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Artificial Intelligence in Next Generation Networking by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industrial, and Government), and Industry Verticals 2021 - 2026


次世代ネットワーキングにおける人工知能:インフラ、ネットワークタイプ、IoTソリューション、セグメント(消費者、企業、産業、政府)、業種 2021-2026年

この調査レポートは次世代ネットワークにおける人工知能について調査し、主要セグメント別分析・予測結果や主要企業情報などを提供しています。 Overview This report assesses the impact of AI ... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 図表数 言語
Mind Commerce
マインドコマース
2021年1月9日 US$2,500
シングルユーザライセンス
ライセンス・価格情報
注文方法はこちら
112 56 英語

 

Summary

この調査レポートは次世代ネットワークにおける人工知能について調査し、主要セグメント別分析・予測結果や主要企業情報などを提供しています。

Overview

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.
  • 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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Table of Contents

Table of Contents

1.0 Executive Summary

2.0 Introduction
2.1 Unified Networks involving AI and IoT
2.2 AI Driven Networks
2.3 AI in Wireless Network Strategy
2.4 Intent Based Networks
2.5 Self-driven Networks
2.6 Augmented Intelligence
2.7 AI Technologies in Networking
2.8 Market Drivers and Challenges

3.0 Technology and Application Analysis
3.1 Networking Equipment, Platforms, and Services
3.2 Enterprise Networking
3.3 IoT Networking Technology
3.3.1 Short Range Wireless Technologies
3.3.2 Long Range Wireless Technologies
3.4 IoT Application
3.5 Network Optimization
3.6 Network Automation
3.7 Network Transformation
3.8 Edge Computing and AI
3.9 Software Driven Networking
3.10 Software Defined Infrastructure
3.11 AI-Defined Infrastructure
3.12 Network Function Virtualization
3.13 Telecom Infrastructure and Cloud RAN
3.14 New Radio Technology and 5G Network
3.15 AI Powered Network Analytics
3.16 Competitive Landscape

4.0 Company Analysis
4.1 Cisco Systems
4.2 Hewlett Packard Enterprise
4.3 IBM Corporation
4.4 Samsung Electronics Co Ltd.
4.5 Baidu Inc.
4.6 Nvidia Corporation
4.7 Google Inc.
4.8 Microsoft Corporation
4.9 Dell EMC
4.10 Nokia Corporation
4.11 ARM 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 Incorporated
4.22 Juniper Networks, Inc.
4.23 Accenture PLC
4.24 Brocade Communication Systems
4.25 VMware Inc.
4.26 Aricent 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

5.0 Market Analysis and Forecast 2021 - 2026
5.1 Global AI Networking Solution Market 2021 - 2026
5.2 Global AI Networking Solution Market by Segment
5.2.1 Global AI Networking Solution Market by Hardware
5.2.1.1 Global AI Networking Solution Market by Hardware Equipment
5.2.1.2 Global AI Networking Solution Market by Hardware Component
5.2.2 Global AI Networking Solution Market by Software
5.2.2.1 Global AI Networking Solution Market by Network Management Software
5.2.2.1.1 Global AI Networking Solution Market by Network Automation Software
5.2.2.1.2 Global AI Networking Solution Market by Network Optimization Software
5.2.2.1.3 Global AI Networking Solution Market by Network Transformation Software
5.2.3 Global AI Networking Solution Market by Service
5.2.3.1 Global AI Networking Solution Market by Managed Service
5.2.3.2 Global AI Networking Solution Market by Professional Service
5.2.3.2.1 Global AI Networking Solution Market by Deployment, Integration, and Provisioning Service Type
5.2.3.2.2 Global AI Networking Solution Market by Wireless Infrastructure Management Service Type
5.2.3.2.2.1 Global AI Networking Solution Market by Telecom Infrastructure Management Service Type
5.2.3.2.2.2 Global AI Networking Solution Market by 5G Infrastructure Management Service Type
5.3 Global AI Networking Solution Market by AI Technology
5.4 Global AI Networking Solution Market by Deployment
5.5 Global AI Networking Solution Market by Industry
5.6 Global AI Networking Solution Market by Organization
5.7 Global AI Networking Solution Market by Network Type
5.8 Global AI Networking Solution Market by Network Platform
5.8.1 Global AI Networking Solution Market by IoT Network Technology Type
5.8.1.1 Global AI Networking Solution Market by Short and Medium Range Wireless IoT Network Technology
5.8.1.2 Global AI Networking Solution Market by Long Range Wireless IoT Network Technology
5.8.2 Global AI Networking Solution Market by IoT Application Type
5.9 Global AI Networking Solution Market by 5G Network Type
5.10 Global AI Networking Solution Market by Industry Vertical
5.11 Global AI Networking Solution Market by Region
5.11.1 North America AI Networking Solution Market by Country
5.11.2 Europe AI Networking Solution Market by Country
5.11.3 APAC AI Networking Solution Market by Country
5.11.4 MEA AI Networking Solution Market by Country
5.11.5 Latin America AI Networking Solution Market by Country

6.0 Conclusions and Recommendations
6.1 Artificial Intelligence Providers
6.2 Broadband Infrastructure Providers
6.3 Communication Service Providers
6.4 Computing Companies
6.5 Data Analytics Providers
6.6 Networking Equipment Providers
6.7 Networking Security Providers
6.8 Semiconductor Companies
6.9 IoT Suppliers and Service Providers
6.10 Software and Platform Providers

Figures

Figure 2: AI Networking Technology
Figure 3: Cisco High Value Service Model
Figure 4: IoT SDN Framework
Figure 5: 5G AI NR Requirements
Figure 6: AI Networking Competitive Landscape
Figure 7: Cisco Enterprise NFV Architecture
Figure 8: Dell NFV Solution Architecture
Figure 9: Huawei vMVNO Framework
Figure 10: Huawei Mushroom PaaS Platform
Figure 11: Etisalat NFV Architecture
Figure 12: NEC vMVNO Architecture
Figure 13: NEC vEPC Architecture
Figure 14: NEC vCPE Architecture
Figure 15: NEC vHSS Architecture
Figure 16: Juniper NFV Architecture
Figure 17: VMware vCloud NFV Architecture
Figure 18: Global AI Networking Solution Market 2021 - 2026
Figure 19: Global AI Networking Solution Market by 5G Network Type 2021 - 2026

Tables

Table 1: IoT NFV Benefits
Table 2: Intel NAMD System
Table 3: Juniper Networks Product
Table 4: Aricent SWOT Analysis
Table 5: Global AI Networking Solution Market by Segment 2021 - 2026
Table 6: Global AI Networking Solution Market by Hardware 2021 - 2026
Table 7: Global AI Networking Solution Market by Hardware Equipment 2021 - 2026
Table 8: Global AI Networking Solution Market by Hardware Component 2021 - 2026
Table 9: Global AI Networking Solution Market by Software 2021 - 2026
Table 10: Global AI Networking Solution Market by Network Management Software 2021 - 2026
Table 11: Global AI Networking Solution Market by Network Automation Software 2021 - 2026
Table 12: Global AI Networking Solution Market by Network Optimization Software 2021 - 2026
Table 13: Global AI Networking Solution Market by Network Transformation Software 2021 - 2026
Table 14: Global AI Networking Solution Market by Service 2021 - 2026
Table 15: Global AI Networking Solution Market by Managed Service 2021 - 2026
Table 16: Global AI Networking Solution Market by Professional Service 2021 - 2026
Table 17: Global AI Networking Solution Market by Deployment, Integration, and Provisioning Service Type 2021 - 2026
Table 18: Global AI Networking Solution Market by Wireless Infrastructure Management Service Type 2021 - 2026
Table 19: Global AI Networking Solution Market by Telecom Infrastructure Management Service Type 2021 - 2026
Table 20: Global AI Networking Solution Market by 5G Infrastructure Management Service Type 2021 - 2026
Table 21: Global AI Networking Solution Market by AI Technology 2021 - 2026
Table 22: Global AI Networking Solution Market by Deployment 2021 - 2026
Table 23: Global AI Networking Solution Market by Industry 2021 - 2026
Table 24: Global AI Networking Solution Market by Organization 2021 - 2026
Table 25: Global AI Networking Solution Market by Network Type 2021 - 2026
Table 26: Global AI Networking Solution Market by Network Platform 2021 - 2026
Table 27: Global AI Networking Solution Market by IoT Network Technology Type 2021 - 2026
Table 28: Global AI Networking Solution Market by Short and Medium Range Wireless IoT Network Technology 2021 - 2026
Table 29: Global AI Networking Solution Market by Long Range Wireless IoT Network Technology 2021 - 2026
Table 30: Global AI Networking Solution Market by IoT Application Type 2021 - 2026
Table 31: Global AI Networking Solution Market by Industry Vertical 2021 - 2026
Table 32: Global AI Networking Solution Market by Region 2021 - 2026
Table 33: North America AI Networking Solution Market by Country 2021 - 2026
Table 34: Europe AI Networking Solution Market by Country 2021 - 2026
Table 35: APAC AI Networking Solution Market by Country 2021 - 2026
Table 36: MEA AI Networking Solution Market by Country 2021 - 2026
Table 37: Latin America AI Networking Solution Market by Country 2021 - 2026 

 

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