Predictive Analytics In Healthcare Market Is Expected To Show Robust Growth With An Impressive CAGR In The Forecast Period 2017-2027 Due To Rising Demand For The Personalized Medication

 According to TechSci Research, Global predictive analytics in healthcare market is expected to show robust growth with an impressive CAGR in the forecast period, 2017-2027 on the account of increasing demand for the personalized medication. The increasing pressure to contain the rapidly increasing healthcare cost is also driving the growth of the global predictive analytics in healthcare market in the upcoming five years. Advancing technology and recurring demand for the advanced analytics is also supporting the growth of the global predictive analytics in healthcare market in the next five years. 

Moreover, factors like political instability, economic stress, and lack of proactive government-led initiatives demand for aided financial investment is also substantiating the growth of the global predictive analytics in healthcare market in the future five years. Evolving genome of the human race is also one of the major factors driving the growth of the global predictive analytics in the healthcare market in the forecast period. Understanding effects of the respective pharmaceutical and discoveries of the multiple drugs that is rapidly increasing puts variant effect on the human lives, and thus surging the demand for the predictive analysis and thus is responsible for the market growth on the forecast period until 2027.

Predictive analytics in healthcare sector enables the healthcare providers in analyzing the situations and changing conditions of the patient under observation. The method also aids various investment bodies in deciding and finalizing their future investment plans related to healthcare industry. The demands, uses, and requirement of the equipment, technologies, methods, etc.

The global predictive analytics in healthcare market is segmented on the basis of application, end users, component, deployment mode, competitional landscape, and regional distribution. Based on deployment mode, the market is further divided between, on premises, and cloud based. Cloud based deployment mode of services of predictive analytics in healthcare industry is anticipated to hold the largest shares of the market and dominate the market segment in the upcoming five years on the account of advancing technology and increased penetration of internet in the healthcare industry. Moreover, surge in the demand for more effective and efficient healthcare facilities is also aiding to the growth of the market segment as well as the global predictive analytics in healthcare market in the next five years.

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Holding the major shares of the global predictive analytics in healthcare market are IBM Corporation, Unitedhealth Group, Inc., Oracle Corporation,          Cerner Corporation, Microsoft Corp., Allscripts Healthcare Solutions, Inc., Verisk Analytics, Inc., Medeanalytics, Inc, Information Builders, Inc., SAS Institute, Inc., Health Catalyst, McKesson Corporation, Wipro, Ayasadi, Conifer Health Solutions, among others. Market players are actively involved in the research and technological development in the product developments. The advanced technology has made it possible for the industry to provide excellent services through predictive analytics in healthcare. Further advancement would aid the market value and brand establishment in the future five years. New market players may focus on the research and development to provide options that satisfies the consumer demand as well as benefits the market players in building their brand value. Other competitive strategies include mergers & acquisitions and new product developments.

Objective of the Study:

  1. To analyze the historical growth of the market size of global predictive analytics in healthcare market from 2017 to 2020.
  2. To estimate and forecast the market size of global predictive analytics in healthcare market from 2021 to 2027 and growth rate until 2027. 
  3. To classify and forecast global predictive analytics in healthcare market based on application, end users, component, deployment mode, competitional landscape, and regional distribution.
  4. To identify dominant region or segment in the global predictive analytics in healthcare market.
  5. To identify drivers and challenges for global predictive analytics in healthcare market.
  6. To examine competitive developments such as expansions, new product launches, mergers & acquisitions, etc., in global predictive analytics in healthcare market.
  7. To identify and analyze the profile of leading players operating in global predictive analytics in healthcare market.
  8. To identify key sustainable strategies adopted by market players in global predictive analytics in healthcare market.


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TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of manufacturers, suppliers, and distributors across the country. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the manufactures and service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the manufactures, distribution channels and presence of all major players across the country.

TechSci Research calculated the market size of global predictive analytics in healthcare market using a bottom-up approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.

Key Target Audience:

  1. Manufacturers, service providers, end users, and other stakeholders
  2. Distributors and suppliers of products & services and other stakeholders
  3. Organizations, forums, and alliances related to predictive analytics in healthcare
  4. Market research and consulting firms

The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as manufacturers, service providers, suppliers, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.

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Email: sales@techsciresearch.com

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