Global AI in Genomics Market

AI in Genomics Comprehensive Study by Application (Medical Applications, Agricultural Applications), Technology (Artificial Intelligence, Machine Learning), End User (Hospitals, Research Laboratories, Pharmaceuticals Companies, Biotechnology Companies) Players and Region - Global Market Outlook to 2027

AI in Genomics Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
AI in Genomics Market Scope
AI in genomics is concerned with the application of artificial intelligence (AI) in the development of computer systems capable of performing tasks such as genome mapping. Furthermore, AI aids in the faster study of the structure, evolution, and activity of genetic material than could be done with human assistance. The primary goal of AI algorithms is to mimic human intelligence; however, in clinical genomics, it is intended to perform genomic analysis such as genome annotation, variant calling, phenotype-to-genotype correspondence, and genome interpretation. Furthermore, AI methods can directly predict protein structure or DNA data with minimal feature handcrafting. The applications of genomics in personalized medicine are significant.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)
Key Companies ProfiledIBM (United States), Microsoft (United States), NVIDIA Corporation (United States), Data4Cure Inc. (United States), DNAnexus Inc. (United States), Sophia GENETICS (United States), Data4Cure Inc. (United States), Precisionlife Ltd (United Kingdom), Genoox Ltd. (United States), Lifebit (United Kingdom), Diploid (Belgium), MEDGENOME (United States), NetApp, Inc. (United States), FDNA Inc. (United States), Empiric Logic (Ireland), Engine Biosciences Pte. Ltd. (United States)., Deep Genomics (Canada), BenevolentAI (United Kingdom), Fabric Genomics Inc. (United States) and Verge Genomics (United States)
CAGR%


The market for AI in Genomics is highly competitive with several global as well as local players in the market. The global players are trying various strategies such as product innovation and using various marketing strategies to gain a higher market share. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global AI in Genomics market throughout the predicted period.

IBM (United States), Microsoft (United States), NVIDIA Corporation (United States), Data4Cure Inc. (United States), DNAnexus Inc. (United States), Sophia GENETICS (United States), Data4Cure Inc. (United States), Precisionlife Ltd (United Kingdom), Genoox Ltd. (United States), Lifebit (United Kingdom), Diploid (Belgium), MEDGENOME (United States), NetApp, Inc. (United States), FDNA Inc. (United States), Empiric Logic (Ireland), Engine Biosciences Pte. Ltd. (United States)., Deep Genomics (Canada), BenevolentAI (United Kingdom), Fabric Genomics Inc. (United States) and Verge Genomics (United States) are some of the key players that are part of study coverage.

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Segmentation Overview
The study have segmented the market of Global AI in Genomics market by Type , by Application (Medical Applications and Agricultural Applications) and Region with country level break-up.

On the basis of geography, the market of AI in Genomics has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). region held largest market share in the year 2021.

On 13 April 2022, MedGenome Labs, a genomics research and diagnostics company in South Asia, has developed and launched an AI-enabled variant interpretation software suite, VarMiner. According to the company, this software will help clinicians, molecular geneticists, and Genome analysts to interpret and report actionable genetic variants.


AI in Genomics Market Dynamics:
AttributesDetails
Trends Influencing Market
  • Rising Number Of Investments In Medical Research
Key Restraints
  • Growing Prevalence Of Chronic Disorders
  • Increasing Awareness About Ai Benefits In The Healthcare Industry
Challenges
  • Concern regarding Data Privacy and Security
  • Intense Competition Among Players
Market Opportunities
  • Increase In Government Initiatives And Research Funding For Promoting Precision Medicines


Report Objectives / Segmentation Covered

By Application
  • Medical Applications
  • Agricultural Applications
By Technology
  • Artificial Intelligence
  • Machine Learning

By End User
  • Hospitals
  • Research Laboratories
  • Pharmaceuticals Companies
  • Biotechnology Companies

