SD-WAN Market Overview
Based on offering, the SD-WAN market is classified into solution and service. Of these, the SD-WAN solution category accounted for more than 77% of the market revenue in 2017 and will continue to contribute larger revenue during the forecast period as well. Further, SD-WAN solutions are categorized into WAN infrastructure, and SD-WAN control and overlay; between the two, WAN infrastructure held a larger revenue share in 2017. This can be attributed to the advantageous features of WAN infrastructure, mainly advanced management and monitoring of customer-oriented network infrastructure on a larger scale through protocols, routing technologies, optimal performance measures, traffic control and device reporting.
SD-WAN service category includes communication service provider (CSP) SD-WAN managed and cloud-managed SD-WAN; where CSP SD-WAN managed services generated over 75% revenue in the SD-WAN service market in 2017. It is also projected to be the faster growing category during the forecast period, as it provides improved security, smooth interoperability, and increased visibility in traffic, which is essential for telecommunications providers who transport their information electronically.
Based on appliance, the SD-WAN market is categorized into virtual, physical, and hybrid appliances. Virtual SD-WAN appliance accounted for largest revenue share in 2017 and is expected to be the largest revenue generator during the forecast period. SD-WAN vendors provide virtual and physical appliances, which are placed in large offices, small branch offices, data centers, and cloud platforms such as amazon web services (AWS).
Based on implementation type, the SD-WAN market is classified into in-house and outsourced implementation services; out of these, in-house SD-WAN implementation held a larger share in 2017. During the forecast period, outsourced implementation type is expected to witness faster growth, with a CAGR of 59.5%, due to increasing demand for outsourced implementation as it reduces the risk of failure and complexity associated with in-house solution deployment.
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