Global Software Defined Wide Area

Software Defined Wide Area Comprehensive Study by Type (Virtual Appliance, Physical Appliance, Hybrid), Deployment Mode (On-premises, Cloud), Service Type (Consulting, Implementation, Training, Support), End User (Service providers, Enterprises (Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others)) Players and Region - Global Market Outlook to 2026

Software Defined Wide Area Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Industry Background:
Software-defined networking in a wide area network (WAN) simplifies the management and operation of a WAN by decoupling the networking hardware from its control mechanism. It implements virtualization technology to improve data center management and operation. Automation technologies are used for routing and rerouting data traffic, reducing the complexity involved in the procedure. Increasing adoption of cloud technology has resulted in large data repositories. Bring your own device (BYOD) policies adopted by enterprises are also increasing the demand for SDWAN.
This growth is primarily driven by Enterprises’ Focus on Reducing OPEX With Software-Defined WAN and Growing Network Traffic.

Globally, a noticeable market trend is evident High Adoption of Cloud-Based Solutions . The Internet Software & Services sector in the North America region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Fortinet (United States), HPE (United States), Fatpipe (United States), Riverbed (United States), CloudGenix (United States), Versa Networks (United States), Adaptiv Networks (Canada), Peplink (United States), Lavelle Networks (India), Martello Technologies (Canada), Mushroom Networks (United States) and Zenlayer (United States) etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.

Market Drivers
  • Enterprises’ Focus on Reducing OPEX With Software-Defined WAN
  • Growing Network Traffic

Market Trend
  • High Adoption of Cloud-Based Solutions
  • Growing Requirement of Mobility Services

Restraints
  • Reliability Issues in Software-Defined WAN

Opportunities
High Adoption due to Digital Transformation Across Organizations and Technological Advancement Associated with Software-Defined Wide Area
Challenges
The Growing Concerns Over Software-Defined WAN Security

AMA Research follow a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mostly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcase the spontaneously changing Players landscape impacting the growth of the market. Furthermore, our market researchers extensively analyse the products and services offered by multiple players competing to increase their market share and presence.

Customization in the Report
AMA Research features not only specific market forecasts, but also include significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis

Against this Challenging Backdrop, Software Defined Wide Area Study Sheds Light on
— The Software Defined Wide Area Market status quo and key characteristics. To end this, Analyst at AMA organize and took survey of the Software Defined Wide Area industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
— Where Software Defined Wide Area industry is heading and what are the top priorities. Insights are drawn from financial analysis, the survey and interviews with key executives and industry experts.
— How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold value they currently claim, or capture the new addressable opportunity.

Report Objectives / Segmentation Covered

By Type
  • Virtual Appliance
  • Physical Appliance
  • Hybrid
By Deployment Mode
  • On-premises
  • Cloud

By Service Type
  • Consulting
  • Implementation
  • Training
  • Support

By End User
  • Service providers
  • Enterprises [Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others]

