Asia-Pacific digital language learning market is expected to grow from US$ 2.45 Bn in 2018 to US$ 8.89 Bn by the year 2027. This represents a CAGR of 15.7% from the year 2018 to 2027.
Digital English language learning is witnessing the major demand from both academic and non-academic sectors in Asian countries. The currently increasing trend among Asian students to enroll themselves in universities in the western countries for higher education is creating a significant demand for language learning courses. Majority of the candidates from Asian countries, especially from India and China, enroll themselves for Test of English as a Foreign Language (TOEFL), International English Language Testing System (IELTS), Graduate Record Examination (GRE), Test of English for International Communication (TOEIC), and other language-based courses and certifications. TOEFL and IELTS are the tests conducted to assess a non-native candidate’s English fluency level, including proper English speaking and writing skills. This factor compels the enrolling candidates to opt for English Language Training (ELT) institutes. The burgeoning demand for these competitive exams has led to the establishment of various ELT institutions across these countries, which in turn has opened up avenues for different English learning methods. Moreover, in response to this, various schools, colleges, and universities in India and China have adopted digital learning technologies, and the trend of adoption of the same is consistently increasing. Various ELTs have also incorporated digital English language learning systems and technologies. This factor has positively impacted the growth of the digital language learning market in recent years.
Currently, China is dominating the digital language learning market in Asia-Pacific market owing to the growing popularity of English as a second language and increasing penetration of digitization. The number of students in China is also high, which is a beneficial factor for digital language learning companies to offer their solutions and services. Additionally, the use of internet has been long-established, and the constant advances in the same are enabling the students and candidates to opt for digital languages, which is creating opportunities for digital language learning market. The figure given below highlights the revenue share of the rest of Asia-Pacific in the Asia-Pacific digital language learning market in the forecast period:
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ASIA-PACIFIC DIGITAL LANGUAGE LEARNING MARKET - SEGMENTATION
Asia-Pacific Digital Language Learning Market by Language Type
- English
- German
- Spanish
- Mandarin
- Others
Asia-Pacific Digital language learning Market by Deployment Type
- On-Premise
- Cloud
Asia-Pacific Digital language learning Market by Business Type
- Business-to-Business
- Business-to-Customer
Asia-Pacific Digital language learning Market by End-User
- Academic
- Non-Academic
Asia-Pacific Digital language learning Market by Country
- China
- Japan
- South Korea
- India
- Australia
- Rest of Asia-Pacific
Companies Mentioned
- Busuu, Ltd
- Babbel
- Fluenz
- Lingoda GmbH
- Living Language (Penguin Random House, LLC)
- Pearson PLC
- Preply, Inc.
- Rosetta Stone, Inc.
- Verbling, Inc.
- Yabla, Inc.
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
Language Type, Deployment Type, Business Type, End-User
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
Australia, China, Japan, South Korea
1. Introduction
1.1 Scope of the Study
1.2 The Insight Partners Research Report Guidance
1.3 Market Segmentation
2. Key Takeaways
3. Research Methodology
3.1 Coverage
3.2 Secondary Research
3.3 Primary Research
4. Asia-Pacific Digital Language Learning Market Landscape
4.1 Market Overview
4.2 Ecosystem Analysis
4.3 PEST Analysis
4.3.1 Asia Pacific – PEST Analysis
5. Asia-Pacific Digital Language Learning Market – Key Industry Dynamics
5.1 Key Market Drivers
5.1.1 Growing Number Students Migrating to Western Countries from Asia
5.1.2 Penetration of Digitization Across The Education Sector
5.2 Key Market Restraints
5.2.1 Growing Security Concerns and High Risk of Piracy with Offline Content
5.3 Key Market Opportunities
5.3.1 Government Initiatives Regarding English Language Learning to Create Lucrative Business Opportunities
5.4 Future Trends
5.4.1 Integration of Advanced Technologies to Attract More Customers
5.5 Impact Analysis of Drivers and Restraints
