The Global Software-Defined Wide Area Network (SD-WAN) Market is expected to grow at a significant CAGR during the forecast period. A software-defined wide area network is a network that separates from its hardware, and is created in a virtualized overlay. SD-WAN also enables the organization to make use of any combination of transport services, such as LTE broadband internet and MPLS services, to securely connect users to applications. SD-WAN also connect various branch offices to a central hub office and cover multiple locations on a big campus. It also uses centralized control to safely and intelligently direct traffic across the wide-area network. This improves application speed while simultaneously providing a high-quality user experience, resulting in greater company productivity, lower IT costs, and agility. The software-defined wide area network provides benefits such as reduced costs, enhanced application performance, optimized user efficiency, and simpler operations through automation and cloud-based management.

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The growing demand for enterprise mobility has resulted in the increased use of mobile personal devices such as cell phones, laptop computers, and tablets to access corporate networks. The existing IT infrastructure is under pressure to set up these devices robustly, while adhering to compliance requirements and regulations. The development of such massive mobile databases requires parallel processing across multiple servers and seamless connectivity. As a result, there is a constant demand for increased network capacity and more advanced network solutions. Rising demand for mobility services will drive the Software-Defined Wide Area Network (SD-WAN) market growth globally.

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In May 2020,- the Swiss business enterprise market, Aryaka collaborated with T-Systems Switzerland (a part of Deutsche Telekom's large-business sector). T-Systems Switzerland will use the Aryaka SD-WAN solution for its clients in Metropolitan Area Network, Managed LAN, Unified Communications (UCC), and Network Security Services.

Market Coverage

·        The market number available for – 2020-2027

·        Base year- 2020

·        Forecast period- 2021-2027

·        Segment Covered-

o             By Component Type

o             By Network Type

o             By Development

o             By Organizational size

o             By End-users

·        Competitive Landscape- Aryaka Networks, Nokia, Adaptive Networks, Peplink, Lavelle Networks, and Martello Technologies, among others.

Key questions addressed by the report

·        What is the market growth rate?

·        Which segment and region dominates the market in base year?

·        Which segment and region will project fastest growth in the market?

·        How COVID-19 impacted the market?

o             Recovery Timeline

o             Deviation from pre-COVID forecast

o             Most affected region and segment

·        Who is the leader in the market?

·        How players are addressing challenges to sustain growth?

·        Where is the investment opportunity?

Global SD-WAN Market Segmentation

By Component Type

·        Solution

·        Services

By Network Type

·        Multiprotocol Label Switching

·        Broadband

·        Long-Term Evolution

·        Hybrid

By Deployment Mode

·        Cloud

·        On-Premise

By Organization Size

·        Large Enterprises

·        Small and Medium-Sized Enterprises

By End-User

·        Service Providers

·        Verticals

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Software-Defined Wide Area Network (SD-WAN) Market– Segment by Region

North America          

·        United States

·        Canada

Europe

·        Germany

·        United Kingdom

·        France

·        Spain

·        Italy

·        Rest of Europe

Asia-Pacific   

·        China

·        Japan

·        India

·        Rest of Asia-Pacific

Rest of the World

·        Middle East & Africa

·        Latin America

Company Profiles

·        Aryaka Networks

·        Nokia

·        Adaptive Networks

·        Peplink

·        Lavelle Networks

·        Martello Technologies

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