查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1716331

2032 年 AI 训练资料集市场预测：按类型、资料类型、最终用户和地区进行的全球分析

AI Training Dataset Market Forecasts to 2032 - Global Analysis By Type (Text Data, Image Data, Video Data and Audio Data), Data Type (Labeled Data, Unlabeled Data, Synthetic Data and Crowdsourced Data), End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧训练资料集市场预计在 2025 年达到 32 亿美元，到 2032 年将达到 144 亿美元，预测期内的复合年增长率为 23.9%。

人工智慧训练资料集是用于训练机器学习模型的资料集合，使其能够识别模式并做出预测。它通常由标记范例组成，其中每个资料点都有输入特征（例如，图像、文字、数字）和相应的输出标籤或类别（例如，物件类别或预测值）。资料集的品质、数量和多样性对于模型的泛化能力和对未知资料的良好表现起着至关重要的作用。训练资料集经过精心策划、预处理，并分成用于训练、检验和测试的子集。

对人工智慧和机器学习的需求不断增长

对人工智慧和机器学习日益增长的需求正在推动技术创新并扩大机会，从而对人工智慧训练资料集市场产生重大影响。随着各行各业越来越依赖人工智慧进行决策、自动化和洞察，对高品质、多样化资料集的需求也日益增长。这种需求将推动资料收集、管理和标记的进步，从而提高人工智慧模型的准确性和效能。因此，人工智慧训练资料集市场正在经历强劲成长，吸引投资并推动更智慧、更有效率的人工智慧系统的发展。

资料隐私和安全问题

资料隐私和安全问题可能会增加合规成本、限制资料可用性并减少资料共用实践，从而阻碍人工智慧训练资料集市场的发展。 GDPR 等更严格的法律将限制资料使用并限制对各种资讯的存取。这可能会减缓人工智慧的发展，增加法律后果的可能性，并阻止公司交换敏感数据，抑制人工智慧培训的创新并限制市场扩张。

人工智慧技术的进步

人工智慧技术的进步正在显着增强人工智慧训练资料集市场，使其能够提供更准确、更多样化、更有效率的资料集。机器学习模型需要大量高品质的资料集，这增加了对精心挑选的真实世界资料的需求。透过资料增强、合成资料合成和自动资料标记等创新，训练资料的扩充性和可靠性正在提高。这正在推动产业扩张，加速医疗保健、金融和自主系统等领域人工智慧的发展，并扩大数据提供者的选择。

资料管理的复杂性

资料管理的复杂性增加了成本并降低了营运效率，严重阻碍了 AI 训练资料集市场的发展。处理大量和各种非结构化资料需要大量的处理、储存和清理工作。这种复杂性限制了可访问性，减慢了资料准备速度，并使可扩展性变得复杂。结果，公司面临延迟、费用增加和资源限制，减缓了人工智慧模型的发展并限制了整个人工智慧训练资料集市场的成长。

COVID-19的影响

COVID-19 疫情对 AI 训练资料集市场产生了重大影响，加速了对多样化、高品质资料的需求。随着各行各业走向数位化平台，医疗保健、电子商务和金融等领域对训练人工智慧模式的资料需求激增。然而，资料稀缺、隐私问题和资料集偏见等挑战凸显了后疫情时代对道德资料采购和改进资料集管理策略的必要性。

预计影片资料部分将成为预测期内最大的部分

由于模型准确性和性能的提高，预计影片资料区段将在预测期内占据最大的市场占有率。透过提供丰富的真实世界视觉和时间信息，影片数据使人工智慧系统能够更好地理解背景、运动和动态互动。这将提高电脑视觉、自动驾驶汽车和监控等领域的能力。随着对复杂人工智慧的需求不断增长，视讯资料的整合激发了创新，改善了决策，并推动了各行业的突破，使其成为人工智慧训练资料集中的关键资产。

预计在预测期内，未标记资料区段将以最高的复合年增长率成长。

在预测期内，未标记资料区段预计将呈现最高的成长率，因为它为模型开发提供了丰富且具有成本效益的资源。这些资料集支援无监督和半监督学习，使人工智慧系统无需标记资料即可发现模式和见解，而标记资料的创建可能既耗时又昂贵。未标记资料的日益普及将提高人工智慧训练的可扩展性和效率，刺激创新并提高各行业机器学习模型的效能。

比最大的地区

在预测期内，预计亚太地区将占据最大的市场占有率，这得益于人工智慧技术的快速发展以及医疗保健、金融和製造业等行业对数据驱动解决方案的需求不断增加。该地区多元化的人口提供了丰富的数据来源，提高了人工智慧模型的准确性和有效性。数据收集和处理的激增正在刺激创新、促进经济业务并帮助企业更有效率地运营，使亚太地区成为人工智慧主导的全球进步的关键参与者。

复合年增长率最高的地区：

预计北美地区在预测期内将呈现最高的复合年增长率。随着企业和研究机构采用人工智慧，对多样化、高品质资料集的需求正在激增，这有助于开发更准确、更有效率的人工智慧模型。这种成长创造了机会，增强了数据主导的决策能力，并促进了医疗保健、金融和自动驾驶汽车等领域的发展。北美强大的技术基础设施和对人工智慧研究的投资使该地区成为人工智慧创新的全球领导者。

免费客製化服务

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球人工智慧训练资料集市场（按类型）

  • 文字数据
  • 影像资料
  • 视讯数据
  • 音讯数据

6. 全球人工智慧训练资料集市场（按资料类型）

  • 标记数据
  • 未标记数据
  • 合成数据
  • 众包数据

7. 全球人工智慧训练资料集市场（按最终用户划分）

  • 资讯科技/通讯
  • 医疗保健和生命科学
  • 银行、金融服务和保险（BFSI）
  • 零售与电子商务
  • 汽车与运输
  • 製造业
  • 政府和国防
  • 媒体与娱乐
  • 教育
  • 其他最终用户

8. 全球人工智慧训练资料集市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第九章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十章 公司概况

  • Google LLC
  • Appen Limited
  • Scale AI, Inc.
  • Amazon Web Services, Inc.（AWS）
  • Microsoft Corporation
  • IBM Corporation
  • Lionbridge Technologies, Inc.
  • Samasource Inc.
  • Cogito Tech LLC
  • Deep Vision Data
  • Alegion Inc.
  • iMerit Technology Services
  • Clickworker GmbH
  • Shaip
  • Defined.ai
  • Datagen
  • CVEDIA
  • Labelbox, Inc.
  • SuperAnnotate AI, Inc.
  • CloudFactory Ltd.
Product Code: SMRC29142

According to Stratistics MRC, the Global AI Training Dataset Market is accounted for $3.2 billion in 2025 and is expected to reach $14.4 billion by 2032 growing at a CAGR of 23.9% during the forecast period. An AI training dataset is a collection of data used to train machine learning models, enabling them to recognize patterns and make predictions. It typically consists of labeled examples, where each data point includes both input features (e.g., images, text, or numerical values) and corresponding output labels or categories (e.g., object classes or predicted values). The quality, quantity, and diversity of the dataset play a crucial role in the model's ability to generalize and perform well on unseen data. Training datasets are carefully curated, preprocessed, and split into subsets for training, validation, and testing.

Market Dynamics:

Driver:

Growing Demand for AI and Machine Learning

The growing demand for AI and machine learning is significantly impacting the AI training dataset market by driving innovation and expanding opportunities. As industries increasingly rely on AI for decision-making, automation, and insights, the need for high-quality, diverse datasets intensifies. This demand fuels advancements in data collection, curation, and labeling, resulting in improved AI model accuracy and performance. Consequently, the AI training dataset market experiences robust growth, attracting investments and enhancing the development of smarter, more efficient AI systems.

