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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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

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

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...