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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallCloud adoption is not inherently disappointing, but it can fall short when organizations expect too much, implement poorly, or fail to control costs. Gartner forecast in May 2025 that 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028. That is a prediction about future risk—not a measurement of how many organizations are dissatisfied today.
What Gartner actually forecast
In a May 13, 2025 forecast, Gartner said 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028. It identified unrealistic expectations, suboptimal implementation and uncontrolled costs as possible causes. The forecast does not say cloud adoption will disappoint a quarter of organizations in every context, nor that dissatisfaction is already at that level. Gartner’s release presents it as a risk to manage, not an argument against cloud.
Gartner also forecast that more than 50% of organizations will not get the expected results from their multicloud implementations by 2029. It pointed to interoperability between environments as a challenge; it did not predict that every multicloud deployment will fail.
Why cloud strategies can miss their goals
Expectations outpace the business case
A cloud project can disappoint when its expected benefits are not tied to a clear business need or when its scope assumes that moving workloads will automatically produce the desired results. Before committing, organizations need to define what success means, which workloads are in scope, and what trade-offs they accept. The Gartner forecast names unrealistic expectations as one possible source of dissatisfaction, but does not specify a single benefit or workload that organizations should prioritize.
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Implementation quality matters
Cloud services still need to be designed, configured, integrated and operated. Gartner includes suboptimal implementation among the possible causes of dissatisfaction. That makes delivery and operational readiness part of the business case: a cloud strategy is not successful merely because workloads have been moved or services have been purchased.
Costs can outrun controls
Cost concerns have a separate supporting data point, but it measures something different from Gartner’s forecast. A Forrester Consulting study commissioned by Boomi and conducted in December 2023 found that 72% of surveyed global companies exceeded their set cloud budgets in the last fiscal year. Boomi announced the result on April 2, 2024. It applies to the study’s surveyed companies, not to all businesses, and is a study finding rather than a forecast. Boomi’s announcement also describes late cost-remediation tactics and incomplete visibility into infrastructure as problems.
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The figures should not be treated as interchangeable: Gartner forecast future dissatisfaction, while the commissioned study reported budget overruns among surveyed global companies. Together they make a practical case for setting cloud budgets, tracking usage and assigning responsibility for responding when costs diverge from plan.
Multicloud adds an interoperability challenge
Using more than one cloud provider can complicate connections between environments. Gartner’s statement, quoted by ITPro, is: “Many organizations that have adopted multi-cloud architecture find connecting to and between providers a challenge.” That is a warning about coordination, not evidence that all multicloud strategies are unsuccessful. Organizations considering multiple providers need to account for how their environments will work together, rather than treating provider count alone as a measure of resilience or value.
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Cloud planning must account for AI demand
Gartner forecast that 50% of cloud compute resources will be devoted to AI workloads by 2029, up from less than 10% at the time of the May 2025 release. Gartner advisory director Joe Rogus told ITPro: “This all points to a fivefold increase in AI-related cloud workloads by 2029.” These are projections about the share and growth of cloud compute used for AI, not a guarantee about any one organization’s demand.
ITPro’s May 15, 2025 article contains an apparent typo that places the 50% figure in 2019. Gartner’s original release gives 2029, consistent with the surrounding forecast, so 2029 is the correct year to use.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical check before expanding cloud use
Organizations can use Gartner’s risk factors and the budget study’s findings as a planning checklist, rather than as a verdict on cloud as a whole:
- Define the outcome: Set measurable expectations and a realistic scope before adopting or expanding services.
- Assess delivery readiness: Check that implementation and operations can support the planned workloads.
- Establish cost controls: Set budgets, maintain visibility into infrastructure use and decide who responds to deviations.
- Plan for interoperability: For multicloud designs, identify how systems and services will connect across providers.
- Account for AI workloads: Consider whether infrastructure planning can accommodate expected AI demand, without assuming every organization will follow the same trajectory.
These considerations can help organizations judge whether their approach matches their needs. The available forecasts and study do not establish that migration, staying on-premises or moving workloads back from cloud is universally the right answer.
Quick Recap
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Sources and scope
- Gartner, “Gartner Identifies the Top Trends Shaping the Future of Cloud,” May 13, 2025 — forecasts on dissatisfaction, multicloud results and AI workloads.
- ITPro, Ross Kelly, May 15, 2025 — reporting and quotations related to Gartner’s forecasts.
- Boomi, April 2, 2024 — announcement of a Forrester Consulting study commissioned by Boomi and conducted in December 2023.
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