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Healthcare Data Collection and Labeling Market Size, Share & Trends Analysis Report by Data Type (Image/Video, Audio, Text), by Region (North America, Europe, APAC, LATAM, MEA), and Segment Forecasts, 2022-2030

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    Report

  • 85 Pages
  • April 2022
  • Region: Global
  • Grand View Research
  • ID: 5595879
The global healthcare data collection and labeling market size is expected to reach USD 4.5 billion by 2030. It is expected to expand at a CAGR of 26.9% from 2022 to 2030. The market is driven by the increased adoption of artificial intelligence and machine learning across the globe. The demand for data labeling is rising due to technological advancements in the industry. Many hospitals and private medical institutions are outsourcing data labeling services for better disease management.



Medical institutions are increasingly using medical data such as videos, images, and patient reports for early and accurate diagnosis of diseases. Medical image labeling provides better diagnosis, prevention, and treatment of diseases than the traditional method of diagnosis. It delivers corresponding results with higher accuracy in the early detection of diseases. It would prove to be one of the powerful methods for future applications in healthcare.

Imaging techniques were extensively used for the diagnosis of COVID-19 during the initial stage. Data collection is crucial for the training of artificial intelligence (AI) algorithms. In association with machine learning, medical imaging diagnostic procedures and AI algorithms have progressed in the recognition of patterns related to disease detection. There was a shortage of medical professionals all over the world at the beginning of the pandemic. Many developed nations opted for AI-assisted solutions to tackle the problem. AI-based data collection and labeling technologies have proved to be useful.

Healthcare Data Collection and Labeling Market Report Highlights

  • Based on data type, the image/video segment held the largest revenue share in 2021 as it is majorly used in medical diagnosis and artificial intelligence requires labeled data for training the algorithms.
  • The text data type segment is anticipated to expand at a CAGR of 29.1% from 2022 to 2030 as the collection of clinical data, particularly unstructured text documents, has become one of the most significant resources for clinical labeling.
  • In 2021, North America dominated the market in terms of revenue owing to the increased adoption of artificial intelligence in the healthcare industry.
  • Asia Pacific is likely to expand at the fastest CAGR of 28.4% from 2022 to 2030. This growth is attributed to the increased use of medical imaging in the healthcare industry in China, India, and Japan.


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Frequently Asked Questions about the Global Healthcare Data Collection and Labeling Market

What is the estimated value of the Global Healthcare Data Collection and Labeling Market?

The Global Healthcare Data Collection and Labeling Market was estimated to be valued at $665.3 Million in 2022.

What is the growth rate of the Global Healthcare Data Collection and Labeling Market?

The growth rate of the Global Healthcare Data Collection and Labeling Market is 26.9%, with an estimated value of $4500.0 Million by 2030.

What is the forecasted size of the Global Healthcare Data Collection and Labeling Market?

The Global Healthcare Data Collection and Labeling Market is estimated to be worth $4500.0 Million by 2030.

Who are the key companies in the Global Healthcare Data Collection and Labeling Market?

Key companies in the Global Healthcare Data Collection and Labeling Market include Appen Limited, Shaip, Cogito Tech LLC, Imerit, Alegion, Snorkel Ai, Labelbox, Infolks and Centaur Labs.

