Manufacturing Strategy — IFS Core Product, FY27–29

Manufacturing is not one market. It is nine, and they are diverging.

Compiled 12 August 2026 · Internal strategy input · Cited figures carry a named source. Derived and estimated figures are labelled with their arithmetic. Gaps are stated as gaps rather than filled with plausible numbers.

Executive read — the three sentences to open the room with

The strongest 2026 evidence does not support "manufacturers need AI" or "manufacturers cannot hire." It supports something narrower and more useful.

The thesis

Manufacturers are being asked to re-derive their cost, compliance and planning assumptions every quarter, against flat headcount, on data they do not hold in structured form. That is a system-of-record problem. The four highest-scoring challenges in this pack — trade-policy volatility, the inventory/service-level contradiction, the SAP ECC migration window, and the aftermarket/warranty data gap — all sit inside the existing IFS Cloud footprint rather than requiring new categories.

Where the market is — the pool is ~$31bn growing ~8.7%, not 12%

Manufacturing ERP plus the manufacturing slice of EAM, FSM and SCM software. Published forecasts assume 9–12% CAGR but have not repriced for collapsing manufacturing capex — US manufacturing construction is −21.4% YoY and −31% off its Aug-2024 peak. (Estimate; method in Part 1.)

Where the pain is — regulation and trade, not technology

Four US tariff authorities in six months. Five EU regimes converging on one traceability data object. Machinery Regulation 20 Jan 2027 turns "what software is on this asset" into a statutory duty. These are ERP, EAM and FSM data problems with legal deadlines attached. (Cited; primary EUR-Lex and Federal Register.)

Where the risk is — IFS owns execution but not the data layer

Four of six OT vendors have publicly ceded the execution layer to IFS. But Schneider is paying $3.1bn for Cognite, and the Falkonry deal was never completed — so IFS has no owned OT/time-series layer. If IFS loses the intelligence layer it becomes a commoditised system of record.

Evidence quality — read these three warnings before any number goes on a slide

Warning 1 — tier-1 analyst data is paywalled

Gartner's Forecast Analysis: Enterprise IT Spending Across Vertical Industries (doc 7096933) and IT Key Metrics Data 2025: Industrial Manufacturing (doc 5972771) both exist but publish nothing publicly. IDC's Software Tracker is subscription-only. Almost every TAM figure below is tier-2 modelled research (Grand View, Mordor, MarketsandMarkets, Precedence, Fortune).

Pull those two Gartner documents on IFS's own seat before the session — it is the single highest-value input this pack is missing.

Warning 2 — "manufacturing ERP" varies 3× by definition

• Mordor's dedicated manufacturing-ERP report: $5.90bn (2025)
• Mordor's own total-ERP report: manufacturing = 24.53% of $71.62bn = $17.6bn
• Grand View: manufacturing = 19.75% of $77.1bn = $15.2bn

That is an unresolved 3× conflict inside one research house's own product set. Do not put a single manufacturing-ERP number on a slide. This pack uses $15–18bn and treats $5.9bn as a narrower "manufacturing-specific ERP products" cut.

Warning 3 — the forecasts have not repriced for the capex reversal

Software forecasts assume 9–12% CAGR while:

• US manufacturing construction is −21.4% YoY and −30.9% off its Aug-2024 peak, nine consecutive months of decline, now the worst-performing of 17 construction categories (US Census CB26-126)
• US clean-manufacturing investment is −24% YoY with $17bn of cancellations, the highest quarter on record (Rhodium/MIT CEEPR)
• The CHIPS tax credit expires Dec 2026, inside this planning horizon (CRS R49031)

Labelling convention used throughout

Part 1 · Segmentation

Defining the pool: what IFS can actually sell into

Published "manufacturing software" numbers ($44.7bn vendor revenue, Apps Run The World) include PLM, MES and HR — categories IFS does not own. The honest denominator is manufacturing ERP plus the manufacturing slice of EAM, FSM and supply chain software.

Deliberately excluded — and why it matters

MES/MOM ($17.6bn, 11.7% CAGR) and PLM ($36.6–47.9bn) are excluded because IFS does not own them.

PLM is effectively closed: Siemens, PTC, Dassault, Autodesk, SAP and Aras hold ~83% of it (Grand View).

MES is not closed, and Rockwell's own research is the argument for entering it: 93% of manufacturers have MES but only 28% enterprise-wide and only 23% fully integrated across ERP/PLM/quality/OT; 44% rank integration as the top MES buying requirement (n=1,560, 17 countries). Including MES would add ~$18bn to the pool — that is the size of the decision.

Manufacturing sub-industry TAM and five-year growth

Allocation of the ~$31bn (2026) pool across nine sub-industries, grown to 2031 at each sub-industry's own cited software CAGR. Automotive and food are cited shares; the rest are our allocations anchored on published PLM vertical shares and sector revenue weight.

Blended implied CAGR = 8.73% — below the 9–12% the capability-level reports assume, which is the honest read once sub-industry growth is weighted by actual size.

Sector context behind each row (cited)

• Automotive — 96.4m vehicles produced 2025, +3.9%; industry revenue $2.75trn → $3.26trn (2030); EU BEV share 20.7% H1 2026 vs 15.6%, units +40.5% (OICA, ACEA)
• Industrial & heavy equipment — global machinery turnover ~€3.3trn, flat YoY; German order intake 0% real growth 2025, VDMA forecasts +1% real 2026; H1 2026 domestic orders −2%, foreign +9%, euro-area −8% (VDMA). ETO software is unusable: sized at $1.9bn–23.3bn across four houses (12× spread).
• High-tech & semis — semiconductor sales $791.7bn 2025, +25.6%, ~$1trn projected 2026; WFE $143.9bn 2026 +23.1%; 300mm fab equipment $133bn 2026 → $151bn 2027; EMS $620bn → $909bn (2031) (SIA, SEMI)
• A&D — US A&D sales $988.6bn 2025; capex $45bn +13%; MRO demand $136bn 2025 → ~$193bn 2030 (7.25%/yr derived); Rheinmetall backlog €80.5bn, book-to-bill >3 (AIA, Oliver Wyman, Rheinmetall H1 2026). Unresolved: aviation MRO software CAGR 2.57% vs 8.0%.
• Food & beverage — sector $7.0–7.4trn manufacturer shipments (retail-value sources say $9.44trn — a 34% definitional gap); growth 3.8–5.9% (TBRC)
• Life sciences — global medicine spending ~$1.6trn 2025 → $2.3trn 2028, 5–8% CAGR (IQVIA). Pharma manufacturing output value: not found in any source. Pharma MES $2.37bn (2025) → $4.62bn (2030) @14.3%; LS QMS $3.7bn → $10.1bn @13.8%
• Chemicals — global chemical sales €4.9–5.1trn (derived, two paths agree within 3.6%); EU share fell 21% (2009) → 13% (2024) while China rose 24% → 46%; EU capacity utilisation 9.5pp below the 2014–19 average; EU gas still 3× US (Cefic)
• Metals — world crude steel 1,849.4 Mt 2025, −2.0%; China −4.4%, Germany −8.6%, India +10.4%. Steel value +5–6% on falling tonnage = price/mix, not volume (World Steel)
• Energy equipment — 165 GW new wind 2025, +40% record; solar >600 GW. But cleantech manufacturing investment more than halved 2023→2025 and fell again in 2026; >60 GW/yr of module capacity idle (GWEC, IRENA/CPI). Value inversion: wind turbine O&M is $39.61bn (2025) → $59.67bn (2030) @8.5% — roughly 10× the entire renewable asset-management software category, and that pool sits in EAM/FSM, not here.

Attractiveness map — size vs growth vs IFS capability fit

Reference lines: blended CAGR 8.73%, mean segment size $3.44bn. Fit is our assessment based on owned capability, named references and competitor absence.