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Growing Prevalence Of Chronic Disorders
      • 3.2.2. Increasing Awareness About Ai Benefits In The Healthcare Industry
    • 3.3. Market Challenges
      • 3.3.1. Concern regarding Data Privacy and Security
      • 3.3.2. Intense Competition Among Players
    • 3.4. Market Trends
      • 3.4.1. Rising Number Of Investments In Medical Research
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Genomics, by Application, Technology , End User and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global AI in Genomics (Value)
      • 5.2.1. Global AI in Genomics by: Application (Value)
        • 5.2.1.1. Medical Applications
        • 5.2.1.2. Agricultural Applications
      • 5.2.2. Global AI in Genomics by: End User (Value)
        • 5.2.2.1. Hospitals
        • 5.2.2.2. Research Laboratories
        • 5.2.2.3. Pharmaceuticals Companies
        • 5.2.2.4. Biotechnology Companies
      • 5.2.3. Global AI in Genomics Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
    • 5.3. Global AI in Genomics (Price)
  • 6. AI in Genomics: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. IBM (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Microsoft (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. NVIDIA Corporation (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Data4Cure Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. DNAnexus Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Sophia GENETICS (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Data4Cure Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Precisionlife Ltd (United Kingdom)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Genoox Ltd. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Lifebit (United Kingdom)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Diploid (Belgium)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. MEDGENOME (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. NetApp, Inc. (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. FDNA Inc. (United States)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Empiric Logic (Ireland)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Engine Biosciences Pte. Ltd. (United States).
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Deep Genomics (Canada)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. BenevolentAI (United Kingdom)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
      • 6.4.19. Fabric Genomics Inc. (United States)
        • 6.4.19.1. Business Overview
        • 6.4.19.2. Products/Services Offerings
        • 6.4.19.3. Financial Analysis
        • 6.4.19.4. SWOT Analysis
      • 6.4.20. Verge Genomics (United States)
        • 6.4.20.1. Business Overview
        • 6.4.20.2. Products/Services Offerings
        • 6.4.20.3. Financial Analysis
        • 6.4.20.4. SWOT Analysis
  • 7. Global AI in Genomics Sale, by Application, Technology , End User and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global AI in Genomics (Value)
      • 7.2.1. Global AI in Genomics by: Application (Value)
        • 7.2.1.1. Medical Applications
        • 7.2.1.2. Agricultural Applications
      • 7.2.2. Global AI in Genomics by: End User (Value)
        • 7.2.2.1. Hospitals
        • 7.2.2.2. Research Laboratories
        • 7.2.2.3. Pharmaceuticals Companies
        • 7.2.2.4. Biotechnology Companies
      • 7.2.3. Global AI in Genomics Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global AI in Genomics (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Genomics: by Application(USD Million)
  • Table 2. AI in Genomics Medical Applications , by Region USD Million (2016-2021)
  • Table 3. AI in Genomics Agricultural Applications , by Region USD Million (2016-2021)
  • Table 4. AI in Genomics: by End User(USD Million)
  • Table 5. AI in Genomics Hospitals , by Region USD Million (2016-2021)
  • Table 6. AI in Genomics Research Laboratories , by Region USD Million (2016-2021)
