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Global AI In Genomics Market Size study & Forecast, by Component, By Technology, By Functionality, By Application, By End-use, and Regional Analysis, 2022-2029

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ksm 23.05.25

Global AI In Genomics Market is valued at approximately USD 341.03 million in 2021 and is anticipated to grow with a healthy growth rate of more than 46.0% over the forecast period 2022-2029. Artificial intelligence (AI) is used in genomics to create computer systems that can carry out tasks such as mapping genomes. The structure, evolution, and function of genetic material are also explored with AI more quickly than with human participation. Although the primary goal of AI algorithms is to replicate human intelligence, clinical genomics is geared at performing genomic analysis, which phenotype-to-genotype correspondence, comprises variant calling, genome annotation, and genome annotation. Moreover, AI techniques can assist in immediately predicting DNA or protein structure that does not feature handcrafting. The increasing government investments, the surge in the adoption of AI in precision medicine, the reduction in cost and time for genome sequencing, and rising genomic datasets are the key factors that are fostering market growth across the globe.

Moreover, the rising investment in research of personalized medicine is also fueling the market demand at a substantial rate. As per Statista, in 2019, the global market for personalized medicine market was estimated to be worth around USD 1,980 billion, which is projected to reach USD 2,770 billion by the year 2022. Consequentially, the growing focus on the research of personalized medicine is associated with the growth of the AI In Genomics Market. In addition, the rising emphasis on developing human-aware AI systems, as well as the increasing advancement in the field of gene therapy are presenting various lucrative opportunities over the forecasting years. However, the dearth of skilled AI professionals and stringent regulatory framework are hindering market growth over the forecast period of 2022-2029.

The key regions considered for the Global AI In Genomics Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. North America dominated the market in terms of revenue, owing to the growing investment in R&D, rising advancements in AI-powered solutions for genomics, and the introduction of new software and tools for genomic data analysis. Whereas, Asia Pacific is expected to grow at the highest growth rate over the forecasting period. Factors such as the growing population, rising healthcare spending, increasing focus on precision medicine, and rapid advances in genomics technology are burgeoning the market growth in the forecasting years.

Major market players included in this report are:

  • IBM Corporation
  • Microsoft Corporation
  • NVIDIA Corporation
  • DEEP GENOMICS
  • Data4Cure, Inc.
  • Freenome Holdings, Inc.
  • Thermo Fisher Scientific, Inc.
  • Illumina, Inc.
  • SOPHiA GENETICS
  • BenevolentAI

Recent Developments in the Market:

  • In May 2021, the Adventist Church-run non-profit healthcare system AdventHealth and health intelligence company Sema4 entered into a partnership agreement. In this agreement, AdventHealth's genomic and clinical data are supposed to be combined using Sema4's software and tools. With investments in genomics research, genetic testing, counselling, and sequencing, AdventHealth was projected to increase its emphasis on genomics and personalised health as a result of this collaboration.
  • In October 2020, NVIDIA announced a partnership with an AI-powered lab for the development of new drugs and vaccines. The GSK centre accessed more precise genetic and clinical data by combining AI technology, biological data, and contemporary computing platforms. Through NVIDIA Clara discovery, a collection of optimised computational drug discovery tools and frameworks, NVIDIA provided its experience in GPU optimisation and high-speed computational pipeline development.

Global AI In Genomics Market Report Scope:

  • Historical Data 2019-2020-2021
  • Base Year for Estimation 2021
  • Forecast period 2022-2029
  • Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Segments Covered Component, Technology, Functionality, Application, End-use, Region
  • Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
  • Customization Scope Free report customization (equivalent up to 8 analyst's working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below.

