Selected research
Industry Research
AI and Machine Learning in Genomics Industry Research Report 2026
Market perspective
The global AI and Machine Learning in Genomics market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI and Machine Learning in Genomics market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI and Machine Learning in Genomics market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI and Machine Learning in Genomics market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI and Machine Learning in Genomics include Sophia Genetics, BenevolentAI, Illumina, Inc., Thermo Fisher Scientific Inc., Mellanox Technologies, Microsoft Corporation, Data4Cure, Inc, Freenome Holdings, Inc and Deep Genomics and among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI and Machine Learning in Genomics market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI and Machine Learning in Genomics.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI and Machine Learning in Genomics Market by Company
Sophia Genetics
BenevolentAI
Illumina, Inc.
Thermo Fisher Scientific Inc.
Mellanox Technologies
Microsoft Corporation
Data4Cure, Inc
Freenome Holdings, Inc
Deep Genomics
IBM Corporation
AI and Machine Learning in Genomics Segment by Type
Machine Learning
Computer Vision
AI and Machine Learning in Genomics Segment by Application
Drug Discovery and Development
Precision Medicine
Diagnostics
Other
AI and Machine Learning in Genomics Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI and Machine Learning in Genomics market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI and Machine Learning in Genomics and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in volume and value), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market
5. This report helps stakeholders to gain insights into which regions to target globally
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI and Machine Learning in Genomics.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 3: Provides the analysis of various market segments product types, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 6: Detailed analysis of AI and Machine Learning in Genomics companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Machine Learning
- Computer Vision
Applications
- Drug Discovery and Development
- Precision Medicine
- Diagnostics
- Other
Companies covered
- Sophia Genetics
- BenevolentAI
- Illumina, Inc.
- Thermo Fisher Scientific Inc.
- Mellanox Technologies
- Microsoft Corporation
- Data4Cure, Inc
- Freenome Holdings, Inc
- Deep Genomics
- IBM Corporation
Inside the report.
1 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI and Machine Learning in Genomics by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Machine Learning
- 2.2.3 Computer Vision
- 2.3 AI and Machine Learning in Genomics by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Drug Discovery and Development
- 2.3.3 Precision Medicine
- 2.3.4 Diagnostics
- 2.3.5 Other
- 2.4 Assumptions and Limitations
3 AI and Machine Learning in Genomics Breakdown Data by Type
- 3.1 Global AI and Machine Learning in Genomics Historic Market Size by Type (2021-2026)
- 3.2 Global AI and Machine Learning in Genomics Forecasted Market Size by Type (2027-2032)
4 AI and Machine Learning in Genomics Breakdown Data by Application
- 4.1 Global AI and Machine Learning in Genomics Historic Market Size by Application (2021-2026)
- 4.2 Global AI and Machine Learning in Genomics Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI and Machine Learning in Genomics Market Perspective (2021-2032)
- 5.2 Global AI and Machine Learning in Genomics Growth Trends by Region
- 5.2.1 Global AI and Machine Learning in Genomics Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI and Machine Learning in Genomics Historic Market Size by Region (2021-2026)
- 5.2.3 AI and Machine Learning in Genomics Forecasted Market Size by Region (2027-2032)
- 5.3 AI and Machine Learning in Genomics Market Dynamics
- 5.3.1 AI and Machine Learning in Genomics Industry Trends
- 5.3.2 AI and Machine Learning in Genomics Market Drivers
- 5.3.3 AI and Machine Learning in Genomics Market Challenges
- 5.3.4 AI and Machine Learning in Genomics Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI and Machine Learning in Genomics Players by Revenue
- 6.1.1 Global Top AI and Machine Learning in Genomics Players by Revenue (2021-2026)
- 6.1.2 Global AI and Machine Learning in Genomics Revenue Market Share by Players (2021-2026)
- 6.2 Global AI and Machine Learning in Genomics Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI and Machine Learning in Genomics Head Office and Area Served
- 6.4 Global AI and Machine Learning in Genomics Players, Product Type & Application
- 6.5 Global AI and Machine Learning in Genomics Manufacturers Established Date
- 6.6 Global AI and Machine Learning in Genomics Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI and Machine Learning in Genomics Market Size (2021-2032)