  • Table 7. AI in Genomics Pharmaceuticals Companies , by Region USD Million (2016-2021)
  • Table 8. AI in Genomics Biotechnology Companies , by Region USD Million (2016-2021)
  • Table 9. South America AI in Genomics, by Country USD Million (2016-2021)
  • Table 10. South America AI in Genomics, by Application USD Million (2016-2021)
  • Table 11. South America AI in Genomics, by Technology USD Million (2016-2021)
  • Table 12. South America AI in Genomics, by End User USD Million (2016-2021)
  • Table 13. Brazil AI in Genomics, by Application USD Million (2016-2021)
  • Table 14. Brazil AI in Genomics, by Technology USD Million (2016-2021)
  • Table 15. Brazil AI in Genomics, by End User USD Million (2016-2021)
  • Table 16. Argentina AI in Genomics, by Application USD Million (2016-2021)
  • Table 17. Argentina AI in Genomics, by Technology USD Million (2016-2021)
  • Table 18. Argentina AI in Genomics, by End User USD Million (2016-2021)
  • Table 19. Rest of South America AI in Genomics, by Application USD Million (2016-2021)
  • Table 20. Rest of South America AI in Genomics, by Technology USD Million (2016-2021)
  • Table 21. Rest of South America AI in Genomics, by End User USD Million (2016-2021)
  • Table 22. Asia Pacific AI in Genomics, by Country USD Million (2016-2021)
  • Table 23. Asia Pacific AI in Genomics, by Application USD Million (2016-2021)
  • Table 24. Asia Pacific AI in Genomics, by Technology USD Million (2016-2021)
  • Table 25. Asia Pacific AI in Genomics, by End User USD Million (2016-2021)
  • Table 26. China AI in Genomics, by Application USD Million (2016-2021)
  • Table 27. China AI in Genomics, by Technology USD Million (2016-2021)
  • Table 28. China AI in Genomics, by End User USD Million (2016-2021)
  • Table 29. Japan AI in Genomics, by Application USD Million (2016-2021)
  • Table 30. Japan AI in Genomics, by Technology USD Million (2016-2021)
  • Table 31. Japan AI in Genomics, by End User USD Million (2016-2021)
  • Table 32. India AI in Genomics, by Application USD Million (2016-2021)
  • Table 33. India AI in Genomics, by Technology USD Million (2016-2021)
  • Table 34. India AI in Genomics, by End User USD Million (2016-2021)
  • Table 35. South Korea AI in Genomics, by Application USD Million (2016-2021)
  • Table 36. South Korea AI in Genomics, by Technology USD Million (2016-2021)
  • Table 37. South Korea AI in Genomics, by End User USD Million (2016-2021)
  • Table 38. Taiwan AI in Genomics, by Application USD Million (2016-2021)
  • Table 39. Taiwan AI in Genomics, by Technology USD Million (2016-2021)
  • Table 40. Taiwan AI in Genomics, by End User USD Million (2016-2021)
  • Table 41. Australia AI in Genomics, by Application USD Million (2016-2021)
  • Table 42. Australia AI in Genomics, by Technology USD Million (2016-2021)
  • Table 43. Australia AI in Genomics, by End User USD Million (2016-2021)
  • Table 44. Rest of Asia-Pacific AI in Genomics, by Application USD Million (2016-2021)
  • Table 45. Rest of Asia-Pacific AI in Genomics, by Technology USD Million (2016-2021)
  • Table 46. Rest of Asia-Pacific AI in Genomics, by End User USD Million (2016-2021)
  • Table 47. Europe AI in Genomics, by Country USD Million (2016-2021)
  • Table 48. Europe AI in Genomics, by Application USD Million (2016-2021)
  • Table 49. Europe AI in Genomics, by Technology USD Million (2016-2021)
  • Table 50. Europe AI in Genomics, by End User USD Million (2016-2021)
  • Table 51. Germany AI in Genomics, by Application USD Million (2016-2021)
  • Table 52. Germany AI in Genomics, by Technology USD Million (2016-2021)
  • Table 53. Germany AI in Genomics, by End User USD Million (2016-2021)
  • Table 54. France AI in Genomics, by Application USD Million (2016-2021)
  • Table 55. France AI in Genomics, by Technology USD Million (2016-2021)
  • Table 56. France AI in Genomics, by End User USD Million (2016-2021)
  • Table 57. Italy AI in Genomics, by Application USD Million (2016-2021)
