PUBLISHER: Grand View Research | PRODUCT CODE: 1587521
PUBLISHER: Grand View Research | PRODUCT CODE: 1587521
The global de-identified health data market size is expected to reach USD 13.59 billion by 2030, registering a CAGR of 9.0% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market's growth is primarily driven by the rising demand for data analytics in healthcare, which supports population health studies and predictive modeling while ensuring patient privacy. Increasing regulatory pressure surrounding data protection, combined with AI and machine learning advancements, is creating a growing need for large-scale, de-identified datasets. In addition, the surge in data from wearables and electronic health records (EHRs) generates substantial volumes of information suitable for de-identification and secondary use, further boosting market demand.
De-identified data is utilized to derive insights into insurance status by analyzing patterns related to patient enrollment in pharmacy and medical insurance. This data enables organizations to identify primary and secondary payers, assess coverage trends, and understand patient demographics without compromising privacy. For instance, in June 2024, Komodo Health introduced the Komodo Patient Insurance (KPI). This novel data offering provides detailed insights into the insurance status of over 200 million de-identified U.S. patients. This resource accurately identifies patients' pharmacy and medical insurance enrollment, detailing primary and secondary payer information across various channels, segments, and geographies. The KPI will assist Commercial, Market Access, Medical Affairs, and Health Economics and Outcomes Research (HEOR) teams in efficiently addressing key business questions related to patient enrollment and payer mapping.
Moreover, the increasing partnership and collaboration among the key market players are expected to drive market growth. For instance, in March 2024, Verantos announced a partnership with Curimeta to enhance the utilization of de-identified health data in clinical research. This collaboration focuses on improving real-world evidence generation while ensuring patient privacy through robust data de-identification processes. By leveraging Curimeta's data science capabilities and Verantos' expertise in real-world data, the partnership aims to provide valuable insights that can drive healthcare innovations and improve patient outcomes. The emphasis on de-identified data is crucial for facilitating secure data sharing and compliance with regulatory standards.
"The Verantos Evidence Platform uses artificial intelligence (AI) to generate unique disease-specific insights. It is critical that AI models are trained using high-quality patient care data. CuriMeta's participation will enable us to enhance our disease-specific Pragmatic Registries that are used to accelerate life sciences research."
Anand Shroff, President of Verantos