Home Networking service Artificial Intelligence in Next-Generation Networks Markets 2022-2027 by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industrial, and Government), and Industry Vertical – ResearchAndMarkets.com

Artificial Intelligence in Next-Generation Networks Markets 2022-2027 by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industrial, and Government), and Industry Vertical – ResearchAndMarkets.com


DUBLIN–(BUSINESS WIRE)–The “Artificial Intelligence in Next-Generation Networks by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industry & Government), and Vertical 2022 – 2027” report has been added to from ResearchAndMarkets.com offer.

This report assesses the impact of AI in various networking products and solutions, including embedded devices, components, and software platforms (network automation, optimization, and transformation). The report also assesses the role of SDN, edge computing, NFV, and augmented intelligence in shaping and supporting AI-based network ecosystems.

Additionally, the impact of 5G networks, IoT technology and systems, and network analysis functions are also analyzed. The report assesses technologies, products and solutions from leading solution providers, identifying key companies in each segment of the competitive landscape. This includes companies focused specifically on AI and related areas such as intent-based networking and experiential networking.

The report also provides forecast for the AI-enabled networking market based on major market segments and sub-segments, type of AI technology, type of deployment, type of network, industry vertical and of the region. The report provides qualitative and quantitative analysis of the AI ​​Next-Generation Networks market by infrastructure, network type, IoT solution, segment (consumer, enterprise, industry and government) and industry verticals from 2022 to 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 market is poised to transform the entire embedded system ecosystem with a host of AI capabilities such as deep machine learning, image sensing and more. others.

With 85% of all AI-enabled chipsets globally, more than 63% of all electronic devices will have some form of embedded intelligence by 2026. AI in the Next-Generation Networking Market in as a whole will ultimately be much larger as infrastructure vendors embed AI into virtually all software and platforms.

Infrastructure is expected to be a primary focus area for AI as network operators seek to reduce costs and improve efficiency while simultaneously reducing the incidence of errors and unwanted network events. AI technology will play a key role in transforming network intelligence to become increasingly autonomous. Technologies such as cognitive computing, machine learning, deep learning, and predictive applications will be fundamental to the transformation of network configuration automation and operational autonomy.

AI-based networking is going to impact wireless networks of all sizes for all communication service providers, improving service fulfillment and support, and ultimately impacting all verticals, from transportation to medical care to financial services. Additionally, we are seeing the convergence of AI and Internet of Things (IoT) technologies and solutions leading to “thinking” networks and systems that are becoming increasingly capable of solving a wide range of problems in a large 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 to 5G service-based architectures. Implementation within public communications service providers will evolve slowly due to legacy systems such as OSS/BSS. However, closed-loop private 5G wireless networks will be at the forefront of deploying next-generation AI networks.

This evolution will lead to AI-enabled functions in 6G networks between 2030 and 2040. This will include contextually agile RF networks that support event-driven adaptation and resource allocation optimization. It will also include many device-level enhancements, such as AI-enabled distributed computing, which will facilitate persistent compute-focused communications.

Select report results:

  • Total AI in Networks Market to Reach $9.2 Billion Worldwide by 2027

  • Enterprise Segment to Lead the AI-Based Networking Market, Reaching $3.57 Billion by 2027

  • The combination of AI and distributed cognitive computing will lead to compute-oriented communications

  • AI-based networking will support many solutions such as $683 million incremental growth in asset tracking market by 2027

  • AI-powered networking will facilitate significant cost savings for CSPs and the realization of substantial new services across industry verticals


  • Unified networks involving AI and IoT

  • AI-driven networks

  • AI in Wireless Network Strategy

  • Intent-Based Networks

  • Autonomous networks

  • Augmented intelligence

  • AI technologies in networks

  • Market drivers and challenges

Analysis of technologies and applications

  • Networking Equipment, Platforms and Services

  • business 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 Functions Virtualization

  • Telecom infrastructure and Cloud RAN

  • New radio technology and 5G network

  • AI-powered network analysis

  • Competitive landscape

Conclusions and Recommendations

  • artificial intelligence providers

  • Broadband infrastructure providers

  • Communication Service Providers

  • IT companies

  • Data analytics providers

  • Networking Equipment Suppliers

  • Network Security Providers

  • Semiconductor companies

  • IoT vendors 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

  • DellEMC

  • 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 company

  • Juniper Networks, Inc.

  • Microsoft Corporation

  • NEC Corporation



  • Nokia Company

  • Nvidia Corporation

  • PTC Corporation

  • Qualcomm Incorporated

  • Riverbed Technology

  • Samsung Electronics Co Ltd.

  • VMware Inc.

  • xively

  • ZTE Company

For more information on this report, visit https://www.researchandmarkets.com/r/oxmnay