  • Table 58. Italy AI in Genomics, by Technology USD Million (2016-2021)
  • Table 59. Italy AI in Genomics, by End User USD Million (2016-2021)
  • Table 60. United Kingdom AI in Genomics, by Application USD Million (2016-2021)
  • Table 61. United Kingdom AI in Genomics, by Technology USD Million (2016-2021)
  • Table 62. United Kingdom AI in Genomics, by End User USD Million (2016-2021)
  • Table 63. Netherlands AI in Genomics, by Application USD Million (2016-2021)
  • Table 64. Netherlands AI in Genomics, by Technology USD Million (2016-2021)
  • Table 65. Netherlands AI in Genomics, by End User USD Million (2016-2021)
  • Table 66. Rest of Europe AI in Genomics, by Application USD Million (2016-2021)
  • Table 67. Rest of Europe AI in Genomics, by Technology USD Million (2016-2021)
  • Table 68. Rest of Europe AI in Genomics, by End User USD Million (2016-2021)
  • Table 69. MEA AI in Genomics, by Country USD Million (2016-2021)
  • Table 70. MEA AI in Genomics, by Application USD Million (2016-2021)
  • Table 71. MEA AI in Genomics, by Technology USD Million (2016-2021)
  • Table 72. MEA AI in Genomics, by End User USD Million (2016-2021)
  • Table 73. Middle East AI in Genomics, by Application USD Million (2016-2021)
  • Table 74. Middle East AI in Genomics, by Technology USD Million (2016-2021)
  • Table 75. Middle East AI in Genomics, by End User USD Million (2016-2021)
  • Table 76. Africa AI in Genomics, by Application USD Million (2016-2021)
  • Table 77. Africa AI in Genomics, by Technology USD Million (2016-2021)
  • Table 78. Africa AI in Genomics, by End User USD Million (2016-2021)
  • Table 79. North America AI in Genomics, by Country USD Million (2016-2021)
  • Table 80. North America AI in Genomics, by Application USD Million (2016-2021)
  • Table 81. North America AI in Genomics, by Technology USD Million (2016-2021)
  • Table 82. North America AI in Genomics, by End User USD Million (2016-2021)
  • Table 83. United States AI in Genomics, by Application USD Million (2016-2021)
  • Table 84. United States AI in Genomics, by Technology USD Million (2016-2021)
  • Table 85. United States AI in Genomics, by End User USD Million (2016-2021)
  • Table 86. Canada AI in Genomics, by Application USD Million (2016-2021)
  • Table 87. Canada AI in Genomics, by Technology USD Million (2016-2021)
  • Table 88. Canada AI in Genomics, by End User USD Million (2016-2021)
  • Table 89. Mexico AI in Genomics, by Application USD Million (2016-2021)
  • Table 90. Mexico AI in Genomics, by Technology USD Million (2016-2021)
  • Table 91. Mexico AI in Genomics, by End User USD Million (2016-2021)
  • Table 92. Company Basic Information, Sales Area and Its Competitors
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Company Basic Information, Sales Area and Its Competitors
  • Table 107. Company Basic Information, Sales Area and Its Competitors
  • Table 108. Company Basic Information, Sales Area and Its Competitors
  • Table 109. Company Basic Information, Sales Area and Its Competitors
  • Table 110. Company Basic Information, Sales Area and Its Competitors
  • Table 111. Company Basic Information, Sales Area and Its Competitors
  • Table 112. AI in Genomics: by Application(USD Million)
  • Table 113. AI in Genomics Medical Applications , by Region USD Million (2022-2027)
  • Table 114. AI in Genomics Agricultural Applications , by Region USD Million (2022-2027)
  • Table 115. AI in Genomics: by End User(USD Million)
  • Table 116. AI in Genomics Hospitals , by Region USD Million (2022-2027)
  • Table 117. AI in Genomics Research Laboratories , by Region USD Million (2022-2027)
  • Table 118. AI in Genomics Pharmaceuticals Companies , by Region USD Million (2022-2027)
  • Table 119. AI in Genomics Biotechnology Companies , by Region USD Million (2022-2027)
  • Table 120. South America AI in Genomics, by Country USD Million (2022-2027)
