The global flash-based arrays market size is anticipated to broaden at a CAGR of 17.8% in the review period 2023 to 2033. The market is expected to reach US$ 76.2 billion by 2023.
The global flash-based arrays market is likely to top a valuation of US$ 391.0 billion by 2033. It is estimated to formulate a definite financial opening worth US$ 314.8 billion in the assessment period.
| Attributes | Key Insights |
|---|---|
| Flash-based Arrays Market Estimated Size (2023E) | US$ 76.2 billion |
| Projected Flash-based Arrays Market Size (2033F) | US$ 391.0 billion |
| Value-based Flash-based Arrays Market CAGR (2023 to 2033) | 17.8% |
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Video Streaming Platforms to Create Growth Avenues in Asia Pacific
In Asia Pacific, content delivery and video streaming are expected to augment the flash-based arrays market. Content delivery networks (CDNs) and video streaming platforms often handle huge data traffic, such as images and video files.
Ability of flash-based arrays to provide high input/output (I/O) performance to allow quick delivery and access of content to users with low latency might drive demand. These are expected to result in faster content loading times and smoother streaming. Both these factors are likely to ensure user satisfaction and retain subscribers.
For instance, the Interactive Advertising Bureau (IAB) stated that in 2018, Asia Pacific was estimated to experience a 35% global OTT subscriber growth rate record. About 1.6 hours of online video are currently watched daily by 64% of internet users in the region.
Gaming Industry to Speed Up Sales of Flash-based Arrays across North America
The gaming industry is expected to rise quickly across North America through 2033. Fast loading times might be a significant factor for gamers as they need a seamless and immersive experience. Ability of flash-based arrays to reduce the loading time of environments, models, and textures is anticipated to drive demand.
Low-latency storage is set to be another concern for gamers in the region, which gives rise to real-time response. Players, for instance, would require minimal lag and quick access to data in online multiplayer games to allow for competitive & fair gameplay. Flash-based arrays are anticipated to help ensure a top-notch gaming experience by lowering latency.
In August 2022, Netflix and Immersive Gamebox created a new multiplayer game called Squid Game in the United States. It was inspired by the extremely hit TV series from South Korea. The real-life multiplayer game features games like ‘Glass Bridge’ and ‘Red Light, Green Light.’ Launch of similar other games in the region might propel sales.
The global flash-based arrays market expanded at an astonishing CAGR of 21.8% in the historical period from 2018 to 2022. It is anticipated to witness a CAGR of 17.8% from 2023 to 2033. The market stood at US$ 63.1 billion in 2022.
| Historical Flash-based Arrays Market CAGR (2018 to 2022) | 21.8% |
|---|---|
| Historical Market Value (2022) | US$ 63.1 billion |
Increasing digitization across several companies worldwide is anticipated to help innovate their IT operations and infrastructures. Demand for low-latency and high-speed storage solutions, including flash-based arrays, are expected to rise in these companies. This is attributed to surging adoption of the Internet of things, data analytics, and cloud computing.
Emergence of edge computing is another crucial factor estimated to push flash-based array demand by 2033. Edge computing often requires highly efficient storage solutions. Flash-based arrays might deliver high performance, making them ideal for distributed environments.
Rapid expansion of virtual desktop infrastructure (VDI) and remote work solutions worldwide might further augment growth. These solutions are projected to support the need for high-performance storage solutions. Hence, companies might use flash-based arrays to enable remote employees to gain access to virtual desktops with quick load times and low latency.
Several healthcare firms and hospitals are expected to adopt medical imaging tools and digital health records through 2033. These systems often generate a vast amount of data. Hence, evaluating the information manually might not be feasible for healthcare professionals. Flash-based arrays are set to enhance patient care by offering high-resolution medical images and quick access to patient records.
Strict compliance requirements and data governance are anticipated to increase investments in high-performance & safe storage solutions. General Data Protection Regulation (GDPR), for instance, controls the transfer of personal information outside the European Economic Area and European Union. Such norms are set to push flash-based array sales as they help to comply with government norms.
Principal Consultant
The table below provides the latest trends observed in the flash-based arrays market, growth obstacles, and upcoming opportunities. Global strategy for flash-based arrays market would enable stakeholders to invest in the right area and gain profit.
| Attributes | Key Factors |
|---|---|
| Latest Trends |
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| Upcoming Opportunities |
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| Challenges |
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The below table explains the flash-based arrays market size of the top 5 countries in the market. Global forecast of flash-based arrays industry by country states that China is anticipated to remain at the forefront by topping a size of US$ 73.5 billion by 2033.
The United States might reach US$ 66.5 billion in 2033. Japan is expected to follow China and the United States to create a moderate flash-based array demand worth US$ 53.2 billion.
| Country | Market Value (2033) |
|---|---|
| United States | US$ 66.5 billion |
| United Kingdom | US$ 12.5 billion |
| China | US$ 73.5 billion |
| Japan | US$ 53.2 billion |
| South Korea | US$ 16.6 billion |
In the below table of the global opportunity for flash-based arrays, CAGRs of the top 5 countries are provided. Out of the 5, the United States and China are likely to remain in the leading positions by exhibiting the same CAGR of 17.7% from 2023 to 2033. Followed by these, Japan and the United Kingdom are expected to witness flash-based array sales at CAGRs of 17.6% and 17.5%, respectively.
| Country | Value-based CAGR (2023 to 2033) |
|---|---|
| United States | 17.7% |
| United Kingdom | 17.5% |
| China | 17.7% |
| Japan | 17.6% |
| South Korea | 17.3% |
The United States is anticipated to construct a specific profit potential of US$ 53.5 billion from 2023 to 2033. It expanded at a CAGR of 21.6% from 2018 to 2022 in the flash-based arrays market.
Flash-based array demand is likely to skyrocket in the United States in a highly competitive business environment. Increasing focus on innovation and technology is expected to compel organizations to adopt flash-based arrays to compete with their rivals.
The United States is also home to several sectors, such as technology, healthcare, and finance, that are mainly dependent on data. These industries often need to process vast data volumes in real-time and require high-performance storage systems. Flash-based arrays are projected to be an ideal part of these organizations to help them make data-driven decisions.
The United Kingdom is likely to generate a tangible financial prospect of US$ 10.1 billion in the review period. It grew at a CAGR of 21.1% in the historical period in the flash-based arrays market.
The United Kingdom has a well-established financial services sector. London, for instance, mainly relies on low latency and fast data access to initiate real-time risk analysis, manage trading systems, and conduct financial transactions.
Ability of flash-based arrays to refine competitiveness and operational efficiency is expected to bolster their demand in the financial sector. Ongoing expansion of online retail and e-commerce platforms is another significant factor pushing demand in the United Kingdom. These arrays help online retailers to improve customer experiences.
China is projected to develop a concrete monetary potential worth US$ 59.0 billion from 2023 to 2033. It registered a considerable CAGR of 21.5% in the historical period in the flash-based arrays market.
Technological advancements and ongoing economic growth are a couple of leading factors accelerating the market in China. These have resulted in increasing digitization and data generation efforts.
Companies based in China are likely to adopt flash-based arrays to cater to the unmet needs of cloud computing, artificial intelligence, and big data analytics. Government agencies in the country might further invest in technological innovations to foster the use of flash storage equipment.
Japan is expected to create a measurable financial benefit of US$ 42.7 billion in the assessment period. It recorded a steady CAGR of 21.4% in the historical period in the flash-based arrays market.
Industrial and manufacturing sectors in Japan are likely to be the prominent consumers of flash-based arrays. Japan-based organizations are set to invest in automation and precision manufacturing. This might make them depend mainly on high-speed data storage and access.
Leading companies in the country are anticipated to use data storage solutions for robotics, supply chain management, and quality control. They are projected to enhance the reliability and efficiency of these arrays in their production processes.
South Korea is estimated to formulate a definite financial opening worth US$ 13.3 billion by 2033. Between 2018 and 2022, the country propelled at 20.8% CAGR in the flash-based arrays market.
