Artificial Intelligence in Genomics Market Size will reach USD 5,972 million by 2030

According to Precedence Research, during the forecast period of 2022 to 2030, the global artificial intelligence in genomics market is estimated to develop at a compound annual growth rate (CAGR) of 40.31%. The global artificial intelligence in genomics market was valued at USD 283.41 million in 2021, and it is predicted to exceed USD 5,972 million by 2030. The study investigates several elements and their consequences on the growth of the artificial intelligence in genomics market.

Download Free Sample Copy with TOC@ https://www.precedenceresearch.com/sample/1721

This report focuses on artificial intelligence in genomics market volume and value at the global level, regional level and company level. From a global perspective, this report represents overall artificial intelligence in genomics market size by analyzing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, Middle East & Africa, Latin America, etc.

Report Scope of the Artificial Intelligence in Genomics Market

Report Coverage Details
Market Size by 2030 USD 5,972 Million
Growth Rate from 2022 to 2030 CAGR of 40.31%
Largest Market North America
Fastest Growing Market Asia Pacific
Base Year 2021
Forecast Period 2022 to 2030
Segments Covered Offering, Application, End User, Technology, Functionality, Geography

The research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2030. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

In-Depth Analysis on Competitive Landscape

The report sheds light on leading manufacturers of artificial intelligence in genomics, along with their detailed profiles. Essential and up-to-date data related to market performers who are principally engaged in the production of artificial intelligence in genomics has been brought with the help of a detailed dashboard view. Market share analysis and comparison of prominent players provided in the report permits report readers to take preemptive steps in advancing their businesses.

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence in genomics market.

Some of the prominent players in the artificial intelligence in genomics market include:

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

Ask Here For More Customization Study@ https://www.precedenceresearch.com/customization/1721

Segments Covered in the Report

By Offering

  • Software
  • Services

By Application

  • Drug Discovery & Development
  • Precision Medicine
  • Diagnostics
  • Animal Research and Agriculture
  • Others

By End User

  • Pharmaceutical & Biotech Companies
  • Government Organizations
  • Research Organizations
  • Others

By Technology

  • Machine Learning
    • Deep Learning
    • Supervised Learning
    • Reinforcement Learning
    • Unsupervised Learning
    • Other
  • Other Technologies

By Functionality

  • Genome Sequencing
  • Gene Editing
  • Clinical Workflows
  • Predictive Genetic Testing & Preventive Medicine

Regional Segmentation

  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Middle East & Africa [GCC, North Africa, South Africa]

Some of the important ones are:

  • What can be the best investment choices for venturing into new product and service lines?
  • What value propositions should businesses aim at while making new research and development funding?
  • Which regulations will be most helpful for stakeholders to boost their supply chain network?
  • Which regions might see the demand maturing in certain segments in near future?
  • What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?
  • Which are the key perspectives that the C-suite are leveraging to move businesses to new growth trajectory?
  • Which government regulations might challenge the status of key regional markets?
  • How will the emerging political and economic scenario affect opportunities in key growth areas?
  • What are some of the value-grab opportunities in various segments?
  • What will be the barrier to entry for new players in the market?

Table of Contents

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence in Genomics Market 

5.1. COVID-19 Landscape: Artificial Intelligence in Genomics Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence in Genomics Market, By Offering

8.1. Artificial Intelligence in Genomics Market, by Offering, 2022-2030

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence in Genomics Market, By Application

9.1. Artificial Intelligence in Genomics Market, by Application, 2022-2030

9.1.1. Drug Discovery & Development

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Precision Medicine

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Diagnostics

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Animal Research and Agriculture

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Others

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence in Genomics Market, By End User 

10.1. Artificial Intelligence in Genomics Market, by End User, 2022-2030

10.1.1. Pharmaceutical & Biotech Companies

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Government Organizations

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Research Organizations

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.6. Others

10.1.6.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence in Genomics Market, By Technology

11.1. Artificial Intelligence in Genomics Market, by Technology, 2022-2030

11.1.1. Machine Learning

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Other Technologies

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Artificial Intelligence in Genomics Market, By Functionality

12.1. Artificial Intelligence in Genomics Market, by Functionality, 2022-2030

12.1.1. Genome Sequencing

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Gene Editing

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Clinical Workflows

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Predictive Genetic Testing & Preventive Medicine

12.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Artificial Intelligence in Genomics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.3. Market Revenue and Forecast, by End User (2017-2030)

