“SprintlyWorks helped us get there fast and clear”
The acquisition we told them not to make
Eight weeks to find out whether there was anything worth buying
Most of the world's paper starts as wood. A smaller share starts as something that grew last season and would otherwise be burned: wheat and rice straw, sugarcane bagasse, bamboo, reed. Pulping those is a different business from pulping wood. The fibre is shorter, the silica content is punishing, and the equipment that handles it is not the equipment that handles a log.
Eight weeks, four phases. Two weeks to size the market, two and a half to map the customers and what they need, two and a half to find and evaluate the equipment makers, one to put it in front of the leadership team. The deadline did not move.
Our client builds that equipment. It is a global pulp and paper machinery group with a complete portfolio for wood fibre and an incomplete one for everything else. Its customers in Asia were pulping straw and bagasse and bamboo, buying the parts of the line the client could supply and buying the rest from someone else.
The proposition on the table was to buy that someone else. Acquire a regional equipment maker with agro-pulping references, inherit the technology and the customer relationships, and close the gap in one move. A long list of candidates already existed internally.
The question the client asked was which of them to buy. The question underneath it, which nobody had answered, was whether the market was worth buying into at all.
There is a great deal of data, and none of it is the number
Agricultural residue is one of the best measured commodities on earth. You can find, for any large producing country, how many million tonnes of straw and bagasse and empty fruit bunches it generates each year. That data is abundant, free and completely useless for this question.
Feedstock availability is not production, production is not capacity, and capacity is not equipment spend. Three gaps, and every one of them has to be crossed deliberately.
What it does not tell you is how much of that residue is pulped, how much pulping capacity exists, how old that capacity is, or what anyone spends on the machinery. There is no published market for agro-pulping equipment, because it is not a category anybody reports.
There is a second problem that is specific to this industry. Roughly three quarters of the mills involved run blended systems: some agricultural fibre, some wood, some recovered paper, in proportions that change with the price of each. There is almost no such thing as a pure agro-pulp mill, so there is almost no such thing as a clean agro-pulp number. Everything has to be apportioned, and the apportionment has to be stated.
Four feedstocks, three countries, one formula
The scope was fixed in the first week and not widened afterwards: bamboo, sugarcane bagasse, wheat and rice straw, and reed, in China, India and Indonesia.
The scorecard, and what it weighted. Technology capability 40 per cent, revenue scale 35 per cent, depth of agro-pulp references 20 per cent, and ownership structure 5 per cent. Ownership carries the smallest weight and the largest veto: a company that will not be sold scores well on everything and is still not an acquisition.
Build the equipment number from the pulp volume, not from the industry
One formula, applied identically in every country, so that the answer could be checked line by line rather than believed. It is set out in the first finding.
Triangulate the volume with people who run the mills
Trade statistics and industry reports gave the baseline. Five expert interviews tested it. Twenty interviews with production managers at potential customer mills established what they run, what they are building, and which equipment they find hard to buy.
Map the production chain end to end, then map the client onto it
Seven process stages, thirty-six pieces of equipment, and an honest mark against each one for whether the client could supply it today.
Screen twenty-one suppliers down to three
A long list from desk research, databases, trade exhibitions and the client's own file, filtered first on whether their agro-pulp references stood up to expert scrutiny, then scored on four weighted criteria.
Size it at the equipment, or you are sizing something else
There is no published figure for what the world spends on agro-pulping machinery, so it had to be built. The formula was fixed before any data went into it, and applied identically in every country.
How the market number is built
Applied per country and per feedstock, then summed
| Term | What it is | Value used |
|---|---|---|
| Pulp volume | Annual tonnes of non-wood pulp produced, by country and feedstock | From production statistics, triangulated in interview |
| Capital cost per tonne | Total capital cost of building a tonne of annual capacity | €530 per tonne in China, €270 in India |
| Equipment share | Proportion of that capital cost which is machinery rather than civils, engineering and the rest | 25 per cent, the client's own internal rate |
| Equipment lifetime | Years before a line is replaced, which turns a stock into an annual flow | 15 years, from expert interview |
The Indian capital cost is adjusted for purchasing power, divided by 2.2 against IMF and World Bank data, because local suppliers price locally.
