Summary

Global AI Training Dataset Market is valued approximately USD 1.15 billion in 2020 and is anticipated to grow with a healthy growth rate of more than 19.50 % over the forecast period 2021-2027. AI Training data is basically used to provide AI based training and machine learning data to make necessary decisions. For example, if a model for a self-driving car is build, the training dataset will include videos and images labeled to recognize street signs, car signals vs people. Rise in demand of artificial intelligence in various applications such as video, audio recognition pushes the market growth of AI training dataset. For Instance: according to IRDS International Roadmap for Devices The global AI market is estimated to attain USD 390.9 billion by 2025, with CAGR of 55.6%. It also states that AI applications, industrial robotics industries in the big data, medical, video and audio recognition, and autonomous vehicles, can provide those opportunities. Increasing adoption of AI and machine learning by government, defense, and private organization will enhance the market growth However, complex implementation and lack of technical active understanding impedes the growth of the market over the forecast period of 2021-2027. Also, rise in adoption for human and machine interaction is likely to increase the market growth during the forecast period.

The regional analysis of global AI Training Dataset Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading region across the world in terms of market share owing to the vendors actively focusing on launching latest datasets to enhance the adoption of AI technology various sectors. Whereas Asia-Pacific is also anticipated to exhibit highest growth rate over the forecast period 2021-2027. Factors such as increasing adoption rate of rising technologies would create lucrative growth prospects for the AI Training Dataset Market across Asia-Pacific region.

Major market player included in this report are:
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

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Type:
Text
Image/Video
Audio
By Vertical:
IT
Automotive, Government
Healthcare
BFSI
By Region:
North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027

Target Audience of the Global AI Training Dataset Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors

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Table of Contents

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Global AI Training Dataset Market, by Region, 2019-2027 (USD Billion)
1.2.2. Global AI Training Dataset Market, by Type, 2019-2027 (USD Billion)
1.2.3. Global AI Training Dataset Market, by Vertical, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global AI Training Dataset Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global AI Training Dataset Market Dynamics
3.1. AI Training Dataset Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Rise in demand of artificial intelligence in various applications
3.1.1.2. Increasing adoption of AI and machine learning by government, defence, and private organizations.
3.1.2. Market Challenges
3.1.2.1. Complex implementation and lack of technical active understanding
3.1.3. Market Opportunities
3.1.3.1. Rise in adoption for human and machine interaction
Chapter 4. Global AI Training Dataset Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global AI Training Dataset Market, by Type
5.1. Market Snapshot
5.2. Global AI Training Dataset Market by Type, Performance - Potential Analysis
5.3. Global AI Training Dataset Market Estimates & Forecasts by Type 2018-2027 (USD Billion)
5.4. Global AI Training Dataset Market, Sub Segment Analysis
5.4.1. Text
5.4.2. Image/Video
5.4.3. Audio
Chapter 6. Global AI Training Dataset Market, by Vertical,
6.1. Market Snapshot
6.2. Global AI Training Dataset Market by Vertical, Performance - Potential Analysis
6.3. Global AI Training Dataset Market Estimates & Forecasts by Vertical, 2018-2027 (USD Billion)
6.4. Global AI Training Dataset Market, Sub Segment Analysis
6.4.1. IT
6.4.2. Automotive
6.4.3. Government
6.4.4. Healthcare
6.4.5. BFSI
Chapter 7. Global AI Training Dataset Market, Regional Analysis
7.1. Global AI Training Dataset Market, Regional Market Snapshot
7.2. North America AI Training Dataset Market
7.2.1. U.S. AI Training Dataset Market
7.2.1.1. Type breakdown estimates & forecasts, 2018-2027
7.2.1.2. Vertical breakdown estimates & forecasts, 2018-2027
7.2.2. Canada AI Training Dataset Market
7.3. Europe AI Training Dataset Market Snapshot
7.3.1. U.K. AI Training Dataset Market
7.3.2. Germany AI Training Dataset Market
7.3.3. France AI Training Dataset Market
7.3.4. Spain AI Training Dataset Market
7.3.5. Italy AI Training Dataset Market
7.3.6. Rest of Europe AI Training Dataset Market
7.4. Asia-Pacific AI Training Dataset Market Snapshot
7.4.1. China AI Training Dataset Market
7.4.2. India AI Training Dataset Market
7.4.3. Japan AI Training Dataset Market
7.4.4. Australia AI Training Dataset Market
7.4.5. South Korea AI Training Dataset Market
7.4.6. Rest of Asia Pacific AI Training Dataset Market
7.5. Latin America AI Training Dataset Market Snapshot
7.5.1. Brazil AI Training Dataset Market
7.5.2. Mexico AI Training Dataset Market
7.6. Rest of The World AI Training Dataset Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Google, LLC (Kaggle)
8.2.1.1. Key Information
8.2.1.2. Overview
8.2.1.3. Financial (Subject to Data Availability)
8.2.1.4. Product Summary
8.2.1.5. Recent Developments
8.2.2. Deep Vision Data
8.2.3. Appen Limited
8.2.4. Cogito Tech LLC
8.2.5. Lionbridge Technologies, Inc.
8.2.6. Amazon Web Services, Inc.
8.2.7. Microsoft Corporation
8.2.8. Scale AI Inc.
8.2.9. Samasource Inc.
8.2.10. Alegion
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption