+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

PRINTER FRIENDLY

Global Artificial Intelligence In Genomics Market Analysis, 2021

  • ID: 5439598
  • Report
  • April 2021
  • Region: Global
  • 210 Pages
  • MarkNtel Advisors LLP

FEATURED COMPANIES

  • BenevolentAI limited
  • Deep Genomics
  • Empiric Logic
  • FDNA
  • Genoox
  • IBM.

Market Overview


Genomes are a complete set of DNA, including all the genes of a particular individual. The study of genomes of an organism focusing on its evolution, structure, and functioning is known as genomics. Now, the role of Artificial intelligence in genomics is to help developing drugs for curing rare diseases.

According to the publisher's research report, Global Artificial Intelligence in Genomics Market Analysis, 2021, the market is expected to grow at a CAGR of around 53% during (2021-26). The market growth is primarily due to the rising need to analyze the patients' data using AI to discover novel methods for improving the overall healthcare quality.

The increase in the volume of data and rising dataset sophistication fuels the demand for AI in genomics. Additionally, the combination of AI in genomics helps to diagnose diseases, such as cancer, diabetes, and Attention deficit hyperactivity disorder (ADHD) by analyzing a significant amount of data points in less time.

Impact of COVID-19


The outbreak of the COVID-19 has accelerated the use of AI technology in various end-user industries. Healthcare professionals have tried to diagnose the severity of coronavirus infection with the help of research and existing genetic databases.

With AI in genomics, the data derived from genomes can identify Covid-19 complications. Further, the adoption of AI in genomics is primarily for diagnosis & drug development, thereby providing a lucrative opportunity to drive the market growth in the forthcoming period.

Market Segmentation


Pharmaceutical and Biotech Company Accounted for the Largest Market Share


Based on the End-User, the market classifies into Pharmaceutical & Biotech Companies, Healthcare Providers, Research Centers, Academic Institutes, Government Organizations, and Other End Users. In 2019, the Pharmaceutical and Biotech companies acquired the largest share in the Global Artificial Intelligence in Genomics Market. Data is an essential part of pharmaceutical companies for drug development as it is evidence of safety and efficacy. Thus, the AI helps in analyzing this data efficiently and safely.

The surge in prevalence of diseases like cancer & genetic disorders and the rising demand to reduce time & costs of drug development are likely to support this segment's growth, tells the authors in their research report, Global Artificial Intelligence in Genomics Market Analysis, 2021.

Machine Learning Grabbed the Highest Share


Based on the Technology, the Machine Learning segment dominated the Global Artificial Intelligence in Genomics Market in 2019. It is because genomics produces massive data; therefore, most bioinformatics algorithms work on the methodologies of machine learning to identify patterns & make predictions.

Additionally, there is a surge in the adoption of machine learning for drug-genomic applications by pharmaceutical and biotechnology companies because it extracts meaningful insights from the data sets and augments genomic research.

Regional Landscape


North America Acquired the Largest Market Share


Globally, North America has accounted for the largest share in the Global Artificial Intelligence in Genomics Market in 2019 and is likely to maintain its dominance over the forecast period due to an increase in R&D funding and rising government initiatives to promote precision medicine in the region.

Furthermore, the presence of key players, developing infrastructure to support advanced technology, and incredible strategies by market players to offer efficient solutions are the factors rendering growth opportunities to Artificial Intelligence in the genomics market.

Market Driver


Burgeoning Need to Reduce the Cost and Time of Drug Development


Generally, drug discovery & development happens through 'In Vivo' and 'In Vitro' methods, which are costly and consume a significant amount of time to complete the process. Hence, AI in genomics is rising as an alternative approach for discovering drugs; it analyzes the massive datasets for developing new therapeutics in less time than traditional methods.

Competitive Landscape


According to the publishers, the major leading players in the global Artificial Intelligence in Genomics market are IBM., Nvidia, Deep Genomics, BenevolentAI limited, Verge Genomics, Molecularmatch, Sophia Genetics, Genoox, FDNA, Empiric Logic, etc.

Key Questions Answered in the Market Research Report:


1. What are the primary overall market statistics or estimates (Market Overview, Market Size- By Value, Forecast Numbers, Market Segmentation, Market Shares) of Global Artificial Intelligence in Genomics Market?
2. What are the region-wise industry size, growth drivers, and challenges?
3. What are the key innovations, opportunities, current & future trends, and regulations in the Global Artificial Intelligence in Genomics Market?
4. Who are the key competitors, their key strengths and weaknesses, and how do they perform in Global Artificial Intelligence in Genomics Market based on a competitive benchmarking matrix?
5. What are the key results derived from the market surveys conducted during Global Artificial Intelligence in Genomics Market study?
Note: Product cover images may vary from those shown

FEATURED COMPANIES

  • BenevolentAI limited
  • Deep Genomics
  • Empiric Logic
  • FDNA
  • Genoox
  • IBM.

