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.
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.
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
- U.S.
- Canada
- Mexico
- 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
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Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: AI IN GENOMICS MARKET, BY OFFERING
CHAPTER 5: AI IN GENOMICS MARKET, BY TECHNOLOGY
CHAPTER 6: AI IN GENOMICS MARKET, BY APPLICATION
CHAPTER 7: AI IN GENOMICS MARKET, BY END USER
CHAPTER 8: AI IN GENOMICS MARKET, BY REGION
CHAPTER 9: COMPETITIVE LANDSCAPE
CHAPTER 10: COMPANY PROFILES
List of Tables
List of Figures
Companies Mentioned
- IBM Corporation
- Deep Genomics
- Thermo Fisher Scientific Inc.
- Illumina, Inc.
- Data4Cure, Inc
- BenevolentAI
- Microsoft Corporation
- NVIDIA Corporation (Mellanox Technologies)
- Sophia Genetics
- Freenome Holdings, Inc
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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