by 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.
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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.
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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
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