  • Table 121. South America AI in Genomics, by Application USD Million (2022-2027)
  • Table 122. South America AI in Genomics, by Technology USD Million (2022-2027)
  • Table 123. South America AI in Genomics, by End User USD Million (2022-2027)
  • Table 124. Brazil AI in Genomics, by Application USD Million (2022-2027)
  • Table 125. Brazil AI in Genomics, by Technology USD Million (2022-2027)
  • Table 126. Brazil AI in Genomics, by End User USD Million (2022-2027)
  • Table 127. Argentina AI in Genomics, by Application USD Million (2022-2027)
  • Table 128. Argentina AI in Genomics, by Technology USD Million (2022-2027)
  • Table 129. Argentina AI in Genomics, by End User USD Million (2022-2027)
  • Table 130. Rest of South America AI in Genomics, by Application USD Million (2022-2027)
  • Table 131. Rest of South America AI in Genomics, by Technology USD Million (2022-2027)
  • Table 132. Rest of South America AI in Genomics, by End User USD Million (2022-2027)
  • Table 133. Asia Pacific AI in Genomics, by Country USD Million (2022-2027)
  • Table 134. Asia Pacific AI in Genomics, by Application USD Million (2022-2027)
  • Table 135. Asia Pacific AI in Genomics, by Technology USD Million (2022-2027)
  • Table 136. Asia Pacific AI in Genomics, by End User USD Million (2022-2027)
  • Table 137. China AI in Genomics, by Application USD Million (2022-2027)
  • Table 138. China AI in Genomics, by Technology USD Million (2022-2027)
  • Table 139. China AI in Genomics, by End User USD Million (2022-2027)
  • Table 140. Japan AI in Genomics, by Application USD Million (2022-2027)
  • Table 141. Japan AI in Genomics, by Technology USD Million (2022-2027)
  • Table 142. Japan AI in Genomics, by End User USD Million (2022-2027)
  • Table 143. India AI in Genomics, by Application USD Million (2022-2027)
  • Table 144. India AI in Genomics, by Technology USD Million (2022-2027)
  • Table 145. India AI in Genomics, by End User USD Million (2022-2027)
  • Table 146. South Korea AI in Genomics, by Application USD Million (2022-2027)
  • Table 147. South Korea AI in Genomics, by Technology USD Million (2022-2027)
  • Table 148. South Korea AI in Genomics, by End User USD Million (2022-2027)
  • Table 149. Taiwan AI in Genomics, by Application USD Million (2022-2027)
  • Table 150. Taiwan AI in Genomics, by Technology USD Million (2022-2027)
  • Table 151. Taiwan AI in Genomics, by End User USD Million (2022-2027)
  • Table 152. Australia AI in Genomics, by Application USD Million (2022-2027)
  • Table 153. Australia AI in Genomics, by Technology USD Million (2022-2027)
  • Table 154. Australia AI in Genomics, by End User USD Million (2022-2027)
  • Table 155. Rest of Asia-Pacific AI in Genomics, by Application USD Million (2022-2027)
  • Table 156. Rest of Asia-Pacific AI in Genomics, by Technology USD Million (2022-2027)
  • Table 157. Rest of Asia-Pacific AI in Genomics, by End User USD Million (2022-2027)
  • Table 158. Europe AI in Genomics, by Country USD Million (2022-2027)
  • Table 159. Europe AI in Genomics, by Application USD Million (2022-2027)
  • Table 160. Europe AI in Genomics, by Technology USD Million (2022-2027)
  • Table 161. Europe AI in Genomics, by End User USD Million (2022-2027)
  • Table 162. Germany AI in Genomics, by Application USD Million (2022-2027)
  • Table 163. Germany AI in Genomics, by Technology USD Million (2022-2027)
  • Table 164. Germany AI in Genomics, by End User USD Million (2022-2027)
  • Table 165. France AI in Genomics, by Application USD Million (2022-2027)
  • Table 166. France AI in Genomics, by Technology USD Million (2022-2027)
  • Table 167. France AI in Genomics, by End User USD Million (2022-2027)
  • Table 168. Italy AI in Genomics, by Application USD Million (2022-2027)
  • Table 169. Italy AI in Genomics, by Technology USD Million (2022-2027)
  • Table 170. Italy AI in Genomics, by End User USD Million (2022-2027)
  • Table 171. United Kingdom AI in Genomics, by Application USD Million (2022-2027)
