Research · Statistics

Translation and localisation industry statistics, 2026

Market size, how buyers react to language, app store reach, and what translation platforms charge. Every figure links to its source, and the app localisation numbers come from our own measurement of 338,859 shipped UI translations in 27 languages.

Updated . Each statistic has its own link, so you can cite it directly.

$72.6bn
Language industry size, 2025
76%
Online shoppers who prefer their own language
49.5%
Websites with English content
+28%
German UI text vs English
+32%
French UI text vs English
1 in 950
Shipped translations with a broken placeholder
01

Market size and growth

The two most-cited market sizes measure different things. Nimdzi counts the whole language industry, including interpreting and services. Slator counts the addressable market for language solutions and AI that buyers spend on.

$72.6bn

Language industry size, 2025

The global language industry was worth an estimated USD 72.6 billion in 2025, projected to reach USD 73.4 billion in 2026.

Nimdzi Insights, The 2026 Nimdzi 100, 2026

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<1%

Projected annual growth to 2030

Nimdzi projects language-industry growth of under 1% a year from 2026, reaching USD 76.1 billion by 2030 in its realistic model and USD 96.9 billion in its optimistic one.

Nimdzi Insights, The 2026 Nimdzi 100, 2026

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19.8%

Share held by the 100 largest providers

The 100 largest language service and technology providers made up only 19.8% of the language industry in 2025, and the top 10 just 9.9%.

Nimdzi Insights, The 2026 Nimdzi 100, 2026

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+1.3%

Combined growth of the top 100, 2024–2025

The Nimdzi 100 grew by a combined 1.3% from 2024 to 2025; 53 of the 100 providers grew and 22 shrank.

Nimdzi Insights, The 2026 Nimdzi 100, 2026

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$30.85bn

Language solutions and AI market, 2025

Slator values the addressable market for language solutions and AI at USD 30.85 billion in 2025, growing to USD 36.10 billion by 2031 (2.65% CAGR).

Slator, 2026 Language Solutions & AI Market Report, 2026

Slator’s figure covers buyer spend on translation, localisation, dubbing, subtitling, captions, multilingual content generation, accessibility, speech translation and real-time multilingual communication.

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02

Buyers, consumers and the web

Why localisation pays: what consumers say about language, and how unevenly content is spread across languages.

76%

Online shoppers who prefer their own language

76% of online shoppers prefer to buy products with information in their native language.

CSA Research, Can't Read, Won't Buy – B2C (8,709 consumers, 29 countries), 7 July 2020

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40%

Never buy from sites in other languages

40% of online shoppers will never buy from websites in other languages.

CSA Research, Can't Read, Won't Buy – B2C (8,709 consumers, 29 countries), 7 July 2020

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65%

Prefer their language, even if quality is poor

65% of consumers prefer content in their own language even if it is of poor quality.

CSA Research, Can't Read, Won't Buy – B2C (8,709 consumers, 29 countries), 7 July 2020

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75%

More likely to buy again with support in their language

75% of consumers are more likely to buy from the same brand again if customer care is in their language.

CSA Research, Can't Read, Won't Buy – B2C (8,709 consumers, 29 countries), 7 July 2020

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49.5%

Websites with English content

49.5% of websites whose content language can be identified use English; the next largest are Spanish (6.1%), German (5.9%), Japanese (4.9%) and French (4.6%).

W3Techs, Usage statistics of content languages for websites, 23 October 2026

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03

App and UI localisation

Store reach from Apple, plus our own measurement of shipped UI translations in 27 languages.

How much longer translated UI text runs than English

Change in visible characters, 338,859 shipped translations in Mastodon, Signal and WordPress. The thin line spans the lowest to highest of the three apps.

  1. French +32%
  2. Greek +30%
  3. German +28%
  4. Spanish +24%
  5. Italian +23%
  6. Dutch +20%
  7. Hungarian +20%
  8. Russian +17%
  9. Portuguese (Brazil) +16%
  10. Polish +16%
  11. Ukrainian +14%
  12. Finnish +12%
  13. Hindi +12%
  14. Swedish +11%
  15. Czech +11%
  16. Indonesian +11%
  17. Danish +9%
  18. Norwegian +9%
  19. Turkish +9%
  20. Vietnamese +7%
  21. Thai −1%
  22. Arabic −4%
  23. Hebrew −17%
  24. Japanese −45%
  25. Korean −46%
  26. Chinese (Traditional) −62%
  27. Chinese (Simplified) −66%

175

App Store countries and regions

The App Store serves over 850 million average weekly users across 175 countries and regions.

