AI in Digital Genome Market Size is valued at US$ 1.2 Bn in 2024 and is predicted to reach US$ 21.9 Bn by the year 2034 at an 34.6% CAGR during the forecast period for 2025-2034.
AI in digital genome refers to the use of artificial intelligence technologies to analyse, interpret, and manage vast genomic data, enabling faster insights into genetic variations, disease prediction, personalised medicine, and advanced biomedical research. The AI in the digital genome market is witnessing strong growth as healthcare systems become increasingly focused on personalised treatments. Artificial intelligence allows the rapid processing of large genomic datasets, accurately pinpointing genetic mutations and disease predispositions.
This function enables clinicians to tailor treatments to an individual's genetic makeup, thereby improving therapeutic outcomes while reducing toxicities. The increased adoption of artificial intelligence algorithms in genomics is meant to accelerate drug discovery processes and precision medicine strategies. As medical centres and research institutions adopt AI-based sequencing and interpretation tools, the demand for customised and cost-effective genomic solutions continues to drive global market growth.
The AI market in the digital genome sector is undergoing robust growth, primarily driven by the increasing prevalence of chronic diseases, including cancer, diabetes, and cardiovascular disorders. These conditions need quicker and more precise genetic analysis for early detection and personalized treatment. AI algorithms enable the rapid interpretation of massive genomic datasets, assisting in the identification of disease-linked mutations and predicting patient responses to therapies.
The integration of AI enhances accuracy, reduces analysis time, and lowers costs, making genome sequencing more accessible. The growing demand for precision medicine is significantly driving the adoption of AI-driven digital genome solutions worldwide.
Some of the Key Players in the AI in Digital Genome Market:
· BenevolentAl (UK)
· Deep Genomics (Canada)
· Fabric Genomics (US)
· IBM (US)
· Microsoft (US)
· MolecularMatch (US)
· NVIDIA (US)
· PrecisionLife (UK)
· SOPHIA GENETICS (Switzerland)
· Verge Genomics (US)
The AI in digital genome market is segmented by type of offering, by type of technology, by application area, by end user, and by region. By type of offering, the market is segmented into software and services. By type of technology, the market is segmented into machine learning and computer vision. By type of functionality, the market is segmented into genome sequencing, and gene editing. By application area, the market is segmented into diagnosis, drug discovery and development, precision medicine, agriculture & animal research, and other applications. By end-user, the market is segmented into pharmaceutical & biotechnology companies, and research organizations.
In 2024, the software is expected to hold a significant market share over the projected period due to the growing demand for precision medicine and genomic data analysis. AI-powered software enables the faster and more accurate interpretation of vast genomic datasets, facilitating disease prediction, personalised treatment plans, and drug discovery. Integration with cloud platforms and bioinformatics tools expands efficiency and scalability. The increasing adoption of AI-driven analytics by research institutions, healthcare providers, and pharmaceutical firms is a major driver, accelerating innovation and reducing time-to-insight in genomic research.
The AI in the digital genome market is dominated by machine learning as researchers and healthcare providers leverage AI to analyse massive genomic datasets efficiently. Machine learning algorithms accelerate the identification of genetic variations, disease markers, and personalised treatment strategies. This allows faster drug discovery, precision medicine, and predictive diagnostics. The increasing demand for personalised healthcare, decreasing costs of genome sequencing, and the integration of AI-driven analytics into research and clinical workflows are major drivers propelling the adoption of AI in the digital genome market.
North America dominates the market for AI in digital genomics as a result of the region's combination of artificial intelligence and genomics for faster, more accurate gene analysis. AI enables precision medicine by forecasting disease risks, discovering therapeutic targets, and adapting interventions to specific patient needs. The existence of top biotech businesses, cutting-edge research infrastructure, and significant healthcare expenditure in the region hastens adoption. Furthermore, increasing demand for genomic data interpretation and government initiatives to support AI-driven healthcare breakthroughs are important drivers of market growth.
Furthermore, Europe's AI in the Digital Genome market is being fueled by the region's growing usage of AI-powered genomic analysis for personalized treatment and disease prevention. AI speeds up genome sequencing, data analysis, and predictive modeling, providing speedier insights into genetic abnormalities and treatment reactions. Europe's strong biotechnology and healthcare infrastructure, combined with government support for precision medicine efforts, drives industry growth. The growing demand for personalized medicines, as well as developments in AI algorithms for large-scale genomic data processing, are major regional drivers.
