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Gartner: 4 Trends Shaping Future of Cloud, Data Center and Edge Infrastructure

Gartner highlighted four trends impacting cloud, data center and edge infrastructure in 2023, as infrastructure and operations (I&O) teams pivot to support new technologies and ways of working during a year of economic uncertainty.

Paul Delory, VP Analyst at Gartner said, "In the current economic climate, the biggest problem companies face in 2023 may not be IT infrastructure. I&O teams, however, will be impacted by economic and geopolitical forces and will have a vital role to play in ameliorating their effects.

"This won't be a year to realize grand ambitions, but it marks a moment to refocus, retool and rethink your infrastructure. In every crisis lies opportunity, and in this case, the chance to make positive changes that may be long overdue."

According to Gartner, the top four cloud, data center and edge infrastructure trends include:

Trend 1: Cloud Teams Will Optimize and Refactor Cloud Infrastructure

Public cloud usage is almost universal, but many deployments are ad hoc and poorly implemented. I&O teams have an opportunity this year to revisit hastily assembled or poorly architected cloud infrastructure to make it more efficient, resilient and cost-effective.

The focus of refactoring cloud infrastructure should be on optimizing costs by eliminating redundant, overbuilt or unused cloud infrastructure; building business resilience rather than service-level redundancy; using cloud infrastructure as a way to mitigate supply chain disruptions; and modernizing infrastructure. According to Gartner, 65% of application workloads will be optimal or ready for cloud delivery by 2027, up from 45% in 2022.

Trend 2: New Application Architectures Will Demand New Kinds of Infrastructure

I&O teams are continually challenged to meet new and growing demands with new types of infrastructure — including edge infrastructure for data-intensive use cases, non-x86 architectures for specialized workloads, serverless edge architectures, and 5G mobile service. Gartner predicts 15% of on-premises production workloads will run in containers by 2026, up from less than 5% in 2022.

I&O professionals must evaluate alternative options with care, focusing on their ability to manage, integrate and transform in the face of constraints on time, talent and resources. "Don't revert to traditional methods or solutions just because they've worked well in the past," said Delory. "Challenging periods are times to innovate and find new solutions to meet business demands."

Trend 3: Data Center Teams Will Adopt Cloud Principles On-Premises

Data centers are shrinking and migrating to platform-based colocation providers. Combined with new as-a-service models for physical infrastructure, this can bring cloud-like service-centricity and economic models to on-premises infrastructure.

According to Gartner, 35% of data center infrastructure will be managed from a cloud-based control plane by 2027, from less than 10% in 2022. I&O professionals should focus this year on building cloud-native infrastructure within the data center; migrating workloads from owned facilities to co-location facilities or the edge; or embracing as-a-service models for physical infrastructure.

Trend 4: Successful Organizations Will Make Skills Growth Their Highest Priority

Lack of skills remains the biggest barrier to infrastructure modernization initiatives, with many organizations finding they cannot hire outside talent to fill these skills gaps. IT organizations will not succeed unless they prioritize organic skills growth.

I&O leaders must make operations skills growth their highest priority this year. Encourage I&O professionals to take on new roles as site reliability engineers or subject matter expert consultants for developer teams and business units. Gartner predicts 60% of data center infrastructure teams will have relevant automation and cloud skills by 2027, up from 30% in 2022.

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Gartner: 4 Trends Shaping Future of Cloud, Data Center and Edge Infrastructure

Gartner highlighted four trends impacting cloud, data center and edge infrastructure in 2023, as infrastructure and operations (I&O) teams pivot to support new technologies and ways of working during a year of economic uncertainty.

Paul Delory, VP Analyst at Gartner said, "In the current economic climate, the biggest problem companies face in 2023 may not be IT infrastructure. I&O teams, however, will be impacted by economic and geopolitical forces and will have a vital role to play in ameliorating their effects.

"This won't be a year to realize grand ambitions, but it marks a moment to refocus, retool and rethink your infrastructure. In every crisis lies opportunity, and in this case, the chance to make positive changes that may be long overdue."

According to Gartner, the top four cloud, data center and edge infrastructure trends include:

Trend 1: Cloud Teams Will Optimize and Refactor Cloud Infrastructure

Public cloud usage is almost universal, but many deployments are ad hoc and poorly implemented. I&O teams have an opportunity this year to revisit hastily assembled or poorly architected cloud infrastructure to make it more efficient, resilient and cost-effective.

The focus of refactoring cloud infrastructure should be on optimizing costs by eliminating redundant, overbuilt or unused cloud infrastructure; building business resilience rather than service-level redundancy; using cloud infrastructure as a way to mitigate supply chain disruptions; and modernizing infrastructure. According to Gartner, 65% of application workloads will be optimal or ready for cloud delivery by 2027, up from 45% in 2022.

Trend 2: New Application Architectures Will Demand New Kinds of Infrastructure

I&O teams are continually challenged to meet new and growing demands with new types of infrastructure — including edge infrastructure for data-intensive use cases, non-x86 architectures for specialized workloads, serverless edge architectures, and 5G mobile service. Gartner predicts 15% of on-premises production workloads will run in containers by 2026, up from less than 5% in 2022.

I&O professionals must evaluate alternative options with care, focusing on their ability to manage, integrate and transform in the face of constraints on time, talent and resources. "Don't revert to traditional methods or solutions just because they've worked well in the past," said Delory. "Challenging periods are times to innovate and find new solutions to meet business demands."

Trend 3: Data Center Teams Will Adopt Cloud Principles On-Premises

Data centers are shrinking and migrating to platform-based colocation providers. Combined with new as-a-service models for physical infrastructure, this can bring cloud-like service-centricity and economic models to on-premises infrastructure.

According to Gartner, 35% of data center infrastructure will be managed from a cloud-based control plane by 2027, from less than 10% in 2022. I&O professionals should focus this year on building cloud-native infrastructure within the data center; migrating workloads from owned facilities to co-location facilities or the edge; or embracing as-a-service models for physical infrastructure.

Trend 4: Successful Organizations Will Make Skills Growth Their Highest Priority

Lack of skills remains the biggest barrier to infrastructure modernization initiatives, with many organizations finding they cannot hire outside talent to fill these skills gaps. IT organizations will not succeed unless they prioritize organic skills growth.

I&O leaders must make operations skills growth their highest priority this year. Encourage I&O professionals to take on new roles as site reliability engineers or subject matter expert consultants for developer teams and business units. Gartner predicts 60% of data center infrastructure teams will have relevant automation and cloud skills by 2027, up from 30% in 2022.

Hot Topics

The Latest

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...