What’s driving the Enterprise Networking Market trends? | Key Players are Arista, Broadcom, Checkpoint, Cisco, Dell Technologies, Extreme Networks, F5 Networks, FireEye, Fortinet, HPE, Huawei, Juniper

Enterprise Networking market is projected to surpass USD 90 billion by 2024. With the increasing popularity of the mobility trend and growing connectivity demands, enterprises are finding new ways to modernize their networks and expand their networking capabilities. Enterprise networking market solutions enable them to ensure that their networks are optimized for reliability and managing network components such as switches, cabling, and routers. The massive production of corporate information due to the advent of Big Data has put a strain on traditional networks. Thus, to improve the network?s resiliency and efficiency, enterprises are deploying solutions, which help them in optimizing their network traffic and storage for accommodating new network resources.

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Another factor driving the enterprise networking market growth is the extensive adoption of machine learning to solve a broad range of networking and security challenges. Machine learning algorithms are used to monitor networks, deliver insights in case of anomalies, and recommend how to best optimize the network. Emerging network analytics services powered by AI and machine learning are being increasingly used to transform traditional network infrastructure management models.
The BFSI vertical in the enterprise networking market is expected to grow at a CAGR of over 4% from 2018 to 2024. Hackers are targeting banking institutions as they hold huge amounts of customer information and their financial records. The growing instances of cyber-attacks on financial IT networks have prompted institutions to undertake initiatives for modernizing their network security policies.
Also, banks are rapidly adopting the virtualization technology due to the emerging needs of banks and other financial institutions to have an infrastructure that can accommodate multi-channel digital services and handle increasing data flows. A wide variety of virtualization approaches such as machine OS virtualization, application virtualization, and desktop virtualization allow them to significantly reduce costs and manage IT resources in a more centralized manner.

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3. Enterprise networking Industry Insights

3.1. Introduction
3.2. Industry segmentation
3.3. Industry landscape, 2013-2024
3.4. Enterprise networking ecosystem analysis
3.4.1. Hardware component providers
3.4.2. Network management software providers
3.4.3. Network security providers
3.4.4. Cloud service providers
3.4.5. Integrators
3.4.6. Managed service providers
3.4.7. Distributors
3.4.8. End users
3.5. Working/Architecture of enterprise networking
3.6. Technology & innovation landscape
3.6.1. Software-Defined WAN (SD-WAN)
3.6.2. Virtual Customer Premise Equipment (vCPE)
3.6.3. Bring Your Own Device (BYOD)
3.6.4. AI and machine learning

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Companies operating in the enterprise networking market are implementing new solutions to accelerate the provisioning of new customers, applications, and networks with cloud-scale efficiency. For instance, in March 2018, Telefonica Spain partnered with Nokia and Nuage Networks to build data center network investiture. The company extended its SD-WAN infrastructure and included new software-defined data centers, which helped to expand the agility and scalability of its cloud-based services. Major internet service providers are using cloud-based solutions to enhance the manageability of network architectures. For instance, in September 2018, Equinix invested USD 73 million to open its first International Business Exchange (IBX) data center in Paris.

Anti-virus solutions held a majority of the market share in 2017 and are expected to maintain the market dominance in the enterprise networking markets due to rising instances of malware attacks on enterprise networks. As several malware programs are created by attackers each day, the demand for robust antimalware solutions is expected to increase over the forecast timeline.

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