Enterprise AI services: 13 operator case studies and analysis
05 September 2025 | Research
Catherine Hammond | Adaora Okeleke
Case studies report | PPTX and PDF (46 slides) | AI and Data Platforms| Enterprise Services
"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?
Case studies included in this report
- China Mobile
- Deutsche Telekom
- e& (Etisalat)
- Fastweb + Vodafone
- Indosat Ooredoo Hutchision (IOH)
- KDDI
- Korea Telecom
- Lumen
- Orange Business
- SK Telecom
- Teléfonica Tech
- Verizon
- Vodafone
USD5499
Log in to check if this content is included in your content subscription.
Authors
Catherine Hammond
Research Director
Adaora Okeleke
Principal Analyst, expert in AI and data managementRelated items
Podcast
How operators can use AI services to grow their enterprise revenue
Article
Operators can generate substantial revenue from AI services even without big investments in infrastructure
Article
Operators’ enterprise AI service portfolios extend far beyond AI infrastructure services