Artificial Intelligence in Genomics Market Size, Share & Trends Analysis Report By Offering (Software, Services), By Functionality, By Technology, By Application, By End-User, By Region, And Segment Forecasts, 2024-2031

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence (AI) in Genomics Market Snapshot

Chapter 4. Global Artificial Intelligence (AI) in Genomics Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: By Offering Estimates & Trend Analysis

5.1. By Offering, & Market Share, 2019 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Offering:
5.2.1. Software
5.2.2. Services

Chapter 6. Market Segmentation 2: By Technology Estimates & Trend Analysis

6.1. By Technology & Market Share, 2019 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Technology:
6.2.1. Machine Learning
6.2.2. Deep Learning
6.2.3. Supervised Learning
6.2.4. Reinforcement Learning
6.2.5. Unsupervised Learning
6.2.6. Other Machine Learning Technologies
6.2.7. Other Technologies 

Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis

7.1. By Application & Market Share, 2019 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Application:
7.2.1. Diagnostics
7.2.2. Drug Discovery & Development
7.2.3. Precision Medicine
7.2.4. Agriculture & animal Research
7.2.5. Other Applications

Chapter 8. Market Segmentation 4: By Functionality Estimates & Trend Analysis

8.1. By Functionality & Market Share, 2019 & 2031
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By Functionality:
8.2.1. Genome Sequencing
8.2.2. Gene Editing
8.2.3. Clinical Workflows
8.2.4. Predictive Genetic Testing & Preventive Medicine 

Chapter 9. Market Segmentation 5: By End User Estimates & Trend Analysis

9.1. By End User & Market Share, 2019 & 2031
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following By End User:
9.2.1. Pharmaceutical & Biotech Companies
9.2.2. Healthcare Providers
9.2.3. Research Centers, Academic Institutes & Government Organizations
9.2.4. Other End-Users 

Chapter 10. Artificial Intelligence (AI) in Genomics Market Segmentation 6: Regional Estimates & Trend Analysis

10.1. North America
10.1.1. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Offering, 2024- 2031
10.1.2. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Technology, 2024- 2031
10.1.3. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Application, 2024- 2031
10.1.4. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Functionality, 2024- 2031
10.1.5. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By End User, 2024- 2031
10.1.6. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts by country, 2024- 2031

10.2. Europe
10.2.1. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, 2024- 2031
10.2.2. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, 2024- 2031
10.2.3. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, 2024- 2031
10.2.4. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, 2024- 2031
10.2.5. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, 2024- 2031
10.2.6. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2024- 2031

10.3. Asia Pacific
10.3.1. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, 2024- 2031
10.3.2. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, 2024- 2031
10.3.3. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, 2024- 2031
10.3.4. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, 2024- 2031
10.3.5. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, 2024- 2031
10.3.6. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2024- 2031

10.4. Latin America
10.4.1. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, (US$ Million) 2024- 2031
10.4.2. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, (US$ Million) 2024- 2031
10.4.3. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, (US$ Million) 2024- 2031
10.4.4. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, (US$ Million) 2024- 2031
10.4.5. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, (US$ Million) 2024- 2031
10.4.6. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2024- 2031

10.5. Middle East & Africa
10.5.1. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, (US$ Million) 2024- 2031
10.5.2. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, (US$ Million) 2024- 2031
10.5.3. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, (US$ Million) 2024- 2031
10.5.4. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, (US$ Million) 2024- 2031
10.5.5. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, (US$ Million) 2024- 2031
10.5.6. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2024- 2031

Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles

11.2.1. AI Therapeutics, Inc.,
11.2.2. Ares Genetics GmbH,
11.2.3. BenevolentAI,
11.2.4. BioSymetrics,
11.2.5. Cambridge Cancer Genomics (UK),
11.2.6. Clover Therapeutics,
11.2.7. Congenica Ltd,
11.2.8. Coral Genomics,
11.2.9. CureMatch, Inc.,
11.2.10. Cyclica Inc.,
11.2.11. Data4Cure, Inc,
11.2.12. Deep Genomics,
11.2.13. Desktop Genetics Ltd.,
11.2.14. Diploid (Belgium),
11.2.15. DNAnexus,
11.2.16. Emedgene,
11.2.17. Empiric Logic,
11.2.18. Engine Biosciences Pte. Ltd.,
11.2.19. Fabric Genomics, Inc.,
11.2.20. FDNA Inc. (US),
11.2.21. Freenome Holdings, Inc.,
11.2.22. Genoox, Ltd.,
11.2.23. IBM (US),
11.2.24. LifebitAI,
11.2.25. Microsoft (Project Hanover),
11.2.26. MolecularMatch Inc. (US),
11.2.27. NVIDIA Corporation (US),
11.2.28. PrecisionLife Ltd,
11.2.29. Predictive Oncology,
11.2.30. SOPHiA GENETICS, Inc.,
11.2.31. Trace Genomics,
11.2.32. Verge Genomics,
11.2.33. WhiteLab Genomics,
11.2.34. WuXi Nextcode Genomics

Artificial Intelligence (AI) in Genomics Market Segmentation

Global Artificial Intelligence (AI) in Genomics Market by Offering

• Software
• Services

Global Artificial Intelligence (AI) in Genomics Market by Applications

• Diagnostics
• Drug Discovery & Development
• Precision Medicine
• Agriculture & animal Research
• Other Applications

Global Artificial Intelligence (AI) in Genomics Market by Technology

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

Global Artificial Intelligence (AI) in Genomics Market by Functionality

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

Global Artificial Intelligence (AI) in Genomics Market by End-Users

• Pharmaceutical & Biotech Companies
• Healthcare Providers
• Research Centers, Academic Institutes & Government Organizations
• Other End-Users

Global Artificial Intelligence in Genomics Market Based on Region

Europe Artificial Intelligence in Genomics Market

• U.K.
• Germany
• France
• Italy
• Spain
• Russia
• Rest of Europe

North America Artificial Intelligence in Genomics Market

• U.S.
• Canada

Asia Pacific Artificial Intelligence in Genomics Market

• India
• China
• Japan
• South Korea
• Australia & New Zealand

Latin America Artificial Intelligence in Genomics Market

• Brazil
• Mexico
• Rest of Latin America

Middle East & Africa Artificial Intelligence in Genomics Market

• GCC Countries
• South Africa
• Rest of Middle East & Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

• Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
• External and internal proprietary databases, regulatory databases, and relevant patent analysis
• Statistical databases, National government documents, and market reports
• Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

• Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
• Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
• Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
• End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.