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AI Training Dataset Market Size, Share & Trends Analysis Report by Type (Text, Image/Video, Audio), by Vertical (IT, Automotive, Government, Healthcare, BFSI), by Regions, and Segment Forecasts, 2022-2030

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    Report

  • 100 Pages
  • April 2022
  • Region: Global
  • Grand View Research
  • ID: 5440500
The global AI training dataset market size is expected to reach USD 8,607.1 million by 2030. The market is anticipated to expand at a CAGR of 22.2% from 2022 to 2030. Artificial intelligence technology is proliferating. As organizations are transitioning towards 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 multiple operations of the organizations have outweighed its costs, thereby driving adoption.



Due to the rapid adoption of artificial intelligence technology, the need for training datasets is rising exponentially. To make the technology more versatile and accurate with its predictions, many companies are entering the market by releasing various datasets operating across different use cases to train the machine learning algorithm. Such factors are substantially contributing to market growth. Prominent market participants such as Google, Microsoft, Apple Inc, Amazon have been focusing on developing various artificial intelligence training datasets. For instance, in September 2021, Amazon launched a new dataset of commonsense dialogue to aid research in open-domain conversation.

Factors such as the cultivation of new high-quality datasets to speed up the development of AI technology and deliver accurate results are driving the market growth. For instance, in January 2019, IBM Corporation, a technology company, announced the release of a new dataset that comprises 1 million images of faces. This dataset was released to help developers train their face recognition systems supported by artificial intelligence technology with a diverse dataset. This dataset will allow them to increase the accuracy of face identification. For instance, in May 2021, IBM launched a new data set called CodeNet with 14 million sample sets to develop machine learning models that can help in programming tasks.

AI Training Dataset Market Report Highlights

  • Increasing creation of synthetic training data for unsupervised and supervised training of machine learning algorithms is driving the adoption of datasets by organizations thereby catalyzing market growth .
  • The image/video segment is expected to portray a high growth rate, with a CAGR of approximately 25.0% over the projected period.
  • In Asia Pacific, the market is expected to have significant growth over the forecast period, owing to the substantial adoption of AI technology.


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Frequently Asked Questions about the Global AI Training Dataset Market

What is the estimated value of the Global AI Training Dataset Market?

The Global AI Training Dataset Market was estimated to be valued at $1728.2 Million in 2022.

What is the growth rate of the Global AI Training Dataset Market?

The growth rate of the Global AI Training Dataset Market is 22.2%, with an estimated value of $8607.1 Million by 2030.

What is the forecasted size of the Global AI Training Dataset Market?

The Global AI Training Dataset Market is estimated to be worth $8607.1 Million by 2030.

Who are the key companies in the Global AI Training Dataset Market?

Key companies in the Global AI Training Dataset Market include Google, LLC (Kaggle), Appen Limited, Cogito Tech LLC, Lionbridge Technologies, Inc., Amazon Web Services, Inc., Microsoft Corporation, Scale AI, Inc., Samasource Inc. and Deep Vision Data.

