Network Edge Security Solutions Market: Surging Adoption of Artificial Intelligence Technology In Industries is Likely To Provide Lucrative Opportunities To The Market

Network edge device acts as the entry or exit point for a network, and controls the flow of data at the boundary between a trusted internal infrastructure and external networks. Network edge devices provide functions such as routing, processing, monitoring, filtering, translation, and storage of data passing between networks. With growing number of internet connected devices across ethernet, Wi-Fi, and other technologies such as Bluetooth and IoT, malicious actors are increasingly launching sophisticated attack strategies in order to disrupt network operations or steal confidential data, and the need to maintain a secure and effective network has become time-consuming and expensive for organizations.

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Organizations that may not have earlier prioritized their networking strategy are now implementing infrastructure that is capable of handling data from wired and wireless endpoints, such as, smartphones, laptops, servers, tablets, and other connected sensors or devices including, point-of-sales (POS) systems. The need for smart network edge solutions has expanded from educational campuses and IT industries to retail, manufacturing, healthcare, hospitality, event stadiums, and entertainment industries. Organizations are now demanding network edge security solutions that detect, isolate, and fix threats and issues to their internal network, as and when they occur.

Driving factors of the global network edge security solutions market include rise in adoption of Bring Your Own Device (BYOD) policy, increase in consumption of data on mobile devices, and the advent of Internet of Things (IoT) technology, which have created the need to connect multiple, diverse devices to the network, with each of these devices generating data in different formats and protocols.

Surging adoption of Artificial intelligence (AI) technology in industries is likely to provide lucrative opportunities to the network edge security solutions market. Artificial Intelligence is capable of intelligently collecting and analyzing user data, and can allow network administrators to understand network performance and bottlenecks in a better way, track customer engagement, improve operational efficiency, and monetize the network more effectively. Implementation of Artificial Intelligence in networks can support the retail industry to analyze behavior of the users in the network and provide business insights, contextual information, and location-based analytics.

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Further, with the introduction of cloud-based web application firewall (WAF) appliances, organizations can now have additional scalability, cost-effectiveness, and flexibility, with real-time updates on threat intelligence and reputation feeds from global network analysis and third-party Security Information and Event Management Software (SIEMS), ensuring applications are up-to-date with the most recent patches, allowing the network to better defend against previously unknown threats, which is expected to create opportunities for the network edge security solutions market.

The network edge security solutions market can be segmented based on deployment model, enterprise size, end-user industry, solutions, and region. In terms of deployment model, the market can be divided into cloud-based and on-premise models. Based on enterprise size, the network edge security solutions market can be bifurcated into small and medium enterprises (SMEs) and large enterprises. In terms of end-user industry, the market can be categorized into education, healthcare, retail, hospitality, sports, entertainment, IT and IT enabled services industries.

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