U.S. AI Training Dataset Market Size Worth $2,137.26 Million By 2032 CAGR: 17.7%

U.S. AI Training Dataset Market Size Worth $2,137.26 Million By 2032 | CAGR: 17.7%

The U.S. AI Training Dataset market size is expected to reach USD 2,137.26 Million by 2032, according to a new study by Polaris Market Research. The report “U.S AI Training Dataset Market Share, Size, Trends, Industry Analysis Report, By Type (Audio, Image/Video, Text); By Vertical; Segment Forecast, 2024 - 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.

Artificial intelligence (AI) has application in machine learning, empowering systems to learn from experience without explicit programming autonomously. Machine learning is centered on developing software capable of acquiring and utilizing data to derive insights independently. The data utilized for constructing a machine learning model is termed AI training data. Additionally, the training dataset, data on regression coefficients, learning group, and terms training set are also attributed to AI training data.

Moreover, the rapid expansion of factors like machine learning and intelligence, coupled with the generation of vast volumes of data and technological advancements, predominantly propel the growth of the AI training dataset market. Nonetheless, limited technological expertise in developing regions poses a hindrance to market growth to some degree. Furthermore, the broadening scope of training datasets across various business verticals is anticipated to offer lucrative opportunities for the forecasted U.S. AI training dataset market.

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The emergence of the COVID-19 pandemic has spurred advancements in the utilization of apps and technology across various industries. Furthermore, it has accelerated the adoption of AI in sectors such as healthcare, intensifying the operational challenges faced by all sectors due to the crisis. In response, AI-based tools and solutions have seen widespread adoption across industries. Major market players are focusing on digital transformation, leading to a surge in demand for AI solutions. Consequently, these factors contribute to the favorable impact of the COVID-19 pandemic on the market for AI training datasets. Moreover, businesses have increasingly relied on sophisticated analytics and other AI-based technologies to ensure operational continuity during the pandemic. This growing reliance on cutting-edge technologies is expected to propel market growth in the foreseeable future further. Additionally, several sectors, including IT & automotive, healthcare, and e-commerce, are poised to expedite the adoption of AI training datasets, suggesting a faster expansion of the market during the forecast period.

AI Training Dataset Market Report Highlights

  • The U.S. AI training dataset market revenue share is dominated by the image/video segment in 2023, owing to the rising adoption of applications and the introduction of innovative datasets.
  • Throughout the forecasted period, the automotive segment has emerged as the leading revenue contributor and is poised for significant growth, notably fueled by the rising prevalence of autonomous vehicles.
  • The global key market players include Alegion, Amazon Web Services, Inc., Appen Limited, Cogito Tech LLC, Deep Vision Data, Google, LLC (Kaggle), Lionbridge Technologies, Inc., Microsoft Corporation, Samasource Inc., Scale AI Inc.

Polaris Market Research has segmented the U.S. AI Training Dataset market report based on type and vertical:

U.S. AI Training Dataset, Type Outlook (Revenue - USD Million, 2019 - 2032)

  • Audio
  • Image/Video
  • Text

U.S. AI Training Dataset, Vertical Outlook (Revenue - USD Million, 2019 - 2032)

  • Automotive
  • Healthcare
  • Retail & E-commerce
  • BFSI
  • Government
  • IT
  • Others

U.S AI Training Dataset Market Report Scope

Report Attributes


Market size value in 2024

USD 580.50 million

Revenue Forecast in 2032

USD 2,137.26 million


17.7% from 2024 – 2032

Base year


Historical data

2019 – 2022

Forecast period

2024 – 2032

Quantitative units

Revenue in USD million and CAGR from 2024 to 2032

Segments Covered

By Type By Vertical


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