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Network Automation Industry Outlook and Development Status Review
Network Automation Industry Outlook and Development Status Review
Network Automation Industry by SD-WAN, Network Automation Tool, Intent-Based Networking, Network Infrastructure (Physical, Virtual, and Hybrid Network Configuration, and Automation), Service, Deployment, Vertical, and Region - Global Forecast to 2022

The globalnetwork automation industry size is expected to grow from USD 2.3 billion in2017 to USD 16.9 billion by 2022, at a Compound Annual Growth Rate (CAGR) of48.7% during the forecast period. Major driving factors for the networkautomation market are critical need for network bandwidth management andnetwork visibility, and growing adoption of smart connected devices acrossindustry verticals. Growing adoption of virtual and software-defined networkinfrastructure and network downtime caused through human errors are some of theother factors expected to contribute to the growth of the network automation industry.

Browse 71market data Tables and 46 Figures spread through 142 Pages and in-depth TOC on"Network Automation Industry by SD-WAN, Network Automation Tool, Intent-Based Networking,Network Infrastructure (Physical, Virtual, and Hybrid Network Configuration,and Automation), Service, Deployment, Vertical, and Region - Global Forecast to2022"

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The virtualnetwork configuration and automation segment is based on the requirement andneed to enable installation and provision of virtual machines, virtual devicesand workloads. The automation of virtual devices and machines ensures thatthere are no bottlenecks by providing centralized visibility and control intothe utilization and capacity of virtual devices in the virtual networkinfrastructure. Virtual network configuration and automation is essential forenterprises to improve their network agility and enhance its availability.

The majornetwork automation industry vendors include Cisco (US), Juniper Networks (US),IBM (US), Micro Focus (UK), NetBrain Technologies (US), SolarWinds (US),Riverbed Technology (US), BMC Software (US), Apstra (US), BlueCat (Canada),Entuity (UK), and Veriflow (US). These players have adopted various growthstrategies, such as partnerships, agreements, and collaborations; and newproduct launches, to further expand their presence in the network automationmarket. New product launches, partnerships, and agreements have been the mostadopted strategies by the major players from 2015 to 2017, which helped theminnovate their offerings and broaden their customer base.

Cisco is one of the leading players in thenetwork automation market. The company adopts both organic and inorganic growthstrategies to enhance its market presence. In 2017, Cisco launched anintent-based networking solution. This intuitive solution anticipates action,stops security threats, and continues to evolve and learn. This new solution isthe result of heavy investments in R&D by Cisco for the development ofautomated networking solutions. Cisco has also actively acquired companies. Forinstance, Cisco acquired Viptela, an SD-WAN company, to expand its SD-WAN andautomation portfolio. Cisco would commit its engineering resources to furtherenhance Viptela’s SD-WAN solution. The acquisition of Viptela fits into Cisco’sstrategic transition toward a software-centric and automated networking model.

JuniperNetworks is anotherestablished vendor in the network automation market. The company has a strongpresence across North America, Asia Pacific (APAC), Middle East and Africa(MEA), Europe, and Latin America. The company focuses more on organic growthstrategies to tap opportunities in the network automation market. In 2017,Juniper Networks launched Cloud-Grade Networking to accelerate agility andinnovation in the Cloud Era. This solution will help reduce the operationalcomplexity of managing end-user’s diverse application needs. In addition, thecompany is dedicated to creating high-performance networks. For instance, in2017, Juniper Networks enhanced its SDSN platform by introducing automatedenforcement, real-time intelligence, and machine learning.

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