Press Releases

AI Training Dataset Market Estimated to Cross US$ 14.5 Bn by 2030

The worldwide AI Training Dataset market measurement is anticipated to achieve USD 14.5 billion by 2030 and is anticipated to increase at a CAGR of 21.5% from 2021 to 2030.

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Growth Factors

 Artificial Intelligence (AI) technology is proliferating. As organizations are transitioning toward automation, the demand for technology is rising. The technology has provided unprecedented advances across various industry verticals, including marketing, healthcare, logistics, transportation, and many others. The benefits of integrating the technology across various operations of the organizations have outweighed its costs, thereby driving adoption.

Report Coverage

Report Scope Details
Market Size USD 14.5 billion by 2030
Growth Rate CAGR of 21.5% From 2021 to 2030
Base Year 2020
Historic Data 2017 to 2020
Forecast Period 2021 to 2030
Segments Covered Type, Vertical
Regional Scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Mentioned Google, LLC (Kaggle); Appen Limited; Cogito Tech LLC; Lionbridge Technologies, Inc.; Amazon Web Services, Inc.; Microsoft Corporation; Scale AI; Inc.; Samasource Inc.; Alegion; Deep Vision Data.

Report Highlights

The text segment caters to the AI training dataset market share of 32.9% in 2020. This is due to the high use of text datasets in the IT sector for various automation processes such as speech recognition, text classification, caption generation, and others. The audio segment is expected to hold a moderate share due to the availability of a wide range of audio datasets.

The image/video type segment is expected to register the highest CAGR in the forecast period. This is due to the rising focus of key players to launch new datasets with a rising number of applications.

The IT segment caters to the market share of 31.5% in 2020. Based on vertical, the market is segmented into it, automotive, government, healthcare, BFSI, retail and e-commerce and others. AI in healthcare offers various opportunities in therapy areas such as lifestyle and wellness management, diagnostics, virtual assistants, and wearables.

Various technology companies in the market are using machine learning technology to deliver an enhanced user experience and develop innovative products.

Key Players

  • Google, LLC (Kaggle)
  • Appen Limited
  • Cogito Tech LLC
  • Lionbridge Technologies, Inc.
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Scale AI Inc.
  • Samasource Inc.
  • Alegion
  • Deep Vision Data

Market Segmentation

  • Type
    • Text
    • Image/Video
    • Audio
  • Vertical
    • IT
    • Automotive
    • Government
    • Healthcare
    • BFSI
    • Retail & E-commerce
    • Others
  • Regional
    • North America
      • U.S.
      • Canada
      • Mexico
    • Europe
      • Germany
      • U.K.
      • France
    • Asia Pacific
      • China
      • Japan
      • India
    • South America
      • Brazil
    • Middle East and Africa

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Reasons to Purchase this Report:

– Market segmentation analysis including qualitative and quantitative research incorporating the impact of economic and policy aspects
– Regional and country level analysis integrating the demand and supply forces that are influencing the growth of the market.
– Market value USD Million and volume Units Million data for each segment and sub-segment
– Competitive landscape involving the market share of major players, along with the new projects and strategies adopted by players in the past five years
– Comprehensive company profiles covering the product offerings, key financial information, recent developments, SWOT analysis, and strategies employed by the major market players

Table of Contents

Chapter 1.  Introduction

1.1.  Research Objective

1.2.  Scope of the Study

1.3.  Definition

Chapter 2.  Research Methodology

2.1.  Research Approach

2.2.  Data Sources

2.3.  Assumptions & Limitations

Chapter 3.  Executive Summary

3.1.  Market Snapshot

Chapter 4.  Market Variables and Scope

4.1.  Introduction

4.2.  Market Classification and Scope

4.3.  Industry Value Chain Analysis

4.3.1.    Raw Material Procurement Analysis

4.3.2.    Sales and Distribution Channel Analysis

4.3.3.    Downstream Buyer Analysis

Chapter 5.  Market Dynamics Analysis and Trends

5.1.  Market Dynamics

5.1.1.    Market Drivers

5.1.2.    Market Restraints

5.1.3.    Market Opportunities

5.2.  Porter’s Five Forces Analysis

5.2.1.    Bargaining power of suppliers

5.2.2.    Bargaining power of buyers

5.2.3.    Threat of substitute

5.2.4.    Threat of new entrants

5.2.5.    Degree of competition

Chapter 6.  Competitive Landscape

6.1.1.    Company Market Share/Positioning Analysis

6.1.2.    Key Strategies Adopted by Players

6.1.3.    Vendor Landscape

6.1.3.1.        List of Suppliers

6.1.3.2.        List of Buyers

Chapter 7.  Global AI Training Dataset Market, By Type

7.1.  AI Training Dataset Market, by Type, 2021-2030

7.1.1.    Text

7.1.1.1.        Market Revenue and Forecast (2017-2030)

7.1.2.    Image/Video

7.1.2.1.        Market Revenue and Forecast (2017-2030)

7.1.3.    Audio

7.1.3.1.        Market Revenue and Forecast (2017-2030)

Chapter 8.  Global AI Training Dataset Market, By Vertical

8.1.  AI Training Dataset Market, by Vertical, 2021-2030

8.1.1.    IT

8.1.1.1.        Market Revenue and Forecast (2017-2030)

8.1.2.    Automotive

8.1.2.1.        Market Revenue and Forecast (2017-2030)

8.1.3.    Government

8.1.3.1.        Market Revenue and Forecast (2017-2030

8.1.4.    Healthcare

8.1.4.1.        Market Revenue and Forecast (2017-2030)

8.1.5.    BFSI

8.1.5.1.        Market Revenue and Forecast (2017-2030)

8.1.6.    Retail & E-commerce

8.1.6.1.        Market Revenue and Forecast (2017-2030)

8.1.7.    Others

8.1.7.1.        Market Revenue and Forecast (2017-2030)

Chapter 9.  Global AI Training Dataset Market, Regional Estimates and Trend Forecast

