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Telecoms AI Cloud Infrastructure: Worldwide Forecast 2024-2030

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  • 8°³ÀÇ Áö¿ª : ÁßÀ¯·´ ¹× µ¿À¯·´(CEE), ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ¼±Áø±¹(DVAP), ¾Æ½Ã¾ÆÅÂÆò¾çÀÇ ½ÅÈï ±¹°¡(EMAP), ¶óƾ¾Æ¸Þ¸®Ä«(LATAM), Áßµ¿¡¤ºÏ¾ÆÇÁ¸®Ä«(MENA), ºÏ¹Ì(NA), »çÇ϶ó À̳² ¾ÆÇÁ¸®Ä«(SSA), ¼­À¯·´(WE)
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KSA 25.03.24

"CSPs' spending on AI-related cloud infrastructure will grow from USD6.5 billion in 2024 to USD16.6 billion in 2030, at a CAGR of 17%."

This report provides forecasts for communications service provider (CSP) spending on cloud infrastructure for AI workloads and related services for 2024-2030. The report also provides recommendations for vendors and CSPs.

This forecast report and the accompanying data annex provide:

  • a detailed, 6-year worldwide forecast for spending in the AI cloud infrastructure market, split into:
    • two AI use cases: internal operations and B2B/B2C services
    • two delivery types: product-related and professional services
    • four infrastructure components: compute, storage, networking and cloud infrastructure software
    • eight geographical regions: Central and Eastern Europe (CEE), developed Asia-Pacific (DVAP), emerging Asia-Pacific (EMAP), Latin America (LATAM), the Middle East and North Africa (MENA), North America (NA), Sub-Saharan Africa (SSA) and Western Europe (WE)
  • an examination of the market drivers and how they will affect spending during the forecast period
  • analysis of the business environment and regional dynamics that will influence the AI cloud infrastructure market
  • a detailed market definition
  • recommendations for CSPs and vendors.
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