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2025 Cloud and FinOps Predictions - Part 1

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.
 

CLOUD: ESSENTIAL INFRASTRUCTURE

In 2025, the cloud will evolve into a core platform prioritizing simplicity, security, and compliance. By integrating AI-driven insights and automation, cloud environments will empower diverse teams — not just developers — to drive efficient, secure, and compliant workflows. This growth will solidify the cloud as essential infrastructure, supporting seamless digital operations and driving strategic business growth. 
Gab Menachem
VP ITOM, ServiceNow

AI DRIVES CLOUD UTILIZATION

AI will significantly increase cloud utilization in 2025. The latest advancements in AI hardware, which come at a premium, require the use of hundreds of GPUs for model training. In addition, the demand for these GPUs has led them to be sold out for the next 12 months. If organizations are looking to train their own model or operationalize it with inference, there may be no other choice than to purchase it as a service from a cloud provider. As an alternative, they can utilize existing models and managed services from the cloud providers to make the deployment and management of a model simpler. Regardless of the method, AI is cost prohibitive as a DIY venture. The power of the cloud will enable customers to use the AI services and tools at the scale and flexibility that they need. Purchasing it as a service allows more organizations to access the technology and innovate, benefiting us all.
Jason Bright
Product Marketing Manager at Hyland

AI-DRIVEN AUTOMATION

AI in the cloud moves from simply "spotting things" to actually "doing things." Beyond data crunching and spitting out insights, AI-driven automation that turns insights into actions, automatically optimizes cloud performance and spend, and reduces the insight to action gap becomes the new table stakes by the end of 2025. Agentic AI gains rapid adoption and is integrated into workflows to accelerate AI impact such that the industry begins seeing "near-realtime FinOps" for the first time. And AI begins playing a bigger role in spotting anomalies and making decisions at moments of truth at the edge as organizations continue finding ways to shift left.
Kyle Campos
Chief Technology & Product Officer at CloudBolt

HYBRID CLOUD

In 2025, we will see an even greater push toward diversified IT infrastructure. It's no longer about being all on-prem, all-cloud, or all-SaaS — companies are finding a need to balance across these platforms to drive efficiency and better manage costs. We've had enough time with these technologies to know what works where, and we're getting smarter about budgeting for them.
Chrystal Taylor
Evangelist, SolarWinds

AI DRIVES HYBRID CLOUD

Thanks to AI, Hybrid Cloud is Here to Stay: Only about two years ago, it was a very cloud-only environment with some companies ready to get rid of their data centers altogether. The reality is, many businesses still have over half their data living outside of the cloud, and it will likely stay there based on what makes the most sense for their use case (in high stakes environments such as healthcare, for example). Therefore, hybrid cloud strategies are alive and well, especially with the proliferation of AI. Organizations can maintain on-premises GPU infrastructure for consistent, high-priority workloads while using cloud GPUs for burst capacity. This avoids complete lock-in to cloud providers' premium GPU pricing and grants better control over total cost of ownership for expensive AI infrastructure.
Haseeb Budhani
Co-Founder and CEO, Rafay

MULTI-CLOUD

In 2025, enterprises that initially made big bets on a single cloud hyperscaler will begin to diversify by introducing secondary providers, adding competition, and unlocking capabilities their primary provider may not offer. While the major cloud players still dominate enterprise spend, there will be a noticeable shift toward multi-cloud strategies as businesses seek to complement their existing investments.
Steve Ellis
Division President, Cloud Business Unit, Amdocs

AI DRIVES MULTI-CLOUD

I expect, due to AI-focused development, we'll see engineering and IT teams increasingly using more than one public cloud solution (AWS, Azure, etc.). By adopting this type of multi-cloud approach as part of a DevOps strategy, you can train your distributed AI workloads and models across multiple environments. For instance, there could be a benefit to using Azure's computing power to train one AI model and AWS for another. Or you could keep your legacy cloud workloads on one public cloud and then your AI workloads on a separate public cloud. This approach enables development teams to tailor their cloud environment to the needs of each AI application.
Faiz Khan
CEO of Wanclouds

MULTI-CLOUD CHAOS

The Forecast Calls for Multi-cloud Chaos: By 2025, multi-cloud environments will become the "new normal," but with a twist — organizations will be navigating clouds with as much finesse as a game of Twister. A recent Gartner report found that by 2024, over 75% of midsize and large organizations will have adopted a multicloud or hybrid IT strategy, but managing these clouds will resemble herding digital cats.
Ravi Ithal
GVP and CTO, Proofpoint DSPM

ALTERNATIVE CLOUD PROVIDERS

AI - The Catalyst For The Alt-cloud: AI will become smarter and more dependable in the next year, but businesses will require agile, scalable, open, composable ecosystems to unlock its full potential – something Big Tech's cloud titans aren't capable of delivering. Enterprises will increasingly look to alternative cloud providers to supply the kind of infrastructure that supports the rapid deployment of new AI models without skyrocketing overheads. These open ecosystems will supplant the monolithic, rigid, and costly single-vendor paradigm that has disproportionately favored enterprises operating closer to the traditional tech heartlands, leveling the playing field for AI innovation across all regions of the world.
JJ Kardwell
CEO, Vultr

