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(Medical-NewsWire.com, June 23, 2023 ) The report "Healthcare Data Monetization Market by Type (Direct, Indirect), Deployment (On-premise, Cloud), End User (Pharmaceutical & Biotechnology Companies, Healthcare Payers, Healthcare Providers, Medical Technology Companies), Region - Global Forecast to 2028", The global healthcare data monetization market is projected to reach USD 0.9 billion by 2028, from USD 0.4 billion in 2023, at a CAGR of 18.5% from 2023 to 2028. Factors such as exponentially increasing data volume and generation of large and complex healthcare datasets, the need to curtail escalating healthcare costs, expanding partnerships and collaborations among players, and growing investments in the adoption of EHR systems primarily drive the growth of this market. Furthermore, the rising adoption of AI in precision medicine and the growing demand for real-world evidence (RWE) would provide lucrative opportunities to solution providers.
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The cloud segment is expected to be the fastest-growing healthcare data monetization market, by deployment, during the forecast period.
Based on deployment, the market is segmented into on-premise and cloud. The cloud segment is expected to grow at a higher CAGR during the forecast period due to increased agility and scalability offered by cloud-based data monetization solutions. Cloud platforms provide secure and scalable storage solutions for vast amounts of healthcare data, including electronic health records, medical images, and patient-generated data. Furthermore, cloud-based analytics tools enable healthcare organizations to perform advanced data analysis, leveraging machine learning algorithms and artificial intelligence to gain valuable insights from complex datasets.
The pharmaceutical & biotechnology companies segment, by end-user, is expected to be the largest healthcare data monetization market in 2023
Based on the end user, the market is broadly segmented into pharmaceutical & biotechnology companies; healthcare payers; healthcare providers; medical technology companies; and other end users. Pharmaceutical & biotechnology companies would account for the largest share of the global end-user market in 2023. Market growth can be attributed to the rising demand for solutions to cut the time and costs of drug development. Pharmaceutical and biotechnology companies can benefit significantly from healthcare data monetization, as it can help them develop new drugs, identify potential markets, and improve patient outcomes.
Asia Pacific is expected to be the fastest-growing in healthcare data monetization market during the forecast period.
The global market has been segmented based on region: North America, Europe, Asia Pacific, Latin America and Middle East & Africa. Asia Pacific market is projected to register the highest CAGR during the forecast period. Emerging countries in the Asia Pacific, such as India and China, offer lucrative growth opportunities for market players, primarily due to the increasing adoption of digital healthcare technologies, increasing public and private funding, improving IT infrastructure, the demand for affordable healthcare, favorable government norms, growing awareness about precision medicine, and the high incidence of cancer and chronic diseases are expected to boost the adoption of healthcare data monetization solutions in Asia Pacific.
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Major players operating in the healthcare data monetization market are Oracle Corporation (US), Microsoft Corporation (US), Google (US), Salesforce, Inc. (US), SAS Institute Inc. (US), SAP SE (Germany), TIBCO Software Inc. (US), Sisense Inc. (US), Snowflake Inc. (US), QlikTech International AB (US), HealthVerity, Inc. (US), Accenture (Ireland), Availity, LLC (US), Domo, Inc. (US), Komodo Health, Inc. (US), ThoughtSpot Inc. (US), Datavant (US), Verato (US), Infor, Inc. (US), Virtusa (US), Infosys (India), Particle Health, Inc. (US), Innovaccer, Inc. (US), H1 (US), and Medoble Inc. (US).
MarketsandMarkets™
Mr. Aashish Mehra
1-888-600-6441
raviraj.tak@marketsandmarkets.com
Source: EmailWire.Com 
Source: EmailWire.com
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