By Component:

  • Hardware
  • Software
  • Services

By Technology:

  • Machine Learning
  • Computer Vision

By Functionality:

  • Genome Sequencing
  • Gene Editing
  • Others

By Application:

  • Drug Discovery & Development
  • Precision Medicine
  • Diagnostics
  • Others

By End-use:

  • Pharmaceutical and Biotech Companies
  • Healthcare Providers
  • Research Centers
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Rest of the World

Table of Contents

Chapter 1. Executive Summary

  • 1.1. Market Snapshot
  • 1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Million)
    • 1.2.1. AI In Genomics Market, by Region, 2019-2029 (USD Million)
    • 1.2.2. AI In Genomics Market, by Component, 2019-2029 (USD Million)
    • 1.2.3. AI In Genomics Market, by Technology, 2019-2029 (USD Million)
    • 1.2.4. AI In Genomics Market, by Functionality, 2019-2029 (USD Million)
    • 1.2.5. AI In Genomics Market, by Application, 2019-2029 (USD Million)
    • 1.2.6. AI In Genomics Market, by End-use, 2019-2029 (USD Million)
  • 1.3. Key Trends
  • 1.4. Estimation Methodology
  • 1.5. Research Assumption

Chapter 2. Global AI In Genomics Market Definition and Scope

  • 2.1. Objective of the Study
  • 2.2. Market Definition & Scope
    • 2.2.1. Scope of the Study
    • 2.2.2. Industry Evolution
  • 2.3. Years Considered for the Study
  • 2.4. Currency Conversion Rates

Chapter 3. Global AI In Genomics Market Dynamics

  • 3.1. AI In Genomics Market Impact Analysis (2019-2029)
    • 3.1.1. Market Drivers
      • 3.1.1.1. Rising investment for research in the field of personalized medicine
      • 3.1.1.2. Increasing government investments
    • 3.1.2. Market Challenges
      • 3.1.2.1. Dearth of skilled AI professionals
      • 3.1.2.2. Stringent regulatory framework
    • 3.1.3. Market Opportunities
      • 3.1.3.1. Rising emphasis on developing human-aware AI systems
      • 3.1.3.2. Increasing advancement in the field of gene therapy

Chapter 4. Global AI In Genomics Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Futuristic Approach to Porter's 5 Force Model (2019-2029)
  • 4.3. PEST Analysis
    • 4.3.1. Political
    • 4.3.2. Economical
    • 4.3.3. Social
    • 4.3.4. Technological
  • 4.4. Top investment opportunity
  • 4.5. Top winning strategies
  • 4.6. Industry Experts Prospective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Risk Assessment: COVID-19 Impact

  • 5.1. Assessment of the overall impact of COVID-19 on the industry
  • 5.2. Pre COVID-19 and post COVID-19 Market scenario

Chapter 6. Global AI In Genomics Market, by Component

  • 6.1. Market Snapshot
  • 6.2. Global AI In Genomics Market by Component, Performance - Potential Analysis
  • 6.3. Global AI In Genomics Market Estimates & Forecasts by Component 2019-2029 (USD Million)
  • 6.4. AI In Genomics Market, Sub Segment Analysis
    • 6.4.1. Hardware
    • 6.4.2. Software
    • 6.4.3. Services

Chapter 7. Global AI In Genomics Market, by Technology

  • 7.1. Market Snapshot
  • 7.2. Global AI In Genomics Market by Technology, Performance - Potential Analysis
  • 7.3. Global AI In Genomics Market Estimates & Forecasts by Technology 2019-2029 (USD Million)
  • 7.4. AI In Genomics Market, Sub Segment Analysis
    • 7.4.1. Machine Learning
    • 7.4.2. Computer Vision

Chapter 8. Global AI In Genomics Market, by Functionality

  • 8.1. Market Snapshot
  • 8.2. Global AI In Genomics Market by Functionality, Performance - Potential Analysis
  • 8.3. Global AI In Genomics Market Estimates & Forecasts by Functionality 2019-2029 (USD Million)
  • 8.4. AI In Genomics Market, Sub Segment Analysis
    • 8.4.1. Genome Sequencing
    • 8.4.2. Gene Editing
    • 8.4.3. Others