DISTRIBUTED CLOUD

Enterprises Rethink Cloud Choices Amid New Regulations: 
As businesses seek greater flexibility and control, 2025 will see a shift away from legacy cloud providers toward more adaptable, distributed cloud solutions. Cloud concentration risk, privacy laws and data management regulations will be the primary drivers. Distributed cloud will enable companies to move compute and data closer to users and improve performance while staying responsive to compliance needs as regulations evolve. The focus will be on finding cloud solutions that balance innovation with agility.
Ari Weil
VP of Product Marketing, Akamai

Go to: 2025 Cloud and FinOps Predictions - Part 2

Hot Topics

The Latest

Gartner highlighted the six trends that will have a significant impact on infrastructure and operations (I&O) for 2025 ...

Since IT costs can consume a significant share of revenue ... enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars ...

Being able to access the full potential of artificial intelligence (AI) and advanced analytics has become a critical differentiator for businesses. These technologies allow for more informed decision-making, boost operational efficiency, enhance security, and reveal valuable insights hidden within massive data sets. Yet, for organizations to truly harness AI's capabilities, they must first tap into an often-overlooked asset: their mainframe data ...

The global IT skills shortage will persist, and perhaps worsen, over the next few years, carrying a collective price tag of more than $5 trillion. Organizations must search for ways to streamline their IT service management (ITSM) workflows in addition to, or even apart from, hiring more staff. Those who don't find alternative methods of ITSM efficiency will be left behind by their competitors ...

Embedding greater levels of deep learning into enterprise systems demands these deep-learning solutions to be "explainable," conveying to business users why it predicted what it predicted. This "explainability" needs to be communicated in an easy-to-understand and transparent manner to gain the comfort and confidence of users, building trust in the teams using these solutions and driving the adoption of a more responsible approach to development ...

Modern people can't spend a day without smartphones, and businesses have understood this very well! Mobile apps have become an effective channel for reaching customers. However, their distributed nature and delivery networks may cause performance problems ... Performance engineering can be a solution.

Image
Cigniti

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 3 covers FinOps ...

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 2 covers repatriation and more ...

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025 ...

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...

2025 Cloud and FinOps Predictions - Part 1

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.
 

CLOUD: ESSENTIAL INFRASTRUCTURE

In 2025, the cloud will evolve into a core platform prioritizing simplicity, security, and compliance. By integrating AI-driven insights and automation, cloud environments will empower diverse teams — not just developers — to drive efficient, secure, and compliant workflows. This growth will solidify the cloud as essential infrastructure, supporting seamless digital operations and driving strategic business growth. 
Gab Menachem
VP ITOM, ServiceNow

AI DRIVES CLOUD UTILIZATION

AI will significantly increase cloud utilization in 2025. The latest advancements in AI hardware, which come at a premium, require the use of hundreds of GPUs for model training. In addition, the demand for these GPUs has led them to be sold out for the next 12 months. If organizations are looking to train their own model or operationalize it with inference, there may be no other choice than to purchase it as a service from a cloud provider. As an alternative, they can utilize existing models and managed services from the cloud providers to make the deployment and management of a model simpler. Regardless of the method, AI is cost prohibitive as a DIY venture. The power of the cloud will enable customers to use the AI services and tools at the scale and flexibility that they need. Purchasing it as a service allows more organizations to access the technology and innovate, benefiting us all.
Jason Bright
Product Marketing Manager at Hyland

AI-DRIVEN AUTOMATION

AI in the cloud moves from simply "spotting things" to actually "doing things." Beyond data crunching and spitting out insights, AI-driven automation that turns insights into actions, automatically optimizes cloud performance and spend, and reduces the insight to action gap becomes the new table stakes by the end of 2025. Agentic AI gains rapid adoption and is integrated into workflows to accelerate AI impact such that the industry begins seeing "near-realtime FinOps" for the first time. And AI begins playing a bigger role in spotting anomalies and making decisions at moments of truth at the edge as organizations continue finding ways to shift left.
Kyle Campos
Chief Technology & Product Officer at CloudBolt

HYBRID CLOUD

In 2025, we will see an even greater push toward diversified IT infrastructure. It's no longer about being all on-prem, all-cloud, or all-SaaS — companies are finding a need to balance across these platforms to drive efficiency and better manage costs. We've had enough time with these technologies to know what works where, and we're getting smarter about budgeting for them.
Chrystal Taylor
Evangelist, SolarWinds

