This report assesses the impact of AI in various networking products and solutions including embedded equipment, components, and software platforms (network automation, optimization, and transformation). The report also evaluates the role of SDN, Edge Computing, NFV, and Augmented Intelligence in the formation and support of AI driven networking ecosystems.

In addition, the impact of 5G networks, IoT technology and systems, and network analytics functions is also analyzed. The report assesses technologies, products, and solutions from key solution providers, identifying key companies in each segment of the competitive landscape.

The report also provides forecasts for the AI-driven networking market based on major market segments and subsegments, AI technology type, deployment type, network type, industry vertical and region. The report provides qualitative and quantitative analysis for AI in Next Generation Networking by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industrial, and Government), and Industry Vertical from 2021 through 2026.

Select Report Findings:
  • The total market for AI in networking will reach nearly $8B globally by 2026
  • The enterprise segment will lead the AI-enabled networking market, reaching $2.7B by 2026
  • Combination of AI and distributed cognitive computing will lead to computation-oriented communications
  • AI-enabled networking will support many solutions, such as incremental growth of $565M in the asset tracking market by 2026
  • AI-enabled networking will facilitate significant cost savings for CSPs and substantial new services realization across industry verticals
Artificial Intelligence is rapidly becoming an integral part of various digital technologies including software and many aspects of ICT infrastructure. For example, the AI chipset marketplace is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. With 85% of all chipsets globally shipping AI-equipped, over 63% of all electronics will have some form of embedded intelligence by 2026.

Infrastructure is anticipated to be one of the primary focus areas for AI as network operators seek to reduce costs and improve efficiencies while simultaneously reducing the incidence of errors and adverse network events. AI technology will play a key role in the transformation of network intelligence to become increasingly self-driven. Technologies like cognitive computing, machine learning, deep learning, and predictive application will be fundamental to the transformation of network configuration automation and operational autonomy.

AI-driven networking is going to impact wireless networking of all sizes for all communication service providers, improving service realization and support, and ultimately impacting every industry vertical from transportation to medical care to financial services. Furthermore, Mind Commerce sees the convergence of AI and Internet of Things (IoT) technologies and solutions (AIoT) leading to “thinking” networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals.

In terms of the impact of AI on wireless networks, the evolution is already underway from a standards and network topology approach with 5G service-based architectures. Implementation within public communications service providers will scale slowly due to legacy systems such as OSS/BSS. However, closed-loop private 5G wireless networks will be in the vanguard of AI network deployment.

This evolution will lead to AI-enabled functions throughout 6G networks within the 2030 to 2040 timeframe. This will include contextually agile RF networks that support event-driven adaptation and resource allocation optimization. It will also include many improvements at the device level such as AI-enabled distributed computing, which will facilitate persistent computation-oriented communications.

Target Audience:
  • AI solution providers
  • Data management vendors
  • Telecom network operators
  • IoT and M2M solution providers
  • Industry automation companies
  • Network infrastructure providers
  • Computing and data services providers
Report Benefits:
  • AI in networking forecasts for 2021 through 2026
  • Identify the leading companies, strategies, and solutions
  • Understand the impact of AI on IT and telecom networks
  • Identify opportunities for infrastructure, products and services delivery
  • Understand how disparate technologies are integrated with AI for solutions
Companies in Report:
  • Accenture PLC
  • Aricent Inc.
  • Arista Networks Inc.
  • ARM Limited
  • Baidu Inc.
  • Brocade Communication Systems
  • Cisco Systems
  • Dell EMC
  • ECI Telecom
  • Ericsson AB
  • Extreme Networks
  • Foxconn Electronics Inc.
  • Fujitsu Ltd.
  • Google Inc.
  • Hewlett Packard Enterprise
  • Huawei Technologies Co. Ltd.
  • IBM Corporation
  • Intel Corporation
  • Juniper Networks, Inc.
  • Microsoft Corporation
  • NEC Corporation
  • Nokia Corporation
  • Nvidia Corporation
  • PTC Corporation
  • Qualcomm Incorporated
  • Riverbed Technology
  • Samsung Electronics Co Ltd.
  • VMware Inc.
  • Xively
  • ZTE Corporation