Growth Resumes, but 2024 Will Be a Hard Year

According to our latest quarterly business confidence survey, we forecast growth in the language services and technology industry will resume in 2024. See what factors will contribute to higher growth in the industry, learn how large language models (LLMs) are shaping the future of global digital transformation, access the results of the Insterpreting SAFE-AI Task Force study, add register for LocWorld51 Dublin.

What to Know

NEW! Industry forecasts from our analysts!: "Growth Resumes in Nominal Terms, but 2024 Will Be a Hard Year"

According to CSA Research’s latest quarterly business confidence survey (closed on 1/29/2024), we forecast growth in the language services and technology industry will resume in 2024. This growth projection stems from a thorough analysis of comprehensive data collected throughout 2023. Our preliminary sizing of the market for 2024 – as much as US$54.72 billion – factors in both accelerators and challenges (“Growth Resumes in Nominal Terms, but 2024 Will Be a Hard Year).”

Exclusive Client Preview: The full report, detailing our findings and projections, will be available exclusively to our clients here. We will, however, share select insights and snapshots from the report publicly. Find Out More

The 'Perceptions on Automated Interpreting' study by the Interpreting SAFE AI Task Force, led by CSA Research, is now accessible to all. 🔔

The Interpreting SAFE-AI Task Force commissioned independent market research company CSA Research to develop, run, and analyze a large-scale perception study of end-users, requestors, and providers of interpreting services and technology. The goal of the study was to capture current perceptions about spoken and signed AI for interpreting, with a focus on the US market. This report presents over 9,400 datapoints on a series of 118 items that tie to experience with automated solutions, perceptions regarding quality, pros and cons, criteria to decide whether to use automated interpreting, and perceptions on suitability for 58 use cases. The results are available for all. Learn More

Research to Review

Locales and Focused Large Language Models (FLLMs)

Explore the transformative potential of Generative AI (GenAI) in our latest research. We dive into how large language models (LLMs) are shaping the future of global digital transformation, addressing the crucial aspects of linguistic, cultural, and domain-specific relevance. Our report provides an in-depth analysis of design and process challenges, offering strategies for creating focused LLMs tailored to specific locales and use cases. Discover how "vertical AI" can enhance accuracy and reliability across various channels, empowering organizations with models trained on relevant data. Learn More

For more insights, revisit our previous report.

Language Workers Must Act Like Chefs, Not Cooks

In the Post-Localization Era, language service providers and professionals are transforming from mere 'word cooks' to master 'language chefs'. The industry is shifting towards delivering digital content seamlessly across all channels, in any language, anytime, often with AI's support. This evolution demands a new identity, with a focus on availability, scalability, and security to meet complex client needs. It's time for language workers to take charge of the 'language kitchen' and deliver value on a grand scale, preparing to meet future demands with confidence. Learn More

International SEO in a Time of AI

Exploring international markets requires smart SEO strategies tailored to each unique cultural context—not just direct translations. Discover how generative AI can enhance your approach, aligning your offerings with the authentic search behaviors and language nuances of your global audience. Learn More

What to Read

Is Meaningful Language Access Possible with Automated Interpreting?

In the latest blog by Hélène Pielmeier , she delves into the heart of this question. As AI becomes more prevalent, interpreting professionals are examining what this means for the future of their field. She unpacks the challenges of meaningful language access through automation and what it signifies for the evolving role of interpreters. Read/Listen to the Blog

In Case You Missed It

Overview of Findings from “Perceptions on Automated Interpreting”

We are excited to share that the recording of our recent webinar, "Overview of Findings from 'Perceptions on Automated Interpreting,'" is now available! 🎥 Dive deep into the insights from this comprehensive study conducted by CSA Research for the Interpreting SAFE-AI Task Force. Access the recording here.

Where to Be

June 5-7, 2024: LocWorld51 Dublin

Join us at LocWorld ! Register here.

CSA Research's Alison Toon will present "AI and Automation to Optimize Global Content and Processes" on Friday the 7th.

Summary: Deciding on the best process for providing content to engage and satisfy customers worldwide is not an easy task, especially with the proliferation of tools including AI and machine learning, generative AI (GenAI), rules-based workflows, data mapping services, and others. An inappropriate choice may hinder efforts to streamline and optimize translation and interpreting delivery – and your investment in automation might even be ignored by the people who should benefit. The right set of tools and processes, however, can ensure delivery of the right content in the right language at the best time – and with planning, needs analysis, and investigation, it’s achievable for everyone. Based on the latest data-based research, this session will share why a content and process audit is important, how to begin such an analysis, and a better understanding of the variety of tools available for the mix of enterprise global content needs.