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Enterprises’ Focus on Reducing OPEX With Software-Defined WAN
      • 3.2.2. Growing Network Traffic
    • 3.3. Market Challenges
      • 3.3.1. The Growing Concerns Over Software-Defined WAN Security
    • 3.4. Market Trends
      • 3.4.1. High Adoption of Cloud-Based Solutions
      • 3.4.2. Growing Requirement of Mobility Services
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Software Defined Wide Area, by Type, Deployment Mode, Service Type, End User and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global Software Defined Wide Area (Value)
      • 5.2.1. Global Software Defined Wide Area by: Type (Value)
        • 5.2.1.1. Virtual Appliance
        • 5.2.1.2. Physical Appliance
        • 5.2.1.3. Hybrid
      • 5.2.2. Global Software Defined Wide Area by: Deployment Mode (Value)
        • 5.2.2.1. On-premises
        • 5.2.2.2. Cloud
      • 5.2.3. Global Software Defined Wide Area by: Service Type (Value)
        • 5.2.3.1. Consulting
        • 5.2.3.2. Implementation
        • 5.2.3.3. Training
        • 5.2.3.4. Support
      • 5.2.4. Global Software Defined Wide Area by: End User (Value)
        • 5.2.4.1. Service providers
        • 5.2.4.2. Enterprises [Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others]
      • 5.2.5. Global Software Defined Wide Area Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Software Defined Wide Area (Price)
      • 5.3.1. Global Software Defined Wide Area by: Type (Price)
  • 6. Software Defined Wide Area: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Fortinet (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. HPE (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Fatpipe (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Riverbed (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. CloudGenix (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Versa Networks (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Adaptiv Networks (Canada)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Peplink (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Lavelle Networks (India)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Martello Technologies (Canada)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Mushroom Networks (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Zenlayer (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Software Defined Wide Area Sale, by Type, Deployment Mode, Service Type, End User and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global Software Defined Wide Area (Value)
      • 7.2.1. Global Software Defined Wide Area by: Type (Value)
        • 7.2.1.1. Virtual Appliance
        • 7.2.1.2. Physical Appliance
        • 7.2.1.3. Hybrid
      • 7.2.2. Global Software Defined Wide Area by: Deployment Mode (Value)
        • 7.2.2.1. On-premises
        • 7.2.2.2. Cloud
      • 7.2.3. Global Software Defined Wide Area by: Service Type (Value)
        • 7.2.3.1. Consulting
        • 7.2.3.2. Implementation
        • 7.2.3.3. Training
        • 7.2.3.4. Support
      • 7.2.4. Global Software Defined Wide Area by: End User (Value)
        • 7.2.4.1. Service providers
        • 7.2.4.2. Enterprises [Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others]
      • 7.2.5. Global Software Defined Wide Area Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Software Defined Wide Area (Price)
      • 7.3.1. Global Software Defined Wide Area by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Software Defined Wide Area: by Type(USD Million)
  • Table 2. Software Defined Wide Area Virtual Appliance , by Region USD Million (2015-2020)
  • Table 3. Software Defined Wide Area Physical Appliance , by Region USD Million (2015-2020)
  • Table 4. Software Defined Wide Area Hybrid , by Region USD Million (2015-2020)
  • Table 5. Software Defined Wide Area: by Deployment Mode(USD Million)
  • Table 6. Software Defined Wide Area On-premises , by Region USD Million (2015-2020)
  • Table 7. Software Defined Wide Area Cloud , by Region USD Million (2015-2020)
  • Table 8. Software Defined Wide Area: by Service Type(USD Million)
  • Table 9. Software Defined Wide Area Consulting , by Region USD Million (2015-2020)
  • Table 10. Software Defined Wide Area Implementation , by Region USD Million (2015-2020)
  • Table 11. Software Defined Wide Area Training , by Region USD Million (2015-2020)
  • Table 12. Software Defined Wide Area Support , by Region USD Million (2015-2020)
  • Table 13. Software Defined Wide Area: by End User(USD Million)
  • Table 14. Software Defined Wide Area Service providers , by Region USD Million (2015-2020)
  • Table 15. Software Defined Wide Area Enterprises [Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others] , by Region USD Million (2015-2020)
  • Table 16. South America Software Defined Wide Area, by Country USD Million (2015-2020)
  • Table 17. South America Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 18. South America Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 19. South America Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 20. South America Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 21. Brazil Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 22. Brazil Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 23. Brazil Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 24. Brazil Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 25. Argentina Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 26. Argentina Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 27. Argentina Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 28. Argentina Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 29. Rest of South America Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 30. Rest of South America Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 31. Rest of South America Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 32. Rest of South America Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 33. Asia Pacific Software Defined Wide Area, by Country USD Million (2015-2020)
