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2025 State of the Cloud: IT Leaders Rewriting Cloud Strategies

Organizations continue to shift away from a single cloud approach toward more flexible hybrid cloud environments, according to the 2025 State of Cloud Report, conducted by Rackspace Technology.

The survey found that over 90% plan to make significant changes in their cloud strategy over the next two years. Of those respondents, 48% said that a hybrid cloud for multi-environment deployment will be critical to their IT operations over the next 12-24 months.

Image
Rackspace

Source: Rackspace

In addition, the results revealed 22% will accelerate hybrid cloud adoption, and 20% plan to invest in private cloud. Respondents indicated that these shifts are driven by a desire to prioritize flexibility, adaptability, and resilience amid demands for AI integrations that can improve operational efficiency and data analysis capabilities.

Despite the steady adoption of public clouds, IT teams are not preparing to abandon private clouds. Over two-thirds (69%) of respondents stated that their organizations had considered repatriating at least a portion of their workloads from public clouds back to private clouds or on-premises infrastructure, citing data security and compliance requirements (50%), better integration with existing systems (48%), and cost savings (44%) as rationales. For those that had recently repatriated workloads, nearly 80% of respondents reported that it had resolved those concerns.

Although the importance of cloud deployments is widely recognized, the survey reveals a significant gap in its full adoption among enterprises. Only 16% of respondents reported that cloud adoption is fully integrated into their business strategy and aligned with their business objectives with advanced practice areas in place. This group, identified in the report as Cloud Leaders, reported that their cloud environments exceeded expectations at 62% compared to only 37% of all survey respondents.

In addition, survey responses revealed that the Cloud Leaders are:

■ more likely to use a particular cloud platform because it is well aligned with their overarching cloud strategy.

■ leading when it comes to the integration of AI initiatives, with 37% using AI-driven cloud optimization to refine their cloud strategy, compared to 25% of others.

■ likely to leverage comprehensive workload-by-workload analysis to decide where to host all their workloads.

"As AI continues to drive rapid advancements, IT leaders are reevaluating their approach to workload management. Instead of updating existing infrastructure, they are designing entirely new cloud strategies to meet evolving demands," said Srini Koushik, President AI, Technology and Sustainability at Rackspace Technology. "To future-proof their organizations, many are transitioning from a 'one-size-fits-all' model in favor of a more flexible and resilient multi-strategy approach. This pivotal moment for hybrid and multi-cloud solutions empowers organizations to choose services tailored to their unique technical requirements and workloads."

A driving force behind the desire for multi-solution approaches is the ease with which organizations can move data between different cloud environments, with 86% stating that they can transfer workloads seamlessly between the public and private cloud and 83% reporting that they can do so between multiple public cloud hyperscalers.

AI Is the Catalyst for Next-Gen Cloud Developments

Development of AI initiatives remains a key focus for IT teams, with 84% of respondents reporting that they have taken steps to integrate their AI and cloud strategies. When asked about the business outcomes that were driving the integration of AI and cloud, 49% reported that their goal is to enhance operational efficiency, while 45% are leveraging AI to improve the insights generated by data analytics.

Major Hurdles Remain to Full Implementation of Cloud and AI Strategies

Although IT leaders are bullish on the prospect of cloud and AI integrations, talent and resource shortages remain major pitfalls that could limit their ability to fulfill these goals. 40% of respondents cited a lack of skilled cloud professionals as being a constraint, while 37% said that insufficient budgets are limiting their ability to meet business demands.

This trend is consistent with insights from Forrester's 2024 State of Cloud in the US Report. Their research found that US enterprise cloud decision-makers saw AI/ML as the most critical cloud technology area, with 24% looking to hire new staff skilled in these areas and an additional 25% planning to retrain existing staff to meet these needs.

"As organizations continue to advance their cloud infrastructure and leverage more complex environments such as hybrid and multi-cloud, the demand for skilled professionals is outstripping the supply," said Ben Blanquera, VP, Technology and Sustainability at Rackspace. "Enterprises must prioritize upskilling their teams to effectively leverage the advanced tools essential for modern IT management … Based on the survey findings, as well as insights from our customers and partners, it's clear that there is strong, continued demand in the market for professionals with expertise in key areas such as Kubernetes, serverless architectures, and cloud security."

Looking Ahead: New Innovations Are Coming, but Security Remains Key Focus

According to the survey, enterprises remain bullish on their efforts to integrate AI and more advanced cloud strategies. Half of respondents listed Cloud Enabled 5G services as one of their top priorities, followed by Cloud Native AI/ML Services (47%), Cloud Based Robotics (40%), and Cloud Based Sustainable Computing (34%).

Data security and compliance remain a key focus with an overwhelming majority (96%) of organizations surveyed having established procedures and policies for data privacy and compliance in cloud environments. 42% of respondents also report that they are leveraging AI for advanced security and threat detection.

Methodology: Commissioned by Rackspace Technology, the survey was conducted by Coleman Parkes Research in October and November 2024. Findings are based on the responses of 1,420 IT decision-makers across manufacturing/logistics, retail, hospitality/travel, energy, healthcare/pharma/biomedical, government, media/entertainment, and financial service sectors in the Americas, Europe, Asia, and the Middle East. Most companies/organizations polled have from 1,000 to 10,000+ employees and annual revenue between $50m and $15b.

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2025 State of the Cloud: IT Leaders Rewriting Cloud Strategies

Organizations continue to shift away from a single cloud approach toward more flexible hybrid cloud environments, according to the 2025 State of Cloud Report, conducted by Rackspace Technology.

