DUBLIN, Feb. 9, 2022 /PRNewswire/ — The “Artificial Intelligence in Next Generation Networking by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industrial, and Government), and Industry Vertical 2022 – 2027” report has been added to ResearchAndMarkets.com’s offering.

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 are also analyzed. The report assesses technologies, products, and solutions from key solution providers, identifying key companies in each segment of the competitive landscape. This includes companies focused on AI specifically and related areas such as intent-based networks and experiential networking.

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 the AI next generation networking market by infrastructure, network type, IoT solution, segment (consumer, enterprise, industrial, and government), and industry verticals from 2022 through 2027.

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. The AI in next generation networking market as a whole will ultimately be much larger as infrastructure vendors embed AI within virtually all software and platforms.

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, we see 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 deployment for AI next generation networking.

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.

Select Report Findings:

• The total market for AI in networking will reach $9.2 billion globally by 2027
• The enterprise segment will lead the AI-enabled networking market, reaching $3.57B by 2027
• 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 $683M in the asset tracking market by 2027
• AI-enabled networking will facilitate significant cost savings for CSPs and substantial new services realization across industry verticals

Introduction

• Unified Networks involving AI and IoT
• AI Driven Networks
• AI in Wireless Network Strategy
• Intent Based Networks
• Self-driven Networks
• Augmented Intelligence
• AI Technologies in Networking
• Market Drivers and Challenges

Technology and Application Analysis

• Networking Equipment, Platforms, and Services
• Enterprise Networking
• IoT Networking Technology
• Short Range Wireless Technologies
• Long Range Wireless Technologies
• IoT Application
• Network Optimization
• Network Automation
• Network Transformation
• Edge Computing and AI
• Software Driven Networking
• Software Defined Infrastructure
• AI-Defined Infrastructure
• Network Function Virtualization
• Telecom Infrastructure and Cloud RAN
• New Radio Technology and 5G Network
• AI Powered Network Analytics
• Competitive Landscape

Conclusions and Recommendations

• Artificial Intelligence Providers
• Broadband Infrastructure Providers
• Communication Service Providers
• Computing Companies
• Data Analytics Providers
• Networking Equipment Providers
• Networking Security Providers
• Semiconductor Companies
• IoT Suppliers and Service Providers
• Software and Platform Providers

Company Analysis

• 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

For more information about this report visit https://www.researchandmarkets.com/r/qiz175

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