DUBLIN, January 31, 2023 /PRNewswire/ — The report “Artificial Intelligence in Next-Generation Networks by Infrastructure, Network Type, IoT Solution, Segment (Consumer, Enterprise, Industry & Government), and Vertical 2023 – 2028” has been added to from ResearchAndMarkets.com offer.
This report assesses the impact of 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, industrial and government) and industry verticals from 2023 to 2028.
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 features such as deep machine learning, image sensing, and many more.
With 85% of all AI-enabled chipsets globally, over 63% of all electronic devices will have some form of embedded intelligence by 2026. AI in the Next-Generation Networking Market as a Whole will ultimately be much larger. 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 deployment for 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:
- The total market for AI in computing and networking will reach $10.4 billion worldwide by 2028
- The enterprise segment will lead the AI-based networking market at $3.9 billion by 2028
- The combination of AI and distributed cognitive computing will lead to compute-oriented communications
- AI-based networking will support many solutions, such as incremental growth of $724 million in the asset tracking market by 2028
- AI-powered networking will facilitate significant cost savings for CSPs and the realization of substantial new services across industry verticals
Main topics covered:
1.0 Executive Summary
2.0 Presentation
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 Autonomous networks
2.6 Augmented Intelligence
2.7 AI technologies in networks
2.8 Market Drivers and Challenges
3.0 Technology and Application Analysis
3.1 Networking Equipment, Platforms and Services
3.2 Business networking
3.3 IoT networking technology
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 Virtualization of network functions
3.13 Telecom Infrastructure and Cloud RAN
3.14 New radio technology and 5G network
3.15 AI-powered network analysis
3.16 Competitive landscape
4.0 Business 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 Company
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 APIs
4.24 Brocade Communication Systems
4.25 VMware Inc.
4.26 Aricent Inc.
4.27 Arista Networks Inc.
4.28 Extreme networks
4.29 NET SCOUT
4.30 ECI Telecom
4.31 Foxconn Electronics Inc.
4.32 NETGEAR
4.33 River bed technology
5.0 Market Analysis and Forecast 2023-2028
5.1 Global AI Networking Solutions Market 2023-2028
5.2 Global AI Networking Solutions Market by Segment
5.3 Global AI Networking Solutions Market by AI Technology
5.4 Global AI Networking Solutions Market by Deployment
5.5 Global AI Networking Solutions Market by Industry
5.6 Global AI Networking Solutions Market by Organization
5.7 Global AI Networking Solutions Market by Network Type
5.8 Global AI Networking Solutions Market by Network Platform
5.9 Global AI Networking Solutions Market by 5G Network Type
5.10 Global AI Networking Solutions Market by Vertical
5.11 Global AI Networking Solutions Market by Region
6.0 Conclusions and Recommendations
6.1 Artificial Intelligence Suppliers
6.2 Broadband infrastructure providers
6.3 Communication Service Providers
6.4 Computer companies
6.5 Data Analytics Providers
6.6 Networking Equipment Suppliers
6.7 Network Security Providers
6.8 Semiconductor companies
6.9 IoT Vendors and Service Providers
6.10 Software and platform providers
For more information about this report visit https://www.researchandmarkets.com/r/2zji42
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