  • Table 34. Asia Pacific Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 35. Asia Pacific Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 36. Asia Pacific Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 37. Asia Pacific Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 38. China Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 39. China Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 40. China Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 41. China Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 42. Japan Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 43. Japan Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 44. Japan Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 45. Japan Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 46. India Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 47. India Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 48. India Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 49. India Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 50. South Korea Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 51. South Korea Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 52. South Korea Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 53. South Korea Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 54. Taiwan Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 55. Taiwan Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 56. Taiwan Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 57. Taiwan Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 58. Australia Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 59. Australia Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 60. Australia Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 61. Australia Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 62. Rest of Asia-Pacific Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 63. Rest of Asia-Pacific Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 64. Rest of Asia-Pacific Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 65. Rest of Asia-Pacific Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 66. Europe Software Defined Wide Area, by Country USD Million (2015-2020)
  • Table 67. Europe Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 68. Europe Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 69. Europe Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 70. Europe Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 71. Germany Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 72. Germany Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 73. Germany Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 74. Germany Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 75. France Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 76. France Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 77. France Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 78. France Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 79. Italy Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 80. Italy Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 81. Italy Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 82. Italy Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 83. United Kingdom Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 84. United Kingdom Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 85. United Kingdom Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 86. United Kingdom Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 87. Netherlands Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 88. Netherlands Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 89. Netherlands Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 90. Netherlands Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 91. Rest of Europe Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 92. Rest of Europe Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 93. Rest of Europe Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 94. Rest of Europe Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 95. MEA Software Defined Wide Area, by Country USD Million (2015-2020)
  • Table 96. MEA Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 97. MEA Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 98. MEA Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 99. MEA Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 100. Middle East Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 101. Middle East Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 102. Middle East Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 103. Middle East Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 104. Africa Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 105. Africa Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 106. Africa Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 107. Africa Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 108. North America Software Defined Wide Area, by Country USD Million (2015-2020)
  • Table 109. North America Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 110. North America Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 111. North America Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 112. North America Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 113. United States Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 114. United States Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 115. United States Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 116. United States Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 117. Canada Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 118. Canada Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 119. Canada Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 120. Canada Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 121. Mexico Software Defined Wide Area, by Type USD Million (2015-2020)
  • Table 122. Mexico Software Defined Wide Area, by Deployment Mode USD Million (2015-2020)
  • Table 123. Mexico Software Defined Wide Area, by Service Type USD Million (2015-2020)
  • Table 124. Mexico Software Defined Wide Area, by End User USD Million (2015-2020)
  • Table 125. Software Defined Wide Area: by Type(USD/Units)
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Software Defined Wide Area: by Type(USD Million)
  • Table 139. Software Defined Wide Area Virtual Appliance , by Region USD Million (2021-2026)
  • Table 140. Software Defined Wide Area Physical Appliance , by Region USD Million (2021-2026)
  • Table 141. Software Defined Wide Area Hybrid , by Region USD Million (2021-2026)
  • Table 142. Software Defined Wide Area: by Deployment Mode(USD Million)
  • Table 143. Software Defined Wide Area On-premises , by Region USD Million (2021-2026)
  • Table 144. Software Defined Wide Area Cloud , by Region USD Million (2021-2026)
  • Table 145. Software Defined Wide Area: by Service Type(USD Million)
  • Table 146. Software Defined Wide Area Consulting , by Region USD Million (2021-2026)
  • Table 147. Software Defined Wide Area Implementation , by Region USD Million (2021-2026)
  • Table 148. Software Defined Wide Area Training , by Region USD Million (2021-2026)
  • Table 149. Software Defined Wide Area Support , by Region USD Million (2021-2026)
