Artificial Intelligence In Genomics Market - Global Industry Analysis

Artificial Intelligence In Genomics Market – By Technology (Machine Learning and Computer Vision), By End-User (Pharma and Research), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 19-May-2021 Category: Biotechnology Report Format : PDF Pages: 120 Report Code: ZMR-6280 Status : Published

The global Artificial Intelligence In Genomics market, which was estimated at about 200 (USD Million) in 2019 and is predicted to accrue earnings worth 1,745 (USD Million) by 2026, is set to record a CAGR of nearly over 52.1% during 2020-2026.

Description

The global Artificial Intelligence In Genomics market, which was estimated at about 200 (USD Million) in 2019 and is predicted to accrue earnings worth 1,745 (USD Million) by 2026, is set to record a CAGR of nearly over 52.1% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence In Genomics market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Million).

Report Scope : 

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Artificial Intelligence In Genomics Market: Overview

Artificial intelligence is massively utilized in genomics for developing & exploring novel medicines for curing rare ailments. Moreover, it makes use of various DNA sequencing procedures, bioinformatics, and recombinant DNAs for assembling, sequencing, analyzing, and functioning of genomes. With machine learning playing a key role in emergence of genomics, the AI in genomics industry is likely to witness a humungous growth over forecast timespan. Apparently, genomics produces big data sets that are utilized in discovering new drugs and AI aids genomics study in producing these novel drugs in a short span. Moreover, AI accompanied by big data analytics helps the firms in gaining insights into in-depth understanding of cancer and other rare form of diseases in patients through genome study.

Global Artificial Intelligence In Genomics Market

Artificial Intelligence In Genomics Market: Drivers

Massive use of next generation sequencing in genomics has resulted in rise in the precision and success of the healthcare sector. Hence, it has become imperative to combine this whole genome sequencing method with machine learning for improving the medical practice as well as improving the knowhow of diseases such as cancer. This will prompt the market growth over 2020-2026. Apart from this, thriving precision medicine market and need for exact whole genome synthesis has created huge growth avenues for artificial intelligence in genomics industry. In addition to this, artificial intelligence is also used in genome field that includes gene editing, direct-to-consumer genomics, and CRISPR as well as improving clinical workflow for improving the patient care, thereby driving market trends.

In addition to this, machine learning is slated to find large-scale applications in domains in the foreseeable future including pharmacogenomics, farming, and newborn genetic screening in the near future. This will create huge growth potential for artificial intelligence in genomics industry over the anticipated timeframe.

Regional Landscape

North American Market To Witness Humungous Surge Over 2020-2026

The growth of the market in North America over the forecast timeline is due to surge in the allocation of funds by private firms & public sector for AI research activities to determine or find its myriad uses in the field of genomics. Apart from this, favorable government schemes for promoting the use of precision medicine in the countries such as the U.S. will drive the regional market growth over the assessment period.

Competitive Landscape

Key players profiled in the study include Deep Genomics (Canada), IBM (U.S.), FDNA Inc. (U.S.), Microsoft (U.S.), Genoox Ltd. (U.S.), NVIDIA Corporation (U.S.), Lifebit (UK),  BenevolentAI (UK), Cambridge Cancer Genomics (UK), Fabric Genomics Inc. (U.S.), Verge Genomics (U.S.), SOPHiA GENETICS (U.S.), Freenome Holdings, Inc. (U.S.), MolecularMatch Inc. (U.S.), Data4Cure Inc. (U.S.), PrecisionLife Ltd (UK), Diploid (Belgium), and DNAnexus Inc. (U.S.).

The global Artificial Intelligence In Genomics Market is segmented as follows:

By End-User:

  • Pharma
  • Research

By Technology:

