Global Genomics Artificial Intelligence Markets, 2022-2027: Rising Adoption of ML in Personalized/Precision Medicine & Rising Focus on Reducing the Turnaround Time in Drugs Discovery & Diagnostics

DUBLIN, March 7, 2022 — The “Artificial Intelligence in Genomics Market – Global Outlook & Forecast 2022-2027” report has been added to’s offering.

The artificial intelligence in genomics market to grow at a CAGR of 48.44% during the forecast period.

In-depth Analysis and Data-driven Insights on the Impact of COVID-19 Included in this Artificial Intelligence in Genomics Market Report

Artificial intelligence in drug discovery can make its development speedier and less hazardous which in turn is making it easy for clinicians to understand complicated diseases at the genetic level. The emergence of new and favorable applications for disease diagnosis and monitoring is expected to further drive the AI in genomics market growth. Several genomic-focused companies have shown favorable returns.


In 2017, liquid biopsy company GRAIL raised an unprecedented USD 914 million in its Series B round led by Smart Money VC ARCH Venture Partners and including Johnson & Johnson to continue product development and validation for its early-stage cancer detection blood test Another company that is making a lot of noise in the data-driven medicine space is Sophia Genetics from Switzerland. It already works with a half-dozen UK hospitals to pool data and bring AI-driven insights to cancer diagnostics, claiming to already diagnose hundreds of patients a day

The following factors are likely to contribute to the growth of artificial intelligence in genomics market:

Rising Investment by Government & Private Players in Genomics Emergence of Local and Regional Start-ups Rising Adoption of Machine Learning in Personalized/Precision Medicine Rising Focus on Reducing the Turnaround Time in Drugs Discovery & Diagnostics


The on-premises segment accounted for a share of more than 60% of the global artificial intelligence (AI) in the genomics market in 2021. This is primarily attributed to the broad range of advantages associated with the use of on-premises software, such as high security of data, low risk of data breaches, and full command over software upgrades & data storage The closer combination of AI and gene sequencing will help in the development of the genome sequencing market. Companies such as Deep Genomics, use machine learning to support researchers interpret genetic variation


North America: North America accounted for more than half of the share in the global artificial intelligence in the genomics market in 2021. The AI in genomics market is likely to increase in North America owing to the growing adoption of AI in genome sequencing and rising awareness among the regional pharma and biotech companies.
AI deep learning algorithms have also saved many lives in North America by reducing the diagnosis-treatment-recovery cycle for patients Europe: The increased awareness among European patients drives the application of personal genome sequencing testing, especially for reproductive health. Artificial Intelligence (AI) is widely helping in diagnostics and contributing to accessible, affordable, and good quality healthcare, which is consequently improving accuracy


The key players in Artificial Intelligence in Genomics market are Fabric Genomics, International Business Machines and Microsoft Vendors are increasingly focusing on launching innovative devices to penetrate and tap the huge growth potential prevailing in the market

Key Vendors

Fabric Genomics International Business Machines Microsoft NVIDIA

Other Prominent Vendors

AI Therapeutics Ares Genetics BenevolentAI Deep Genomics Diploid DNAnexus Emedgene Empiric Logic Engine Biosciences FDNA Freenome Holdings Genuity Science Lifebit MolecularMatch Predictive Oncology SOPHiA GENETICS Verge Genomics WhiteLab Genomics

Key Topics Covered:

1 Research Methodology

2 Research Objectives

3 Research Process

4 Scope & Coverage
4.1 Market Definition
4.2 Base Year
4.3 Scope of The Study

5 Report Assumptions & Caveats
5.1 Key Caveats
5.2 Currency Conversion
5.3 Market Derivation

6 Market at a Glance

7 Introduction
7.1 AI in Healthcare
7.2 AI in Genomics

8 Market Opportunities & Trends
8.1 Investments by Government & Private Players
8.2 Emergence of Local and Regional Start-Ups
8.3 Collaborations of Pharmaceutical and Software Companies
8.4 Rising Adoption of MI In Personalized/Precision Medicine

9 Market Growth Enablers
9.1 Rising Focus on Reducing Turnaround Time in Drug Discovery & Diagnostics
9.2 Growing Adoption of Ai-Based Solutions
9.3 Increased Biomedical and Genomic Datasets

10 Market Restraints
10.1 Lack of Skilled Workforce & Infrastructure
10.2 Ambiguous Regulatory Guidelines for Genomics Software
10.3 Poor Security & Storage of Large Volumes of Genome Sequencing Data

11 Market Landscape
11.1 Market Overview
11.2 Market Size & Forecast
11.2.1 Geographic Insights
11.2.2 Delivery Mode Insights
11.2.3 Functionality Insights
11.2.4 Application Insights
11.2.5 End-User Insights
11.3 Five Forces Analysis

12 Delivery Mode
12.1 Market Snapshot & Growth Engine
12.2 Market Overview
12.3 On-Premises
12.4 Cloud-Based

13 Functionality
13.1 Market Snapshot & Growth Engine
13.2 Market Overview
13.3 Genome Sequencing
13.4 Gene Editing

14 Application
14.1 Market Snapshot & Growth Engine
14.2 Market Overview
14.3 Translational Precision Medicine
14.4 Clinical & Genomic Diagnosis

15 End-User
15.1 Market Snapshot & Growth Engine
15.2 Market Overview
15.3 Pharma & Biotech Companies
15.4 Public & Consumer Genomic Centers

16 Geography
16.1 Market Snapshot & Growth Engine
16.2 Geographic Overview

This article was shared with Prittle Prattle News as a Press Release by PRNewswire.

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