Software-Defined Anything (SDx) Market analysis report by Future Market Insights shows that global sales of the Software-Defined Anything (SDx) Market in 2021 were held at US$ 61.4 Billion. The projected market growth during 2022 is expected to be 17.5%. Software-Defined Networking (SDN) is expected to be the highest revenue-generating segment, projected to grow at a CAGR of around 18.2% from 2022 to 2032.
Attributes | Details |
---|---|
Global Software-Defined Anything (SDx) Market Size (2022) | US$ 76.1 Billion |
Global Software-Defined Anything (SDx) Market Size (2032) | US$ 380.5 Billion |
Global Software-Defined Anything (SDx) Market CAGR (2022 to 2032) | 17.5% |
USA Software-Defined Anything (SDx) Market Size (2032) | US$ 108.2 Billion |
Key Companies Covered |
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As per the Software-Defined Anything (SDx) Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2015 to 2021, the market value of the Software-Defined Anything (SDx) Market increased at around 25.3% CAGR.
Organizations across the world are rapidly embracing SDx solutions, which were launched to provide efficient policy-based data generation, deletion, and administration in public and private cloud infrastructure, as well as efficient network administration and control. The SDx industry is expanding globally due to its numerous advantages.
Some of the key market drivers are an increase in the number of created data, an increase in the requirement for efficient network management, and a considerable decrease in Capex and Opex. However, rising worries about data privacy and security, inefficient resource allocation, and a shortage of qualified labour are some of the reasons that may stymie industry expansion. Furthermore, the market benefits from an increase in demand for hybrid clouds as well as an increase in the use of the Internet of Things.
As technology evolves and more companies adopt cloud technologies and digitalization, SDI assists firms in focusing on their digital transformation operations to achieve business outcomes. SDX also aids in abstracting away from improvement, development, and business teams to accomplish substantial results. Some of the most potential advantages for any firm are agility and scalability. Moreover, SDx provides a virtualization gateway, which is emerging as an important application infrastructure component for software applications in digital business. SDX also strives to offer new and enhanced goods and services at the speed of the client, not the speed at which the infrastructure team traditionally functions, hence boosting the market growth.
Rapid technological advancements aid in the growth of& e-commerce businesses by enabling huge numbers of e-commerce and money transfers. However, with the expansion of the e-commerce business, the associated platform and infrastructure also swell, which encompasses the assets spread across various data centres. This provides an infrastructure with a strategic differentiator by engaging in an SDDC to enable agility for effectiveness and creativity across its operations while also laying the groundwork for future expansion. As a result, the industry is likely to benefit from the merger of the e-commerce industry with the deployment of SDX in the next years.
Rapid technological advancements aid in the rapid growth of the e-commerce business by enabling huge numbers of e-commerce and money transfers. However, as the e-commerce business expands, so does its platform and infrastructure, which encompasses hundreds or even thousands of assets spread across various data centres. This provides an infrastructure with a strategic differentiator by engaging in an SDDC to enable agility for effectiveness and creativity across its operations while also laying the groundwork for future expansion. As a result, the industry is likely to benefit from the e-commerce industry with the deployment of SDX in the coming years.
During the projected period, North America held the largest share in the global Software-Defined Anything (SDx) Market with a market size of over US$ 150 Billion. North America is estimated to account for a significant share of the market throughout the forecast period due to the region's widespread use of sophisticated network technology and acceptance of SDA-related technologies.
The presence of significant global companies in the area, as well as increased demand and usage of cloud-based computing systems, is a key driving factor for regional market growth. The rapid use of technology in North America has aided enterprises in virtualizing their IT infrastructure and facilitating network administration, contributing to the SDx Market's rapid expansion.
The United States is expected to account for the highest market valuation of US$ 136.3 Billion by the end of 2032 with an expected CAGR of 17.1% from 2022 to 2032. Growing technology-focused initiatives and rising enterprise IT budgets are likely to drive the software-defined anything (SDx) industry in the country in the coming years. Over the forecast period, the technological change towards improving corporate standards, information portability, and norms is projected to concentrate more on data-centric solutions, boosting the software-defined anything market.
