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市场调查报告书

商品编码

1678095

人工智慧训练资料市场规模、份额及成长分析（按类型、部署模式、最终用户和地区）－2025 年至 2032 年产业预测

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个工作天内

价格

简介目录

预计 2023 年 AI 训练资料集市场规模将达到 21 亿美元，从 2024 年的 25.3 亿美元成长到 2032 年的 110.8 亿美元，预测期内（2025-2032 年）的复合年增长率为 20.3%。

全球人工智慧训练资料产业正在经历显着成长，这得益于训练机器学习模型所需的高品质资料的需求激增。各行业的公司都意识到精心策划的资料的价值，以提高其人工智慧应用程式的效能和准确性。这一市场扩张是由对多样化和代表性的资料的需求所驱动的，公司利用资料和专有资料集。人工智慧应用的广泛应用正在推动对大量高品质资料的需求，从而推动对资料收集、註释和管理平台的投资。为了满足这一需求，正在部署众包、自动标记和合成资料生成等创新技术，从而创建一个强大的资料供应商和註释者生态系统。我们专注于专业和道德资料，确保人工智慧创新的准确性和公正性。

北美洲
- 美国
- 加拿大
欧洲
- 德国
- 西班牙
- 法国
- 英国
- 义大利
- 其他欧洲国家
亚太地区
- 中国
- 印度
- 日本
- 韩国
- 其他亚太地区
拉丁美洲
- 巴西
- 其他拉丁美洲
中东和非洲
- 海湾合作委员会国家
- 南非
- 其他中东和非洲地区

竞争资讯

前五大公司对比
主要企业市场定位（2024年）
主要市场参与者所采取的策略
近期市场趋势
公司市场占有率分析（2024年）
主要企业简介
- 公司详情
- 产品系列分析
- 公司分部份额分析
- 收益与前一年同期比较对比（2022-2024 年）

主要企业简介

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）

结论和建议

简介目录

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