Healthcare Predictive Analytics Market

Healthcare Predictive Analytics Market Size, Share, Growth Analysis, By Product Type(Hardware, Services, Software), By Application(Financial Analytics, Clinical, Population Health, Operations Management), By End-use(Payers, Providers, Others), By Region - Industry Forecast 2024-2031


Report ID: SQMIG35G2230 | Region: Global | Published Date: July, 2001
Pages: 260 | Tables: 91 | Figures: 76

Healthcare Predictive Analytics Market Dynamics

Healthcare Predictive Analytics Market Drivers

  • 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.
  • Due to an increase in the use of big data in healthcare organizations to address risks connected with numerous chronic diseases, the healthcare analytics market is predicted to grow. Furthermore, the growing use of telemedicine solutions by various enterprises to lower operational costs and improve service quality is propelling the healthcare analytics market expansion. Furthermore, big data facilitates the preservation of critical patient data that may be used to improve a company’s healthcare outcomes. It reduces personnel expenses and increased organizational productivity, all of which help the healthcare analytics market to grow during the forecast period.

Healthcare Predictive Analytics Market Restraints

  • Data privacy and theft issues, as the availability of different payment modes the fraudulent has increased via hackers, thefts and others. This may hamper the data privacy concern about the money and transactions.
  • Lack of high technical and statistical knowledge among healthcare professionals is expected to restrain the market growth. It is observed that there exists a dearth of skilled professionals in the healthcare sector for the smooth adoption and integration of novel technologies such as big data analytics, machine learning and artificial intelligence, among others. This is one of the major factors hampering the healthcare analytics market demand. These professionals lack high technical and statistical knowledge to operate healthcare analytical solutions. Furthermore, stringent data integrity and compliance regulations affects technology advancements adoption rate in healthcare industry. Hence, it is anticipated to remain one of the prime factors hampering the market growth.
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Healthcare Predictive Analytics Market size was valued at USD 9.3 billion in 2019 and is poised to grow from USD 11.58 billion in 2023 to USD 83.21 billion by 2031, growing at a CAGR of 24.5% in the forecast period (2024-2031).

The players in the 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', 'Optum, Inc.', 'McKesson Corporation', 'Allscripts Healthcare Solutions, Inc.', 'Cerner Corporation', 'SAS Institute Inc.', 'MedeAnalytics, Inc.', 'Verisk Analytics, Inc.', 'Inovalon Holdings, Inc.', 'Health Catalyst, Inc.', 'Cotiviti Holdings, Inc.', 'Oracle Corporation', 'CitiusTech Inc.', 'VitreosHealth', 'Predixion Software', 'Linguamatics Ltd.', 'Geneia LLC', 'Information Builders, Inc.', 'SCIO Health Analytics', 'GSI Health.'

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 market in 2021. This region accounted for the maximum share of more than 48.5% of the 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

Report ID: SQMIG35G2230

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