The United States has 30.2 Billion start-ups and small and medium enterprises, many of which use software to reduce the costs and complexities of internal processes, according to the Small Business Administration. The existence of hyper-scale data centers in the USA is critical for sustaining a strong market presence for cloud-based technologies. As a result, there is an increase in demand for cloud-based corporate software systems in the United States.
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Revenue through Software-Defined Networking (SDN) segment is forecasted to grow at a CAGR of around 18.2% from 2022 to 2032. The enormous growth in the size and complex network infrastructures over the last decade has created a significant demand for solutions that can simplify and effectively manage the entire network.
Software-defined networking platforms help network owners by providing more control over traffic flow to automate many functions associated with network management. Consequently, communication systems, which include countless Communication Service Providers (CSPs), are investing heavily in software-defined networking technologies to improve network management.
Through the implementation of a more code-driven network strategy, a network operator can streamline and optimize the process of providing services, leading to better outcomes. CSPs are adopting the code-driven networking model to better provide network services. CSPs are being forced to spend huge sums on SDN technologies to reduce their Total Capital Expense (CAPEX) and Operating expense (OPEX). Such spending is necessitated by an incipient domination of digital information by over-the-top (OTT) companies, which continually delay the adoption of SDN technologies.
The Service Provider segment is forecasted to grow at a CAGR of around 18.4% from 2022 to 2032. The market for SD solutions is expected to increase since there is a rising need for service providers and key companies to increase the operational capability and bandwidth of carrier networks. Increased data traffic from social media cloud computing, mobile devices, as well as the Internet of Things (IoT), is predicted to push data traffic in the future years, creating a rising need for upgraded networks.
Deploying software-defined anything allows IT service providers to keep track of their client's demands or queries, employees, business operations, and others in a cost-effective manner by storing and retrieving all types of corporate data information such as inventory, resource orders, payroll, and leaves, supply management, project management, digital marketing, and work schedule. These factors contribute to the growth of the SDx industry.
Some of the key Software-defined Anything companies include Cisco, Dell EMC, Hewlett Packard Enterprise, VMware, Huawei, Broadcom Inc., Citrix, Intel Corporation, IBM Corporation, and AT&T Inc.
Some of the recent developments include:
Cisco's 'Internet for the Future' approach emphasizes software, optics, and silicon, as crucial building blocks for bringing disruptive breakthroughs across different disciplines. As web traffic and bandwidth continue to rise, optics will play an increasingly important role in pushing architectural changes. Cisco's purchase of Acacia reaffirms its engagement with optics as one of the fundamental building pieces that will strengthen Cisco's 'Internet for the Future' vision by providing world-class coherent optical solutions to their customers.
Similarly, recent developments related to companies in SDx Market have been tracked by the team at Future Market Insights, which are available in the full report.
The global demand for Software-Defined Anything (SDx) is worth more than US$ 61 Billion at present.
The demand for the Software-Defined Anything Market is projected to increase at a CAGR of around 17.5% from 2022 to 2032.
The value of the Software-Defined Anything (SDx) Market increased at a CAGR of around 25.3% from 2015 to 2021.
The growing usage of Software Defined Everything (SDX) across e-commerce businesses is one of the prominent trends in the SDx Market.
The market for Software-Defined Anything (SDx) Market in the USA is projected to expand at a CAGR of around 17.1% from 2022 to 2032.
