Detailed global survey results show a decline in translation and localization prices
Demand for language services keeps climbing at more than 13% a year. Prices keep falling. Those two sentences should not sit next to each other, and yet research from Common Sense Advisory found exactly that pattern across a detailed global survey of 651 language service providers and freelancers in 75 countries, covering their pricing structures, processes and customer bases.
The gap between rising demand and falling translation rates is not a paradox. It is the signature of a market where supply grew faster than demand, technology absorbed a chunk of the work, buyers got tougher, and a weak economy gave them the confidence to push.
Four forces, one direction
The survey identifies the net result of global supply, advances in technology, economic troubles and more aggressive buyers. Each deserves its own sentence, because they do not act the same way.
Global supply is the blunt one. Broadband reached translators in countries with radically different costs of living, and a client in Frankfurt can now hire in Manila as easily as in Munich. Technology is subtler, because it does not simply undercut human work, it changes what the client is paying for. Economic trouble supplies the pressure. Aggressive buyers supply the mechanism, in the form of procurement teams who now know what to ask for.
Note what the survey did not find. It did not find shrinking demand, dying budgets or clients giving up on other languages. Volume grew. What collapsed was the price attached to a word, and a per-word price is a peculiar unit to sell in a trade where the difficulty of a word varies by a factor of fifty depending on where it sits.
The 48% number
The most concrete finding concerns automation. Businesses can obtain substantial cost savings by working with providers that partially automate the process, and the survey put a figure on it: most providers discount the per word price by as much as 48% when using translation memory to process previously translated text.
Nearly half the price, gone, on repeated content. For a company translating a product catalogue where 60% of the segments recur from last year's edition, that discount is the difference between a viable localisation budget and a shelved project.
Machine translation with human post-editing generates even larger savings. That is where the harder conversation begins, because post-editing pays by the hour or by a reduced per-word rate, and the translator absorbs the risk that the raw output is worse than promised. A good engine on clean technical text makes post-editing profitable. A bad engine on marketing copy makes it a punishment.
Why the discount is not a discount
Here is the part buyers routinely misread. A translation memory discount is not generosity. It reflects work that genuinely was not done, because the segment was translated once and reused. The provider still has to check that the reused segment fits its new context, which is why the discount is 48% rather than 100%.
Push past that and quality goes first, quietly. A fuzzy match reused without review reads fine in isolation and wrong in place. The famous failures in document translation services almost never come from a translator not knowing a word. They come from a recycled sentence that was correct somewhere else.
Less than half give discounts at all
Despite the pressure, only 42% of respondents give any discount based on customer loyalty, frequency or volume. That leaves a majority holding the line on headline rates, which tells you something about how thin the margins already are.
Price anxiety, meanwhile, is close to universal. Respondents overwhelmingly reported price pressure and client sensitivity driven by competition from large LSPs and from low-cost, sometimes unqualified translators, both at home and abroad. The word "unqualified" is doing heavy lifting there. Suppliers are not merely complaining about cheaper rivals. They are complaining about rivals whose output the buyer cannot evaluate, because the buyer does not read the target language.
What buyers should take from this
- Ask how the discount is calculated. A provider who cannot explain their fuzzy match grid is not running a memory, they are running a spreadsheet.
- Own your translation memory. It is your asset. If the vendor keeps it, your leverage disappears the moment you try to switch.
- Separate content by risk. Post-edited machine output is fine for a support knowledge base and dangerous in a contract.
- Do not benchmark on price alone. The cheapest bid usually reflects a shorter process, not a smarter one.
- Budget for review. The savings on the translation line get eaten by the recall if nobody checks.
The squeeze from both ends
For suppliers, the survey describes a vice. Rates compress from below through low-cost competition and from above through large LSPs able to win on procurement terms alone. The escape routes are narrow and well known: specialise in a domain where being wrong is expensive, add services the machine cannot supply, or accept volume work at industrial margins and build the process to survive it.
None of this is new to anyone reading the trade forums. The rate debate has run continuously on r/TranslationStudies for years, and the arc of the argument is consistent: the linguists who thrived did not win a price war, they left it. Official employment data supports the same reading. The US Bureau of Labor Statistics continues to project growth for interpreters and translators, but the growth is concentrated in specialised and regulated work, precisely the segments where a 48% discount on recycled text is beside the point.
Demand is up. Price is down. Both will stay true until buyers start paying for the part of the job that automation cannot touch.