1. Introduction
1.1. Product Definition
1.2. Research Process
1.3. Assumptions
1.4. Market Segmentation
2. Preface3. Executive Summary4. Impact of COVID-19 on Global Artificial Intelligence in Genomics Market5. Global Artificial Intelligence in Genomics Market Trends & Insights
6. Global Artificial Intelligence in Genomics Market Dynamics
6.1. Drivers
6.2. Challenges
6.3. Impact Analysis
7. Global Artificial Intelligence in Genomics Market Hotspots & Opportunities8. Global Artificial Intelligence in Genomics Market Value Chain Analysis9. Global Artificial Intelligence in Genomics Market Regulations & Policy
10. Global Artificial Intelligence in Genomics Market Start-up Ecosystem, 2016-2021
10.1. Entrepreneurial Activity
10.2. Year On Year Funding Received
10.3. Funding Received by Top Companies
10.4. Key Investors Active in the Market
10.5. Series Wise Funding Received
10.5.1. Seed Funding
10.5.2. Angel Investing
10.5.3. Venture Capitalists (VC) Funding
10.5.4. Others
11. Global Artificial Intelligence in Genomics Market Outlook, 2016-2026F
11.1. Market Size & Analysis
11.1.1. By Revenues
11.2. Market Share & Analysis
11.2.1. By Offering
11.2.1.1. Softwares
11.2.1.2. Services
11.2.2. By Technology
11.2.2.1. Machine Learning
11.2.2.1.1. Deep Learning
11.2.2.2. Other Technologies
11.2.3. By Functionality
11.2.3.1. Gene Editing
11.2.3.2. Genome Sequencing
11.2.3.3. Predictive Genetic Testing & Preventive Medicine
11.2.4. By Application
11.2.4.1. Diagnostics
11.2.4.2. Precision Medicine
11.2.4.3. Drug Discovery & Development
11.2.4.4. Agriculture & Animal Research
11.2.5. By End User
11.2.5.1. Pharmaceutical Companies
11.2.5.2. Research Centers, Academic Institutes
11.2.5.3. Healthcare Providers
11.2.5.4. Government Organizations
11.2.6. By Region
11.2.6.1. North America
11.2.6.2. South America
11.2.6.3. Europe
11.2.6.4. Middle East & Africa
11.2.6.5. Asia Pacific
11.2.7. By Competitors
11.2.7.1. Competition Characteristics
11.2.7.2. Market Share & Analysis
11.2.7.3. Competitive Matrix
12. North America Artificial Intelligence in Genomics Market Outlook, 2016-2026F
12.1. Market Size & Analysis
12.1.1. By Revenue
12.2. Market Share & Analysis
12.2.1. By Offering
12.2.2. By Technology
12.2.3. By Functionality
12.2.4. By Application
12.2.5. By End User
12.2.6. By Country
12.2.6.1. The US
12.2.6.2. Canada
12.2.6.3. Mexico
12.3. The US Artificial Intelligence in Genomics Market Outlook, 2016-2026F
12.3.1. Market Size & Analysis
12.3.1.1. By Revenue
12.3.2. Market Share & Analysis
12.3.2.1. By Offering
12.3.2.2. By Technology
12.4. Canada Artificial Intelligence in Genomics Market Outlook, 2016-2026F
12.4.1. Market Size & Analysis
12.4.1.1. By Revenue
12.4.2. Market Share & Analysis
12.4.2.1. By Offering
12.4.2.2. By Technology
12.5. Mexico Artificial Intelligence in Genomics Market Outlook, 2016-2026F
12.5.1. Market Size & Analysis
12.5.1.1. By Revenue
12.5.2. Market Share & Analysis
12.5.2.1. By Offering
12.5.2.2. By Technology
13. South America Artificial Intelligence in Genomics Market Outlook, 2016-2026F
13.1. Market Size & Analysis
13.1.1. By Revenue
13.2. Market Share & Analysis
13.2.1. By Offering
13.2.2. By Technology
13.2.3. By Functionality
13.2.4. By Application
13.2.5. By End User
13.2.6. By Country
13.2.6.1. Brazil
13.2.6.2. Others
13.3. Brazil Artificial Intelligence in Genomics Market Outlook, 2016-2026F
13.3.1. Market Size & Analysis
13.3.1.1. By Revenue
13.3.2. Market Share & Analysis
13.3.2.1. By Offering
13.3.2.2. By Technology
14. Europe Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.1. Market Size & Analysis
14.1.1. By Revenue
14.2. Market Share & Analysis
14.2.1. By Offering
14.2.2. By Technology
14.2.3. By Functionality
14.2.4. By Application
14.2.5. By End User
14.2.6. By Country
14.2.6.1. Germany
14.2.6.2. The UK
14.2.6.3. France
14.2.6.4. Spain
14.2.6.5. Italy
14.2.6.6. Others