South Korea houses several renowned technology giants such as LG and Samsung. The country is set to be at the forefront of technological advancements in semiconductor and consumer electronics manufacturing.
Companies in South Korea are anticipated to broaden their presence, thereby relying on flash-based arrays. These are set to help them to produce unique consumer electronics, initiate semiconductor fabrication, and conduct research & development. These are likely to offer high reliability to handle massive data networks and complex designs.
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The table below highlights global demand for flash-based arrays by product type. Under product type, the hybrid flash arrays segment, while smaller, is set to showcase a significant CAGR of 17.6% through 2033. It is expected to be followed by the all-flash arrays segment.
| Category | Product Type |
|---|---|
| Sub-category | Hybrid Flash Arrays |
| Value-based CAGR (2023 to 2033) | 17.6% |
Regarding product type, the hybrid flash arrays segment is estimated to witness a CAGR of 17.6% by 2033 in the flash-based arrays market. It expanded at a CAGR of 21.6% during the historical period.
Cost-effectiveness is one of the most critical factors pushing hybrid flash-based array sales worldwide. Conventional hard disk and flash drives are conveniently blended into a hybrid flash array.
It is anticipated to provide companies with high performance and speed for accessing data consistently. This might further allow for the adoption of budget-friendly hard disk drives to create a balance between cost and performance.
Traditional hard disk drives are much slower than solid-state drives. However, incorporating flash storage options in hybrid arrays might accelerate system performance. It is expected to lead further to faster write and read speeds with the presence of a flash tier.
The table below highlights the global demand for flash-based arrays by organization size. Under organization size, the large enterprise segment, while smaller, is set to showcase a significant CAGR of 17.4% through 2033. It is expected to be followed by the SME segment.
| Category | Organization Size |
|---|---|
| Sub-category | Large Enterprises |
| Value-based CAGR (2023 to 2033) | 17.4% |
Based on organization size, the large enterprises segment is expected to witness a CAGR of 17.4% from 2023 to 2033 in the flash-based arrays market. It showcased a considerable growth at 21.4% CAGR from 2018 to 2022. This shows that growth of this segment might decline at a rate of 4% per year.
Large enterprises are expected to deal with demanding and complex computing programs. Ability of flash-based arrays to boost processing, application loading, and data retrieval times might spur demand. These are anticipated to accelerate employee productivity by reducing wait times.
Large enterprises are also set to invest in big data and data analytics programs to gain in-depth insights into the latest market trends, clients, and operations. Flash-based arrays might be used to analyze, process, and evaluate confidential data. These will likely ensure that business intelligence and analytics are performed in real-time.
The 4% decline in growth of the segment, however, might result from rising demand from small and medium enterprises (SMEs). These companies are projected to deal with e-commerce, customer relationship management (CRM), and data analytics. They are expected to use flash-based arrays to maintain their workload and push customer engagement.
Flash-based array providers are expected to invest considerable sums in research and development initiatives to enhance the software & hardware components of their products. They are anticipated to develop reliable and faster NAND flash memory for refining data management algorithms.
As non-volatile memory express (NVMe) technology has become prevalent globally, companies are set to integrate it into their portfolio. This would enable them to provide their clients quick data access speeds and superior performance.
A handful of companies might improve their existing range of flash-based arrays. They can launch new analytical capabilities and unique data management characteristics. This includes encryption, compression, analytics tools, and built-in data deduplication. Such features are expected to help data centers gain insights into their storage and data efficiency.