Restraint:

Data Privacy and Security Concerns

By raising compliance costs, restricting data availability, and decreasing data-sharing practices, data privacy and security issues might impede the market for AI training datasets. Data usage is restricted by stricter laws, such as GDPR, which limits access to a variety of information. This might hinder innovation in AI training by slowing down AI development, raising the possibility of legal repercussions, and discouraging firms from exchanging important data, thus it limits the market expansion.

Opportunity:

Advancements in AI Technologies

AI technological advancements are considerably enhancing the AI training dataset market by allowing for more accurate, diverse, and efficient datasets. The need for well selected, real-world data is increasing as machine learning models need big, high-quality datasets. The scalability and dependability of training data are being improved by innovations such as data augmentation, synthetic data synthesis, and automated data labeling. This propels the industry's expansion and speeds up the development of AI in fields like healthcare, finance, and autonomous systems, opening up a plethora of options for data suppliers.

Threat:

Complexity of Data Management

The complexity of data management significantly hinders the AI training dataset market by increasing costs and operational inefficiencies. Handling vast, diverse, and unstructured data requires extensive processing, storage, and cleaning efforts. This complexity limits accessibility, slows data preparation, and complicates scalability. Consequently, businesses face delays, higher expenses, and resource constraints, slowing AI model development and limiting the overall growth of the AI training dataset market.

Covid-19 Impact

The COVID-19 pandemic significantly impacted the AI training dataset market, accelerating the demand for diverse and high-quality data. With industries shifting to digital platforms, the need for data to train AI models in sectors like healthcare, e-commerce, and finance surged. However, challenges such as data scarcity, privacy concerns, and biased datasets emerged, prompting a focus on ethical data sourcing and improved dataset management strategies in the post-pandemic era.

The video data segment is expected to be the largest during the forecast period

The video data segment is expected to account for the largest market share during the forecast period, as it enhances model accuracy and performance. By providing rich, real-world visual and temporal information, video data enables AI systems to better understand context, motion, and dynamic interactions. This boosts capabilities in areas like computer vision, autonomous vehicles, and surveillance. As demand for sophisticated AI grows, the integration of video data is driving innovation, improving decision-making, and fostering breakthroughs across industries, making it a key asset in AI training datasets.

The unlabeled data segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the unlabeled data segment is predicted to witness the highest growth rate, as it offers a vast, cost-effective resource for model development. These datasets enable unsupervised and semi-supervised learning, allowing AI systems to detect patterns and insights without the need for labeled data, which can be time-consuming and expensive to create. The growing availability of unlabeled data enhances the scalability and efficiency of AI training, driving innovation and improving the performance of machine learning models across various industries.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid advancements in AI technologies and an increasing demand for data-driven solutions across industries like healthcare, finance, and manufacturing. The region's diverse population provides a rich source of data, enhancing the accuracy and effectiveness of AI models. This surge in data collection and processing fosters innovation, boosts economic development, and helps companies enhance operational efficiency, positioning Asia Pacific as a key player in AI-driven global advancements.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, as businesses and research institutions embrace AI, the demand for diverse, high-quality datasets has surged, fostering the development of more accurate and efficient AI models. This growth is creating job opportunities, enhancing data-driven decision-making, and boosting sectors like healthcare, finance, and autonomous vehicles. North America's strong tech infrastructure and investment in AI research are propelling the region as a global leader in AI innovation.

Key players in the market

Some of the key players profiled in the AI Training Dataset Market include Google LLC, Appen Limited, Scale AI, Inc., Amazon Web Services, Inc. (AWS), Microsoft Corporation, IBM Corporation, Lionbridge Technologies, Inc., Samasource Inc., Cogito Tech LLC, Deep Vision Data, Alegion Inc., iMerit Technology Services, Clickworker GmbH, Shaip, Defined.ai, Datagen, CVEDIA, Labelbox, Inc., SuperAnnotate AI, Inc. and CloudFactory Ltd.

