2025-2029年全球醫療保健領域人工智慧訓練資料集市場

預計在預測期內，全球醫療保健領域人工智慧訓練資料集市場規模將達到 8.29 億美元，從 2024 年到 2029 年的複合年成長率將達到 23.5%。

本報告對全球醫療保健領域人工智慧訓練資料集市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家公司的供應商分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析，這些因素包括醫療保健領域人工智慧和機器學習的日益普及、醫療數據量和種類的爆炸式成長以及對個性化和精準醫療日益成長的需求。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告提供歷史數據和預測數據。

研究指出，為因應隱私和資料稀缺等挑戰，合成資料生成技術的日益普及是推動未來幾年全球醫療保健人工智慧訓練資料集市場成長的主要因素之一。此外，向多模態資料集和基礎模型的策略轉變，以及聯邦學習和以資料為中心的人工智慧平台的興起，預計也將顯著推動市場需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格回應性、生命週期、顧客購買籃子、採納率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球醫療保健領域人工智慧訓練資料集市場
• 類型細分分析，2019-2023年
• 組件細分分析，2019-2023 年
• 應用細分市場分析，2019-2023 年
• 區域細分市場分析，2019-2023年
• 國家細分市場分析，2019-2023年

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

7. 按類型分類的市場細分

• 比較：按類型
• 影像
• 文字
• 其他
• 按類型分類的市場機會

8. 按組件進行市場細分

• 比較：按組件
• 軟體
• 服務
• 按組件分類的市場機會

第9章 按應用進行市場細分

• 比較：透過應用
• 醫學影像
• 電子健康記錄
• 穿戴式裝置
• 遠端醫療
• 其他
• 按應用分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 英國
  • 法國
  • 義大利
  • 荷蘭
  • 西班牙
• 亞太地區
  • 中國
  • 日本
  • 印度
  • 韓國
  • 澳洲
  • 印尼
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 以色列
  • 土耳其
• 各區域的市場機遇

第12章：促進因素、挑戰與機遇

• 市場促進因素
• 市場挑戰
• 促進因素和挑戰的影響
• 市場機遇

第13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• ALEGION
• Amazon Web Services Inc.
• APPEN Ltd.
• BioMind
• CloudMedx Inc.
• Cogito Tech LLC
• Google Cloud
• Health Catalyst Inc.
• IBM Corp.
• MDClone Ltd.
• Microsoft Corp.
• PathAI Inc.
• Scale
• Syntegra Services
• Tempus Labs Inc.

第15章附錄

The global AI training dataset in healthcare market is forecasted to grow by USD 829.0 mn during 2024-2029, accelerating at a CAGR of 23.5% during the forecast period. The report on the global AI training dataset in healthcare market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by surging adoption of artificial intelligence and machine learning in healthcare, explosive growth in healthcare data volume and variety, growing demand for personalized medicine and precision health.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI training dataset in healthcare market is segmented as below:

By Type

• Image
• Text
• Others

By Component

• Software
• Services

By Application

• Medical imaging
• Electronic health records
• Wearable devices
• Telemedicine
• Others

Geography

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • The Netherlands
  • Spain
• APAC
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the increasing adoption of synthetic data generation to overcome privacy and scarcity hurdles as one of the prime reasons driving the global AI training dataset in healthcare market growth during the next few years. Also, strategic shift towards multimodal datasets and foundation models and emergence of federated learning and data-centric AI platforms will lead to sizable demand in the market.

The report on the global AI training dataset in healthcare market covers the following areas:

• Global AI training dataset in healthcare market sizing
• Global AI training dataset in healthcare market forecast
• Global AI training dataset in healthcare market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI training dataset in healthcare market vendors that include Aidence B.V., ALEGION, Amazon Web Services Inc., APPEN Ltd., BioMind, CloudMedx Inc., Cogito Tech LLC, Corti, Google Cloud, Health Catalyst Inc., IBM Corp., Lunit Inc., MDClone Ltd., Microsoft Corp., PathAI Inc., Qure.ai Technologies Pvt. Ltd., Scale, Syntegra Services, Tempus Labs Inc.. Also, the global AI training dataset in healthcare market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Type
  • Executive Summary - Chart on Market Segmentation by Component
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI Training Dataset In Healthcare Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI Training Dataset In Healthcare Market 2019 - 2023 ($ million)
• 5.2 Type segment analysis 2019 - 2023
  • Historic Market Size - Type Segment 2019 - 2023 ($ million)
• 5.3 Component segment analysis 2019 - 2023
  • Historic Market Size - Component Segment 2019 - 2023 ($ million)
• 5.4 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Type

• 7.1 Market segments
• 7.2 Comparison by Type
• 7.3 Image - Market size and forecast 2024-2029
• 7.4 Text - Market size and forecast 2024-2029
• 7.5 Others - Market size and forecast 2024-2029
• 7.6 Market opportunity by Type
  • Market opportunity by Type ($ million)

