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.
Principal Consultant
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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Software-Defined Anything (SDx) Market
