The universal Artificial Intelligence in Precision Medicine market was valued at xxx million USD with a CAGR xx% from 2015-2019. Subsequently, it will touch xxx million USD in 2020 with a CAGR xx % from 2020 to 2025.
According to the National Institutes of Health (NIH), precision medicine is \"an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person.\" This approach will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which groups of people. It is in contrast to a \"one-size-fits-all\" approach, in which disease treatment and prevention strategies are developed for the average person, with less consideration for the differences between individuals.
Artificial intelligence is providing paradigm shift toward precision medicine. Machine learning algorithms are used for genomic sequence and to analyze and draw inferences from the vast amounts of data patients and healthcare institutions recorded in every moment. AI technique is used in precision cardiovascular medicine to understand genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission rates and mortality. In addition, AI helps companies accelerate drug development to reduce costs.
In the global Artificial Intelligence in Precision Medicine market, This report focuses particularly in North America, South America, Europe and Asia-Pacific, and Middle East and Africa. This report classifies the market on the basis of application, type, regions, and manufactures.
In market segmentation by manufacturers, the report covers the following companies-
Intel AI
IBM
GE Healthcare
Thermo Fisher Scientific
Qiagen
Berg Health
Medasense Biometrics
In market segmentation by geographical regions, the report has analysed the following regions-
North America (USA, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Columbia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
In market segmentation by types :
Hardware
Software
In market segmentation by applications :
Oncology
Neurosciences
Immunology
Respiratory
Others
The research provides answers to the following key questions:
• What is the estimated growth rate and market share and size of the Artificial Intelligence in Precision Medicine market for the forecast period 2020 - 2025?
• What are the driving forces in the Artificial Intelligence in Precision Medicine market for the forecast period 2020 - 2025?
• Who are the prominent market players and how have they gained a competitive edge over other competitors?
• What are the market trends influencing the progress of the Artificial Intelligence in Precision Medicine industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the market hold for the prominent market players?