• Upper-right (the strategically interesting quadrant): industrial equipment and A&D combine above-average growth with maximum IFS fit.
• Automotive is the largest pool but the slowest-growing and only a moderate fit.
• Life sciences is the fastest-growing and the worst fit — a deliberate in-or-out decision, not an oversight.

The segmentation conclusion

Size and fit are inversely correlated in this market. The two biggest pools (automotive $7.8bn, high-tech $4.3bn) are where IFS is weakest relative to SAP, Oracle and the MES incumbents. The two best-fit segments (industrial equipment $4.7bn, A&D $3.7bn) are mid-sized but carry the strongest demand-and-pain combinations in the pack.

A 2–3 year strategy that chases the largest pool will fight SAP on SAP's ground; one that compounds in industrial equipment and A&D defends a franchise nobody else can currently attack.

Capability-area TAM — and where the numbers cannot be trusted

The same markets viewed by capability rather than vertical. Conflicts above 2× are flagged because averaging them would be dishonest.

Macro envelope — cite with the date attached

Gartner: worldwide IT spending $5,577bn (2025) → $6,369bn (2026), +14.2%; software $1,271bn → $1,468bn, +15.5% (27 Jul 2026).

But Gartner revised its own 2026 forecast four times in ten months: 9.8% → 10.8% → 13.5% → 14.2%, a $6.08–6.37trn range, and nearly all of the upward revision is AI infrastructure rather than applications. Lovelock's own caveat: "this is not a rising tide lifts all boats market trend." Whichever vintage you quote, state the date.

IFS's published competitive position

EAM: IFS #1 globally at 19.4% share, ~$500m revenue (2024), per Precedence citing IFS/Gartner. In FSM the top five — Oracle, Salesforce, Microsoft, SAP, IFS — hold ~45% combined.

The signal to act on: EAM, APM, FSM and manufacturing-ERP vendor lists all name IFS. The SCM software vendor list does not (Kinaxis, Blue Yonder, Manhattan, Oracle, SAP). For an $8.7bn manufacturing slice, that is the clearest whitespace-or-weakness reading in the pack.

Company size and archetype — where the contradiction is

Large-enterprise concentration is far higher in asset-centric software than in generic ERP

The ordering is stable across houses: asset-centric and complex-service software is 15–25 percentage points more concentrated in large enterprise than generic ERP is. That is a structural description of IFS's franchise, and it is the argument against re-positioning IFS as a mid-market vendor.

Contradiction to put in front of the room

Analysts say SME and mid-market grow fastest (14–21% CAGR). The P&Ls say the opposite. Mid-market-weighted vendors grew +13–17% (Oracle NetSuite +13/+14%, Microsoft D365 +13–22%) while enterprise cloud ERP grew +25–27% cc (SAP Cloud ERP Suite €5.5bn, +25%).

Either the SME CAGRs are greenfield-adoption modelling artefacts, or SME growth is accruing to long-tail vendors invisible in public filings. IFS at +23–25% ARR is outgrowing both mid-market proxies and tracking near SAP's enterprise cloud rate — consistent with IFS's real position being asset/service-centric complexity rather than "mid-market" per se.

The upper-mid-market band, and what is genuinely unknown about it

Geography — EMEA is the better market right now

North America is the largest region in every capability. APAC is the fastest in every capability. Neither is the answer for the next 2–3 years, and the reason is policy rather than demand.

EMEA · structurally advantaged

27–30% of ERP and FSM, and the only region that leads a capability. Europe is the largest region in ESG software at 34.90% — a CSRD-driven anomaly and a genuine EMEA-specific opportunity. Regulation is the demand generator: CSRD, the Machinery Regulation, digital product passports and CBAM all force ERP-grade data. Germany's NIS2 supervised population went from ~4,500 to ~29,500 entities — a 6.5× expansion, with no transition period.

North America · tailwind reversed

Largest region (32–39%) but the capex driver has inverted. Manufacturing construction −21.4% YoY, −30.9% off peak, nine straight months of decline. Clean manufacturing investment −24% YoY with record cancellations. CHIPS appropriations expire end-FY2026 and the 25% tax credit expires Dec 2026 — a hard cliff inside the planning horizon. Reshoring drivers flipped: cases citing incentives −49%, cases citing tariffs +455%.

APAC · fastest, but partly closed

9–17% CAGR everywhere. India ties PLI payouts to ERP-driven production reporting — investment realised passed ~$27.6bn by Mar 2026, +49% in one year — and India is the only large growth market in steel at +10.4%. But China mandates domestic ERP for state-owned firms, which is a durable headwind for every Western vendor, not a competitive gap.

Terminology trap: no analyst report uses "EMEA" as a unit — all of them split Europe and MEA separately. If an internal model aggregates to EMEA, it is not comparable to any published regional share in this pack. Separately, Gartner and IDC 2026 IT spending broken out by region: not found publicly.

Part 2 · Challenges

Ten challenges, scored on severity and IFS capability fit

Severity = magnitude and immediacy of customer pain, quality of evidence, and presence of a dated deadline. Fit = how much of the solution already sits inside the IFS Cloud footprint versus requiring new build or partnership.

Four challenges score 5/5 on both — and all four are inside the existing footprint. The two genuinely new builds worth funding (#5 traceability, #6 as-maintained software configuration) score 4/5 on severity but 5/5 on fit, and both only make sense on a platform that already holds ERP item master, EAM asset records and FSM service history together.

1 · Trade-policy volatility as a master-data and landed-cost problem — 5/5 · 5/5

The framing nobody else is using: authority churn, not rate height.

Four legal authorities in six months. SCOTUS struck down IEEPA tariffs 20 Feb 2026; replaced by a 10% Section 122 surcharge (statutorily capped at 150 days); that expired 00:01 ET 24 Jul 2026 and was replaced the same minute by a global Section 301 regime; Section 338 added 50% Canada duties from 19 Aug 2026.

Exemptions are defined at HTSUS subheading level, differ by country, and are cumulative with AD/CVD. Retroactive refund machinery is live (CBP CAPE Phase 1, 20 Apr 2026). "Tariff costs" appears in 206 10-Qs filed 1 Apr – 12 Aug 2026. Statutory rate 11.0% vs effective 6.6% — the 4.4pp gap IS the exemption complexity. NAM Q2 2026: raw material costs became the #1 challenge at 83.1%, up 25.6 points in one quarter.

Capability touched: ERP landed cost, item and supplier master, procurement, product costing, S&OP scenarios. Nothing needs to be invented.

2 · The inventory / service-level contradiction — 5/5 · 5/5

49% of manufacturers now mandate lower inventory while production-material lead times stretched 77 → 87 days. LMI inventory costs 77.0 against levels 55.0 — a 22-point gap versus a 13-point long-run norm. Record $1.94trn working-capital opportunity (Hackett 2026). 65% still rely on manual reporting for supply chain data.

Capability touched: demand and supply planning, multi-echelon inventory, S&OP, spares planning.

Objection to pre-empt: McKinsey found digital supply-chain investment plans collapsed 47% → 25%, crowded out by "often new ERP implementations." Sell it as part of the ERP, not adjacent to it.

3 · ERP modernisation window — the SAP ECC cliff plus AI gated behind cloud spend — 5/5 · 5/5

Business Suite 7 mainstream maintenance ends 31 Dec 2027, extended to 2030 at +2 percentage points. Gartner: >60% of SAP customers remain on ECC6 on-premises with no decision to move; ~40% still on ECC in key areas by 2030. 54% of DACH users still on ECC and roughly half will not move before 2030.

Joule requires shifting ≥50% of maintenance spend to cloud. 77% of SAP customers running AI in production run it on non-SAP. 62% do not plan against SAP's vision. 28% are cutting SAP budgets. DSAG publicly called MRS re-licensing "unacceptable."