Chapter 9. Global AI In Genomics Market, by Application

  • 9.1. Market Snapshot
  • 9.2. Global AI In Genomics Market by Application, Performance - Potential Analysis
  • 9.3. Global AI In Genomics Market Estimates & Forecasts by Application 2019-2029 (USD Million)
  • 9.4. AI In Genomics Market, Sub Segment Analysis
    • 9.4.1. Drug Discovery & Development
    • 9.4.2. Precision Medicine
    • 9.4.3. Diagnostics
    • 9.4.4. Others

Chapter 10. Global AI In Genomics Market, by End-use

  • 10.1. Market Snapshot
  • 10.2. Global AI In Genomics Market by End-use, Performance - Potential Analysis
  • 10.3. Global AI In Genomics Market Estimates & Forecasts by End-use 2019-2029 (USD Million)
  • 10.4. AI In Genomics Market, Sub Segment Analysis
    • 10.4.1. Pharmaceutical and Biotech Companies
    • 10.4.2. Healthcare Providers
    • 10.4.3. Research Centers
    • 10.4.4. Others

Chapter 11. Global AI In Genomics Market, Regional Analysis

  • 11.1. AI In Genomics Market, Regional Market Snapshot
  • 11.2. North America AI In Genomics Market
    • 11.2.1. U.S. AI In Genomics Market
      • 11.2.1.1. Component breakdown estimates & forecasts, 2019-2029
      • 11.2.1.2. Technology breakdown estimates & forecasts, 2019-2029
      • 11.2.1.3. Functionality breakdown estimates & forecasts, 2019-2029
      • 11.2.1.4. Application breakdown estimates & forecasts, 2019-2029
      • 11.2.1.5. End-use breakdown estimates & forecasts, 2019-2029
    • 11.2.2. Canada AI In Genomics Market
  • 11.3. Europe AI In Genomics Market Snapshot
    • 11.3.1. U.K. AI In Genomics Market
    • 11.3.2. Germany AI In Genomics Market
    • 11.3.3. France AI In Genomics Market
    • 11.3.4. Spain AI In Genomics Market
    • 11.3.5. Italy AI In Genomics Market
    • 11.3.6. Rest of Europe AI In Genomics Market
  • 11.4. Asia-Pacific AI In Genomics Market Snapshot
    • 11.4.1. China AI In Genomics Market
    • 11.4.2. India AI In Genomics Market
    • 11.4.3. Japan AI In Genomics Market
    • 11.4.4. Australia AI In Genomics Market
    • 11.4.5. South Korea AI In Genomics Market
    • 11.4.6. Rest of Asia Pacific AI In Genomics Market
  • 11.5. Latin America AI In Genomics Market Snapshot
    • 11.5.1. Brazil AI In Genomics Market
    • 11.5.2. Mexico AI In Genomics Market
    • 11.5.3. Rest of Latin America AI In Genomics Market
  • 11.6. Rest of The World AI In Genomics Market

Chapter 12. Competitive Intelligence

  • 12.1. Top Market Strategies
  • 12.2. Company Profiles
    • 12.2.1. IBM Corporation
      • 12.2.1.1. Key Information
      • 12.2.1.2. Overview
      • 12.2.1.3. Financial (Subject to Data Availability)
      • 12.2.1.4. Product Summary
      • 12.2.1.5. Recent Developments
    • 12.2.2. Microsoft Corporation
    • 12.2.3. NVIDIA Corporation
    • 12.2.4. DEEP GENOMICS
    • 12.2.5. Data4Cure, Inc.
    • 12.2.6. Freenome Holdings, Inc.
    • 12.2.7. Thermo Fisher Scientific Inc.
    • 12.2.8. Illumina, Inc.
    • 12.2.9. SOPHiA GENETICS
    • 12.2.10. BenevolentAI

Chapter 13. Research Process

  • 13.1. Research Process
    • 13.1.1. Data Mining
    • 13.1.2. Analysis
    • 13.1.3. Market Estimation
    • 13.1.4. Validation
    • 13.1.5. Publishing
  • 13.2. Research Attributes
  • 13.3. Research Assumption
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