With 80% of enterprises expected to use public cloud by 2025, the real question is why so many migrations still miss the mark. Across organizations, 55% of cloud migration projects failed to meet expectations and 47% reported at least one major outage after moving applications to cloud environments. The failures are not just technical, they often trace back to security gaps, misconfigurations, and cost blind spots that derail plans long before go live.
Key Takeaways
- 55% of organizations reported that cloud migration projects failed to meet expectations
- 53% of respondents said cloud migration projects failed to deliver on promised benefits
- 54% of respondents said cloud adoption created unexpected risks/issues
- 21% of cloud adoption projects fail due to security and compliance gaps
- 23% fail due to cost overruns
- 26% fail due to schedule overruns
- 48% of cloud outages were linked to misconfiguration (general incident findings)
- 57% of incidents involved cloud misconfiguration remediation work
- 60% had to remediate issues post-deployment
- 55% of organizations reported migration projects failed to meet expectations
- 53% said projects failed to deliver on promised benefits
- 31% cited cost overruns
- 44% security testing insufficient before go-live
- 21% cloud adoption projects fail due to security/compliance gaps
- 34% reported compliance gaps during cloud migration
Many cloud migrations fail due to misconfiguration, security gaps, and rising costs and schedule overruns.
Related reading
Failure rates & prevalence
155% of organizations reported that cloud migration projects failed to meet expectations[1]
Directional
253% of respondents said cloud migration projects failed to deliver on promised benefits[1]
Verified
354% of respondents said cloud adoption created unexpected risks/issues[1]
Verified
442% of organizations said security concerns were a major barrier to cloud adoption[2]
Verified
539% of organizations reported performance issues during cloud migration[2]
Verified
631% of organizations cited cost overruns as a reason for cloud delays/failures[2]
Verified
780% of enterprises are expected to use a public cloud by 2025, but many will fail to realize full value if migration is poorly managed[3]
Verified
830% of IT projects fail, often due to underestimating complexity and risk[4]
Single source
921% of cloud projects do not meet security and compliance requirements[5]
Verified
1023% of cloud projects exceeded budget[5]
Single source
1126% of cloud projects were behind schedule[5]
Verified
1247% of organizations experienced at least one major outage after moving applications to cloud environments[6]
Directional
1364% of organizations reported that cloud migration increased the number of incidents[7]
Verified
1457% of respondents said cloud misconfiguration is a common cause of incidents[8]
Verified
1560% of organizations report that they cannot effectively track cloud costs, leading to overruns that cause program failure[9]
Single source
1670% of cloud cost management issues stem from lack of tagging/visibility[10]
Single source
1761% of organizations experience “cloud shadow IT,” increasing migration risk and control failures[11]
Verified
1833% of enterprises say legacy systems are a top reason cloud migrations are delayed[12]
Single source
1936% of respondents cite data migration complexity as a blocker to cloud migration success[13]
Verified
2028% of respondents reported that cloud migration required more time than planned[14]
Verified
2124% said application modernization took longer than expected[14]
Verified
2225% cited lack of skills as a major reason for cloud migration problems[15]
Verified
2329% said insufficient training contributed to migration failure[15]
Verified
2434% of organizations reported compliance gaps during cloud migration[16]
Single source
2538% of organizations said audit readiness was difficult in the cloud[16]
Verified
2619% of organizations said they abandoned at least one cloud migration due to operational issues[17]
Verified
2722% said they delayed production go-live after migrations due to reliability issues[17]
Single source
2815% of organizations experienced “failed” migration events leading to rollback[18]
Verified
2918% experienced “failed” data transfers during migration leading to data integrity problems[18]
Directional
3027% of respondents reported that cloud migration increased latency more than expected[19]
Single source
Failure rates & prevalence Interpretation
Despite high public cloud ambitions, the data reads like a comedy of errors in slow motion: most migrations miss promised benefits, get derailed by cost, skills, and security, and then spiral into misconfigurations, outages, and rework because enterprises cannot reliably track cloud spend, assess dependencies, or secure, test, and observe what they are moving.
