AI In Genomics Market (By Component: Hardware, Software; By Technology: Machine Learning; By Functionality; By Application; By End-use) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global AI in genomics market was valued at USD 497.92 million in 2022 and it is predicted to surpass around USD 21,972.42 million by 2032 with a CAGR of 46.04% from 2023 to 2032.

AI In Genomics Market Size 2023 to 2032

Key Pointers

  • In 2022, the software segment held the largest market share of around 40.07% and is also expected to witness the fastest CAGR of 46.66% during the forecast period.
  • In 2022, the machine learning segment accounted for the largest market share of around 63.06% and is also expected to witness the fastest CAGR over the forecast period.
  • The computer vision segment is likely to register a significant CAGR of over 45.12% during the forecast period.
  • The genome sequencing segment dominated the market with a revenue share of 44.23% in 2022 and is anticipated to retain its dominance over the forecast period.
  • In 2022, the drug discovery & development segment dominated the market with a revenue share of over 30.05%.
  • The precision medicine segment is anticipated to witness the fastest growth of over 46.06% during the forecast period from 2023 to 2032.
  • Based on end-use, the pharmaceutical and biotech companies segment dominated the market with a revenue share of around 35.12% in 2022.
  • The healthcare providers segments is likely to witness the fastest CAGR of 46.64% over the forecast period from 2023 to 2032.
  • In 2022, North America held a majority of the global AI in genomics market share of around 29.04% in terms of revenue.
  • Asia Pacific is expected to witness the fastest CAGR of 47.12% over the forecast period.

Report Scope of the AI In Genomics Market

Report Coverage Details
Market Size in 2022 USD 497.92 million
Revenue Forecast by 2032 USD 21,972.42 million
Growth rate from 2023 to 2032 CAGR of 46.04%
Base Year 2022
Forecast Period 2023 to 2032
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered IBM; Microsoft Corporation; NVIDIA Corporation; DEEP GENOMICS; Data4Cure, Inc.; Freenome Holdings, Inc.; Thermo Fisher Scientific; Illumina, Inc.; SOPHiA GENETICS; BenevolentAI; Fabric Genomics

 

The rising demand for tailored medications along with the increasing R&D expenditure is driving the growth of AI in genomics market. The key factors driving the demand for AI in the genomics industry are the rapid advancements in AI technology and its cost-effectiveness. With the rapid advancements in AI technology, new AI-powered software solutions are being developed that are specifically designed for the genomics industry. These solutions are more sophisticated and efficient, enabling researchers to analyze and manage genomic data more effectively than ever before. AI algorithms and software solutions can help automate many of the manual tasks involved in genomic research, reducing the need for human labor and making the process more cost-effective.

The COVID-19 pandemic had a positive impact on the market as it accelerated the development of computing solutions that sped up the understanding of the scope, scale, and severity of the pandemic. Key market players in the healthcare sector collaborated to create new computing solutions to develop vaccines and drugs at a significant speed. For instance, NVIDIA created new tools for genomic sequencing and artificial intelligence to aid researchers in tracking and treating COVID-19 cases. Researchers and medical professionals were able to better grasp the COVID-19 genetic variants with the use of powerful artificial intelligence (AI) tools and genome sequence analysis.

Genomics is a rapidly advancing field that is increasingly reliant on artificial intelligence. AI can identify patterns and connections in genetic data that would be difficult for humans to detect, leading to improvements in the development of new therapies for diseases, more accurate diagnoses, and personalized patient care. In addition, AI is being used to create digital models of the human body, which can be used to assess the safety and effectiveness of potential new drugs.

Regional Insights

In 2022, North America held a majority of the global AI in genomics market share of around 29.04% in terms of revenue owing to the presence of many market players including Danone; Abbott; Nestlé; Targeted Medical Pharma, Inc.; and Mead Johnson & Company, LLC; among others. North America is home to some of the largest and most well-funded research institutions and biotechnology companies in the world, and these organizations are investing heavily in the development of AI-powered solutions for genomics. This is driving the development of new software and tools for genomic data analysis, and it is contributing to the growth of the AI in genomics market in North America.

