AI Training Dataset - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510242991

Publication Date:

October 28, 2024

Pages:

111

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

Training data is the textbook that will teach your AI to do its assigned task, and will be used over and over again to fine-tune its predictions and improve its success rate. Your AI will use training data in several different ways, all with the aim of improving the accuracy of its predictions. It does this through the variables contained in the data. By identifying these and evaluating their impact on the algorithm, data scientists can strengthen their AI through copious adjustments. The best data will be extremely rich in detail, capable of improving your AI after hundreds of training cycles by hinting at a wide range of variables that affect your algorithm.
The global market for AI Training Dataset was estimated to be worth US$ 1850 million in 2023 and is forecast to a readjusted size of US$ 8817.1 million by 2030 with a CAGR of 23.5% during the forecast period 2024-2030
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/110 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Training Dataset, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Training Dataset by region & country, by Type, and by Application.
The AI Training Dataset market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Training Dataset.
麻豆原创 Segmentation
By Company
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
Segment by Type:
Text
Image/Video
Audio
Segment by Application
IT
Automotive
Government
Healthcare
BFSI
Retail & E-commerce
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of AI Training Dataset manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of AI Training Dataset in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of AI Training Dataset in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 AI Training Dataset Product Introduction
1.2 Global AI Training Dataset 麻豆原创 Size Forecast
1.3 AI Training Dataset 麻豆原创 Trends & Drivers
1.3.1 AI Training Dataset Industry Trends
1.3.2 AI Training Dataset 麻豆原创 Drivers & Opportunity
1.3.3 AI Training Dataset 麻豆原创 Challenges
1.3.4 AI Training Dataset 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Training Dataset Players Revenue Ranking (2023)
2.2 Global AI Training Dataset Revenue by Company (2019-2024)
2.3 Key Companies AI Training Dataset Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Training Dataset Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Training Dataset
2.6 AI Training Dataset 麻豆原创 Competitive Analysis
2.6.1 AI Training Dataset 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI Training Dataset Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Training Dataset as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Text
3.1.2 Image/Video
3.1.3 Audio
3.2 Global AI Training Dataset Sales Value by Type
3.2.1 Global AI Training Dataset Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI Training Dataset Sales Value, by Type (2019-2030)
3.2.3 Global AI Training Dataset Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 IT
4.1.2 Automotive
4.1.3 Government
4.1.4 Healthcare
4.1.5 BFSI
4.1.6 Retail & E-commerce
4.1.7 Others
4.2 Global AI Training Dataset Sales Value by Application
4.2.1 Global AI Training Dataset Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI Training Dataset Sales Value, by Application (2019-2030)
4.2.3 Global AI Training Dataset Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI Training Dataset Sales Value by Region
5.1.1 Global AI Training Dataset Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI Training Dataset Sales Value by Region (2019-2024)
5.1.3 Global AI Training Dataset Sales Value by Region (2025-2030)
5.1.4 Global AI Training Dataset Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI Training Dataset Sales Value, 2019-2030
5.2.2 North America AI Training Dataset Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI Training Dataset Sales Value, 2019-2030
5.3.2 Europe AI Training Dataset Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI Training Dataset Sales Value, 2019-2030
5.4.2 Asia Pacific AI Training Dataset Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI Training Dataset Sales Value, 2019-2030
5.5.2 South America AI Training Dataset Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Training Dataset Sales Value, 2019-2030
5.6.2 Middle East & Africa AI Training Dataset Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Training Dataset Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI Training Dataset Sales Value
6.3 United States
