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[English Research Report] Open RAN: Preliminary Research Report

The latest forecast predicts that Open RAN will account for more than 25% of the entire RAN by 2028.

The "Open RAN: Preliminary Research Report" by Dell'Oro Group provides an overview of the potential of Open RAN and Virtual RAN across various segments, including multi-vendor and single-vendor, macro cells and small cells, regions, and baseband/radio, along with a five-year forecast. It also includes insights on Virtual RAN forecasts, the current state of the market, forecast drivers, and risks.

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[English Research Report] External Plant Cable: Preliminary Research Report

Cable operators expect to spend $10 billion on external plant facilities by 2030.

The "Cable Outside Plant Equipment: Advanced Research Report" by Dell'Oro Group includes a 7-year market forecast for passive components such as optical nodes, amplifiers, taps, hardline splitters, and power inserters, including DAA and GAP (Generic Access Platform) nodes. Amplifiers are categorized by technology, including 1.2GHz, 1.2GHz full duplex, and 1.8GHz. The report also includes regional subscriber forecasts for cable broadband subscribers.

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[English Research Report] Private Wireless: Preliminary Research Report

Revenue from private wireless RAN is expected to increase by up to 40% in 2023.

The Dell’Oro Group's Private Wireless Advanced Research Report includes quarterly vendor share data as well as a five-year forecast of private wireless RAN by RF output power, technology, spectrum, and region.

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Campus NaaS and Public Cloud Managed LAN: Preliminary Research Report

A system for campus NaaS startups to gain a larger share.

The "Campus NaaS and Public Cloud Managed LAN: Preliminary Research Report" by Dell'Oro Group defines the key features of CNaaS and examines the various types of services available in the market. It quantifies both the CNaaS and public cloud managed LAN markets in terms of revenue and shipment volumes, providing forecasts for the next five years. The report compares the sales of CNaaS and public cloud managed LAN with the overall sales of campus LAN equipment, including revenues from WLAN and campus Ethernet switching manufacturers. It also includes an overview of available vendors and a regional breakdown of market opportunities.

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[Preliminary Research Report] AI Networks for AI Workloads

What are the network design options and topologies to support AI workloads?

The characteristic of emerging AI applications like ChatGPT is the enormous number of parameters that must be managed. Some handle billions or even trillions of parameters, requiring thousands to tens of thousands of GPUs, TPUs, and other types of high-speed processors. To connect these accelerated servers into large-scale clusters, a data center-scale fabric known as an AI backend network is necessary. This network differs from traditional frontend networks used for connecting general-purpose servers. Furthermore, AI workloads possess unique attributes and characteristics that are significantly different from traditional general-purpose computing workloads. These distinctive attributes have a crucial impact on the type of network required for executing the workloads. For more details, please visit the URL below. 【Report Details】 *Reservations are being accepted* https://www.dri.co.jp/auto/report/delloro/230824-de-ad-ai-networks.html

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