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市场调查报告书
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医疗保健市场中的人工智慧训练资料规模、份额、趋势分析报告：按模型、资料类型、地区和细分市场进行预测，2023-2030 年

AI Training Dataset In Healthcare Market Size, Share & Trends Analysis Report By Model (Text, Image/Video), By Dataset Type (Electronic Health Records, Medical Imaging), By Region, And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10个工作天内

价格

人工智慧训练资料市场成长与医疗保健趋势：

Grand View Research, Inc.最新报告显示，到2030年，全球医疗保健领域人工智慧训练资料市场规模将达到14.646亿美元，2023年至2030年年复合成长率为23.1%。

另一个值得注意的趋势是使用临床记录和电子健康记录进行人工智慧（AI）培训。随着医疗保健组织将病患记录和临床记录数位化，这些文字资料来源为人工智慧模型提供了宝贵的见解。研究人员和医疗保健公司正在建立大型资料来训练自然语言处理 (NLP) 演算法。这些人工智慧模型可以从医疗记录中提取有价值的资讯，并帮助临床决策支援、疾病追踪和预测分析。

製药业越来越多地利用人工智慧训练资料来加速药物研发。这一趋势涉及收集有关化合物、分子结构和生物相互作用的综合资料。在这些资料上训练的人工智慧模型可以识别潜在的候选药物、预测其功效并最佳化药物开发过程。这一趋势正在彻底改变药物研发流程，使其更有效率且更具成本效益。

医疗保健领域人工智慧训练资料的显着趋势之一是医学影像资料的持续扩展。随着MRI、 电脑断层扫描和超音波等医学影像技术的进步，医疗机构正在产生​​大量的影像资料。这一趋势涉及为早期癌症检测、器官分割和病理分析任务创建广泛的资料。增加多样化和标记的医学影像的可用性将有助于开发更准确的诊断人工智慧模型。

在北美，人工智慧训练资料在医疗保健领域的使用趋势主要集中在医疗机构、研究机构和科技公司之间的协作和资料共用。这一趋势的推动因素是需要编译全面且多样化的资料，同时遵守严格的资料隐私法规，例如美国的 HIPAA 和加拿大的 PIPEDA。为了克服存取和利用敏感患者资料的挑战，相关人员正在合作实施先进的资料匿名化技术。这种协作方法将加速北美医疗保健领域医学研究、诊断和治疗的人工智慧模型的开发，同时确保患者隐私和资料安全。

医疗保健市场报告中人工智慧培训资料集的亮点：

  • 根据该模型，影像/影片细分市场将在 2022 年占据主导地位。医疗人工智慧应用中对视觉资料的依赖日益增加，人们越来越重视开发影像和影片资料，以增强诊断和监测能力。
  • 从资料类型来看，穿戴式装置细分市场呈现出突出的趋势，重点是对可穿戴感测器的资料进行管理，以实现即时健康监测和个体化医疗趋势。我是。
  • 在亚太地区，跨国合作越来越多地创建全球相关且文化多元化的资料，进一步推动人工智慧主导的医疗保健解决方案。

目录

第1章调查方法和范围

第2章执行摘要

第3章：医疗保健市场中的人工智慧训练资料变数、趋势和范围

  • 市场体系展望
  • 市场动态
    • 市场驱动因素分析
    • 市场抑制因素分析
  • 医疗保健领域的人工智慧训练资料市场分析工具
    • 产业分析-波特五力分析
    • PESTEL分析
  • 用例分析

第4章医疗保健领域的人工智慧训练资料市场：模型、估计和趋势分析

  • 细分仪表板
  • 医疗保健领域的人工智慧训练资料市场：模型变异分析，百万美元，2022 年和 2030 年
  • 句子
  • 影像/影片
  • 其他（语音、结构化资料等）

第5章医疗保健领域的人工智慧训练资料市场：资料类型、估计和趋势分析

  • 细分仪表板
  • 医疗保健领域的人工智慧训练资料市场：资料类型的变化分析，百万美元，2022 年和 2030 年
  • 电子病历
  • 医学影像处理
  • 穿戴式装置
  • 远端医疗
  • 其他的

第6章医疗保健领域的人工智慧训练资料市场：区域估计和趋势分析

  • 2022 年和 2030 年医疗保健领域人工智慧训练资料市场占有率（按地区），百万美元
  • 北美洲
    • 2018-2030 年北美医疗保健领域人工智慧训练资料市场估计与预测
    • 美国
    • 加拿大
  • 欧洲
    • 2018-2030 年欧洲医疗保健人工智慧培训资料市场估计与预测
    • 英国
    • 德国
    • 法国
  • 亚太地区
    • 2018-2030 年亚太地区医疗保健 AI 培训资料市场估计与预测
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
  • 拉丁美洲
    • 2018-2030 年拉丁美洲医疗保健领域人工智慧训练资料市场估计与预测
    • 巴西
    • 墨西哥
  • 中东和非洲
    • 2018-2030 年中东和非洲医疗保健 AI 培训资料市场估计和预测
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国

第7章竞争形势

  • 公司分类
  • 公司市场定位
  • 参与企业概况
  • 企业热力图分析
  • 策略规划
  • 公司简介/名单
    • Alegion
    • Amazon Web Services, Inc
    • Appen Limited
    • Cogito Tech LLC
    • Deep Vision Data
    • Google, LLC（Kaggle）
    • Lionbridge Technologies, Inc.
    • Microsoft Corporation
    • Samasource Inc.
    • Scale AI, Inc.
Product Code: GVR-4-68040-136-4

AI Training Dataset In Healthcare Market Growth & Trends:

The global AI training dataset in healthcare market size is projected to reach USD 1,464.6 million by 2030, registering a CAGR of 23.1% from 2023 to 2030, according to a new report by Grand View Research, Inc.. Utilizing clinical notes and electronic health records for artificial intelligence (AI) training is another noteworthy trend. As healthcare institutions digitize patient records and clinical notes, these textual data sources provide valuable insights for AI models. Researchers and healthcare companies are building large-scale datasets to train natural language processing (NLP) algorithms. These AI models can extract valuable information from medical records, aiding clinical decision support, disease tracking, and predictive analytics.

The pharmaceutical industry is increasingly harnessing AI training datasets to accelerate drug discovery. This trend involves compiling comprehensive datasets of chemical compounds, molecular structures, and biological interactions. AI models trained on these datasets can identify potential drug candidates, predict their efficacy, and optimize drug development processes. This trend is revolutionizing the drug discovery pipeline, making it more efficient and cost-effective.

One of the prominent trends in healthcare AI training datasets is the continuous expansion of medical imaging datasets. With advancements in medical imaging technologies such as MRI, CT scans, and ultrasound, healthcare organizations generate massive volumes of image data. This trend involves creating extensive datasets for early cancer detection, organ segmentation, and pathology analysis tasks. The growing availability of diverse and labeled medical images drives thedevelopment of more accurate diagnostic AI models.

In North America, a prominent trend in using AI training datasets in healthcare is a strong focus on collaboration and data sharing among healthcare institutions, research organizations, and technology companies. This trend is driven by the need to compile comprehensive and diverse datasets while complying with stringent data privacy regulations such as HIPAA in the U.S. and PIPEDA in Canada. To overcome the challenges of accessing and using sensitive patient data, stakeholders are forming partnerships and implementing advanced data anonymization techniques. This collaborative approach accelerates the development of AI models for medical research, diagnosis, and treatment in the North American healthcare sector while ensuring patient privacy and data security.

AI Training Dataset In Healthcare Market Report Highlights:

  • Based on model, the image/video segment dominated the market in 2022. Due to the increasing reliance on visual data in healthcare AI applications, there is a growing emphasis on the development of image and video datasets to enhance diagnostic and monitoring capabilities
  • Based on dataset type, the wearable devices segment is experiencing a notable trend, with an increasing focus on curating datasets from wearable sensors to enable real-time health monitoring and personalized medical insights
  • In the Asia Pacific region, the market is witnessing a growing trend of cross-border collaborations to create globally relevant and culturally diverse datasets, further advancing AI-driven healthcare solutions

