The global Healthcare Predictive Analytics market was valued at USD 2,904.2 million in 2018 and is expected to reach USD 22,390.3 million by the year 2026, at a CAGR of 28.9 %. The study covers Healthcare predictive analytics – analytical technique that analyses and predicts outcomes using statistical methods and technology, operating on massive amounts of relevant data for individual patients. Healthcare Predictive Analytics is widely being used in the healthcare sector all over the globe. The recent emergence of Healthcare Predictive Analytics as a time saving and cost minimizing tool is a major disruptive finding in the healthcare sector. In line with this, numerous firms and hospitals are adopting Healthcare Predictive Analytics, for time saving and cost cutting purpose. For instance, West Tennessee Healthcare saved more than 8,000 hours annually using Cerner’s Continuous Advancement Services from an optimization project which reduced the number of discrete task assays that nurses completed on a timely basis.
Knowledge discovery, data mining, and machine learning techniques have recently attracted considerable attention, due to the growing amount of data available, and to the growing necessity to base the reasoning on evidence taken from physical measurements. Data-driven approaches to knowledge extraction have been developed as a consequence, complementing the more traditional human-centered approaches, by enabling systems to create new knowledge, update existing knowledge, and improve their performance without intervention and reprogramming.
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The report initially offers market introduction, market overview, product scope, market opportunities, growth prospects, risks, limitations, and key drivers. The report also covers a comprehensive analysis of the competitive landscape with extensive profiling of the key competitors. It covers recent technological advancements, product developments, product launches, mergers and acquisitions, collaborations, joint ventures, and partnerships.
Key Companies in the market include:
Cerner Corporation, McKesson Corporation, Verisk Analytics, Inc., IBM, Oracle, MedeAnalytics, Inc., SAS, Optum, Inc., Allscripts, and Inovalon, among others.
Regional segmentation comprises of a current and forecast estimation of the market in the key geographical regions such as North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. The report also covers the scope of individual applications and types in each region. The report also covers details about production and consumption patterns, technological developments, revenue growth, market size, market share, key trends and demands influencing market growth in the region, and robust presence of key players in the region.
Market segment analysis:
By Product Type (Revenue, USD Million, 2016 – 2026)
- Patient scheduling
- Care provider scheduling
- Bill Scheduling
- Automated reminders
- Patient informing tools
- Mobile applications
By Deployment Type (Revenue, USD Million, 2016 – 2026)
By Applications Type (Revenue, USD Million, 2016 – 2026)
Regional analysis further covers a country-wise analysis to offer insights into key trends and demands in each major country that might affect the growth of the market in the region.
- North America
- Rest of Europe
- Asia Pacific
- South Korea
- Rest of APAC
- Latin America
- Rest of LATAM
- Middle East & Africa
- Saudi Arabia
- South Africa
- Rest of MEA
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Key Features of the Global Healthcare Predictive Analytics Market Report:
- Comprehensive analysis of the key players operating in the market along with their SWOT analysis, their business profiles, business overview, market share, global position, and market value
- Identification and analysis of significant trends and factors driving revenue growth of the market
- Analysis of the competitive landscape along with strategic mergers, expansions, agreements, partnerships, joint ventures, acquisitions, and product launches
- Assessment of each market segment along with their growth trends and market revenue contribution
- Study of the key regions to pinpoint growth potential and study opportunities, threats, limitations, and risks
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