2025 Cloud and FinOps Predictions - Part 2

As part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 2 covers repatriation and more.

 

REPATRIATION

Most new production workloads are born in the cloud, this will continue. However, in the coming year, there will be an increase in customers who modernized applications in the public cloud, repatriating this data due to cost control. The adoption of cloud infrastructure will continue to grow, but a percentage of organizations will bring services back down to a self-hosted data center.
Simon Taylor
CEO and Co-Founder, HYCU

With rising IT costs driven by increased license fees from major vendors and soaring hyperscaler bills, many organizations are facing budget crises. In 2025, we predict a shift as companies begin moving workloads back from the cloud to on-premises or colocations to reduce operational expenses.
Sascha Giese
Global Tech Evangelist, Observability, SolarWinds

Repatriation is accelerating, but the cloud might respond by 2025, likely through more competitive pricing, and also technical advancements offering greater flexibility and security. We're still heavily moving to the cloud, and repatriation might take a few years to slow down. 
William McKnight
Analyst, GigaOm

MULTI-CLOUD REPATRIATION

Multi-cloud repatriation will persist: Although there is still a movement of enterprises moving from private to public clouds, in 2025 we will see AI adoption drive a wave of simultaneous multi-cloud repatriation. Rising cloud costs, security concerns and resource constraints caused by AI adoption are the main drivers behind this trend and cloud repatriation will emerge as the strategic solution for controlling it.
Karthik Ranganathan
Co-Founder and Co-CEO, Yugabyte

CLOUD REPATRIATION WON'T DELIVER COST SAVINGS

Cloud repatriation won't be the key to cost savings (for most): As budget continues to be a key concern for organizations, one approach to cutting costs people are talking about, but not executing on is organizations moving their workloads from cloud to on-prem, however, that won't be feasible (or strategic) for most. It's true that certain organizations with predictable workloads might benefit from hybrid or on-prem solutions — like large-scale social media networks. However, for most companies, the time, money, resources, and overall complexity of full-scale cloud repatriation won't offset cost. Instead, they should look into implementing a targeted optimization approach — instead of abandoning their cloud infrastructure, they can optimize it for cost, performance, and scalability. This requires a mix of FinOps, leveraging the right tools, and continuous monitoring of infrastructure economics, but teams that lean into this approach will see meaningful cost savings without sacrificing the agility and scalability that drew them to cloud platforms in the first place.
Richard "Richi" Hartmann
Director of Community & Office of the CTO, Grafana Labs

SOVEREIGN CLOUD

All Hail The Sovereign Cloud: In 2025, we're going to see a real push towards sovereign and private clouds. We're already seeing the largest hyperscalers pouring billions of dollars into constructing data centers around the world to offer these capabilities. This rush to build capacity will take a while to come online, in the meantime, demand will skyrocket fueled by a wave of legislation coming predominantly from the EU. Those with flexible, scalable and elastic cloud infrastructure will be able to adopt sovereign or private approaches quickly. Those with monolithic, rigid infrastructure will be putting themselves behind the curve.
Kevin Cochrane
CMO, Vultr

INFRASTRUCTURE-AS-CODE

The adoption of infrastructure-as-code will make multi-cloud deployment strategies more sophisticated, enabling organizations to avoid vendor lock-in and optimize costs. Advanced tooling will remove provider differences, allowing seamless deployment and management across cloud platforms while maintaining consistent security and compliance controls.
Tristan Stahnke
Principal Application Security Consultant, GuidePoint Security

CLOUD-NATIVE ANALYTICS

Scalability and agility demands will push cloud-native analytics to the forefront: By 2025, cloud-native architectures will be the go-to choice for businesses looking to keep pace with the need for agility and scalability. As intelligence-supported decision-making takes center stage across industries, cloud-native analytics will lead the way. Companies are increasingly adopting multi-cloud strategies to maintain flexibility and avoid vendor lock-in, and analytics platforms will need to support seamless interoperability across different cloud providers. Users will look for hyperscale-neutral solutions that integrate effortlessly with major players like AWS, GCP, and Azure, while also handling AI/ML/Generative workloads with ease. Cloud-native is set to become the foundation for analytics in the next phase of business intelligence.
Trevor Schulze
Chief Digital & Information Officer, Alteryx