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| Attribute | Details |
|---|---|
| Estimated Flash-based Arrays Market Size (2023) | US$ 76.2 billion |
| Projected Flash-based Arrays Market Valuation (2033) | US$ 391.0 billion |
| Value-based Flash-based Arrays Market CAGR (2023 to 2033) | 17.8% |
| Historical Data | 2018 to 2022 |
| Forecast Period | 2023 to 2033 |
| Quantitative Units | Value (US$ billion) |
| Segments Covered | Product Type, Organization Size, End-Use, Region |
| Regions Covered | North America; Latin America; East Asia; South Asia Pacific; Western Europe; Eastern Europe; Middle East & Africa |
| Key Countries Covered in Flash-based Arrays Market | United States, Canada, Brazil, Mexico, Germany, Italy, France, United Kingdom, Spain, Russia, GCC Countries, India, China, Japan and Australia |
| Key Companies Profiled in Flash-based Arrays Market | Dell EMC; Fujitsu Ltd.; Hewlett Packard Enterprise Development LP; Hitachi Data Systems Corporation |
The flash-based arrays market size is set to reach US$ 391.0 billion by 2033.
Dell EMC, Fujitsu Ltd, and Hitachi Data Systems Corporation are leading players.
Shift toward remote work and adoption of 5G are the future trends of flash-based arrays.
China is set to dominate the flash-based arrays market by 2033.
Hybrid flash arrays and all-flash arrays are the two types of leading products.
1. Executive Summary 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. Product Life Cycle Analysis 3.5. Supply Chain Analysis 3.5.1. Supply Side Participants and their Roles 3.5.1.1. Producers 3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers) 3.5.1.3. Wholesalers and Distributors 3.5.2. Value Added and Value Created at Node in the Supply Chain 3.5.3. List of Raw Material Suppliers 3.5.4. List of Existing and Potential Buyer’s 3.6. Investment Feasibility Matrix 3.7. Value Chain Analysis 3.7.1. Profit Margin Analysis 3.7.2. Wholesalers and Distributors 3.7.3. Retailers 3.8. PESTLE and Porter’s Analysis 3.9. Regulatory Landscape 3.9.1. By Key Regions 3.9.2. By Key Countries 3.10. Regional Parent Market Outlook 3.11. Production and Consumption Statistics 3.12. Import and Export Statistics 4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033 4.1. Historical Market Size Value (US$ billion) & Volume (Units) Analysis, 2018 to 2022 4.2. Current and Future Market Size Value (US$ billion) & Volume (Units) 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 Product Type 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Product Type, 2018 to 2022 5.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Product Type, 2023 to 2033 5.3.1. Hybrid Flash Arrays 5.3.2. All Flash Arrays 5.4. Y-o-Y Growth Trend Analysis By Product Type, 2018 to 2022 5.5. Absolute $ Opportunity Analysis By Product Type, 2023 to 2033 6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Organization Size 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Organization Size, 2018 to 2022 6.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Organization Size, 2023 to 2033 6.3.1. Large Enterprises 6.3.2. SMEs 6.4. Y-o-Y Growth Trend Analysis By Organization Size, 2018 to 2022 6.5. Absolute $ Opportunity Analysis By Organization Size, 2023 to 2033 7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End-Use 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By End-Use, 2018 to 2022 7.3. Current and Future Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By End-Use, 2023 to 2033 7.3.1. BFSI 7.3.2. IT & Telecom 7.3.3. Industrial 7.3.4. Other End-Uses 7.4. Y-o-Y Growth Trend Analysis By End-Use, 2018 to 2022 7.5. Absolute $ Opportunity