14.3. Germany Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.3.1. Market Size & Analysis
14.3.1.1. By Revenue
14.3.2. Market Share & Analysis
14.3.2.1. By Offering
14.3.2.2. By Technology
14.4. The UK Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.4.1. Market Size & Analysis
14.4.1.1. By Revenue
14.4.2. Market Share & Analysis
14.4.2.1. By Offering
14.4.2.2. By Technology
14.5. France Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.5.1. Market Size & Analysis
14.5.1.1. By Revenue
14.5.2. Market Share & Analysis
14.5.2.1. By Offering
14.5.2.2. By Technology
14.6. Spain Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.6.1. Market Size & Analysis
14.6.1.1. By Revenue
14.6.2. Market Share & Analysis
14.6.2.1. By Offering
14.6.2.2. By Technology
14.7. Italy Artificial Intelligence in Genomics Market Outlook, 2016-2026F
14.7.1. Market Size & Analysis
14.7.1.1. By Revenue
14.7.2. Market Share & Analysis
14.7.2.1. By Offering
14.7.2.2. By Technology
15. Middle East & Africa Artificial Intelligence in Genomics Market Outlook, 2016-2026F
15.1. Market Size & Analysis
15.1.1. By Revenue
15.2. Market Share & Analysis
15.2.1. By Offering
15.2.2. By Technology
15.2.3. By Functionality
15.2.4. By Application
15.2.5. By End User
15.2.6. By Country
15.2.6.1. GCC
15.2.6.2. South Africa
15.2.6.3. Others
15.3. GCC Artificial Intelligence in Genomics Market Outlook, 2016-2026F
15.3.1. Market Size & Analysis
15.3.1.1. By Revenue
15.3.2. Market Share & Analysis
15.3.2.1. By Offering
15.3.2.2. By Technology
15.4. South Africa Artificial Intelligence in Genomics Market Outlook, 2016-2026F
15.4.1. Market Size & Analysis
15.4.1.1. By Revenue
15.4.2. Market Share & Analysis
15.4.2.1. By Offering
15.4.2.2. By Technology
16. Asia Pacific Artificial Intelligence in Genomics Market Outlook, 2016-2026F
16.1. Market Size & Analysis
16.1.1. By Revenue
16.2. Market Share & Analysis
16.2.1. By Offering
16.2.2. By Technology
16.2.3. By Functionality
16.2.4. By Application
16.2.5. By End User
16.2.6. By Country
16.2.6.1. China
16.2.6.2. India
16.2.6.3. Japan
16.2.6.4. South Korea
16.2.6.5. Others
16.3. China Artificial Intelligence in Genomics Market Outlook, 2016-2026F
16.3.1. Market Size & Analysis
16.3.1.1. By Revenue
16.3.2. Market Share & Analysis
16.3.2.1. By Offering
16.3.2.2. By Technology
16.4. India Artificial Intelligence in Genomics Market Outlook, 2016-2026F
16.4.1. Market Size & Analysis
16.4.1.1. By Revenue
16.4.2. Market Share & Analysis
16.4.2.1. By Offering
16.4.2.2. By Technology
16.5. Japan Artificial Intelligence in Genomics Market Outlook, 2016-2026F
16.5.1. Market Size & Analysis
16.5.1.1. By Revenue
16.5.2. Market Share & Analysis
16.5.2.1. By Offering
16.5.2.2. By Technology
16.6. South Korea Artificial Intelligence in Genomics Market Outlook, 2016-2026F
16.6.1. Market Size & Analysis
16.6.1.1. By Revenue
16.6.2. Market Share & Analysis
16.6.2.1. By Offering
16.6.2.2. By Technology
17. Key Strategic Imperatives for Success and Growth
18. Competition Outlook
18.1. Competition Matrix
18.1.1. Product Portfolio
18.1.2. Target Markets
18.1.3. Target End Users
18.1.4. Research & Development
18.1.5. Strategic Alliances
18.1.6. Strategic Initiatives
18.2. Company Profiles
18.2.1. Deep Genomics Inc.
18.2.2. IBM
18.2.3. Microsoft Corporation
18.2.4. Fabric Genomics, Inc.
18.2.5. Verge Analytics, Inc.
18.2.6. FDNA Inc.
18.2.7. Benevolent AI
18.2.8. Freenome Holdings, Inc.
18.2.9. SOPHIA GENETICS
18.2.10. Ardigen
18.2.11. Congenica Ltd.
18.2.12. Lantern Pharma, Inc.
18.2.13. MolecularMatch, Inc.
18.2.14. Empiric Logic Limited
18.2.15. Lifebit
19. Disclaimer
Note: Product cover images may vary from those shown

A selection of companies mentioned in this report includes:

  • IBM.
  • Nvidia
  • Deep Genomics
  • BenevolentAI limited
  • Verge Genomics
  • Molecularmatch
  • Sophia Genetics
  • Genoox
  • FDNA
  • Empiric Logic
Note: Product cover images may vary from those shown