  • Table 150. Software Defined Wide Area: by End User(USD Million)
  • Table 151. Software Defined Wide Area Service providers , by Region USD Million (2021-2026)
  • Table 152. Software Defined Wide Area Enterprises [Retail, BFSI, Manufacturing, Healthcare, Transportation and Logistics, Energy and Utilities, Government, Others] , by Region USD Million (2021-2026)
  • Table 153. South America Software Defined Wide Area, by Country USD Million (2021-2026)
  • Table 154. South America Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 155. South America Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 156. South America Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 157. South America Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 158. Brazil Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 159. Brazil Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 160. Brazil Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 161. Brazil Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 162. Argentina Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 163. Argentina Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 164. Argentina Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 165. Argentina Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 166. Rest of South America Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 167. Rest of South America Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 168. Rest of South America Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 169. Rest of South America Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 170. Asia Pacific Software Defined Wide Area, by Country USD Million (2021-2026)
  • Table 171. Asia Pacific Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 172. Asia Pacific Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 173. Asia Pacific Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 174. Asia Pacific Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 175. China Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 176. China Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 177. China Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 178. China Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 179. Japan Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 180. Japan Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 181. Japan Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 182. Japan Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 183. India Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 184. India Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 185. India Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 186. India Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 187. South Korea Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 188. South Korea Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 189. South Korea Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 190. South Korea Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 191. Taiwan Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 192. Taiwan Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 193. Taiwan Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 194. Taiwan Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 195. Australia Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 196. Australia Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 197. Australia Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 198. Australia Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 199. Rest of Asia-Pacific Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 200. Rest of Asia-Pacific Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 201. Rest of Asia-Pacific Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 202. Rest of Asia-Pacific Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 203. Europe Software Defined Wide Area, by Country USD Million (2021-2026)
  • Table 204. Europe Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 205. Europe Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 206. Europe Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 207. Europe Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 208. Germany Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 209. Germany Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 210. Germany Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 211. Germany Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 212. France Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 213. France Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 214. France Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 215. France Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 216. Italy Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 217. Italy Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 218. Italy Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 219. Italy Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 220. United Kingdom Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 221. United Kingdom Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 222. United Kingdom Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 223. United Kingdom Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 224. Netherlands Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 225. Netherlands Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 226. Netherlands Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 227. Netherlands Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 228. Rest of Europe Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 229. Rest of Europe Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 230. Rest of Europe Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 231. Rest of Europe Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 232. MEA Software Defined Wide Area, by Country USD Million (2021-2026)
  • Table 233. MEA Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 234. MEA Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 235. MEA Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 236. MEA Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 237. Middle East Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 238. Middle East Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 239. Middle East Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 240. Middle East Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 241. Africa Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 242. Africa Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 243. Africa Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 244. Africa Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 245. North America Software Defined Wide Area, by Country USD Million (2021-2026)