Capability touched: direct displacement opportunity. Composite ERP + EAM + FSM is the differentiator against a financials-only replacement. The single cleanest GTM wedge in the pack.

4 · Servitization and warranty — the aftermarket data gap — 5/5 · 5/5

Best evidence quality in the entire pack: SEC-audited, not survey-based.

BCG: a quarter to half of industrial companies fail to realise their services potential specifically because of "a lack of information about installed equipment, including its condition, location, usage, and service history."

US warranty reserves +17% (over $10bn) in 2025. The Big-3 US OEMs booked ~$6.65bn of catch-up accruals for already-sold vehicles because actuaries missed on tariffs and parts (Ford and GM alone ~$5.55bn). Derived from 10-Ks across >1,400 manufacturers on a 23-year series.

Recommendation: make warranty forecasting and change-of-estimate analytics a named, marketed capability.

5 · Regulatory traceability convergence — one data object, five regimes — 4/5 · 5/5

The strongest greenfield product opportunity in the pack.

DPP/ESPR, Battery Passport, EUDR, CRMA and PPWR all demand the same object: item/lot-level, supplier-attributed, evidence-linked, with a unique identifier and machine-readable carrier, differentiated access rights, retained 5–10 years or lifetime+10.

Hard dates: CRA Art 14 reporting 11 Sep 2026; EUDR 30 Dec 2026; battery passport 18 Feb 2027 (fixed); battery due diligence 18 Aug 2027; CBAM downstream proposed 2028; DPP realistically 2028–29. Add steel melt-and-pour traceability under the new EU safeguard, with the Commission's evidentiary spec due 31 Aug 2026.

Capability touched: sits exactly at the ERP item master / PLM / EAM asset record / aftermarket service-history intersection — which is the IFS composite thesis. Build it once as a platform capability, not five features.

6 · EU Machinery Regulation, 20 January 2027 — 4/5 · 5/5

Under-appreciated and almost entirely uncontested by competitors.

Digital instructions online for lifetime + 10 years; digital declarations of conformity for 10 years; the machine must inventory its own safety-critical software and provide that inventory "at all times"; a 5-year safety-software upload trace log; 1-year safety-decision data retention.

Article 18: anyone making a substantial modification "shall be considered to be a manufacturer" — which makes every field modification a potential conformity event.

Date trap: a corrigendum moved this from 14 January to 20 January 2027. Get this right in customer-facing material.

Capability touched: as-maintained configuration with full change history is an EAM/FSM object. Reinforced by CRA Art 14 from 11 Sep 2026, and by the fact that 26% of ICS security advisories ship with no patch or mitigation — so OT risk is managed through scheduled work and compensating controls, i.e. through work management.

7 · Asset management maturity in asset-intensive utilities — 4/5 · 5/5

The cleanest, most credible whitespace number available.

Just over 30% of US water utilities have a fully implemented asset management plan — with no federal requirement and only 13 states mandating one — against 450,000 miles of past-life mains, ~240,000 breaks a year costing $2.6bn, and roughly a third of the workforce retirement-eligible within the decade. Energy infrastructure graded D+: 60% of circuit breakers are 30+ years old, 70% of transmission lines 25+ years. EPA puts drinking-water needs at $625bn over 20 years.

Capability touched: core EAM/APM, work management, mobile maintenance, capital projects, plus Copperleaf asset investment planning. Lead EAM conversations with this rather than with recycled downtime-cost statistics.

8 · Ageing plant expertise and the field-service performance spread — 4/5 · 5/5

Median ages: 48.6 (stationary engineers), 47.9 (instrument techs), 47.6 (maintenance supervisors), 45.5 (industrial machinery mechanics); 54,200 industrial-mechanic openings a year, replacement-driven.

Across 21m service requests, first-time fix rate is 86% in the top quintile versus 53% in the bottom, median 75%; 14% of truck rolls are avoidable. NAM: only 26.2% of manufacturers do advanced role-specific AI training.

Reframe required: from "silver tsunami" to "the people who know THIS plant are retiring, and your newest hires aren't trained on the tools you just bought." The honest 2026 framing is productivity, not scarcity — NAM workforce concern has fallen to 6th place at 46.95%.

9 · CSRD/ESRS churn and the inverted supplier-data problem — 4/5 · 4/5

Highest re-work risk in the portfolio.

Thresholds moved twice in 14 months, to €450m revenue AND 1,000 employees — removing an estimated 90% of companies from scope; listed SMEs deleted, sector ESRS dropped, reasonable assurance dropped, first reporting FY2027. FY2026 is a dual-version reporting year. CSDDD raised to 5,000 employees / €1.5bn with the transition-plan duty deleted and compliance delayed to July 2029. (Directive (EU) 2026/470, final Council approval 24 Feb 2026.)

Critically: the value-chain cap makes questionnaire-blasting unlawful, and sub-1,000-employee suppliers can legally refuse data beyond VSME. CDP shows 88% governance completeness versus 31% metrics completeness.

Anyone still building a supplier ESG questionnaire engine is building the wrong thing. The GHG Protocol three-ledger no-netting structure means an annual-single-number design will need rebuilding twice before Q4 2028.

IFS Zero — emissions collected from operational execution — is structurally on the right side of this shift: the data comes from the work, not from a questionnaire.

10 · The AI credibility gap and the agentic trough — 4/5 · 4/5

McKinsey (n=1,993, GDP-weighted): ~39% report any EBIT impact and ~6% are high performers; no more than 10% are scaling agents in any individual function. Gartner places agentic AI at the Peak of Inflated Expectations, with the Trough next. AI inaccuracy is the most-experienced realised harm and explainability the least-mitigated risk. Only 10% of SAP customers are at enterprise-scale AI. MRO has been stuck at 58% "experimental" for two consecutive years.

Treat as a posture, not a feature. It favours IFS structurally — workflow redesign is the differentiator, manufacturing is one of only three functions with realised cost benefit, and deterministic solvers still beat LLMs on constraint problems, which protects IFS's scheduling-optimisation asset rather than obsoleting it. But it requires proof, not positioning.

Just outside the top ten — and why that is a deliberate call

The regulatory clock — dated forcing functions inside the horizon

These are the dates that make a customer sign. All from primary EUR-Lex, Federal Register or regulator sources.

Load-bearing gap — verify before the session: whether the ESPR Digital Product Passport registry was actually set up by its Article 13(1) deadline of 19 July 2026 could not be confirmed, and whether the Art 13(5) registry implementing act has been adopted is unknown. This matters because Article 15 customs obligations start "from the moment the registry is operational" and the CSW-CERTEX four-year interconnection clock runs from that act. The Commission's own published timeline stops at 9 February 2026. Do not assume the registry is live.

Competitive context — everyone wants to decide, nobody wants to execute

The structural pattern

Four of six OT and engineering vendors have publicly conceded the execution layer, in writing, sometimes naming IFS.

• AVEVA's 19 May 2026 release makes IFS the layer that decides "what work to do, when to do it, and whether to repair, defer or replace."
• Siemens has called IFS "market-leading" in EAM and FSM in two separate partnership releases, the second signed CEO-to-CEO.
• PTC Orbit's entire premise is reading from PLM/ERP/EAM/FSM rather than replacing them.
• AspenTech's own APM launch PR concedes it needs "deep integration with enterprise asset management systems."
• Rockwell has no FSM at all and a mid-market CMMS.
• Only Salesforce is genuinely trying to own service execution — with no EAM, no ERP and no private or on-premise option.

The corollary — and the actual strategic risk

The real 2026 competitive axis is the intelligence and orchestration layer above the system of record: PTC Orbit, Siemens Intelligence Center X, AVEVA CONNECT + Cognite, Salesforce Agentforce 360 + Data 360, SAP Joule Work + Knowledge Graph, Rockwell FactoryTalk Hub, Palantir Foundry.

