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市場調查報告書
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1376100

醫療保健市場中的人工智慧訓練資料規模、佔有率、趨勢分析報告：按模型、資料類型、地區和細分市場進行預測，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個工作天內

價格

人工智慧訓練資料市場成長與醫療保健趨勢：

Grand View Research, Inc.最新報告顯示，到2030年，全球醫療保健領域人工智慧訓練資料市場規模將達到14.646億美元，2023年至2030年年複合成長率為23.1%。

另一個值得注意的趨勢是使用臨床記錄和電子健康記錄進行人工智慧（AI）培訓。隨著醫療保健組織將病患記錄和臨床記錄數位化，這些文字資料來源為人工智慧模型提供了寶貴的見解。研究人員和醫療保健公司正在建立大型資料來訓練自然語言處理 (NLP) 演算法。這些人工智慧模型可以從醫療記錄中提取有價值的資訊，並幫助臨床決策支援、疾病追蹤和預測分析。

製藥業擴大利用人工智慧訓練資料來加速藥物研發。這一趨勢涉及收集有關化合物、分子結構和生物相互作用的綜合資料。在這些資料上訓練的人工智慧模型可以識別潛在的候選藥物、預測其功效並最佳化藥物開發過程。這一趨勢正在徹底改變藥物研發流程，使其更有效率且更具成本效益。

醫療保健領域人工智慧訓練資料的顯著趨勢之一是醫學影像資料的持續擴展。隨著MRI、 電腦斷層掃描和超音波等醫學影像技術的進步，醫療機構正在產生​​大量的影像資料。這一趨勢涉及為早期癌症檢測、器官分割和病理分析任務創建廣泛的資料。增加多樣化和標記的醫學影像的可用性將有助於開發更準確的診斷人工智慧模型。

在北美，人工智慧訓練資料在醫療保健領域的使用趨勢主要集中在醫療機構、研究機構和科技公司之間的協作和資料共用。這一趨勢的推動因素是需要編譯全面且多樣化的資料，同時遵守嚴格的資料隱私法規，例如美國的 HIPAA 和加拿大的 PIPEDA。為了克服存取和利用敏感患者資料的挑戰，相關人員正在合作實施先進的資料匿名化技術。這種協作方法將加速北美醫療保健領域醫學研究、診斷和治療的人工智慧模型的開發，同時確保患者隱私和資料安全。

醫療保健市場報告中人工智慧培訓資料集的亮點：

  • 根據該模型，影像/影片細分市場將在 2022 年佔據主導地位。醫療人工智慧應用中對視覺資料的依賴日益增加，人們越來越重視開發影像和影片資料，以增強診斷和監測能力。
  • 從資料類型來看，穿戴式裝置細分市場呈現出突出的趨勢，重點是對穿戴式感測器的資料進行管理，以實現即時健康監測和個體化醫療趨勢。
  • 在亞太地區，跨國合作擴大創建全球相關且文化多元化的資料，進一步推動人工智慧主導的醫療保健解決方案。

目錄

第1章 調查方法和範圍

第2章 執行摘要

第3章 ：醫療保健市場中的人工智慧訓練資料變數、趨勢和範圍

  • 市場體系展望
  • 市場動態
    • 市場促進因素分析
    • 市場抑制因素分析
  • 醫療保健領域的人工智慧訓練資料市場分析工具
    • 產業分析-波特五力分析
    • PESTEL分析
  • 用例分析

第4章 醫療保健領域的人工智慧訓練資料市場：模型、估計和趨勢分析

  • 細分儀表板
  • 醫療保健領域的人工智慧訓練資料市場：模型變異分析，百萬美元，2022 年和 2030 年
  • 句子
  • 影像/影片
  • 其他（語音、結構化資料等）

第5章 醫療保健領域的人工智慧訓練資料市場：資料類型、估計和趨勢分析

  • 細分儀表板
  • 醫療保健領域的人工智慧訓練資料市場：資料類型的變化分析，百萬美元，2022 年和 2030 年
  • 電子病歷
  • 醫學影像處理
  • 穿戴式裝置
  • 遠端醫療
  • 其他

第6章 醫療保健領域的人工智慧訓練資料市場：區域估計和趨勢分析

  • 2022 年和 2030 年醫療保健領域人工智慧訓練資料市場佔有率（按地區），百萬美元
  • 北美洲
    • 2018-2030 年北美醫療保健領域人工智慧訓練資料市場估計與預測
    • 美國
    • 加拿大
  • 歐洲
    • 2018-2030 年歐洲醫療保健人工智慧培訓資料市場估計與預測
    • 英國
    • 德國
    • 法國
  • 亞太地區
    • 2018-2030 年亞太地區醫療保健 AI 培訓資料市場估計與預測
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
  • 拉丁美洲
    • 2018-2030 年拉丁美洲醫療保健領域人工智慧訓練資料市場估計與預測
    • 巴西
    • 墨西哥
  • 中東和非洲
    • 2018-2030 年中東和非洲醫療保健 AI 培訓資料市場估計和預測
    • 南非
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國

第7章 競爭形勢

  • 公司分類
  • 公司市場定位
  • 參與企業概況
  • 企業熱力圖分析
  • 策略規劃
  • 公司簡介/名單
    • 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