Table of Contents

Chapter 1. Methodology And Scope

  • 1.1. Market Segmentation and Scope
  • 1.2. Research Methodology
    • 1.2.1. Information Procurement
  • 1.3. Information or Data Analysis
  • 1.4. Methodology
  • 1.5. Research Scope and Assumptions
  • 1.6. Market Formulation & Validation
  • 1.7. Country Based Segment Share Calculation
  • 1.8. List of Data Sources

Chapter 2. Executive Summary

  • 2.1. Market Outlook
  • 2.2. Segment Outlook
  • 2.3. Competitive Insights

Chapter 3. AI Training Dataset in Healthcare Market Variables, Trends, & Scope

  • 3.1. Market Lineage Outlook
  • 3.2. Market Dynamics
    • 3.2.1. Market Driver Analysis
      • 3.2.1.1. Electronic health records and patient data play a pivotal role in advancing AI applications in healthcare.
      • 3.2.1.2. Advances in medical imaging and personalized medicine are propelling the growth of AI training dataset usage in healthcare.
    • 3.2.2. Market Restraint Analysis
      • 3.2.2.1. Lack of Diverse and Ethical AI Training Datasets in Healthcare Market.
  • 3.3. AI Training Dataset in Healthcare Market Analysis Tools
    • 3.3.1. Industry Analysis - Porter's
      • 3.3.1.1. Bargaining power of the suppliers
      • 3.3.1.2. Bargaining power of the buyers
      • 3.3.1.3. Threats of substitution
      • 3.3.1.4. Threats from new entrants
      • 3.3.1.5. Competitive rivalry
    • 3.3.2. PESTEL Analysis
      • 3.3.2.1. Political landscape
      • 3.3.2.2. Economic and Social landscape
      • 3.3.2.3. Technological landscape
  • 3.4. Use Cases Analysis

Chapter 4. AI Training Dataset in Healthcare Market: Model Estimates & Trend Analysis

  • 4.1. Segment Dashboard
  • 4.2. AI Training Dataset in Healthcare Market: Model Movement Analysis, USD Million, 2022 & 2030
  • 4.3. Text
    • 4.3.1. Text Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.4. Image/Video
    • 4.4.1. Image/Video Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.5. Others (Audio, Structured Data, etc.)
    • 4.5.1. Others (Audio, Structured Data, etc.) Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. AI Training Dataset in Healthcare Market: Dataset Type Estimates & Trend Analysis

  • 5.1. Segment Dashboard
  • 5.2. AI Training Dataset in Healthcare Market: Dataset Type Movement Analysis, USD Million, 2022 & 2030
  • 5.3. Electronic Health Records
    • 5.3.1. Electronic Health Records Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.4. Medical Imaging
    • 5.4.1. Medical Imaging Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.5. Wearable Devices
    • 5.5.1. Wearable Devices Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.6. Telemedicine
    • 5.6.1. Telemedicine Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.7. Others
    • 5.7.1. Others Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. AI Training Dataset in Healthcare Market: Regional Estimates & Trend Analysis

  • 6.1. AI Training Dataset in Healthcare Market Share, By Region, 2022 & 2030, USD Million
  • 6.2. North America
    • 6.2.1. North America AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.2.2. U.S.
      • 6.2.2.1. U.S. AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.2.3. Canada
      • 6.2.3.1. Canada AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
  • 6.3. Europe
    • 6.3.1. Europe AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.3.2. UK
      • 6.3.2.1. UK AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.3.3. Germany
      • 6.3.3.1. Germany AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.3.4. France
      • 6.3.4.1. France AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
  • 6.4. Asia Pacific
    • 6.4.1. Asia Pacific AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.4.2. China
      • 6.4.2.1. China AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.4.3. Japan
      • 6.4.3.1. Japan AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.4.4. India
      • 6.4.4.1. India AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.4.5. South Korea
      • 6.4.5.1. South Korea AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.4.6. Australia
      • 6.4.6.1. Australia AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
  • 6.5. Latin America
    • 6.5.1. Latin America AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.5.2. Brazil
      • 6.5.2.1. Brazil AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.5.3. Mexico
      • 6.5.3.1. Mexico AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
  • 6.6. Middle East and Africa
    • 6.6.1. Middle East and Africa AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.6.2. South Africa
      • 6.6.2.1. South Africa AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.6.3. Saudi Arabia
      • 6.6.3.1. Saudi Arabia AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)
    • 6.6.4. UAE
      • 6.6.4.1. UAE AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD MILLION)