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Report Attribute |
Specifications |
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Market Size Value In 2024 |
USD 1.2 Bn |
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Revenue Forecast In 2034 |
USD 21.9 Bn |
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Growth Rate CAGR |
CAGR of 34.6% from 2025 to 2034 |
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Quantitative Units |
Representation of revenue in US$ Bn 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 type of offering, by type of technology, by application area, 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, Germany, The UK, France, Italy, Spain, Rest of Europe, China, Japan, India, South Korea, Southeast Asia, Rest of Asia Pacific, Brazil, Argentina, Mexico, Rest of Latin America, GCC Countries, South Africa, Rest of the Middle East and Africa |
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Competitive Landscape |
BenevolentAl (UK), Deep Genomics (Canada), Fabric Genomics (US), IBM (US), Microsoft (US), MolecularMatch (US), NVIDIA (US), PrecisionLife (UK), SOPHIA GENETICS (Switzerland), and Verge Genomics (US). |
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Customization Scope |
Free customization report with the procurement of the report, Modifications to the regional and segment scope. 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 Digital Genome Market Snapshot
Chapter 4. Global AI in Digital Genome 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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.9. Use/impact of AI on AI in Digital Genome Market Industry Trends
4.10. Global AI in Digital Genome Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
Chapter 5. AI in Digital Genome Market Segmentation 1: By Offering, Estimates & Trend Analysis
5.1. Market Share by Offering, 2024 & 2034
5.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Offering:
5.2.1. Software
5.2.2. Services
Chapter 6. AI in Digital Genome Market Segmentation 2: By Technology, Estimates & Trend Analysis
6.1. Market Share by Technology, 2024 & 2034
6.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technology:
6.2.1. Machine Learning
6.2.2. Computer Vision
Chapter 7. AI in Digital Genome Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:
7.2.1. Diagnosis
7.2.2. Drug Discovery and Development
7.2.3. Precision Medicine
7.2.4. Agriculture & Animal Research
7.2.5. Other Applications
Chapter 8. AI in Digital Genome Market Segmentation 4: By Functionality, Estimates & Trend Analysis
8.1. Market Share by Functionality, 2024 & 2034
8.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following Functionality:
8.2.1. Genome Sequencing
8.2.2. Gene Editing
Chapter 9. AI in Digital Genome Market Segmentation 5: By End User, Estimates & Trend Analysis
9.1. Market Share by End User, 2024 & 2034
9.2. Market Size Revenue (US$ Million) & Forecasts and Trend Analyses, 2021 to 2034 for the following End User:
9.2.1. Pharmaceutical and Biotechnology Companies
9.2.2. Research Organizations
Chapter 10. AI in Digital Genome Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. Global AI in Digital Genome Market, Regional Snapshot 2024 & 2034
10.2. North America
10.2.1. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.2.1.1. US
10.2.1.2. Canada
10.2.2. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
10.2.3. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.2.4. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.2.5. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
10.2.6. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
10.2.7. North America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
10.3. Europe
10.3.1. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.3.1.1. Germany
10.3.1.2. U.K.
10.3.1.3. France
10.3.1.4. Italy
10.3.1.5. Spain
10.3.1.6. Rest of Europe
10.3.2. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
10.3.3. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.3.4. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.3.5. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
10.3.6. Europe AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
10.4. Asia Pacific
10.4.1. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.4.1.1. India
10.4.1.2. China
10.4.1.3. Japan
10.4.1.4. Australia
10.4.1.5. South Korea
10.4.1.6. Hong Kong
10.4.1.7. Southeast Asia
10.4.1.8. Rest of Asia Pacific
10.4.2. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
10.4.3. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.4.4. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.4.5. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
10.4.6. Asia Pacific AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
10.5. Latin America
10.5.1. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034
10.5.1.1. Brazil
10.5.1.2. Mexico
10.5.1.3. Rest of Latin America
10.5.2. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
10.5.3. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.5.4. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.5.5. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
10.5.6. Latin America AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
10.6. Middle East & Africa
10.6.1. Middle East & Africa Wind Turbine Rotor Blade Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
10.6.1.1. GCC Countries
10.6.1.2. Israel
10.6.1.3. South Africa
10.6.1.4. Rest of Middle East and Africa
10.6.2. Middle East & Africa AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
10.6.3. Middle East & Africa AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Technology, 2021-2034
10.6.4. Middle East & Africa AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
10.6.5. Middle East & Africa AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by Functionality, 2021-2034
10.6.6. Middle East & Africa AI in Digital Genome Market Revenue (US$ Million) Estimates and Forecasts by End User, 2021-2034
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. BenevolentAl (UK)
11.2.1.1. Business Overview
11.2.1.2. Key Product /Service Overview
11.2.1.3. Financial Performance
11.2.1.4. Geographical Presence
11.2.1.5. Recent Developments with Business Strategy
11.2.2. Deep Genomics (Canada)
11.2.3. Fabric Genomics (US)
11.2.4. IBM (US)
11.2.5. Microsoft (US)
11.2.6. MolecularMatch (US)
11.2.7. NVIDIA (US)
11.2.8. PrecisionLife (UK)
11.2.9. SOPHIA GENETICS (Switzerland)
11.2.10. Verge Genomics (US)
AI in Digital Genome Market by Type of Offering-
· Software
· Services
AI in Digital Genome Market by Type of Technology-
· Machine Learning
· Computer Vision
AI in Digital Genome Market by Type of Functionality-
· Machine Learning
· Computer Vision
AI in Digital Genome Market by Application Area-
· Diagnosis
· Drug Discovery and Development
· Precision Medicine
· Agriculture & Animal Research
· Other Applications
AI in Digital Genome Market by End-User-
· Pharmaceutical & Biotechnology Companies
· Research Organizations
AI in Digital Genome Market by Region-
North America-
· The US
· Canada
Europe-
· Germany
· The UK
· France
· Italy
· Spain
· Rest of Europe
Asia-Pacific-
· China
· Japan
· India
· South Korea
· Southeast Asia
· Rest of Asia Pacific
Latin America-
· Brazil
· Argentina
· Mexico
· Rest of Latin America
Middle East & Africa-
· GCC Countries
· South Africa
· Rest of the Middle East and 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.