Table of Contents

Chapter 1 Report Scope and Objectives
1.1 Market Segmentation & Scope
1.2 Regional Scope
1.2.1 Estimates and Forecast Timeline
1.3 Objectives
1.3.1 Objective-1
1.3.2 Objective-2
1.3.3 Objective-3
Chapter 2 Methodology
2.1 Research Methodology
2.2 Information Procurement
2.2.1 Purchased Database
2.2.2 Internal Database
2.2.3 Secondary Sources
2.2.4 Primary research
2.3 Information or Data Analysis
2.3.1 Data Analysis Models
2.4 Market Formulation & Validation
2.5 Model Details
2.5.1 Commodity Flow Analysis (Model 1)
2.5.2 Volume Price Analysis (model 2)
2.6 List of Secondary Sources
Chapter 3 Executive Summary
3.1 Market Outlook
3.2 Segment Outlook
3.2.1 Data Type
3.2.2 Region
3.3 Competitive Insights
3.4 Healthcare Data Collection and Labeling Market Outlook, 2021
Chapter 4 Market Variables, Trends & Scope
4.1 Market Lineage Outlook
4.1.1 Parent Market Outlook
4.2 Healthcare Data Collection and Labeling Market Dynamics
4.2.1 Market Driver Analysis
4.2.2 Market Restraint Analysis
4.3 Healthcare Data Collection and Labeling Market: Business Environment Analysis Tools
4.3.1 PORTER’S FIVE FORCES ANALYSIS
4.3.1.1 Threat of new entrants
4.3.1.2 Bargaining power of suppliers
4.3.1.3 Bargaining power of buyers
4.3.1.4 Competitive rivalry
4.3.1.5 Threat of substitutes
4.3.2 PESTEL Analysis
4.3.2.1 Political & Legal
4.3.2.2 Economic & Social
4.3.2.3 Technological
4.4 Penetration & Growth Prospect Mapping
4.5 Technology Trend Analysis
4.6 Regulatory Framework
4.7 Impact of COVID-19 on Healthcare Data Collection and Labeling Market
Chapter 5 Healthcare Data Collection and Labeling Market: Data Type Analysis
5.1 Healthcare Data Collection and Labeling Market Data Type Market Share Analysis, 2021 & 2030
5.2 Healthcare Data Collection and Labeling Market Data Type Market: Segment Dashboard
5.3 Market Size & Forecasts and Trend Analyses, 2017 to 2030 for the Data Type Segment
5.3.1 Image/Video
5.3.1.1 Image/video market, 2017-2030 (USD Million)
5.3.2 Audio
5.3.2.1 Audio market, 2017-2030 (USD Million)
5.3.3 Text
5.3.3.1 Text market, 2017-2030 (USD Million)
5.3.4 Others
5.3.4.1 Others market, 2017-2030 (USD Million)
Chapter 6 Healthcare Data Collection and Labeling Market: Regional Analysis
6.1 Healthcare Data Collection and Labeling Regional Market Share Analysis, 2021 & 2030
6.2 Regional Market Snapshot
6.3 North America
6.3.1 North America Healthcare data collection and labeling market, 2017-2030 (USD Million)
6.3.2 U.S.
6.3.2.1 U.S. healthcare data collection and labeling market, 2017-2030 (USD Million)
6.3.3 Canada
6.3.3.1 Canada healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4 Europe
6.4.1 Europe Healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4.2 U.K.
6.4.2.1 U.K. healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4.3 Germany
6.4.3.1 Germany healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4.4 France
6.4.4.1 France healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4.5 Italy
6.4.5.1 Italy healthcare data collection and labeling market, 2017-2030 (USD Million)
6.4.6 Spain
6.4.6.1 Spain healthcare data collection and labeling market, 2017-2030 (USD Million)
6.5 Asia Pacific
6.5.1 Asia Pacific Healthcare data collection and labeling Market, 2017-2030 (USD Million)
6.5.2 Japan
6.5.2.1 Japan healthcare data collection and labeling market, 2017-2030 (USD Million)
6.5.3 China
6.5.3.1 China healthcare data collection and labeling market, 2017-2030 (USD Million)
6.5.4 India
6.5.4.1 India healthcare data collection and labeling market, 2017-2030 (USD Million)
6.6 Latin America
6.6.1 Latin America Healthcare data collection and labeling Market, 2017-2030 (USD Million)
6.6.2 Brazil
6.6.2.1 Brazil healthcare data collection and labeling market, 2017-2030 (USD Million)
6.6.3 Mexico
6.6.3.1 Mexico healthcare data collection and labeling market, 2017-2030 (USD Million)
6.7 Middle East and Africa (MEA)
6.7.1 MEA Healthcare data collection and labeling Market, 2017-2030 (USD Million)
6.7.2 South Africa
6.7.2.1 South Africa healthcare data collection and labeling market, 2017-2030 (USD Million)
Chapter 7 Competitive Analysis
7.1 Recent Developments & Impact Analysis, by Key Market Participants
7.2 Company Profiles
7.2.1 Appen Limited
7.2.1.1 Company overview
7.2.1.2 Product benchmarking
7.2.1.3 Strategic initiatives
7.2.2 Shaip
7.2.2.1 Company overview
7.2.2.2 Product benchmarking
7.2.2.3 Strategic initiatives
7.2.3 Cogito Tech LLC
7.2.3.1 Company overview
7.2.3.2 Product benchmarking
7.2.3.3 Strategic initiatives
7.2.4 Imerit
7.2.4.1 Company overview
7.2.4.2 Product benchmarking
7.2.4.3 Strategic initiatives
7.2.5 Alegion
7.2.5.1 Company overview
7.2.5.2 Product benchmarking
7.2.5.3 Strategic initiatives
7.2.6 Snorkel AI
7.2.6.1 Company overview
7.2.6.2 Product benchmarking
7.2.6.3 Strategic initiatives
7.2.7 Labelbox
7.2.7.1 Company overview
7.2.7.2 Product benchmarking
7.2.7.3 Strategic initiatives
7.2.8 Infolks
7.2.8.1 Company overview
7.2.8.2 Product benchmarking
7.2.9 Datalabeller
7.2.9.1 Company Overview
7.2.9.2 Product Benchmarking
7.2.10 Centaur Labs
7.2.10.1 Company overview
7.2.10.2 Product benchmarking
7.2.10.3 Strategic initiatives

Companies Mentioned

  • Appen Limited
  • Shaip
  • Cogito Tech LLC
  • Imerit
  • Alegion
  • Snorkel Ai
  • Labelbox
  • Infolks
  • Datalabeller
  • Centaur Labs

Methodology

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