ARTIFICIAL INTELLIGENCE IN DIGITAL GENOME MARKET ANALYSIS

Artificial Intelligence in Digital Genome Market, by Offering (Software and Services), by Technology (Machine Learning and Computer Vision), by Functionality (Genome Sequencing and Gene Editing), by Application (Diagnostics, Drug Discovery & Development, Precision Medicine, Agriculture & Animal Research, and Other Applications), by End User (Pharmaceutical & Biotech Companies and Research Bodies), and by Region (North America, Latin America, Europe, Asia-Pacific, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2021 - 2028

Published In : Dec 2021
Code : CMI4824
Pages :156
Formats :
Excel and PDF
Industry : Healthcare IT

Market Challenges And Opportunities

Global Artificial Intelligence in Digital Genome Market: Restraint

The major factors that hinder growth of the global artificial intelligence in digital genome market include lack of a skilled AI workforce and ambiguous regulatory guidelines for medical software. Artificial Intelligence (AI) is a complex system companies require a workforce with skill sets to develop, manage, and implement AI systems. For instance, personnel dealing with AI systems should be aware of cognitive computing, machine learning and machine intelligence, deep learning, and image recognition. Integrating AI solutions into existing systems is also a challenging task requiring extensive data processing to replicate human brain behavior. Even a minor error can result in system failure or adversely affect the desired result.