GREENOPS

GreenOps will grab a greater foothold: Statistics show that the public cloud now has a larger carbon footprint than even the airline industry, and a single public data center uses as much electricity as 50,000 homes. Amid new regulations, particularly in Europe, coupled with consumer pressure, we predict more interest in the concept of GreenOps. Put simply, GreenOps is the practice of minimizing a cloud environment's carbon footprint by efficiently using cloud resources. This can only be done with visibility into an organization's true cloud spend and a deeper understanding of how resources are allocated. Optimizing cloud use to reduce waste will be a key part of this puzzle, leading organizations and individuals to take a closer look at their data usage.
Bill Buckley
SVP of Engineering, CloudZero

Cloud providers will prioritize energy-efficient data centers and sustainable practices: The amount of electricity consumed to power today's data centers is incredible. A Gemini query (Google's generative AI tool) needs nearly 10 times as much electricity to process as a traditional Google search. Large tech brands including IBM, AWS and Google are already looking for ways to reduce the amount of electricity usage through energy-efficient hardware, and green energy sources. Power management software will also rise in popularity. Low-power processors, solid-state drives and energy-efficient cooling systems are cloud features you want to look for in 2025.
Sashank Purighalla
Founder and CEO, BOS Framework

Go to: 2025 Cloud and FinOps Predictions - Part 3

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2025 Cloud and FinOps Predictions - Part 2

As part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 2 covers repatriation and more.

 

REPATRIATION

Most new production workloads are born in the cloud, this will continue. However, in the coming year, there will be an increase in customers who modernized applications in the public cloud, repatriating this data due to cost control. The adoption of cloud infrastructure will continue to grow, but a percentage of organizations will bring services back down to a self-hosted data center.
Simon Taylor
CEO and Co-Founder, HYCU

With rising IT costs driven by increased license fees from major vendors and soaring hyperscaler bills, many organizations are facing budget crises. In 2025, we predict a shift as companies begin moving workloads back from the cloud to on-premises or colocations to reduce operational expenses.
Sascha Giese
Global Tech Evangelist, Observability, SolarWinds

Repatriation is accelerating, but the cloud might respond by 2025, likely through more competitive pricing, and also technical advancements offering greater flexibility and security. We're still heavily moving to the cloud, and repatriation might take a few years to slow down. 
William McKnight
Analyst, GigaOm

MULTI-CLOUD REPATRIATION

Multi-cloud repatriation will persist: Although there is still a movement of enterprises moving from private to public clouds, in 2025 we will see AI adoption drive a wave of simultaneous multi-cloud repatriation. Rising cloud costs, security concerns and resource constraints caused by AI adoption are the main drivers behind this trend and cloud repatriation will emerge as the strategic solution for controlling it.
Karthik Ranganathan
Co-Founder and Co-CEO, Yugabyte

CLOUD REPATRIATION WON'T DELIVER COST SAVINGS

Cloud repatriation won't be the key to cost savings (for most): As budget continues to be a key concern for organizations, one approach to cutting costs people are talking about, but not executing on is organizations moving their workloads from cloud to on-prem, however, that won't be feasible (or strategic) for most. It's true that certain organizations with predictable workloads might benefit from hybrid or on-prem solutions — like large-scale social media networks. However, for most companies, the time, money, resources, and overall complexity of full-scale cloud repatriation won't offset cost. Instead, they should look into implementing a targeted optimization approach — instead of abandoning their cloud infrastructure, they can optimize it for cost, performance, and scalability. This requires a mix of FinOps, leveraging the right tools, and continuous monitoring of infrastructure economics, but teams that lean into this approach will see meaningful cost savings without sacrificing the agility and scalability that drew them to cloud platforms in the first place.
Richard "Richi" Hartmann
Director of Community & Office of the CTO, Grafana Labs