A market size that cannot be taken apart is not evidence. It is an assertion with a currency symbol in front of it.
Every one of those four terms is arguable, and that is the point: they are visible, so they can be argued with. A number handed over as a single figure cannot be. When the client's leadership challenged the outcome, the conversation was about the equipment share and the replacement interval, which is a productive argument, rather than about whether the number was real.
What the equipment is worth, and where
Annual addressable spend on agro-pulping equipment in Asia Pacific, in € million
SprintlyWorks analysis from pulp production volumes, capital cost per tonne and equipment lifetime. 2030 is a projection.
Rest of APAC is an assumption, set at 10 per cent of the regional total. It is not a measured figure and is shown separately for that reason.
The answer was €57 million a year across the region in 2024, growing to about €63 million by 2030. That is a compound rate of roughly 2.6 per cent, and in absolute terms it is under €7 million of additional annual spend spread over six years and three countries.
For a machinery group of this size, that is not a market you buy a company to enter. It is the single most consequential finding in the study and it arrived in week two.
The value is flat because the volume is falling
A flat equipment market usually means a stable industry. Here it means something less comfortable. The value holds up while the underlying production shrinks, because one feedstock is growing fast enough to offset the collapse of the others.
The pulp itself is shrinking
Non-wood pulp production in China by feedstock, in million tonnes
FAOSTAT; client expert interviews; SprintlyWorks analysis.
Compound annual growth 2015 to 2024: bamboo +7 per cent, other +2 per cent, bagasse -4 per cent, straw -10 per cent, reed -19 per cent.
What this does to an acquisition case. A supplier whose references are in straw has references in a segment losing ten per cent a year. The reference base has to be read by feedstock, not by count, and that is not how supplier long lists are usually assembled.
China's non-wood pulp production fell from 6.8 million tonnes in 2015 to just over 5 million in 2024. Straw lost two thirds of its volume. Reed lost four fifths. Bagasse declined steadily. Bamboo grew by 7 per cent a year and now accounts for more than half of what remains.
The reason is the same in each case, and it is economics rather than policy. Agricultural fibre carries silica, silica has to be removed, removal costs money, and when wood is cheap the mills convert to wood. Several of them did exactly that. The mills that stayed are the ones where the feedstock advantage survives the silica penalty, and for now that mostly means bamboo.
One country, one province, a handful of mills
Concentration compounds the size problem. China is about three quarters of the regional equipment opportunity, €41.8 million of the €56.8 million total in 2024. Inside China the growth is bamboo, and bamboo is not spread across the country.
Where the mills actually are
Chinese agro-pulp mills by feedstock, regional concentration and outlook to 2030
| Feedstock | Mills | Regional concentration | To 2030 |
|---|---|---|---|
| Bamboo | 12 | 75 per cent in one province | Growing, about +0.6 million tonnes |
| Straw | 9 | 85 per cent in one province | Declining, mills closing |
| Bagasse | 12 | 91 per cent in one province | Marginal, about +0.1 million tonnes |
Mill mapping by SprintlyWorks from production data, project announcements and expert interviews. Provinces are not named here.
Thirty-three mills in total, in three provinces, and within the growing segment the top four mills control around 60 per cent of capacity. The addressable customer set for an acquired supplier is not a market. It is a list you could fit on one page, and the client already sells to some of them.
That cuts both ways. It makes an acquisition harder to justify, because the customer relationships being bought are few and already partly held. It also makes the alternative easier, because a customer set that small can be approached directly.
India is a bolt-on, and the reason is not price
India is the second market and it is small: €9.3 million a year, essentially flat since 2020, growing to about €10.6 million by 2030. Bagasse leads, wheat straw follows, bamboo is negligible. Capacity utilisation runs in the high seventies to high eighties, so there is no idle capacity waiting to be modernised.
The preference for local suppliers is structural, not budgetary. It survives the client winning individual components on merit.
Three mill projects were tracked in detail, adding around 350 thousand tonnes of capacity to bagasse and straw between 2027 and 2028. What they are buying is instructive. One is buying a screen room and sourcing the rest locally. One is buying a single washing line. One is buying cooking technology and a screen room. In every case the majority of the line goes to a local supplier or comes second hand.
