11 datasets found
  1. Share of English speakers by region India 2019

    • statista.com
    Updated May 14, 2019
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    Statista (2019). Share of English speakers by region India 2019 [Dataset]. https://www.statista.com/statistics/1007578/india-share-of-english-speakers-by-region/
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    Dataset updated
    May 14, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    India
    Description

    This statistic represents results of a survey about the share of English speakers across India in 2019, by region. During the surveyed time period, the share of respondents who spoke English in urban areas was around ** percent while this was about ***** percent for rural respondents.

  2. Number of native English speakers in India 1971-2011

    • statista.com
    Updated Mar 28, 2019
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    Statista (2019). Number of native English speakers in India 1971-2011 [Dataset]. https://www.statista.com/statistics/987540/number-of-native-english-speakers-india/
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    Dataset updated
    Mar 28, 2019
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1971 - 2011
    Area covered
    India
    Description

    The statistic displays the number of native English speakers in India from 1971 to 2011. About *** thousand Indians recognized English as their mother-tongue according to the 2011 census, up from about ***** thousand speakers in the census of 2001.

  3. F

    Indian English General Conversation Speech Dataset for ASR

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
    + more versions
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    FutureBee AI (2022). Indian English General Conversation Speech Dataset for ASR [Dataset]. https://www.futurebeeai.com/dataset/speech-dataset/general-conversation-english-india
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    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the Indian English General Conversation Speech Dataset — a rich, linguistically diverse corpus purpose-built to accelerate the development of English speech technologies. This dataset is designed to train and fine-tune ASR systems, spoken language understanding models, and generative voice AI tailored to real-world Indian English communication.

    Curated by FutureBeeAI, this 30 hours dataset offers unscripted, spontaneous two-speaker conversations across a wide array of real-life topics. It enables researchers, AI developers, and voice-first product teams to build robust, production-grade English speech models that understand and respond to authentic Indian accents and dialects.

    Speech Data

    The dataset comprises 30 hours of high-quality audio, featuring natural, free-flowing dialogue between native speakers of Indian English. These sessions range from informal daily talks to deeper, topic-specific discussions, ensuring variability and context richness for diverse use cases.

    Participant Diversity:
    Speakers: 60 verified native Indian English speakers from FutureBeeAI’s contributor community.
    Regions: Representing various provinces of India to ensure dialectal diversity and demographic balance.
    Demographics: A balanced gender ratio (60% male, 40% female) with participant ages ranging from 18 to 70 years.
    Recording Details:
    Conversation Style: Unscripted, spontaneous peer-to-peer dialogues.
    Duration: Each conversation ranges from 15 to 60 minutes.
    Audio Format: Stereo WAV files, 16-bit depth, recorded at 16kHz sample rate.
    Environment: Quiet, echo-free settings with no background noise.

    Topic Diversity

    The dataset spans a wide variety of everyday and domain-relevant themes. This topic diversity ensures the resulting models are adaptable to broad speech contexts.

    Sample Topics Include:
    Family & Relationships
    Food & Recipes
    Education & Career
    Healthcare Discussions
    Social Issues
    Technology & Gadgets
    Travel & Local Culture
    Shopping & Marketplace Experiences, and many more.

    Transcription

    Each audio file is paired with a human-verified, verbatim transcription available in JSON format.

    Transcription Highlights:
    Speaker-segmented dialogues
    Time-coded utterances
    Non-speech elements (pauses, laughter, etc.)
    High transcription accuracy, achieved through double QA pass, average WER < 5%

    These transcriptions are production-ready, enabling seamless integration into ASR model pipelines or conversational AI workflows.

    Metadata

    The dataset comes with granular metadata for both speakers and recordings:

    Speaker Metadata: Age, gender, accent, dialect, state/province, and participant ID.
    Recording Metadata: Topic, duration, audio format, device type, and sample rate.

    Such metadata helps developers fine-tune model training and supports use-case-specific filtering or demographic analysis.