6.3.1 United States AI Training Dataset Sales Value, 2019-2030
6.3.2 United States AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI Training Dataset Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI Training Dataset Sales Value, 2019-2030
6.4.2 Europe AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI Training Dataset Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI Training Dataset Sales Value, 2019-2030
6.5.2 China AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI Training Dataset Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI Training Dataset Sales Value, 2019-2030
6.6.2 Japan AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI Training Dataset Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI Training Dataset Sales Value, 2019-2030
6.7.2 South Korea AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI Training Dataset Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI Training Dataset Sales Value, 2019-2030
6.8.2 Southeast Asia AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI Training Dataset Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI Training Dataset Sales Value, 2019-2030
6.9.2 India AI Training Dataset Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI Training Dataset Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Google, LLC (Kaggle)
7.1.1 Google, LLC (Kaggle) Profile
7.1.2 Google, LLC (Kaggle) Main Business
7.1.3 Google, LLC (Kaggle) AI Training Dataset Products, Services and Solutions
7.1.4 Google, LLC (Kaggle) AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.1.5 Google, LLC (Kaggle) Recent Developments
7.2 Appen Limited
7.2.1 Appen Limited Profile
7.2.2 Appen Limited Main Business
7.2.3 Appen Limited AI Training Dataset Products, Services and Solutions
7.2.4 Appen Limited AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.2.5 Appen Limited Recent Developments
7.3 Cogito Tech LLC
7.3.1 Cogito Tech LLC Profile
7.3.2 Cogito Tech LLC Main Business
7.3.3 Cogito Tech LLC AI Training Dataset Products, Services and Solutions
7.3.4 Cogito Tech LLC AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.3.5 Lionbridge Technologies, Inc. Recent Developments
7.4 Lionbridge Technologies, Inc.
7.4.1 Lionbridge Technologies, Inc. Profile
7.4.2 Lionbridge Technologies, Inc. Main Business
7.4.3 Lionbridge Technologies, Inc. AI Training Dataset Products, Services and Solutions
7.4.4 Lionbridge Technologies, Inc. AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.4.5 Lionbridge Technologies, Inc. Recent Developments
7.5 Amazon Web Services, Inc.
7.5.1 Amazon Web Services, Inc. Profile
7.5.2 Amazon Web Services, Inc. Main Business
7.5.3 Amazon Web Services, Inc. AI Training Dataset Products, Services and Solutions
7.5.4 Amazon Web Services, Inc. AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.5.5 Amazon Web Services, Inc. Recent Developments
7.6 Microsoft Corporation
7.6.1 Microsoft Corporation Profile
7.6.2 Microsoft Corporation Main Business
7.6.3 Microsoft Corporation AI Training Dataset Products, Services and Solutions
7.6.4 Microsoft Corporation AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft Corporation Recent Developments
7.7 Scale AI, Inc.
7.7.1 Scale AI, Inc. Profile
7.7.2 Scale AI, Inc. Main Business
7.7.3 Scale AI, Inc. AI Training Dataset Products, Services and Solutions
7.7.4 Scale AI, Inc. AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.7.5 Scale AI, Inc. Recent Developments
7.8 Samasource Inc.
7.8.1 Samasource Inc. Profile
7.8.2 Samasource Inc. Main Business
7.8.3 Samasource Inc. AI Training Dataset Products, Services and Solutions
7.8.4 Samasource Inc. AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.8.5 Samasource Inc. Recent Developments
7.9 Alegion
7.9.1 Alegion Profile
7.9.2 Alegion Main Business
7.9.3 Alegion AI Training Dataset Products, Services and Solutions
7.9.4 Alegion AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.9.5 Alegion Recent Developments
7.10 Deep Vision Data
7.10.1 Deep Vision Data Profile
7.10.2 Deep Vision Data Main Business
7.10.3 Deep Vision Data AI Training Dataset Products, Services and Solutions
7.10.4 Deep Vision Data AI Training Dataset Revenue (US$ Million) & (2019-2024)
7.10.5 Deep Vision Data Recent Developments
8 Industry Chain Analysis
8.1 AI Training Dataset Industrial Chain
8.2 AI Training Dataset Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 AI Training Dataset Sales Model
8.5.2 Sales Channel
8.5.3 AI Training Dataset Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

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

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.