Global Al in Omics Studies Market Size was valued at USD 823.5 Mn in 2024 and is predicted to reach USD 12505.3 Mn by the year 2034 at a 31.4% CAGR during the forecast period for 2025-2034.
The market for Al in omics investigations has grown significantly in recent years and is becoming more and more recognised globally. The omics sector is seeing a surge in AI due to the growing demand for pharmaceuticals and rising costs. The omics industry's need for AI is primarily being driven by two factors: its cost-effectiveness and the speed at which AI technology is developing.
As a result of these developments in AI technology, new software solutions with AI capabilities are being created especially for the genomics sector. We are able to examine and handle genetic data more successfully because to these more advanced and effective technologies. Numerous manual processes in omics investigations may be automated with the use of AI algorithms and software, which will save labour costs and increase the efficiency of the process.
The Al in omics studies market can be segmented based on offering, technology platform, application and end-user. By offering, the market is segmented into software and services. By technology platform, the market is segmented into sequencing, epigenomics, proteomics, metabolomics and others (transcriptomics, etc.). By application, the market is segmented into oncology, infectious diseases, neurology, cardiovascular diseases, immunology, and others (pharmacogenomics, among others). By end user, the market is segmented into academic and research institutes, biopharmaceutical company, and others (contract research organizations, among others).
The greatest percentage is expected to be accounted for by oncology over the predicted period. Research and development of medications aimed at underserved patient groups and high-value indications are funded by this sector. In addition to having a sizable market potential and providing a sizable return on investment, these objectives should make use of digital technologies like as computer learning and artificial intelligence to improve patient monitoring and selection, optimise dosage, and improve clinical trial design. Additionally, these technologies may be used to find novel indications and possible therapeutic targets.
The ability to investigate individual cells is what makes epigenomics the market leader. The resolution level it offers was previously unattainable, making it feasible to get deeper understanding of disease processes and cell behaviour. Because they make it possible to identify uncommon cell types and biomarkers that mass sequencing would miss, they have the potential to completely transform personalised medicine by enabling more accurate diagnosis and focused treatments. It has the potential to provide new therapies for a number of ailments and offer a more thorough knowledge of biological processes. Isolating and sequencing individual cells has become simpler because to developments in microfluidics, imaging, and sequencing technology.
The AI in omics studies market has expanded across North America, Latin America, Europe, the Middle East & Africa, and Asia-Pacific. In the global Al in omics studies market, artificial intelligence is most prevalent in North America. It points to a number of factors, including the prevalence of biotech and pharmaceutical businesses, supportive laws for advances in genomics and artificial intelligence, cutting-edge research facilities, and substantial financing for these fields. In addition, other significant factors propelling the regional market include the availability of enormous data resources, the growth in partnerships between academic institutions, technology companies, and industry players, and the adoption of cutting-edge technologies like artificial intelligence and their integration into clinical applications & genomics research.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 823.5 Mn |
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Revenue Forecast In 2034 |
USD 12505.3 Mn |
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Growth Rate CAGR |
CAGR of 31.4% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Million and CAGR from 2025 to 2034 |
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Historic Year |
2021 to 2024 |
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Forecast Year |
2025-2034 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Offering, By Technology Platform, By Application, By End-user and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea |
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Competitive Landscape |
Thermo Fisher Scientific, Agilent Technologies, Illumina, BGI Genomics, Dassault Systemes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc, Bruker, Danaher and Other Prominent Players. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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Pricing And Available Payment Methods |
Explore pricing alternatives that are customized to your particular study requirements. |
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Omics Studies Market Snapshot
Chapter 4. Global AI in Omics Studies Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Offering Estimates & Trend Analysis
5.1. by Offering & Market Share, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Offering:
5.2.1. Software,
5.2.2. Services
Chapter 6. Market Segmentation 2: by Technology Platform Estimates & Trend Analysis
6.1. by Technology Platform & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Technology Platform:
6.2.1. Sequencing
6.2.2. Epigenomics
6.2.3. Proteomics
6.2.4. Metabolomics
6.2.5. Transcriptomics
6.2.6. among others
Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
7.2.1. Oncology
7.2.2. Infectious Diseases
7.2.3. Neurology
7.2.4. Cardiovascular Diseases
7.2.5. Immunology
7.2.6. Pharmacogenomics
7.2.7. among others
Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis
8.1. by End-User & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:
8.2.1. Academic and Research Institutes
8.2.2. Biopharmaceutical Company
8.2.3. Others (Contract Research Organizations, among others)
Chapter 9. AI in Omics Studies Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.1.2. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.1.3. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.1.4. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.1.5. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.2.2. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.2.3. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.4. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.2.5. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.3.2. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.3.3. Asia-Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.4. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.3.5. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.4. Latin America
9.4.1. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.4.2. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.4.3. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.4. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.4.5. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.5.2. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.5.3. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.4. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.5.5. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Thermo Fisher Scientific
10.2.2. Agilent Technologies
10.2.3. Illumina
10.2.4. BGI Genomics
10.2.5. Dassault Systèmes
10.2.6. Qiagen
10.2.7. Waters Corporation
10.2.8. GE Healthcare
10.2.9. Amazon Web Services Inc
10.2.10. Bruker
10.2.11. Danaher
Al in Omics Studies Market - By Offering:
Al in Omics Studies Market - By Technology Platform:
Al in Omics Studies Market - By Application:
Al in Omics Studies Market - By End User:
Al in Omics Studies Market - By Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.
Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.
Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.
Secondary research
The secondary research sources that are typically mentioned to include, but are not limited to:
The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista
Primary Research:
Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies
The contributors who typically take part in such a course include, but are not limited to:
Data Modeling and Analysis:
In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.
The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.
To know more about the research methodology used for this study, kindly contact us/click here.