Apple Newsroom, study by Analysis Group, 4 June 2026

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50

App Store listing languages

App Store Connect supports localised app metadata in 50 languages, after adding 11 in March 2026, ten of them Indian languages.

Apple Developer News, 31 March 2026

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+28%

German UI text vs English

German UI strings are 28% longer than the English source on average (27–29% across Mastodon, Signal and WordPress; 13,135 shipped translations).

Original research LanguageOps UI string study, 23 October 2026

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+32%

French UI text vs English

French UI strings are 32% longer than English, the most of the 27 languages measured; 28.3% of French strings grow by more than half.

Original research LanguageOps UI string study, 23 October 2026

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+18%

Median expansion, 14 European languages

Across 14 European languages, UI text runs a median 18% longer than English, from +9% (Danish and Norwegian) to +32% (French).

Original research LanguageOps UI string study, 23 October 2026

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1 in 13

French UI strings at least twice as long

1 in 13 French UI strings and 1 in 17 German strings are at least twice as long as the English, so a layout sized exactly for English will truncate or wrap them.

Original research LanguageOps UI string study, 23 October 2026

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−66%

Chinese (Simplified) characters vs English

Chinese (Simplified) UI strings use 66% fewer characters than English, and Japanese and Korean 45–46% fewer, although each character takes more horizontal space on screen.

Original research LanguageOps UI string study, 23 October 2026

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53–65%

UI strings of 20 characters or fewer

53–65% of app UI strings are 20 characters or fewer, with a median of 16–19 characters, so most strings give translators very little text to work with.

Original research LanguageOps UI string study, 23 October 2026

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1 in 8

UI strings containing a variable

11.8–14.2% of app UI strings contain at least one variable placeholder such as %s or {name}.

Original research LanguageOps UI string study, 23 October 2026

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1 in 950

Shipped translations with a broken placeholder

About 1 in 950 shipped translations that contain a placeholder drop, add or break it (47 of 44,495), across three mature, widely translated open-source apps.

Original research LanguageOps UI string study, 23 October 2026

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338,859

Shipped translations measured

The LanguageOps UI string study measured 338,859 shipped translations of 13,682 English UI strings in 27 languages across Mastodon, Signal and WordPress.

Original research LanguageOps UI string study, 23 October 2026

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04

TMS pricing and AI allowances

Our analysis of published plans and supplied quotes for a production translation workflow.

4 of 5

Competitor TMS plans with a separate AI meter

4 of the 5 competitor TMS offers we compared (XTM, Phrase, Lokalise and Smartling) meter AI translation or AI quality checks separately from processed words; only Smartcat uses one unit, its Smartwords.

Our analysis LanguageOps TMS pricing comparison, 15 July 2026

Based on published plans and supplied quotes for XTM Cloud, Phrase, Lokalise, Smartling and Smartcat, reviewed 15 July 2026.

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15%

AI words vs processed words, Lokalise Advanced

Lokalise Advanced includes 150,000 Pro AI words a year alongside 1 million processed words, so its Pro AI allowance covers 15% of the words it lets you process, or 7.5% of a pre-translate-plus-LQA workload.

Our analysis LanguageOps TMS pricing comparison, 15 July 2026

150,000 ÷ 1,000,000 = 15%. A two-pass workload (AI pre-translation, then AI LQA) needs 2 million AI words.

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$12k–$60k+

Competitor list price, 1M-word workflow

For a 1-million-word annual workflow, competitor list prices ran from $11,988 a year (Lokalise Advanced) to over $60,000 (Smartling, whose AI translation alone starts at $0.06 a word), against £3,000 for LanguageOps Professional.

Our analysis LanguageOps TMS pricing comparison, 15 July 2026

List prices in each vendor’s own currency, not converted. Smartling’s figure is 1M words at its published $0.06 starting AI rate, before its unlisted TMS price.

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See the full TMS pricing comparison

Original research

How much longer translated UI text runs: 27 languages, three apps

We compared the English source with every shipped translation in Mastodon’s web app, Signal for Android and WordPress core: 338,859 translations of 13,682 English strings. The three apps use different formats and translation communities, yet agree within six percentage points for 17 of the 27 languages.

