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
- North America
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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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