The SNS Insider report states that the size for artificial intelligence in genomics market was USD 464.50 million in 2022, with a projected growth to USD 13,096 million by 2030, representing a compound annual growth rate (CAGR) of 51.8% during the forecast period from 2023 to 2030.

As per SNS Insider’s research, government investments and initiatives in genomics research further boost the artificial intelligence in genomics market’s growth, ensuring that AI continues to play a crucial role in advancing healthcare and our understanding of genetics.

?????? ?????? ?????

In recent years, the convergence of artificial intelligence (AI) and genomics has ushered in a new era of healthcare, transforming our understanding of genetics and disease. This innovative field harnesses the power of AI to analyze and interpret vast amounts of genomic data, facilitating groundbreaking discoveries and personalized medicine. Genomics, the study of an individual’s complete set of DNA, holds the key to unraveling the mysteries of various diseases and potential treatment strategies. AI technologies, including machine learning and deep learning algorithms, assist in deciphering this genetic code, offering unprecedented insights. AI in genomics aids in gene expression analysis, predicting disease risks, identifying genetic mutations, and optimizing treatment plans, thereby revolutionizing the healthcare industry.

????? ??????? ???????????? ?? ??? ?????? ?? ?????????? ???????????? ?? ???????? ??????:

• Surging demand for precision medicine: AI empowers healthcare providers to analyze individual genetic data and tailor treatments accordingly, leading to improved patient outcomes and reduced healthcare costs.
• Rapid advancements in AI technologies: Machine learning, deep learning, and other AI algorithms are constantly evolving, enabling faster and more accurate analysis of massive genomic datasets.
• Integration in diverse functionalities: AI is transforming various aspects of genomics, from genome sequencing and gene editing to clinical workflow optimization and predictive genetic testing.
• Booming investment and collaborative efforts: Pharmaceutical and biotech companies, research institutions, and government organizations are pouring significant resources into AI-driven genomics research, fostering innovation and market expansion.