Your business needs AI-assisted localization—today

Forrester's trends report “Rethinking Localization In The Age Of AI” leaves no room for doubt: it's time to adopt AI-powered localization strategies.

Fill out the form to access Forrester’s “Rethinking Localization In The Age Of AI” trends report and explore how business leaders are approaching machine-assisted translation.

Why you need to adapt your approach to localization

With increasing pressure to go global faster, businesses are rethinking how they localize. Many are now embedding LLMs, neural machine translation (NMT) and Translation-as-a-Feature (TaaF) collectively into their workflows—helping them to scale without compromising on quality, speed, or security.

Language work is evolving

70% of all translations are now machine—assisted.

Demand is exploding

AI translation surged by 533% in 2024.

Businesses are switching

88% of content decision-makers say their organization uses GenAI for translation.

Translation roles are shifting

They’re starting to shape LLM outputs: guiding intent and scaling relevance.

“We’re selling to an increasingly technical audience. Software-as-a-service companies are extending their platforms into new markets and want to integrate localization AI into their core applications.”

Steve RotterChief Marketing Officer at DeepL

AI translation: a must-have for your organization

Access Forrester's “Rethinking Localization In The Age Of AI” trends report to make sure your business stays ahead.