Our Analysts' Insights

Populations that do not speak the dominant language are often ignored in the United States and elsewhere, with the exception of certain regulated industries, such as insurance and healthcare. Of course, Spanish is the major non-English language in the U.S. If treated independently, it would be the world’s eleventh-most-significant tongue in economic terms, just behind Italian and just ahead of Dutch. An additional 12 languages spoken in the U.S. surpass at least one official EU language in popu...

If you’ve ever heard someone tell you that, “The translation is bad!” and yet nobody is able to articulate why, you’re not alone. You have checked the quality that your linguists deliver – all is good. You and your LSPs set up a localization quality assessment (LQA) process and rigorously measure spelling errors, typos, and other errors: you can confidently state that the translation is, in fact, highly accurate. Yet the in-country teams still report poor-quality translation. This is a comm...

In the first episode of an iconic sci-fi television series, a NASA test pilot was seriously injured in the crash of an experimental aircraft. The emergency medical team replaced three of his four limbs and one eye with nuclear-powered bionic implants, while a voiceover intoned, “We can rebuild him. We have the technology. We can make him better than he was. Better...stronger...faster." The resulting six-million-dollar-man worked as a secret agent, using his now superhuman powers to battle ...

The COVID-19 pandemic has challenged many LSPs’ abilities to grow. In a January 2021 survey, we found that 44% of them experienced a setback in 2020. But that’s not to say the market overall performed that poorly. On average, despite the losses of many, we calculated a 3% growth from 2019 to 2020 for this group of providers, which has traditionally outpaced the industry as a whole. And they are overall optimistic about 2021, as their sales goal amounts to an average planned increase of 18% ove...

To understand the effect of the pandemic on the language industry, CSA Research began quarterly surveys of the CEOs of LSPs in March 2020 and expanded regular primary research to LSPs in China, freelancers, langtech vendors, and enterprises. Here we present datapoints to close out 2020 and identify what to expect in 2021.

During a time of uncertainty, hearing from peers and leaders helps and we have been sharing feedback from multiple constituents to help organizations focus on what really matters as well as find opportunities in the middle of a crisis and get ready for the re-entry phase and growth in the post Covid-19 economy. In this final post of 2020, we share analysts’ thoughts on the toughest year to date, and what to carry with us into 2021.

As we look back at the annus horribilis that was 2020, what are some things we can learn and take forward to improve 2021 and come back stronger than ever? In this post, I summarize some of the lessons CSA Research has learned from our conversations with professionals working in enterprise localization departments, at LSPs, or as freelance linguists.

Remote simultaneous interpreting has experienced a boom since the start of the COVID-19 pandemic. Organizations of all types turn to RSI platforms to deliver a multilingual experience for virtual or hybrid in-person and online meetings. Likewise, online voting solutions are in high demand for organizations that need a sophisticated virtual voting mechanism when they want to enable remote work for elected officials or other decision-makers.

For the first time since 2005, CSA Research did not release our 2020 Global Market Study sizing and forecasts when we ranked the largest LSPs in the world in June. We just published “Sizing the Language Industry in 2020 and Beyond,” our comprehensive data-based guidance for 2020 through 2025.

In late 2015 most developers still treated Neural Machine Translation (NMT) as a future technology that would come someday, but by the middle of 2016 several developers had released functional neural systems that seemed to outperform even the best statistical MT (SMT) engines. Since that point, momentum has shifted decisively in favor of NMT because it delivered better fluency in its output and seemed to promise the end of incomprehensible MT output. Eventually, this rate of stellar progress slo...