Managed intelligent WAN services provide software defined networking to a wide area network (WAN). This helps appliances make intelligent routing assessments on whether a request gets transmitted across an Internet connection or a multiprotocol label switching (MPLS) network while selecting a link that is grounded on its accessibility or the value of service that is required by the applications. Intelligent WAN is at the juncture of a number of discrete technologies that include, WAN optimization, perimeter security, branch/edge routers, and the capability to monitor and manage WAN connectivity. This technical conjunction is being used to improve the inventive network software related to Software Defined Networks (SDN).

Handling a large number of branch processes over a WAN is both expensive and challenging. Organizations with multiple branch offices need fast, reliable, and secure connectivity to the WAN and enterprise data center. The new intelligent WAN services and products are mainly driven by technologies. Customer necessities for intelligent WAN functionality, along with software-based networking possibilities and cloud-based delivery models, are anticipated to transform the WAN market. This is one of the main reasons projected to drive the demand for managed intelligent WAN services during the forecast period. However, number of employees in geographically distributed sites requiring access to VPNs and data, anytime and anywhere, has been on the rise in enterprises. IT organizations have to support an extensive range of devices that includes, tablets, PCs, and smartphones. In addition, managed intelligent WAN service providers sometimes are not able to troubleshoot customer application performance concerns cost-effectively and efficiently, taking longer time to identify and fix outages. This results in poor customer satisfaction. As such, these factors are projected to hamper the managed intelligent WAN services market during the forecast period.

The global managed intelligent WAN services market can be segmented based on deployment, application, enterprise size, end-user, and geography. Based on deployment, the market can be classified into on-premise, cloud, and hybrid. The cloud segment can be categorized into public and private. On the basis of application, the managed intelligent WAN services market can be divided into file sharing, email, web apps, software distribution, data replication, backup apps, and others. In terms of enterprise size, the market can be categorized into small and medium enterprises and large enterprises. Based on end-user, the managed intelligent WAN services market can be divided into banking financial services and insurance, health care, retail, government, transportation & logistics, hospitality, and others.

Based on geography, the global managed intelligent WAN services market can be classified into North America, South America, Asia Pacific, Europe, and Middle East & Africa. The managed intelligent WAN services market in North America is expected to grow rapidly during the forecast period due to technological advancement and increasing usage of managed intelligent WAN services across industry verticals in the region. Asia Pacific is expected to be a lucrative market for managed intelligent WAN services during the forecast period. This is mainly due to the increasing number of small enterprises in the region. Moreover, rise in the number of organizations with branch offices require managed intelligent WAN for fast, secure, and reliable connectivity, which is anticipated to drive the demand for managed intelligent WAN services market in the near future.

Key players operating in the global managed intelligent WAN services market are focused on offering solutions as per user requirements. They offer implementation of different technologies and upgrade and expansion of existing systems. Companies compete on factors, such as product quality and price. The global managed intelligent WAN services market is characterized by the presence of a large number of key players, such as, SevOne, Akamai Technologies, and Cisco Systems, Inc.

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