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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

Hot Topics

The Latest

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...

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

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...

Top-performing businesses prioritize data-driven decision making, enabling leaders to move from intuition and gut feel towards evidence-based judgment. But that judgment is only sound when the data underpinning decisions is accurate. With incident management, data accuracy is particularly important. Long-term revenue, customer trust, and operational stability depend on high-quality data that enables teams to quickly identify and address the root cause of major incidents. Against this backdrop, governance becomes a critical endeavor to ensure the right data drives the right action ...

In MEAN TIME TO INSIGHT Episode 26, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network compliance ... 

Most production autonomous agents do not run in a vacuum. They run inside cloud infrastructure: virtual machines, containers, pods, managed clusters or private servers. That is where most operations teams start monitoring. Is the VM alive? Is the container running? Did the pod restart? Is memory stable? Is CPU too high? Did the health check pass? Those signals are useful. They tell you whether the shell around the agent is alive. They do not tell you whether the agent inside is actually operational ...

Enterprise IT environments have never been more observable ... Yet many organizations still grapple with outages, lengthy incident resolution cycles, and increasing complexity. Most teams do not suffer from a shortage of data. They struggle to determine what deserves attention and what action to take next ... Enterprise IT operations must move beyond monitoring and visibility. The next stage of maturity is decision operations, an approach that helps teams make faster, better-informed decisions ...