Analysis By End-Use, 2023 to 2033 8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region 8.1. Introduction 8.2. Historical Market Size Value (US$ billion) & Volume (Units) Analysis By Region, 2018 to 2022 8.3. Current Market Size Value (US$ billion) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033 8.3.1. North America 8.3.2. Latin America 8.3.3. Western Europe 8.3.4. Eastern Europe 8.3.5. South Asia and Pacific 8.3.6. East Asia 8.3.7. Middle East and Africa 8.4. Market Attractiveness Analysis By Region 9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 9.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 9.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 9.2.1. By Country 9.2.1.1. United States 9.2.1.2. Canada 9.2.2. By Product Type 9.2.3. By Organization Size 9.2.4. By End-Use 9.3. Market Attractiveness Analysis 9.3.1. By Country 9.3.2. By Product Type 9.3.3. By Organization Size 9.3.4. By End-Use 9.4. Key Takeaways 10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 10.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 10.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 10.2.1. By Country 10.2.1.1. Brazil 10.2.1.2. Mexico 10.2.1.3. Rest of Latin America 10.2.2. By Product Type 10.2.3. By Organization Size 10.2.4. By End-Use 10.3. Market Attractiveness Analysis 10.3.1. By Country 10.3.2. By Product Type 10.3.3. By Organization Size 10.3.4. By End-Use 10.4. Key Takeaways 11. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 11.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 11.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 11.2.1. By Country 11.2.1.1. Germany 11.2.1.2. United Kingdom 11.2.1.3. France 11.2.1.4. Spain 11.2.1.5. Italy 11.2.1.6. Rest of Western Europe 11.2.2. By Product Type 11.2.3. By Organization Size 11.2.4. By End-Use 11.3. Market Attractiveness Analysis 11.3.1. By Country 11.3.2. By Product Type 11.3.3. By Organization Size 11.3.4. By End-Use 11.4. Key Takeaways 12. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 12.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 12.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 12.2.1. By Country 12.2.1.1. Poland 12.2.1.2. Russia 12.2.1.3. Czech Republic 12.2.1.4. Romania 12.2.1.5. Rest of Eastern Europe 12.2.2. By Product Type 12.2.3. By Organization Size 12.2.4. By End-Use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Product Type 12.3.3. By Organization Size 12.3.4. By End-Use 12.4. Key Takeaways 13. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 13.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 13.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 13.2.1. By Country 13.2.1.1. India 13.2.1.2. Bangladesh 13.2.1.3. Australia 13.2.1.4. New Zealand 13.2.1.5. Rest of South Asia and Pacific 13.2.2. By Product Type 13.2.3. By Organization Size 13.2.4. By End-Use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Product Type 13.3.3. By Organization Size 13.3.4. By End-Use 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$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 14.2. Market Size Value (US$ billion) & Volume (Units) 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 Product Type 14.2.3. By Organization Size 14.2.4. By End-Use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Product Type 14.3.3. By Organization Size 14.3.4. By End-Use 14.4. Key Takeaways 15. