End User 10.4. Key Takeaways 11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Brazil 11.2.1.2. Mexico 11.2.1.3. Rest of Latin America 11.2.2. By Component 11.2.3. By Enterprise Size 11.2.4. By Application 11.2.5. By End User 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Component 11.3.3. By Enterprise Size 11.3.4. By Application 11.3.5. By End User 11.4. Key Takeaways 12. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Germany 12.2.1.2. United Kingdom 12.2.1.3. France 12.2.1.4. Spain 12.2.1.5. Italy 12.2.1.6. Rest of Europe 12.2.2. By Component 12.2.3. By Enterprise Size 12.2.4. By Application 12.2.5. By End User 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Component 12.3.3. By Enterprise Size 12.3.4. By Application 12.3.5. By End User 12.4. Key Takeaways 13. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Malaysia 13.2.1.3. Singapore 13.2.1.4. Thailand 13.2.1.5. Rest of South Asia 13.2.2. By Component 13.2.3. By Enterprise Size 13.2.4. By Application 13.2.5. By End User 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Component 13.3.3. By Enterprise Size 13.3.4. By Application 13.3.5. By End User 13.4. Key Takeaways 14. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 14.2.1. By Country 14.2.1.1. China 14.2.1.2. Japan 14.2.1.3. South Korea 14.2.2. By Component 14.2.3. By Enterprise Size 14.2.4. By Application 14.2.5. By End User 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Component 14.3.3. By Enterprise Size 14.3.4. By Application 14.3.5. By End User 14.4. Key Takeaways 15. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. Australia 15.2.1.2. New Zealand 15.2.2. By Component 15.2.3. By Enterprise Size 15.2.4. By Application 15.2.5. By End User 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Component 15.3.3. By Enterprise Size 15.3.4. By Application 15.3.5. By End User 15.4. Key Takeaways 16. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Component 16.2.3. By Enterprise Size 16.2.4. By Application 16.2.5. By End User 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Component 16.3.3. By Enterprise Size 16.3.4. By Application 16.3.5. By End User 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. USA 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2022 17.1.2.1. By Component 17.1.2.2. By Enterprise Size 17.1.2.3. By Application 17.1.2.4. By End User 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2022 17.2.2.1. By Component 17.2.2.2. By Enterprise Size 17.2.2.3. By Application 17.2.2.4. By End User 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2022 17.3.2.1. By Component 17.3.2.2. By Enterprise Size 17.3.2.3. By Application 17.3.2.4. By End User 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2022 17.4.2.1. By Component 17.4.2.2. By Enterprise Size 17.4.2.3. By Application 17.4.2.4. By End User 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2022 17.5.2.1. By Component 17.5.2.2. By Enterprise Size 17.5.2.3. By Application 17.5.2.4. By End User 17.6. United Kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2022 17.6.2.1. By Component 17.6.2.2. By Enterprise Size 17.6.2.3. By Application 17.6.2.4. By End User 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2022 17.7.2.1. By Component 17.7.2.2. By Enterprise Size 17.7.2.3. By Application 17.7.2.4. By End User 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2022 17.8.2.1. By Component 17.8.2.2. By Enterprise Size 17.8.2.3. By Application 17.8.2.4. By End User 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2022 17.9.2.1. By Component 17.9.2.2. By Enterprise Size 17.9.2.3. By Application 17.9.2.4. By End User 17.10. India 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2022 17.10.2.1. By Component 17.10.2.2. By Enterprise Size 17.10.2.3. By Application 17.10.2.4. By End User 17.11. Malaysia 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2022 17.11.2.1. By Component 17.11.2.2. By Enterprise Size 17.11.2.3. By Application 17.11.2.4. By End User 17.12. Singapore 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2022 17.12.2.1. By Component 17.12.2.2. By Enterprise Size 17.12.2.3. By Application 17.12.2.4. By End User 17.13. Thailand 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2022 17.13.2.1. By Component 17.13.2.2. By Enterprise Size 17.13.2.3. By Application 17.13.2.4. By End User 17.14. China 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2022 17.14.2.1. By Component 17.14.2.2. By Enterprise Size 17.14.2.3. By Application 17.14.2.4. By End User 17.15. Japan 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2022 17.15.2.1. By Component 17.15.2.2. By Enterprise Size 17.15.2.3. By Application 17.15.2.4. By End User 17.16. South Korea 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2022 17.16.2.1. By Component 17.16.2.2. By Enterprise Size 17.16.2.3. By Application 17.16.2.4. By End User 17.17. Australia 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2022 17.17.2.1. By Component 17.17.2.2. By Enterprise Size 17.17.2.3. By Application 17.17.2.4. By End User 17.18. New Zealand 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2022 17.18.2.1. By Component 17.18.2.2. By Enterprise Size 17.18.2.3. By Application 17.18.2.4. By End User 17.19. GCC Countries 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2022 17.19.2.1. By Component 17.19.2.2. By Enterprise Size 17.19.2.3. By Application 17.19.2.4. By End User 17.20. South Africa 17.20.1. Pricing Analysis 17.20.2. Market Share Analysis, 2022 17.20.2.1. By Component 17.20.2.2. By Enterprise Size 17.20.2.3. By Application 17.20.2.4. By End User 17.21. Israel 17.21.1. Pricing Analysis 17.21.2. Market Share Analysis, 2022 17.21.2.1. By Component 17.21.2.2. By Enterprise Size 17.21.2.3. By Application 17.21.2.4. By End User 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Component 18.3.3. By Enterprise Size 18.3.4. By Application 18.3.5. By End User 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. Nutanix 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. Cisco Systems 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. HPE 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Huawei 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. NetApp 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. VMware 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Pivot3 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Scale Computing 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Startoscale 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. DataCore 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. Maxta 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. HiveIO 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 19.1.13. Supermicro 19.1.13.1. Overview 19.1.13.2. Product Portfolio 19.1.13.3. Profitability by Market Segments 19.1.13.4. Sales Footprint 19.1.13.5. Strategy Overview 19.1.13.5.1. Marketing Strategy 19.1.14. Diamanti 19.1.14.1. Overview 19.1.14.2. Product Portfolio 19.1.14.3. Profitability by Market Segments 19.1.14.4. Sales Footprint 19.1.14.5. Strategy Overview 19.1.14.5.1. Marketing Strategy 19.1.15. Sangfor Technologies 19.1.15.1. Overview 19.1.15.2. Product Portfolio 19.1.15.3. Profitability by Market Segments 19.1.15.4. Sales Footprint 19.1.15.5. Strategy Overview 19.1.15.5.1. Marketing Strategy 19.1.16. StorMagic 19.1.16.1. Overview 19.1.16.2. Product Portfolio 19.1.16.3. Profitability by Market Segments 19.1.16.4. Sales Footprint 19.1.16.5. Strategy Overview 19.1.16.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Hyper-Converged Systems Market
