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市場調查報告書

商品編碼

1678095

人工智慧訓練資料市場規模、佔有率及成長分析（按類型、部署模式、最終用戶和地區）－2025 年至 2032 年產業預測

AI Training Dataset Market Size, Share, and Growth Analysis, By Type (Text, Audio), By Deployment Mode (On-Premises, Cloud), By End User, By Region - Industry Forecast 2025-2032

出版日期: 2025年03月07日 | 出版商:

SkyQuest | 英文 198 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計 2023 年 AI 訓練資料集市場規模將達到 21 億美元，從 2024 年的 25.3 億美元成長到 2032 年的 110.8 億美元，預測期內（2025-2032 年）的複合年成長率為 20.3%。

全球人工智慧訓練資料產業正在經歷顯著成長，這得益於訓練機器學習模型所需的高品質資料的需求激增。各行業的公司都意識到精心策劃的資料的價值，以提高其人工智慧應用程式的效能和準確性。這一市場擴張是由對多樣化和代表性的資料的需求所驅動的，公司利用資料和專有資料集。人工智慧應用的廣泛應用正在推動對大量高品質資料的需求，從而推動對資料收集、註釋和管理平台的投資。為了滿足這一需求，正在部署群眾外包、自動標記和合成資料生成等創新技術，從而創建一個強大的資料供應商和註釋者生態系統。我們專注於專業和道德資料，確保人工智慧創新的準確性和公正性。

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業市場定位（2024年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2024年）
主要企業簡介
- 公司詳情
- 產品系列分析
- 公司分部佔有率分析
- 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

Scale AI（USA）
CloudFactory（UK）
iMerit Technology（USA）
Samasource（USA）
Alegion（USA）
DefinedCrowd（USA）
Amazon Mechanical Turk（USA）
Google AI（USA）
Microsoft Azure（USA）
IBM Watson（USA）
Baidu AI（China）
Tencent AI（China）
Alibaba Cloud（China）
Hivemind（USA）
LXT（USA）

結論和建議

簡介目錄

Product Code: SQMIG45A2502

AI Training Dataset Market size was valued at USD 2.1 billion in 2023 and is poised to grow from USD 2.53 billion in 2024 to USD 11.08 billion by 2032, growing at a CAGR of 20.3% during the forecast period (2025-2032).

The global AI training dataset industry is experiencing remarkable growth, propelled by the surging demand for high-quality data essential for training machine learning models. Companies across diverse sectors are increasingly recognizing the value of well-curated datasets to enhance the performance and accuracy of AI applications. This market expansion is fueled by the need for diverse and representative data, with organizations leveraging both public and proprietary datasets. As AI applications proliferate, the demand for vast volumes of quality data intensifies, driving investments in data collection, annotation, and management platforms. Innovative technologies such as crowdsourcing, automated labeling, and synthetic data generation are being deployed to meet this demand, solidifying a robust ecosystem of data vendors and annotators. This focus on specialized and ethical datasets ensures that AI innovations remain accurate and unbiased.

Top-down and bottom-up approaches were used to estimate and validate the size of the Ai Training Dataset market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Ai Training Dataset Market Segments Analysis

Global AI Training Dataset Market is segmented by Type, Deployment Mode, End User and region. Based on Type, the market is segmented into Text, Audio, Image, Video and Others. Based on Deployment Mode, the market is segmented into On-Premises and Cloud. Based on End User, the market is segmented into IT and Telecommunications, Retail and Consumer Goods, Healthcare, Automotive, BFSI and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Ai Training Dataset Market

The AI Training Dataset market is poised for significant growth, primarily driven by the rise of big data, which requires extensive data collection, storage, and analysis. As organizations recognize the importance of harnessing large volumes of data, there is an increasing emphasis on monitoring and refining the computational models linked to big data. This heightened focus propels the rapid adoption of artificial intelligence solutions by end-users who seek to improve their analytical capabilities. Consequently, the demand for high-quality training datasets is surging as businesses aim to enhance their AI models and leverage data-driven insights for improved decision-making.

Restraints in the Ai Training Dataset Market

The AI Training Dataset market faces several limitations, particularly in the Asia-Pacific region, where stringent regulations on personal data protection pose significant challenges for data collection. For example, Japan's Act on the Protection of Personal Information prohibits the transfer of sensitive personal data to unauthorized entities or locations, thereby constraining the availability of training datasets. Additionally, the improper classification of data further hinders market growth, creating obstacles for companies seeking to compile comprehensive and accurate datasets necessary for effective AI training. These regulatory and classification challenges may impede progress and innovation within the industry.

Market Trends of the Ai Training Dataset Market

The AI training dataset market is experiencing a dynamic surge driven by the proliferation of digital content across various industry verticals. The rising usage of smartphones and digital cameras has resulted in an explosion of photographs and videos, which are vital for developing advanced AI models. Companies are leveraging abundant web content, employing data annotation techniques to enhance service offerings, while unstructured data from Electronic Health Record (EHR) systems is emerging as a cornerstone for clinical research. This trend highlights the growing reliance on curated training datasets, positioning them as essential assets for organizations seeking innovation and improved operational efficiencies in an increasingly data-reliant landscape.

Introduction

Objectives of the Study
Scope of the Report
Definitions

Research Methodology

Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations

Executive Summary

Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis

Market Dynamics & Outlook

Market Overview
Market Size
Market Dynamics
- Drivers & Opportunities
- Restraints & Challenges
Porters Analysis
- Competitive rivalry
- Threat of substitute
- Bargaining power of buyers
- Threat of new entrants
- Bargaining power of suppliers

Key Market Insights

Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2024
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Regulatory Landscape
Case Studies
Technological Advancement

Global AI Training Dataset Market Size by Type & CAGR (2025-2032)

Market Overview
Text
Audio
Image
Video
Others

Global AI Training Dataset Market Size by Deployment Mode & CAGR (2025-2032)

Market Overview
On-Premises
Cloud

Global AI Training Dataset Market Size by End User & CAGR (2025-2032)

Market Overview
IT and Telecommunications
Retail and Consumer Goods
Healthcare
Automotive
BFSI
Others

Global AI Training Dataset Market Size & CAGR (2025-2032)

North America (Type, Deployment Mode, End User)
- US
- Canada
Europe (Type, Deployment Mode, End User)
- Germany
- Spain
- France
- UK
- Italy
- Rest of Europe
Asia Pacific (Type, Deployment Mode, End User)
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Latin America (Type, Deployment Mode, End User)
- Brazil
- Rest of Latin America
Middle East & Africa (Type, Deployment Mode, End User)
- GCC Countries
- South Africa
- Rest of Middle East & Africa

Competitive Intelligence

Top 5 Player Comparison
Market Positioning of Key Players, 2024
Strategies Adopted by Key Market Players
Recent Developments in the Market
Company Market Share Analysis, 2024
Company Profiles of All Key Players
- Company Details
- Product Portfolio Analysis
- Company's Segmental Share Analysis
- Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

Scale AI (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
CloudFactory (UK)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
iMerit Technology (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Samasource (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alegion (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
DefinedCrowd (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Amazon Mechanical Turk (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Google AI (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Microsoft Azure (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
IBM Watson (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Baidu AI (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Tencent AI (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Alibaba Cloud (China)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
Hivemind (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments
LXT (USA)
- Company Overview
- Business Segment Overview
- Financial Updates
- Key Developments