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全球人工智慧訓練資料集市場研究報告 - 行業分析、規模、佔有率、成長、趨勢及2023年至2030年預測

市場調查報告書

商品編碼

1306972

全球人工智慧訓練資料集市場研究報告 - 行業分析、規模、佔有率、成長、趨勢及2023年至2030年預測

Global AI Training Dataset Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

出版日期: 2023年06月01日 | 出版商:

Value Market Research | 英文 139 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄圖表

預計到2030年，全球人工智慧訓練資料集市場需求將從2022年的27.3億美元達到近144億美元，2023-2030年的年複合成長率為23.1%。

人工智慧訓練資料集是用於訓練人工智慧（AI）模型或算法的資料集合。它是人工智慧系統學習模式、進行預測或執行特定任務的輸入。訓練資料集的品質和相關性在很大程度上影響著人工智慧模型的性能和準確性。

市場動態：

人工智慧在醫療保健、金融、零售、製造和運輸等各行各業的廣泛採用推動了對訓練資料集的需求。隨著越來越多的企業認知到人工智慧在推動創新、最佳化流程和獲得競爭優勢方面的潛力，對高品質訓練資料的需求變得非常重要。人工智慧模型目前正針對專業和細分領域進行開發，例如醫療診斷、自動駕駛汽車、自然語言處理和工業自動化。這些領域需要特定領域的訓練資料集，以捕捉各自領域的獨特特徵、挑戰和細微差別。企業擴大尋求符合隱私法規的訓練資料，以確保在人工智慧模型開發中以道德和負責任的方式使用資料。群眾外包平台和線上社區已成為訓練資料生成和註釋的寶貴來源。群眾外包的協作性質使得大規模訪問各種資料整合為可能。這些因素共同促進了人工智慧訓練資料集市場的成長和發展。高品質、多樣化和精心整理的訓練資料集的可用性對於推動人工智慧在各行業和領域的發展和部署非常重要。

研究涵蓋波特五力模型、市場吸引力分析和價值鏈分析。這些工具有助於清晰了解行業結構，評估全球競爭吸引力。此外，這些工具還對全球ai培訓資料集市場的各個細分市場進行了全面評估。 ai培訓資料集行業的成長和趨勢為本研究提供了整體方法。

區域分析：

這部分涵蓋了區域前景，突出了北美、歐洲、亞太、拉丁美洲、中東和非洲地區人工智慧培訓資料集市場的當前和未來需求。此外，這部分還重點關注所有主要地區各個應用領域的需求、估計和預測。

本研究還涵蓋了市場主要參與者的綜合概況以及全球競爭格局的深入分析。人工智慧訓練資料集市場的主要參與者包括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。本部分包括競爭格局的整體視圖，其中包括各種戰略發展，如關鍵併購、未來能力、合作夥伴關係、財務概況、合作、新產品開發、新產品發布和其他發展。

如果您有任何客製化要求，請聯繫我們。我們的研究團隊可以根據您的需求提供客製化服務。

地區前景
地區介紹
北美銷售分析
- 概述、歷史和預測資料銷售分析
- 北美細分市場銷售分析
- 北美各國銷售分析
- 美國銷售分析
- 加拿大銷售分析
- 墨西哥銷售分析
歐洲銷售分析
- 概述、歷史和預測資料銷售分析
- 歐洲各細分市場銷售分析
- 歐洲各國銷售分析
- 英國銷售分析
- 法國銷售分析
- 德國銷售分析
- 義大利銷售分析
- 俄羅斯銷售分析
- 歐洲其他地區銷售分析
亞太地區銷售分析
- 概述、歷史和預測資料銷售分析
- 亞太地區細分市場銷售分析
- 亞太地區各國銷售分析
- 中國銷售分析
- 印度銷售分析
- 日本銷售分析
- 韓國銷售分析
- 澳洲銷售分析
- 亞太其他地區銷售分析
拉丁美洲銷售分析
- 概述、歷史和預測資料銷售分析
- 拉丁美洲各細分市場銷售分析
- 拉丁美洲各國銷售分析
- 巴西銷售分析
- 阿根廷銷售分析
- 秘魯銷售分析
- 智利銷售分析
- 拉丁美洲其他地區銷售分析
中東和非洲銷售分析
- 概述、歷史和預測資料銷售分析
- 中東及非洲各細分市場銷售分析
- 中東及非洲國家銷售分析
- 沙烏地阿拉伯銷售分析
- 阿拉伯聯合大公國銷售分析
- 以色列銷售分析
- 南非銷售分析
- 中東及非洲其他地區銷售分析

