Unlocking The Potential Of Artificial Intelligence In Next Generation Networks

As the way we communicate and interact with the world around us continues to evolve, it is becoming increasingly important for businesses to understand the impact of emerging technologies within global markets.

AI is now a reality, impacting our lives through chatbots and driverless cars. Networking & Telecommunications is set to see immense growth due to AI’s advancements. Automation enabled by AI increases performance, reduces hardware costs, and uses resources efficiently.

With the introduction of Network Automation, Optimization, Transformation, SDN, Edge Computing, NFV, and Augmented Intelligence, one could observe the growing impact this has on networking products and solutions, including embedded equipment, components, and software platforms. This report evaluates how these solutions will shape and support AI-driven networking ecosystems.

The research analyzes how 5G networks, IoT technology, systems, and analytics capabilities may impact the networking domain. It reviews the offerings from numerous companies discussing their AI-oriented solutions and Microtech features relevant to intent-driven networking and experiential networking.

The AI-driven networking market is predicted to grow significantly as it offers sentiments transcending the current business operations. The report delivers in-depth insights into not only existing AI technology types and deployment types, network types, industry verticals, and region-wise forecasts for the market.

2023 to 2028 has seen growth across various infrastructure, network types, IoT solutions, and consumer and industrial sectors in the Artificial Intelligence (AI) Next-Generation Networking market – with qualitative and quantitative analyses undertaken by industry experts, respectively.

AI is progressively infiltrating software technologies and many facets of ICT infrastructure. In particular, AI processors have the potential to revolutionize the world of embedded systems by introducing a wide range of abilities, such as deep machine learning and the recognition of pictures.

By 2026, up to 63% of all electronics will possess embedded AI because most (85%) of chipsets now have integral AI. Such underlying intelligence can make a much wider field of infrastructure levered beneath next-generation networks and relative software/platforms.

AI is expected to be central to network infrastructure development by optimizing costs and expenses while reducing errors and safeguarding against precarious circumstances. Network intelligence will evolve towards autonomous control, with AI playing a crucial role in its transformation.

Deep learning, predictive application, machine learning, and cognitive computing are essential technologies for transforming network configuration automation toward operational autonomy.

AI will impact wireless networking regardless of size, with benefits that reach telecommunications providers and all industry verticals, from transportation to medical and financial services. This improved service realization and support will enhance communication on all scales.

AI and IoT technologies are converging with AIoT, leading to systems that are now smarter and capable of finding solutions for various challenges in multiple industry domains. This development is called the formation of “thinking” networks and systems.

5G service-based architectures, through their implementation with public communication infrastructure providers, are already leading to changed standards and topology regarding AI’s impact on wireless networks. Progress could be faster due to pre-existing OSS/BSS tools in the network.

AI next-generation networking will primarily take the form of closed-loop private 5G wireless networks, leading the charge for deployment.

6G networks in the timeframe from 2030 to 2040 facilitate a multitude of AI-enabled functions. This change shall bring about contextually agile RF networks that can adapt promptly to events, optimize resource allocation, and on-device distributed computing that produces sustained perpetual communications.

The global artificial intelligence in the next-generation networking market is growing rapidly owing to the increasing demand for virtualization and network security. Moreover, the increased adoption of cloud services and Big Data analytics drive the market’s growth.

Source: globenewswire.com


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