Product Code: A11556
The global AI in genomics market was valued at $ 0.34 billion in 2021 and is projected to reach $9.9 billion by 2031, growing at a CAGR of 40.6% from 2022 to 2031.
Genomics is a branch of molecular biology that focuses on the study of the entire genetic material (DNA) of organisms. It involves the analysis of the structure, function, and evolution of genomes, including the identification of genes, their regulatory elements, and how they interact with each other. The field of genomics has grown rapidly over the last few decades due to advances in technology that have made it possible to sequence and analyze DNA more quickly and accurately. With the advent of high-throughput sequencing technologies, it is now possible to sequence entire genomes at a fraction of the cost and time that used to be required earlier. AI in the genomics market refers to the use of artificial intelligence (AI) technologies to support genomic research and applications. With the vast amount of genomic data being generated, AI tools have become increasingly important for analyzing and interpreting this data
The driving factors for AI in the genomics market are advancements in AI technologies, growth in demand for personalized medicine, increase in adoption of genomics in research and healthcare, and rise in investment in AI in genomics. Advancements in AI technologies are the result of the development of machine learning, natural language processing, and deep learning has enabled researchers to analyze and interpret genomic data more accurately and efficiently. As AI technologies continue to improve, their application in genomics is expected to become even more widespread. Personalized medicine involves developing treatment plans tailored to individual patients based on their genomic data. As the demand for personalized medicine continues to grow, the use of AI tools in genomics is becoming increasingly important for identifying genetic variations that may be relevant to a patient's disease or condition. For instance, according to the 2022 report by National Library for Medicine, rheumatoid arthritis and psoriasis as the inflammatory disease, in addition to Alzheimer's disease are diseases having high unmet needs for personalized medicine from the viewpoints of disease mechanisms, diagnostic biomarkers, therapeutic drugs with diagnostic markers and treatment satisfaction.
Furthermore, genomics is becoming an increasingly important tool in both research and healthcare, as it provides important insights into the genetic basis of diseases and other conditions. This is driving the need for more advanced AI tools and technologies to analyze and interpret genomic data. However, factors such as high-cost data quality issues and limited availability of skilled professionals are expected to restrain the growth of AI in the genomics market.
The AI in the genomics market is segmented into offering, technology, application, end-user, and region. Based on offering, the market is segmented into software, services and hardware. By technology, the market is segmented into machine learning and computer vision. By application, the market is segmented into drug discovery & development, precision medicine, diagnostics, and others. By end user, the market is segmented into pharmaceutical and biotech companies, healthcare providers, research centers, and others. Region-wise, the market is analyzed across North America (the U.S., Canada, and Mexico), Europe (Germany, France, the UK, Italy, Spain, and the rest of Europe), Asia-Pacific (Japan, China, Australia, India, South Korea, and rest of Asia-Pacific), and LAMEA (Brazil, South Africa, Saudi Arabia, and rest of LAMEA).
Major key players that operate in the AI in genomics market are: Microsoft, IBM, NVIDIA Corporation, Deep Genomics, DATA4CURE, INC, Freenome holdings, Inc, Thermo fisher scientific, Illumina, Inc., Sophia Genetics, and BenevolentAI.
Key Benefits For Stakeholders
- This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in genomics market analysis from 2021 to 2031 to identify the prevailing ai in genomics market opportunities.
- Market research is offered along with information related to key drivers, restraints, and opportunities.
- Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
- An in-depth analysis of the ai in genomics market segmentation assists to determine the prevailing market opportunities.
- Major countries in each region are mapped according to their revenue contribution to the global market.
- Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
- The report includes analysis of the regional as well as global ai in genomics market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Technology
- Machine Learning
- Computer Vision
By Offering
- Hardware
- Software
- Services
By Application
- Drug Discovery and Development
- Precision Medicine
- Diagnostics
- Others
By End User
- Pharmaceutical and Biotech Companies
- Healthcare Providers
- Research Centers
By Region
- North America
- Europe
- Germany
- France
- UK
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- Japan
- China
- Australia
- India
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Saudi Arabia
- South Africa
- Rest of LAMEA
Key Market Players:
- IBM Corporation
- Deep Genomics
- Thermo Fisher Scientific Inc.
- Illumina, Inc.