9.1.  North America

9.1.1.    Market Revenue and Forecast, by Type (2017-2030)

9.1.2.    Market Revenue and Forecast, by Vertical (2017-2030)

9.1.3.    U.S.

9.1.3.1.        Market Revenue and Forecast, by Type (2017-2030)

9.1.3.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.1.4.    Rest of North America

9.1.4.1.        Market Revenue and Forecast, by Type (2017-2030)

9.1.4.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.2.  Europe

9.2.1.    Market Revenue and Forecast, by Type (2017-2030)

9.2.2.    Market Revenue and Forecast, by Vertical (2017-2030)

9.2.3.    UK

9.2.3.1.        Market Revenue and Forecast, by Type (2017-2030)

9.2.3.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.2.4.    Germany

9.2.4.1.        Market Revenue and Forecast, by Type (2017-2030)

9.2.4.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.2.5.    France

9.2.5.1.        Market Revenue and Forecast, by Type (2017-2030)

9.2.5.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.2.6.    Rest of Europe

9.2.6.1.        Market Revenue and Forecast, by Type (2017-2030)

9.2.6.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.3.  APAC

9.3.1.    Market Revenue and Forecast, by Type (2017-2030)

9.3.2.    Market Revenue and Forecast, by Vertical (2017-2030)

9.3.3.    India

9.3.3.1.        Market Revenue and Forecast, by Type (2017-2030)

9.3.3.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.3.4.    China

9.3.4.1.        Market Revenue and Forecast, by Type (2017-2030)

9.3.4.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.3.5.    Japan

9.3.5.1.        Market Revenue and Forecast, by Type (2017-2030)

9.3.5.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.3.6.    Rest of APAC

9.3.6.1.        Market Revenue and Forecast, by Type (2017-2030)

9.3.6.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.4.  MEA

9.4.1.    Market Revenue and Forecast, by Type (2017-2030)

9.4.2.    Market Revenue and Forecast, by Vertical (2017-2030)

9.4.3.    GCC

9.4.3.1.        Market Revenue and Forecast, by Type (2017-2030)

9.4.3.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.4.4.    North Africa

9.4.4.1.        Market Revenue and Forecast, by Type (2017-2030)

9.4.4.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.4.5.    South Africa

9.4.5.1.        Market Revenue and Forecast, by Type (2017-2030)

9.4.5.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.4.6.    Rest of MEA

9.4.6.1.        Market Revenue and Forecast, by Type (2017-2030)

9.4.6.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.5.  Latin America

9.5.1.    Market Revenue and Forecast, by Type (2017-2030)

9.5.2.    Market Revenue and Forecast, by Vertical (2017-2030)

9.5.3.    Brazil

9.5.3.1.        Market Revenue and Forecast, by Type (2017-2030)

9.5.3.2.        Market Revenue and Forecast, by Vertical (2017-2030)

9.5.4.    Rest of LATAM

9.5.4.1.        Market Revenue and Forecast, by Type (2017-2030)

9.5.4.2.        Market Revenue and Forecast, by Vertical (2017-2030)

Chapter 10.  Company Profiles

10.1.              Google, LLC (Kaggle)

10.1.1.  Company Overview

10.1.2.  Type Offerings

10.1.3.  Financial Performance

10.1.4.  Recent Initiatives

10.2.              Appen Limited

10.2.1.  Company Overview

10.2.2.  Type Offerings

10.2.3.  Financial Performance

10.2.4.  Recent Initiatives

10.3.              Cogito Tech LLC

10.3.1.  Company Overview

10.3.2.  Type Offerings

10.3.3.  Financial Performance

10.3.4.  Recent Initiatives

10.4.              Lionbridge Technologies, Inc.

10.4.1.  Company Overview

10.4.2.  Type Offerings

10.4.3.  Financial Performance

10.4.4.  Recent Initiatives

10.5.              Amazon Web Services, Inc.

10.5.1.  Company Overview

10.5.2.  Type Offerings

10.5.3.  Financial Performance

10.5.4.  Recent Initiatives

10.6.              Microsoft Corporation

10.6.1.  Company Overview

10.6.2.  Type Offerings

10.6.3.  Financial Performance

10.6.4.  Recent Initiatives

10.7.              Scale AI Inc.

10.7.1.  Company Overview

10.7.2.  Type Offerings

10.7.3.  Financial Performance

10.7.4.  Recent Initiatives

10.8.              Samasource Inc.

10.8.1.  Company Overview

10.8.2.  Type Offerings

10.8.3.  Financial Performance

10.8.4.  Recent Initiatives

10.9.              Alegion

10.9.1.  Company Overview

10.9.2.  Type Offerings

10.9.3.  Financial Performance

10.9.4.  Recent Initiatives

10.10.           Deep Vision Data

10.10.1.               Company Overview

10.10.2.               Type Offerings

10.10.3.               Financial Performance

10.10.4.               Recent Initiatives

Chapter 11.  Research Methodology

11.1.              Primary Research

11.2.              Secondary Research

11.3.              Assumptions

Chapter 12.  Appendix

12.1.              About Us

12.2.              Glossary of Terms

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