Resource Data

Global Healthcare Data Collection and Labeling Market Snapshot to 2030 – Featuring Cogito Tech, Alegion, and Centaur Labs, Among Others –

DUBLIN–(BUSINESS WIRE)–The “Health Data Collection and Labeling Market Size, Share and Trend Analysis Report by Data Type (Image/Video, Audio, Text), by Region ( North America, Europe, APAC, LATAM, MEA) and Segment Forecast, Report 2022-2030″ has been added to from offer.

The global health data collection and labeling market size is expected to reach USD 4.5 billion by 2030. It is expected to grow at a CAGR of 26.9% from 2022 to 2030.

Companies cited

  • app limited

  • Shaip

  • Cogito Tech LLC

  • Deserves

  • alegion

  • Snorkel Ai

  • label box

  • Infotalks

  • Datalabeller

  • Centaur Laboratories

The market is driven by the increasing adoption of artificial intelligence and machine learning across the globe. The demand for data labeling is increasing due to technological advancements in the industry. Many hospitals and private medical facilities outsource data labeling services for better disease management.

Medical institutions increasingly use medical data such as videos, images and patient reports for early and accurate diagnosis of diseases. Medical image labeling offers better diagnosis, prevention and treatment of diseases than the traditional method of diagnosis.

It provides corresponding results with higher accuracy in early disease detection. It would prove to be one of the powerful methods for future applications in healthcare.

Imaging techniques have been widely used for the diagnosis of COVID-19 during the initial phase. Data collection is crucial for training artificial intelligence (AI) algorithms. In combination with machine learning, medical imaging diagnostic procedures and AI algorithms have advanced in recognizing patterns related to disease detection.

There was a shortage of medical professionals all over the world at the start of the pandemic. Many developed countries have opted for AI-assisted solutions to solve the problem. AI-based data collection and labeling technologies have proven useful.

Highlights of the Healthcare Data Collection and Labeling Market Report

  • Based on data type, the image/video segment held the largest revenue share in 2021 as it is mainly used in medical diagnostics and artificial intelligence requires labeled data to train the algorithms.

  • The textual data type segment is expected to grow at a CAGR of 29.1% from 2022 to 2030, as the collection of clinical data, especially unstructured textual documents, has become one of the most important resources for the clinical labeling.

  • In 2021, North America led the market in terms of revenue owing to the increased adoption of artificial intelligence in the healthcare sector.

  • Asia-Pacific is expected to grow 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 sector in China, India and Japan .

Main topics covered:

Chapter 1 Report Scope and Objectives

Chapter 2 Methodology

Chapter 3 Executive Summary

Chapter 4 Market Variables, Trends and Scope

4.1 Market Lineage Prospects

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 Scanning Tools

4.4 Mapping penetration and growth prospects

4.5 Technology Trend Analysis

4.6 Regulatory framework

4.7 Impact of COVID-19 on the Healthcare Data Collection and Labeling Market

Chapter 5 Healthcare Data Collection and Labeling Market: Data Type Analysis

Chapter 6 Healthcare Data Collection and Labeling Market: Regional Analysis

Chapter 7 Competitive Analysis

7.1 Recent Developments and Impact Analysis, by Major Market Players

7.2 Company Profiles

For more information about this report visit