Skip to main content

Private Cloud Outlook 2025: A Definitive Cloud Reset

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom.

More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so.

Private cloud is also now a strategic equal for AI and cloud-native apps, with 66% preferring to run container and Kubernetes-based applications on private cloud or a mix of public and private, while 55% prefer private cloud for AI model training, tuning and inference.

"This report makes it clear: private cloud is a strategic platform for IT modernization," said Prashanth Shenoy, VP of Product Marketing, VMware Cloud Foundation Division (VCF) at Broadcom. "Customers are intentionally architecting for flexibility, placing workloads in environments that offer the best balance of performance, control, and cost efficiency. The cloud reset presents an opportunity to create a more effective, secure and cost-efficient IT environment. Organizations that strategically adopt a modern private cloud can better support secure GenAI innovation, improve fiscal visibility, and accelerate workload repatriation."

Security, GenAI, and Cost Predictability Accelerate the Shift to Private Cloud

As IT leaders modernize their infrastructure, they are increasingly turning to private cloud to meet a range of critical needs, from securing sensitive data to managing unpredictable GenAI workloads to improving financial visibility.

  • 92% trust private cloud for security and compliance needs.
  • 66% are "very" or "extremely" concerned about public cloud compliance, and security is cited as the leading driver for workload repatriation from public cloud.
  • Data privacy and security concerns (49%) top the list of GenAI adoption challenges.
  • Organizations are choosing private cloud environments for AI workloads at nearly the same rate as public cloud (55% vs. 56%).
  • 90% value private cloud’s financial visibility and predictability.
  • 94% report at least some level of waste on public cloud spend.
  • 49% believe more than 25% of their public cloud spend is wasted, creating significant optimization opportunities.

Accelerating the Private Cloud Momentum

Real-world public cloud experiences, the rapid rise of GenAI workloads, and increasing demands for security, compliance, and cost predictability are driving this strategic cloud realignment. To fully capitalize on private cloud advantages, organizations must address two key challenges: overcoming siloed IT teams and a perpetuating skills gap.

Respondents identified siloed IT teams present the greatest challenge to private cloud adoption (33%), and 30% cite a lack of in-house skills/expertise as a barrier to private cloud adoption. Organizations that transition from technology silos to platform teams can focus on upskilling staff to permanently close the skills gap and reduce reliance on professional services. The report found that 81% are now structuring their technical organizations around a platform team rather than technology silos.

Methodology: The report is based on a global survey conducted by market research firm Illuminas on behalf of Broadcom. The survey was fielded from March 6 to April 4, 2025, and included 1,800 senior IT decision-makers across small, medium-sized, and large enterprises in North America, Europe, and Asia Pacific. Respondents represented sectors such as financial services, government, healthcare, insurance, and pharmaceuticals.

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...

Private Cloud Outlook 2025: A Definitive Cloud Reset

Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom.

More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so.

Private cloud is also now a strategic equal for AI and cloud-native apps, with 66% preferring to run container and Kubernetes-based applications on private cloud or a mix of public and private, while 55% prefer private cloud for AI model training, tuning and inference.

"This report makes it clear: private cloud is a strategic platform for IT modernization," said Prashanth Shenoy, VP of Product Marketing, VMware Cloud Foundation Division (VCF) at Broadcom. "Customers are intentionally architecting for flexibility, placing workloads in environments that offer the best balance of performance, control, and cost efficiency. The cloud reset presents an opportunity to create a more effective, secure and cost-efficient IT environment. Organizations that strategically adopt a modern private cloud can better support secure GenAI innovation, improve fiscal visibility, and accelerate workload repatriation."

Security, GenAI, and Cost Predictability Accelerate the Shift to Private Cloud

As IT leaders modernize their infrastructure, they are increasingly turning to private cloud to meet a range of critical needs, from securing sensitive data to managing unpredictable GenAI workloads to improving financial visibility.