Key Developments:

In March 2025, IBM announced the availability of Intel(R) Gaudi(R) 3 AI accelerators on IBM Cloud. This offering delivers Intel Gaudi 3 in a public cloud environment for production workloads. Through this collaboration, IBM Cloud aims to help clients more cost-effectively scale and deploy enterprise AI.

In March 2025, Vodafone and IBM announced a collaboration aimed at protecting customers and their data from future risks related to quantum computers when browsing the Internet on their smartphones.

In August 2024, Intel and IBM have announced a collaboration to deploy Intel(R) Gaudi(R) 3 AI accelerators as a service on IBM Cloud, aimed at improving cost-effectiveness and performance for enterprise AI workloads.

Types Covered:

  • Text Data
  • Image Data
  • Video Data
  • Audio Data

Data Types Covered:

  • Labeled Data
  • Unlabeled Data
  • Synthetic Data
  • Crowdsourced Data

End Users Covered:

  • IT & Telecommunications
  • Healthcare & Life Sciences
  • Banking, Financial Services & Insurance (BFSI)
  • Retail & E-commerce
  • Automotive & Transportation
  • Manufacturing
  • Government & Defense
  • Media & Entertainment
  • Education
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 End User Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Training Dataset Market, By Type

  • 5.1 Introduction
  • 5.2 Text Data
  • 5.3 Image Data
  • 5.4 Video Data
  • 5.5 Audio Data

6 Global AI Training Dataset Market, By Data Type

  • 6.1 Introduction
  • 6.2 Labeled Data
  • 6.3 Unlabeled Data
  • 6.4 Synthetic Data
  • 6.5 Crowdsourced Data

7 Global AI Training Dataset Market, By End User

  • 7.1 Introduction
  • 7.2 IT & Telecommunications
  • 7.3 Healthcare & Life Sciences
  • 7.4 Banking, Financial Services & Insurance (BFSI)
  • 7.5 Retail & E-commerce
  • 7.6 Automotive & Transportation
  • 7.7 Manufacturing
  • 7.8 Government & Defense
  • 7.9 Media & Entertainment
  • 7.10 Education
  • 7.11 Other End Users

8 Global AI Training Dataset Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Google LLC
  • 10.2 Appen Limited
  • 10.3 Scale AI, Inc.
  • 10.4 Amazon Web Services, Inc. (AWS)
  • 10.5 Microsoft Corporation
  • 10.6 IBM Corporation
  • 10.7 Lionbridge Technologies, Inc.
  • 10.8 Samasource Inc.
  • 10.9 Cogito Tech LLC
  • 10.10 Deep Vision Data
  • 10.11 Alegion Inc.
  • 10.12 iMerit Technology Services
  • 10.13 Clickworker GmbH
  • 10.14 Shaip
  • 10.15 Defined.ai
  • 10.16 Datagen
  • 10.17 CVEDIA
  • 10.18 Labelbox, Inc.
  • 10.19 SuperAnnotate AI, Inc.
  • 10.20 CloudFactory Ltd.

