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Gartner: Two-Thirds to Deploy 5G by 2020

Almost three-fourths (69 percent) of organizations have plans to deploy 5G by 2020, according to a new 5G use case and adoption survey by Gartner. Organizations expect 5G networks to be mainly used for Internet of Things (IoT) communications and video, with operational efficiency being the key driver.

"In terms of 5G adoption, end-user organizations have clear demands and expectations for 5G use cases," said Sylvain Fabre, Senior Research Director at Gartner. "However, one major issue that 5G users face is the lack of readiness of communications service providers (CSPs). Their 5G networks are not available or capable enough for the needs of organizations."

To fully exploit 5G, a new network topology is required, including new network elements such as edge computing, core network slicing and radio network densification. "In the short to medium term, organizations wanting to leverage 5G for use cases such as IoT communications, video, control and automation, fixed wireless access and high-performance edge analytics cannot fully rely on 5G public infrastructure for delivery," added Fabre.

Top Use Cases for 5G

IoT communications remains the most popular target use case for 5G, with 59 percent of the organizations surveyed expecting 5G-capable networks to be widely used for this purpose. The next most popular use case is video, which was chosen by 53 percent of the respondents.

"The figure for IoT communications is surprising, given that other proven and cost-effective alternatives, such as Narrowband IoT over 4G and low-power wide-area solutions, already exist for wireless IoT connectivity," said Fabre. "However, 5G is uniquely positioned to deliver a high density of connected endpoints — up to 1 million sensors per square kilometer."

"Additionally, 5G will potentially suit other subcategories of IoT that require very low latency. With regard to video, the use cases will be varied. From video analytics to collaboration, 5G's speed and low latency will be well suited to supporting 4K and 8K HD video content," added Fabre.

Status of 5G Deployment

Gartner predicts that by 2022 half of the CSPs that have completed commercial 5G deployments will fail to monetize their back-end technology infrastructure investments, due to systems not fully meeting 5G use case requirements.

"Most CSPs will only achieve a complete end-to-end 5G infrastructure on their public networks during the 2025-to-2030 time frame — as they focus on 5G radio first, then core slicing and edge computing," said Fabre.

Fabre added that this is because CSPs' 5G public networks plans vary significantly in timing and scope. CSPs will initially focus on consumer broadband services, which may delay investments in edge computing and core slicing, which are much more relevant and valuable to 5G projects.

Gartner advises that, to meet the demands of businesses, technology product managers planning 5G infrastructure solutions should focus on 5G networks that offer not only 5G radio but also core slicing and edge computing infrastructure and services for private networks. CSPs alone may not fully satisfy the short-to-midterm demands of organizations that are keen to deploy 5G quickly.

"Private networks for enterprises will be the most direct option for businesses that want to benefit from 5G capabilities early on," said Fabre. "These networks may be offered not only by CSPs but also directly by infrastructure vendors — and not just by the traditional large vendors of infrastructure, but also by suppliers with cloud and software backgrounds."

Methodology: The Gartner 5G use case and adoption survey was conducted in May 2018 through June 2018 among Gartner Research Circle members and others. The aim was to help Gartner understand the growing demand and adoption plans for 5G. In total, 185 members participated (85 Research Circle members and 100 external respondents). The results reflect the views of the respondents and companies surveyed. They do not represent global findings or the market as a whole.

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Gartner: Two-Thirds to Deploy 5G by 2020

Almost three-fourths (69 percent) of organizations have plans to deploy 5G by 2020, according to a new 5G use case and adoption survey by Gartner. Organizations expect 5G networks to be mainly used for Internet of Things (IoT) communications and video, with operational efficiency being the key driver.

"In terms of 5G adoption, end-user organizations have clear demands and expectations for 5G use cases," said Sylvain Fabre, Senior Research Director at Gartner. "However, one major issue that 5G users face is the lack of readiness of communications service providers (CSPs). Their 5G networks are not available or capable enough for the needs of organizations."

To fully exploit 5G, a new network topology is required, including new network elements such as edge computing, core network slicing and radio network densification. "In the short to medium term, organizations wanting to leverage 5G for use cases such as IoT communications, video, control and automation, fixed wireless access and high-performance edge analytics cannot fully rely on 5G public infrastructure for delivery," added Fabre.

Top Use Cases for 5G

IoT communications remains the most popular target use case for 5G, with 59 percent of the organizations surveyed expecting 5G-capable networks to be widely used for this purpose. The next most popular use case is video, which was chosen by 53 percent of the respondents.

"The figure for IoT communications is surprising, given that other proven and cost-effective alternatives, such as Narrowband IoT over 4G and low-power wide-area solutions, already exist for wireless IoT connectivity," said Fabre. "However, 5G is uniquely positioned to deliver a high density of connected endpoints — up to 1 million sensors per square kilometer."

"Additionally, 5G will potentially suit other subcategories of IoT that require very low latency. With regard to video, the use cases will be varied. From video analytics to collaboration, 5G's speed and low latency will be well suited to supporting 4K and 8K HD video content," added Fabre.

Status of 5G Deployment

Gartner predicts that by 2022 half of the CSPs that have completed commercial 5G deployments will fail to monetize their back-end technology infrastructure investments, due to systems not fully meeting 5G use case requirements.

"Most CSPs will only achieve a complete end-to-end 5G infrastructure on their public networks during the 2025-to-2030 time frame — as they focus on 5G radio first, then core slicing and edge computing," said Fabre.

Fabre added that this is because CSPs' 5G public networks plans vary significantly in timing and scope. CSPs will initially focus on consumer broadband services, which may delay investments in edge computing and core slicing, which are much more relevant and valuable to 5G projects.

Gartner advises that, to meet the demands of businesses, technology product managers planning 5G infrastructure solutions should focus on 5G networks that offer not only 5G radio but also core slicing and edge computing infrastructure and services for private networks. CSPs alone may not fully satisfy the short-to-midterm demands of organizations that are keen to deploy 5G quickly.

"Private networks for enterprises will be the most direct option for businesses that want to benefit from 5G capabilities early on," said Fabre. "These networks may be offered not only by CSPs but also directly by infrastructure vendors — and not just by the traditional large vendors of infrastructure, but also by suppliers with cloud and software backgrounds."

Methodology: The Gartner 5G use case and adoption survey was conducted in May 2018 through June 2018 among Gartner Research Circle members and others. The aim was to help Gartner understand the growing demand and adoption plans for 5G. In total, 185 members participated (85 Research Circle members and 100 external respondents). The results reflect the views of the respondents and companies surveyed. They do not represent global findings or the market as a whole.

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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 ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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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