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According to a new report Global AI Training Dataset Market, published by KBV research, The Global AI Training Dataset Market size is expected to reach $3.1 billion by 2027, rising at a market growth of 17.4% CAGR during the forecast period.
The audio segment is anticipated to garner a significant revenue share of the AI training dataset market during the forecasting period. This is owing to the great availability of various audio datasets. These comprise environmental audio datasets, Multimodal Emotion Lines Dataset (MELD), music datasets, speech commands datasets, speech datasets, and several others.
The IT segment procured a prominent revenue share in 2020. The application of AI in healthcare provides several lucrative opportunities in therapy areas like diagnostics, wearables, virtual assistants, and lifestyle & wellness management. In addition, AI is used for enhancing organizational workflow and voice-enabled symptom checkers. In these applications of AI, there is a need for a wide-range dataset to offer precise outputs.
North America acquired a prominent revenue share in 2020. Several vendors in this region are concentrating on introducing modern datasets to increase the deployment of artificial intelligence technology in developing sectors. For example, in 2020, Waymo LLC, a Google LLC company, launched a modern dataset for self-driving vehicles.
The market research report has exhaustive quantitative insights providing a clear picture of the market potential in various segments across the globe with country wise analysis in each discussed region. The key impacting factors of the market have been discussed in the report with the elaborated company profiles of Google, LLC (Kaggle), Appen Limited, Cogito Tech LLC, Telus International (Telus Corporation), Amazon Web Services, Inc., Microsoft Corporation, Scale AI Inc., Sama Inc., Alegion, and Kinetic Vision, Inc. (Deep Vision Data).
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