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State of the Data Center 2024: Hybrid IT Adoption Accelerates

More than ever, IT executives have options for strategically locating computing resources across multiple environments, with an eye toward interconnected digital ecosystems that deliver value, performance and flexibility. These specialized digital ecosystems are being strategically designed via combinations of colocation, cloud and on-premises resources aligned with business objectives.

The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management.

However, this cautious approach also must accommodate a growing volume of resource-intensive artificial intelligence (AI) and other high-density workloads critical to organizational growth and innovation. The result of this dichotomy is an accelerated embrace of hybrid IT ecosystems to support varying types of data and workload needs.

Specifically, 98% of organizations say they have currently adopted or plan to adopt a hybrid model using colocation, private cloud and public cloud to manage their workloads.


Source: CoreSite

"The 2024 data demonstrates that IT leaders are increasingly relying on hybrid IT environments to support business objectives, including better cost control and predictability, and to efficiently deploy specific workloads to maximize benefits," said Juan Font, CoreSite President and CEO and American Tower Senior Vice President. "Underscored by the evolving needs of AI and other high-density workloads, modern hybrid IT strategies allow for the type of flexibility that can reduce infrastructure footprints and focus IT resources and talent on growth, while delivering the performance organizations need to remain competitive."

Key insights from this year's report include:

Connection Reigns Supreme

Companies need to directly connect to the cloud and interconnect systems and locations to transfer large-scale amounts of data, while keeping latency, cost, security and quality in mind. In fact, cloud interconnection was the No. 1 reason for using colocation for nearly half of the 22 workloads included in the survey. However, only 31% of respondents say their current colocation provider offers interconnection to a variety of cloud providers.

Additionally, 95% of respondents said the ability of colocation providers to offer native, direct connections to the major cloud providers is important, with 69% citing it as very important.

A Public Cloud Exodus

The public cloud has historically been seen as an essential platform to replace legacy technology or quickly add new capabilities to improve agility and flexibility. However, "cloud smart" hybrid IT infrastructure environments are increasingly valued over an "all in" cloud approach for their ability to effectively and efficiently address cost concerns while meeting performance and compliance requirements.

Most participants in the survey say they have considered a move from public cloud to colocation across 22 different workloads, led by generative AI (GenAI) applications, BI/analytics, and IoT connectivity and management. Compared with the 2023 study, the use of public cloud is trending down across all workloads.

AI Is Hybrid IT Accelerant

Heightened use of AI — which requires more computing resources and high data volumes — is forcing IT leaders to re-evaluate options for hosting these and other high-density workloads within current budget constraints. The 2024 results show a shift of AI-specific workloads from on-prem environments, primarily to colocation data centers.

Additionally, at least three-quarters of respondents in this year's survey said they are considering moving AI-related workloads from the public cloud to a colocation data center, including GenAI applications (91%), chatbots (81%), predictive analytics (79%) and augmented AI applications (76%).

"IT executives have more options than ever for locating computing resources, and the CoreSite 2024 State of the Data Center Report demonstrates how highly customized hybrid environments that include colocation are becoming the option of choice for organizations that must remain highly competitive while continually managing cost predictably," said John Gallant, Enterprise Consulting Director at CIO. "These often-competing pressures only will become more salient with AI's explosive growth in the coming years. Adopting an ecosystem — and regularly optimizing that ecosystem — with a mix of colocation, private cloud and public cloud capabilities is a trend that likely will continue to remain dominant in the coming years."

Methodology: The report is based on a quantitative survey of 300 CIOs, CTOs and other IT decision-makers, plus in-depth interviews with seven senior technology executives from financial services, healthcare, retail and SaaS organizations. Foundry, an IDG, Inc. company, conducted the research.

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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 ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

State of the Data Center 2024: Hybrid IT Adoption Accelerates

More than ever, IT executives have options for strategically locating computing resources across multiple environments, with an eye toward interconnected digital ecosystems that deliver value, performance and flexibility. These specialized digital ecosystems are being strategically designed via combinations of colocation, cloud and on-premises resources aligned with business objectives.

The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management.

However, this cautious approach also must accommodate a growing volume of resource-intensive artificial intelligence (AI) and other high-density workloads critical to organizational growth and innovation. The result of this dichotomy is an accelerated embrace of hybrid IT ecosystems to support varying types of data and workload needs.

Specifically, 98% of organizations say they have currently adopted or plan to adopt a hybrid model using colocation, private cloud and public cloud to manage their workloads.


Source: CoreSite

"The 2024 data demonstrates that IT leaders are increasingly relying on hybrid IT environments to support business objectives, including better cost control and predictability, and to efficiently deploy specific workloads to maximize benefits," said Juan Font, CoreSite President and CEO and American Tower Senior Vice President. "Underscored by the evolving needs of AI and other high-density workloads, modern hybrid IT strategies allow for the type of flexibility that can reduce infrastructure footprints and focus IT resources and talent on growth, while delivering the performance organizations need to remain competitive."

Key insights from this year's report include:

Connection Reigns Supreme

Companies need to directly connect to the cloud and interconnect systems and locations to transfer large-scale amounts of data, while keeping latency, cost, security and quality in mind. In fact, cloud interconnection was the No. 1 reason for using colocation for nearly half of the 22 workloads included in the survey. However, only 31% of respondents say their current colocation provider offers interconnection to a variety of cloud providers.

Additionally, 95% of respondents said the ability of colocation providers to offer native, direct connections to the major cloud providers is important, with 69% citing it as very important.

A Public Cloud Exodus

The public cloud has historically been seen as an essential platform to replace legacy technology or quickly add new capabilities to improve agility and flexibility. However, "cloud smart" hybrid IT infrastructure environments are increasingly valued over an "all in" cloud approach for their ability to effectively and efficiently address cost concerns while meeting performance and compliance requirements.

Most participants in the survey say they have considered a move from public cloud to colocation across 22 different workloads, led by generative AI (GenAI) applications, BI/analytics, and IoT connectivity and management. Compared with the 2023 study, the use of public cloud is trending down across all workloads.

AI Is Hybrid IT Accelerant

Heightened use of AI — which requires more computing resources and high data volumes — is forcing IT leaders to re-evaluate options for hosting these and other high-density workloads within current budget constraints. The 2024 results show a shift of AI-specific workloads from on-prem environments, primarily to colocation data centers.

Additionally, at least three-quarters of respondents in this year's survey said they are considering moving AI-related workloads from the public cloud to a colocation data center, including GenAI applications (91%), chatbots (81%), predictive analytics (79%) and augmented AI applications (76%).

"IT executives have more options than ever for locating computing resources, and the CoreSite 2024 State of the Data Center Report demonstrates how highly customized hybrid environments that include colocation are becoming the option of choice for organizations that must remain highly competitive while continually managing cost predictably," said John Gallant, Enterprise Consulting Director at CIO. "These often-competing pressures only will become more salient with AI's explosive growth in the coming years. Adopting an ecosystem — and regularly optimizing that ecosystem — with a mix of colocation, private cloud and public cloud capabilities is a trend that likely will continue to remain dominant in the coming years."

Methodology: The report is based on a quantitative survey of 300 CIOs, CTOs and other IT decision-makers, plus in-depth interviews with seven senior technology executives from financial services, healthcare, retail and SaaS organizations. Foundry, an IDG, Inc. company, conducted the research.

Hot Topics

The Latest

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 ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...