第8章: AI培訓資料集企業競爭格局

人工智慧訓練資料集市場競爭
夥伴關係/合作/協議
合併與收購
新產品發布
其他發展

第9章: 公司概況

頂級公司市場佔有率分析
市場集中度
Google LLC (Kaggle)
- 公司概況
- 公司收入
- 產品
- 近期發展
Appen Limited
- 公司概況
- 公司收入
- 產品
- 近期發展
Cogito Tech LLC
- 公司概況
- 公司收入
- 產品
- 近期發展
Lionbridge Technologies Inc.
- 公司概況
- 公司收入
- 產品
- 近期發展
Amazon Web Services Inc.
- 公司概況
- 公司收入
- 產品
- 近期發展
Microsoft Corporation
- 公司概況
- 公司收入
- 產品
- 近期發展
Scale AI Inc.
- 公司概況
- 公司收入
- 產品
- 近期發展
Samasource Inc.
- 公司概況
- 公司收入
- 產品
- 近期發展
Alegion
- 公司概況
- 公司收入
- 產品
- 近期發展
Deep Vision Data.
- 公司概況
- 公司收入
- 產品
- 近期發展

注-在公司概況中，財務細節和近期發展視情況而定，如果是私營公司則可能不包括在內。

簡介目錄圖表

Product Code: VMR112111308

The global demand for AI Training Dataset Market is presumed to reach the market size of nearly USD 14.4 BN by 2030 from USD 2.73 BN in 2022 with a CAGR of 23.1% under the study period 2023 - 2030.

An AI training dataset is a collection of data that is used to train an artificial intelligence (AI) model or algorithm. It serves as the input for the AI system to learn patterns, make predictions, or perform specific tasks. The quality and relevance of the training dataset significantly influence the performance and accuracy of the AI model.

MARKET DYNAMICS:

The widespread adoption of AI across various industries, including healthcare, finance, retail, manufacturing, and transportation, drives the demand for training datasets. As more organizations recognize the potential of AI to drive innovation, optimize processes, and gain competitive advantages, the need for high-quality training data becomes paramount. AI models are now being developed for specialized and niche domains, such as medical diagnosis, autonomous vehicles, natural language processing, and industrial automation. These domains require domain-specific training datasets that capture the unique characteristics, challenges, and nuances of the respective fields. Organizations are increasingly seeking training data that is compliant with privacy regulations to ensure the ethical and responsible use of data in AI model development. Crowdsourcing platforms and online communities have emerged as valuable sources for training data generation and annotation. The collaborative nature of crowdsourcing enables access to diverse datasets at scale. These factors collectively contribute to the growth and development of the AI training dataset market. The availability of high-quality, diverse, and well-curated training datasets is essential to drive the advancement and deployment of AI across industries and domains.

The research covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai training dataset. The growth and trends of ai training dataset industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the ai training dataset market provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Type

Text
Image/Video
Audio

By Vertical

IT
Automotive
Government
Healthcare
Bfsi
Retail & E-Commerce
Others

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the AI Training Dataset market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI training dataset market include 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. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized as per your need.

1 . PREFACE

1.1. Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . AI TRAINING DATASET - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Type
- 3.7.2 Market Attractiveness Analysis By Vertical
- 3.7.3 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL AI TRAINING DATASET MARKET ANALYSIS BY TYPE

5.1 Overview by Type
5.2 Historical and Forecast Data
5.3 Analysis by Type
5.4 Text Historic and Forecast Sales by Regions
5.5 Image/Video Historic and Forecast Sales by Regions
5.6 Audio Historic and Forecast Sales by Regions

6 . GLOBAL AI TRAINING DATASET MARKET ANALYSIS BY VERTICAL

6.1 Overview by Vertical
6.2 Historical and Forecast Data
6.3 Analysis by Vertical
6.4 IT Historic and Forecast Sales by Regions
6.5 Automotive Historic and Forecast Sales by Regions
6.6 Government Historic and Forecast Sales by Regions
6.7 Healthcare Historic and Forecast Sales by Regions
6.8 BFSI Historic and Forecast Sales by Regions
6.9 Retail & E-commerce Historic and Forecast Sales by Regions
6.10. Others Historic and Forecast Sales by Regions

