Press release
Healthcare Artificial Intelligence market with Latest Industry Trends, Size, Share, and Forecast 2017 – 2022
Market Study Report Add New Global Healthcare Artificial Intelligence Market by Manufacturers, Countries, Type and Application, Forecast to 2022 to its research database. The report presents a deep study of the market growth factors and drivers. The report spread across 115 pages with table and figures in it.This report studies the Healthcare Artificial Intelligence market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Healthcare Artificial Intelligence market by product type and applications/end industries.
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AI has revolutionized the healthcare industry by designing treatment plans, medication management, assisting in repetitive tasks, and drug discovery. Rising adoption of precision medicine has made enabled simplicity of management and cost reduction. Increasing application in genomics research coupled with incremental innovation in robotic personal digital assistants should boost industry growth. Increasing big data volume and the ever-increasing need to effectively store and manage the healthcare data will drive healthcare artificial intelligence market growth. Advent of innovative technologies for effective diagnosis & treatment should further accelerate business penetration.
Scope of the Report:
This report focuses on the Healthcare Artificial Intelligence in Global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.
Market Segment by Manufacturers, this report covers:
AiCure, Cyrcadia Health, Google, IBM, Microsoft, Atomwise, Lifegraph, Modernizing Medicine, Sensely, Zebra Medical Vision, Sophia Genetics, Welltok, APIXIO, Insilico Medicine, Pathway Genomics, Enlitic.
Market Segment by Regions, regional analysis covers:
North America (USA, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America, Middle East and Africa.
Market Segment by Applications, can be divided into:
Drug Discovery, Medical Imaging, Diagnosis, Therapy, Planning Hospital Workflow
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There are 15 Chapters to deeply display the global Healthcare Artificial Intelligence market.
Chapter 1, to describe Healthcare Artificial Intelligence Introduction, product scope, market overview, market opportunities, market risk, market driving force;
Chapter 2, to analyze the top manufacturers of Healthcare Artificial Intelligence, with sales, revenue, and price of Healthcare Artificial Intelligence, in 2016 and 2017;
Chapter 3, to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2017;
Chapter 4, to show the global market by regions, with sales, revenue and market share of Healthcare Artificial Intelligence, for each region, from 2012 to 2017;
Chapter 5, 6, 7, 8 and 9, to analyze the key regions, with sales, revenue and market share by key countries in these regions;
Chapter 10 and 11, to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2017;
Chapter 12, Healthcare Artificial Intelligence market forecast, by regions, type and application, with sales and revenue, from 2017 to 2022;
Chapter 13, 14 and 15, to describe Healthcare Artificial Intelligence sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.
Related Report:
North America Artificial intelligence (AI) Market by Manufacturers, Countries, Type and Application, Forecast to 2022
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
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