Chapter 7. Competitive Landscape

  • 7.1. Company Categorization
  • 7.2. Company Market Positioning
  • 7.3. Participant's Overview
  • 7.4. Financial Performance
  • 7.5. Product Benchmarking
  • 7.6. Company Heat Map Analysis
  • 7.7. Strategy Mapping
  • 7.8. Company Profiles/Listing
    • 7.8.1. Alegion
    • 7.8.2. Amazon Web Services, Inc
    • 7.8.3. Appen Limited
    • 7.8.4. Cogito Tech LLC
    • 7.8.5. Deep Vision Data
    • 7.8.6. Google, LLC (Kaggle)
    • 7.8.7. Lionbridge Technologies, Inc.
    • 7.8.8. Microsoft Corporation
    • 7.8.9. Samasource Inc.
    • 7.8.10. Scale AI, Inc.

List of Tables

  • Table 1 Global AI Training Dataset in Healthcare Market by Model, 2018 - 2030 (USD Million)
  • Table 2 Global AI Training Dataset in Healthcare Market by Dataset Type, 2018 - 2030 (USD Million)
  • Table 3 Global AI Training Dataset in Healthcare Market by Region, 2018 - 2030 (USD Million)
  • Table 4 North America AI Training Dataset in Healthcare Market by Country, 2018 - 2030 (USD Million)
  • Table 5 Europe AI Training Dataset in Healthcare Market by country, 2018 - 2030 (USD Million)
  • Table 6 Asia Pacific AI Training Dataset in Healthcare Market by country, 2018 - 2030 (USD Million)
  • Table 7 Latin America AI Training Dataset in Healthcare Market by country, 2018 - 2030 (USD Million)
  • Table 8 MEA AI Training Dataset in Healthcare Market by country, 2018 - 2030 (USD Million)
  • Table 9 Key companies launching new products/services.
  • Table 10 Key companies engaged in mergers & acquisitions.
  • Table 11 Key companies engaged in Research & development.
  • Table 12 Key Companies engaged in expansion.

List of Figures

  • Fig. 1 AI Training Dataset in Healthcare Market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 Market formulation & validation
  • Fig. 8 AI Training Dataset in Healthcare Market Snapshot
  • Fig. 9 AI Training Dataset in Healthcare Market segment snapshot
  • Fig. 10 AI Training Dataset in Healthcare Market competitive landscape snapshot
  • Fig. 11 Market research process
  • Fig. 12 Market driver relevance analysis (Current & future impact)
  • Fig. 13 Market restraint relevance analysis (Current & future impact)
  • Fig. 14 Market Use Case Analysis
  • Fig. 15 AI Training Dataset in Healthcare Market, Model outlook key takeaways (USD million)
  • Fig. 16 AI Training Dataset in Healthcare Market: Model movement analysis (USD million), 2022 & 2030
  • Fig. 17 Text market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 18 Image/Video market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 19 Others (Audio, Structured Data, etc.) market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 20 AI Training Dataset in Healthcare Market: Dataset Type outlook key takeaways (USD million)
  • Fig. 21 AI Training Dataset in Healthcare Market: Dataset Type movement analysis (USD million), 2022 & 2030
  • Fig. 22 Electronic Health Records market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 23 Medical Imaging market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 24 Wearable Devices market revenue Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 25 Telemedicine Market Revenue Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 26 Others market revenue estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 27 Regional marketplace: Key takeaways
  • Fig. 28 AI Training Dataset in Healthcare Market: Regional Outlook, 2022 & 2030, USD Million
  • Fig. 29 North America AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 30 U.S. AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 31 Canada AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 32 Europe AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 33 UK AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 34 Germany AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 35 France AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 36 Asia Pacific AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 37 Japan AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 38 China AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 39 India AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 40 South Korea AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 41 Australia AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 42 Latin America AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 43 Brazil AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 44 Mexico AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 45 MEA AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 46 South Africa AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 47 Saudi Arabia AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 48 UAE AI Training Dataset in Healthcare Market Estimates and Forecasts, 2018 - 2030 (USD million)
  • Fig. 49 Strategy framework
  • Fig. 50 Company Categorization