Global AI Training Data Market Research Report 2024

Publication ID:

PB506242102

Publication Date:

June 19, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

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 AI Training Data market was valued at US$ 1850 million in 2023 and is anticipated to reach US$ 8817.1 million by 2030, witnessing a CAGR of 23.5% during the forecast period 2024-2030.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.96%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for AI Training Data, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding AI Training Data.
Report Scope
The AI Training Data market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI Training Data market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the AI Training Data companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market 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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of AI Training Data companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

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

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Training Data Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Text
1.2.3 Image/Video
1.2.4 Audio
1.3 Market by Application
1.3.1 Global AI Training Data Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 IT
1.3.3 Automotive
1.3.4 Government
1.3.5 Healthcare
1.3.6 BFSI
1.3.7 Retail & E-commerce
1.3.8 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Training Data Market Perspective (2019-2030)
2.2 AI Training Data Growth Trends by Region
2.2.1 Global AI Training Data Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI Training Data Historic Market Size by Region (2019-2024)
2.2.3 AI Training Data Forecasted Market Size by Region (2025-2030)
2.3 AI Training Data Market Dynamics
2.3.1 AI Training Data Industry Trends
2.3.2 AI Training Data Market Drivers
2.3.3 AI Training Data Market Challenges
2.3.4 AI Training Data Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Training Data Players by Revenue
3.1.1 Global Top AI Training Data Players by Revenue (2019-2024)
3.1.2 Global AI Training Data Revenue Market Share by Players (2019-2024)
3.2 Global AI Training Data Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI Training Data Revenue
3.4 Global AI Training Data Market Concentration Ratio
3.4.1 Global AI Training Data Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Training Data Revenue in 2023
3.5 AI Training Data Key Players Head office and Area Served
3.6 Key Players AI Training Data Product Solution and Service
3.7 Date of Enter into AI Training Data Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Training Data Breakdown Data by Type
4.1 Global AI Training Data Historic Market Size by Type (2019-2024)
4.2 Global AI Training Data Forecasted Market Size by Type (2025-2030)
5 AI Training Data Breakdown Data by Application
5.1 Global AI Training Data Historic Market Size by Application (2019-2024)
5.2 Global AI Training Data Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI Training Data Market Size (2019-2030)
6.2 North America AI Training Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI Training Data Market Size by Country (2019-2024)
6.4 North America AI Training Data Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Training Data Market Size (2019-2030)
7.2 Europe AI Training Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI Training Data Market Size by Country (2019-2024)
7.4 Europe AI Training Data Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific AI Training Data Market Size (2019-2030)
8.2 Asia-Pacific AI Training Data Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI Training Data Market Size by Region (2019-2024)
8.4 Asia-Pacific AI Training Data Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America AI Training Data Market Size (2019-2030)
9.2 Latin America AI Training Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI Training Data Market Size by Country (2019-2024)
9.4 Latin America AI Training Data Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Training Data Market Size (2019-2030)
10.2 Middle East & Africa AI Training Data Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI Training Data Market Size by Country (2019-2024)
10.4 Middle East & Africa AI Training Data Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Google, LLC (Kaggle)
11.1.1 Google, LLC (Kaggle) Company Detail
11.1.2 Google, LLC (Kaggle) Business Overview
11.1.3 Google, LLC (Kaggle) AI Training Data Introduction
11.1.4 Google, LLC (Kaggle) Revenue in AI Training Data Business (2019-2024)
11.1.5 Google, LLC (Kaggle) Recent Development
11.2 Appen Limited
11.2.1 Appen Limited Company Detail
11.2.2 Appen Limited Business Overview
11.2.3 Appen Limited AI Training Data Introduction
11.2.4 Appen Limited Revenue in AI Training Data Business (2019-2024)
11.2.5 Appen Limited Recent Development
11.3 Cogito Tech LLC
11.3.1 Cogito Tech LLC Company Detail
11.3.2 Cogito Tech LLC Business Overview
11.3.3 Cogito Tech LLC AI Training Data Introduction
11.3.4 Cogito Tech LLC Revenue in AI Training Data Business (2019-2024)
11.3.5 Cogito Tech LLC Recent Development
11.4 Lionbridge Technologies, Inc.
11.4.1 Lionbridge Technologies, Inc. Company Detail
11.4.2 Lionbridge Technologies, Inc. Business Overview
11.4.3 Lionbridge Technologies, Inc. AI Training Data Introduction
11.4.4 Lionbridge Technologies, Inc. Revenue in AI Training Data Business (2019-2024)
11.4.5 Lionbridge Technologies, Inc. Recent Development
11.5 Amazon Web Services, Inc.
11.5.1 Amazon Web Services, Inc. Company Detail
11.5.2 Amazon Web Services, Inc. Business Overview
11.5.3 Amazon Web Services, Inc. AI Training Data Introduction
11.5.4 Amazon Web Services, Inc. Revenue in AI Training Data Business (2019-2024)
11.5.5 Amazon Web Services, Inc. Recent Development
11.6 Microsoft Corporation
11.6.1 Microsoft Corporation Company Detail
11.6.2 Microsoft Corporation Business Overview
11.6.3 Microsoft Corporation AI Training Data Introduction
11.6.4 Microsoft Corporation Revenue in AI Training Data Business (2019-2024)
11.6.5 Microsoft Corporation Recent Development
11.7 Scale AI, Inc.
11.7.1 Scale AI, Inc. Company Detail
11.7.2 Scale AI, Inc. Business Overview
11.7.3 Scale AI, Inc. AI Training Data Introduction
11.7.4 Scale AI, Inc. Revenue in AI Training Data Business (2019-2024)
11.7.5 Scale AI, Inc. Recent Development
11.8 Samasource Inc.
11.8.1 Samasource Inc. Company Detail
11.8.2 Samasource Inc. Business Overview
11.8.3 Samasource Inc. AI Training Data Introduction
11.8.4 Samasource Inc. Revenue in AI Training Data Business (2019-2024)
11.8.5 Samasource Inc. Recent Development
11.9 Alegion
11.9.1 Alegion Company Detail
11.9.2 Alegion Business Overview
11.9.3 Alegion AI Training Data Introduction
11.9.4 Alegion Revenue in AI Training Data Business (2019-2024)
11.9.5 Alegion Recent Development
11.10 Deep Vision Data
11.10.1 Deep Vision Data Company Detail
11.10.2 Deep Vision Data Business Overview
11.10.3 Deep Vision Data AI Training Data Introduction
11.10.4 Deep Vision Data Revenue in AI Training Data Business (2019-2024)
11.10.5 Deep Vision Data Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

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

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