6. Asia-Pacific Digital Language Learning Market –Market Analysis
6.1 Asia-Pacific Digital Language Learning Market Overview
6.2 Asia-Pacific Digital Language Learning Market Forecast and Analysis
7. Asia-Pacific Digital Language Learning Market Revenue And Forecasts To 2027 – Language Type
7.1 Overview
7.2 English
7.2.1 Overview
7.2.2 Asia-Pacific English Language Market Revenue and Forecasts to 2027 (US$ Mn)
7.3 Mandarin
7.3.1 Overview
7.3.2 Asia-Pacific Mandarin Language Market Revenue and Forecasts to 2027 (US$ Mn)
7.4 Spanish Language
7.4.1 Overview
7.4.2 Asia-Pacific Spanish Language Market Revenue and Forecasts to 2027 (US$ Mn)
7.5 German Language
7.5.1 Overview
7.5.2 Asia-Pacific German Language Market Revenue and Forecasts to 2027 (US$ Mn)
7.6 Other Language
7.6.1 Overview
7.6.2 Asia-Pacific Other Language Market Revenue and Forecasts to 2027 (US$ Mn)
8. Asia-Pacific Digital Language Learning Market – By Deployment Type
8.1 Overview
8.2 Cloud-Based
8.2.1 Overview
8.2.2 Asia-Pacific Cloud-Based Market Revenue and Forecasts to 2027 (US$ Mn)
8.3 On-Premises
8.3.1 Overview
8.3.2 Asia-Pacific On-Premises Market Revenue and Forecasts to 2027 (US$ Mn)
9. Asia-Pacific Digital Language Learning Market– By Business Type
9.1 Overview
9.2 Business-To-Business
9.2.1 Overview
9.2.2 Asia-Pacific Business-To-Business Market Revenue and Forecasts to 2027 (US$ Mn)
9.3 Business-To-Customer
9.3.1 Overview
9.3.2 Asia-Pacific Business-To-Customers Market Revenue and Forecasts to 2027 (US$ Mn)
10. Asia-Pacific Digital Language Learning Market– By End User
10.1 Overview
10.2 Academic
10.2.1 Overview
10.2.2 Asia-Pacific Academic Market Revenue and Forecasts to 2027 (US$ Mn)
10.3 Non-Academic
10.3.1 Overview
10.3.2 Asia-Pacific Non-Academic Market Revenue and Forecasts to 2027 (US$ Mn)
11. Asia-Pacific Digital Language Learning Market– Country Analysis
11.1 Overview
11.1.1 Asia Pacific Digital Language Learning Market Breakdown, By Key Countries
11.1.1.1 China Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.1.1 China Digital Language Learning Market Breakdown By Language type
11.1.1.1.2 China Digital Language Learning Market Breakdown By Deployment type
11.1.1.1.3 China Digital Language Learning Market Breakdown By Business Type
11.1.1.1.4 China Digital Language Learning Market Breakdown By End-Users
11.1.1.2 Japan Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.2.1 Japan Digital Language Learning Market Breakdown By Language type
11.1.1.2.2 Japan Digital Language Learning Market Breakdown By Deployment type
11.1.1.2.3 Japan Digital Language Learning Market Breakdown By Business Type
11.1.1.2.4 Japan Digital Language Learning Market Breakdown By End-Users
11.1.1.3 India Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.3.1 India Digital Language Learning Market Breakdown By Language type
11.1.1.3.2 India Digital Language Learning Market Breakdown By Deployment type
11.1.1.3.3 India Digital Language Learning Market Breakdown By Business Type
11.1.1.3.4 India Digital Language Learning Market Breakdown By End-Users
11.1.1.4 Australia Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.4.1 Australia Digital Language Learning Market Breakdown By Language type
11.1.1.4.2 Australia Digital Language Learning Market Breakdown By Deployment type
11.1.1.4.3 Australia Digital Language Learning Market Breakdown By Business Type
11.1.1.4.4 Australia Digital Language Learning Market Breakdown By End-Users
11.1.1.5 South Korea Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.5.1 South Korea Digital Language Learning Market Breakdown By Language type
11.1.1.5.2 South Korea Digital Language Learning Market Breakdown By Deployment type
11.1.1.5.3 South Korea Digital Language Learning Market Breakdown By Business Type
11.1.1.5.4 South Korea Digital Language Learning Market Breakdown By End-Users
11.1.1.6 Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
11.1.1.6.1 Rest Of APAC Digital Language Learning Market Breakdown By Language type
11.1.1.6.2 Rest Of APAC Digital Language Learning Market Breakdown By Deployment type
11.1.1.6.3 Rest Of APAC Digital Language Learning Market Breakdown By Business Type
11.1.1.6.4 Rest Of APAC Digital Language Learning Market Breakdown By End-Users
12. Digital Language Learning Market - Industry Landscape
12.1 Market Initiative
12.2 New Development
13. Company Profiles
13.1 Babbel
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 Busuu Ltd.