AI DRIVES HYBRID CLOUD

Thanks to AI, Hybrid Cloud is Here to Stay: Only about two years ago, it was a very cloud-only environment with some companies ready to get rid of their data centers altogether. The reality is, many businesses still have over half their data living outside of the cloud, and it will likely stay there based on what makes the most sense for their use case (in high stakes environments such as healthcare, for example). Therefore, hybrid cloud strategies are alive and well, especially with the proliferation of AI. Organizations can maintain on-premises GPU infrastructure for consistent, high-priority workloads while using cloud GPUs for burst capacity. This avoids complete lock-in to cloud providers' premium GPU pricing and grants better control over total cost of ownership for expensive AI infrastructure.
Haseeb Budhani
Co-Founder and CEO, Rafay

MULTI-CLOUD

In 2025, enterprises that initially made big bets on a single cloud hyperscaler will begin to diversify by introducing secondary providers, adding competition, and unlocking capabilities their primary provider may not offer. While the major cloud players still dominate enterprise spend, there will be a noticeable shift toward multi-cloud strategies as businesses seek to complement their existing investments.
Steve Ellis
Division President, Cloud Business Unit, Amdocs

AI DRIVES MULTI-CLOUD

I expect, due to AI-focused development, we'll see engineering and IT teams increasingly using more than one public cloud solution (AWS, Azure, etc.). By adopting this type of multi-cloud approach as part of a DevOps strategy, you can train your distributed AI workloads and models across multiple environments. For instance, there could be a benefit to using Azure's computing power to train one AI model and AWS for another. Or you could keep your legacy cloud workloads on one public cloud and then your AI workloads on a separate public cloud. This approach enables development teams to tailor their cloud environment to the needs of each AI application.
Faiz Khan
CEO of Wanclouds

MULTI-CLOUD CHAOS

The Forecast Calls for Multi-cloud Chaos: By 2025, multi-cloud environments will become the "new normal," but with a twist — organizations will be navigating clouds with as much finesse as a game of Twister. A recent Gartner report found that by 2024, over 75% of midsize and large organizations will have adopted a multicloud or hybrid IT strategy, but managing these clouds will resemble herding digital cats.
Ravi Ithal
GVP and CTO, Proofpoint DSPM

ALTERNATIVE CLOUD PROVIDERS

AI - The Catalyst For The Alt-cloud: AI will become smarter and more dependable in the next year, but businesses will require agile, scalable, open, composable ecosystems to unlock its full potential – something Big Tech's cloud titans aren't capable of delivering. Enterprises will increasingly look to alternative cloud providers to supply the kind of infrastructure that supports the rapid deployment of new AI models without skyrocketing overheads. These open ecosystems will supplant the monolithic, rigid, and costly single-vendor paradigm that has disproportionately favored enterprises operating closer to the traditional tech heartlands, leveling the playing field for AI innovation across all regions of the world.
JJ Kardwell
CEO, Vultr

DISTRIBUTED CLOUD

Enterprises Rethink Cloud Choices Amid New Regulations: 
As businesses seek greater flexibility and control, 2025 will see a shift away from legacy cloud providers toward more adaptable, distributed cloud solutions. Cloud concentration risk, privacy laws and data management regulations will be the primary drivers. Distributed cloud will enable companies to move compute and data closer to users and improve performance while staying responsive to compliance needs as regulations evolve. The focus will be on finding cloud solutions that balance innovation with agility.
Ari Weil
VP of Product Marketing, Akamai

Go to: 2025 Cloud and FinOps Predictions - Part 2

Hot Topics

The Latest

Gartner highlighted the six trends that will have a significant impact on infrastructure and operations (I&O) for 2025 ...

Since IT costs can consume a significant share of revenue ... enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars ...

Being able to access the full potential of artificial intelligence (AI) and advanced analytics has become a critical differentiator for businesses. These technologies allow for more informed decision-making, boost operational efficiency, enhance security, and reveal valuable insights hidden within massive data sets. Yet, for organizations to truly harness AI's capabilities, they must first tap into an often-overlooked asset: their mainframe data ...

The global IT skills shortage will persist, and perhaps worsen, over the next few years, carrying a collective price tag of more than $5 trillion. Organizations must search for ways to streamline their IT service management (ITSM) workflows in addition to, or even apart from, hiring more staff. Those who don't find alternative methods of ITSM efficiency will be left behind by their competitors ...

Embedding greater levels of deep learning into enterprise systems demands these deep-learning solutions to be "explainable," conveying to business users why it predicted what it predicted. This "explainability" needs to be communicated in an easy-to-understand and transparent manner to gain the comfort and confidence of users, building trust in the teams using these solutions and driving the adoption of a more responsible approach to development ...

Modern people can't spend a day without smartphones, and businesses have understood this very well! Mobile apps have become an effective channel for reaching customers. However, their distributed nature and delivery networks may cause performance problems ... Performance engineering can be a solution.

Image
Cigniti

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 3 covers FinOps ...

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025. Part 2 covers repatriation and more ...

Industry experts offer predictions on how Cloud, FinOps and related technologies will evolve and impact business in 2025 ...

Industry experts offer predictions on how NetOps, Network Performance Management, Network Observability and related technologies will evolve and impact business in 2025 ...