Artificial Intelligence in Precision Medicine Market Report 2018-2023 Emerging Key Players by Types, Applications and Regions

Global Artificial Intelligence in Precision Medicine Market

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 a 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 technology 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.

According to this study, over the next five years, the Artificial Intelligence in Precision Medicine market will register an xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2019. In particular, this report presents the global revenue market share of key companies in Artificial Intelligence in Precision Medicine business, shared in Chapter 3.

This report presents a comprehensive overview, market shares and growth opportunities of Artificial Intelligence in Precision Medicine market by product type, application, key companies, and key regions.

This study considers the Artificial Intelligence in Precision Medicine value generated from the sales of the following segments:

Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
Hardware
Software
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Oncology
Neurosciences
Immunology
Respiratory
Others

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This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Intel AI
IBM
GE Healthcare
Thermo Fisher Scientific
Qiagen
Berg Health
Medasense Biometrics
…

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global Artificial Intelligence in Precision Medicine market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Artificial Intelligence in Precision Medicine market by identifying its various sub-segments.
Focuses on the key global Artificial Intelligence in Precision Medicine players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in the next few years.
To analyze the Artificial Intelligence in Precision Medicine with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market growth potential, opportunities, drivers, industry-specific challenges and risks.
To project the size of Artificial Intelligence in Precision Medicine submarkets, with respect to key regions along with their respective key countries.
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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