Global AI Training Dataset Industry Outlook to 2030, Featuring Profiles of Key Players, Including Google (Kaggle), Appen, Cogito Tech, and Lionbridge Technologies - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "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" report has been added to ResearchAndMarkets.com's offering.

The global AI training dataset market 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.

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.

Key Topics Covered

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

4.1.2 Image/Video

4.1.3 Audio

Chapter 5 AI Training Dataset: Vertical Estimates and Trend Analysis

5.1 AI Training Dataset Market: Vertical Movement Analysis

5.1.1 IT

5.1.2 Automotive

5.1.3 Government

5.1.4 Healthcare

5.1.5 BFSI

5.1.6 Retail & E-commerce

5.1.7 Others

Chapter 6 AI Training Dataset: Regional Estimates & Trend Analysis

6.1 AI training dataset market share by region, 2021 & 2030

6.2 North America

6.3 Europe

6.4 Asia Pacific

6.5 South America

6.6 MEA

Chapter 7 Competitive Landscape

7.1 Google, LLC (Kaggle)

7.2 Appen Limited

7.3 Cogito Tech LLC

7.4 Lionbridge Technologies, Inc.

7.5 Amazon Web Services, Inc.

7.6 Microsoft Corporation

7.7 Scale AI, Inc.

7.8 Samasource Inc.

7.9 Alegion

7.10 Deep Vision Data

For more information about this report visit https://www.researchandmarkets.com/r/ndcu1j