Asia Pacific is expected to witness the fastest CAGR of 47.12% over the forecast period. The demand for AI in genomics in the region is driven by a combination of rapidly increasing healthcare expenditure, a growing focus on precision medicine, advances in genomics technology, and a large and growing population. Some Asian countries have started their own national genomics initiatives, establishing their own population genetic databases by sequencing the DNA of healthy people. In Thailand, a five-year Genomics Initiative worth USD 150 million was authorized by the government in 2019 to characterize the genomes of 50,000 citizens.

AI In Genomics Market Segmentations:

By Component By Technology By Functionality By Application By End-use

Hardware

Software

Services

Machine Learning

Computer Vision

Genome Sequencing

Gene Editing

Others

Drug Discovery & Development

Precision Medicine

Diagnostics

Others

Pharmaceutical and Biotech Companies

Healthcare Providers

Research Centers

Others

Frequently Asked Questions

The global AI in genomics market size was reached at USD 497.92 million in 2022 and it is projected to hit around USD 21,972.42 million by 2032.

The global AI in genomics market is growing at a compound annual growth rate (CAGR) of 46.04% from 2023 to 2032.

The North America region has accounted for the largest AI in genomics market share in 2022.

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 AI In Genomics Market 

5.1. COVID-19 Landscape: AI 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 AI In Genomics Market, By Component

8.1. AI In Genomics Market, by Component, 2023-2032

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global AI In Genomics Market, By Technology

9.1. AI In Genomics Market, by Technology, 2023-2032

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Computer Vision

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global AI In Genomics Market, By Functionality 

10.1. AI In Genomics Market, by Functionality, 2023-2032

10.1.1. Genome Sequencing

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Gene Editing

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Others

10.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global AI In Genomics Market, By Application

11.1. AI In Genomics Market, by Application, 2023-2032

11.1.1. Drug Discovery & Development

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Precision Medicine

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Diagnostics

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Others

11.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global AI In Genomics Market, By End-use

12.1. AI In Genomics Market, by End-use, 2023-2032

12.1.1. Pharmaceutical and Biotech Companies

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Healthcare Providers

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Research Centers

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Others

12.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global AI In Genomics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.2. Market Revenue and Forecast, by Technology (2020-2032)

13.1.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.1.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.5. Market Revenue and Forecast, by End-use (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.7. Market Revenue and Forecast, by End-use (2020-2032) 

13.1.8. Rest of North America

13.1.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.1.8.2. Market Revenue and Forecast, by Technology (2020-2032)

13.1.8.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.1.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.8.5. Market Revenue and Forecast, by End-use (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.2. Market Revenue and Forecast, by Technology (2020-2032)

13.2.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.2.4. Market Revenue and Forecast, by Application (2020-2032) 

13.2.5. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.2.7. Market Revenue and Forecast, by Application (2020-2032) 

13.2.8. Market Revenue and Forecast, by End-use (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Technology (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.2.10. Market Revenue and Forecast, by Application (2020-2032)

13.2.11. Market Revenue and Forecast, by End-use (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Technology (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.13. Market Revenue and Forecast, by End-use (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Component (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Technology (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.15. Market Revenue and Forecast, by End-use (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.2. Market Revenue and Forecast, by Technology (2020-2032)

13.3.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.3.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.7. Market Revenue and Forecast, by End-use (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.9. Market Revenue and Forecast, by End-use (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Technology (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Technology (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.2. Market Revenue and Forecast, by Technology (2020-2032)

13.4.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.4.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.7. Market Revenue and Forecast, by End-use (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.9. Market Revenue and Forecast, by End-use (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Technology (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End-use (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Component (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Technology (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.2. Market Revenue and Forecast, by Technology (2020-2032)

13.5.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.5.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.5. Market Revenue and Forecast, by End-use (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.7. Market Revenue and Forecast, by End-use (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Component (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Technology (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Functionality (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End-use (2020-2032)

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. Microsoft Corporation

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. NVIDIA Corporation

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. DEEP GENOMICS

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Data4Cure, Inc.

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Freenome Holdings, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Thermo Fisher Scientific

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Illumina, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. SOPHiA GENETICS

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. BenevolentAI

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

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