1. Executive Summary | Software-Defined Anything (SDx) Market 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. FMI Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on the Market 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Million) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Product Development Trends 4. Market Background and Foundation Data Points 4.1. Global Protective Coatings Market (US$ Million) 4.2. Market Opportunity Assessment (US$ Million) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in Optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Global Protective Coatings Market Growth 4.5.3. Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015 to 2021 and Forecast, 2022 to 2032 6.1. Historical Market Analysis, 2015 to 2021 6.2. Current and Future Market Projections, 2022 to 2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015 to 2021 and Forecast, 2022 to 2032 7.1. Historical Market Value (US$ Million) Analysis, 2015 to 2021 7.2. Current and Future Market Value (US$ Million) Projections, 2022 to 2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute Opportunity Analysis 8. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Type 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Million) Analysis By Type, 2015 to 2021 8.3. Current and Future Market Size (US$ Million) Analysis and Forecast By Type, 2022 to 2032 8.3.1. Software-Defined Networking (SDN) 8.3.2. Software-Defined Wide Area Network (SD-WAN) 8.3.3. Software-Defined Data Center 8.3.3.1. Software-Defined Computing (SDC) 8.3.3.2. Software-Defined Storage (SDS) 8.3.3.3. Software-Defined Data Center Networking (SDDCN) 8.4. Market Attractiveness Analysis By Type 9. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By End-user 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Million) Analysis By End-user, 2015 to 2021 9.3. Current and Future Market Size (US$ Million) Analysis and Forecast By End-user, 2022 to 2032 9.3.1. Service Provider 9.3.2. Enterprises 9.3.2.1. Banking, Financial Services, and Insurance (BFSI) 9.3.2.2. Manufacturing 9.3.2.3. Retail 9.3.2.4. Healthcare 9.3.2.5. Government 9.3.2.6. Education 9.3.2.7. Others (IT and ITeS, Transportation, and Utilities) 9.4. Market Attractiveness Analysis By End-user 10. Global Market Analysis 2015 to 2021 and Forecast 2022 to 2032, By Region 10.1. Introduction 10.2. Historical Market Size (US$ Million) Analysis By Region, 2015 to 2021 10.3. Current Market Size (US$ Million) & Analysis and Forecast By Region, 2022 to 2032 10.3.1. North America 10.3.2. Latin America 10.3.3. Europe 10.3.4. Asia Pacific 10.3.5. Middle East and Africa (MEA) 10.4. Market Attractiveness Analysis By Region 11. North America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 11.1. Introduction 11.2. Pricing Analysis 11.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 11.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 11.4.1. By Country 11.4.1.1. United States of America 11.4.1.2. Canada 11.4.1.3. Rest of North America 11.4.2. By Type 11.4.3. By End-user 11.5. Market Attractiveness Analysis 11.5.1. By Country 11.5.2. By Type 11.5.3. By End-user 12. Latin America Market Analysis 2015 to 2021 and Forecast 2022 to 2032 12.1. Introduction 12.2. Pricing Analysis 12.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 12.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 12.4.1. By Country 12.4.1.1. Brazil 12.4.1.2. Mexico 12.4.1.3. Rest of Latin America 12.4.2. By Type 12.4.3. By End-user 12.5. Market Attractiveness Analysis 12.5.1. By Country 12.5.2. By Type 12.5.3. By End-user 13. Europe Market Analysis 2015 to 2021 and Forecast 2022 to 2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 13.