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Fifth generation (5G) cellular will transform the ICT industry through substantially enhanced mobility services, massively scalable Internet of Things (IoT) networks, and support for critical apps and services by way of ultra-low latency communications. With these anticipated improvements come great responsibilities for privacy and security. The 5G Security Market must be robust as solutions need to be deployed on multiple levels including devices, air interface equipment, cloud RAN infrastructure, mobile backhaul facilities, and more. Leading companies such as Palo Alto Networks, Cyberlance (BlackBerry), and others are poised to capitalize on the market for securing 5G based networks, systems, applications, and services.

5G Security Market: Technologies, Solutions, and Market Outlook 2018 – 2023 evaluates the 5G threat landscape as well as technologies and solutions to secure networks, platforms, devices, data, and applications. The report assesses the 5G security market outlook and potential for many 5G security solutions and services. It also evaluates the impact of security functions across various technologies including Mobile Edge Computing (MEC), IoT networks, and general mobility infrastructure. The report includes detailed 5G security market forecasts for all major technologies, industry verticals, solutions and service types from 2018 – 2023.

At the macro level, cybersecurity spending is driven by the realization of increasingly more voluminous and sophisticated global threats to digital infrastructure. At the business level, company reliance upon the Internet, open interfaces and communication between customers and other companies necessitates robust cybersecurity solutions. In addition, new technologies and solutions such as the Internet of Things (IoT) will require new approaches to cybersecurity and hence innovative solutions.

Artificial Intelligence (AI) is rapidly becoming integrated into many aspects of communication, applications, content, and commerce. IoT is a particularly important area for AI as a means for safeguarding assets, reducing fraud, and supporting analytics and automated decision making. One of the major concerns is illegal capture and trade of IoT data which includes users’ activities and records such as personal health, financial information, location, and asset information such as personal vehicles.