Global Artificial Intelligence in Precision Medicine Market Growth (Status and Outlook) 2025-2031

According to this study, the global Artificial Intelligence in Precision Medicine market size will reach US$ million by 2031.

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.

LPI (LP Information)' newest research report, the “Artificial Intelligence in Precision Medicine Industry Forecast” looks at past sales and reviews total world Artificial Intelligence in Precision Medicine sales in 2024, providing a comprehensive analysis by region and market sector of projected Artificial Intelligence in Precision Medicine sales for 2025 through 2031. With Artificial Intelligence in Precision Medicine sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Artificial Intelligence in Precision Medicine industry.

This Insight Report provides a comprehensive analysis of the global Artificial Intelligence in Precision Medicine landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on Artificial Intelligence in Precision Medicine portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Artificial Intelligence in Precision Medicine market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Artificial Intelligence in Precision Medicine and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Artificial Intelligence in Precision Medicine.

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

Segmentation by Type:
Hardware
Software
Services

Segmentation by Application:
Oncology
Neurosciences
Immunology
Respiratory
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Intel AI
IBM
GE Healthcare
Thermo Fisher Scientific
Qiagen
Berg Health
Medasense Biometrics

Please note: The report will take approximately 2 business days to prepare and deliver. Show more