Healthcare Predictive Analytics Market Regional Analysis

Skyquest Technology's expert advisors have carried out comprehensive global market analysis on the healthcare predictive analytics market, covering regional industry trends and market insights. Our team of analysts have conducted in-depth primary and secondary research to provide regional industry analysis and forecast of healthcare predictive analytics market across North America, South America, Europe, Asia, the Middle East, and Africa.

Healthcare Predictive Analytics Market Regional Insights

North America dominated the global market in 2021. This region accounted for the maximum share of more than 48.5% of the global market revenue in the same year. Factors like developed structure of the healthcare system and the trained staff for performing predictive analysis, paying capacity in terms of training staff to use these analytics tools has been growth of the market.

Asia Pacific is expected to rank second in the healthcare predictive analytics market in the future, as both government and private investors are expected to play a key role in the development of healthcare infrastructure in developing countries such as India and Indonesia, fueling the growth of the healthcare predictive analytics market.

Europe may also see rapid growth in the global healthcare predictive analytics market owing to improved healthcare infrastructure in countries such as Germany and the United Kingdom.

In the coming years, other regions such as Latin America, the Middle East, and Africa are expected to see moderate growth in the overall healthcare predictive analytics market.

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Healthcare Predictive Analytics Market size was valued at USD 11.58 Billion in 2023 and is poised to grow from USD 14.42 Billion in 2024 to USD 103.6 Billion by 2032, growing at a CAGR of 24.5% during the forecast period (2025-2032).

The players in the global healthcare predictive analytics market are constantly inventing and developing improved analytical solutions, as well as extending their product offerings. To help healthcare organizations implement data analysis solutions, combat the pandemic, and preserve competitive advantage in the healthcare analytics market, the companies are focused on their alliances, technology collaborations, and product launch strategies. 'IBM Corporation ', 'Cerner Corporation ', 'McKesson Corporation ', 'SAS Institute Inc. ', 'Oracle Corporation ', 'Health Catalyst ', 'Optum, Inc. ', 'Allscripts Healthcare Solutions, Inc. ', 'Epic Systems Corporation ', 'Verisk Analytics, Inc. ', 'Inovalon ', 'Cognizant Technology Solutions ', 'MedeAnalytics, Inc. ', 'SCIO Health Analytics ', 'Truven Health Analytics ', 'HMS Holdings Corp. ', 'CitiusTech Inc. ', 'Change Healthcare ', 'Koninklijke Philips N.V. ', 'GE Healthcare'

Predictive analytics in the healthcare enables experts to find opportunities to improve care delivery. As, healthcare data analytics integrates real time and historical data to forecast trends, increase medical care, expose actionable insights, and fuel long term growth. Furthermore, healthcare analytics systems make use of massive volumes of data to present enterprises with useful information, clinical outcomes, operations, and patient engagement.

​Emergence and rise of technologies such as the IOT and big data that are increasingly being coupled with healthcare systems could also fuel the growth in the healthcare predictive analytics market in forecasting period. The healthcare predictive analytics tool has proven effective in decreasing the number of unnecessary tests, which has helped reduce healthcare costs.

North America dominated the global market in 2021. This region accounted for the maximum share of more than 48.5% of the global market revenue in the same year. Factors like developed structure of the healthcare system and the trained staff for performing predictive analysis, paying capacity in terms of training staff to use these analytics tools has been growth of the market.

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Healthcare Predictive Analytics Market
Healthcare Predictive Analytics Market

Report ID: SQMIG35G2230

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