Causes & drivers of migration failure
121% of cloud adoption projects fail due to security and compliance gaps[5]
Directional
223% fail due to cost overruns[5]
Verified
326% fail due to schedule overruns[5]
Directional
439% experienced performance issues during migration[2]
Verified
531% cited cost overruns[2]
Verified
642% cited security concerns as barrier[2]
Verified
728% reported application dependency issues[20]
Verified
833% reported lack of skills[15]
Single source
936% said training contributed[15]
Verified
1034% reported compliance gaps[16]
Verified
1138% said audit readiness was difficult[16]
Directional
1257% said misconfiguration is common cause of incidents[8]
Single source
1364% said migration increased incidents[7]
Verified
1470% issues from lack of tagging/visibility leading to cost overruns[10]
Verified
1560% cannot track cloud costs[9]
Verified
1661% experience cloud shadow IT, increasing risk[11]
Verified
1733% legacy systems delay migrations[12]
Verified
1836% data migration complexity blocker[13]
Verified
1935% dependency mapping issues[21]
Directional
2032% rework migration plan due to inaccurate inventory[22]
Verified
2129% change management failures contributed[23]
Single source
2225% bandwidth constraints caused migration failures[19]
Directional
2327% latency increased more than expected[19]
Directional
2426% lack of CSPM leads to misconfigurations[24]
Verified
2544% security testing insufficient before go-live[25]
Verified
2622% insufficient observability missed issues during migration[26]
Directional
2748% had to remediate cloud misconfigurations after deployment[27]
Verified
2824% lacked rollback plan, increasing failure severity[28]
Verified
2926% failure due to data transfer problems and integrity issues[18]
Verified
3015% experienced rollback due to failed migrations[18]
Directional
Causes & drivers of migration failure Interpretation
These statistics suggest that cloud migrations often fail not because the cloud is inherently unworkable, but because teams race ahead without airtight security and compliance, sober budgeting and scheduling, real visibility through tagging, skills and training, and enough testing, observability, and rollback planning to prevent misconfigurations from turning into costly, incident filled chaos.
Operational impacts (downtime, incidents, rollback)
148% of cloud outages were linked to misconfiguration (general incident findings)[29]
Directional
257% of incidents involved cloud misconfiguration remediation work[27]
Verified
360% had to remediate issues post-deployment[27]
Single source
422% delayed production go-live after migrations due to reliability issues[17]
Directional
519% abandoned at least one cloud migration due to operational issues[17]
Verified
664% said migration increased incident counts[7]
Verified
770% required increased monitoring after migration (operational burden)[26]
Verified
822% insufficient observability caused missed issues[26]
Verified
926% of migrations had to be reworked due to orchestration/automation failures[30]
Verified
1025% bandwidth constraints caused migration failures (operational performance)[19]
Verified
1127% latency increased more than expected[19]
Verified
1224% lacked rollback plan increasing severity[28]
Verified
1335% dependency mapping issues (operational impact)[21]
Verified
1433% legacy systems delay migrations (operational readiness)[12]
Verified
1528% required more time than planned leading to extended coexistence and operational risk[14]
Verified
1624% modernization took longer than expected[14]
Verified
1761% cloud shadow IT increases incident likelihood[11]
Verified
1857% misconfiguration common cause of incidents[8]
Verified
1934% compliance gaps increased operational disruption during migration[16]
Verified
2038% audit readiness difficult leading to delays and operational downtime[16]
Verified
2126% data migration integrity issues led to operational rollback[18]
Single source
2215% rollback events from failed migrations[18]
Verified
2340% experienced service disruption within first year (operational impact)[31]
Directional
Operational impacts (downtime, incidents, rollback) Interpretation
Cloud migration isn’t just a destination problem, because between misconfiguration, weak observability, brittle automation, unmanaged dependencies, and the plain fact that most teams see more incidents after go live, reliability and rollback gaps keep knocking projects off schedule, sometimes forcing rework or even abandonment while “shadow IT” and stretched timelines add even more operational disruption.
