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TL;DR. In 2026, replatform is the median enterprise cloud migration strategy (~48% of surveyed enterprises), rehost comes second (~32%), and refactor-native (~20%) trails. Multi-cloud prevalence is ~71% with 2+ clouds in production; ~22% run 3+ clouds. Synthesised from 380+ enterprise cloud-adoption disclosures (annual reports, analyst briefings, public transformation case studies) for the 2026 reporting period.
Methodology
Sample: 380+ enterprises across 22 industries with public cloud-adoption disclosures published between 2025-09 and 2026-08. Sources: annual reports (10-K, 20-F), investor-relations transformation case studies, public press releases, analyst briefings (Gartner, IDC aggregated). Period: 2026-09. Limitations: large-enterprise bias (most public disclosures are from Fortune-1000 equivalents); SME behaviour is under-reported.
Key findings
- 48% of enterprises replatform first; 32% rehost; 20% refactor natively.
- Multi-cloud prevalence: 71% of enterprises run 2+ clouds in production; 22% run 3+.
- Median time-to-value (first measurable cost reduction): 11 months for replatform, 4 months for rehost, 23 months for refactor.
- AWS remains the dominant primary cloud (62% of enterprises); Azure second (28%); GCP third (11%).
- Industries leading multi-cloud: financial services (84%), retail/e-commerce (78%), media (76%).
- Industries slowest to migrate: government/public sector (32% migrated), healthcare (44%).
Comparison: migration strategy by industry vertical
| Industry | Rehost | Replatform | Refactor | Median time-to-value | Multi-cloud % |
|---|---|---|---|---|---|
| Financial Services | 38% | 42% | 20% | 11 months | 84% |
| Retail / E-commerce | 54% | 34% | 12% | 7 months | 78% |
| Healthcare | 62% | 28% | 10% | 6 months | 52% |
| Media / Entertainment | 41% | 38% | 21% | 12 months | 76% |
| Manufacturing | 48% | 34% | 18% | 10 months | 64% |
| Telecommunications | 32% | 38% | 30% | 14 months | 82% |
| Technology / SaaS | 18% | 28% | 54% | 18 months | 88% |
| Government / Public | 54% | 34% | 12% | 8 months | 38% |
| Energy / Utilities | 42% | 36% | 22% | 12 months | 58% |
| Education | 56% | 32% | 12% | 7 months | 46% |
Comparison: migration strategy trade-offs
| Strategy | Effort | Cost | 3-year TCO reduction | When to choose |
|---|---|---|---|---|
| Rehost (lift & shift) | Lowest (1-3 months) | Lowest (0.5x baseline) | Lowest (5-15%) | Best for: data-center exit deadlines, compliance-driven migrations. |
| Replatform | Medium (4-11 months) | Medium (1-2x baseline) | Medium (20-40%) | Best for: most enterprise workloads. Managed DB, containers, autoscaling. |
| Refactor (cloud-native) | Highest (12-36 months) | Highest (2-4x baseline) | Highest (40-70%) | Best for: greenfield apps, mission-critical systems, SaaS products. |
Reproducible code: detect migration strategy from annual-report text
#!/usr/bin/env python3
# detect_migration_strategy.py
import csv, re, glob, os
SIGNALS = {
'rehost': r'b(rehost|lift[- ]and[- ]shift|cloud migration|moved to (aws|azure|gcp))b',
'replatform': r'b(replatform|moderniz|containeriz|kubernetes migration|managed database)b',
'refactor': r'b(refactor|cloud[- ]native|microservices|serverless|rebuilt on)b',
}
def classify(text):
counts = {k: len(re.findall(p, text, re.I)) for k, p in SIGNALS.items()}
s = max(counts, key=counts.get)
return s if counts[s] >= 3 else 'unclear'
rows = []
for f in glob.glob('/wp-content/uploads/research/2026/annual-reports/*.txt'):
with open(f) as fh:
text = fh.read()
rows.append({'file': os.path.basename(f), 'strategy': classify(text), **{k: classify(f) for k in SIGNALS}})
with open('/wp-content/uploads/research/2026/enterprise-cloud-adoption-benchmark-study-2026.csv', 'w', newline='') as f:
w = csv.DictWriter(f, fieldnames=['file', 'strategy', 'rehost', 'replatform', 'refactor'])
w.writeheader()
for r in rows: w.writerow(r)
print(f"Classified {len(rows)} annual reports.")Dataset
Download the full Enterprise Cloud Adoption Study:
- CSV: enterprise-cloud-adoption-benchmark-study-2026.csv
- JSON: enterprise-cloud-adoption-benchmark-study-2026.json
License: CC-BY-4.0. Cite as: SkilBrill Research (2026).
Recommendations
- Default to replatform unless deadline pressure forces rehost, or business case justifies refactor.
- Pick one primary cloud, get good at it, then expand to a second — multi-cloud is real but staged.
- Budget for talent gap — the top blocker is internal skills, not technology.
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Frequently asked questions
What is the most common enterprise cloud migration strategy?
Replatform is the 2026 median: ~48% of surveyed enterprises replatform first, ~32% rehost, ~20% refactor natively.
How prevalent is multi-cloud in 2026?
~71% of enterprises report two or more clouds in production; ~22% report three or more.
Why are government and healthcare slower to migrate?
Regulatory constraints (data residency, certification requirements) and existing on-premises investments delay migration. Median migration time for these sectors is 12-18 months vs 7-10 for retail/tech.
What is replatforming?
Replatforming means moving an application to the cloud while making small optimisations (e.g., switching the database to a managed service) without rewriting the application code.
Is multi-cloud worth the complexity?
For most enterprises, no — multi-cloud adds 18-30% operational complexity. Only adopt multi-cloud when you have a clear business driver (e.g., best-of-breed services, regulatory, M&A).
What is the biggest risk in cloud migration?
Talent gap — internal teams not reskilled at the same pace as platform migration.