- 7.2 North America AI and Machine Learning in Genomics Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI and Machine Learning in Genomics Market Size by Country (2021-2026)
- 7.4 North America AI and Machine Learning in Genomics Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI and Machine Learning in Genomics Market Size (2021-2032)
- 8.2 Europe AI and Machine Learning in Genomics Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI and Machine Learning in Genomics Market Size by Country (2021-2026)
- 8.4 Europe AI and Machine Learning in Genomics Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI and Machine Learning in Genomics Market Size (2021-2032)
- 9.2 Asia-Pacific AI and Machine Learning in Genomics Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI and Machine Learning in Genomics Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI and Machine Learning in Genomics Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI and Machine Learning in Genomics Market Size (2021-2032)
- 10.2 South America AI and Machine Learning in Genomics Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI and Machine Learning in Genomics Market Size by Country (2021-2026)
- 10.4 South America AI and Machine Learning in Genomics Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI and Machine Learning in Genomics Market Size (2021-2032)
- 11.2 Middle East & Africa AI and Machine Learning in Genomics Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI and Machine Learning in Genomics Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI and Machine Learning in Genomics Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Sophia Genetics
- 12.1.1 Sophia Genetics Company Information
- 12.1.2 Sophia Genetics Business Overview
- 12.1.3 Sophia Genetics Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.1.4 Sophia Genetics AI and Machine Learning in Genomics Product Portfolio
- 12.1.5 Sophia Genetics Recent Developments
- 12.2 BenevolentAI
- 12.2.1 BenevolentAI Company Information
- 12.2.2 BenevolentAI Business Overview
- 12.2.3 BenevolentAI Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.2.4 BenevolentAI AI and Machine Learning in Genomics Product Portfolio
- 12.2.5 BenevolentAI Recent Developments
- 12.3 Illumina, Inc.
- 12.3.1 Illumina, Inc. Company Information
- 12.3.2 Illumina, Inc. Business Overview
- 12.3.3 Illumina, Inc. Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.3.4 Illumina, Inc. AI and Machine Learning in Genomics Product Portfolio
- 12.3.5 Illumina, Inc. Recent Developments
- 12.4 Thermo Fisher Scientific Inc.
- 12.4.1 Thermo Fisher Scientific Inc. Company Information
- 12.4.2 Thermo Fisher Scientific Inc. Business Overview
- 12.4.3 Thermo Fisher Scientific Inc. Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.4.4 Thermo Fisher Scientific Inc. AI and Machine Learning in Genomics Product Portfolio
- 12.4.5 Thermo Fisher Scientific Inc. Recent Developments
- 12.5 Mellanox Technologies
- 12.5.1 Mellanox Technologies Company Information
- 12.5.2 Mellanox Technologies Business Overview
- 12.5.3 Mellanox Technologies Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.5.4 Mellanox Technologies AI and Machine Learning in Genomics Product Portfolio
- 12.5.5 Mellanox Technologies Recent Developments
- 12.6 Microsoft Corporation
- 12.6.1 Microsoft Corporation Company Information
- 12.6.2 Microsoft Corporation Business Overview
- 12.6.3 Microsoft Corporation Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.6.4 Microsoft Corporation AI and Machine Learning in Genomics Product Portfolio
- 12.6.5 Microsoft Corporation Recent Developments
- 12.7 Data4Cure, Inc
- 12.7.1 Data4Cure, Inc Company Information
- 12.7.2 Data4Cure, Inc Business Overview
- 12.7.3 Data4Cure, Inc Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.7.4 Data4Cure, Inc AI and Machine Learning in Genomics Product Portfolio
- 12.7.5 Data4Cure, Inc Recent Developments
- 12.8 Freenome Holdings, Inc
- 12.8.1 Freenome Holdings, Inc Company Information
- 12.8.2 Freenome Holdings, Inc Business Overview
- 12.8.3 Freenome Holdings, Inc Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.8.4 Freenome Holdings, Inc AI and Machine Learning in Genomics Product Portfolio
- 12.8.5 Freenome Holdings, Inc Recent Developments
- 12.9 Deep Genomics
- 12.9.1 Deep Genomics Company Information
- 12.9.2 Deep Genomics Business Overview
- 12.9.3 Deep Genomics Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.9.4 Deep Genomics AI and Machine Learning in Genomics Product Portfolio
- 12.9.5 Deep Genomics Recent Developments
- 12.10 IBM Corporation
- 12.10.1 IBM Corporation Company Information
- 12.10.2 IBM Corporation Business Overview
- 12.10.3 IBM Corporation Revenue in AI and Machine Learning in Genomics Business (2021-2026)
- 12.10.4 IBM Corporation AI and Machine Learning in Genomics Product Portfolio
- 12.10.5 IBM Corporation Recent Developments
13 Report Conclusion
14 Disclaimer
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