This is the finding that turns India from a target market into a relationship question. A supplier there brings customer access the client does not have. It does not bring a market large enough to justify buying the company for its revenue. If a deal happens in India it is for the door, not for the room behind it.
A hundred and fifty million tonnes of feedstock and no market at all
Indonesia was in scope because on paper it looks like the obvious opportunity. It generates roughly 150 million tonnes of agricultural residue a year: empty fruit bunches from palm oil, rice straw, bagasse. Empty fruit bunches alone have grown at 7 per cent a year for a decade.
Why this belongs in the report rather than in a footnote. Indonesia is the clearest available demonstration that feedstock availability tells you nothing about equipment demand. Anyone sizing this market from residue statistics would have put Indonesia at the top of the list. It belongs at the bottom, and the study says so with the reason attached.
It has no commercial agro-pulp production. None. Four mills tried and all four have closed or converted to something else.
The reason is that Indonesia is one of the cheapest places on earth to grow plantation wood, and the same integrated groups own the plantations and the mills. Agricultural fibre has to beat wood on delivered cost inside a business that already owns the wood, and it does not. Around 62 per cent of the empty fruit bunches and 70 per cent of the bagasse are burned for energy instead, which is a real market, just not this one.
Twelve suppliers scored, and three gaps that actually matter
The supplier work ran in parallel with the market work, on the assumption that it might turn out to be unnecessary. It was still worth doing, because it answered a different question: what exactly is missing.
Twenty-one suppliers down to three
Each step removes candidates for a stated reason, so the shortlist can be argued with
Every equipment maker identified from desk research, industry databases, trade exhibitions and the client's own internal list.
Each supplier's claimed agro-pulp experience put to industry specialists in interview. Ten dropped out here, because a claim on a website is not a reference project.
Twelve suppliers scored on four weighted criteria and taken to a workshop with the steering committee. Three carried forward for deep evaluation.
SprintlyWorks screening, validated with the client's steering committee.
The step that removed the most candidates was not the scorecard. It was putting each supplier's claimed agro-pulp experience to industry specialists and asking whether the reference projects were real. Ten of twenty-one did not survive that. A capability claim on a website is not a reference, and in a small industry the people who run the mills know which is which.
How the twelve scored
Weighted score out of four. Technology capability 40 per cent, revenue scale 35 per cent, agro-pulp references 20 per cent, ownership 5 per cent.
SprintlyWorks scorecard, built from desk research, financial filings and expert interviews.
Suppliers are not named. Three of them were evaluated as acquisition candidates and naming any of them would identify the client's intentions and theirs.
Three suppliers separated clearly from the rest, two of them in China and one in India. Below them the scores fall away quickly, and the bottom four have effectively no credible agro-pulp presence at all.
The more useful output was the technology map. The agro-pulping line was broken into seven stages and thirty-six pieces of equipment, and the client's own portfolio marked honestly against each one.
Where the client could already supply, and where it could not
Thirty-six pieces of equipment across the seven stages of an agro-pulping line
Process chain mapped by SprintlyWorks from technical literature and expert interviews, then marked against the client's own portfolio.
Sixteen of the thirty-six were gaps. The bar shows what was already covered.
The client could already supply twenty of the thirty-six. Bleaching and drying was complete. Recovery and waste management was almost complete. The gaps were not spread evenly across the line: they cluster in three places, and all three are specifically about handling fibre that is not wood.
Pre-treatment, where nothing was covered at all
Stone catching, depithing, pith pressing, wash water classification. Five pieces of equipment, five gaps. This is the stage that exists because the feedstock arrives with soil, sand and pith in it.
Continuous cooking for non-wood fibre
The client sells batch digesters and one chemistry. The continuous digester used for straw and bagasse, and the alternative chemistry that goes with it, were both missing.
Silica and ash handling
One piece of equipment out of thirty-six, and the one the mills raised most often. Silica is the reason this fibre is difficult and the reason mills convert away from it.
Do not buy anything yet
The client asked which supplier to acquire. The answer was that acquiring one would be buying a €57 million market at the top of the cycle in order to fill sixteen equipment gaps, three of which matter, in a segment where the underlying pulp volume is falling everywhere except one province.
