The impact of 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 sub-segments, AI technology type, deployment type, network type, industry vertical, and region. The report provides qualitative and quantitative analysis of the AI next-generation networking market by infrastructure, network type, IoT solution, segment (consumer, enterprise, industrial, and government), and industry verticals from 2023 through 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 marketplace is poised to transform the entire embedded system ecosystem with a multitude of 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 the next-generation networking market as a whole will ultimately be much larger infrastructure vendors embed AI within virtually all software and platforms.