- Data4Cure, Inc
- BenevolentAI
- Microsoft Corporation
- NVIDIA Corporation (Mellanox Technologies)
- Sophia Genetics
- Freenome Holdings, Inc
TABLE OF CONTENTS
CHAPTER 1: INTRODUCTION
- 1.1. Report description
- 1.2. Key market segments
- 1.3. Key benefits to the stakeholders
- 1.4. Research Methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
- 3.1. Market definition and scope
- 3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
- 3.3. Porter's five forces analysis
- 3.3.1. Bargaining power of suppliers
- 3.3.2. Bargaining power of buyers
- 3.3.3. Threat of substitutes
- 3.3.4. Threat of new entrants
- 3.3.5. Intensity of rivalry
- 3.4. Market dynamics
- 3.4.1. Drivers
- 3.4.1.1. Advancements in AI technologies
- 3.4.1.2. Rising adoption of genomics in research and healthcare
- 3.4.1.3. Increase ing demand for personalized medicine
- 3.4.2. Restraints
- 3.4.2.1. Limited availability of skilled professionals
- 3.4.2.2. Data quality issues
- 3.4.3. Opportunities
- 3.4.3.1. Development of human aware AI
- 3.5. COVID-19 Impact Analysis on the market
CHAPTER 4: AI IN GENOMICS MARKET, BY OFFERING
- 4.1. Overview
- 4.1.1. Market size and forecast
- 4.2. Hardware
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
- 4.3. Software
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country
- 4.4. Services
- 4.4.1. Key market trends, growth factors and opportunities
- 4.4.2. Market size and forecast, by region
- 4.4.3. Market share analysis by country
CHAPTER 5: AI IN GENOMICS MARKET, BY TECHNOLOGY
- 5.1. Overview
- 5.1.1. Market size and forecast
- 5.2. Machine Learning
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
- 5.3. Computer Vision
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
CHAPTER 6: AI IN GENOMICS MARKET, BY APPLICATION
- 6.1. Overview
- 6.1.1. Market size and forecast
- 6.2. Drug Discovery and Development
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
- 6.3. Precision Medicine
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
- 6.4. Diagnostics
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
- 6.5. Others
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
CHAPTER 7: AI IN GENOMICS MARKET, BY END USER
- 7.1. Overview
- 7.1.1. Market size and forecast
- 7.2. Pharmaceutical and Biotech Companies
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by region
- 7.2.3. Market share analysis by country
- 7.3. Healthcare Providers
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by region
- 7.3.3. Market share analysis by country
- 7.4. Research Centers
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by region
- 7.4.3. Market share analysis by country
CHAPTER 8: AI IN GENOMICS MARKET, BY REGION
- 8.1. Overview
- 8.1.1. Market size and forecast By Region
- 8.2. North America
- 8.2.1. Key trends and opportunities
- 8.2.2. Market size and forecast, by Offering
- 8.2.3. Market size and forecast, by Technology
- 8.2.4. Market size and forecast, by Application
- 8.2.5. Market size and forecast, by End User
- 8.2.6. Market size and forecast, by country
- 8.2.6.1. U.S.
- 8.2.6.1.1. Key market trends, growth factors and opportunities
- 8.2.6.1.2. Market size and forecast, by Offering
- 8.2.6.1.3. Market size and forecast, by Technology
- 8.2.6.1.4. Market size and forecast, by Application
- 8.2.6.1.5. Market size and forecast, by End User
- 8.2.6.2. Canada
- 8.2.6.2.1. Key market trends, growth factors and opportunities
- 8.2.6.2.2. Market size and forecast, by Offering
- 8.2.6.2.3. Market size and forecast, by Technology
- 8.2.6.2.4. Market size and forecast, by Application
- 8.2.6.2.5. Market size and forecast, by End User
- 8.2.6.3. Mexico
- 8.2.6.3.1. Key market trends, growth factors and opportunities
- 8.2.6.3.2. Market size and forecast, by Offering
- 8.2.6.3.3. Market size and forecast, by Technology
- 8.2.6.3.4. Market size and forecast, by Application
- 8.2.6.3.5. Market size and forecast, by End User
- 8.3. Europe
- 8.3.1. Key trends and opportunities