Translated UI text length compared with English, by language
Language All strings vs English Mastodon Signal WordPress Strings >50% longer Strings 2× or longer Short strings (≤10 chars), median Translations
French fr +32% +29% +35% +31% 28.3% 7.5% +40% 13,132
Greek el +30% +31% +33% +29% 27.5% 7.7% +44% 13,072
German de +28% +29% +29% +27% 22.1% 6% +33% 13,135
Spanish es +24% +21% +26% +24% 22% 5.6% +30% 13,262
Italian it +23% +22% +26% +22% 18.2% 4.5% +25% 13,089
Dutch nl +20% +22% +27% +17% 16.2% 4.1% +33% 12,962
Hungarian hu +20% +19% +25% +18% 20.2% 6.2% +29% 12,558
Russian ru +17% +23% +23% +14% 18% 6.3% +30% 13,355
Portuguese (Brazil) pt-BR +16% +12% +21% +14% 14.7% 3.4% +25% 12,723
Polish pl +16% +12% +24% +12% 16.7% 5.4% +29% 13,018
Ukrainian uk +14% +13% +18% +12% 18.5% 6.4% +33% 11,690
Finnish fi +12% +14% +13% +11% 14.8% 4.8% +25% 13,327
Hindi hi +12% +9% +17% +8% 12.8% 4.5% +11% 10,236
Swedish sv +11% +8% +13% +10% 8.9% 2.4% +12% 13,217
Czech cs +11% +9% +11% +11% 12.8% 4.2% +25% 13,163
Indonesian id +11% +13% +14% +8% 10.2% 3.2% +20% 11,217
Danish da +9% +7% +12% +8% 6.9% 1.9% +11% 12,585
Norwegian nb +9% +7% +12% +8% 8% 2.1% +11% 12,588
Turkish tr +9% +16% +9% +9% 11.8% 3.8% +20% 13,318
Vietnamese vi +7% -2% +11% +7% 11.9% 3.5% +17% 12,663
Thai th -1% -2% +4% -5% 9.2% 2.8% +17% 9,315
Arabic ar -4% -5% +3% -7% 8% 2.8% +10% 13,139
Hebrew he -17% -17% -14% -19% 2.7% 0.8% 0% 10,639
Japanese ja -45% -46% -44% -45% 0.2% 0.1% -40% 12,827
Korean ko -46% -47% -44% -46% 0.3% 0.1% -50% 12,846
Chinese (Traditional) zh-TW -62% -63% -64% -60% 0.5% 0.3% -56% 12,383
Chinese (Simplified) zh-CN -66% -65% -65% -66% 0.1% 0.1% -60% 13,400

Sorted by expansion. “All strings” compares total characters; the short-string column is the median ratio for English strings of ten characters or fewer. Download as CSV.

What we measured

AppFormatEnglish stringsWith a variable≤20 characters
Mastodon (web app)131aabcaf1f1, 23 October 2026 JSON, ICU messages 1,520 14% 64.6%
Signal (Android)16f138410a4a, 22 October 2026 Android strings.xml 4,139 11.8% 58.8%
WordPress (core)WordPress - 7.1.x - Development, 23 October 2026 gettext PO 8,023 14.2% 52.7%

Placeholder defects that shipped

47 of 44,495 translations that contain a placeholder drop, add or misnumber it, about 1 in 950. A further 19 change only the type, such as %d written as %s, and are not counted. Some drops are deliberate, where a translator typed the value in. Others lose information or print a literal code:

  • cs · WordPress%1$d of %2$d active%1 z %2 aktivních“%1” and “%2” are not valid placeholders, so the counts are lost.
  • cs · WordPress+%dprocentA count such as “+5” became the word “percent”.
  • es · Signal%1$s raised a handHas levantado la manoReads “You have raised your hand”: the person's name is gone.
  • ru · MastodonCreated by {name}Созданные пользователемReads “Created by the user”: which user is no longer shown.

How the study works

We took the English source strings and every shipped translation from three widely translated open-source apps, each in a different file format: Mastodon’s web app (JSON, ICU messages), Signal for Android (Android strings.xml) and WordPress core (gettext PO from translate.wordpress.org). For 27 languages, we compared the visible length of each translation with its English source, after removing placeholders and markup, and checked whether the placeholders survived.

Translations identical to the English, empty or marked fuzzy were left out, as were plural and select messages, whose forms legitimately differ. Expansion is the total translated characters divided by the total English characters. Placeholders are compared by position, so a legal reorder such as %s … %s → %2$s … %1$s is not an error.

Character counts are not the same as screen width. Chinese, Japanese and Korean use fewer characters than English, but each one takes more horizontal space, so measure rendered width in your own UI before shrinking a layout. The measurement script is in our site repository and can be re-run against newer versions of each app.