  • Table 172. United Kingdom AI in Genomics, by Technology USD Million (2022-2027)
  • Table 173. United Kingdom AI in Genomics, by End User USD Million (2022-2027)
  • Table 174. Netherlands AI in Genomics, by Application USD Million (2022-2027)
  • Table 175. Netherlands AI in Genomics, by Technology USD Million (2022-2027)
  • Table 176. Netherlands AI in Genomics, by End User USD Million (2022-2027)
  • Table 177. Rest of Europe AI in Genomics, by Application USD Million (2022-2027)
  • Table 178. Rest of Europe AI in Genomics, by Technology USD Million (2022-2027)
  • Table 179. Rest of Europe AI in Genomics, by End User USD Million (2022-2027)
  • Table 180. MEA AI in Genomics, by Country USD Million (2022-2027)
  • Table 181. MEA AI in Genomics, by Application USD Million (2022-2027)
  • Table 182. MEA AI in Genomics, by Technology USD Million (2022-2027)
  • Table 183. MEA AI in Genomics, by End User USD Million (2022-2027)
  • Table 184. Middle East AI in Genomics, by Application USD Million (2022-2027)
  • Table 185. Middle East AI in Genomics, by Technology USD Million (2022-2027)
  • Table 186. Middle East AI in Genomics, by End User USD Million (2022-2027)
  • Table 187. Africa AI in Genomics, by Application USD Million (2022-2027)
  • Table 188. Africa AI in Genomics, by Technology USD Million (2022-2027)
  • Table 189. Africa AI in Genomics, by End User USD Million (2022-2027)
  • Table 190. North America AI in Genomics, by Country USD Million (2022-2027)
  • Table 191. North America AI in Genomics, by Application USD Million (2022-2027)
  • Table 192. North America AI in Genomics, by Technology USD Million (2022-2027)
  • Table 193. North America AI in Genomics, by End User USD Million (2022-2027)
  • Table 194. United States AI in Genomics, by Application USD Million (2022-2027)
  • Table 195. United States AI in Genomics, by Technology USD Million (2022-2027)
  • Table 196. United States AI in Genomics, by End User USD Million (2022-2027)
  • Table 197. Canada AI in Genomics, by Application USD Million (2022-2027)
  • Table 198. Canada AI in Genomics, by Technology USD Million (2022-2027)
  • Table 199. Canada AI in Genomics, by End User USD Million (2022-2027)
  • Table 200. Mexico AI in Genomics, by Application USD Million (2022-2027)
  • Table 201. Mexico AI in Genomics, by Technology USD Million (2022-2027)
  • Table 202. Mexico AI in Genomics, by End User USD Million (2022-2027)
  • Table 203. Research Programs/Design for This Report
  • Table 204. Key Data Information from Secondary Sources
  • Table 205. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Genomics: by Application USD Million (2016-2021)
  • Figure 5. Global AI in Genomics: by End User USD Million (2016-2021)
  • Figure 6. South America AI in Genomics Share (%), by Country
  • Figure 7. Asia Pacific AI in Genomics Share (%), by Country
  • Figure 8. Europe AI in Genomics Share (%), by Country
  • Figure 9. MEA AI in Genomics Share (%), by Country
  • Figure 10. North America AI in Genomics Share (%), by Country
  • Figure 11. Global AI in Genomics share by Players 2021 (%)
  • Figure 12. Global AI in Genomics share by Players (Top 3) 2021(%)
  • Figure 13. Global AI in Genomics share by Players (Top 5) 2021(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 16. IBM (United States) Revenue: by Geography 2021
  • Figure 17. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 18. Microsoft (United States) Revenue: by Geography 2021
  • Figure 19. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 20. NVIDIA Corporation (United States) Revenue: by Geography 2021
  • Figure 21. Data4Cure Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 22. Data4Cure Inc. (United States) Revenue: by Geography 2021
  • Figure 23. DNAnexus Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 24. DNAnexus Inc. (United States) Revenue: by Geography 2021
  • Figure 25. Sophia GENETICS (United States) Revenue, Net Income and Gross profit