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 13.4.1. By Country 13.4.1.1. Germany 13.4.1.2. France 13.4.1.3. United Kingdom 13.4.1.4. Italy 13.4.1.5. Benelux 13.4.1.6. Nordic Countries 13.4.1.7. Rest of Europe 13.4.2. By Type 13.4.3. By End-user 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Type 13.5.3. By End-user 14. Asia Pacific Market Analysis 2015 to 2021 and Forecast 2022 to 2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 14.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 14.4.1. By Country 14.4.1.1. China 14.4.1.2. Japan 14.4.1.3. South Korea 14.4.1.4. Rest of Asia Pacific 14.4.2. By Type 14.4.3. By End-user 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Type 14.5.3. By End-user 15. Middle East and Africa Market Analysis 2015 to 2021 and Forecast 2022 to 2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Million) Trend Analysis By Market Taxonomy, 2015 to 2021 15.4. Market Value (US$ Million) & Forecast By Market Taxonomy, 2022 to 2032 15.4.1. By Country 15.4.1.1. GCC Countries 15.4.1.2. South Africa 15.4.1.3. Turkey 15.4.1.4. Rest of Middle East and Africa 15.4.2. By Type 15.4.3. By End-user 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Type 15.5.3. By End-user 16. Key Countries Market Analysis 2015 to 2021 and Forecast 2022 to 2032 16.1. Introduction 16.1.1. Market Value Proportion Analysis, By Key Countries 16.1.2. Global Vs. Country Growth Comparison 16.2. US Market Analysis 16.2.1. Value Proportion Analysis by Market Taxonomy 16.2.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.2.2.1. By Type 16.2.2.2. By End-user 16.3. Canada Market Analysis 16.3.1. Value Proportion Analysis by Market Taxonomy 16.3.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.3.2.1. By Type 16.3.2.2. By End-user 16.4. Mexico Market Analysis 16.4.1. Value Proportion Analysis by Market Taxonomy 16.4.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.4.2.1. By Type 16.4.2.2. By End-user 16.5. Brazil Market Analysis 16.5.1. Value Proportion Analysis by Market Taxonomy 16.5.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.5.2.1. By Type 16.5.2.2. By End-user 16.6. Germany Market Analysis 16.6.1. Value Proportion Analysis by Market Taxonomy 16.6.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.6.2.1. By Type 16.6.2.2. By End-user 16.7. France Market Analysis 16.7.1. Value Proportion Analysis by Market Taxonomy 16.7.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.7.2.1. By Type 16.7.2.2. By End-user 16.8. Italy Market Analysis 16.8.1. Value Proportion Analysis by Market Taxonomy 16.8.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.8.2.1. By Type 16.8.2.2. By End-user 16.9. BENELUX Market Analysis 16.9.1. Value Proportion Analysis by Market Taxonomy 16.9.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.9.2.1. By Type 16.9.2.2. By End-user 16.10. UK Market Analysis 16.10.1. Value Proportion Analysis by Market Taxonomy 16.10.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.10.2.1. By Type 16.10.2.2. By End-user 16.11. Nordic Countries Market Analysis 16.11.1. Value Proportion Analysis by Market Taxonomy 16.11.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.11.2.1. By Type 16.11.2.2. By End-user 16.12. China Market Analysis 16.12.1. Value Proportion Analysis by Market Taxonomy 16.12.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.12.2.1. By Type 16.12.2.2. By End-user 16.13. Japan Market Analysis 16.13.1. Value Proportion Analysis by Market Taxonomy 16.13.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.13.2.1. By Type 16.13.2.2. By End-user 16.14. South Korea Market Analysis 16.14.1. Value Proportion Analysis by Market Taxonomy 16.14.