Skip to main content

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.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

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.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...