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Healthcare Prescriptive Analytics Market Trends

Report ID: GMI8061
Published Date: Feb 2024
Report Format: PDF

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Healthcare Prescriptive Analytics Market Trends

The growing focus on personalized and data-driven healthcare solutions has prompted healthcare providers to utilize prescriptive analytics. This approach empowered the providers to make informed personalized decisions, ultimately optimizing the patient outcomes and operational efficiency.

Also, the demand for precise proposals based on data insights, coupled with advancements in technology and the growing volume of healthcare data, anticipates spurring the adoption of prescriptive analytics driving market expansion. For instance, in June 2023, Pyramid Analytics Decision Intelligence Platform introduced Tabulate and Solve extensions, for business and decision modelling in a unified platform. The key updates enhanced the accessibility and utility, making complex processes like business modelling and prescriptive analytics more user-friendly for both technical and non-technical users. This advancement aimed to propel the healthcare analytics sector and enhance capabilities across various industries. Thus, the continuous advancement in the analytics sectors serves as a catalyst for market growth.

Authors: Mariam Faizullabhoy, Gauri Wani

Frequently Asked Questions (FAQ) :

The global healthcare prescriptive analytics industry was valued at USD 3.6 billion in 2023 and is expected to reach USD 12.9 billion by 2032 as it provides specific guidance on actions to improve patient outcomes, operational efficiency, and overall healthcare processes.

The software segment generated revenue of USD 2.3 billion in 2023 and will grow significantly through 2032 as healthcare organizations are increasingly prioritizing data-driven decision-making.

In 2023, North America secured a substantial share in the healthcare prescriptive analytics market and is expected to grow through 2032, owing to the presence of advanced healthcare infrastructure, widespread adoption of digital technologies, and a strong commitment to data-driven decision-making.

AIMMS, Alteryx, Deerwalk Inc., FICO, Frontline Systems, Inc., GUROBI OPTIMIZATION, LLC., Health Catalyst, IBM Corporation, Optum, Inc., Oracle Corporation, River Logic, Inc., and SAS Institute Inc.