  • Machine Learning
  • Computer Vision

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodology
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodology
  • Chapter 2. Executive Summary
    • 2.1. Artificial Intelligence In Genomics Market, 2016–2026 (USD Million)
    • 2.2. Artificial Intelligence In Genomics Market: Snapshot
  • Chapter 3. Global Artificial Intelligence In Genomics Market– Industry Analysis
    • 3.1. Artificial Intelligence In Genomics Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. Massive use of next generation sequencing in genomics has resulted in rise in the precision and success of the healthcare sector. Hence, it has become imperative to combine this whule genome sequencing method with machine learning for improving the medical practice as well as improving the knowhow of diseases such as cancer. This will prompt the market growth over 2020-2026.
      • 3.2.2. Thriving precision medicine market and need for exact whule genome synthesis has created huge growth avenues for artificial intelligence in genomics industry.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By End-User
      • 3.4.2. Market attractiveness analysis By Technology
  • Chapter 4. Global Artificial Intelligence In Genomics Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Artificial Intelligence In Genomics Market: company market share, 2018
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technology launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Artificial Intelligence In Genomics Market– End-User Analysis
    • 5.1. Global Artificial Intelligence In Genomics Market overview: By End-User
      • 5.1.1. Global Artificial Intelligence In Genomics Market share, By End-User , 2019 and 2026
    • 5.2. Pharma
      • 5.2.1. Global Artificial Intelligence In Genomics Market By Pharma, 2016–2026 (USD Million)
    • 5.3. Research
      • 5.3.1. Global Artificial Intelligence In Genomics Market By Research, 2016–2026 (USD Million)
  • Chapter 6. Global Artificial Intelligence In Genomics Market– Technology Analysis
    • 6.1. Global Artificial Intelligence In Genomics Market overview: By Technology
      • 6.1.1. Global Artificial Intelligence In Genomics Market share, By Technology, 2019 and 2026
    • 6.2. Machine Learning
      • 6.2.1. Global Artificial Intelligence In Genomics Market By Machine Learning , 2016–2026 (USD Million)
    • 6.3. Computer Vision
      • 6.3.1. Global Artificial Intelligence In Genomics Market By Computer Vision, 2016–2026 (USD Million)
  • Chapter 7. Company Profiles
    • 7.1. Deep Genomics (Canada)
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technology Portfolio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. IBM (U.S.
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technology Portfolio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. FDNA Inc. (U.S.)
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technology Portfolio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. Microsoft (U.S.)
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technology Portfolio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. Genoox Ltd. (U.S.)
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technology Portfolio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. NVIDIA Corporation (U.S.)
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technology Portfolio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. Lifebit (UK)
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Technology Portfolio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. DNAnexus Inc. (U.S.).
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Technology Portfolio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development
    • 7.9. Diploid (Belgium)
      • 7.9.1. Overview
      • 7.9.2. Financials
      • 7.9.3. Technology Portfolio
      • 7.9.4. Business Strategy
      • 7.9.5. Recent Development
    • 7.10. PrecisionLife Ltd (UK)
      • 7.10.1. Overview
      • 7.10.2. Financials
      • 7.10.3. Technology Portfolio
      • 7.10.4. Business Strategy
      • 7.10.5. Recent Development
    • 7.11. Data4Cure Inc. (U.S.)
      • 7.11.1. Overview
      • 7.11.2. Financials
      • 7.11.3. Technology Portfolio
      • 7.11.4. Business Strategy
      • 7.11.5. Recent Development
    • 7.12. MulecularMatch Inc. (U.S.)
      • 7.12.1. Overview
      • 7.12.2. Financials
      • 7.12.3. Technology Portfolio
      • 7.12.4. Business Strategy
      • 7.12.5. Recent Development
    • 7.13. Freenome Huldings, Inc. (U.S.)
      • 7.13.1. Overview
      • 7.13.2. Financials
      • 7.13.3. Technology Portfolio
      • 7.13.4. Business Strategy
      • 7.13.5. Recent Development
    • 7.14. SOPHiA GENETICS (U.S.)
      • 7.14.1. Overview
      • 7.14.2. Financials
      • 7.14.3. Technology Portfolio
      • 7.14.4. Business Strategy
      • 7.14.5. Recent Development
    • 7.15. Verge Genomics (U.S.)
      • 7.15.1. Overview
      • 7.15.2. Financials
      • 7.15.3. Technology Portfolio
      • 7.15.4. Business Strategy
      • 7.15.5. Recent Development
    • 7.16. Fabric Genomics Inc. (U.S.)
      • 7.16.1. Overview
      • 7.16.2. Financials
      • 7.16.3. Technology Portfolio
      • 7.16.4. Business Strategy
      • 7.16.5. Recent Development
    • 7.17. Cambridge Cancer Genomics (UK)
      • 7.17.1. Overview
      • 7.17.2. Financials
      • 7.17.3. Technology Portfolio
      • 7.17.4. Business Strategy
      • 7.17.5. Recent Development
    • 7.18. BenevulentAI (UK)
      • 7.18.1. Overview
      • 7.18.2. Financials
      • 7.18.3. Technology Portfolio
      • 7.18.4. Business Strategy
      • 7.18.5. Recent Development

Methodology


Frequently Asked Questions

Massive use of next generation sequencing in genomics has resulted in rise in the precision and success of the healthcare sector. Hence, it has become imperative to combine this whole genome sequencing method with machine learning for improving the medical practice as well as improving the knowhow of diseases such as cancer. This will prompt the market growth over 2020-2026. Apart from this, thriving precision medicine market and need for exact whole genome synthesis has created huge growth avenues for artificial intelligence in genomics industry. In addition to this, artificial intelligence is also used in genome field that includes gene editing, direct-to-consumer genomics, and CRISPR as well as improving clinical workflow for improving the patient care, thereby driving market trends.

In addition to this, machine learning is slated to find large-scale applications in domains in the foreseeable future including pharmacogenomics, farming, and newborn genetic screening in the near future. This will create huge growth potential for artificial intelligence in genomics industry over the anticipated timeframe.

According to Zion Market Research report, the global Artificial Intelligence In Genomics market, which was estimated at about 200 (USD Million) in 2019 and is predicted to accrue earnings worth 1,745 (USD Million) by 2026, is set to record a CAGR of nearly over 52.1% during 2020-2026.   

North America is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to surge in the allocation of funds by private firms & public sector for AI research activities to determine or find its myriad uses in the field of genomics. Apart from this, favorable government schemes for promoting the use of precision medicine in the countries such as the U.S. will drive the regional market growth over the assessment period.

The key players profiled in the report include are Deep Genomics (Canada), IBM (U.S.), FDNA Inc. (U.S.), Microsoft (U.S.), Genoox Ltd. (U.S.), NVIDIA Corporation (U.S.), Lifebit (UK), BenevolentAI (UK), Cambridge Cancer Genomics (UK), Fabric Genomics Inc. (U.S.), Verge Genomics (U.S.), SOPHiA GENETICS (U.S.), Freenome Holdings, Inc. (U.S.), MolecularMatch Inc. (U.S.), Data4Cure Inc. (U.S.), PrecisionLife Ltd (UK), Diploid (Belgium), and DNAnexus Inc. (U.S.).

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