Thinklytics

Cost & ROI · 10 min read · June 2026

SAP S/4HANA Migration Cost in 2026

By Thinklytics Partners, Cost & ROI

What an S/4HANA migration really costs in 2026: how the path, data readiness, and landscape size move the number, and how to scope so data issues do not blow the budget.

Topics covered

  • SAP S/4HANA migration cost
  • SAP migration budget
  • brownfield vs greenfield
  • RISE with SAP
  • SAP data readiness

Frequently asked questions

How much does an SAP S/4HANA migration cost?

It depends on scope, not a published rate. The drivers are the migration path you choose, the size of your landscape, the volume of custom code, and the state of your master data. The honest way to get a real number is a fixed-scope readiness assessment that prices the work by deliverable rather than by an hours bucket.

What drives S/4HANA migration cost the most?

Data readiness and master data quality. A migration on top of messy data carries the mess forward, blows the timeline, and shows up as rework and reconciliation. After that, the path (brownfield, greenfield, or selective), the landscape size, the custom code volume, and the integration count drive the number.

Is brownfield cheaper than greenfield?

Brownfield converts the existing system and is usually faster and cheaper up front, but it carries forward old design and data issues that can cost more later. Greenfield rebuilds clean and costs more up front but removes legacy debt. Selective moves only the parts worth keeping. The cheapest path on paper is not always the cheapest over the life of the system.

How does RISE with SAP affect cost?

RISE bundles infrastructure, licenses, and managed services into a subscription, which changes the cost from a large capital project to an operating expense. It does not remove the data-readiness work, which is where most migration overruns come from. Budget the data foundation separately regardless of the commercial model.

How do we budget for an S/4HANA migration?

Start with a fixed-scope readiness assessment of your master data, custom code, and integrations. That surfaces the issues that cause overruns and produces a deliverable list you can budget against. Fix the data foundation before the migration so the move itself is predictable.

How do we keep an S/4HANA migration from going over budget?

Get the data right first. The overruns come from undiscovered master-data and quality issues, not from the technical conversion. A readiness assessment that finds those issues before the project starts is the cheapest insurance against a blown budget.

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Thinklytics

Data and AI consulting for Fortune 500s, health systems, and growth-stage companies. Clean data, governed metrics, analytics ready for AI.

Austin, TX · United States

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