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country 15.1. Historical Market Size Value (US$ billion) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022 15.2. Market Size Value (US$ billion) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033 15.2.1. By Country 15.2.1.1. GCC Countries 15.2.1.2. South Africa 15.2.1.3. Israel 15.2.1.4. Rest of MEA 15.2.2. By Product Type 15.2.3. By Organization Size 15.2.4. By End-Use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Product Type 15.3.3. By Organization Size 15.3.4. By End-Use 15.4. Key Takeaways 16. Key Countries Market Analysis 16.1. United States 16.1.1. Pricing Analysis 16.1.2. Market Share Analysis, 2022 16.1.2.1. By Product Type 16.1.2.2. By Organization Size 16.1.2.3. By End-Use 16.2. Canada 16.2.1. Pricing Analysis 16.2.2. Market Share Analysis, 2022 16.2.2.1. By Product Type 16.2.2.2. By Organization Size 16.2.2.3. By End-Use 16.3. Brazil 16.3.1. Pricing Analysis 16.3.2. Market Share Analysis, 2022 16.3.2.1. By Product Type 16.3.2.2. By Organization Size 16.3.2.3. By End-Use 16.4. Mexico 16.4.1. Pricing Analysis 16.4.2. Market Share Analysis, 2022 16.4.2.1. By Product Type 16.4.2.2. By Organization Size 16.4.2.3. By End-Use 16.5. Germany 16.5.1. Pricing Analysis 16.5.2. Market Share Analysis, 2022 16.5.2.1. By Product Type 16.5.2.2. By Organization Size 16.5.2.3. By End-Use 16.6. United Kingdom 16.6.1. Pricing Analysis 16.6.2. Market Share Analysis, 2022 16.6.2.1. By Product Type 16.6.2.2. By Organization Size 16.6.2.3. By End-Use 16.7. France 16.7.1. Pricing Analysis 16.7.2. Market Share Analysis, 2022 16.7.2.1. By Product Type 16.7.2.2. By Organization Size 16.7.2.3. By End-Use 16.8. Spain 16.8.1. Pricing Analysis 16.8.2. Market Share Analysis, 2022 16.8.2.1. By Product Type 16.8.2.2. By Organization Size 16.8.2.3. By End-Use 16.9. Italy 16.9.1. Pricing Analysis 16.9.2. Market Share Analysis, 2022 16.9.2.1. By Product Type 16.9.2.2. By Organization Size 16.9.2.3. By End-Use 16.10. Poland 16.10.1. Pricing Analysis 16.10.2. Market Share Analysis, 2022 16.10.2.1. By Product Type 16.10.2.2. By Organization Size 16.10.2.3. By End-Use 16.11. Russia 16.11.1. Pricing Analysis 16.11.2. Market Share Analysis, 2022 16.11.2.1. By Product Type 16.11.2.2. By Organization Size 16.11.2.3. By End-Use 16.12. Czech Republic 16.12.1. Pricing Analysis 16.12.2. Market Share Analysis, 2022 16.12.2.1. By Product Type 16.12.2.2. By Organization Size 16.12.2.3. By End-Use 16.13. Romania 16.13.1. Pricing Analysis 16.13.2. Market Share Analysis, 2022 16.13.2.1. By Product Type 16.13.2.2. By Organization Size 16.13.2.3. By End-Use 16.14. India 16.14.1. Pricing Analysis 16.14.2. Market Share Analysis, 2022 16.14.2.1. By Product Type 16.14.2.2. By Organization Size 16.14.2.3. By End-Use 16.15. Bangladesh 16.15.1. Pricing Analysis 16.15.2. Market Share Analysis, 2022 16.15.2.1. By Product Type 16.15.2.2. By Organization Size 16.15.2.3. By End-Use 16.16. Australia 16.16.1. Pricing Analysis 16.16.2. Market Share Analysis, 2022 16.16.2.1. By Product Type 16.16.2.2. By Organization Size 16.16.2.3. By End-Use 16.17. New Zealand 16.17.1. Pricing Analysis 16.17.2. Market Share Analysis, 2022 16.17.2.1. By Product Type 16.17.2.2. By Organization Size 16.17.2.3. By End-Use 16.18. China 16.18.1. Pricing Analysis 16.18.2. Market Share Analysis, 2022 16.18.2.1. By Product Type 16.18.2.2. By Organization Size 16.18.2.3. By End-Use 16.19. Japan 16.19.1. Pricing Analysis 16.19.2. Market Share Analysis, 2022 16.19.2.1. By Product Type 16.19.2.2. By Organization Size 16.19.2.3. By End-Use 16.20. South Korea 16.20.1. Pricing Analysis 16.20.2. Market Share Analysis, 2022 16.20.2.1. By Product Type 16.20.2.2. By Organization Size 16.20.2.3. By End-Use 16.21. GCC Countries 16.21.1. Pricing Analysis 16.21.2. Market Share Analysis, 2022 16.21.2.1. By Product Type 16.21.2.2. By