Healthcare Predictive Analytics Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

MARKET OVERVIEW

Predictive analytics is used to analyze current data to predict future using data mining, statistics, modelling, artificial intelligence, and machine learning. It helps enhance various aspects in the healthcare segment. These include patient care, chronic disease management, supply chain efficiencies, and hospital administration. Healthcare predictive analytics industry will witness a strong growth with amount of healthcare data exceeding 187 thousand petabytes in 2015. Owing to the remarkable increase in healthcare database volume, healthcare providers are investing heavily on digital technology to manage crucial information. This healthcare transformation has pushed healthcare industry towards data integration and analytics leading to high demand for healthcare predictive analytics software worldwide.

MARKET SCOPE

The "Global Healthcare predictive analytics Market Analysis to 2031" is a specialized and in-depth study of the food and beverages industry with a special focus on the global market trend analysis. The report aims to provide an overview of the Healthcare predictive analytics market with detailed market segmentation by component, product, delivery mode, end user and geography. The report provides key statistics on the market status of the leading Healthcare predictive analytics market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

•   Based on application, the global Healthcare predictive analytics market is segmented into Clinical Analytics, Financial Analytics, Operations Management Analytics, Population Health Management Analytics.
  
•   Based on delivery model, the market is categorised into Stand-alone, Integrated.
  
•   Based on end user, the market is categorised into Payers, Providers, Others.
  

MARKET DYNAMICS

Drivers

•   The rising pressure to curb healthcare costs and introduction of advanced analytics.
  
•   Increasing demand for personalized medication.
  
•   Increasing adoption of electronic health records to better manage patient outcomes.
  
•   The emergence of big data in healthcare, and the rising importance of real-world evidence.
  

Restraints

•   Lack of robust infrastructure for effective functionality and limited skilled IT professionals in healthcare.
  

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The Healthcare predictive analytics market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the Healthcare predictive analytics market in these regions.

IMPACT OF COVID-19 ON HEALTHCARE PREDICTIVE ANALYTICS MARKET

Throughout the COVID-19 pandemic, predictive analytics tools have played an integral part in healthcare organizations' response to and defense against the virus. The enormous amount of data the pandemic has generated has given researchers and providers the opportunity to analyze trends, monitor patient populations, and begin to rectify longstanding issues in the healthcare industry. For instance, in April 2021, the National Minority Quality Forum (NMQF) has launched its COVID-19 Index, a predictive analytics tool that will help leaders prepare for future surges of coronavirus. Hence, overall impact of COVID 19 will remain positive on Healthcare predictive analytics market.

MARKET PLAYERS

The report covers key developments in the Healthcare predictive analytics market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from Healthcare predictive analytics market are anticipated to lucrative growth opportunities in the future with the rising demand for Healthcare predictive analytics in the global market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the Healthcare predictive analytics market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.

•   Cerner Corporation
  
•   McKesson Corporation
  
•   Verisk Analytics, Inc.
  
•   IBM
  
•   Oracle
  
•   MedeAnalytics, Inc.
  
•   SAS
  
•   Optum, Inc.
  
•   Allscripts
  
•   Health Fidelity, Inc.
  

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

Healthcare Predictive Analytics Report Scope