    Usage and Applications

    This dataset is a versatile resource for multiple English speech and language AI applications:

    ASR Development: Train accurate speech-to-text systems for Indian English.
    Voice Assistants: Build smart assistants capable of understanding natural Indian conversations.
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  4. Number of English speakers in India 2011, by state

    • statista.com
    Updated May 30, 2025
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    Statista (2025). Number of English speakers in India 2011, by state [Dataset]. https://www.statista.com/statistics/1614218/india-english-speakers-by-state/
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    Dataset updated
    May 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2011
    Area covered
    India
    Description

    Nearly 260,000 speakers reported to speak English as their mother-tongue in India as per the latest census. Of these, Maharastra had the highest number of English speakers, followed by Tamil Nadu.

  5. Number of Indian and English language internet users in India 2011-2021

    • statista.com
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    Statista, Number of Indian and English language internet users in India 2011-2021 [Dataset]. https://www.statista.com/statistics/718420/internet-user-base-by-language-india/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    This statistic displays the number of Indian and English language internet users across India from 2011 to 2021. In 2016, the number of English internet users amounted to about *** million and was projected to increase to *** million in 2021. For Indian language users, this number was about *** million users in 2016, and was projected to reach *** million in 2021.

  6. The most spoken languages worldwide 2025

    • statista.com
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    Statista, The most spoken languages worldwide 2025 [Dataset]. https://www.statista.com/statistics/266808/the-most-spoken-languages-worldwide/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2025
    Area covered
    World
    Description

    In 2025, there were around 1.53 billion people worldwide who spoke English either natively or as a second language, slightly more than the 1.18 billion Mandarin Chinese speakers at the time of survey. Hindi and Spanish accounted for the third and fourth most widespread languages that year. Languages in the United States The United States does not have an official language, but the country uses English, specifically American English, for legislation, regulation, and other official pronouncements. The United States is a land of immigration, and the languages spoken in the United States vary as a result of the multicultural population. The second most common language spoken in the United States is Spanish or Spanish Creole, which over than 43 million people spoke at home in 2023. There were also 3.5 million Chinese speakers (including both Mandarin and Cantonese),1.8 million Tagalog speakers, and 1.57 million Vietnamese speakers counted in the United States that year. Different languages at home The percentage of people in the United States speaking a language other than English at home varies from state to state. The state with the highest percentage of population speaking a language other than English is California. About 45 percent of its population was speaking a language other than English at home in 2023.

  7. India Language Training Market Analysis - Size and Forecast 2025-2029

    • technavio.com
    pdf
    Updated Jan 7, 2025
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    Technavio (2025). India Language Training Market Analysis - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/india-language-training-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    India
    Description

    Snapshot img

    India Language Training Market Size 2025-2029

    The India language training market size is forecast to increase by USD 10.87 billion at a CAGR of 17.3% between 2024 and 2029.

    The language training market is experiencing significant growth due to several key trends. The increasing emphasis on continuous professional development is driving the demand for language training programs. Additionally, the integration of technology in learning and training, such as e-learning, virtual reality, and simulations, is revolutionizing the way language skills are acquired. 
    However, the high cost of accessing quality training programs, educational resources, and technology infrastructure remains a challenge for both individuals and organizations. Despite this, the market is expected to continue expanding as the benefits of multilingualism become increasingly apparent in today's globalized economy. Language training is no longer a luxury, but a necessity for businesses and individuals looking to stay competitive in the international marketplace.
    

    What will be the Size of the Market During the Forecast Period?

    Request Free Sample

    The market is experiencing significant growth as multinational firms recognize the importance of multilingual talent in today's globalized business environment. Specialized language courses have become increasingly popular, with e-learning platforms leading the charge in delivering flexible and accessible education. Artificial Intelligence (AI) integration, through speech recognition and chatbot assistance, is revolutionizing language education by providing personalized learning experiences. English remains the dominant business language, but Spanish, Chinese, French, German, Japanese, and Korean are also in high demand. AI-driven language education offers numerous benefits, including instant feedback on grammar and pronunciation. However, in-person tutoring continues to provide a valuable learning experience, with qualified language instructors bridging linguistic gaps.
    Moreover, multinational firms are investing heavily in language education, recognizing the importance of effective communication in international business. Language start-ups are also emerging, offering innovative solutions to meet the evolving needs of learners. Flexible pricing models and the integration of social robots add to the appeal of AI-driven language education. The language skills market is dynamic, with constant innovation and advancements in technology shaping its future. AI-driven language education is set to transform the way we learn and communicate in a globalized world. Whether it's English, Spanish, Chinese, French, German, Japanese, or Korean, language education is an essential investment for individuals and organizations alike.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    End-user
    
