Predictive Analytics In Healthcare Market To Grow With Technological Advancement During the Forecast Period – TechSci Research
Devendra kumar kushwaha
12+ Years Exp in Digital Marketing & Brand Building-SEO, SMO & SEM, Google Ad-words & Analytic Certified
Demand for analyzed data for advancing healthcare is driving the growth in Global Predictive Analytics In Healthcare Market in the forecast period, 2022-2026.
According to TechSci Research report, “Predictive analytics in healthcare Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 2016-2026 Segmented By Application (Clinical Decision & Diagnosis Support (CDS), Risk Prediction & Scoring, Demand Forecast, Drug Discovery, Disease & Cancer Detection, Fraud Detection, Others), By End Users (Healthcare Providers, Healthcare Payers, Others), By Component (Hardware, Software, Services), By Deployment Mode (On premises, Cloud), By Region”, the global predictive analytics in healthcare market would potentially project an impressive growth in the forecast period, 2022-2026, with an impressive CAGR on the account of surging demand for the analyzed data for the effective and efficient healthcare services. Increasing demand for the effective patient care, increasing chronic diseases and its remedies is further driving the growth of the global predictive analytics in healthcare market in the upcoming five years. Emergence of personalized and evidence-based medicine, growing need of increasing efficiency in the healthcare sector, and increasing demand to curtail healthcare costs by reducing unnecessary costs is further supporting the growth of the global predictive analytics in healthcare market in the next five years.
Predictive analytics in healthcare played vital role during COVID-19 pandemic in response to defense against the widespread virus. The enormous data raised due to the increasing number of patients helped the researchers and pharmaceutical product providers in analyzing the effect of virus and the vaccines thus generated. 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.
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The global predictive analytics in healthcare market segmentation is based on application, end users, component, deployment mode, competitional landscape, and regional distribution. Based on application, the market is further bifurcated into clinical decision & diagnosis support (CDS), risk prediction & scoring, drug discovery, disease & cancer detection, fraud detection, and others. Clinical decision & diagnosis support (CDS) is utilized by the healthcare providers to estimate the risk percentage to an individual’s health. These data also help the patients and caregivers with post operation issues like surgical site infection and poor physical health, etc. Moreover, with clinical data analytics, patients can explain their health conditions to different doctors repeatedly. This can be achieved through an acute analysis of their clinical data, further providing preventive care.
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, are some of the market players holding the major shares of the global predictive analytics in healthcare market. 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.
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“North America is anticipated to hold the largest revenue shares in the future five years. The healthcare industry is rapidly evolving. The advanced methods, along with the streamlined healthcare systems, updated regulatory policies and availability of trained workforce are some of the major markets driving factors currently aiding the growth of the global predictive analytics in healthcare market. Asia Pacific region is expected to register fastest growing CAGR value and exhibit impressive growth in the next five years on the account of reformed policies and economic developments. The region also supports booming IT industry and the prevailing IT outsourcing services are expected to further substantiate the growth of the global predictive analytics in healthcare market,” said Mr. Karan Chechi, Research Director with TechSci Research, a research based Global management consulting firm. “Global Predictive analytics in healthcare Market - Global Industry Size, Share, Trends, Opportunity and Forecast, 2016-2026
Segmented By Application (Clinical Decision & Diagnosis Support (CDS), Risk Prediction & Scoring, Demand Forecast, Drug Discovery, Disease & Cancer Detection, Fraud Detection, Others), By End Users (Healthcare Providers, Healthcare Payers, Others), By Component (Hardware, Software, Services), By Deployment Mode (On premises, Cloud), By Region”, has evaluated the future growth potential of global predictive analytics in healthcare and provides statistics & information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyzes the emerging trends along with essential drivers, challenges, and opportunities in global predictive analytics in healthcare market.
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