What the shortlist is still for. Three suppliers were evaluated in depth and that work does not go to waste. It becomes the partner list rather than the target list. The scoring, the ownership analysis and the reference validation are the same evidence, read for a different purpose.
The recommendation was to enter by another route, in this order.
Test how much the three gaps actually cost you
Go to the mills and ask directly how often continuous non-wood cooking, pre-treatment and silica handling decide a purchase. If they are rarely decisive, the gaps are an inconvenience. If they are usually decisive, they are the whole reason the client loses these lines, and that changes the value of closing them. This question had not been asked and it is cheap to answer.
Build the references by partnership or fabrication, not by purchase
A reseller or fabrication arrangement with a supplier who already has credible projects buys the reference base without buying the company. In a market this size, the reference base is most of what an acquisition would have delivered.
Build the internal expertise deliberately
Non-wood pulping is a different technical discipline, not a variant of the existing one. If the client intends to be in it for a decade, the knowledge has to sit inside the company whichever route it takes to market.
What this study could not settle
Two internal inconsistencies in the source material. The regional summary describes China as 85 per cent of the opportunity where the underlying chart supports about 74 per cent, and quotes an Indian equipment opportunity of about €14 million against a chart value of €9.3 million. The chart values are used throughout this page, because they are the ones that can be reconstructed from the method.
The market size rests on four assumptions, and two of them are single figures
Equipment share of capital cost and equipment lifetime were each taken as one number applied everywhere. They are the client's own internal rate and an expert estimate respectively. Both are reasonable and neither was tested against a range.
The rest of Asia Pacific is an assumption, not a measurement
Countries outside the three studied were carried at ten per cent of the regional total. That is a placeholder and the exhibit says so.
One Indian volume figure is stale
The 2024 Indian pulp volume was carried at the 2020 level because a more recent figure could not be sourced. It affects a market already established as small, but it is stated rather than smoothed over.
No customer had been asked about the technology gaps
The gaps were established from the process map and the client's own portfolio. Whether they decide sales is the first recommendation precisely because the study could not answer it.
What the numbers rest on
| Layer | What it provided | Principal sources |
|---|---|---|
| Production volumes | Non-wood pulp production by country and feedstock, 2015 to 2024, and the feedstock availability base | FAOSTAT; national statistics offices; industry associations; published academic work |
| Market sizing | Annual addressable equipment spend by country to 2030, from volume, capital cost per tonne, equipment share and lifetime | Industry reports; client internal rates; five expert interviews; IMF and World Bank purchasing power data |
| Mill map | Mill counts, regional concentration, utilisation, announced expansions and closures | Project announcements; sector press; expert interviews |
| Customer requirements | Current production setups, expansion intentions and technology specifications required | Twenty interviews with production managers at potential customer mills, against a questionnaire validated with the steering committee |
| Process and coverage map | Seven stages, thirty-six pieces of equipment, and the client's coverage of each | Technical literature; supplier documentation; expert interviews; client portfolio data |
| Supplier evaluation | Twenty-one suppliers reduced to eleven on validated references, then twelve scored on four weighted criteria | Desk research; industry databases; trade exhibitions; company filings; expert interviews; steering committee workshop |
Interviewees are not named. The mill production managers took part on the understanding that their participation was confidential.
Every market figure on this page can be rebuilt from the formula in the first finding and the volumes in the second. Where a figure is an assumption rather than a measurement, it is labelled as one on the exhibit where it appears.
On anonymity. The client is not named. Neither is any of the twenty-one suppliers screened, the three evaluated in depth, the mills interviewed, nor the provinces where the production concentrates. Three suppliers were assessed as acquisition candidates and one of them was assessed as an entry route: naming any of them would disclose both the client's intentions and theirs. The method and every figure are reproduced in full.
Have a similar requirement?
Contact us today to learn more about on-demand workforce and accelerate development on your most pivotal projects!
Featured Case Studies
Accelerating Success for Enterprises in 20+ Geographies

Launch Your Sprint with
Download the full report
Enter your email to access this exclusive case study.