- 8.3.2. Market size and forecast, by Offering
- 8.3.3. Market size and forecast, by Technology
- 8.3.4. Market size and forecast, by Application
- 8.3.5. Market size and forecast, by End User
- 8.3.6. Market size and forecast, by country
- 8.3.6.1. Germany
- 8.3.6.1.1. Key market trends, growth factors and opportunities
- 8.3.6.1.2. Market size and forecast, by Offering
- 8.3.6.1.3. Market size and forecast, by Technology
- 8.3.6.1.4. Market size and forecast, by Application
- 8.3.6.1.5. Market size and forecast, by End User
- 8.3.6.2. France
- 8.3.6.2.1. Key market trends, growth factors and opportunities
- 8.3.6.2.2. Market size and forecast, by Offering
- 8.3.6.2.3. Market size and forecast, by Technology
- 8.3.6.2.4. Market size and forecast, by Application
- 8.3.6.2.5. Market size and forecast, by End User
- 8.3.6.3. UK
- 8.3.6.3.1. Key market trends, growth factors and opportunities
- 8.3.6.3.2. Market size and forecast, by Offering
- 8.3.6.3.3. Market size and forecast, by Technology
- 8.3.6.3.4. Market size and forecast, by Application
- 8.3.6.3.5. Market size and forecast, by End User
- 8.3.6.4. Italy
- 8.3.6.4.1. Key market trends, growth factors and opportunities
- 8.3.6.4.2. Market size and forecast, by Offering
- 8.3.6.4.3. Market size and forecast, by Technology
- 8.3.6.4.4. Market size and forecast, by Application
- 8.3.6.4.5. Market size and forecast, by End User
- 8.3.6.5. Spain
- 8.3.6.5.1. Key market trends, growth factors and opportunities
- 8.3.6.5.2. Market size and forecast, by Offering
- 8.3.6.5.3. Market size and forecast, by Technology
- 8.3.6.5.4. Market size and forecast, by Application
- 8.3.6.5.5. Market size and forecast, by End User
- 8.3.6.6. Rest of Europe
- 8.3.6.6.1. Key market trends, growth factors and opportunities
- 8.3.6.6.2. Market size and forecast, by Offering
- 8.3.6.6.3. Market size and forecast, by Technology
- 8.3.6.6.4. Market size and forecast, by Application
- 8.3.6.6.5. Market size and forecast, by End User
- 8.4. Asia-Pacific
- 8.4.1. Key trends and opportunities
- 8.4.2. Market size and forecast, by Offering
- 8.4.3. Market size and forecast, by Technology
- 8.4.4. Market size and forecast, by Application
- 8.4.5. Market size and forecast, by End User
- 8.4.6. Market size and forecast, by country
- 8.4.6.1. Japan
- 8.4.6.1.1. Key market trends, growth factors and opportunities
- 8.4.6.1.2. Market size and forecast, by Offering
- 8.4.6.1.3. Market size and forecast, by Technology
- 8.4.6.1.4. Market size and forecast, by Application
- 8.4.6.1.5. Market size and forecast, by End User
- 8.4.6.2. China
- 8.4.6.2.1. Key market trends, growth factors and opportunities
- 8.4.6.2.2. Market size and forecast, by Offering
- 8.4.6.2.3. Market size and forecast, by Technology
- 8.4.6.2.4. Market size and forecast, by Application
- 8.4.6.2.5. Market size and forecast, by End User
- 8.4.6.3. Australia
- 8.4.6.3.1. Key market trends, growth factors and opportunities
- 8.4.6.3.2. Market size and forecast, by Offering
- 8.4.6.3.3. Market size and forecast, by Technology
- 8.4.6.3.4. Market size and forecast, by Application
- 8.4.6.3.5. Market size and forecast, by End User
- 8.4.6.4. India
- 8.4.6.4.1. Key market trends, growth factors and opportunities
- 8.4.6.4.2. Market size and forecast, by Offering
- 8.4.6.4.3. Market size and forecast, by Technology
- 8.4.6.4.4. Market size and forecast, by Application
- 8.4.6.4.5. Market size and forecast, by End User
- 8.4.6.5. South Korea
- 8.4.6.5.1. Key market trends, growth factors and opportunities
- 8.4.6.5.2. Market size and forecast, by Offering
- 8.4.6.5.3. Market size and forecast, by Technology
- 8.4.6.5.4. Market size and forecast, by Application
- 8.4.6.5.5. Market size and forecast, by End User
- 8.4.6.6. Rest of Asia-Pacific
- 8.4.6.6.1. Key market trends, growth factors and opportunities
- 8.4.6.6.2. Market size and forecast, by Offering
- 8.4.6.6.3. Market size and forecast, by Technology
- 8.4.6.6.4. Market size and forecast, by Application
