Cognitive Network Management represents one of the most important emerging network infrastructure opportunities. Network operators have made great strides with existing Self-organizing Network (SON) technologies. However, Artificial Intelligence (AI), in combination with Software-Defined Networking (SDN) and advanced analytics, is poised to take autonomous, intelligent network operation and control to an entirely new level. While AI has not yet made extensive inroads into the realm of networks, cellular systems in particular will soon achieve early and extensive success through the combination of Machine Learning, SDN, and advanced data analytics technologies.
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The potential economic and social benefits cannot be overstated as networks will achieve and entirely new level of self-awareness, self-configuration, self-optimization, self-healing, and self-protection. This will be a benefit for existing networks as well as evolved LTE, emerging Internet of Things (IoT) systems, and soon to be launched 5G networks. An interdisciplinary approach will be required for systems integration as many technologies are brought together including Machine Learning, SDN, Network Function Virtualization (NFV), Network Slicing, Quality of Service Management, and advanced security methodologies.
This research 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 evaluated.
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The report analyzes technologies, products, and solutions from key solution providers, identifying key companies in each segment of the competitive landscape. The report also provides a comprehensive quantitative assessment of the AI driven networking market based on major market segments and sub-segments, AI technology type, deployment type, network type, industry vertical and region. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.
Select Findings:
Total AI driven networking solution market is expected to reach $5.8 billion by 2023
Over 50% of the enterprise organizations will leverage AI technology for networking by 2023
Healthcare, Manufacturing, and Retail will be the greatest benefitting industry verticals by revenue
Driven by Mobile Edge Computing (MEC), local network optimization will lead the software solution arena
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
Companies in Report:
Accenture PLC
Aricent Inc.
Arista Networks Inc.
ARM Limited
Baidu Inc.
Brocade Communication Systems
Cisco Systems
Dell Technologies Inc.
ECI Telecom
Ericsson AB
Extreme Networks
Foxconn Electronics Inc.
Fujitsu Ltd.
Google Inc.
H2O.ai
Hewlett Packard Enterprise
Huawei Technologies Co. Ltd.
IBM Corporation
Intel Corporation
Juniper Networks, Inc.
Microsoft Corporation
NEC Corporation
NETGEAR
NETSCOUT
Nokia Corporation
NVIDIA Corporation
PTC Corporation
Qualcomm Incorporated
Riverbed Technology
Samsung Electronics Co Ltd.
VMware Inc.
Xively
ZTE Corporation
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Major Points From The Table Of Contents:
Introduction
Technology and Market Landscape
AI driven Networking Market Analysis and Forecasts
Company Analysis
Conclusions and Recommendations
Figures
Figure 1: AI Driven Network
Figure 2: AI Technology for Networking
Figure 3: Cisco High Value Service Model
Figure 4: SDN Framework for IoT
Figure 5: 5G NR Requirement for AI Network
Figure 6: AI Driven Networking Ecosystem and Competitive Landscape
Figure 7: Global Total AI Driven Networking Solution Market 2018 – 2023
Figure 8: Global Total AI Driven Networking Solution Market Yearly Growth Rate 2018 – 2023
Figure 9: Cisco Enterprise NFV Architecture
Figure 10: Dell NFV Solution Architecture
Tables
Table 1: Benefits of NFV in IoT System
Table 2: Global AI Driven Networking Solution Market by Segment 2018 – 2023
Table 3: Market Share of Global AI Driven Networking Solution Market by Segment
Table 4: Global AI Driven Networking Solution Market by Hardware Type 2018 – 2023
Table 5: Market Share of Global AI Driven Networking Solution Market by Hardware Type
Table 6: Global AI Driven Networking Solution Market by Hardware Equipment Type 2018 – 2023
Table 7: Market Share of Global AI Driven Networking Solution Market by Hardware Equipment Type
Table 8: Global AI Driven Networking Solution Market by Hardware Component Type 2018 – 2023
Table 9: Market Share of Global AI Driven Networking Solution Market by Hardware Component Type
Table 10: Global AI Driven Networking Solution Market by Software Type 2018 – 2023
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