The survey found that over 90% plan to make significant changes in their cloud strategy over the next two years. Of those respondents, 48% said that a hybrid cloud for multi-environment deployment will be critical to their IT operations over the next 12-24 months.

Image
Rackspace

Source: Rackspace

In addition, the results revealed 22% will accelerate hybrid cloud adoption, and 20% plan to invest in private cloud. Respondents indicated that these shifts are driven by a desire to prioritize flexibility, adaptability, and resilience amid demands for AI integrations that can improve operational efficiency and data analysis capabilities.

Despite the steady adoption of public clouds, IT teams are not preparing to abandon private clouds. Over two-thirds (69%) of respondents stated that their organizations had considered repatriating at least a portion of their workloads from public clouds back to private clouds or on-premises infrastructure, citing data security and compliance requirements (50%), better integration with existing systems (48%), and cost savings (44%) as rationales. For those that had recently repatriated workloads, nearly 80% of respondents reported that it had resolved those concerns.

Although the importance of cloud deployments is widely recognized, the survey reveals a significant gap in its full adoption among enterprises. Only 16% of respondents reported that cloud adoption is fully integrated into their business strategy and aligned with their business objectives with advanced practice areas in place. This group, identified in the report as Cloud Leaders, reported that their cloud environments exceeded expectations at 62% compared to only 37% of all survey respondents.

In addition, survey responses revealed that the Cloud Leaders are:

■ more likely to use a particular cloud platform because it is well aligned with their overarching cloud strategy.

■ leading when it comes to the integration of AI initiatives, with 37% using AI-driven cloud optimization to refine their cloud strategy, compared to 25% of others.

■ likely to leverage comprehensive workload-by-workload analysis to decide where to host all their workloads.

"As AI continues to drive rapid advancements, IT leaders are reevaluating their approach to workload management. Instead of updating existing infrastructure, they are designing entirely new cloud strategies to meet evolving demands," said Srini Koushik, President AI, Technology and Sustainability at Rackspace Technology. "To future-proof their organizations, many are transitioning from a 'one-size-fits-all' model in favor of a more flexible and resilient multi-strategy approach. This pivotal moment for hybrid and multi-cloud solutions empowers organizations to choose services tailored to their unique technical requirements and workloads."

A driving force behind the desire for multi-solution approaches is the ease with which organizations can move data between different cloud environments, with 86% stating that they can transfer workloads seamlessly between the public and private cloud and 83% reporting that they can do so between multiple public cloud hyperscalers.

AI Is the Catalyst for Next-Gen Cloud Developments

Development of AI initiatives remains a key focus for IT teams, with 84% of respondents reporting that they have taken steps to integrate their AI and cloud strategies. When asked about the business outcomes that were driving the integration of AI and cloud, 49% reported that their goal is to enhance operational efficiency, while 45% are leveraging AI to improve the insights generated by data analytics.

Major Hurdles Remain to Full Implementation of Cloud and AI Strategies

Although IT leaders are bullish on the prospect of cloud and AI integrations, talent and resource shortages remain major pitfalls that could limit their ability to fulfill these goals. 40% of respondents cited a lack of skilled cloud professionals as being a constraint, while 37% said that insufficient budgets are limiting their ability to meet business demands.

This trend is consistent with insights from Forrester's 2024 State of Cloud in the US Report. Their research found that US enterprise cloud decision-makers saw AI/ML as the most critical cloud technology area, with 24% looking to hire new staff skilled in these areas and an additional 25% planning to retrain existing staff to meet these needs.

"As organizations continue to advance their cloud infrastructure and leverage more complex environments such as hybrid and multi-cloud, the demand for skilled professionals is outstripping the supply," said Ben Blanquera, VP, Technology and Sustainability at Rackspace. "Enterprises must prioritize upskilling their teams to effectively leverage the advanced tools essential for modern IT management … Based on the survey findings, as well as insights from our customers and partners, it's clear that there is strong, continued demand in the market for professionals with expertise in key areas such as Kubernetes, serverless architectures, and cloud security."

Looking Ahead: New Innovations Are Coming, but Security Remains Key Focus

According to the survey, enterprises remain bullish on their efforts to integrate AI and more advanced cloud strategies. Half of respondents listed Cloud Enabled 5G services as one of their top priorities, followed by Cloud Native AI/ML Services (47%), Cloud Based Robotics (40%), and Cloud Based Sustainable Computing (34%).

Data security and compliance remain a key focus with an overwhelming majority (96%) of organizations surveyed having established procedures and policies for data privacy and compliance in cloud environments. 42% of respondents also report that they are leveraging AI for advanced security and threat detection.

Methodology: Commissioned by Rackspace Technology, the survey was conducted by Coleman Parkes Research in October and November 2024. Findings are based on the responses of 1,420 IT decision-makers across manufacturing/logistics, retail, hospitality/travel, energy, healthcare/pharma/biomedical, government, media/entertainment, and financial service sectors in the Americas, Europe, Asia, and the Middle East. Most companies/organizations polled have from 1,000 to 10,000+ employees and annual revenue between $50m and $15b.

Hot Topics

The Latest

Rapid AI adoption and the unique ways AI workloads operate is redefining the scope and structure of what these teams must deliver. This shift is forcing organizations to rethink how they manage scale, automation, and control, according to The State of SRE and Platform Engineering 2026, a new report from Dynatrace ...

AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

Ask an infrastructure team how confident they are in their ability to govern AI, and most will tell you they've got it handled. A recent survey of 406 IT decision-makers and platform engineering leaders found 86% expressing exactly that confidence. Ask the same group whether they have a formal written AI governance policy, and the number drops to 30%, according to Spacelift's Infrastructure Automation Report ...

In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...