MWC Las Vegas 2024: AI, IoT and NTNs support the digital transformation of enterprises
Access this insight with a Standard plan. Contact our sales team to get started.
Or
Report details
MWC Las Vegas 2024: AI, IoT and NTNs support the digital transformation of enterprises
£750
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
Contact usMWC Las Vegas 2024 saw three days of meetings, demos, keynotes and engaging content. Some 300 exhibitors, sponsors and partners attended, alongside approximately 6,000 people from around 90 countries. Over 42% of attendees represented ‘enterprise and adjacent industries’, in line with the show’s transformation from a broad, mobile ecosystem event to one centered on enterprise digital transformation powered by 5G and mobile technologies.
While the show’s focus has evolved, a constant from previous iterations was the delivery of diverse insights and market messages. Beyond the broad enterprise 5G theme, three areas of insight stood out: AI, IoT and non-terrestrial network (NTN) development.
Report details
MWC Las Vegas 2024: AI, IoT and NTNs support the digital transformation of enterprises
£750
EX. VATThis report is one of more than 140 published annually as part of the GSMA Intelligence data and research subscription, which is designed for organisations that require regular access to our insights. Contact our sales team for details.
Contact usRelated research
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
The Limits of D2D
Direct-to-device (D2D) satellite connectivity has emerged as a notable development in the mobile ecosystem, promising to extend basic mobile services beyond the reach of terrestrial networks. It has the potential to enhance coverage in remote and underserved areas and to provide an additional layer of resilience for emergency communications. While the technology has clear benefits, is advancing rapidly and is attracting significant attention, its practical role remains constrained by fundamental limitations in capacity and spectral efficiency. This report examines the impact of different constellation and spectrum scenarios on D2D’s capabilities.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
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
On-device AI: mobile network filler or saviour?
On-device AI is the next frontier for AI deployments in consumer and enterprise segments. Use cases include AI-based search and personal assistants, image analytics on a smartphone, AI-assisted driving and navigation in cars, industrial applications such as automated guided vehicles, and improved IoT analytics. This has implications for the device world and major tech companies whose business models depend on consumer time on the internet and digital platforms. It also matters for operators, given the ripple effect of AI-driven data traffic on mobile and fibre networks, and the direct revenue opportunity.
The Limits of D2D
Direct-to-device (D2D) satellite connectivity has emerged as a notable development in the mobile ecosystem, promising to extend basic mobile services beyond the reach of terrestrial networks. It has the potential to enhance coverage in remote and underserved areas and to provide an additional layer of resilience for emergency communications. While the technology has clear benefits, is advancing rapidly and is attracting significant attention, its practical role remains constrained by fundamental limitations in capacity and spectral efficiency. This report examines the impact of different constellation and spectrum scenarios on D2D’s capabilities.
Reshaping networks: from a 5G core to an agentic core
Building on previous reports on the evolution of core networks in the 5G-Advanced and AI eras, this report explores what agentic AI means for the mobile core. For the mobile core, most key objectives are unchanged: building future-proof networks that can support a growing and diverse range of endpoints (users, devices and applications) while efficiently delivering intelligent services at scale – all underpinned by a monetisation imperative. But new dynamics have entered the space, from the rise of agentic AI to the sharp focus on sovereignty and mission-critical connectivity. As such, a fresh review of the evolution of mobile core networks is needed.
- 200 reports a year
- 50 million data points
- Over 350 metrics
