by Precedence Research a new report on artificial intelligence in genomics market size, share, growth, industry trends, and forecast 2030, covering various industry elements and growth trends helpful for predicting the market’s future. The global artificial intelligence in genomics market size was valued at US$ 283.41 million in 2021. The global artificial intelligence in genomics market is projected to reach US$ 5,972 million by 2030, registering a compound annual growth rate (CAGR) of 40.31% during the forecast period from 2022 to 2030.
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The global artificial intelligence in genomics market report offers various segments analysis by size, trends, growth factors, opportunities and key country outlook to 2030. The report offers a detailed analysis and information as per artificial intelligence in genomics, market segments helping our readers to get a comprehensive overview of the global market. Several players are planning to focus on developing cost-effective products or services, aiming to maintain a strong foothold in the market.
Artificial Intelligence in Genomics Market Report Scope
| 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 company profiling of leading market players is included this report with Porter’s five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.
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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.
Artificial Intelligence in Genomics 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
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]
Key Questions are
- What are the key factors influencing the artificial intelligence in genomics market in each region?
- How much value will the global market generate by the end of the forecast period?
- What will be the CAGR of the global market between 2022 and 2030?
- What would be the Y-o-Y growth trend of the global market between 2022 and 2030?
- What is the future scope and current trends in technologies of the global market?
- What is the revenue of the global market based on segments?
- Which key strategies are used by top players of the global market?
- Which are the leading companies in the global market?
- What are the essential strategies by key stakeholders in the market to expand their geographic presence?
- What are the major advancements witnessed in the global market?
Research Objectives and Research Approach
The comprehensive report on the global artificial intelligence in genomics market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global artificial intelligence in genomics market.
It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.
For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.
The report analyzes the global artificial intelligence in genomics market in terms of type, application, region and others. Key segments under each criteria are studied at length, and the market share for each of these at the end of 2030 has also been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global market.
Why should you invest in this report?
If you are aiming to enter the global artificial intelligence in genomics market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence in genomics are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.
Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.
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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