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Global Next Generation Networking for Artificial Intelligence (AI) Market Outlook 2018-2023 - Focus on AI Driven SDN, 5G, IoT, and Network Analytics - ResearchAndMarkets.com
[February 26, 2018]

Global Next Generation Networking for Artificial Intelligence (AI) Market Outlook 2018-2023 - Focus on AI Driven SDN, 5G, IoT, and Network Analytics - ResearchAndMarkets.com


The "Next Generation Networking for Artificial Intelligence (AI): Market Outlook for AI Driven SDN, 5G, IoT, and Network Analytics 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

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.

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.

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.

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 ethodologies.



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

Key Topics Covered:


1 Introduction

1.1 Unified Network, IoT, and AI

1.2 AI Driven Network

1.3 Intent Based Network

1.4 Self-driven Networks

1.5 Augmented Intelligence

1.6 AI Technology

1.7 Market Drivers and Challenges

2 Technology and Market Landscape

2.1 Networking Equipment, Platforms, and Services

2.2 Enterprise Networking

2.3 IoT Networking Technology

2.4 IoT Application

2.5 Network Optimization

2.6 Network Automation

2.7 Network Transformation

2.8 Edge Computing and AI

2.9 Software Driven Networking (SDN)

2.9.1 SDN Architecture

2.10 Software Defined Infrastructure (SDI)

2.11 AI-Defined Infrastructure (ADI)

2.12 Network Function Virtualization (NFV)

2.13 Telecom Infrastructure and Cloud RAN (C-RAN)

2.14 New Radio Technology and 5G Network

2.15 AI Powered Network Analytics

2.16 Competitive Landscape

3 AI Driven Networking Market Analysis and Forecasts

3.1 Total AI-driven Networking Solution Market

3.2 AI driven Networking Solution Market by Segment

3.3 AI Driven Networking Solution Market by AI Technology Type

3.4 AI Driven Networking Solution Market by Deployment Type

3.5 AI Driven Networking Solution Market by Industry Sector

3.6 AI Driven Networking Solution Market by Organization Type

3.7 AI Driven Networking Solution Market by Network Type

3.8 AI Driven Networking Solution Market by Network Platform

3.9 AI Driven Networking Solution Market by IoT Application Type

3.10 AI Driven Networking Solution Market by 5G Network Type

3.11 AI Driven Networking Solution Market by Industry Vertical

3.12 AI Driven Networking Solution Market by Region

4 Company Analysis

4.1 Cisco Systems (News - Alert)

4.2 Hewlett Packard Enterprise (HPE)

4.3 IBM Corporation

4.4 Samsung Electronics Co Ltd.

4.5 Baidu Inc.

4.6 NVIDIA (News - Alert) Corporation

4.7 Google Inc.

4.8 Microsoft Corporation

4.9 Dell EMC

4.10 Nokia Corporation

4.11 ARM (News - Alert) Limited

4.12 Xively

4.13 PTC Corporation

4.14 Huawei Technologies Co. Ltd.

4.15 ZTE Corporation

4.16 Intel Corporation

4.17 Ericsson AB

4.18 Fujitsu Ltd.

4.19 NEC Corporation

4.20 H2O.ai

4.21 Qualcomm (News - Alert) Incorporated

4.22 Juniper Networks, Inc.

4.23 Accenture PLC

4.24 Brocade Communication Systems

4.25 VMware Inc.

4.26 Aricent (News - Alert) Inc.

4.27 Arista Networks Inc.

4.28 Extreme Networks

4.29 NETSCOUT

4.30 ECI Telecom

4.31 Foxconn Electronics Inc.

4.32 NETGEAR

4.33 Riverbed Technology

5 Conclusions and Recommendations

5.1 Artificial Intelligence Providers

5.2 Broadband Infrastructure Providers

5.3 Communication Service Providers

5.4 Computing Companies

5.5 Data Analytics Providers

5.6 Networking Equipment Providers

5.7 Networking Security Providers

5.8 Semiconductor Companies

5.9 IoT Suppliers and Service Providers

5.10 Software and Platform Providers

For more information about this report visit https://www.researchandmarkets.com/research/5gnq8v/global_next?w=4


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