Key Takeaways
- 70% of enterprises will operate on multiple clouds by 2025 (Gartner forecast)
- 60% of enterprises will operate on multiple clouds by 2023 (Gartner forecast)
- 55% of enterprises plan to adopt cloud-native application development approaches
- 1.0 ZB of data stored in the cloud worldwide (estimated in IDC’s Worldwide Cloud Computing spending analysis; see note)
- IDC forecasts worldwide public cloud end-user spending to reach $1,135.1 billion in 2026
- Gartner forecasts worldwide public cloud end-user spending to total $1 trillion by 2027
- AWS customers reported saving 30% to 70% on storage costs using AWS S3 compared with on-prem storage (AWS storage economics guidance)
- Snowflake customer results show 2.5x faster analytics performance after migrating to the cloud (Snowflake customer case study)
- Gartner estimates that cloud cost management and governance can reduce cloud spend by 10% to 30% (Gartner insights)
- 75% of workloads in production are migrated by organizations using cloud-native approaches within 12 months (DORA/Accelerate-type industry benchmark)
- DORA 2018/2023 research: high performers recover from failures 2,604x faster (Accelerate)
- SRE/Cloud performance: Google reports that 99.9% availability is achievable with SRE practices (Google SRE book excerpt/summary)
- By 2026, Gartner forecasts 75% of data and analytics workloads will be processed in the cloud
- Ninety-one percent of organizations have migrated at least one workload to the cloud (S&P Global Market Intelligence survey)
- 30% of enterprises have completed migrating customer-facing applications to cloud (Gartner survey)
Multiple cloud use is accelerating, with governance and cloud native approaches driving faster, more efficient adoption.
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01 · Category
Industry Trends10 stats
Industry Trends Interpretation
02 · Category
Market Size10 stats
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03 · Category
Cost Analysis4 stats
Cost Analysis Interpretation
04 · Category
Performance Metrics12 stats
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05 · Category
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06 · Category
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07 · Category
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08 · Category
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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.
Catherine Wu. (2026, February 13). Cloud Adoption Statistics. Gitnux. https://gitnux.org/cloud-adoption-statistics
Catherine Wu. "Cloud Adoption Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cloud-adoption-statistics.
Catherine Wu. 2026. "Cloud Adoption Statistics." Gitnux. https://gitnux.org/cloud-adoption-statistics.
Sources & references
47 datasets cited across this report · attribution is report-level
+24 additional datasets cited (not shown individually)