      Institutional learners
      Individual learners
    
    
    Learning Method
    
      Classroom-based
      Online
      Blended
    
    
    Language
    
      English
      French
      German
      Spanish
      Others
    
    
    Geography
    
      India
    

    By End-user Insights

    The institutional learners segment is estimated to witness significant growth during the forecast period. The institutional learners segment represents a substantial portion of the market. This demographic includes students and educators enrolled in academic institutions, vocational training centers, and corporate programs, aiming to enhance their language skills for academic, professional, and personal growth. In the academic sector, this segment consists of learners pursuing language training to master languages such as English, Hindi, and regional or foreign languages. Institutions like Jawaharlal Nehru University (JNU) and the English and Foreign Languages University (EFLU) provide specialized language courses and programs for institutional learners seeking degrees in language studies, linguistics, and literature.

    Get a glance at the market report of share of various segments Request Free Sample

    Market Dynamics

    Our India Language Training Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in adoption of India Language Training Market?

    Growing emphasis on continuous professional development is the key driver of the market. The language training market in the US is witnessing a notable trend towards specialized courses and continuous learning, driven by the increasing importance of language skills in business and personal contexts. This shift is fueled by several fac
    
  8. g

    ENGLISH PROFICIENCY LEVEL

    • global-relocate.com
    Updated Oct 29, 2024
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    Global Relocate (2024). ENGLISH PROFICIENCY LEVEL [Dataset]. https://global-relocate.com/rankings/english-proficiency-level
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    Dataset updated
    Oct 29, 2024
    Dataset provided by
    Global Relocate
    Description

    Using data from reports such as the "English Proficiency Index" (EDU) from Education First, one can see the significant impact of culture, education and globalization on the ability of citizens of different countries to speak English.

  9. Common languages used for web content 2025, by share of websites

    • statista.com
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    Statista, Common languages used for web content 2025, by share of websites [Dataset]. https://www.statista.com/statistics/262946/most-common-languages-on-the-internet/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2025
    Area covered
    Worldwide
    Description

    As of October 2025, English was the dominant language for online content, used by nearly half of all websites worldwide. Spanish ranked second, accounting for around 6 percent of web content, followed by German with 5.9 percent. English as the leading online language United States and India, the countries with the most internet users after China, are also the world's biggest English-speaking markets. The internet user base in both countries combined, as of January 2023, was over a billion individuals. This has led to most of the online information being created in English. Consequently, even those who are not native speakers may use it for convenience. Global internet usage by regions As of October 2024, the number of internet users worldwide was 5.52 billion. In the same period, Northern Europe and North America were leading in terms of internet penetration rates worldwide, with around 97 percent of its populations accessing the internet.

  10. Level of English proficiency Asia 2024, by country

    • statista.com
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    Statista, Level of English proficiency Asia 2024, by country [Dataset]. https://www.statista.com/statistics/1456015/asia-english-proficiency-ranking-by-country/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Asia, Asia, APAC
    Description

    Singapore scored 609 out of a maximum of 800 points in the English Proficiency Index 2024, the highest score across the selected Asian countries and territories. In contrast, Cambodia reached an English Proficiency Index score of 408 that year.

  11. Persons learning German in India 2010-2020

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Persons learning German in India 2010-2020 [Dataset]. https://www.statista.com/statistics/1197743/india-total-number-of-german-learners/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2020, India witnessed a strong increase of German language learners in comparison to 2015. As English is regarded a national language in India German ranks as the second most popular foreign language with more than ******* learners after French. German is offered in schools, at universities, and in adult educational centers like the Goethe-Institute. In India, the Goethe-Institute is known as Max Mueller Bhavan.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2019). Share of English speakers by region India 2019 [Dataset]. https://www.statista.com/statistics/1007578/india-share-of-english-speakers-by-region/
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Share of English speakers by region India 2019

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
May 14, 2019
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2019
Area covered
India
Description

This statistic represents results of a survey about the share of English speakers across India in 2019, by region. During the surveyed time period, the share of respondents who spoke English in urban areas was around ** percent while this was about ***** percent for rural respondents.

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