全球电信业 AI 云端基础设施市场：预测（2024-2030年）

通讯服务供应商（CSP）在 AI 相关云端基础架构上的支出预计将从2024年的65亿美元成长到2030年的166亿美元，年复合成长率为 17%。

本报告预测了2024年至2030年通讯服务供应商（CSP）在云端基础设施和 AI 工作负载相关服务上的支出。也向供应商和 CSP 提供建议。

目录

全球 AI 云端基础设施市场支出的6年详细预测

• 两种 AI 用例：内部营运和 B2B/B2C 服务
• 两种交付类型：产品相关服务与专业服务
• 四个基础设施元件：运算、储存、网路和云端基础设施软体
• 八个地区：中欧和东欧（CEE）、亚太已开发地区（DVAP）、亚太新兴地区（EMAP）、拉丁美洲（LATAM）、中东和北非（MENA）、北美（NA）、撒哈拉以南非洲（SSA）和西欧（WE）。

• 了解市场驱动因素及其对预测期内支出的影响
• 影响AI云端基础设施市场的商业环境和区域动态分析
• 详细的市场定义
• 针对 CSP 和供应商的建议

"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.