PUBLISHER: Grand View Research | PRODUCT CODE: 1363503
PUBLISHER: Grand View Research | PRODUCT CODE: 1363503
The global data monetization in healthcare market size is estimated to reach USD 1,619.4 million by 2030, expanding at a CAGR of 18.8% from 2023 to 2030 , according to a new report by Grand View Research, Inc.. The growth of data monetization in the healthcare market can be attributed to the growing adoption of Electronic Health Records (EHR), investments in advanced analytics, and the growing adoption of Artificial Intelligence (AI) in precision medicine. Users can receive insights from massive datasets such as genetic sequence variants and drug discovery pipeline analytics by combining data monetization platforms with medical records, particularly Electronic Health Records (EHR), creating robust opportunities for healthcare data monetization market. Further, by leveraging data analytics tools, healthcare organizations can get actionable results from their existing data, which can be used to develop advanced products and services and improve existing ones. For instance, Medical Data as a Service (mDaaS) is a cloud-based solution that allows healthcare organizations to store, manage, and analyze data while unlocking new value paradigms. These key factors are expected to drive data monetization growth in the healthcare market over the forecast period.
The companies operating in the healthcare data monetization market are responding to changing end-use requirements and investing aggressively in bringing revolutionary changes to their Natural Language Processing (NLP)- and AI-based data monetization solutions. For instance, in October 2022, Healthcare technology company John Snow Labs announced improvements to its data de-identification solution to assist healthcare companies in enhancing data monetization. The improved solution ensures strict compliance with regulatory and legal requirements by removing Protected Health Information (PHI) from patient databases to share the data with pharmaceutical and other healthcare companies for research purposes. The data extraction tools featured in the improved solution can automatically de-identify the PHI using NLP algorithms. Such developments would further drive data monetization in the healthcare market during the forecast period.
When attempting to commercialize data while following Health Insurance Portability and Accountability Act (HIPAA) laws, healthcare firms confront several obstacles and limits, the process of obtaining patient consent to use their personal health information can be difficult due to various circumstances. Individuals may be concerned about their personal health information's privacy, security, potential misuse, and commercial use. By prioritizing the security and privacy of data, companies are adding new technologies, such as Machine Learning (ML), Artificial Intelligence (AI), Big Data analytics, and the Internet of Things (IoT), that automate, speed up, and improve businesses. Considering that these technologies need more storage space and computational power, cloud computing provides an easy solution to integrate these technologies. Such factors would further drive data monetization in the healthcare market during the forecast period.