Localization trends report 2025

AI translation is on the rise as large language models outperform machine translation tools

Download the full trends report for insights, trends, and best practices that will help you and your stakeholders optimize localization processes in 2025.

main image

Claude 3.5 ranks #1 in translation accuracy

Initial research from the product team at Lokalise showed that large language models (LLMs) outperformed machine translations in translation accuracy. Claude 3.5 ranked #1 in all results, significantly outperforming all other language models across all languages that were tested.

vectorTested via Lokalise AI
RankEngine
1Claude 3.5
2Google Translate
3GPT
4DeepL
5Microsoft Translator

70% of translations are machine-assisted

Machine-assisted translation methods are now used for 70% of translations, overtaking human translation which is declining rapidly.
Download full report

Group 427322450

Translation memory is the rising star in localization

Companies are increasingly repurposing translations to reduce costs, maintain quality, and speed up translation processes. It also indicates a clear preference for more automated, scalable translation methods over human translation.
Download full report

Group 427322453

There’s growing trust in AI translation

There’s a notable trend in small and mid-size companies adopting AI for translation in 2024.
Download full report

Group 427322457

Localization trends report 2025

Discover trends and best practices to help you localize more efficiently this year. Download the report now.

Close
See Lokalise in action

Get a free 30-minute consultation to find out how to make your localization and translation workflows more efficient.

Trusted by 3000+ global companies

Brand Brand Brand Brand