PUBLISHER: Orion Market Research | PRODUCT CODE: 1350994
PUBLISHER: Orion Market Research | PRODUCT CODE: 1350994
Title: Global Artificial Intelligence (AI) in Precision Medicine Market Size, Share & Trends Analysis Report by Component (Hardware and Software & Services), by Treatment (Oncology, Neurology, Cardiology, and Respiratory), and by Application (Drug Discovery & Repurposing, Clinical Research Trial, and Personalized Medicine),Forecast Period (2023-2030).
The global AI in precision medicine market is anticipated to grow at a CAGR of 19.2% during the forecast period (2023-2030). Precision medicine uses an individual's unique clinical, molecular and lifestyle information to guide disease diagnosis, treatment and prevention for cancer, inherited diseases and other complex disorders. The market growth is primarily driven by the increasing investments in R&D along with the rising adoption of personalized medications. For instance, the National Institute of Biotechnology Information (NCBI) estimated that the cost of discovering and developing a new drug is around $3 billion, with an approval rate close to 13% when considering all the compounds that reached clinical trials.
Moreover, strategic initiatives such as collaborations among the key market organization also play an important role in driving the industry's growth around the globe. For instance, in February 2023, a multi-year, strategic partnership between Tempus, a company that specializes in AI and precision medicine, and Pfizer has been revealed. The collaboration aims to advance the use of AI and machine learning (ML) in the forthcoming pharmaceutical research.
The global AI in precision medicine market is segmented on the component, treatment, and application. Based on the component, the market is sub-segmented into hardware and software and services. Based on the treatment, the market is sub-segmented into oncology, neurology, cardiology, and respiratory. Further, on the basis of application, the market is sub-segmented into drug discovery & repurposing, clinical research trials, and personalized medicine. Among the application, the sub-segment is anticipated to hold a considerable share of the market owing to the rising artificial intelligence algorithms in precision medicine and will enable a fully individualized approach to drug design, ultimately influencing clinical practice. Drug development is increasingly adapted to the heterogeneity of patients across their molecular profiles.
Among the treatment, the neurology sub-segment is expected to hold a considerable share of the global artificial intelligence in the precision medicine market. The segmental growth is attributed to the increasing importance of neurology and psychiatry approaches that could offer screening options, implement time-sensitive detection/diagnosis, and adapt treatment plans to a patient's unique clinical-genetic-biological characteristics and risk factors. Significant contributions to segmental growth are also made through collaborations between major companies. For instance, in December 2021, TheraPanacea and Biogen Inc. announced a partnership focused on a number of neurotherapeutic areas. The goal is to develop digital health solutions using ML and AI analytics that could improve patient care, accelerate drug discovery, and further our understanding of the pathologies that underlie neurological disorders.
The global artificial intelligence in precision medicine market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, Asia- Pacific is anticipated to hold a prominent share of the market across the globe, owing to the growing number of startups that focus on AI-based healthcare technology and are getting support in the form of funding from both individual investors and venture capitalists. The key market players include Novo Nordisk A/S, GE Healthcare, NVIDIA Corp., Alphabet Inc., IBM Corp. BioXcel Therapeutics Inc., Enlitic Inc., and AstraZeneca.