Pune, India -- (SBWIRE) -- 06/19/2018 -- This report gives a detailed and comprehensive understanding of Next Generation Networking for Artificial Intelligence market. With precise data covering all key aspects of the existing market, this report offers existing data of leading manufacturers. Understanding of the market condition by compliance of accurate historical data regarding each and every segment for the forecast period is mentioned.

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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Top Key Vendors:
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

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.

Next Generation Networking for Artificial Intelligence also gives detailed insight into the competitive landscape and the vendors of Next Generation Networking for Artificial Intelligence market with detailed business profiles of the key players. Data about the companies, specifications of their respective products, various portfolios, fanatical overview, generation of revenue, recent developments and upcoming challenges about Next Generation Networking for Artificial Intelligence are well explained.

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Table Of Content:

Chapter 1 Industry Overview of Next Generation Networking for Artificial Intelligence Market

Chapter 2 Manufacturing Cost Structure Analysis of Next Generation Networking for Artificial Intelligence Market

Chapter 3 Technical Data and Manufacturing Plants Analysis of Next Generation Networking for Artificial Intelligence Market

Chapter 4 Global Next Generation Networking for Artificial Intelligence Overall Market Overview

Chapter 5 Next Generation Networking for Artificial Intelligence Regional Market Analysis

Chapter 6 Major Manufacturers Analysis of Next Generation Networking for Artificial Intelligence

Chapter 7 Development Trend of Analysis of Next Generation Networking for Artificial Intelligence Market

Chapter 8 Next Generation Networking for Artificial Intelligence Marketing Type Analysis

Chapter 9 Conclusion of the Global Next Generation Networking for Artificial Intelligence Market Professional Survey Report 2018

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