Language Service Providers (LSPs) have seen strong growth in recent years. Between 2020 and 2022, the global industry grew by 11.75% to reach $26.6 billion, and it continues to grow by around 7% each year. While this growth is positive, it also brings new challenges. Clients not only want more translation work but also expect higher quality, culturally accurate, and inclusive content.
Localization projects are becoming larger and more complex. Customers are producing content faster and want it translated in ways that reflect regional nuances, inclusive language, and cultural context, which is why the need for legally valid sworn documents has also grown in many regulated contexts. There’s also a rising demand for translations into “long-tail” languages—languages spoken by fewer people. Over the last three years, requests for these languages have increased by nearly 20%, and LSPs now support over 200 languages, including 45 commonly requested ones.
Despite increasing demand, budgets are often limited. Clients expect LSPs to find efficient ways to deliver more content without higher costs. Those LSPs that can meet these demands will position themselves as leaders in a fast-growing, crucial market. Fortunately, modern translation technology provides significant productivity gains, turning these challenges into opportunities.
Here are three key areas where LSPs can leverage technology:
-
Generative AI and Large Language Models (LLMs)
Machine Translation (MT) is well established, but Generative AI now offers even greater possibilities. AI can improve translation productivity by combining translation memories, glossaries, and MT into smarter translation engines. This reduces the need for manual post-editing. Tools like Trados Copilot can provide real-time assistance, helping translators find solutions quickly. Apps like OpenAI Translator allow LSPs to refine tone, remove bias, and tackle complex linguistic challenges. AI is most effective when used alongside human translators, enhancing efficiency without replacing expert input.
-
Cloud-first Working
Cloud technology has transformed localization by simplifying access to tools and enabling global collaboration. It allows LSPs to work with freelance translators worldwide and keeps software updated automatically. A new trend is using subject matter experts (SMEs) as post-editors, reviewing translations instead of fully redoing them. LSPs can support clients adopting this model by managing workflows, templates, and AI tuning, creating a new service opportunity.
-
Connected, Collaborative Ecosystems
With nearly 1,000 localization tools available, integration is key. LSPs act as the bridge between clients and translators, so having tools that connect seamlessly saves time and improves efficiency. Choosing adaptable technology ensures workflows stay smooth and scalable. Platforms like Trados provide APIs, connectors, and app stores that let LSPs customize their tech to meet client needs, making collaboration easier and more effective.
By embracing AI, cloud technology, and connected ecosystems, LSPs can meet rising client demands, improve productivity, and establish themselves as leaders in the localization industry.