The Wide Area Network Optimization Market size is projected to grow from USD 1.0 billion in 2020 to USD 1.4 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 6.7% during the forecast period. The major factors driving the growth of the WAN optimization market include the rising need to ensure the quality of user experience and productivity, growing number of data centers and branch offices, and increasing cloud-based WAN optimization solutions.
The solutions segment to hold a larger market size during the forecast period
WAN optimization solutions consist of traditional WAN and SD-WAN. These solutions significantly boost WAN performance with the help of application acceleration and better utilization of existing WAN infrastructure that enables organizations to save costs on various additional hardware, software, and bandwidth. The traditional WAN optimization solution works on various techniques, such as load balancing, Quality of Service (QoS), deduplication, caching, and compression. While SD-WAN uses a centralized control function to securely and intelligently direct traffic across WAN, which increases application performance, offers enhanced user experience, increases business productivity, and reduces costs for IT. Most of the enterprises have taken applications out of branch offices and consolidated them in centralized data centers, and work force accessing these applications is highly distributed at distant locations. As the use of Software-as-a-Service (SaaS) increases, the amount of application traffic that transits WAN also increases. This traffic increase makes enterprises much more interested in deploying WAN optimization solutions.
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The small and medium-sized enterprises segment to record a higher growth rate during the forecast period
The rising usage of cloud for the deployment of WAN optimization solutions has led to the increasing adoption of these solutions among Small and Medium-sized Enterprises (SMEs). WAN optimization solutions are expensive and complex in nature. However, the availability of these solutions on cloud has reduced the cost problem as cloud-based solutions are less expensive as compared to on-premises solutions. SMEs have budget constraints; so, they prefer cloud-based solutions available in the market. SMEs’ criteria is based on various metrics, such as revenue generated and ownership structure. Cloud-based solutions are developed, keeping in mind the limited budget of SMEs.
The key market players profiled in this report Cisco (US), Riverbed (US), Citrix (US), Infovista (UK), Silver Peak (US), Array Networks (US), Aryaka (US), Circadence (US), Fat Pipe (US), Nuage Networks(US), Oracle (US), Huawei(China), Wanos (South Africa), Equinix (US), Exinda (US), F5 (US), Aruba (US), and VMware(US). These players have adopted various growth strategies, including partnerships and new service launches, to expand their presence in the WAN optimization market and increase their customer base.
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Cisco offers the infrastructure platform product category that represents core networking offerings related to switching, routing, wireless, and data centers. The routing portfolio of the company contains SD-WAN. In 2018, Cisco introduced the principles of Cisco DNA for the routing portfolio and secure SD-WAN. Cisco’s SD-WAN offers WAN optimization capabilities to optimize network and application performance. Cisco’s Wide Area Application Services (WAAS) offers advanced WAN optimization and application acceleration to deliver high-quality digital experiences. The company is applying the latest technologies, such as machine learning and advanced analytics, to operate and enhance network capabilities.across Hybrid WAN. This solution enhances visibility into application and network performance, and end user experience. It offers various features, including accelerated performance, complete IT control, data protection, and problem resolution. It also offers various products related to WAN optimization. These products include SteelHead CX, SteelHead SD, SteelHead SaaS, SteelHead Mobile, SteelHead Interceptor, and SteelCentral Controller for SteelHead.
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