List of Tables

  • Table 1 Global AI Training Dataset Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 3 Global AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 4 Global AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 5 Global AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 6 Global AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 7 Global AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 8 Global AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 9 Global AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 10 Global AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 11 Global AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 12 Global AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 13 Global AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 14 Global AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 15 Global AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 16 Global AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 17 Global AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 18 Global AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 19 Global AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 20 Global AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 21 Global AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 22 Global AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 23 North America AI Training Dataset Market Outlook, By Country (2024-2032) ($MN)
  • Table 24 North America AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 25 North America AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 26 North America AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 27 North America AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 28 North America AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 29 North America AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 30 North America AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 31 North America AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 32 North America AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 33 North America AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 34 North America AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 35 North America AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 36 North America AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 37 North America AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 38 North America AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 39 North America AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 40 North America AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 41 North America AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 42 North America AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 43 North America AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 44 North America AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 45 Europe AI Training Dataset Market Outlook, By Country (2024-2032) ($MN)
  • Table 46 Europe AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 47 Europe AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 48 Europe AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 49 Europe AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 50 Europe AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 51 Europe AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 52 Europe AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 53 Europe AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 54 Europe AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 55 Europe AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 56 Europe AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 57 Europe AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 58 Europe AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 59 Europe AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 60 Europe AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 61 Europe AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 62 Europe AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 63 Europe AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 64 Europe AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 65 Europe AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 66 Europe AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 67 Asia Pacific AI Training Dataset Market Outlook, By Country (2024-2032) ($MN)
  • Table 68 Asia Pacific AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 69 Asia Pacific AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 70 Asia Pacific AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 71 Asia Pacific AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 72 Asia Pacific AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 73 Asia Pacific AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 74 Asia Pacific AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 75 Asia Pacific AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 76 Asia Pacific AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 77 Asia Pacific AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 78 Asia Pacific AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 79 Asia Pacific AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 80 Asia Pacific AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 81 Asia Pacific AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 82 Asia Pacific AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 83 Asia Pacific AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 84 Asia Pacific AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 85 Asia Pacific AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 86 Asia Pacific AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 87 Asia Pacific AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 88 Asia Pacific AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 89 South America AI Training Dataset Market Outlook, By Country (2024-2032) ($MN)
  • Table 90 South America AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 91 South America AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 92 South America AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 93 South America AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 94 South America AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 95 South America AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 96 South America AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 97 South America AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 98 South America AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 99 South America AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 100 South America AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 101 South America AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 102 South America AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 103 South America AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 104 South America AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 105 South America AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 106 South America AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 107 South America AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 108 South America AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 109 South America AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 110 South America AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)
  • Table 111 Middle East & Africa AI Training Dataset Market Outlook, By Country (2024-2032) ($MN)
  • Table 112 Middle East & Africa AI Training Dataset Market Outlook, By Type (2024-2032) ($MN)
  • Table 113 Middle East & Africa AI Training Dataset Market Outlook, By Text Data (2024-2032) ($MN)
  • Table 114 Middle East & Africa AI Training Dataset Market Outlook, By Image Data (2024-2032) ($MN)
  • Table 115 Middle East & Africa AI Training Dataset Market Outlook, By Video Data (2024-2032) ($MN)
  • Table 116 Middle East & Africa AI Training Dataset Market Outlook, By Audio Data (2024-2032) ($MN)
  • Table 117 Middle East & Africa AI Training Dataset Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 118 Middle East & Africa AI Training Dataset Market Outlook, By Labeled Data (2024-2032) ($MN)
  • Table 119 Middle East & Africa AI Training Dataset Market Outlook, By Unlabeled Data (2024-2032) ($MN)
  • Table 120 Middle East & Africa AI Training Dataset Market Outlook, By Synthetic Data (2024-2032) ($MN)
  • Table 121 Middle East & Africa AI Training Dataset Market Outlook, By Crowdsourced Data (2024-2032) ($MN)
  • Table 122 Middle East & Africa AI Training Dataset Market Outlook, By End User (2024-2032) ($MN)
  • Table 123 Middle East & Africa AI Training Dataset Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 124 Middle East & Africa AI Training Dataset Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 125 Middle East & Africa AI Training Dataset Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 126 Middle East & Africa AI Training Dataset Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 127 Middle East & Africa AI Training Dataset Market Outlook, By Automotive & Transportation (2024-2032) ($MN)
  • Table 128 Middle East & Africa AI Training Dataset Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 129 Middle East & Africa AI Training Dataset Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 130 Middle East & Africa AI Training Dataset Market Outlook, By Media & Entertainment (2024-2032) ($MN)
  • Table 131 Middle East & Africa AI Training Dataset Market Outlook, By Education (2024-2032) ($MN)
  • Table 132 Middle East & Africa AI Training Dataset Market Outlook, By Other End Users (2024-2032) ($MN)