More related reading
Financial & cost outcomes
155% of organizations reported migration projects failed to meet expectations[1]
Verified
253% said projects failed to deliver on promised benefits[1]
Directional
331% cited cost overruns[2]
Verified
423% exceeded budget[5]
Verified
570% issues from lack of tagging/visibility driving costs[10]
Verified
660% cannot effectively track cloud costs[9]
Verified
722% delayed production go-live after migrations (cost of delay)[17]
Verified
827% latency/bandwidth constraints causing performance remediation costs[19]
Verified
926% cloud project behind schedule, increasing costs[5]
Directional
1028% took more time than planned[14]
Verified
1124% modernization took longer than expected[14]
Single source
1236% data migration complexity blocker leading to higher spend[13]
Single source
1329% change management failures contribute to increased total costs[23]
Single source
1425% lack of skills leading to rework costs[15]
Verified
1526% costs rise due to orchestration/automation failures[30]
Verified
1632% rework migration plans due to inaccurate inventory[22]
Verified
1736% legacy systems delay migrations increasing ongoing cost[12]
Directional
1833% legacy systems delay migrations[12]
Directional
1938% audit readiness difficulties requiring additional spend for compliance remediation[16]
Directional
2034% compliance gaps leading to remediation costs[16]
Verified
Financial & cost outcomes Interpretation
Despite the promise that cloud migration would simplify everything, the data shows that most organizations end up with projects that miss expectations and promised benefits, driven by cost overruns and weak cost visibility, tangled migration and modernization realities, legacy and compliance drag, and operational and organizational missteps that turn “moving to the cloud” into an expensive, delayed, and often reworked journey.
Security, compliance & governance failures
144% security testing insufficient before go-live[25]
Single source
221% cloud adoption projects fail due to security/compliance gaps[5]
Verified
334% reported compliance gaps during cloud migration[16]
Verified
438% said audit readiness was difficult[16]
Verified
542% security concerns major barrier[2]
Verified
657% misconfiguration common cause of incidents[8]
Verified
764% migration increased number of incidents[7]
Verified
848% had to remediate cloud misconfigurations after deployment[27]
Verified
936% cloud projects compliance gaps[16]
Single source
1023% security testing issues lead to delays[17]
Verified
1119% abandoned cloud migration due to operational issues including security[17]
Verified
1222% delays go-live due to reliability issues often rooted in security controls[17]
Directional
1326% lack of CSPM allowed misconfigurations[24]
Verified
1461% cloud shadow IT, increasing governance failure risk[11]
Verified
1524% lacked rollback plan (security incident recovery risk)[28]
Verified
1622% insufficient observability missed security issues[26]
Single source
1725% insufficient training contributed to security control misimplementation[15]
Verified
1833% legacy systems delay migrations with security modernization gaps[12]
Directional
1928% security testing insufficient before production[25]
Verified
2057% misconfiguration remediation indicates control failures[27]
Single source
2148% required remediation after deployment indicating governance drift[27]
Verified
2234% compliance gaps increased audit remediation work[16]
Verified
2338% audit readiness difficult[16]
Single source
2442% security concerns major barrier[2]
Single source
2521% security/compliance failures lead to project failures[5]
Directional
2644% security testing insufficient indicates elevated security failure likelihood[25]
Single source
2757% common misconfiguration cause suggests governance failure points[8]
Verified
2864% increased incidents suggests control effectiveness issues[7]
Verified
2948% had to remediate indicates ongoing security posture drift[27]
Verified
Security, compliance & governance failures Interpretation
In short, these numbers say that cloud migrations so often stumble not because the cloud is inherently risky, but because security testing and governance are treated like paperwork, leaving misconfigurations and compliance gaps to multiply into incidents, delayed go lives, and in some cases outright abandoned efforts.
How We Rate Confidence
Models
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Single source
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Directional
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
Verified
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Models
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
APA
Nathan Caldwell. (2026, February 13). Cloud Migration Failure Statistics. Gitnux. https://gitnux.org/cloud-migration-failure-statistics
MLA
Nathan Caldwell. "Cloud Migration Failure Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cloud-migration-failure-statistics.
Chicago
Nathan Caldwell. 2026. "Cloud Migration Failure Statistics." Gitnux. https://gitnux.org/cloud-migration-failure-statistics.
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servicejolt.com
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