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Top Cloud Trends for 2025: Wrangling Cloud Spend, Expanding FinOps Teams, and Adopting GenAI

Brian Adler
Flexera

Cloud computing evolves rapidly, with each year bringing new technologies and trends that IT professionals must navigate. The Flexera 2025 State of the Cloud Report spotlights these pressures and how they are set to shape IT strategy in the year ahead, leveraging the expert insights of over 750 global cloud decision-makers.

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, this year's report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies.

Cloud Usage Continues to Grow Amid Repatriation Efforts

One thing is clear: organizations are still embracing the cloud. In fact, it seems that many have arrived at their steady state, having settled into an efficient and effective cloud environment that meets their standing needs. For most enterprises, this manifests in a hybrid cloud strategy with at least one public and one private cloud.

In particular, public cloud spend continues to increase. The report uncovered 33% of organizations are spending more than $12 million annually on public cloud alone, up from 29% last year. Among large enterprises, that figure increases to 40%. Along with these growing percentages, some organizations are exploring cloud repatriation.

Today, the current cloud inefficiencies and potential for cost savings are being factored into some IT decision discussions, as leaders consider the option of moving certain workloads from the cloud and back to on-premises data centers. However, this shift toward repatriation is happening slowly. Only 21% of cloud workloads have been repatriated, which is far outpaced by the rate of net-new cloud projects. Even with some moving their workloads to non-cloud environments, cloud usage is still on the rise — now and in the foreseeable future.

Cost Management and Security Sit Top of Mind

Year-over-year, managing cloud spend remains the top challenge for organizations. As additional workloads migrate to the cloud and the associated cost increases, so does the pressure to optimize that spend. A large majority (87%) of respondents cite "cost efficiency/savings" as their top metric for validating team success against cloud goals, further underscoring this narrative. Notably, this year, "cost avoidance," which can be achieved with proper license management, was resurgent among secondary progress metrics, rising from 28% to 64%.

The difficulty of accurate forecasting has also helped turn managing cloud spend into a perennial problem. Organizations are seeking to solve forecasting challenges — and overspending — with the use of FinOps teams. With the proper FinOps framework, organizations are empowered to maximize the business value of cloud, enable timely, data-driven decision making, and encourage cross-team collaboration for greater financial accountability. 86% of organizations either currently have a dedicated FinOps team responsible for some or all of their cloud cost optimization tasks or are planning to implement one within the next year and beyond. Understanding the value of these practices, the number of organizations not using a FinOps team dropped by 6 percentage points from 2024.

Beyond cloud spend, security also received a podium finish, coming in as the second-largest concern for cloud initiatives. In an age of increasingly advanced cyber threats, it's no surprise that security weighs heavy on the minds of many respondents. Specifically, 75% identified governance, managing software licenses, and a lack of resources and expertise as the main drivers behind security concerns.

Generative AI Is Here to Stay

Having dominated industry conversation over recent years, AI, especially generative AI (GenAI), is moving beyond hype to enterprise integration. An impressive 83% of organizations are already using or currently experimenting with GenAI — the most interest any new Platform-as-a-Service offering has generated in the State of the Cloud Report's 14-year history.

The rate of adoption will only continue to increase as the technology advances, becoming more accurate and widely incorporated in daily workflows, products, and services. Last year, 14% of organizations reported not using GenAI. This year, that figure has plummeted to just 1% of organizations. The use of data warehouse services also surged this year, and given they are often used to feed AI models, serves as yet another indicator that GenAI is clearly here to stay long-term.

What's Coming

Looking ahead to the rest of 2025 and beyond, cloud initiatives will be defined by this skyrocketing interest in emerging technologies like GenAI, and the need to optimize spend associated with growing cloud usage. In the coming years, FinOps is likely to emerge as the new normal for combating cost challenges.

Understanding cloud usage and mastering cloud management isn't an easy task, but it can be done with proper oversight and a team of collaborative professionals. It remains to be seen what technologies pass the tipping point from novel to necessity and continue to make an impact. 

Brian Adler is Senior Director of Cloud Market Strategy at Flexera

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We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

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The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

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The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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 ...

Top Cloud Trends for 2025: Wrangling Cloud Spend, Expanding FinOps Teams, and Adopting GenAI

Brian Adler
Flexera

Cloud computing evolves rapidly, with each year bringing new technologies and trends that IT professionals must navigate. The Flexera 2025 State of the Cloud Report spotlights these pressures and how they are set to shape IT strategy in the year ahead, leveraging the expert insights of over 750 global cloud decision-makers.

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, this year's report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies.

Cloud Usage Continues to Grow Amid Repatriation Efforts

One thing is clear: organizations are still embracing the cloud. In fact, it seems that many have arrived at their steady state, having settled into an efficient and effective cloud environment that meets their standing needs. For most enterprises, this manifests in a hybrid cloud strategy with at least one public and one private cloud.