13.1.4. Market Revenue and Forecast, by Technology (2017-2030)

13.1.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.6.3. Market Revenue and Forecast, by End User (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Technology (2017-2030)

13.1.7. Market Revenue and Forecast, by Functionality (2017-2030)

13.1.8. Rest of North America

13.1.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.1.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.1.8.3. Market Revenue and Forecast, by End User (2017-2030)

13.1.8.4. Market Revenue and Forecast, by Technology (2017-2030)

13.1.8.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.3. Market Revenue and Forecast, by End User (2017-2030)

13.2.4. Market Revenue and Forecast, by Technology (2017-2030)

13.2.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.6.3. Market Revenue and Forecast, by End User (2017-2030)

13.2.7. Market Revenue and Forecast, by Technology (2017-2030)

13.2.8. Market Revenue and Forecast, by Functionality (2017-2030)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.9.3. Market Revenue and Forecast, by End User (2017-2030)

13.2.10. Market Revenue and Forecast, by Technology (2017-2030)

13.2.11. Market Revenue and Forecast, by Functionality (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.12.3. Market Revenue and Forecast, by End User (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Technology (2017-2030)

13.2.13. Market Revenue and Forecast, by Functionality (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Offering (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Application (2017-2030)

13.2.14.3. Market Revenue and Forecast, by End User (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Technology (2017-2030)

13.2.15. Market Revenue and Forecast, by Functionality (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.3. Market Revenue and Forecast, by End User (2017-2030)

13.3.4. Market Revenue and Forecast, by Technology (2017-2030)

13.3.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.6.3. Market Revenue and Forecast, by End User (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Technology (2017-2030)

13.3.7. Market Revenue and Forecast, by Functionality (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.8.3. Market Revenue and Forecast, by End User (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Technology (2017-2030)

13.3.9. Market Revenue and Forecast, by Functionality (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.10.3. Market Revenue and Forecast, by End User (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Technology (2017-2030)

13.3.10.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Application (2017-2030)

13.3.11.3. Market Revenue and Forecast, by End User (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Technology (2017-2030)

13.3.11.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.3. Market Revenue and Forecast, by End User (2017-2030)

13.4.4. Market Revenue and Forecast, by Technology (2017-2030)

13.4.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.6.3. Market Revenue and Forecast, by End User (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Technology (2017-2030)

13.4.7. Market Revenue and Forecast, by Functionality (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.8.3. Market Revenue and Forecast, by End User (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Technology (2017-2030)

13.4.9. Market Revenue and Forecast, by Functionality (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.10.3. Market Revenue and Forecast, by End User (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Technology (2017-2030)

13.4.10.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Offering (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Application (2017-2030)

13.4.11.3. Market Revenue and Forecast, by End User (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Technology (2017-2030)

13.4.11.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.3. Market Revenue and Forecast, by End User (2017-2030)

13.5.4. Market Revenue and Forecast, by Technology (2017-2030)

13.5.5. Market Revenue and Forecast, by Functionality (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.6.3. Market Revenue and Forecast, by End User (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Technology (2017-2030)

13.5.7. Market Revenue and Forecast, by Functionality (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Offering (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Application (2017-2030)

13.5.8.3. Market Revenue and Forecast, by End User (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Technology (2017-2030)

13.5.8.5. Market Revenue and Forecast, by Functionality (2017-2030)

Chapter 14. Company Profiles

14.1. IBM

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. NVIDIA Corporation

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Benevolent AI

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Verge Genomics

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. MolecularMatch, Inc.

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. SOPHiA GENETICS

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. PrecisionLife Ltd.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Lifebit

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. FDNA, Inc.

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Empiric Logic

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

Buy This Premium Research Report Click Here@ https://www.precedenceresearch.com/checkout/1721

About Us

Precedence Research is a Canada/India based company and one of the leading providers of strategic market insights. We offer executive-level blueprints of markets and solutions beyond flagship surveys. Our repository covers consultation, syndicated market studies, and customized research reports. Through our services we aim at connecting an organization’s goal with lucrative prospects globally.

From gauging investment feasibility to uncovering hidden growth opportunities, our market studies cover in-depth analysis, which also is interspersed with relevant statistics. Recommendation are often enclosed within our reports with the sole intent of enabling organizations achieve mission-critical success.

Contact Us:                  

Precedence Research

Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada

Call: +1 9197 992 333

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com

Leave a Reply

Your email address will not be published. Required fields are marked *