Healthcare Analytics Market is Booming Worldwide with Allscripts Healthcare, Cerner, CitiusTech
Research Reports
Aug 10, 2021
Latest business intelligence report released on Global Healthcare Analytics Market, covers different industry elements and growth inclinations that helps in predicting market forecast. The report allows complete assessment of current and future scenario scaling top to bottom investigation about the market size, % share of key and emerging segment, major development, and technological advancements. Also, the statistical survey elaborates detailed commentary on changing market dynamics that includes market growth drivers, roadblocks and challenges, future opportunities, and influencing trends to better understand Healthcare Analytics market outlook.
List of Key Players Profiled in the study includes market overview, business strategies, financials, Development activities, Market Share and SWOT analysis:
Allscripts Healthcare, LLC (United States), Cerner Corporation (United States), CitiusTech Inc. (United States), COTIVITI, INC. (United States), Health Catalyst (United States), IBM (United States), IMAT Solutions (United States), Inovalon (United States), McKesson Medical-Surgical Inc. (United States), MEDEANALYTICS, INC. (United States), Optum, Inc (United States), Oracle (United States), SAS Institute Inc. (United States), Vitreoshealth (United States), Wipro Limited (India)
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Brief Overview on Healthcare Analytics:
The global healthcare analytics market is expected to grow at a healthy pace during the forecast period, according to the AMA study. The rising number of venture capital investments, increasing pressure to curb healthcare spending & improve patient outcomes are expected to be some of the major factors aiding into the growth for the market. However, the market is expected to witness a slight decline in the growth during the next few year but it is again expected to rise with a healthy pace after the COVID-19 pandemic is over.
Key Market Trends:
Rising Adoption of Big Data in Healthcare Sector
Opportunities:
Opportunities for Cloud-based Analytics
Increasing Focus on Value-based Medicines
Adoption of Augmented Reality in Healthcare Analytics
Market Growth Drivers:
Rising Number of Venture Capital Investments
Growing Pressure to Curb Healthcare Spending and Improve Patient Outcomes
Rising Focus on Real-World Evidence
Segmentation of the Global Healthcare Analytics Market:
by Type (Hardware, Software, Services), Application (Financial Analytics, Clinical Analytics, Operational & Administrative Analysis, Population Health Analytics)
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Geographically, the following regions together with the listed national/local markets are fully investigated:
• APAC (Japan, China, South Korea, Australia, India, and Rest of APAC; Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
• Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North America (U.S., Canada, and Mexico)
• South America (Brazil, Chile, Argentina, Rest of South America)
• MEA (Saudi Arabia, UAE, South Africa)
Furthermore, the years considered for the study are as follows:
Historical data – 2016-2020
The base year for estimation – 2020
Recent Estimated Year – 2021
Forecast period** – 2021 to 2026 [** unless otherwise stated]
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Summarized Extracts from TOC of Global Healthcare Analytics Market Study
Chapter 1: Exclusive Summary of the Healthcare Analytics market
Chapter 2: Objective of Study and Research Scope the Healthcare Analytics market
Chapter 3: Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis
Chapter 4: Market Segmentation by Type, End User and Region/Country 2016-2026
Chapter 5: Decision Framework
Chapter 6: Market Dynamics- Drivers, Trends and Challenges
Chapter 7: Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 8: Appendix, Methodology and Data Source
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