The language learning industry is on the up, with an expectation to grow $29.96 billion globally during 2022-2026. There are a number of reasons why this industry is booming. For one, the flexibility that language learning apps and tools provide. Also, the growing interconnectedness of the world has increased the demand for multiple languages in corporate companies.
However, reliable brand and industry data is scarce. How many people are planning to use a language learning tool/app in the coming year? What is it they value most: variety, quality or price? What will drive them to purchase? And which are the language learning brands that these people know best?
Latana’s Language Learning Insights delivers core industry data and brand performance of 20 relevant players in the industry, to help you stay ahead of the competition.
Use this industry dataset to get:
• Insights on how many people are planning to use to a language learning tool over the coming 12 months and what their key purchase drivers are
• Brand awareness estimates for 20 language learning brands among purchase considerers and ability to segment results by other demographic profiles
• Monthly updates on changes in awareness levels among the general population with performance and industry benchmarks
• Unlimited access to a dashboard with the ability to download charts and raw data
Latana is focused on bringing you reliable insights. Join a revolution in brand performance technology that provides you with rich datasets to track your industry and brand performance over time.
Our advanced sampling and machine-learning modeling provide you with unmatched data quality that you can rely on.
Our experts do the heavy lifting for you by designing a set of meaningful and quality-assured KPIs, giving you confidence when benchmarking your competitors and tracking your brand performance.
Our dashboard is designed to put quality insights at the forefront. Uncover the most relevant updates for your brand with ease, explore your data further with intuitive navigation, and save your team hours of manual data work.