Radar: 2023 and the automation imperative
Please sign in or register for a free public account to access this report.
Expectations for the near-term evolution of mobile networks include many dynamics that will elevate the value of automation: 5G standalone, cloud adoption, increasingly demanding users, and new service rollouts. While the importance of automation is well understood, application to a wide array of network and service assets across a range of operators means it cannot be viewed as a single, monolithic technology.
To fully understand the state of automation among mobile operators, a deep view into operator perspectives and plans is critical. Leveraging a global survey of mobile operators, this Radar captures current thinking on automation, what is needed to execute on its promise, and the misunderstandings that could be holding it back.
Related research
Edge AI: how IoT hardware and connectivity companies can drive ecosystem adoption and scale
Edge AI has gained major momentum during 2024–2025 as Qualcomm, Nordic Semiconductor, Synaptics and many others have launched significant innovations in edge silicon and hardware. This report focuses on the industrial IoT part of the market.
AI opens a new front in the fight against unwanted calls to fixed lines
Although the number of unwanted calls to fixed lines has been decreasing due to efforts from stakeholders (including operators, network and customer-premises equipment vendors and regulators), the emergence of AI, especially generative AI, could reverse this trend while also making consumers more vulnerable to scams. However, AI can also be used to tackle the scourge of unwanted calls. In this report, we examine the approach taken by key stakeholders in various countries, notably the UK and the US, highlighting some of the risks and opportunities in the struggle against unwanted calls.
AI for digital industries: navigating enterprise needs, investments and supplier decisions
Digital transformation of vertical sectors is accelerating, with AI being a top area of investment. GSMA Intelligence surveyed nearly 4,200 enterprises across 21 countries and 10 vertical sectors to gain relevant insights into their digital transformation across a range of technologies. This report analyses the key findings and implications for AI.
Authors
How to access this report
Annual subscription: Subscribe to our research modules for comprehensive access to more than 200 reports per year.
Enquire about subscriptionContact our research team
Get in touch with us to find out more about our research topics and analysis.
Contact our research teamMedia
To cite our research, please see our citation policy in our Terms of Use, or contact our Media team for more information.
Learn moreRelated research
Edge AI: how IoT hardware and connectivity companies can drive ecosystem adoption and scale
Edge AI has gained major momentum during 2024–2025 as Qualcomm, Nordic Semiconductor, Synaptics and many others have launched significant innovations in edge silicon and hardware. This report focuses on the industrial IoT part of the market.
AI opens a new front in the fight against unwanted calls to fixed lines
Although the number of unwanted calls to fixed lines has been decreasing due to efforts from stakeholders (including operators, network and customer-premises equipment vendors and regulators), the emergence of AI, especially generative AI, could reverse this trend while also making consumers more vulnerable to scams. However, AI can also be used to tackle the scourge of unwanted calls. In this report, we examine the approach taken by key stakeholders in various countries, notably the UK and the US, highlighting some of the risks and opportunities in the struggle against unwanted calls.
AI for digital industries: navigating enterprise needs, investments and supplier decisions
Digital transformation of vertical sectors is accelerating, with AI being a top area of investment. GSMA Intelligence surveyed nearly 4,200 enterprises across 21 countries and 10 vertical sectors to gain relevant insights into their digital transformation across a range of technologies. This report analyses the key findings and implications for AI.
- 200 reports a year
- 50 million data points
- Over 350 metrics