In particular, public cloud spend continues to increase. The report uncovered 33% of organizations are spending more than $12 million annually on public cloud alone, up from 29% last year. Among large enterprises, that figure increases to 40%. Along with these growing percentages, some organizations are exploring cloud repatriation.

Today, the current cloud inefficiencies and potential for cost savings are being factored into some IT decision discussions, as leaders consider the option of moving certain workloads from the cloud and back to on-premises data centers. However, this shift toward repatriation is happening slowly. Only 21% of cloud workloads have been repatriated, which is far outpaced by the rate of net-new cloud projects. Even with some moving their workloads to non-cloud environments, cloud usage is still on the rise — now and in the foreseeable future.

Cost Management and Security Sit Top of Mind

Year-over-year, managing cloud spend remains the top challenge for organizations. As additional workloads migrate to the cloud and the associated cost increases, so does the pressure to optimize that spend. A large majority (87%) of respondents cite "cost efficiency/savings" as their top metric for validating team success against cloud goals, further underscoring this narrative. Notably, this year, "cost avoidance," which can be achieved with proper license management, was resurgent among secondary progress metrics, rising from 28% to 64%.

The difficulty of accurate forecasting has also helped turn managing cloud spend into a perennial problem. Organizations are seeking to solve forecasting challenges — and overspending — with the use of FinOps teams. With the proper FinOps framework, organizations are empowered to maximize the business value of cloud, enable timely, data-driven decision making, and encourage cross-team collaboration for greater financial accountability. 86% of organizations either currently have a dedicated FinOps team responsible for some or all of their cloud cost optimization tasks or are planning to implement one within the next year and beyond. Understanding the value of these practices, the number of organizations not using a FinOps team dropped by 6 percentage points from 2024.

Beyond cloud spend, security also received a podium finish, coming in as the second-largest concern for cloud initiatives. In an age of increasingly advanced cyber threats, it's no surprise that security weighs heavy on the minds of many respondents. Specifically, 75% identified governance, managing software licenses, and a lack of resources and expertise as the main drivers behind security concerns.

Generative AI Is Here to Stay

Having dominated industry conversation over recent years, AI, especially generative AI (GenAI), is moving beyond hype to enterprise integration. An impressive 83% of organizations are already using or currently experimenting with GenAI — the most interest any new Platform-as-a-Service offering has generated in the State of the Cloud Report's 14-year history.

The rate of adoption will only continue to increase as the technology advances, becoming more accurate and widely incorporated in daily workflows, products, and services. Last year, 14% of organizations reported not using GenAI. This year, that figure has plummeted to just 1% of organizations. The use of data warehouse services also surged this year, and given they are often used to feed AI models, serves as yet another indicator that GenAI is clearly here to stay long-term.

What's Coming

Looking ahead to the rest of 2025 and beyond, cloud initiatives will be defined by this skyrocketing interest in emerging technologies like GenAI, and the need to optimize spend associated with growing cloud usage. In the coming years, FinOps is likely to emerge as the new normal for combating cost challenges.

Understanding cloud usage and mastering cloud management isn't an easy task, but it can be done with proper oversight and a team of collaborative professionals. It remains to be seen what technologies pass the tipping point from novel to necessity and continue to make an impact. 

Brian Adler is Senior Director of Cloud Market Strategy at Flexera

Hot Topics

The Latest

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...

We just surveyed 300 frontend and mobile engineers across 16 countries, and the finding that keeps sticking with me isn't the one about AI. It's this: 74% of engineering teams rate themselves in the "middle" of the observability maturity scale. Not reactive, not strategic. Stuck in the middle. They have dashboards, they have tracing, they have alerts. And yet when something goes wrong, they still can't tell you why ...

In MEAN TIME TO INSIGHT Episode 25, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses  AI's impact on the Wide Area Network (WAN) ... 

Application performance monitoring (APM) dashboards are only as useful as what they are configured to measure. The default setup covers obvious failure modes such as downtime, error spikes, and latency breaches, but it does not cover everything. Some failures produce no alerts or anomalies. The dashboard stays green while users experience a broken product. Here are six signs that is happening ...

The race to deploy AI is largely over. Most enterprises have entered it. The question now is not whether artificial intelligence is running inside the organization. The question is whether anyone is genuinely responsible for what it does. That is not a technical question. It is a leadership one. And most organizations are not yet structured to answer it honestly ...

A new analysis of 250 real-world queries across common retail tasks, such as product pricing, availability, ratings, shipping and specifications, reveals systemic inefficiency at the heart of web-based AI agents. On average, 97.9% of the data retrieved by agents from live web pages is irrelevant to the query being answered. Specifically, the average page ingested ran nearly 9,000 characters, while the average answer was just 32 characters, resulting in a noise-to-signal ratio of 278:1. Price queries were the most extreme outlier, with noise rates approaching 99.5%. That's not a rounding error. That's a structural problem ...

The enterprises that will define the next decade are not the ones that deployed the most technology. They are the ones who understood what their technology was actually doing. That distinction is not a philosophical point. It is the central operational challenge facing every organization that has spent the last five years modernizing at speed ...

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 ...