What it means for app teams

  • Leave room to grow. French, Greek and German UI text runs 28–32% longer than English, and individual short labels often double.
  • Give translators context. More than half of UI strings are 20 characters or fewer, too short to translate reliably without the key name, a description or a screenshot.
  • Check placeholders before you ship. About 1 in 8 UI strings contains a variable. Even in mature projects, about 1 in 950 shipped translations drops or breaks one.

See how LanguageOps handles this on the app localization page, or compare platform costs in the TMS pricing comparison.

Exact rules used by the measurement script
- Singular strings only. ICU plural/select messages, Android <plurals>/<string-array> and
    gettext msgid_plural entries are skipped, because their forms legitimately differ.
  - translatable="false", fuzzy, empty and target-identical-to-source strings are excluded.
  - Visible length = characters left after removing placeholders and markup tags, with
    whitespace collapsed. Ratios are measured only where the source has >= 2 visible characters.
  - Placeholder integrity: the target must carry the same placeholders as the source. printf
    placeholders are normalised to (position, conversion), so a legal reorder
    (%s %s -> %2$s %1$s) is not an error. A %d written as %s counts as "type only", not as a
    defect. ICU compares the set of {argument} names.
Sources

Where every number comes from

Third-party figures were checked against the publisher’s own page on the date shown. Our own analysis and research is marked as such on each card.

  1. Nimdzi Insights, The 2026 Nimdzi 100, 2026. Checked 23 October 2026.
  2. Slator, 2026 Language Solutions & AI Market Report, 2026. Checked 23 October 2026.
  3. CSA Research, Can't Read, Won't Buy – B2C (8,709 consumers, 29 countries), 7 July 2020. Checked 23 October 2026.
  4. W3Techs, Usage statistics of content languages for websites, 23 October 2026. Checked 23 October 2026.
  5. Apple Newsroom, study by Analysis Group, 4 June 2026. Checked 23 October 2026.
  6. Apple Developer News, 31 March 2026. Checked 23 October 2026.
  7. LanguageOps TMS pricing comparison, 15 July 2026.
  8. LanguageOps UI string study, 23 October 2026.
Use these figures

How to cite this page

Our original research and analysis are published under CC BY 4.0: use them freely with a link back. For third-party figures, cite the original publisher, which each card names. Every card has a Copy citation link and its own anchor.

Citation
LanguageOps (2026). UI string expansion and placeholder integrity in shipped app translations. https://languageops.com/translation-industry-statistics/#ui-study

Machine-readable: https://languageops.com/research/translation-industry-statistics.json · https://languageops.com/research/ui-string-expansion-2026.csv

Questions

Translation statistics, answered

How big is the translation industry?
Nimdzi estimates the global language industry at USD 72.6 billion in 2025, rising to USD 73.4 billion in 2026, with growth of under 1% a year to 2030. Slator puts the narrower addressable market for language solutions and AI at USD 30.85 billion in 2025. The two differ because Nimdzi counts the whole industry, including interpreting and services, while Slator measures buyer spend on language solutions and AI.
How much longer is German than English?
In our study of shipped app translations, German UI text was 28% longer than English on average, and 27–29% across Mastodon, Signal and WordPress. 22% of German strings grew by more than half, and about 1 in 17 was at least twice as long.
Which language expands the most when translated from English?
Of 27 languages measured, French expanded most at +32%, followed by Greek (+30%), German (+28%), Spanish (+24%) and Italian (+23%). Scandinavian languages grew least among European languages (Danish and Norwegian +9%, Swedish +11%). Chinese, Japanese and Korean use far fewer characters (−45% to −66%), although each character takes more horizontal space.
How much space should I leave for translated UI text?
Plan for about 30% more space than English for French, Greek and German, around 20–25% for Spanish, Italian and Dutch, and much more for short labels. In our data, 28% of French and 22% of German UI strings grew by more than 50%, and 1 in 13 French strings at least doubled. Let buttons and labels wrap or grow rather than fixing their width.
What percentage of consumers prefer to buy in their own language?
CSA Research found that 76% of online shoppers prefer to buy products with information in their native language, and 40% will never buy from websites in other languages. The survey covered 8,709 consumers in 29 countries.
What percentage of the web is in English?
W3Techs finds English on 49.5% of websites whose content language it can identify (October 2026). Spanish is next at 6.1%, then German (5.9%), Japanese (4.9%) and French (4.6%).
Can I use these statistics?
Yes. Our original research and analysis are published under CC BY 4.0, so you can reuse them with a link to this page. Each statistic has its own anchor and a Copy citation link. For third-party figures, cite the original publisher named on each card.

Measure your own strings

Send a resource file and your target languages. We will show you how much your text grows, where placeholders are at risk, and what the translated files look like.