Summary

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

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Table of Contents

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.