Selected research
Market Analysis & Forecast
Global AI and Machine Learning in Genomics Market Analysis and Forecast 2026-2032
Market perspective
The global AI and Machine Learning in Genomics market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI and Machine Learning in Genomics is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI and Machine Learning in Genomics is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI and Machine Learning in Genomics is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI and Machine Learning in Genomics is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies 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, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI and Machine Learning in Genomics, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI and Machine Learning in Genomics, also provides the revenue of main regions and countries. Of the upcoming market potential for AI and Machine Learning in Genomics, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI and Machine Learning in Genomics revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI and Machine Learning in Genomics market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI and Machine Learning in Genomics revenue, projected growth trends, production technology, application and end-user industry.
AI and Machine Learning in Genomics Segment 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
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
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 market size), 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: 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 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of AI and Machine Learning in Genomics in global and regional level. 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 4: Detailed analysis of AI and Machine Learning in Genomics company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI and Machine Learning in Genomics revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights 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 Market Overview
- 1.1 Product Definition
- 1.2 AI and Machine Learning in Genomics Market by Type
- 1.2.1 Global AI and Machine Learning in Genomics Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Machine Learning
- 1.2.3 Computer Vision
- 1.3 AI and Machine Learning in Genomics Market by Application
- 1.3.1 Global AI and Machine Learning in Genomics Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Drug Discovery and Development
- 1.3.3 Precision Medicine
- 1.3.4 Diagnostics
- 1.3.5 Other
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI and Machine Learning in Genomics Market Dynamics
- 2.1 AI and Machine Learning in Genomics Industry Trends
- 2.2 AI and Machine Learning in Genomics Industry Drivers
- 2.3 AI and Machine Learning in Genomics Industry Opportunities and Challenges
- 2.4 AI and Machine Learning in Genomics Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI and Machine Learning in Genomics Market Perspective (2021-2032)
- 3.2 Global AI and Machine Learning in Genomics Growth Trends by Region
- 3.2.1 Global AI and Machine Learning in Genomics Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI and Machine Learning in Genomics Market Size by Region (2021-2026)
- 3.2.3 Global AI and Machine Learning in Genomics Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI and Machine Learning in Genomics Revenue by Players
- 4.1.1 Global AI and Machine Learning in Genomics Revenue by Players (2021-2026)
- 4.1.2 Global AI and Machine Learning in Genomics Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI and Machine Learning in Genomics Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI and Machine Learning in Genomics Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI and Machine Learning in Genomics Key Players Headquarters & Area Served
- 4.4 Global AI and Machine Learning in Genomics Players, Product Type & Application
- 4.5 Global AI and Machine Learning in Genomics Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI and Machine Learning in Genomics Market CR5 and HHI
- 4.6.3 2025 AI and Machine Learning in Genomics Tier 1, Tier 2, and Tier 3
5 AI and Machine Learning in Genomics Market Size by Type
- 5.1 Global AI and Machine Learning in Genomics Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 5.3 Global AI and Machine Learning in Genomics Revenue Market Share by Type (2021-2032)
6 AI and Machine Learning in Genomics Market Size by Application
- 6.1 Global AI and Machine Learning in Genomics Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 6.3 Global AI and Machine Learning in Genomics Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Sophia Genetics
- 7.1.1 Sophia Genetics Company Information
- 7.1.2 Sophia Genetics Business Overview
- 7.1.3 Sophia Genetics AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.1.4 Sophia Genetics AI and Machine Learning in Genomics Product Portfolio
- 7.1.5 Sophia Genetics Recent Developments
- 7.2 BenevolentAI
- 7.2.1 BenevolentAI Company Information
- 7.2.2 BenevolentAI Business Overview
- 7.2.3 BenevolentAI AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.2.4 BenevolentAI AI and Machine Learning in Genomics Product Portfolio
- 7.2.5 BenevolentAI Recent Developments
- 7.3 Illumina, Inc.
- 7.3.1 Illumina, Inc. Company Information
- 7.3.2 Illumina, Inc. Business Overview
- 7.3.3 Illumina, Inc. AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.3.4 Illumina, Inc. AI and Machine Learning in Genomics Product Portfolio
- 7.3.5 Illumina, Inc. Recent Developments
- 7.4 Thermo Fisher Scientific Inc.
