The SAP market is splitting in two.
Across the programs we’re stepping into, there’s a clear divide forming, and most organisations don’t realise which side they’re on yet. On one side, organisations are running on clean core, trusted data, and AI that’s already delivering value in production. On the other, organisations have the same roadmap and bigger ambition, but are still waiting for proof.
This isn’t a budget gap, and it isn’t even an intent gap. It’s a sequencing gap, and it’s widening faster than most programs are moving.
Industry data is starting to reflect this reality. Recent research shows that while roughly 60% of organisations are live or actively migrating to S/4HANA, a significant portion are still behind, with many expected to miss the 2027 deadline altogether. The split isn’t coming — it’s already here.
A Shift the Market Didn’t Ignore
Over the past month, something changed. SAP’s cloud outlook for 2026 didn’t land the way the market expected, and the reaction was immediate. The signal was clear: the roadmap is no longer enough, and execution is now the benchmark. We’re seeing that same shift inside programs:
- Organisations already in proof (live environments, real users, real outcomes) are pulling ahead
- Organisations still in strategy or planning phases are starting to fall behind
The gap is no longer theoretical — it’s operational.
The Deadline Just Got Real
For a long time, 2027 sat comfortably as a planning milestone, but it no longer holds that position. SAP has been explicit that mainstream maintenance for ECC ends in 2027, after which organisations must either migrate, pay a premium to extend support, or operate without it. That shift fundamentally changes the risk profile of doing nothing. Every month of delay compounds:
- Technical debt that becomes harder and more expensive to unwind
- Talent constraints, as SAP-skilled delivery resources tighten
- Missed AI upside that competitors are already beginning to capture
For large enterprise and government programs, where procurement cycles alone can take 12–18 months, the remaining runway is already tightening. This is no longer about when organisations will start — it’s about whether there is still enough time left to execute properly.
AI Isn’t the Accelerator — It’s the Outcome
There’s a misconception emerging in many boardroom conversations that AI will accelerate the transformation journey. In reality, AI is the outcome of getting the foundations right. SAP has already made its direction clear: future innovation, including AI, is focused on S/4HANA environments, not legacy ECC.
Even then, AI only delivers value when the underlying data is clean, governed, and consistent. This is where many programs encounter friction. Research consistently highlights the biggest blockers as:
- Data quality issues
- Process complexity
- Integration challenges
The implication is straightforward: organisations delaying migration are not just delaying ERP modernisation — they are locking themselves out of meaningful AI value.
The 3 Questions That Tell You Where You Stand
When we step into a program, we focus on three questions because they quickly reveal the true state of execution:
- Who owns the migration decision? One name. Not a committee. If ownership is shared, accountability is diluted.
- Is your 2027 timeline funded and procured — or just planned? A roadmap is not a decision. A funded, resourced program is.
- 3. Have you proven AI value in production — or only in a pilot? Pilots demonstrate feasibility. Production proves value.
The answers to these questions usually make it clear which side of the divide an organisation is on.
Leadership in Motion
Across multiple engagements, a consistent pattern is emerging. Programs that are drifting tend to distribute accountability across governance layers, such as steering committees and working groups, without a single named owner responsible for outcomes.
When issues arise, the default response is often to add more governance rather than simplify decision-making or establish clear accountability, which only slows progress further. In contrast, programs that recover quickly tend to operate with:
- A single accountable owner
- A clearly defined deliverable
- A deadline with real consequences
The difference is not technical capability but structural clarity, where ownership and decision-making drive momentum more than process or oversight.
The Bottom Line
Organisations on the leading side of this divide did not get there by moving faster; they got there by deciding earlier and assigning clear ownership from the outset. The industry data is now catching up with what we are seeing on the ground:
- A fixed deadline that is rapidly approaching
- A market that remains only partially transitioned
- Increasing delivery pressure as talent becomes constrained
- AI value that is only accessible to those who have established the right foundations
For organisations still on the other side, the next step is not another roadmap or strategy exercise. It is a decision — backed by funding, ownership, and a clear path to execution.