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.14.2.1. By Type 16.14.2.2. By End-user 16.15. GCC Countries Market Analysis 16.15.1. Value Proportion Analysis by Market Taxonomy 16.15.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.15.2.1. By Type 16.15.2.2. By End-user 16.16. South Africa Market Analysis 16.16.1. Value Proportion Analysis by Market Taxonomy 16.16.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.16.2.1. By Type 16.16.2.2. By End-user 16.17. Turkey Market Analysis 16.17.1. Value Proportion Analysis by Market Taxonomy 16.17.2. Value & Analysis and Forecast by Market Taxonomy, 2015-2032 16.17.2.1. By Type 16.17.2.2. By End-user 16.17.3. Competition Landscape and Player Concentration in the Country 17. Market Structure Analysis 17.1. Market Analysis by Tier of Companies 17.2. Market Concentration 17.3. Market Share Analysis of Top Players 17.4. Market Presence Analysis 17.4.1. By Regional Footprint of Players 17.4.2. Product Footprint by Players 18. Competition Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Competition Deep Dive 18.3.1. Cisco 18.3.1.1. Overview 18.3.1.2. Product Portfolio 18.3.1.3. Sales Footprint 18.3.1.4. Strategy Overview 18.3.2. Dell EMC 18.3.2.1. Overview 18.3.2.2. Product Portfolio 18.3.2.3. Sales Footprint 18.3.2.4. Strategy Overview 18.3.3. HPE 18.3.3.1. Overview 18.3.3.2. Product Portfolio 18.3.3.3. Sales Footprint 18.3.3.4. Strategy Overview 18.3.4. IBM 18.3.4.1. Overview 18.3.4.2. Product Portfolio 18.3.4.3. Sales Footprint 18.3.4.4. Strategy Overview 18.3.5. VMware 18.3.5.1. Overview 18.3.5.2. Product Portfolio 18.3.5.3. Sales Footprint 18.3.5.4. Strategy Overview 18.3.6. Huawei 18.3.6.1. Overview 18.3.6.2. Product Portfolio 18.3.6.3. Sales Footprint 18.3.6.4. Strategy Overview 18.3.7. Juniper Networks 18.3.7.1. Overview 18.3.7.2. Product Portfolio 18.3.7.3. Sales Footprint 18.3.7.4. Strategy Overview 18.3.8. Microsoft 18.3.8.1. Overview 18.3.8.2. Product Portfolio 18.3.8.3. Sales Footprint 18.3.8.4. Strategy Overview 18.3.9. Nokia 18.3.9.1. Overview 18.3.9.2. Product Portfolio 18.3.9.3. Sales Footprint 18.3.9.4. Strategy Overview 18.3.10. Oracle 18.3.10.1. Overview 18.3.10.2. Product Portfolio 18.3.10.3. Sales Footprint 18.3.10.4. Strategy Overview 18.3.11. Aryaka Networks 18.3.11.1. Overview 18.3.11.2. Product Portfolio 18.3.11.3. Sales Footprint 18.3.11.4. Strategy Overview 18.3.12. Big Switch Networks 18.3.12.1. Overview 18.3.12.2. Product Portfolio 18.3.12.3. Sales Footprint 18.3.12.4. Strategy Overview 18.3.13. Citrix 18.3.13.1. Overview 18.3.13.2. Product Portfolio 18.3.13.3. Sales Footprint 18.3.13.4. Strategy Overview 18.3.14. Extreme Networks 18.3.14.1. Overview 18.3.14.2. Product Portfolio 18.3.14.3. Sales Footprint 18.3.14.4. Strategy Overview 18.3.15. Infovista 18.3.15.1. Overview 18.3.15.2. Product Portfolio 18.3.15.3. Sales Footprint 18.3.15.4. Strategy Overview 18.3.16. NEC 18.3.16.1. Overview 18.3.16.2. Product Portfolio 18.3.16.3. Sales Footprint 18.3.16.4. Strategy Overview 18.3.17. Nutanix 18.3.17.1. Overview 18.3.17.2. Product Portfolio 18.3.17.3. Sales Footprint 18.3.17.4. Strategy Overview 18.3.18. Pluribus Networks 18.3.18.1. Overview 18.3.18.2. Product Portfolio 18.3.18.3. Sales Footprint 18.3.18.4. Strategy Overview 18.3.19. Red Hat 18.3.19.1. Overview 18.3.19.2. Product Portfolio 18.3.19.3. Sales Footprint 18.3.19.4. Strategy Overview 18.3.20. Silver Peak Systems 18.3.20.1. Overview 18.3.20.2. Product Portfolio 18.3.20.3. Sales Footprint 18.3.20.4. Strategy Overview 18.3.21. SUSE 18.3.21.1. Overview 18.3.21.2. Product Portfolio 18.3.21.3. Sales Footprint 18.3.21.4. Strategy