- 8.4.6.6.5. Market size and forecast, by End User
- 8.5. LAMEA
- 8.5.1. Key trends and opportunities
- 8.5.2. Market size and forecast, by Offering
- 8.5.3. Market size and forecast, by Technology
- 8.5.4. Market size and forecast, by Application
- 8.5.5. Market size and forecast, by End User
- 8.5.6. Market size and forecast, by country
- 8.5.6.1. Brazil
- 8.5.6.1.1. Key market trends, growth factors and opportunities
- 8.5.6.1.2. Market size and forecast, by Offering
- 8.5.6.1.3. Market size and forecast, by Technology
- 8.5.6.1.4. Market size and forecast, by Application
- 8.5.6.1.5. Market size and forecast, by End User
- 8.5.6.2. Saudi Arabia
- 8.5.6.2.1. Key market trends, growth factors and opportunities
- 8.5.6.2.2. Market size and forecast, by Offering
- 8.5.6.2.3. Market size and forecast, by Technology
- 8.5.6.2.4. Market size and forecast, by Application
- 8.5.6.2.5. Market size and forecast, by End User
- 8.5.6.3. South Africa
- 8.5.6.3.1. Key market trends, growth factors and opportunities
- 8.5.6.3.2. Market size and forecast, by Offering
- 8.5.6.3.3. Market size and forecast, by Technology
- 8.5.6.3.4. Market size and forecast, by Application
- 8.5.6.3.5. Market size and forecast, by End User
- 8.5.6.4. Rest of LAMEA
- 8.5.6.4.1. Key market trends, growth factors and opportunities
- 8.5.6.4.2. Market size and forecast, by Offering
- 8.5.6.4.3. Market size and forecast, by Technology
- 8.5.6.4.4. Market size and forecast, by Application
- 8.5.6.4.5. Market size and forecast, by End User
CHAPTER 9: COMPETITIVE LANDSCAPE
- 9.1. Introduction
- 9.2. Top winning strategies
- 9.3. Product Mapping of Top 10 Player
- 9.4. Competitive Dashboard
- 9.5. Competitive Heatmap
- 9.6. Top player positioning, 2021
CHAPTER 10: COMPANY PROFILES
- 10.1. Microsoft Corporation
- 10.1.1. Company overview
- 10.1.2. Key Executives
- 10.1.3. Company snapshot
- 10.1.4. Operating business segments
- 10.1.5. Product portfolio
- 10.1.6. Business performance
- 10.1.7. Key strategic moves and developments
- 10.2. IBM Corporation
- 10.2.1. Company overview
- 10.2.2. Key Executives
- 10.2.3. Company snapshot
- 10.2.4. Operating business segments
- 10.2.5. Product portfolio
- 10.2.6. Business performance
- 10.2.7. Key strategic moves and developments
- 10.3. NVIDIA Corporation (Mellanox Technologies)
- 10.3.1. Company overview
- 10.3.2. Key Executives
- 10.3.3. Company snapshot
- 10.3.4. Operating business segments
- 10.3.5. Product portfolio
- 10.3.6. Business performance
- 10.3.7. Key strategic moves and developments
- 10.4. Deep Genomics
- 10.4.1. Company overview
- 10.4.2. Key Executives
- 10.4.3. Company snapshot
- 10.4.4. Operating business segments
- 10.4.5. Product portfolio
- 10.4.6. Key strategic moves and developments
- 10.5. Data4Cure, Inc
- 10.5.1. Company overview
- 10.5.2. Key Executives
- 10.5.3. Company snapshot
- 10.5.4. Operating business segments
- 10.5.5. Product portfolio
- 10.6. Freenome Holdings, Inc
- 10.6.1. Company overview
- 10.6.2. Key Executives
- 10.6.3. Company snapshot
- 10.6.4. Operating business segments
- 10.6.5. Product portfolio
- 10.7. Thermo Fisher Scientific Inc.
- 10.7.1. Company overview
- 10.7.2. Key Executives
- 10.7.3. Company snapshot
- 10.7.4. Operating business segments
- 10.7.5. Product portfolio
- 10.7.6. Business performance
- 10.8. Illumina, Inc.
- 10.8.1. Company overview
- 10.8.2. Key Executives
- 10.8.3. Company snapshot
- 10.8.4. Operating business segments
- 10.8.5. Product portfolio
- 10.8.6. Business performance
- 10.8.7. Key strategic moves and developments
- 10.9. Sophia Genetics
- 10.9.1. Company overview
- 10.9.2. Key Executives
- 10.9.3. Company snapshot
- 10.9.4. Operating business segments
- 10.9.5. Product portfolio
- 10.9.6. Business performance
- 10.10. BenevolentAI
- 10.10.1. Company overview
- 10.10.2. Key Executives
- 10.10.3. Company snapshot
- 10.10.4. Operating business segments
- 10.10.5. Product portfolio
- 10.10.6. Key strategic moves and developments