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 Fluenz
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Lingoda GmbH.
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 Living Language (Penguin Random House, LLC)
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 Pearson PLC
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 FINANCIAL OVERVIEW
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Preply, Inc.
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Rosetta Stone, Inc
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Verbling, Inc.
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 Yabla, Inc.
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Products and Services
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments
14. Appendix
14.1 About The Insight Partners
14.2 Glossary of Terms
LIST OF TABLES
Table 1. Asia-Pacific Digital Language Learning Market Revenue and Forecasts to 2027 (US$ Mn)
Table 2. Asia Pacific Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 3. Asia Pacific Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 4. Asia Pacific Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 5. Asia Pacific Digital Language Learning Market Revenue And Forecast to 2027 – By End-users (US$ Mn)
Table 6. Asia Pacific Digital Language Learning Market Revenue And Forecast to 2027 – By End-users (US$ Mn)
Table 7. China Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 8. China Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 9. China Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 10. China Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 11. Japan Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 12. Japan Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 13. Japan Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 14. Japan Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 15. India Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 16. India Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 17. India Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 18. India Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 19. Australia Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 20. Australia Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 21. Australia Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 22. Australia Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 23. South Korea Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 24. South Korea Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 25. South Korea Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 26. South Korea Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 27. Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 – By Language type (US$ Mn)
Table 28. Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 – By Deployment type (US$ Mn)
Table 29. Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 – By Business Type (US$ Mn)
Table 30. Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 – By End-Users (US$ Mn)
Table 31. Glossary of Term: Digital Language Learning Market
LIST OF FIGURES
Figure 1. Asia-Pacific Digital Language Learning Market Segmentation
Figure 2. Asia-Pacific Digital Language Learning Market Segmentation – By Country
Figure 3. Asia-Pacific Digital Language Learning Market - Competitive Scenario
Figure 4. Asia-Pacific Digital Language Learning Market, By Language Type
Figure 5. Asia-Pacific Digital Language Learning Market, By Deployment Type
Figure 6. Asia-Pacific Digital Language Learning Market, By Business Type
Figure 7. Asia-Pacific Digital Language Learning Market, By End-User
Figure 8. Asia-Pacific Digital Language Learning Market, By Country
Figure 9. Asia-Pacific Digital Language Learning Market Overview
Figure 10. Digital Language Learning Market Ecosystem Analysis
Figure 11. Asia Pacific – PEST Analysis
Figure 12. Asia-Pacific Digital Language Learning Market Impact Analysis of Drivers and Restraints
Figure 13. Asia-Pacific Digital Language Learning Market Forecast and Analysis, (US$ Mn)
Figure 14. Asia-Pacific Digital Language Learning Market Breakdown, By Language Type, 2018 & 2027 (%)
Figure 15. Asia-Pacific English Language Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 16. Asia-Pacific Mandarin Language Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 17. Asia-Pacific Spanish Language Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 18. Asia-Pacific German Language Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 19. Asia-Pacific Other Language Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 20. Asia-Pacific Digital Language Learning Market Breakdown, By Deployment Type, 2018 & 2027 (%)
Figure 21. Asia-Pacific Cloud Based Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 22. Asia-Pacific On-Premises Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 23. Asia-Pacific Digital Language Learning Market Breakdown by Business Type, 2018 & 2027 (%)
Figure 24. Asia-Pacific Business-To-Business Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 25. Asia-Pacific Business-To-Customers Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 26. Asia-Pacific Digital Language Learning Market Breakdown, By End User, 2018 & 2027 (%)
Figure 27. Asia-Pacific Academic Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 28. Asia-Pacific Non- academic Market Revenue and Forecasts to 2027 (US$ Mn)
Figure 29. Asia Pacific Digital Language Learning Market Breakdown by Key Countries, 2018 & 2027(%)
Figure 30. China Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
Figure 31. Japan Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
Figure 32. India Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
Figure 33. Australia Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
Figure 34. South Korea Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
Figure 35. Rest Of APAC Digital Language Learning Market Revenue And Forecast to 2027 (US$ Mn)
The List of Companies
- Busuu, Ltd
- Babbel
- Fluenz
- Lingoda GmbH
- Living Language (Penguin Random House, LLC)
- Pearson PLC
- Preply, Inc.
- Rosetta Stone, Inc.
- Verbling, Inc.
- Yabla, Inc
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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