Subscribe Us

header ads

Recents

header ads

Artificial Intelligence in Genomics Market Size, Growth, Demands Outlook and Forecasts to 2030

Precedence Research - February 02, 2023

According to the research report, the global artificial intelligence in genomics market size is expected to touch USD 5,972 million by 2030, from USD 397.64 Billion in 2022, growing with a significant CAGR of 40.31% from 2022 to 2030. 

Artificial Intelligence in Genomics Market Size 2021 to 2030

The artificial intelligence in genomics report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in genomics in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence in genomics market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in genomics during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1721

 Report Scope of the Artificial Intelligence in Genomics Market

Report CoverageDetails
Market Size by 2030USD 5,972 Million
Growth Rate from 2022 to 2030

CAGR of 40.31%

Largest MarketNorth America 
Fastest Growing Market Asia Pacific 
Base Year2021
Forecast Period2022 to 2030
Segments CoveredOffering, Application, End User, Technology, Functionality, Geography

This study covers a detailed segmentation of the global artificial intelligence in genomics market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in genomics market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • 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.

Market Segmentation

 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

 By Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Malaysia
    • Philippines
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC
    • North Africa
    • South Africa
    • Rest of the Middle East & Africa

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence in genomics report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence in genomics market.

TABLE OF CONTENT

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

Contact Us:

Precedence Research

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

Call: +1 774 402 6168

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com

 Blog: https://www.pharma-geek.com

 

Post a Comment

0 Comments