- 7.4.1 Thermo Fisher Scientific Inc. Company Information
- 7.4.2 Thermo Fisher Scientific Inc. Business Overview
- 7.4.3 Thermo Fisher Scientific Inc. AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.4.4 Thermo Fisher Scientific Inc. AI and Machine Learning in Genomics Product Portfolio
- 7.4.5 Thermo Fisher Scientific Inc. Recent Developments
- 7.5 Mellanox Technologies
- 7.5.1 Mellanox Technologies Company Information
- 7.5.2 Mellanox Technologies Business Overview
- 7.5.3 Mellanox Technologies AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.5.4 Mellanox Technologies AI and Machine Learning in Genomics Product Portfolio
- 7.5.5 Mellanox Technologies Recent Developments
- 7.6 Microsoft Corporation
- 7.6.1 Microsoft Corporation Company Information
- 7.6.2 Microsoft Corporation Business Overview
- 7.6.3 Microsoft Corporation AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.6.4 Microsoft Corporation AI and Machine Learning in Genomics Product Portfolio
- 7.6.5 Microsoft Corporation Recent Developments
- 7.7 Data4Cure, Inc
- 7.7.1 Data4Cure, Inc Company Information
- 7.7.2 Data4Cure, Inc Business Overview
- 7.7.3 Data4Cure, Inc AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.7.4 Data4Cure, Inc AI and Machine Learning in Genomics Product Portfolio
- 7.7.5 Data4Cure, Inc Recent Developments
- 7.8 Freenome Holdings, Inc
- 7.8.1 Freenome Holdings, Inc Company Information
- 7.8.2 Freenome Holdings, Inc Business Overview
- 7.8.3 Freenome Holdings, Inc AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.8.4 Freenome Holdings, Inc AI and Machine Learning in Genomics Product Portfolio
- 7.8.5 Freenome Holdings, Inc Recent Developments
- 7.9 Deep Genomics
- 7.9.1 Deep Genomics Company Information
- 7.9.2 Deep Genomics Business Overview
- 7.9.3 Deep Genomics AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.9.4 Deep Genomics AI and Machine Learning in Genomics Product Portfolio
- 7.9.5 Deep Genomics Recent Developments
- 7.10 IBM Corporation
- 7.10.1 IBM Corporation Company Information
- 7.10.2 IBM Corporation Business Overview
- 7.10.3 IBM Corporation AI and Machine Learning in Genomics Revenue and Gross Margin (2021-2026)
- 7.10.4 IBM Corporation AI and Machine Learning in Genomics Product Portfolio
- 7.10.5 IBM Corporation Recent Developments
8 North America
- 8.1 North America AI and Machine Learning in Genomics Revenue (2021-2032)
- 8.2 North America AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 8.2.1 North America AI and Machine Learning in Genomics Revenue by Type (2021-2026)
- 8.2.2 North America AI and Machine Learning in Genomics Revenue by Type (2027-2032)
- 8.3 North America AI and Machine Learning in Genomics Revenue Share by Type (2021-2032)
- 8.4 North America AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 8.4.1 North America AI and Machine Learning in Genomics Revenue by Application (2021-2026)
- 8.4.2 North America AI and Machine Learning in Genomics Revenue by Application (2027-2032)
- 8.5 North America AI and Machine Learning in Genomics Revenue Share by Application (2021-2032)
- 8.6 North America AI and Machine Learning in Genomics Revenue by Country
- 8.6.1 North America AI and Machine Learning in Genomics Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI and Machine Learning in Genomics Revenue by Country (2021-2026)
- 8.6.3 North America AI and Machine Learning in Genomics Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI and Machine Learning in Genomics Revenue (2021-2032)
- 9.2 Europe AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 9.2.1 Europe AI and Machine Learning in Genomics Revenue by Type (2021-2026)
- 9.2.2 Europe AI and Machine Learning in Genomics Revenue by Type (2027-2032)
- 9.3 Europe AI and Machine Learning in Genomics Revenue Share by Type (2021-2032)
- 9.4 Europe AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 9.4.1 Europe AI and Machine Learning in Genomics Revenue by Application (2021-2026)
- 9.4.2 Europe AI and Machine Learning in Genomics Revenue by Application (2027-2032)
- 9.5 Europe AI and Machine Learning in Genomics Revenue Share by Application (2021-2032)
- 9.6 Europe AI and Machine Learning in Genomics Revenue by Country
- 9.6.1 Europe AI and Machine Learning in Genomics Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI and Machine Learning in Genomics Revenue by Country (2021-2026)
- 9.6.3 Europe AI and Machine Learning in Genomics Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI and Machine Learning in Genomics Revenue (2021-2032)
- 10.2 China AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 10.2.1 China AI and Machine Learning in Genomics Revenue by Type (2021-2026)
- 10.2.2 China AI and Machine Learning in Genomics Revenue by Type (2027-2032)
- 10.3 China AI and Machine Learning in Genomics Revenue Share by Type (2021-2032)
- 10.4 China AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 10.4.1 China AI and Machine Learning in Genomics Revenue by Application (2021-2026)
- 10.4.2 China AI and Machine Learning in Genomics Revenue by Application (2027-2032)
- 10.5 China AI and Machine Learning in Genomics Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI and Machine Learning in Genomics Revenue (2021-2032)
- 11.2 Asia AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 11.2.1 Asia AI and Machine Learning in Genomics Revenue by Type (2021-2026)
- 11.2.2 Asia AI and Machine Learning in Genomics Revenue by Type (2027-2032)
- 11.3 Asia AI and Machine Learning in Genomics Revenue Share by Type (2021-2032)
- 11.4 Asia AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 11.4.1 Asia AI and Machine Learning in Genomics Revenue by Application (2021-2026)
- 11.4.2 Asia AI and Machine Learning in Genomics Revenue by Application (2027-2032)
- 11.5 Asia AI and Machine Learning in Genomics Revenue Share by Application (2021-2032)
- 11.6 Asia AI and Machine Learning in Genomics Revenue by Country
- 11.6.1 Asia AI and Machine Learning in Genomics Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI and Machine Learning in Genomics Revenue by Country (2021-2026)
- 11.6.3 Asia AI and Machine Learning in Genomics Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI and Machine Learning in Genomics Revenue (2021-2032)
- 12.2 SAMEA AI and Machine Learning in Genomics Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI and Machine Learning in Genomics Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI and Machine Learning in Genomics Revenue by Type (2027-2032)
- 12.3 SAMEA AI and Machine Learning in Genomics Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI and Machine Learning in Genomics Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI and Machine Learning in Genomics Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI and Machine Learning in Genomics Revenue by Application (2027-2032)
- 12.5 SAMEA AI and Machine Learning in Genomics Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI and Machine Learning in Genomics Revenue by Country
- 12.6.1 SAMEA AI and Machine Learning in Genomics Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI and Machine Learning in Genomics Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI and Machine Learning in Genomics Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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