Overview 18.3.22. Adaptive Networks 18.3.22.1. Overview 18.3.22.2. Product Portfolio 18.3.22.3. Sales Footprint 18.3.22.4. Strategy Overview 18.3.23. Arista Networks 18.3.23.1. Overview 18.3.23.2. Product Portfolio 18.3.23.3. Sales Footprint 18.3.23.4. Strategy Overview 18.3.24. Bigleaf Networks 18.3.24.1. Overview 18.3.24.2. Product Portfolio 18.3.24.3. Sales Footprint 18.3.24.4. Strategy Overview 18.3.25. CloudGenix 18.3.25.1. Overview 18.3.25.2. Product Portfolio 18.3.25.3. Sales Footprint 18.3.25.4. Strategy Overview 18.3.26. Cumulus Networks 18.3.26.1. Overview 18.3.26.2. Product Portfolio 18.3.26.3. Sales Footprint 18.3.26.4. Strategy Overview 18.3.27. DataCore Software 18.3.27.1. Overview 18.3.27.2. Product Portfolio 18.3.27.3. Sales Footprint 18.3.27.4. Strategy Overview 18.3.28. DataDirect Networks 18.3.28.1. Overview 18.3.28.2. Product Portfolio 18.3.28.3. Sales Footprint 18.3.28.4. Strategy Overview 18.3.29. FatPipe Networks 18.3.29.1. Overview 18.3.29.2. Product Portfolio 18.3.29.3. Sales Footprint 18.3.29.4. Strategy Overview 18.3.30. Fortinet 18.3.30.1. Overview 18.3.30.2. Product Portfolio 18.3.30.3. Sales Footprint 18.3.30.4. Strategy Overview 18.3.31. Fujitsu 18.3.31.1. Overview 18.3.31.2. Product Portfolio 18.3.31.3. Sales Footprint 18.3.31.4. Strategy Overview 18.3.32. HiveIO 18.3.32.1. Overview 18.3.32.2. Product Portfolio 18.3.32.3. Sales Footprint 18.3.32.4. Strategy Overview 18.3.33. Lavelle Networks 18.3.33.1. Overview 18.3.33.2. Product Portfolio 18.3.33.3. Sales Footprint 18.3.33.4. Strategy Overview 18.3.34. Lenovo 18.3.34.1. Overview 18.3.34.2. Product Portfolio 18.3.34.3. Sales Footprint 18.3.34.4. Strategy Overview 18.3.35. Martello Technologies 18.3.35.1. Overview 18.3.35.2. Product Portfolio 18.3.35.3. Sales Footprint 18.3.35.4. Strategy Overview 18.3.36. Maxta 18.3.36.1. Overview 18.3.36.2. Product Portfolio 18.3.36.3. Sales Footprint 18.3.36.4. Strategy Overview 18.3.37. Mushroom Networks 18.3.37.1. Overview 18.3.37.2. Product Portfolio 18.3.37.3. Sales Footprint 18.3.37.4. Strategy Overview 18.3.38. NetApp 18.3.38.1. Overview 18.3.38.2. Product Portfolio 18.3.38.3. Sales Footprint 18.3.38.4. Strategy Overview 18.3.39. Peplink 18.3.39.1. Overview 18.3.39.2. Product Portfolio 18.3.39.3. Sales Footprint 18.3.39.4. Strategy Overview 18.3.40. Pica8 18.3.40.1. Overview 18.3.40.2. Product Portfolio 18.3.40.3. Sales Footprint 18.3.40.4. Strategy Overview 18.3.41. Pivot3 18.3.41.1. Overview 18.3.41.2. Product Portfolio 18.3.41.3. Sales Footprint 18.3.41.4. Strategy Overview 18.3.42. Riverbed 18.3.42.1. Overview 18.3.42.2. Product Portfolio 18.3.42.3. Sales Footprint 18.3.42.4. Strategy Overview 18.3.43. Scale Computing 18.3.43.1. Overview 18.3.43.2. Product Portfolio 18.3.43.3. Sales Footprint 18.3.43.4. Strategy Overview 18.3.44. StarWind Software 18.3.44.1. Overview 18.3.44.2. Product Portfolio 18.3.44.3. Sales Footprint 18.3.44.4. Strategy Overview 18.3.45. StorMagic 18.3.45.1. Overview 18.3.45.2. Product Portfolio 18.3.45.3. Sales Footprint 18.3.45.4. Strategy Overview 18.3.46. Stratoscale 18.3.46.1. Overview 18.3.46.2. Product Portfolio 18.3.46.3. Sales Footprint 18.3.46.4. Strategy Overview 18.3.47. Veeam Software 18.3.47.1. Overview 18.3.47.2. Product Portfolio 18.3.47.3. Sales Footprint 18.3.47.4. Strategy Overview 18.3.48. Versa Networks 18.3.48.1. Overview 18.3.48.2. Product Portfolio 18.3.48.3. Sales Footprint 18.3.48.4. Strategy Overview 18.3.49. Zenlayer 18.3.49.1. Overview 18.3.49.2. Product Portfolio 18.3.49.3. Sales Footprint 18.3.49.4. Strategy Overview 19. Assumptions and Acronyms Used 20. Research Methodology
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