Generative AI in Focus: Consumer Behaviour and Operator Views Survey Dashboard 2024

This report is available to those subscribed to the Digital Consumer module.
Against the current backdrop of growing interest and activity in generative AI, getting relevant insights are crucial to formulate strategies and plans. This dashboard comprises two main areas.
Building on our consumer survey in eight major countries worldwide, the first part of the dashboard provides all the relevant data related to consumer behaviour for generative AI in a consistent and structured way. We analyse consumer awareness, usage and experience of generative AI and their views on the areas that will benefit the most from generative AI. A number of filters allows the comparison of data for individual countries and for specific consumer segments (e.g. by age, network used or frequency of engagement in gaming).
The second part of the dashboard focuses on operators. Our survey of 100 operators worldwide reveals important insights into what operators think about the generative AI opportunity and where they are with their generative AI strategies. A number of filters allows the comparison of data for individual regions and for specific segments (e.g. by type of operator, size of revenues or size of subscribers).
Related research
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
Capitalising on smartphones as the leading digital playground: five priority areas for OEMs
Today, smartphones are the leading digital playground. According to our consumer survey, almost 80% of smartphone users consume digital entertainment services, including video, music and games, on a weekly basis. How can smartphone OEMs capitalise on the prime position that their devices have in digital services consumption? In this report we lay out the five key areas here that smartphone OEMs should focus on. These include implementing bundling strategies, leveraging tech and network advances, and identifying the prime consumer segments for digital services.
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
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
AI inference in practice: choosing the right edge
As AI adoption grows, inferencing will accelerate, raising questions about workload processing and business benefits. This analysis examines how running AI workloads on the edge can deliver improved outcomes.
Capitalising on smartphones as the leading digital playground: five priority areas for OEMs
Today, smartphones are the leading digital playground. According to our consumer survey, almost 80% of smartphone users consume digital entertainment services, including video, music and games, on a weekly basis. How can smartphone OEMs capitalise on the prime position that their devices have in digital services consumption? In this report we lay out the five key areas here that smartphone OEMs should focus on. These include implementing bundling strategies, leveraging tech and network advances, and identifying the prime consumer segments for digital services.
AI inference in practice: time is money
As AI adoption grows, inferencing will accelerate, raising the question of where workloads will be processed and how they translate into business benefits. This analysis examines AI on the near edge in distributed telco data centres, with Kinetica highlighted as an example.
- 200 reports a year
- 50 million data points
- Over 350 metrics