The term “Language Technology Platform” (LTP) was first introduced in the Slator 2025 Language Industry Market Report and is a term used to describe pure-play technology providers that develop language tools, applications, orchestration platforms, and AI models. Their core offering is access to tools and / or infrastructure that enable and optimize language transformation.
In a nutshell, LTPs monetize language technology as a primary source of revenue. An LTP’s growth trajectory is product-led. LTPs offer language transformation (cross-language, cross-mode, original generation) for multiple languages, and do not go to market with a monolingual proposition. As such, Slator’s LTP market size captures revenue derived by standalone platforms.
Examples of LTPs include DeepL, Phrase, XTM, HeyGen, ElevenLabs, memoQ, Blackbird, or Bureau Works — to name just a few among the hundreds of LTPs operating globally.
LTPs may enable fully automated, expert-in-the-loop, or manual delivery. An important note is that while LTPs may enable expert-in-the-loop workflows, they do not themselves provide any service that verifies or improves the output of multilingual content on behalf of their users.
Slator 2025 Language Industry Market Report
The 150-page report offers a comprehensive view of the 2025 global market — with market sizing, AI capability breakdowns, buyer insights, use cases, survey data, and projections through 2030.
From a revenue perspective, LTPs target a SaaS subscription model, whose primary metric is Annual Recurring Revenue (ARR). There may be variations to this, of course, as many LTPs also offer volume-based pricing and licensing revenues.
Technology providers that do verify or improve the output of multilingual content on behalf of their users are instead classified as Language Solutions Integrators (LSIs) — which are covered here.
In short, LTPs can work with any number of LSIs with a core value proposition to transform language across languages or modes and do not verify or modify language output. While LTPs often partner with LSIs, a key objective for them is to own the end buyer / user relationship and become an integral part of multilingual content production.