Total AI Driven Networking Solution Market will exceed $6B USD by 2024
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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 methodologies.
Intent Based Networks capture business intent, and in so doing, bridge the gap between business operations and information technology. The benefits of intent based networking are many and varied, but arguably all improvements stem from the ability for IBN to automate network management and orchestration in a proactive and intelligent manner. Accordingly, intent based networking represents a solution set that is at the confluence of a few key technologies including machine learning (and other forms of AI), SDN, and IoT technologies.
This research evaluates intent based networking including comparison of IBN with traditional networking in terms of architecture, capabilities, and benefits for carrier and enterprise networks. The report analyzes technologies, infrastructure, and the impact of implementing intent based networking in conjunction with other emerging technologies such as Multi-access Edge Computing (MEC), 5G, AI, and IoT. The report also evaluates leading vendors, strategies, and solutions.
It provides market forecasts for 2019 to 2025 globally and regionally as well as by technology and solution. This includes Infrastructure (Hardware, Software, Components, and Services - further broken down by programs, API, and SDK), Solutions/Applications, Deployment Type, Degree of Virtualization (Physical Network, Virtual Network, and Hybrid Network), Network Type (WAN, MAN, LAN, PAN), Connection Type (Wired and Wireless - further broken down by 3G, LTE, and 5G), Artificial Intelligence Type (Deep Machine Learning, Deep Neural Network, Machine Vision System, Predictive Analytics, NLP and Voice Recognition), Organization Type (SMB, Enterprise, Government), and Industry Verticals (Automotive, Financial, Government, Healthcare, Manufacturing/Automation, Telecom and IT, and more).
Additionally, it provides quantitative analysis and forecasts for the impact of edge computing and IoT upon the intent driven networking market. This includes both Cellular/3GPP NB-IoT and non-cellular LPWAN (i.e. Sigfox, LoRa, Weightless, Ingenu). The report also provides quantitative analysis and forecasts for the market for securing IBN (e.g. the intent driven networking security market). The report also provides quantitative analysis and forecasts for special integration areas such as IBN support for networking involved with autonomous vehicles, smart cities, and more.
This research also 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.
This research also 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. All purchases includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.
Select Findings:
- Global aggregate intent based network market will reach $4.1B by 2024
- Network automation and orchestration alone will reach nearly $490M by 2024
- Intent based networking will fundamentally transform datacenter operations
- Total AI driven networking solution market is expected to exceed $6B USD by 2024
- Driven by edge computing, local network optimization will lead the software solution arena
Target Audience:
- AI Companies
- IoT Infrastructure Providers
- Security and Analytics Providers
- Communication Service Providers
- Cloud Services and Datacenter Companies
With the purchase of this report at the Multi-user License or greater level, you will have access to one hour with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This will need to be used within three months of purchase.
This report also includes a complimentary Excel file with data from the report for purchasers at the Site License or greater level.
Table of Contents
Intent-Based Networking1.0 Executive Summary
Companies Mentioned
- 128 Technology
- A10 Networks
- ARM Limited
- Accenture PLC
- Amazon Web Services (AWS)
- Anuta Networks
- Apstra Inc.
- Aricent Inc.
- Arista Networks Inc.
- Avi Networks
- Aviatrix Systems
- Baidu Inc.
- Barefoot Networks
- Brocade Communication Systems
- Cerium Networks
- Cisco Systems Inc.
- CloudGenix
- Dell EMC
- ECI Telecom
- Ericsson AB
- Extreme Networks
- FireMon LLC
- Fortinet Inc.
- Forward Networks Inc.
- Foxconn Electronics Inc.
- Fujitsu Ltd.
- Gemini Data
- Google Inc.
- H2O.ai
- Hewlett Packard Enterprise (HPE)
- Huawei Technologies Co. Ltd
- IBM Corporation
- Indeni Ltd.
- Intel Corporation
- Intentionet
- Juniper Networks Inc.
- Masergy
- Microsoft Azure
- Microsoft Corporation
- NEC Corporation
- NETGEAR
- NETSCOUT
- NVIDIA Corporation
- Noction
- Nokia Corporation
- Nyansa
- PTC Corporation
- Pluribus Networks
- Qualcomm Incorporated
- Riverbed Technology
- Samsung Electronics Co Ltd.
- VMware Inc.
- Veriflow Systems
- Versa Networks
- Xively
- ZTE Corporation
Methodology
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