Everyone is fighting to be the layer that decides while conceding the layer that executes. IFS is the only vendor that credibly does both — but if IFS loses the intelligence layer, it becomes a commoditised system of record. That sentence is the strategic risk this session exists to address.

Five findings that should change an internal brief

1 · Correct this internally — the Falkonry acquisition was never completed. Falkonry's own About page states: "While IFS announced an acquisition of Falkonry, the merger was ultimately not completed." There is zero occurrence of "Falkonry" in ifs.com's 27MB sitemap. IFS therefore has no owned time-series/telemetry AI asset from that deal — precisely the gap Schneider is filling with a $3.1bn cheque for Cognite. Also unverified: a "Custom Controls" acquisition, for which no trace exists.

2 · Retire this claim — the Gartner Magic Quadrant for FSM no longer exists. Retired after the 2022 edition. There is no 2025 or 2026 FSM MQ. Any present-tense "Gartner MQ Leader in FSM" claim is a credibility risk — and a partner site is currently asserting "MQ Leader for the 7th time in a row," which compounds it. Defensible current placements: 2026 IDC MarketScape AI-Enabled Asset-Intensive EAM Leader and 4th consecutive Gartner Peer Insights Customers' Choice for Cloud ERP (only vendor, 4.7/5, 88% willingness to recommend). Note Octave and ServiceNow are also Leaders in that EAM MarketScape — "sole leader" is not available.

3 · The EAM competitive set has been reframed — the competitor is no longer Hexagon, it is Octave Intelligence plc. Spun out 28 May 2026 (Nasdaq: OCTV), carrying HxGN EAM (ex-Infor EAM) as "Octave Attune EAM." First public quarter: revenue $398.4m (−4%), licences −23%, and a $2,134.7m impairment because market cap sat below book value; net loss $1,970.7m. Only a "Major Player" in the Utilities and Oil & Gas EAM MarketScapes — precisely IFS's verticals — and its agentic capability is roadmap only, per its own IDC citation. Third rebrand in five years opens a customer-uncertainty window. Hexagon RemainCo has exited asset software entirely.

4 · Seat-based pricing is being repriced in public, and IFS has published nothing. Christian Klein, 18 Mar 2026: "It would be foolish to still charge subscription base, because AI is so powerful that it will automate a lot of tasks." Every named competitor has taken a public position — Oracle and Infor say included; Epicor says outcomes-based plus a free marketplace; SAP says AI Units moving to outcomes; Microsoft says Copilot Credits with a hard 125% cut-off; ServiceNow re-bundled into tiers; Salesforce runs three models at once with a published rate card. IFS Loops and Nexus Black have no published pricing. Buyers now ask this in RFPs, and "we'll tell you later" loses to Infor's "it's all included."

Whitespace — capability gaps ranked by how often a competitor's differentiator maps to an IFS absence

Who has actually shipped agentic capability, as opposed to announced it

Shipped with proof: Salesforce (Agentforce ARR $1.2bn, +205%; 29,000+ deals), Siemens (Eigen Engineering Agent, 100+ companies in 19 countries), SAP (50+ Joule assistants orchestrating 200+ agents, RWE reference), Infor (>100 agents, Xpress Boats metrics), Epicor (70,000+ requests/month), IFS (Loops Agent Studio, Kitron reference, ~60% of agentic transactions fully automated per H1 2026).

Not yet shipped: Rockwell (Sep 2026 via Augury), AVEVA (Q1 2027, or bought via the unclosed Cognite deal), Microsoft (Scheduling Operations Agent GA deferred to Mar 2027), PTC (12 agents, no adoption data), Octave (roadmap only, per its own IDC citation). That last group is the window.

Part 3 · Big bets

Platform bets — fund once, land in every sub-industry

Five bets that are horizontal by construction. The first three are product; the last two are decisions the session must not defer. Building any of them per-vertical is the failure mode.

H1 · The Single Traceability Object

Platform · product build · highest greenfield value · lands in all nine sub-industries

The bet. Build one item/lot/serial-level, supplier-attributed, evidence-linked data object with a unique identifier, machine-readable carrier, differentiated access rights and 5-to-10-year (or lifetime+10) retention — and serve DPP/ESPR, Battery Passport, EUDR, CRMA, PPWR, FSMA Rule 204 and steel melt-and-pour from it. Not five features. One object.

Why now. Five regimes are converging on the same object with staggered dates, and the battery passport's 18 February 2027 deadline is fixed and non-slipping — the forcing function that justifies building now rather than waiting for ESPR delegated acts in 2028–29.

Why IFS wins. The object sits precisely at the ERP item master / EAM asset record / FSM service-history intersection. No competitor holds all three. Blue Yonder and Kinaxis have no asset record; Octave and AVEVA have no item master; SAP has all three but its asset and service estate is mid-consolidation with ERP integration only GA in Q4 2026.

Proof point. Land first in automotive battery supply chain (hard 2027 date) and steel/metals (melt-and-pour, Commission spec due 31 Aug 2026; ArcelorMittal already an IFS FY2025 win), then generalise.

Risk. DPP registry status is unconfirmed and Art 15 customs obligations only start when the registry is operational. Scope to the dated regimes (battery, EUDR, melt-and-pour, FSMA) and treat DPP as the generalisation, not the anchor.

H2 · Landed cost and trade-authority agility

Platform · product build · nothing needs inventing · all nine sub-industries

The bet. Make IFS the system that absorbs a change of tariff legal authority without a re-implementation: HTS classification and country-of-origin as first-class master data, per-country subheading-level exemption logic, cumulative AD/CVD, retroactive refund accounting, and tariff scenarios inside S&OP rather than in a side spreadsheet.

Why now. Four legal authorities in six months — IEEPA struck down, Section 122 for 150 days, global Section 301, then Section 338 — with the rate barely moving. The pain is not the rate; it is that master data, landed cost and HTS classification have to be re-derived each time. Manitowoc filed a CBP prior disclosure on five years of its own Section 232 methodology. "Tariff costs" appears in 206 10-Qs in four months.

Why IFS wins. No competitor is using the authority-churn framing. Everyone is selling "tariff impact dashboards" against a rate that is roughly stable at 11%. The differentiated claim is agility under legal-basis change, and it is a claim only a system of record can make.

Evidence to sell with. Statutory 11.0% vs effective 6.6% — the 4.4pp gap is the exemption complexity, and presenting either number alone misleads. Fed Beige Book, Jul 2026: pass-through is heterogeneous — "some contacts reported passing along all the cost increases, some passed on only part, and some did not pass along." Dallas expects input prices +3.7% vs selling prices +2.8%: a 0.9pp margin squeeze.

H3 · As-maintained configuration with statutory trace logs

Platform · product build · uncontested · primary landing: machine builders

The bet. Treat "what software version is on this asset, who changed it, and when" as a first-class EAM/FSM object with statutory retention — machine software self-inventory, a 5-year safety-software upload trace log, digital instructions for lifetime+10 years, and modification records that carry conformity consequences.

Why now. EU Machinery Regulation applies 20 January 2027 (note the corrigendum from 14 January), and Art 18 makes anyone performing a substantial modification the manufacturer — so every field modification becomes a potential conformity event. CRA Article 14 reporting starts 11 September 2026. Criminal penalties are available; national penalty amounts are notifiable by 20 October 2026.

The security angle, done correctly. Do not become a security vendor. The defensible argument is that 26% of ICS advisories ship with no patch or mitigation and only 2% qualify for immediate action — so OT risk is managed through compensating controls, scheduled work and access control, i.e. through work management. Reinforce with NIS2 Article 20 personal management liability and the 24h/72h/1-month clock, which makes incident-linked asset and work records a board-level concern.