Organization Size 16.21.2.3. By End-Use 16.22. South Africa 16.22.1. Pricing Analysis 16.22.2. Market Share Analysis, 2022 16.22.2.1. By Product Type 16.22.2.2. By Organization Size 16.22.2.3. By End-Use 16.23. Israel 16.23.1. Pricing Analysis 16.23.2. Market Share Analysis, 2022 16.23.2.1. By Product Type 16.23.2.2. By Organization Size 16.23.2.3. By End-Use 17. Market Structure Analysis 17.1. Competition Dashboard 17.2. Competition Benchmarking 17.3. Market Share Analysis of Top Players 17.3.1. By Regional 17.3.2. By Product Type 17.3.3. By Organization Size 17.3.4. By End-Use 18. Competition Analysis 18.1. Competition Deep Dive 18.1.1. Dell EMC 18.1.1.1. Overview 18.1.1.2. Product Portfolio 18.1.1.3. Profitability by Market Segments 18.1.1.4. Sales Footprint 18.1.1.5. Strategy Overview 18.1.1.5.1. Marketing Strategy 18.1.1.5.2. Product Strategy 18.1.1.5.3. Channel Strategy 18.1.2. Fujitsu Ltd. 18.1.2.1. Overview 18.1.2.2. Product Portfolio 18.1.2.3. Profitability by Market Segments 18.1.2.4. Sales Footprint 18.1.2.5. Strategy Overview 18.1.2.5.1. Marketing Strategy 18.1.2.5.2. Product Strategy 18.1.2.5.3. Channel Strategy 18.1.3. Hewlett Packard Enterprise Development LP (HPE) 18.1.3.1. Overview 18.1.3.2. Product Portfolio 18.1.3.3. Profitability by Market Segments 18.1.3.4. Sales Footprint 18.1.3.5. Strategy Overview 18.1.3.5.1. Marketing Strategy 18.1.3.5.2. Product Strategy 18.1.3.5.3. Channel Strategy 18.1.4. Hitachi Data Systems Corporation 18.1.4.1. Overview 18.1.4.2. Product Portfolio 18.1.4.3. Profitability by Market Segments 18.1.4.4. Sales Footprint 18.1.4.5. Strategy Overview 18.1.4.5.1. Marketing Strategy 18.1.4.5.2. Product Strategy 18.1.4.5.3. Channel Strategy 18.1.5. Huawei Technologies Co. Ltd 18.1.5.1. Overview 18.1.5.2. Product Portfolio 18.1.5.3. Profitability by Market Segments 18.1.5.4. Sales Footprint 18.1.5.5. Strategy Overview 18.1.5.5.1. Marketing Strategy 18.1.5.5.2. Product Strategy 18.1.5.5.3. Channel Strategy 18.1.6. IBM Corporation 18.1.6.1. Overview 18.1.6.2. Product Portfolio 18.1.6.3. Profitability by Market Segments 18.1.6.4. Sales Footprint 18.1.6.5. Strategy Overview 18.1.6.5.1. Marketing Strategy 18.1.6.5.2. Product Strategy 18.1.6.5.3. Channel Strategy 18.1.7. Kaminario Inc. 18.1.7.1. Overview 18.1.7.2. Product Portfolio 18.1.7.3. Profitability by Market Segments 18.1.7.4. Sales Footprint 18.1.7.5. Strategy Overview 18.1.7.5.1. Marketing Strategy 18.1.7.5.2. Product Strategy 18.1.7.5.3. Channel Strategy 18.1.8. NetApp Inc. 18.1.8.1. Overview 18.1.8.2. Product Portfolio 18.1.8.3. Profitability by Market Segments 18.1.8.4. Sales Footprint 18.1.8.5. Strategy Overview 18.1.8.5.1. Marketing Strategy 18.1.8.5.2. Product Strategy 18.1.8.5.3. Channel Strategy 18.1.9. Oracle Corporation 18.1.9.1. Overview 18.1.9.2. Product Portfolio 18.1.9.3. Profitability by Market Segments 18.1.9.4. Sales Footprint 18.1.9.5. Strategy Overview 18.1.9.5.1. Marketing Strategy 18.1.9.5.2. Product Strategy 18.1.9.5.3. Channel Strategy 18.1.10. Pure Storage 18.1.10.1. Overview 18.1.10.2. Product Portfolio 18.1.10.3. Profitability by Market Segments 18.1.10.4. Sales Footprint 18.1.10.5. Strategy Overview 18.1.10.5.1. Marketing Strategy 18.1.10.5.2. Product Strategy 18.1.10.5.3. Channel Strategy 18.1.11. Tintri Inc. 18.1.11.1. Overview 18.1.11.2. Product Portfolio 18.1.11.3. Profitability by Market Segments 18.1.11.4. Sales Footprint 18.1.11.5. Strategy Overview 18.1.11.5.1. Marketing Strategy 18.1.11.5.2. Product Strategy 18.1.11.5.3. Channel Strategy 19. Assumptions & Acronyms Used 20. Research Methodology
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