Global Artificial Intelligence in Genomics Market

Report ID : 1122 | Published : 2021-07-26 | Pages: 140 | Format: PDF/EXCEL

The Global Artificial Intelligence in Genomics market is segmented on the basis of offering, application, technology type, functionality, and region. Based on the offering, the AI in the genomics market is divided into Software, Services. Based on the application, the AI in the genomics market is divided into Diagnostics, Drug Discovery & Development, Precision Medicine, Agriculture & animal Research, Other Applications. On the basis of technology, the market is segmented into Machine Learning and Other Technologies. Machine Learning is further segmented into Deep Learning, Supervised Learning, Reinforcement Learning, Unsupervised Learning, Other Machine Learning Technologies. The growing research and development activities for the development of advanced treatment to treat various diseases and the high application of machine learning and deep learning in drug development are expected to the market growth significantly in the coming years. By Functionality, the market is segmented into Genome Sequencing, Gene Editing, Clinical Workflows, and Predictive Genetic Testing & Preventive Medicine. By end-user, the market is segmented into Pharmaceutical & Biotech Companies, Healthcare Providers, Research Centers, Academic Institutes & Government Organizations, and Other End-Users. The growing adoption of AI in the large number of companies operating in drug development and research activities is expected to propel the growth AI in the genomics market significantly. Based on the region, the market is segmented into Latin America, Asia Pacific, Middle East & Africa, North America, and Europe. In 2019, North America accounted for the largest share in AI in the genomics market, followed by Europe.


The Key Players of this market include AI Therapeutics, Inc., Ares Genetics GmbH, BenevolentAI, BioSymetrics, Cambridge Cancer Genomics (UK), Clover Therapeutics, Congenica Ltd, Coral Genomics, CureMatch, Inc., Cyclica Inc., Data4Cure, Inc, Deep Genomics, Desktop Genetics Ltd., Diploid (Belgium), DNAnexus, Emedgene, Empiric Logic, Engine Biosciences Pte. Ltd., Fabric Genomics, Inc., FDNA Inc. (US), Freenome Holdings, Inc., Genoox, Ltd., IBM (US), LifebitAI, Microsoft (Project Hanover), MolecularMatch Inc. (US), NVIDIA Corporation (US), PrecisionLife Ltd, Predictive Oncology, SOPHiA GENETICS, Inc., Trace Genomics, Verge Genomics, WhiteLab Genomics, WuXi Nextcode Genomics among others. The growing collaboration among hospitals and research institutes, and biopharmaceutical companies is boosting the growth of the adoption of AI on the genomics market globally.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence in Genomics Market Snapshot

Chapter 4. Global Artificial Intelligence 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 of Key AI in Healthcare Companies

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Major Investment, Partnerships and Collaborations in Genomics Research

Chapter 5. Market Segmentation 1: Service Estimates & Trend Analysis

5.1. Service Type & Market Share, 2019 & 2028

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2028 for the following Service Type:

5.2.1. Genome Sequencing

5.2.2. Gene Editing

5.2.3. Clinical Workflow

5.2.4. Direct-to-Consumer Genomics

Chapter 6. Market Segmentation 1: Application Estimates & Trend Analysis

6.1. Application Type & Market Share, 2019 & 2028

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2028 for the following Application Type:

6.2.1. Pharmacogenomics

6.2.2. Newborn Genetic Screening Tools

6.2.3. Agriculture

6.2.4. Others

Chapter 7. Market Segmentation 2: End-user Estimates & Trend Analysis

7.1. End-user & Market Share, 2019 & 2028

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2028 for the following End-user:

7.2.1. Drug Development Companies

7.2.2. Hospitals and Healthcare Providers

7.2.3. Research Institutes

Chapter 8. Artificial Intelligence in Genomics Market Segmentation 3: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Artificial Intelligence in Genomics Market revenue (US$ Million) estimates and forecasts by Service, 2018-2027

8.1.2. North America Artificial Intelligence in Genomics Market revenue (US$ Million) estimates and forecasts by Application, 2018-2027

8.1.3. North America Artificial Intelligence in Genomics Market revenue (US$ Million) estimates and forecasts by End-user, 2018-2027

8.1.4. North America Artificial Intelligence in Genomics Market revenue (US$ Million) estimates and forecasts by country, 2018-2027

8.2. Europe

8.2.1. Europe Artificial Intelligence in Genomics Market revenue (US$ Million) by Service, 2018-2027

8.2.2. Europe Artificial Intelligence in Genomics Market revenue (US$ Million) by Application, 2018-2027

8.2.3. Europe Artificial Intelligence in Genomics Market revenue (US$ Million) by End-user, 2018-2027

8.2.4. Europe Artificial Intelligence in Genomics Market revenue (US$ Million) by country, 2018-2027

8.3. Asia Pacific

8.3.1. Asia Pacific Artificial Intelligence in Genomics Market revenue (US$ Million) by Service, 2018-2027

8.3.2. Asia Pacific Artificial Intelligence in Genomics Market revenue (US$ Million) by Application, 2018-2027

8.3.3. Asia Pacific Artificial Intelligence in Genomics Market revenue (US$ Million) by End-user, 2018-2027

8.3.4. Asia Pacific Artificial Intelligence in Genomics Market revenue (US$ Million) by country, 2018-2027

8.4. Latin America

8.4.1. Latin America Artificial Intelligence in Genomics Market revenue (US$ Million) by Service, (US$ Million)

8.4.2. Latin America Artificial Intelligence in Genomics Market revenue (US$ Million) by Application, (US$ Million)

8.4.3. Latin America Artificial Intelligence in Genomics Market revenue (US$ Million) by country, (US$ Million) 2018-2027

8.5. Middle East & Africa

8.5.1. Middle East & Africa Artificial Intelligence in Genomics Market revenue (US$ Million) by Service, (US$ Million)

8.5.2. Latin America Artificial Intelligence in Genomics Market revenue (US$ Million) by Application, (US$ Million)

8.5.3. Latin America Artificial Intelligence in Genomics Market revenue (US$ Million) by country, (US$ Million) 2018-2027

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. AI Therapeutics, Inc.

9.2.2. Freenome Holdings, Inc.

9.2.3. BioSymetrics

9.2.4. Cyclica Inc.

9.2.5. Clover Therapeutics

9.2.6. Coral Genomics

9.2.7. Cambridge Cancer Genomics Limited

9.2.8. Deep Genomics

9.2.9. Desktop Genetics Ltd.

9.2.10. DNAnexus

9.2.11. Data4Cure, Inc

9.2.12. Empiric Logic

9.2.13. Engine Biosciences Pte. Ltd.

9.2.14. PrecisionLife Ltd

9.2.15. SOPHiA GENETICS, Inc.

9.2.16. Verge Genomics

9.2.17. Genoox, Ltd.

9.2.18. Fabric Genomics, Inc.

9.2.19. BenevolentAI

9.2.20. LifebitAI

9.2.21. Congenica Ltd

9.2.22. Predictive Oncology

9.2.23. Emedgene

9.2.24. Microsoft (Project Hanover)

9.2.25. Ares Genetics GmbH

9.2.26. CureMatch, Inc.

9.2.27. Trace Genomics

9.2.28. WhiteLab Genomics

9.2.29. WuXi Nextcode Genomics

9.2.30. Other Prominent Player

Global 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.

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