Artificial Intelligence in Genomics Market Size, Share and Trends Analysis 2026 to 2035

Report Id: 1122 Pages: 180 Last Updated: 12 January 2026 Format: PDF / PPT / Excel / Power BI
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Artificial Intelligence (AI) in Genomics Market Segmentation

Global Artificial Intelligence (AI) in Genomics Market by Offering

Artificial Intelligence in Genomics Market Segmentation Analysis

Global Artificial Intelligence (AI) in Genomics Market by Applications

  • Diagnostics
  • Drug Discovery & Development
  • Precision Medicine
  • Agriculture & animal Research
  • Other Applications

Global Artificial Intelligence (AI) in Genomics Market by Technology

  • Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforcement Learning
  • Unsupervised Learning
  • Other Machine Learning Technologies
  • Other Technologies

Global Artificial Intelligence (AI) in Genomics Market by Functionality

  • Genome Sequencing
  • Gene Editing
  • Clinical Workflows
  • Predictive Genetic Testing & Preventive Medicine 

Global Artificial Intelligence (AI) in Genomics Market by End-Users

  • Pharmaceutical & Biotech Companies
  • Healthcare Providers
  • Research Centers, Academic Institutes & Government Organizations
  • Other End-Users

Global Artificial Intelligence in Genomics Market Based on Region

Europe Artificial Intelligence in Genomics Market

  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

North America Artificial Intelligence in Genomics Market

  • U.S.
  • Canada

Asia Pacific Artificial Intelligence in Genomics Market

  • India
  • China
  • Japan
  • South Korea
  • Australia & New Zealand

Latin America Artificial Intelligence in Genomics Market

  • Brazil
  • Mexico
  • Rest of Latin America

Middle East & Africa Artificial Intelligence in Genomics Market

  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence (AI) in Genomics Market Snapshot

Chapter 4. Global Artificial Intelligence (AI) in Genomics 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, 2025 & 2035
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Offering:
5.2.1. Software
5.2.2. Services

Chapter 6. Market Segmentation 2: By Technology Estimates & Trend Analysis

6.1. By Technology & Market Share, 2025 & 2035
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Technology:
6.2.1. Machine Learning
6.2.2. Deep Learning
6.2.3. Supervised Learning
6.2.4. Reinforcement Learning
6.2.5. Unsupervised Learning
6.2.6. Other Machine Learning Technologies
6.2.7. Other Technologies 

Chapter 7. Market Segmentation 3: By Application Estimates & Trend Analysis

7.1. By Application & Market Share, 2025 & 2035
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Application:
7.2.1. Diagnostics
7.2.2. Drug Discovery & Development
7.2.3. Precision Medicine
7.2.4. Agriculture & animal Research
7.2.5. Other Applications

Chapter 8. Market Segmentation 4: By Functionality Estimates & Trend Analysis

8.1. By Functionality & Market Share, 2025 & 2035
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By Functionality:
8.2.1. Genome Sequencing
8.2.2. Gene Editing
8.2.3. Clinical Workflows
8.2.4. Predictive Genetic Testing & Preventive Medicine 

Chapter 9. Market Segmentation 5: By End User Estimates & Trend Analysis

9.1. By End User & Market Share, 2025 & 2035
9.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2022 to 2035 for the following By End User:
9.2.1. Pharmaceutical & Biotech Companies
9.2.2. Healthcare Providers
9.2.3. Research Centers, Academic Institutes & Government Organizations
9.2.4. Other End-Users 

Chapter 10. Artificial Intelligence (AI) in Genomics Market Segmentation 6: Regional Estimates & Trend Analysis

10.1. North America
10.1.1. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Offering, 2022 - 2035
10.1.2. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Technology, 2022 - 2035
10.1.3. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Application, 2022 - 2035
10.1.4. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By Functionality, 2022 - 2035
10.1.5. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts By End User, 2022 - 2035
10.1.6. North America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) estimates and forecasts by country, 2022 - 2035

10.2. Europe
10.2.1. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, 2022 - 2035
10.2.2. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, 2022 - 2035
10.2.3. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, 2022 - 2035
10.2.4. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, 2022 - 2035
10.2.5. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, 2022 - 2035
10.2.6. Europe Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2022 - 2035

10.3. Asia Pacific
10.3.1. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, 2022 - 2035
10.3.2. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, 2022 - 2035
10.3.3. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, 2022 - 2035
10.3.4. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, 2022 - 2035
10.3.5. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, 2022 - 2035
10.3.6. Asia Pacific Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2022 - 2035

10.4. Latin America
10.4.1. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, (US$ Million) 2022 - 2035
10.4.2. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, (US$ Million) 2022 - 2035
10.4.3. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, (US$ Million) 2022 - 2035
10.4.4. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, (US$ Million) 2022 - 2035
10.4.5. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, (US$ Million) 2022 - 2035
10.4.6. Latin America Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2022 - 2035

10.5. Middle East & Africa
10.5.1. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Offering, (US$ Million) 2022 - 2035
10.5.2. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Technology, (US$ Million) 2022 - 2035
10.5.3. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Application, (US$ Million) 2022 - 2035
10.5.4. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By Functionality, (US$ Million) 2022 - 2035
10.5.5. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) By End User, (US$ Million) 2022 - 2035
10.5.6. Middle East & Africa Artificial Intelligence (AI) in Genomics Market revenue (US$ Million) by country, 2022 - 2035

Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles

11.2.1. AI Therapeutics, Inc.,
11.2.2. Ares Genetics GmbH,
11.2.3. BenevolentAI,
11.2.4. BioSymetrics,
11.2.5. Cambridge Cancer Genomics (UK),
11.2.6. Clover Therapeutics,
11.2.7. Congenica Ltd,
11.2.8. Coral Genomics,
11.2.9. CureMatch, Inc.,
11.2.10. Cyclica Inc.,
11.2.11. Data4Cure, Inc,
11.2.12. Deep Genomics,
11.2.13. Desktop Genetics Ltd.,
11.2.14. Diploid (Belgium),
11.2.15. DNAnexus,
11.2.16. Emedgene,
11.2.17. Empiric Logic,
11.2.18. Engine Biosciences Pte. Ltd.,
11.2.19. Fabric Genomics, Inc.,
11.2.20. FDNA Inc. (US),
11.2.21. Freenome Holdings, Inc.,
11.2.22. Genoox, Ltd.,
11.2.23. IBM (US),
11.2.24. LifebitAI,
11.2.25. Microsoft (Project Hanover),
11.2.26. MolecularMatch Inc. (US),
11.2.27. NVIDIA Corporation (US),
11.2.28. PrecisionLife Ltd,
11.2.29. Predictive Oncology,
11.2.30. SOPHiA GENETICS, Inc.,
11.2.31. Trace Genomics,
11.2.32. Verge Genomics,
11.2.33. WhiteLab Genomics,
11.2.34. WuXi Nextcode Genomics

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Artificial Intelligence in Genomics Market Size is valued at 1,032.90 Million in 2025 and is predicted to reach 57,744.31 Million by the year 2035.

The Artificial Intelligence in Genomics Market is expected to grow at a 50.8 % CAGR during the forecast period for 2026-2035.

AI Therapeutics, Inc., Ares Genetics GmbH, BenevolentAI, BioSymetrics, Cambridge Cancer Genomics (UK), Clover Therapeutics, Congenica Ltd, Others

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