Why IFS wins. Almost entirely uncontested. No competitor is publicly positioning against the Machinery Regulation software-inventory duty. It lands hardest on machine builders and their service organisations — which is bet 01's population.

H4 · Own, or explicitly rent, an OT and semantic data layer

Platform · defensive · decide in this window · classification: existential

The bet. Make a deliberate build / buy / deepen-partnership call on time-series, telemetry and a governed semantic layer. The status quo is an unmanaged dependency, not a strategy.

Why now. The Falkonry deal was never completed, so there is no owned asset. Meanwhile Schneider agreed on 30 June 2026 to buy Cognite for $3.1bn all-cash and will integrate it with AVEVA — the same AVEVA that is IFS's OT partner. AVEVA's CONNECT major release with an industrial knowledge graph and agentic "twin builder" is planned for Q1 2027. A partnership is fine until the partner buys the layer above you.

Aggravating factor. No public statement defines competitive boundaries, overlap rules or co-sell economics in the AVEVA–IFS partnership. That is a real commercial gap and it should be closed internally before the Cognite deal closes, not after.

Recommendation. If buying, the target profile is a time-series/anomaly-detection and semantic-layer asset, not another application. If renting, the deliverable is a written boundary and co-sell agreement with AVEVA and Siemens plus a documented multi-source ingestion posture, so that no single partner's M&A can strand the roadmap.

H5 · Publish an AI commercial model

Platform · commercial · decision, not a build · exposure: every RFP

The bet. State publicly how IFS charges for agents, and design it against the field rather than in isolation. Oracle and Infor say included. Epicor says outcomes-based plus a free marketplace. SAP says AI Units moving to outcomes. Microsoft says Copilot Credits with a hard cut-off at 125% of prepaid capacity. ServiceNow re-bundled into tiers. Salesforce runs three models simultaneously with a published rate card down to $0.50 per field-service appointment. IFS Loops and Nexus Black have no published model; Nexus Black is explicitly bespoke co-investment.

Why it is urgent. Buyers now ask this in RFPs and "we'll tell you later" loses to Infor's "it's all included." Separately, the market repriced the seat model in public: on 3 February 2026 Thomson Reuters fell 18%, RELX 14%, Wolters Kluwer 13%, and the S&P 500 software index shed roughly $1trn in market value in a week. With an IPO signalled for 2027–28, a coherent public model is an equity-story asset.

Differentiated position available. Microsoft's hard 125% capacity cut-off is a genuine availability risk in 24/7 field operations, and SAP's AI Units price compute rather than outcomes, pushing ROI risk onto the buyer. An outcome-linked model tied to completed work orders, resolved incidents or touchless transactions is both defensible and consistent with IFS's own published metric of ~60% of agentic transactions fully automated.

Adjacent decision. Panorama argues buyers are now "effectively evaluating two vendors" — the application and the model behind it. Oracle embeds Gemini, SAP puts Claude behind Joule, Microsoft runs OpenAI. The Nexus Black/Anthropic relationship is a live differentiator and a live single-model-dependency risk. State a model strategy alongside the pricing model.

One big bet per sub-industry

Ordered by conviction rather than by TAM. Two of the nine are deliberately "do less."

01 · Industrial & heavy equipment (MTO/ETO) · Fit 5/5 · $4.65 → $7.1bn @ 8.9%

Build the servitization operating system for capital equipment

Trigger. BCG: a quarter to half of industrial companies fail to realise their services potential specifically because of "a lack of information about installed equipment, including its condition, location, usage, and service history." That is a description of a missing installed-base register, not a missing analytics tool. Meanwhile the machinery sector is flat — VDMA forecasts +1% real production in 2026 on 0% 2025 order growth — so growth has to come from the aftermarket, not from new units.

Second trigger. Demand has split geographically inside the same customer base: H1 2026 German machinery orders were domestic −2% but foreign +9%, non-euro +16% and euro-area −8%, with June alone +21% real YoY on large-plant business. Japan machine tool orders +52.8% YoY, the 12th consecutive increase. That favours large-capital-project capability and multi-currency, multi-jurisdiction project execution over volume-manufacturing efficiency.

Build. The installed base as the product: condition, location, usage, configuration and full service history as one governed record; outcome-based and as-a-service contract structures with usage billing; warranty and service-contract profitability by unit; spare-parts planning against that register. Then attach H3 — as-maintained software configuration — because the Machinery Regulation lands hardest on exactly this population.

Do not. Do not size this from ETO software reports. Four houses size ETO at $1.9bn to $23.3bn — a 12× spread. It is unusable and must be built bottom-up.

Competitive urgency. o9 joined the Association of Equipment Manufacturers in Q2 2026. PTC has Servigistics plus a stochastic parts twin. Neither has an ERP or asset system of record — but both are moving on this base now.

02 · Aerospace & defence · Fit 5/5 · $3.72 → $5.7bn @ 8.8%

Double down on MRO plus defence industrial-base readiness

Trigger. The cleanest demand-plus-pain combination in the entire pack. Rheinmetall H1 2026: sales +39%, record backlog €80.5bn versus €56.0bn a year earlier, book-to-bill over 3. NATO's Hague pledge is 5% of GDP by 2035, with cyber and critical-infrastructure protection explicitly counting. SAFE's €150bn was oversubscribed by 19 Member States; ReArm Europe targets €800bn by 2030. European Allies and Canada raised defence spending by ~$139bn nominal in 2025, nearly 20%.

The pain that converts it. The primes' constraint is capacity, not demand. NDIA Vital Signs 2026: 56% of the US defence industrial base finds it somewhat or very difficult to hire cleared, skilled-trade and STEM workers — unchanged across three consecutive years. Add the 1 January 2027 DoD rare-earth sourcing prohibition, which CSIS assesses may not be feasible. On the civil side, MRO demand is $136bn (2025) → ~$193bn (2030), 7.25%/yr derived, against a fleet growing to ~41,000 aircraft by 2036.

Build. Capacity-constrained programme and production execution; cleared-workforce scheduling and qualification tracking as a first-class constraint; alternate-part/AML management and rare-earth provenance routed through H1's traceability object. Extend EmpowerMX airframe MRO depth into naval and land-systems sustainment, where Palantir is currently unopposed.

Resolve first. Aviation MRO software CAGR is 2.57% (Fortune) versus 8.0% (Straits) on the same ~$8bn base — a $7bn divergence by 2034. This single choice swings the whole A&D aftermarket business case. The 2.57% figure was arithmetically verified as a genuine analytical position, not a typo. Settle it before committing investment.

Counter-position. Against Palantir's $448m Navy ShipOS and Airbus/Boeing/Lear wins: they orchestrate the decision; IFS holds the airworthiness record, the maintenance execution trail and the audit history. Oracle and Infor have no A&D airworthiness MRO at all.

03 · Energy equipment & renewables · Fit 5/5 · $0.62 → $0.9bn (mfg slice only)

Follow the value inversion from the factory to the installed base

Trigger. A clean inversion. Record deployment — 165 GW of new wind in 2025, +40%; solar above 600 GW — alongside cleantech manufacturing investment more than halving 2023→2025 and falling again in 2026, with over 60 GW/yr of module capacity sitting idle. Building manufacturing ERP for module plants is building for a shrinking population.

Where the money actually is. Wind turbine O&M is $39.61bn (2025) → $59.67bn (2030) at 8.5% — roughly 10× the entire renewable asset-management software category, and the single most credible software-adjacent number in this pack. Add grids at ~$400bn/yr with 80m km to add or refurbish by 2040, and IEA's verified statement that wait times for transformers and cables have doubled in three years.