7 . GLOBAL AI TRAINING DATASET MARKET ANALYSIS BY GEOGRAPHY

7.1. Regional Outlook
7.2. Introduction
7.3. North America Sales Analysis
- 7.3.1. Overview, Historic and Forecast Data Sales Analysis
- 7.3.2. North America By Segment Sales Analysis
- 7.3.3. North America By Country Sales Analysis
- 7.3.4. United State Sales Analysis
- 7.3.5. Canada Sales Analysis
- 7.3.6. Mexico Sales Analysis
7.4. Europe Sales Analysis
- 7.4.1. Overview, Historic and Forecast Data Sales Analysis
- 7.4.2. Europe by Segment Sales Analysis
- 7.4.3. Europe by Country Sales Analysis
- 7.4.4. United Kingdom Sales Analysis
- 7.4.5. France Sales Analysis
- 7.4.6. Germany Sales Analysis
- 7.4.7. Italy Sales Analysis
- 7.4.8. Russia Sales Analysis
- 7.4.9. Rest Of Europe Sales Analysis
7.5. Asia Pacific Sales Analysis
- 7.5.1. Overview, Historic and Forecast Data Sales Analysis
- 7.5.2. Asia Pacific by Segment Sales Analysis
- 7.5.3. Asia Pacific by Country Sales Analysis
- 7.5.4. China Sales Analysis
- 7.5.5. India Sales Analysis
- 7.5.6. Japan Sales Analysis
- 7.5.7. South Korea Sales Analysis
- 7.5.8. Australia Sales Analysis
- 7.5.9. Rest Of Asia Pacific Sales Analysis
7.6. Latin America Sales Analysis
- 7.6.1. Overview, Historic and Forecast Data Sales Analysis
- 7.6.2. Latin America by Segment Sales Analysis
- 7.6.3. Latin America by Country Sales Analysis
- 7.6.4. Brazil Sales Analysis
- 7.6.5. Argentina Sales Analysis
- 7.6.6. Peru Sales Analysis
- 7.6.7. Chile Sales Analysis
- 7.6.8. Rest of Latin America Sales Analysis
7.7. Middle East & Africa Sales Analysis
- 7.7.1. Overview, Historic and Forecast Data Sales Analysis
- 7.7.2. Middle East & Africa by Segment Sales Analysis
- 7.7.3. Middle East & Africa by Country Sales Analysis
- 7.7.4. Saudi Arabia Sales Analysis
- 7.7.5. UAE Sales Analysis
- 7.7.6. Israel Sales Analysis
- 7.7.7. South Africa Sales Analysis
- 7.7.8. Rest Of Middle East And Africa Sales Analysis

8 . COMPETITIVE LANDSCAPE OF THE AI TRAINING DATASET COMPANIES

8.1. Ai Training Dataset Market Competition
8.2. Partnership/Collaboration/Agreement
8.3. Merger And Acquisitions
8.4. New Product Launch
8.5. Other Developments

9 . COMPANY PROFILES OF AI TRAINING DATASET INDUSTRY

9.1. Top Companies Market Share Analysis
9.2. Market Concentration Rate
9.3. Google LLC (Kaggle)
- 9.3.1. Company Overview
- 9.3.2. Company Revenue
- 9.3.3. Products
- 9.3.4. Recent Developments
9.4. Appen Limited
- 9.4.1. Company Overview
- 9.4.2. Company Revenue
- 9.4.3. Products
- 9.4.4. Recent Developments
9.5. Cogito Tech LLC
- 9.5.1. Company Overview
- 9.5.2. Company Revenue
- 9.5.3. Products
- 9.5.4. Recent Developments
9.6. Lionbridge Technologies Inc.
- 9.6.1. Company Overview
- 9.6.2. Company Revenue
- 9.6.3. Products
- 9.6.4. Recent Developments
9.7. Amazon Web Services Inc.
- 9.7.1. Company Overview
- 9.7.2. Company Revenue
- 9.7.3. Products
- 9.7.4. Recent Developments
9.8. Microsoft Corporation
- 9.8.1. Company Overview
- 9.8.2. Company Revenue
- 9.8.3. Products
- 9.8.4. Recent Developments
9.9. Scale AI Inc.
- 9.9.1. Company Overview
- 9.9.2. Company Revenue
- 9.9.3. Products
- 9.9.4. Recent Developments
9.10. Samasource Inc.
- 9.10.1. Company Overview
- 9.10.2. Company Revenue
- 9.10.3. Products
- 9.10.4. Recent Developments
9.11. Alegion
- 9.11.1. Company Overview
- 9.11.2. Company Revenue
- 9.11.3. Products
- 9.11.4. Recent Developments
9.12. Deep Vision Data.
- 9.12.1. Company Overview
- 9.12.2. Company Revenue
- 9.12.3. Products
- 9.12.4. Recent Developments