  • Figure 26. Sophia GENETICS (United States) Revenue: by Geography 2021
  • Figure 27. Data4Cure Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 28. Data4Cure Inc. (United States) Revenue: by Geography 2021
  • Figure 29. Precisionlife Ltd (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 30. Precisionlife Ltd (United Kingdom) Revenue: by Geography 2021
  • Figure 31. Genoox Ltd. (United States) Revenue, Net Income and Gross profit
  • Figure 32. Genoox Ltd. (United States) Revenue: by Geography 2021
  • Figure 33. Lifebit (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 34. Lifebit (United Kingdom) Revenue: by Geography 2021
  • Figure 35. Diploid (Belgium) Revenue, Net Income and Gross profit
  • Figure 36. Diploid (Belgium) Revenue: by Geography 2021
  • Figure 37. MEDGENOME (United States) Revenue, Net Income and Gross profit
  • Figure 38. MEDGENOME (United States) Revenue: by Geography 2021
  • Figure 39. NetApp, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 40. NetApp, Inc. (United States) Revenue: by Geography 2021
  • Figure 41. FDNA Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 42. FDNA Inc. (United States) Revenue: by Geography 2021
  • Figure 43. Empiric Logic (Ireland) Revenue, Net Income and Gross profit
  • Figure 44. Empiric Logic (Ireland) Revenue: by Geography 2021
  • Figure 45. Engine Biosciences Pte. Ltd. (United States). Revenue, Net Income and Gross profit
  • Figure 46. Engine Biosciences Pte. Ltd. (United States). Revenue: by Geography 2021
  • Figure 47. Deep Genomics (Canada) Revenue, Net Income and Gross profit
  • Figure 48. Deep Genomics (Canada) Revenue: by Geography 2021
  • Figure 49. BenevolentAI (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 50. BenevolentAI (United Kingdom) Revenue: by Geography 2021
  • Figure 51. Fabric Genomics Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 52. Fabric Genomics Inc. (United States) Revenue: by Geography 2021
  • Figure 53. Verge Genomics (United States) Revenue, Net Income and Gross profit
  • Figure 54. Verge Genomics (United States) Revenue: by Geography 2021
  • Figure 55. Global AI in Genomics: by Application USD Million (2022-2027)
  • Figure 56. Global AI in Genomics: by End User USD Million (2022-2027)
  • Figure 57. South America AI in Genomics Share (%), by Country
  • Figure 58. Asia Pacific AI in Genomics Share (%), by Country
  • Figure 59. Europe AI in Genomics Share (%), by Country
  • Figure 60. MEA AI in Genomics Share (%), by Country
  • Figure 61. North America AI in Genomics Share (%), by Country
List of companies from research coverage that are profiled in the study
  • IBM (United States)
  • Microsoft (United States)
  • NVIDIA Corporation (United States)
  • Data4Cure Inc. (United States)
  • DNAnexus Inc. (United States)
  • Sophia GENETICS (United States)
  • Data4Cure Inc. (United States)
  • Precisionlife Ltd (United Kingdom)
  • Genoox Ltd. (United States)
  • Lifebit (United Kingdom)
  • Diploid (Belgium)
  • MEDGENOME (United States)
  • NetApp, Inc. (United States)
  • FDNA Inc. (United States)
  • Empiric Logic (Ireland)
  • Engine Biosciences Pte. Ltd. (United States).
  • Deep Genomics (Canada)
  • BenevolentAI (United Kingdom)
  • Fabric Genomics Inc. (United States)
  • Verge Genomics (United States)
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Aug 2022 232 Pages 97 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Global AI in Genomics Market Quantitative research analysis
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The key segments that are playing vital role in AI in Genomics Market are by end use application [Medical Applications and Agricultural Applications].
The AI in Genomics Market is gaining popularity and expected to see strong valuation by 2027.
  • Growing Prevalence Of Chronic Disorders
  • Increasing Awareness About Ai Benefits In The Healthcare Industry

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