Healthcare Data Collection and Labeling Market was valued at USD 1.1 billion in 2024 and is anticipated to surpass USD 18.3 billion by 2037, registering a CAGR of 25.8% during the forecast timeline i.e. 2025-2037. In 2025, the industry size of healthcare data collection and labeling is estimated at USD 1.4 billion.
The growing adoption of AI and ML are transforming the collection and labeling of healthcare data through the automation of the annotation process. This reduces the need for manual intervention and improves the speed and accuracy of data labeling. According to the National Library of Medicine, October 2023, over 80% of the available healthcare data is unstructured. These data sources are being extracted and labeled using natural language processing (NLP) technology.
Furthermore, platforms that facilitate cooperative data labeling and sharing between researchers, physicians, and AI developers are also gaining popularity. By pooling collective expertise, these platforms improve the labeled data's accuracy and dependability. For instance, in October 2023, Microsoft unveiled new AI and data solutions, Microsoft Fabric to help healthcare organizations gain insights and enhance the experiences of patients and clinicians. These developments in technology are revolutionizing the market by producing more accurate, scalable, and efficient solutions that improve patient care and advance medical research around the world.
In December 2021, Summa Linguae Technologies announced the acquisition of Datamundi, aiming to expand the range of services available to customers and complement their current data solutions offerings. Additionally, the industry's growing focus on voice and image data annotation will be aided by this acquisition. Thus, expanding the global portfolio in advanced data analytics tools and technologies used by healthcare providers. Such factors act as significant growth drivers for the global healthcare data collection and labeling market.
Growth Drivers
Challenges
Base Year |
2024 |
Forecast Year |
2025-2037 |
CAGR |
25.8% |
Base Year Market Size (2024) |
USD 1.1 billion |
Forecast Year Market Size (2037) |
USD 18.3 billion |
Regional Scope |
|
Data Type (Image, Audio, Text, Video, Other data types)
The image segment in the healthcare data collection and labeling market remains significant with expected share of 30.5% by 2037. The reliance on medical imaging technologies for diagnostics and treatment planning is increasingly growing. Therefore, high-precision labeling is a great necessity. Moreover, some of these modalities may use AI and machine learning on an everyday basis, which further enhances diagnostic accuracy and operational efficiency. For instance, in August 2024, Siemens Healthineers installed an AI-powered multi-testing diagnostic analyzer at Mahajan Imaging & Labs. It is aimed at enhancing patient comfort and delivering accurate and prompt results.
End use (Hospitals and clinics, Diagnostic laboratories, Research organizations, Pharmaceutical companies)
Based on end use, hospitals and clinics segment in the healthcare data collection and labeling market is poised to record remarkable growth during the forecast timeline. As healthcare providers begin to adopt data-driven decision-making, hospitals and clinics are in a better development process of managing data to improve care and operation. For instance, in September 2023, Oracle Cerner announced the incorporation of generative AI into its EHR platforms, designed to respond to the voice commands in the clinical settings and mitigate the manual burden. Thus, incorporating digital solutions into clinical settings to refrain from unintrusive documentation and better patient information labeling, enables proper treatment planning and care continuity.
Our in-depth analysis of the healthcare data collection and labeling market includes the following segments:
Data Type |
|
End use |
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North America Market Statistics
North America healthcare data collection and labeling market is expected to transform drastically with a significant share of 37.8%. The electronic health records, telemedicine, and the growing focus on using analytics for improving patient outcomes are also fostering the region’s growth. Furthermore, the regulatory framework in the region, such as the Health Insurance Portability and Accountability Act (HIPAA) establishes a set of requirements such as protected health information for safeguarding the security and privacy of health data with several technical standards in electronic healthcare transactions.
Due to federal incentives and mandates, Electronic Health Records (EHRs) are being widely implemented in the U.S. to properly integrate and use patient data. For instance, in June 2024, The Automated EHR Summarizer, a new digital solution from Munich Re Life US and Clareto was launched. It offers an intelligent and user-friendly summary of electronic health record (EHR) data in two formats such as structured digital data for use in rules, models, and analytics, and an easy-to-use, human-readable HTML report. The healthcare industry's growing use of big data analytics for personalized medicine and population health management is further propelling the healthcare data collection and labeling market expansion.
Canada is fostering its digital healthcare ecosystem through investments in various companies and healthcare settings to enhance the efficacy in delivering better treatments and patient care. For instance, in July 2024, Canada's Global Innovation Cluster for Digital Technologies with creative Canada health tech companies and researchers, announced its largest investment worth USD 15.3 million. The aim of this investment was to promote the development and implementation of AI-powered technologies that will better assist healthcare providers and improve patient outcomes.
Asia Pacific Market Analysis
The Asia Pacific has significantly grown in the healthcare data collection and labeling market in the last few years, driven by rapid digital transformation and increased investment in health information technology. Surging demand for individualized medicine, outpatient monitoring, and streamlined data management systems has altogether flourished the market in this region. It is also witnessing a surge in health tech startups which renders expertise in data collection, analysis, and labeling functionality funded by venture capitals.
The government of China is focusing on making huge investments in healthcare domain and also integration of digital solutions such as standardization of electronic health records across hospitals and clinics. The local government has implemented a Healthy China 2030 program by ensuring standard electronic health records and data sharing across health institutions. This also facilitates healthcare providers to utilize data collection and labeling services to render efficient and reliable outcomes in improving patient’s health.
The foundation of India’s healthcare organizations to explore big data for personalized medicine and predictive analytics is eliciting heavy investments in robust data collection and labeling infrastructure. For instance, in October 2024, Andrew Ng's AI Fund invested in Jivi, an Indian AI healthcare startup. This action emphasizes India's potential to become a global leader in AI-driven solutions and the growing impact of AI in the healthcare sector, thus facilitating the use of innovations for improving health services and patient care.
The companies in healthcare data collection and labeling market are emphasizing on the innovative services and cutting-edge solutions. These strategies clubbed with enhanced functionality, benefits, and affordability are crucial that spur industry competition and innovation. For instance, in August 2021, Snorkel AI raised USD 85 million at a valuation of USD 1 billion to build an AI training database. It was aimed to save time while improving accuracy and dependability in healthcare systems. Therefore, revolutionizing the era of the healthcare domain with technological advancement.
Here's a list of companies dominating the competitive landscape:
Author Credits: Radhika Pawar
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