Build. O&M and service execution for installed renewable and grid assets — not manufacturing ERP for the factories. Leverage Copperleaf asset investment planning, already proven at Avacon, E.ON Sweden and WEL Networks, plus the Siemens autonomous-grid partnership. Route utility asset-management maturity (challenge #7) through here.

Note on the TAM. The $0.62bn figure is deliberately small because it is only the manufacturing slice. The strategic pool for this bet sits in EAM/FSM and the utilities vertical, not in the manufacturing segmentation table. Do not present the $0.62bn as the opportunity.

04 · Automotive & mobility · Largest pool · Fit 3/5 · $7.75 → $10.9bn @ 7.07%

Win on warranty and aftermarket cost intelligence, not on volume manufacturing

Trigger. The best-evidenced opportunity in the pack, because it is SEC-audited rather than survey-based. US warranty reserves rose 17% (over $10bn) in 2025, and the Big-3 US OEMs booked roughly $6.65bn of catch-up accruals for already-sold vehicles because their actuaries missed on tariffs and parts — Ford and GM alone ~$5.55bn. Automotive warranty costs run 2.5–3× the all-industry average.

Read the market honestly. The "EV slowdown" narrative is out of date for Europe: H1 2026 EU registrations +5.7%, BEV share 20.7% versus 15.6%, BEV units +40.5%, June alone +60.7%. But the supply base is in a solvency crisis — Bosch is cutting 13,000 Mobility jobs in Germany to close a €2.5bn cost gap; ZF is cutting ~7,600; 207 large German corporate insolvencies at mid-2025, ~21% above record-year 2024, automotive suppliers worst hit; German auto-supplier employment forecast to fall from 267,000 to ≤200,000 by 2030. And the EU 2035 CO2 rules were relaxed, not confirmed — the Commission's 16 Dec 2025 proposal to replace the engine ban with a 90% reduction target is still contested.

Therefore. The buying trigger in automotive is cost control and compliance, not growth. Build warranty forecasting and change-of-estimate analytics as a named, marketed capability; supplier-risk-linked planning against a distressed tier-2 base; and battery-passport traceability via H1, where the 18 Feb 2027 date is fixed.

Do not. Do not chase volume MES or plant-floor execution here. This is where SAP, Rockwell (Lucid) and Siemens are strongest and where IFS has no differentiated claim. It is the largest pool in the table and the wrong fight.

05 · Metals & building products · Fit 4/5 · $1.24 → $1.8bn @ 8.2%

Melt-and-pour provenance plus asset-performance cost-out

Trigger. The new EU steel safeguard turns trade compliance into a master-data problem with a date. Reg (EU) 2026/1384 from 1 July 2026 cuts quota ~47% to 18.3 Mt/year, raises out-of-quota duty to 50% ad valorem, and requires importers to submit verifiable evidence of first melting and casting — with the Commission's evidentiary specification due 31 August 2026. Quota carry-over is now conditional on average use exceeding 80% over three quarters, which makes quota availability itself a planning variable.

Why cost-out, not ERP replacement. World crude steel fell 2.0% to 1,849.4 Mt in 2025 while steel value rose 5–6% — that is price and mix, not volume. Historically that combination favours cost-out and asset-performance software over growth-driven ERP replacement. Germany −8.6%, China −4.4%; India at +10.4% is the only large growth market, and the only greenfield one.

Build. Melt-and-pour origin as a supplier-attributed master-data object (H1); quota-aware and CBAM-aware planning; APM and asset-performance cost-out against ageing brownfield plant. ArcelorMittal is already an IFS FY2025 win — use it.

Honest caveat. Metals/steel ERP, building products software and cement software are not sized discretely by anyone. The $1.24bn is our allocation and the CAGR is proxied from mining software. Treat the bet as evidence-led on regulation and sector economics, not on a TAM figure.

06 · Food & beverage / CPG · Fit 4/5 · Slowest growth · $3.72 → $5.0bn @ 6.0%

Use compliance-grade traceability as the wedge into the mid-market

Trigger. FSMA Rule 204, compliance date 20 July 2028, described in the industry as "the most significant regulation the food industry has ever faced." The 24-hour records-response requirement makes paper and spreadsheets untenable. FMI notes adoption broadening "especially in mid-sized companies and regional food processors" — which is a segment, not a rounding error.

Second trigger. Cyber, framed as production continuity rather than security. Asahi's September 2025 ransomware halted order and shipment systems and then production across roughly 30 Japanese factories, delayed launches and visibly dented profits. Manufacturing accounted for more than two-thirds of all industrial ransomware victims in 2025.

Build. Lot and batch genealogy engineered for a 24-hour recall response, riding the H1 traceability object. Pair with connected-worker execution — Poka already carries Nestlé, Tetra Pak and Mars — and IFS Cloud references at Coca-Cola and William Grant & Sons.

Honest read on growth. At 6% this is the slowest-growing sub-industry in the table, and derived F&B sizing shows vertical application software is only **5–10% of total sector IT spend** here versus ~24% in pharma. Compete on a dated regulation and an installed reference base — not on a growth story.

07 · High-tech, electronics & semis · Fastest ERP vertical · Fit 3/5 · $4.34 → $7.2bn @ 10.7%

Own capital-project-to-operations for fabs and EMS, not fab MES

Trigger. The sharpest capex upcycle in the pack. Semiconductor manufacturing equipment sales forecast at a record $165.9bn in 2026, +23.2%, reaching $229bn by 2028; wafer fab equipment $143.9bn, +23.1%; DRAM equipment $38.8bn, +39% on HBM demand. 300mm fab equipment spending goes $133bn (2026) → $151bn (2027) → $172bn (2029). SEMI's CEO: "AI is resetting the scale of semiconductor manufacturing investment." Also the fastest-growing manufacturing-ERP vertical at 10.70%.

Where IFS can actually win. Not in fab MES — semiconductor MES is sized at $0.95bn versus $3.82bn by two low-tier houses (4× gap), and the incumbents are entrenched. The winnable ground is capital project delivery → commissioning → asset handover → EAM/APM continuity for multi-billion-dollar fab builds, plus allocation-constrained planning under the component shortage the same boom is causing (LPDDR4 +70% YoY; MLCCs now the third-largest cost line in AI server BOMs). Policy reinforces it: CHIPS grants tie funding to cloud-based digital twins, and EU Chips Act traceability and sovereignty programmes are named ERP drivers.

Existing beachhead. First Solar, JVCKENWOOD and Kitron (the named IFS Loops Agent Studio reference, an EMS business) are already IFS customers. EMS is the more accessible entry than fabs: $620bn (2025) → $909bn (2031).

Timing risk. The US incentive cliff is December 2026 and there is no public record of final CHIPS awards for the 12 firms with preliminary agreements. Weight the bet toward EU Chips Act, Japan, Korea and India rather than assuming US federal money.

08 · Chemicals & process · Fit 3/5 · Do less, differently · $2.48 → $3.9bn @ 9.3%

Lead with carbon and asset economics; partner for process physics

Trigger. Not growth — a compliance and cost crisis. CBAM's definitive regime went live 1 January 2026 with real published prices (€75.36/tCO2 Q1, €75.28 Q2) and a 21-month liability accrual before payment, since certificate sales start only February 2027 and the first declaration is due 30 September 2027. EUROFER's April 2026 nine-point list says the mechanism still leaks. Meanwhile the EU's share of global chemicals fell from 21% (2009) to 13% (2024) while China rose 24% → 46%; EU capacity utilisation is 9.5pp below its 2014–19 average; gas is still 3× US; and 49% of European chemical closures name energy cost.

Build. Be the carbon and CBAM ledger of record — where the emissions data comes from operational execution rather than a questionnaire, which is exactly what IFS Zero shipped in 26R1 — plus EAM/APM for ageing, under-utilised brownfield plant, and energy-contract and decarbonisation-capex planning via Copperleaf.

Partner, do not build. Process simulation and physics-based failure models. AspenTech's own APM launch PR concedes it needs "deep integration with enterprise asset management systems" — it has no ERP, no FSM and no work-order system of record. That is a partnership shaped exactly like the AVEVA one. Note also that AspenTech is slow: Emerson's Control Systems & Software grew 7.1% against IFS ARR at 25%.

Caveat to state openly. This is the weakest-sourced sub-industry in the pack — no Gartner, IDC or LNS sizing exists and both CAGR sources are low-tier. Also, energy cost cuts both ways: DSAG's chairman explicitly names energy prices as a reason ERP investment is being postponed.

09 · Life sciences & pharma · Fastest growth · Fit 2/5 · In-or-out decision · $2.48 → $4.6bn @ 13.0%

Enter narrowly through equipment qualification — or stay out on purpose

Why it demands a decision. Fastest-growing software vertical in manufacturing at 11.2–15.5%, and the only one where every independent house agrees on high growth. Pharma MES $2.37bn (2025) → $4.62bn (2030) at 14.3%; life-sciences QMS $3.7bn → $10.1bn at 13.8%. And it has the best addressability ratio in the pack: regulated life sciences spends roughly 24% of its IT budget on compliance-grade application software versus ~5–10% in F&B. That ratio, not sector size, is the best predictor of software addressability. On-premise still held the largest MES share as recently as 2023, so the cloud runway is real.

Why fit is weak. IFS has no published validated-GxP story, no serialisation product line and no named pharma manufacturing reference in FY2025 or H1 2026 disclosures. Siemens just paid $5.1bn for Dotmatics to own life-sciences R&D, and the compliance surface is deep: GMP/GAMP, 21 CFR Part 11, DSCSA, EU FMD, ISO 13485, MDR/IVDR. A full pharma MES push would be a multi-year build against entrenched specialists.

Recommended. A narrow, defensible entry: equipment qualification, calibration and validated-state maintenance. IQ/OQ/PQ status, calibration intervals, change control and validated-configuration history are EAM objects IFS already models, and they carry the same statutory-retention shape as the H3 Machinery Regulation build. That is reuse, not a new vertical.

Or. Decide explicitly not to enter, and say so. The failure mode is a half-funded pharma push that neither wins regulated accounts nor frees capital for bets 01 and 02. An explicit "no" is a legitimate outcome of this session; drift is not.

The GTM wedge — a closing window, not a permanent advantage

The wedge. SAP's ECC customers must move, cannot get AI without moving to cloud, and increasingly do not trust the destination. Business Suite 7 mainstream maintenance ends 31 Dec 2027, extended to 2030 at a premium. Gartner says over 60% of SAP customers remain on ECC6 on-premises with no decision to move and ~40% will still be on ECC in key areas by 2030. In DACH, 54% are still on ECC and roughly half will not move before 2030.

Meanwhile Joule requires shifting at least 50% of maintenance spend to cloud; 77% of SAP customers running AI in production run it on non-SAP; 62% do not plan against SAP's vision; 28% are cutting SAP budgets; and only 10% are at enterprise-scale AI.

The differentiated claim — composite, not financials-first. An ECC migration is usually scoped as a financials and core-ERP replacement. IFS's claim is that asset, service and project execution belong in the same replacement decision — and SAP's own asset/service estate is mid-consolidation while that decision is being made: five products (MRS, FSM, RSH, C4P RM, MSO) are merging into SAP FSA, MRS sunsets 31 Dec 2030, two parallel vocabularies are in play, and ERP integration only reaches GA in Q4 2026. DSAG publicly called MRS re-licensing "unacceptable."

Objection handling — get this right. The actual Panorama 2026 report says over 25% of organisations exceeded budget and almost a quarter exceeded schedule, on a 9-month median timeline, with "additional technology needs" the leading cause — attributed to fatal misfits discovered late. That finding is the argument for scoping asset and service in from the start. The widely circulated "189% average overrun / 215% in manufacturing / 73% of discrete projects fail" figures are NOT in the report and must never be used.

Geographic weighting — run the wedge hardest in EMEA. DACH has the highest documented ECC concentration, Europe is the largest region for ESG software at 34.9%, and the regulatory forcing functions (Machinery Regulation, CBAM, DPP, CSRD, NIS2) are European. North America's manufacturing capex has reversed and the incentive cliff arrives Dec 2026.

Why it is a window, not a moat. Every ECC account that migrates is removed from the pool permanently. The 2027–2030 stretch is the whole opportunity, which is exactly the FY27–29 horizon this session is setting. Also note there is no credible public ERP win-rate or displacement dataset — not from Gartner, IDC, Panorama or Third Stage. Any win-rate number used in the session must come from IFS's own CRM.

Two competitor research findings that are free ammunition. Rockwell (n=1,560, 17 countries): 93% of manufacturers have MES, but only 28% enterprise-wide and only 23% fully integrated across ERP, PLM, quality and OT — and 44% rank integration as the top MES buying requirement. Salesforce's own July 2026 research: only 16% of field service organisations have field and back-office technology on a single platform; 61% say mobile workers have limited access to needed data; 52% still use spreadsheets for asset data. Both are published by competitors and both argue IFS's composite case better than IFS marketing does.

Part 4 · Regional focus

Three regions, three different reasons to invest

None of the three offers a clean "rising tide" growth story right now — each requires a different GTM motion, which is what should drive staffing and enablement rather than a single global playbook.

US · reshoring capex, thin IFS footprint. ISM Manufacturing PMI 55.6 (Jul 2026), 7th straight month of expansion, strongest since May 2022, with 15 of 18 industries expanding. Manufacturing capex projected at $774bn in 2025, up from $576bn in 2019, driven by reshoring plus 100% bonus depreciation through 2029. But this is tariff-and-policy-driven capex, not a productivity or software cycle — worldwide IT spend growth (+14.2%, Gartner) is the only figure available; no US-specific software growth number was found.

Europe · regulation-led, not capex-led. IDC explicitly and repeatedly flags European manufacturing, automotive and chemicals as the cautious verticals for IT spend. No credible Europe-wide manufacturing IT growth percentage exists — a circulating "6.3% / €1.5trn" figure could not be confirmed against a Gartner primary release. IFS's European growth cannot rest on a rising manufacturing-capex tide. It has to be an asset-intensive, service-intensive, AI-outcome and displacement story — exactly what the SAP ECC wedge argues.

APJMEA · giga-project and policy money, thin partner bench. MENA IT spending forecast at $169bn in 2026, +8.9%; Australia at A$172.3bn, +8.9% — both real growth signals, not capex proxies. Saudi PMI swung from a five-year contraction low of 48.8 to 56.4 inside a single year. Japan's Tankan large-manufacturer sentiment is at its highest since 2018. But partner and delivery capacity is visibly thinner than in Europe or the US in every APJMEA cluster researched — that is a staffing and enablement gap, not a demand gap.

PMI methodology caveat, stated deliberately: these indices are not built the same way — ISM (US) and Riyad Bank (Saudi) are not S&P Global panels, so absolute levels should not be cross-compared as one series. What is comparable is direction. Poland has been below 50 for 15 consecutive months despite GUS reporting +6.4% output growth — a policy-and-defence-driven expansion the PMI panel (which over-samples export-facing SMEs) is not capturing. France just re-entered contraction.

Cluster profiles

Focus tiers, rebuilt on two axes only: market growth and current footprint

The previous cut mixed growth, demand drivers, regulatory forcing functions and partner capacity into one judgment call. This version weights only two things — how fast the cluster's manufacturing base is actually growing, and how much share IFS already holds there — because those are the two inputs that most directly answer a staffing question.

How each score was built. Growth is a 1–5 translation of the momentum evidence above: industrial-production trend where available, GUS/ISM/Tankan readings, direction of capex. It is not a single analyst figure, because none exists that is comparable across all nine clusters. Footprint is a 1–5 translation of named IFS customer references found in this research plus the competitive dossier, cross-checked. No audited regional market-share figure exists for IFS or any competitor at this granularity — named-reference density is the best available proxy, not a substitute.

Three references (Drydocks World in the Middle East; JVCKENWOOD / ShinMaywa / Japan Airlines in Japan) were found only by cross-checking the regional research against the competitive dossier. The initial single-pass regional research missed them — which is itself a reason to treat any "zero footprint" claim with caution rather than at face value.

Compound · high growth, high footprint — Nordics, Poland + CEE. The market is growing and IFS already holds real share. Headcount and named-account coverage pay back fastest here because the enablement and reference-building work is largely done. Highest confidence tier — both axes agree.

Build · high growth, low-to-moderate footprint — Japan, US, Middle East. The market is doing the work; IFS's share is not proportionate. Spend should go toward partner enablement and reference-account creation before broad headcount expansion — the constraint is proof and delivery bench, not pipeline. Japan's NEC channel and the Middle East's SBM partnership are the fastest paths to a real base; the US visibility gap is the least explained by any structural barrier and is worth a deliberate root-cause look.

Defend · low-to-moderate growth, high footprint — UK & Ireland. The largest named-customer base in the pack sits in a market growing only modestly. Account-based expansion and defence, not new-market GTM spend — protect and grow within the 62 named accounts.

Deprioritise — DACH, Australia, France. Neither axis argues for new investment right now. This is the tier most worth debating in the room, not accepting silently — DACH carries the sharpest dated forcing function in the entire pack (54% of DSAG members still on ECC) and is the largest single manufacturing economy in Europe. On growth and footprint alone it does not lead; on the SAP-displacement argument it still might.

The reweighting changes the answer — say so out loud. Under the previous multi-factor tiering, DACH sat in Tier 1 because of its SAP ECC displacement window and its scale. Under growth and footprint alone, it falls to the lowest-priority quadrant, because its manufacturing output is contracting even though sentiment is positive. Both readings are correct — they are answering different questions. Growth and footprint tell you where a self-sustaining GTM motion already exists. They do not capture a one-off, dated forcing function like an ERP maintenance cliff. If the room wants DACH prioritised because of challenge #3, that should be a deliberate override of this quadrant, not an assumption carried over.

Region × sub-industry fit — where to point named accounts

Three of nine rows have zero named footprint — this is the real whitespace map. Automotive & mobility (DACH/Poland), chemicals & process (DACH/France), and life sciences & pharma (DK/IE/CH) show no named IFS reference at all in either the regional research or the competitive dossier. All three are named as strongest or fastest-growing pools in their clusters. Two readings are both defensible and the room should pick one deliberately: these are the biggest greenfield opportunities in the regional cut, or they are the biggest proof-point risk if pursued without a reference customer to anchor the pitch. Either way, do not assume footprint exists just because the market opportunity does.

Sharpening the life-sciences decision: Denmark alone is a concentration of pharma manufacturing unlike anywhere else in the pack, and it sits inside a region IFS already knows well. If life sciences is entered at all, Denmark — not a broad pan-European push — is where the evidence says to start.

Enablement backlog — what GTM has to be ready for, by date

Language coverage. IFS Cloud already ships roughly 20 languages, so the product gap is small. The GTM and support gap is different: Nordics alone needs four distinct languages (Swedish, Norwegian, Danish, Finnish — high English proficiency does not substitute for business and legal documentation), plus German, French, Polish, Arabic, Japanese. English-only covers UK&I and Australia and nothing else. Minimum credible set: EN, FR, DE, PL, SV, NO, DA, FI, AR, JA.

Partner capacity — the real staffing signal. The bench is uneven, and it is thinnest exactly where demand is accelerating fastest. Middle East: only one strategic partner (SBM) covers Saudi; smaller GCC markets (Kuwait, Bahrain) are planned as distribution-only. Japan: the NEC partnership is real but the wider implementation bench is thin relative to Western Europe. Australia: named partners are explicitly smaller-scale than the SAP/Oracle/Microsoft ecosystem. DACH and Nordics have the healthiest documented partner ecosystems (Xitricon, Capgemini, Accenture, Addovation).

What this means for staffing, directly. Regions combining strong demand with thin delivery capacity — Middle East and Japan — should get GTM investment in partner enablement and reference-account creation before headcount, because the constraint is proof and delivery bench, not pipeline. Regions with strong demand and strong existing capacity — DACH and Poland+CEE — are where direct headcount and named-account coverage pays back fastest. UK&I's large installed base with weak market-sizing evidence argues for account-based expansion staffing rather than new-market GTM spend.

Governance

Seven decisions to force in the room

Each of these changes the answer to something else in this pack. None can be resolved by more desk research.

Worth commissioning — genuine gaps no amount of web research will close

1. Named industrial OEM service-revenue-mix targets (ABB, Siemens, Atlas Copco, Sandvik, Konecranes, Wärtsilä, Caterpillar, Rolls-Royce TotalCare penetration) — needs investor-relations documents and capital-markets-day decks, not search. Highest-value missing input for the servitization GTM narrative in bet 01.
2. Field service KPI benchmarks beyond first-time fix — technician utilisation, cost per truck roll, scheduling-optimisation gains; BCG measured these for top performers but publishes no values.
3. A defensible data-readiness statistic for manufacturing — and note that S&P found cost and privacy topping the obstacle list, not data quality, so this should be probed rather than assumed.
4. Forecast-accuracy benchmarks (MAPE/WMAPE), stockout rates and OTIF for 2025–26 — nothing credible exists publicly, and this is the missing quantitative anchor for the planning business case in challenge #2.
5. A real revenue-band cut of manufacturer counts from SUSB or D&B, because no source segments manufacturers by revenue band.
6. Named manufacturing AI case studies with hard, independently verifiable ROI, to convert challenge #10 from a posture into proof.

Do not use — statistics circulating in this market that are stale or fabricated

Roughly a third of the numbers used in industrial software marketing are either years out of date or have no traceable primary source. Dating a statistic honestly consistently increases credibility against competitors quoting the same number naked.

Most likely single trap in a strategy deck. Panorama "189% average budget overrun," "215% in manufacturing," "73% of discrete manufacturing projects fail," "68% overall failure rate" — these are NOT in the actual Panorama 2026 ERP Report. The primary PDF was read in full: it reports only that over a quarter exceeded budget and almost a quarter exceeded schedule, on a 9-month median timeline. The inflated figures originate on a third-party blog. Likewise "68–75% of ERP projects fail" is not traceable to any primary Panorama or Gartner publication.

Also unresolved as of 12 August 2026 — check before external use

• The SAP extended-maintenance surcharge percentage — the "+2 percentage points" figure appears only on third-party sites; SAP's own maintenance pages returned empty bodies.
• The exact CBAM HICP-indexed penalty per tonne for 2026 — the formula is verified (€100/t indexed) but the indexed value is not published. Quote it as "€100/t indexed", never as a figure.
• Expected CBAM cost per tonne of steel — no sourced figure exists; any number would be our own arithmetic.
• Average S/4HANA migration cost and duration from a named analyst — not found from Gartner, IDC or Forrester.
• NIS2 transposition status country by country — only Germany's ~29,500-entity figure is documented by a regulator. Do not put a 2026 date on NIS2 for any specific country without checking it.

IFS Core Product Strategy — Manufacturing Evidence Pack. Prepared for the R&D and GTM core product strategy session. Cited figures carry a named source and URL in the source pack. Derived and estimated figures are labelled with their arithmetic. Gaps are stated as gaps rather than filled with plausible numbers.

Internal · Strategy Input · 12 August 2026 · Horizon FY2027–FY2029