Table of Contents

Chapter 1 Methodology and Scope
1.1 Market Segmentation & Scope
1.2 Market Definition
1.3 Information Procurement
1.4 Information Analysis
1.5 Market formulation & data visualization
1.5.1 Secondary sources & third-party perspectives
1.5.2 Primary research
1.6 Research Scope & Assumptions
Chapter 2 Executive Summary
2.1 Market Outlook
2.2 Segmental Outlook
2.2.1 Type
2.2.2 Vertical
Chapter 3 AI Training Dataset Market Variables, Trends & Scope
3.1 Market Segmentation & Scope
3.2 AI Training Dataset Market Penetration and Growth Prospects
3.3 AI Training Dataset-Process Flow and Value Chain Analysis
3.4 Market Dynamics
3.4.1 Market Drivers
3.4.1.1 Rapid growth of AI and machine learning
3.4.1.2 Growing applications of training dataset across diversified industry verticals
3.4.2 Market Restraints
3.4.2.1 Lack of technological adoption in developing regions
3.5 Industry Analysis-Porter’s Five Forces
3.5.1 Supplier Power: Low
3.5.2 Buyer Power
3.5.3 Substitution Threat
3.5.4 Threat from new entrant
3.5.5 Competitive rivalry
3.6 AI Training Dataset-PEST Analysis
3.6.1 Political
3.6.2 Economic
3.6.3 Social
3.6.4 Technological
Chapter 4 AI Training Dataset: Type Estimates and Trend Analysis
4.1 AI Training Dataset Market: Type Movement Analysis
4.1.1 Text
4.1.1.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
4.1.2 Image/Video
4.1.2.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
4.1.3 Audio
4.1.3.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
Chapter 5 AI Training Dataset: Vertical Estimates and Trend Analysis
5.1 AI Training Dataset Market: Vertical Movement Analysis
5.1.1 IT
5.1.1.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.2 Automotive
5.1.2.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.3 Government
5.1.3.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.4 Healthcare
5.1.4.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.5 BFSI
5.1.5.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.6 Retail & E-commerce
5.1.6.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
5.1.7 Others
5.1.7.1 Global Market Estimates and Forecasts, from 2017 to 2030 (USD Million)
Chapter 6 AI Training Dataset: Regional Estimates & Trend Analysis
6.1 AI training dataset market share by region, 2021 & 2030
6.2 North America
6.2.1 North America AI training dataset market, 2017-2030
6.2.1.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.2.1.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.2.2 U.S.
6.2.2.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.2.2.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.2.3 Canada
6.2.3.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.2.3.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.2.4 Mexico
6.2.4.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.2.4.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.3 Europe
6.3.1 Europe AI training dataset market, 2017-2030
6.3.2 Germany
6.3.2.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.3.2.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.3.3 U.K.
6.3.3.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.3.3.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.3.4 France
6.3.4.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.3.4.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.4 Asia Pacific
6.4.1 Asia Pacific AI training dataset market, 2017-2030
6.4.1.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.4.1.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.4.2 China
6.4.2.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.4.2.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.4.4 Japan
6.4.4.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.4.4.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.4.5 India
6.4.5.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.4.5.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.5 South America
6.5.1 South America AI training dataset marketplace: Key takeaways
6.5.2 South America AI training dataset market, 2017-2030
6.5.3 Brazil
6.5.3.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.5.3.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
6.6 MEA
6.6.1 MEA AI training dataset marketplace: Key takeaways
6.6.2 MEA AI training dataset market, 2017-2030
6.6.2.1 Market Estimates and Forecasts, by type from 2017 to 2030 (USD Million)
6.6.2.2 Market Estimates and Forecasts, by vertical from 2017 to 2030 (USD Million)
Chapter 7 Competitive Landscape
7.1 Google, LLC (Kaggle)
7.1.1 Company overview
7.2.2 Financial performance
7.2.3 Product benchmarking
7.2.4 Recent developments
7.2 Appen Limited
7.2.1 Company overview
7.2.2 Financial performance
7.2.3 Product benchmarking
7.2.4 Recent developments
7.3 Cogito Tech LLC
7.3.1 Company overview
7.3.2 Financial performance
7.3.3 Product benchmarking
7.3.4 Recent developments
7.4 Lionbridge Technologies, Inc.
7.4.1 Company overview
7.4.2 Financial performance
7.4.3 Product benchmarking
7.4.4 Recent developments
7.5 Amazon Web Services, Inc.
7.5.1 Company overview
7.5.2 Product benchmarking
7.5.3 Recent developments
7.6 Microsoft Corporation
7.6.1 Company overview
7.6.2 Financial performance
7.6.3 Product benchmarking
7.6.4 Recent developments
7.7 Scale AI, Inc.
7.7.1 Company overview
7.7.2 Financial performance
7.7.3 Product benchmarking
7.7.4 Recent developments
7.8 Samasource Inc.
7.8.1 Company overview
7.8.2 Financial performance
7.8.3 Product benchmarking
7.8.4 Recent developments
7.9 Alegion
7.9.1 Company overview
7.9.2 Financial performance
7.9.3 Product benchmarking
7.9.4 Recent developments
7.10 Deep Vision Data
7.10.1 Company overview
7.10.2 Product benchmarking

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

Methodology

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