固定網路資料流量：全球趨勢與預測（2023-2029）

"人工智慧對流量的影響尚不清楚。預計它將提高用戶對應用程式的參與度，但不太可能顯著增加接入網路的流量強度。"

固定資料流量佔電信網路資料流量的84%，且該佔有率在預測期內保持相對穩定。即使隨著新設備和應用程式的出現，流量重新加速，固定流量的成長也可能會在已建成的足夠容量內得到滿足。

本報告研究了固定網路數據流量，並對全球 8 個地區和 19 個國家的固定數據流量進行了五年預測，並對關鍵數據流量趨勢、驅動因素和限制因素進行了分析。

目標區域

本報告提供以下八個地區的預測。

本報告提供以下 19 個國家的預測。

關鍵指標

"The impact of AI on traffic is unknown; we suspect it will increase user engagement of applications, but we believe it is unlikely to significantly boost traffic intensity on the access network."

Fixed data traffic accounts for 84% of data traffic on telecoms networks, a share that will remain relatively stable during the forecast period. Even if new devices and applications engender a reacceleration of traffic, fixed traffic growth will be accommodated within the ample capacity already created.

This report provides:

• 5-year forecasts of fixed data traffic for 8 global regions and 19 selected countries
• analysis of the key trends in, and drivers and inhibitors of, data traffic.

Geographical coverage

The report provides forecasts for the following eight geographical regions.

The report provides forecasts for the following 19 countries.

Key metrics

About the author:

Grace Langham, Analyst.

Grace is based in the London office and is part of the Networks research practice. She holds an MChem degree in chemistry from the University of York. Grace's final year research project was based on pharmaceutical drug discovery, and she also worked as an analytical chemist.