  • Table 246. North America Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 247. North America Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 248. North America Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 249. North America Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 250. United States Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 251. United States Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 252. United States Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 253. United States Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 254. Canada Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 255. Canada Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 256. Canada Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 257. Canada Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 258. Mexico Software Defined Wide Area, by Type USD Million (2021-2026)
  • Table 259. Mexico Software Defined Wide Area, by Deployment Mode USD Million (2021-2026)
  • Table 260. Mexico Software Defined Wide Area, by Service Type USD Million (2021-2026)
  • Table 261. Mexico Software Defined Wide Area, by End User USD Million (2021-2026)
  • Table 262. Software Defined Wide Area: by Type(USD/Units)
  • Table 263. Research Programs/Design for This Report
  • Table 264. Key Data Information from Secondary Sources
  • Table 265. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Software Defined Wide Area: by Type USD Million (2015-2020)
  • Figure 5. Global Software Defined Wide Area: by Deployment Mode USD Million (2015-2020)
  • Figure 6. Global Software Defined Wide Area: by Service Type USD Million (2015-2020)
  • Figure 7. Global Software Defined Wide Area: by End User USD Million (2015-2020)
  • Figure 8. South America Software Defined Wide Area Share (%), by Country
  • Figure 9. Asia Pacific Software Defined Wide Area Share (%), by Country
  • Figure 10. Europe Software Defined Wide Area Share (%), by Country
  • Figure 11. MEA Software Defined Wide Area Share (%), by Country
  • Figure 12. North America Software Defined Wide Area Share (%), by Country
  • Figure 13. Global Software Defined Wide Area: by Type USD/Units (2015-2020)
  • Figure 14. Global Software Defined Wide Area share by Players 2020 (%)
  • Figure 15. Global Software Defined Wide Area share by Players (Top 3) 2020(%)
  • Figure 16. Global Software Defined Wide Area share by Players (Top 5) 2020(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. Fortinet (United States) Revenue, Net Income and Gross profit
  • Figure 19. Fortinet (United States) Revenue: by Geography 2020
  • Figure 20. HPE (United States) Revenue, Net Income and Gross profit
  • Figure 21. HPE (United States) Revenue: by Geography 2020
  • Figure 22. Fatpipe (United States) Revenue, Net Income and Gross profit
  • Figure 23. Fatpipe (United States) Revenue: by Geography 2020
  • Figure 24. Riverbed (United States) Revenue, Net Income and Gross profit
  • Figure 25. Riverbed (United States) Revenue: by Geography 2020
  • Figure 26. CloudGenix (United States) Revenue, Net Income and Gross profit
  • Figure 27. CloudGenix (United States) Revenue: by Geography 2020
  • Figure 28. Versa Networks (United States) Revenue, Net Income and Gross profit
  • Figure 29. Versa Networks (United States) Revenue: by Geography 2020
  • Figure 30. Adaptiv Networks (Canada) Revenue, Net Income and Gross profit
  • Figure 31. Adaptiv Networks (Canada) Revenue: by Geography 2020
  • Figure 32. Peplink (United States) Revenue, Net Income and Gross profit
  • Figure 33. Peplink (United States) Revenue: by Geography 2020
  • Figure 34. Lavelle Networks (India) Revenue, Net Income and Gross profit
  • Figure 35. Lavelle Networks (India) Revenue: by Geography 2020
  • Figure 36. Martello Technologies (Canada) Revenue, Net Income and Gross profit
  • Figure 37. Martello Technologies (Canada) Revenue: by Geography 2020
  • Figure 38. Mushroom Networks (United States) Revenue, Net Income and Gross profit
  • Figure 39. Mushroom Networks (United States) Revenue: by Geography 2020
  • Figure 40. Zenlayer (United States) Revenue, Net Income and Gross profit
  • Figure 41. Zenlayer (United States) Revenue: by Geography 2020
  • Figure 42. Global Software Defined Wide Area: by Type USD Million (2021-2026)
  • Figure 43. Global Software Defined Wide Area: by Deployment Mode USD Million (2021-2026)
  • Figure 44. Global Software Defined Wide Area: by Service Type USD Million (2021-2026)
  • Figure 45. Global Software Defined Wide Area: by End User USD Million (2021-2026)
  • Figure 46. South America Software Defined Wide Area Share (%), by Country
  • Figure 47. Asia Pacific Software Defined Wide Area Share (%), by Country
  • Figure 48. Europe Software Defined Wide Area Share (%), by Country
  • Figure 49. MEA Software Defined Wide Area Share (%), by Country
  • Figure 50. North America Software Defined Wide Area Share (%), by Country
  • Figure 51. Global Software Defined Wide Area: by Type USD/Units (2021-2026)
List of companies from research coverage that are profiled in the study
  • Fortinet (United States)
  • HPE (United States)
  • Fatpipe (United States)
  • Riverbed (United States)
  • CloudGenix (United States)
  • Versa Networks (United States)
  • Adaptiv Networks (Canada)
  • Peplink (United States)
  • Lavelle Networks (India)
  • Martello Technologies (Canada)
  • Mushroom Networks (United States)
  • Zenlayer (United States)
Additional players considered in the study are as follows:
Cisco (United States) , VMware (United States) , Silver Peak (United States) , Aryaka Networks (United States) , Nokia (Finland) , Oracle (United States) , Huawei (China) , Infovista (France) , Citrix (United States) , Juniper (United States)
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Dec 2021 235 Pages 72 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global Software Defined Wide Area Quantitative research analysis
Global Software Defined Wide Area Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The Software Defined Wide Area market is expected to see a CAGR of % during projected year 2020 to 2026.
Top performing companies in the Global Software Defined Wide Area market are Fortinet (United States), HPE (United States), Fatpipe (United States), Riverbed (United States), CloudGenix (United States), Versa Networks (United States), Adaptiv Networks (Canada), Peplink (United States), Lavelle Networks (India), Martello Technologies (Canada), Mushroom Networks (United States) and Zenlayer (United States), to name a few.
North America is dominating the Software Defined Wide Area Market.

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