SOVEREIGN CLOUD

All Hail The Sovereign Cloud: In 2025, we're going to see a real push towards sovereign and private clouds. We're already seeing the largest hyperscalers pouring billions of dollars into constructing data centers around the world to offer these capabilities. This rush to build capacity will take a while to come online, in the meantime, demand will skyrocket fueled by a wave of legislation coming predominantly from the EU. Those with flexible, scalable and elastic cloud infrastructure will be able to adopt sovereign or private approaches quickly. Those with monolithic, rigid infrastructure will be putting themselves behind the curve.
Kevin Cochrane
CMO, Vultr

INFRASTRUCTURE-AS-CODE

The adoption of infrastructure-as-code will make multi-cloud deployment strategies more sophisticated, enabling organizations to avoid vendor lock-in and optimize costs. Advanced tooling will remove provider differences, allowing seamless deployment and management across cloud platforms while maintaining consistent security and compliance controls.
Tristan Stahnke
Principal Application Security Consultant, GuidePoint Security

CLOUD-NATIVE ANALYTICS

Scalability and agility demands will push cloud-native analytics to the forefront: By 2025, cloud-native architectures will be the go-to choice for businesses looking to keep pace with the need for agility and scalability. As intelligence-supported decision-making takes center stage across industries, cloud-native analytics will lead the way. Companies are increasingly adopting multi-cloud strategies to maintain flexibility and avoid vendor lock-in, and analytics platforms will need to support seamless interoperability across different cloud providers. Users will look for hyperscale-neutral solutions that integrate effortlessly with major players like AWS, GCP, and Azure, while also handling AI/ML/Generative workloads with ease. Cloud-native is set to become the foundation for analytics in the next phase of business intelligence.
Trevor Schulze
Chief Digital & Information Officer, Alteryx

GREENOPS

GreenOps will grab a greater foothold: Statistics show that the public cloud now has a larger carbon footprint than even the airline industry, and a single public data center uses as much electricity as 50,000 homes. Amid new regulations, particularly in Europe, coupled with consumer pressure, we predict more interest in the concept of GreenOps. Put simply, GreenOps is the practice of minimizing a cloud environment's carbon footprint by efficiently using cloud resources. This can only be done with visibility into an organization's true cloud spend and a deeper understanding of how resources are allocated. Optimizing cloud use to reduce waste will be a key part of this puzzle, leading organizations and individuals to take a closer look at their data usage.
Bill Buckley
SVP of Engineering, CloudZero

Cloud providers will prioritize energy-efficient data centers and sustainable practices: The amount of electricity consumed to power today's data centers is incredible. A Gemini query (Google's generative AI tool) needs nearly 10 times as much electricity to process as a traditional Google search. Large tech brands including IBM, AWS and Google are already looking for ways to reduce the amount of electricity usage through energy-efficient hardware, and green energy sources. Power management software will also rise in popularity. Low-power processors, solid-state drives and energy-efficient cooling systems are cloud features you want to look for in 2025.
Sashank Purighalla
Founder and CEO, BOS Framework

Go to: 2025 Cloud and FinOps Predictions - Part 3

Related Links

Hot Topics

The Latest

When AI Becomes the Corporate OS

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 ...

The $600 Billion Wake Up Call

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Breaking Down Agentic AI Fragmentation and Complexity with Governance

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud Spend Is Rising and Cloud Optimization Is Key to Funding AI and Protecting Margins

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

Building AI Agents That Build Trust

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

Keys to Building a Partner Ecosystem That Scales

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

How AI Agents Are Reshaping DataOps for the Always-On Enterprise

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

AI Deepfakes: Rethinking Trust in the Workplace

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Nine in Ten Enterprises Plan Cloud Data Repatriation amid Rising Cloud Costs and Data Sovereignty Mandates

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Why ITOps Need Right-Sized AI, Not Bigger Models

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...