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Gartner: End-Users Willing to Pay More for 5G

Internet of Things Communication Is Expected to Be the Most Popular Use Case

A recent global Gartner survey revealed that 75 percent of end-user organizations would be willing to pay more for 5G mobile capabilities.

Only 24 percent of the survey's respondents would be unwilling to pay more for 5G than for 4G.

"Those in the telecom industry are more likely to be prepared to pay more than those in other industries," said Sylvain Fabre, Research Director at Gartner. "End-user organizations in the manufacturing, services and government sectors, for example, are less likely to be willing to pay a premium for 5G than telecom companies, which are willing to pay a 5G premium for their internal use."


In addition to offering better prices for industries in which users are less convinced of the business benefits of 5G, communications service providers (CSPs) must create value propositions that entice customers to start 5G migration projects sooner.

Although most of the respondents think their organizations would be prepared to pay more for 5G, few (8 percent) expect 5G to deliver cost savings or increase revenues. 5G is seen principally as a network evolution (59 percent), and only secondarily as an enabler of digital business (37 percent). The survey also found that respondents from the telecom sector are less persuaded than those in other industries that 5G will be a revenue enhancer.

"They tend to see 5G migration as a matter of gradual and inevitable infrastructural change, rather than as an opportunity to generate new revenue," said Fabre.

Internet of Things Communication is Top Use Case for 5G

The survey found that almost half the respondents intend to use 5G to access videos and fixed wireless capabilities. More interestingly, though, the majority pf respondents (57 percent) believe that their organization’s main intention is to use 5G to drive Internet of Things (IoT) communication.

"This finding is surprising, as the number of deployed 'things' that need cellular connectivity won't exceed the capacity of existing cellular IoT technologies before 2023 in most regions," said Fabre. "And even once fully implemented, 5G will suit only a narrow subset of IoT use cases that require a combination of very high data rates and very low latency. In addition, 5G won't be ready to support massive machine-type communications, or ultra-reliable and low-latency communications, until early 2020."

This finding may also be a sign of confusion about 5G's applicability, as many proven and less expensive alternatives already exist for wireless IoT connectivity — use of Wi-Fi, ZigBee or Bluetooth, for example, would avoid the cost and complexity associated with cellular communications.

A degree of misunderstanding is probably also apparent in the expressed belief by a large majority of the respondents (84 percent) that 5G will be widely available by 2020. By contrast, CSPs' plans indicate that wide availability may not be achieved before 2022.

Gartner predicts that, by 2020, only 3 percent of the world's network-owning mobile CSPs will have launched 5G networks commercially.

"Although standards-compliant commercial network equipment could be available by 2019, commercial rollouts of 5G networks and services by CSPs before 2019 are likely to use prestandard equipment," added Fabre.

CSPs' marketing organizations need realistic roadmaps for 5G coverage and typical performance, so that they communicate with customers accurately. They also need to publish clear 5G rollout plans for the years 2019 to 2021 to help innovators understand when and where 5G will be available for IoT applications.

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Gartner: End-Users Willing to Pay More for 5G

Internet of Things Communication Is Expected to Be the Most Popular Use Case

A recent global Gartner survey revealed that 75 percent of end-user organizations would be willing to pay more for 5G mobile capabilities.

Only 24 percent of the survey's respondents would be unwilling to pay more for 5G than for 4G.

"Those in the telecom industry are more likely to be prepared to pay more than those in other industries," said Sylvain Fabre, Research Director at Gartner. "End-user organizations in the manufacturing, services and government sectors, for example, are less likely to be willing to pay a premium for 5G than telecom companies, which are willing to pay a 5G premium for their internal use."


In addition to offering better prices for industries in which users are less convinced of the business benefits of 5G, communications service providers (CSPs) must create value propositions that entice customers to start 5G migration projects sooner.

Although most of the respondents think their organizations would be prepared to pay more for 5G, few (8 percent) expect 5G to deliver cost savings or increase revenues. 5G is seen principally as a network evolution (59 percent), and only secondarily as an enabler of digital business (37 percent). The survey also found that respondents from the telecom sector are less persuaded than those in other industries that 5G will be a revenue enhancer.

"They tend to see 5G migration as a matter of gradual and inevitable infrastructural change, rather than as an opportunity to generate new revenue," said Fabre.

Internet of Things Communication is Top Use Case for 5G

The survey found that almost half the respondents intend to use 5G to access videos and fixed wireless capabilities. More interestingly, though, the majority pf respondents (57 percent) believe that their organization’s main intention is to use 5G to drive Internet of Things (IoT) communication.

"This finding is surprising, as the number of deployed 'things' that need cellular connectivity won't exceed the capacity of existing cellular IoT technologies before 2023 in most regions," said Fabre. "And even once fully implemented, 5G will suit only a narrow subset of IoT use cases that require a combination of very high data rates and very low latency. In addition, 5G won't be ready to support massive machine-type communications, or ultra-reliable and low-latency communications, until early 2020."

This finding may also be a sign of confusion about 5G's applicability, as many proven and less expensive alternatives already exist for wireless IoT connectivity — use of Wi-Fi, ZigBee or Bluetooth, for example, would avoid the cost and complexity associated with cellular communications.

A degree of misunderstanding is probably also apparent in the expressed belief by a large majority of the respondents (84 percent) that 5G will be widely available by 2020. By contrast, CSPs' plans indicate that wide availability may not be achieved before 2022.

Gartner predicts that, by 2020, only 3 percent of the world's network-owning mobile CSPs will have launched 5G networks commercially.

"Although standards-compliant commercial network equipment could be available by 2019, commercial rollouts of 5G networks and services by CSPs before 2019 are likely to use prestandard equipment," added Fabre.

CSPs' marketing organizations need realistic roadmaps for 5G coverage and typical performance, so that they communicate with customers accurately. They also need to publish clear 5G rollout plans for the years 2019 to 2021 to help innovators understand when and where 5G will be available for IoT applications.

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Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

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