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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 of senior IT decision-makers, commissioned by Cloudian and conducted by Centiment, 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, driven by tightening sovereignty requirements, cloud economics that have turned punishing at scale, and AI workloads that are exposing the limits of what cloud can cost-effectively deliver.

Notably, 76% of survey respondents already have more than half their workloads in public cloud today — making the repatriation signals all the more telling.

"This isn't a story about enterprises souring on cloud," said Jon Toor, CMO of Cloudian. "It's about organizations getting smarter about workload placement. The data makes clear that for sovereignty-sensitive, AI-intensive, and large-scale storage workloads, on-premises is often the better answer."

Sovereignty Has Become Non-Negotiable

Data sovereignty produced the survey's most striking consensus. 99% of respondents said it is at least a moderate factor in infrastructure decisions, with 82% calling it a primary or significant driver. More than half (59%) cited concerns about cloud providers accessing their data for analytics or model training, and 53% are operating under customer or partner contracts that restrict where data can reside.

Regulatory pressure is compounding the issue: 45% have experienced new cross-border data restrictions in the past two years — a reflection of accelerating data localization laws across the EU, Asia-Pacific, and elsewhere.

"The compliance landscape has gotten materially more complex, and it's moved faster than most cloud providers' infrastructure footprints," said Toor. "When your data residency requirements don't map cleanly to available cloud regions, on-premises stops being a legacy option and starts being the only viable one."
Cloud Economics Aren't What They Used to Be

The cost picture is stark — and nearly universal. 84% of respondents are running over their cloud storage budgets, with nearly one in five exceeding them by more than 30%. Just 0.5% report being under budget. The leading culprits: data egress fees (46%), costs that escalate with data volume (45%), and premium pricing for residency-compliant regions (43%).

"The math that made cloud compelling for early-stage or variable workloads doesn't hold when you're storing petabytes and accessing them regularly," Toor noted.

AI Is Accelerating the Timeline

If sovereignty and cost are the structural drivers, AI is what's making cloud data repatriation urgent. 85% of respondents said AI requirements are influencing their shift toward on-premises infrastructure. More than half (55%) said cloud cannot consistently meet AI inference latency requirements, and 52% need to keep AI training data on-premises for security or compliance reasons.

When asked to name their top infrastructure priorities for the coming year, AI and ML infrastructure ranked first (57%) — narrowly ahead of data sovereignty and security (56%) and cost predictability (54%).

"AI is the forcing function," Toor said. "Organizations that might have tolerated suboptimal cloud economics or sovereignty workarounds for conventional workloads are finding they can't accept those same tradeoffs for AI. The latency requirements are different, the data sensitivity is higher, and the cost at scale is harder to absorb."

A Rebalancing, Not a Reversal

The survey makes clear that enterprises are not walking away from cloud. Roughly 30% are still expanding their cloud presence. The more accurate picture is simultaneous expansion and cloud data repatriation — organizations optimizing workload placement rather than choosing sides.

"Hybrid isn't a compromise anymore, it's a deliberate strategy," Toor said. "The enterprises doing this well have gotten very precise about what goes where and why. Cloud for elastic, unpredictable demand. On-premises for everything where you need predictable cost, low latency, and clear data jurisdiction."

Survey Methodology: The survey was conducted by Centiment on behalf of Cloudian and fielded in February 2026. Respondents included 212 senior IT decision-makers at organizations with significant public cloud adoption. 96% identified as primary decision-makers or key influencers on infrastructure. An embedded attention-check question was included; all 212 responses passed.

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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 ...

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

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 of senior IT decision-makers, commissioned by Cloudian and conducted by Centiment, 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, driven by tightening sovereignty requirements, cloud economics that have turned punishing at scale, and AI workloads that are exposing the limits of what cloud can cost-effectively deliver.

Notably, 76% of survey respondents already have more than half their workloads in public cloud today — making the repatriation signals all the more telling.

"This isn't a story about enterprises souring on cloud," said Jon Toor, CMO of Cloudian. "It's about organizations getting smarter about workload placement. The data makes clear that for sovereignty-sensitive, AI-intensive, and large-scale storage workloads, on-premises is often the better answer."

Sovereignty Has Become Non-Negotiable

Data sovereignty produced the survey's most striking consensus. 99% of respondents said it is at least a moderate factor in infrastructure decisions, with 82% calling it a primary or significant driver. More than half (59%) cited concerns about cloud providers accessing their data for analytics or model training, and 53% are operating under customer or partner contracts that restrict where data can reside.

Regulatory pressure is compounding the issue: 45% have experienced new cross-border data restrictions in the past two years — a reflection of accelerating data localization laws across the EU, Asia-Pacific, and elsewhere.

"The compliance landscape has gotten materially more complex, and it's moved faster than most cloud providers' infrastructure footprints," said Toor. "When your data residency requirements don't map cleanly to available cloud regions, on-premises stops being a legacy option and starts being the only viable one."
Cloud Economics Aren't What They Used to Be

The cost picture is stark — and nearly universal. 84% of respondents are running over their cloud storage budgets, with nearly one in five exceeding them by more than 30%. Just 0.5% report being under budget. The leading culprits: data egress fees (46%), costs that escalate with data volume (45%), and premium pricing for residency-compliant regions (43%).

"The math that made cloud compelling for early-stage or variable workloads doesn't hold when you're storing petabytes and accessing them regularly," Toor noted.

AI Is Accelerating the Timeline

If sovereignty and cost are the structural drivers, AI is what's making cloud data repatriation urgent. 85% of respondents said AI requirements are influencing their shift toward on-premises infrastructure. More than half (55%) said cloud cannot consistently meet AI inference latency requirements, and 52% need to keep AI training data on-premises for security or compliance reasons.

When asked to name their top infrastructure priorities for the coming year, AI and ML infrastructure ranked first (57%) — narrowly ahead of data sovereignty and security (56%) and cost predictability (54%).

"AI is the forcing function," Toor said. "Organizations that might have tolerated suboptimal cloud economics or sovereignty workarounds for conventional workloads are finding they can't accept those same tradeoffs for AI. The latency requirements are different, the data sensitivity is higher, and the cost at scale is harder to absorb."

A Rebalancing, Not a Reversal

The survey makes clear that enterprises are not walking away from cloud. Roughly 30% are still expanding their cloud presence. The more accurate picture is simultaneous expansion and cloud data repatriation — organizations optimizing workload placement rather than choosing sides.

"Hybrid isn't a compromise anymore, it's a deliberate strategy," Toor said. "The enterprises doing this well have gotten very precise about what goes where and why. Cloud for elastic, unpredictable demand. On-premises for everything where you need predictable cost, low latency, and clear data jurisdiction."

Survey Methodology: The survey was conducted by Centiment on behalf of Cloudian and fielded in February 2026. Respondents included 212 senior IT decision-makers at organizations with significant public cloud adoption. 96% identified as primary decision-makers or key influencers on infrastructure. An embedded attention-check question was included; all 212 responses passed.

Hot Topics

The Latest

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 ...

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...