AI Strategies for Network Operators: Key Use Cases & Monetisation Models 2020-2024
Juniper Research’s AI Strategies for Network Operators
report provides an in-depth evaluation of the current state of the AI investment landscape in the telecommunications industry. The report includes a comprehensive analysis of key AI solutions use cases and deployment opportunities for CSPs (Communications Service Providers). This is aligned with detailed examination of emerging technologies impacting the broader telecommunications ecosystem, aligned with near- and long-term AI strategies by operators.
The study also provides strategic recommendations for CSPs and AI vendors in emerging and developed markets, along with extensive 4-year forecasts for the operator spend on AI market.
The research suite includes:
- Key Takeaways & Strategic Recommendations – Top-level report summarising key insights from the AI investmaent landscape in the telecommunicaitons industry, along with strategic recommendations for the efficient adoption of AI technologies that operators can capitalise on.
- AI Solutions Use Case Analysis – Strategic analysis of dominant AI application use cases, together with an assessment of key drivers, trends and limitations for the adoption of AI solutions by network operators.
- 4-Year Forecasts – Market prospect analysis for network operators’ investment in AI applications, together with 4-year forecasts for key metrics, including average operator spend on AI solutions per mobile subscriber and total operator spend on AI solutions per annum (PDF).
- Interactive Forecast Excel – Highly granular dataset comprising more than 540 datapoints, allied to an Interactive Scenario tool giving users the ability to manipulate Juniper Research’s data (Interactive XL).
Download a summary of the forecasts above, or request a detailed list of every table and chart via email@example.com.