Global Artificial Intelligence in Genomics Market By Offering (Software, Services), By Technology (SupermarketsMachine Learning, Computer Vision), By Functionality (Genome Sequencing, Gene Editing), By Application (Diagnostics), By End-User(Pharma, Research), By Region and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2021–2031

Introduction

Genomics is an interdisciplinary biology field that focuses on the study of the genome structure, function, mapping, and editing. A genome is a complete collection of an organism’s DNA; all genes are included. Genomics is split into several subsets, i.e., genomics of control, genomics of structure, and the genomics of function.

Nearly every industry has been influenced by artificial intelligence and machine learning, and a growing number of researchers are now focusing their attention towards various advancements in artificial intelligence. Genomics is one of these fields. In the evolution of this field, machine learning plays an increasingly important role.

Researchers can examine the increasing amount of genomic imagery data by connecting deep learning with computer vision techniques. Machine learning models are able to solve tasks through computer vision, such as in semantic segmentation, recognition of images, and the withdrawing of images. It is possible to examine a vast volume of genomics-related data that can be found in publicly accessible research papers by integrating machine learning with natural processing techniques.

Researchers may solve issues such as relationship extraction, the retrieval of information, or the identification of named individuals in this manner. Due to the enormous amount of research carried out in this area presently, certain systems are ideally appropriate for working with natural language processing solutions.

Detailed Segmentation

The Global Artificial Intelligence in Geonomics Market segmentation is Based on Offering, Technology, Functionality, Application, End-User, and Regions/Countries

By Offering

• Software
• Services

By Technology

• Machine Learning
• Computer Vision

By Functionality

• Genome Sequencing
• Gene Editing

By Application

• Diagnostics

By End-User

• Pharma
• Research

By Geography

• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Market Dynamics

The increasing prevalence of various diseases and disorders among a massive portion of the global populace has led to several discoveries and developments in the drug industry. The need to control discovery costs & time taken during new drug development phases and the increase in private-public sector investments towards AI in genomics have boosted market growth opportunities for the global AI in genomics market. In addition, the adoption of AI in precision medicine manufacturing is another major factor that is expected to further augment market growth for this industry.

With a steady increase in the number of obesity cases across the globe, the need to conduct an in-depth study about healthcare issues such as this has led to the development of this report. Increasing binge eating levels and the consumption of junk foods, certain neglect towards regular exercise, a spike in the levels of stress, etc., are key drivers for this market.

The lack of a skilled AI workforce and ambiguous regulatory guidelines for medical software could potentially restrain market growth for the AI in genomics industry over the forecast period.

Key players:

• IBM
• Microsoft
• NVIDIA Corporation
• Deep Genomics
• BenevolentAI Ltd.
• Fabric Genomics Inc.
• Verge Genomics
• Freenome Holdings Inc.
• MolecularMatch Inc.
• Cambridge Cancer Genomics
• SOPHiA GENETICS
• Data4Cure Inc.
• PrecisionLife Ltd.
• Genoox Ltd.
• Lifebit
• Diploid
• FDNA Inc.
• DNAnexus Inc.
• Empiric Logic
• Engine Biosciences Pte. Ltd.

Recent Developments

• BC Cancer and Microsoft Canada are collaborating on “Single Cell Genomics” which will enable medical professionals to view the genomes of single cancerous cells. This level of detail will enable targeted and specific combinations of treatment for individuals, and allow oncologists to predict how individual cells within a patient’s tumor will respond to chemotherapy.
• GE Healthcare and SOPHiA GENETICS pledge to collaborate to develop genomic-based artificial intelligence technology to further cancer treatment and care.
• Verge Genomics, a biotech company that has created an industry-leading all-in-human, artificial-intelligence-powered drug discovery and development platform focused on therapies for serious genetic diseases, announced a three-year collaboration with Eli Lilly and Company to research & develop novel therapies for the treatment of Amyotrophic Lateral Sclerosis (ALS), a devastating motor neuron disease.
• Fabric Genomics Launches GEM Algorithm to Accelerate Genetic Disease Diagnosis, and to provide comprehensive clinical decision support.

For the Artificial Intelligence in Genomics Market research study, the following years have been considered to estimate the market size: