企业AI服务:13通讯业者的案例研究与分析

Enterprise AI Services: 13 Operator Case Studies and Analysis

出版日期: 2025年09月05日 | 出版商:

Analysys Mason | 英文 46 Slides | 商品交期: 最快1-2个工作天内

价格

简介目录

"即使没有大规模 AI 计画的电信营运商，也有机会透过提供企业 AI 服务来拓展重要的收入来源。"

本报告概述了 13 家提供企业 AI 服务的电信业者的策略。报告评估了每家营运商的方法，并为其他电信业者在开发自身 AI 产品时提供参考建议。

本报告解答的问题

营运商为其企业客户提供哪些 AI 服务？
营运商在企业 AI 服务的投资程度如何？
营运商实现了哪些营收成长？未来预计成长多少？
营运商如何利用合作关係来支援其企业 AI 服务策略？
营运商如何使其企业 AI 服务与市场上的其他服务区分开来？
电信业者最有前景的机会是什么？

本报告所包含的案例研究

China Mobile
Deutsche Telekom
e&(Etisalat)
Fastweb + Vodafone
Indosat Ooredoo Hutchision
(IOH)

KDDI
Korea Telecom
Lumen
Orange Business

SK Telecom
Telefonica Tech
Verizon
Vodafone

简介目录

"Even those telecoms operators without major AI initiatives have an opportunity to develop significant revenue streams from the delivery of enterprise AI services."

This report outlines the strategies of 13 different telecoms operators that are offering enterprise AI services. It gives an assessment of each operator's approach and provides recommendations for other operators to consider as they develop their own AI propositions.

Questions answered in this report:

Which AI services are operators offering to enterprise customers?
How much are operators investing in enterprise AI services?
How much revenue growth have operators achieved and how much more do they expect to achieve?
How are operators using partnerships to support their strategies for enterprise AI services?
How are operators differentiating their enterprise AI services from those of other players in the market?
Which opportunities offer the best prospects for operators?