  • 92% trust private cloud for security and compliance needs.
  • 66% are "very" or "extremely" concerned about public cloud compliance, and security is cited as the leading driver for workload repatriation from public cloud.
  • Data privacy and security concerns (49%) top the list of GenAI adoption challenges.
  • Organizations are choosing private cloud environments for AI workloads at nearly the same rate as public cloud (55% vs. 56%).
  • 90% value private cloud’s financial visibility and predictability.
  • 94% report at least some level of waste on public cloud spend.
  • 49% believe more than 25% of their public cloud spend is wasted, creating significant optimization opportunities.

Accelerating the Private Cloud Momentum

Real-world public cloud experiences, the rapid rise of GenAI workloads, and increasing demands for security, compliance, and cost predictability are driving this strategic cloud realignment. To fully capitalize on private cloud advantages, organizations must address two key challenges: overcoming siloed IT teams and a perpetuating skills gap.

Respondents identified siloed IT teams present the greatest challenge to private cloud adoption (33%), and 30% cite a lack of in-house skills/expertise as a barrier to private cloud adoption. Organizations that transition from technology silos to platform teams can focus on upskilling staff to permanently close the skills gap and reduce reliance on professional services. The report found that 81% are now structuring their technical organizations around a platform team rather than technology silos.

Methodology: The report is based on a global survey conducted by market research firm Illuminas on behalf of Broadcom. The survey was fielded from March 6 to April 4, 2025, and included 1,800 senior IT decision-makers across small, medium-sized, and large enterprises in North America, Europe, and Asia Pacific. Respondents represented sectors such as financial services, government, healthcare, insurance, and pharmaceuticals.

The Latest

UK IT leaders are reaching a critical inflection point in how they manage observability, according to research from LogicMonitor. As infrastructure complexity grows and AI adoption accelerates, fragmented monitoring environments are driving organizations to rethink their operational strategies and consolidate tools ...

For years, many infrastructure teams treated the edge as a deployment variation. It was seen as the same cloud model, only stretched outward: more devices, more gateways, more locations and a little more latency. That assumption is proving costly. The edge is not just another place to run workloads. It is a fundamentally different operating condition ...

AI can't fix broken data. CIOs who modernize revenue data governance unlock predictable growth-those who don't risk millions in failed AI investments. For decades, CIOs kept the lights on. Revenue was someone else's problem, owned by sales, led by the CRO, measured by finance. Those days are behind us ...

Over the past few years, organizations have made enormous strides in enabling remote and hybrid work. But the foundational technologies powering today's digital workplace were never designed for the volume, velocity, and complexity that is coming next. By 2026 and beyond, three forces — 5G, the metaverse, and edge AI — will fundamentally reshape how people connect, collaborate, and access enterprise resources ... The businesses that begin preparing now will gain a competitive head start. Those that wait will find themselves trying to secure environments that have already outgrown their architecture ...

Ask where enterprise AI is making its most decisive impact, and the answer might surprise you: not marketing, not finance, not customer experience. It's IT. Across three years of industry research conducted by Digitate, one constant holds true is that IT is both the testing ground and the proving ground for enterprise AI. Last year, that position only strengthened ...

A payment gateway fails at 2 AM. Thousands of transactions hang in limbo. Post-mortems reveal failures cascading across dozens of services, each technically sound in isolation. The diagnosis takes hours. The fix requires coordinated deployments across teams ...

Every enterprise technology conversation right now circles back to AI agents. And for once, the excitement isn't running too far ahead of reality. According to a Zapier survey of over 500 enterprise leaders, 72% of enterprises are already using or testing AI agents, and 84% plan to increase their investment over the next 12 months. Those numbers are big. But they also raise a question that doesn't get asked enough: what exactly are companies doing with these agents, and are they actually getting value from them? ...

Many organizations still rely on reactive availability models, taking action only after an outage occurs. However, as applications become more complex, this approach often leads to delayed detection, prolonged disruption, and incomplete recovery. Monitoring is evolving from a basic operational function into a foundational capability for sustaining availability in modern environments ...

In MEAN TIME TO INSIGHT Episode 22, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses DNS Security ... 

The financial stakes of extended service disruption has made operational resilience a top priority, according to 2026 State of AI-First Operations Report, a report from PagerDuty. According to survey findings, 95% of respondents believe their leadership understands the competitive advantage that can be gained from reducing incidents and speeding recovery ...