8 Market Segmentation by Component

• 8.1 Market segments
• 8.2 Comparison by Component
• 8.3 Software - Market size and forecast 2024-2029
• 8.4 Services - Market size and forecast 2024-2029
• 8.5 Market opportunity by Component
  • Market opportunity by Component ($ million)

9 Market Segmentation by Application

• 9.1 Market segments
• 9.2 Comparison by Application
• 9.3 Medical imaging - Market size and forecast 2024-2029
• 9.4 Electronic health records - Market size and forecast 2024-2029
• 9.5 Wearable devices - Market size and forecast 2024-2029
• 9.6 Telemedicine - Market size and forecast 2024-2029
• 9.7 Others - Market size and forecast 2024-2029
• 9.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 North America - Market size and forecast 2024-2029
  • 11.3.1 US - Market size and forecast 2024-2029
  • 11.3.2 Canada - Market size and forecast 2024-2029
  • 11.3.3 Mexico - Market size and forecast 2024-2029
• 11.4 Europe - Market size and forecast 2024-2029
  • 11.4.1 Germany - Market size and forecast 2024-2029
  • 11.4.2 UK - Market size and forecast 2024-2029
  • 11.4.3 France - Market size and forecast 2024-2029
  • 11.4.4 Italy - Market size and forecast 2024-2029
  • 11.4.5 The Netherlands - Market size and forecast 2024-2029
  • 11.4.6 Spain - Market size and forecast 2024-2029
• 11.5 APAC - Market size and forecast 2024-2029
  • 11.5.1 China - Market size and forecast 2024-2029
  • 11.5.2 Japan - Market size and forecast 2024-2029
  • 11.5.3 India - Market size and forecast 2024-2029
  • 11.5.4 South Korea - Market size and forecast 2024-2029
  • 11.5.5 Australia - Market size and forecast 2024-2029
  • 11.5.6 Indonesia - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.2 UAE - Market size and forecast 2024-2029
  • 11.7.3 South Africa - Market size and forecast 2024-2029
  • 11.7.4 Israel - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Surging adoption of artificial intelligence and machine learning in healthcare
  • Explosive growth in healthcare data volume and variety
  • Growing demand for personalized medicine and precision health
• 12.2 Market challenges
  • Stringent data privacy, security, and complex regulatory compliance
  • Poor data quality, lack of interoperability, and standardization
  • High cost and scarcity of high-quality, expertly annotated data
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Increasing adoption of synthetic data generation to overcome privacy and scarcity hurdles
  • Strategic shift towards multimodal datasets and foundation models
  • Emergence of federated learning and data-centric AI platforms

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 ALEGION
  • ALEGION - Overview
  • ALEGION - Product / Service
  • ALEGION - Key offerings
  • SWOT
• 14.5 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.6 APPEN Ltd.
  • APPEN Ltd. - Overview
  • APPEN Ltd. - Product / Service
  • APPEN Ltd. - Key offerings
  • SWOT
• 14.7 BioMind
  • BioMind - Overview
  • BioMind - Product / Service
  • BioMind - Key offerings
  • SWOT
• 14.8 CloudMedx Inc.
  • CloudMedx Inc. - Overview
  • CloudMedx Inc. - Product / Service
  • CloudMedx Inc. - Key offerings
  • SWOT
• 14.9 Cogito Tech LLC
  • Cogito Tech LLC - Overview
  • Cogito Tech LLC - Product / Service
  • Cogito Tech LLC - Key offerings
  • SWOT
• 14.10 Google Cloud
  • Google Cloud - Overview
  • Google Cloud - Product / Service
  • Google Cloud - Key offerings
  • SWOT
• 14.11 Health Catalyst Inc.
  • Health Catalyst Inc. - Overview
  • Health Catalyst Inc. - Business segments
  • Health Catalyst Inc. - Key offerings
  • Health Catalyst Inc. - Segment focus
  • SWOT
• 14.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.13 MDClone Ltd.
  • MDClone Ltd. - Overview
  • MDClone Ltd. - Product / Service
  • MDClone Ltd. - Key offerings
  • SWOT
• 14.14 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.15 PathAI Inc.
  • PathAI Inc. - Overview
  • PathAI Inc. - Product / Service
  • PathAI Inc. - Key offerings
  • SWOT
• 14.16 Scale
  • Scale - Overview
  • Scale - Product / Service
  • Scale - Key offerings
  • SWOT
• 14.17 Syntegra Services
  • Syntegra Services - Overview
  • Syntegra Services - Product / Service
  • Syntegra Services - Key offerings
  • SWOT
• 14.18 Tempus Labs Inc.
  • Tempus Labs Inc. - Overview
  • Tempus Labs Inc. - Product / Service
  • Tempus Labs Inc. - Key offerings
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations