AI 기반 마이크로바이옴 플랫폼 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI-based microbiome platforms market is expected to grow from USD 0.61 billion in 2025 to USD 0.67 billion in 2026 and is forecasted to reach USD 1.19 billion by 2031 at 12.17% CAGR over 2026-2031.

This report is Segmented by Microbiome Type (Gut Microbiome, and Others), Deployment Mode (Cloud-Based, On-Premises, Hybrid), Application (Drug Discovery and Development, and Others), End-User (Pharma and Biotechnology Companies, and Others), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, South America). The Market Forecasts are Provided in Terms of Value (USD).

Global AI-Based Microbiome Platforms Market Trends and Insights

Commercial Adoption of AI-Driven Strain-Design Tools

Automated strain-design platforms are turning a long wet-lab cycle into a scalable commercial service inside the AI-based microbiome platforms market. Ginkgo Bioworks stated in May 2026 that its Nebula autonomous lab in Boston is expanding to more than 100 robotic array configurations and operates around the clock, with experiments feeding AI models used in drug discovery and industrial biotechnology. This matters because shared autonomous infrastructure lets smaller microbiome companies access strain-engineering capacity through cloud-style service models instead of building proprietary facilities. bitBiome reinforced that commercial direction when it closed an oversubscribed seed extension round in May 2026 around its microbial gene database and high-throughput strain engineering platform. The result is that strain library depth is becoming as important as algorithm quality in defining competitive advantage across the AI-based microbiome platforms market.

Rising Adoption of AI in Microbiome Analytics

AI-driven microbiome analytics has moved beyond exploratory research and now supports clinical diagnostics and precision nutrition programs across the AI-based microbiome platforms market. A review published in Gut in September 2025 showed that methods ranging from random forests to graph neural networks and large language models are being used for biomarker discovery, disease prediction, patient stratification, and personalized intervention design across gastrointestinal, oncological, and metabolic conditions. The most important change is that platforms combining metatranscriptomics with AI recommendation engines are showing better clinical usefulness than systems limited to static composition analysis. Viome's July 2025 collaboration with Microsoft was designed around the storage and memory requirements of RNA-based microbiome analysis, which signals that multi-omics AI workflows need a different infrastructure profile than standard GPU training stacks. With Viome reporting more than 1 million samples across 106 countries and over 10 quadrillion biological data points, scale advantages are widening inside the AI-based microbiome platforms market.

High Computational Infrastructure and Multi-Omics Integration Costs

The AI-based microbiome platforms market still faces a major cost barrier in production-grade compute infrastructure. Even with cheaper sequencing, end-to-end analysis that combines metagenomics, metabolomics, and transcriptomics needs high-speed storage, large memory capacity, and GPU-backed inference, which raises the total cost of deployment for laboratories without strong internal infrastructure. A capable on-premises research node can exceed USD 500,000, which pushes many users toward cloud migration but adds recurring processing costs that pressure margins in lower-volume workflows. A 2025 PMC review also highlighted batch effects across sequencing platforms as a persistent issue that requires expensive correction before AI models can be trained or applied across institutions. This makes the AI-based microbiome platforms market harder to enter for smaller biotech companies and emerging-market adopters, especially when they lack both compute scale and harmonized datasets.

Other drivers and restraints analyzed in the detailed report include:

1. Surge in Multi-Omics Data Generation and Falling Sequencing Costs
2. Regulatory Green Lights for Microbiome-Based Therapeutics
3. Uncertain Reimbursement Pathways for AI-Guided Interventions

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Gut microbiome held 56.24% of the AI-based microbiome platforms market in 2025, making it the largest microbiome category by revenue. The segment leads because it has the deepest body of peer-reviewed clinical research, the widest disease coverage, and the most mature AI training datasets spanning inflammatory bowel disease, metabolic disorders, and oncology response prediction. This part of the AI-based microbiome platforms industry also benefits from cumulative data advantages, because platforms with larger longitudinal datasets can generate stronger signatures for metabolic and immune scoring.

Japan is building a parallel position in gut-focused analytics inside the AI-based microbiome platforms market. Kirin Holdings announced in February 2026 that Cowellnex and Metagen had launched joint research using Japan's largest collection of shotgun metagenomic gut data to develop new test items and food recommendation algorithms tailored to Japanese microbiome characteristics. Environmental microbiome is projected to grow at 12.50% CAGR through 2031, the fastest among microbiome types, as AI tools move into soil health, aquaculture pathogen risk, and water system monitoring. Skin microbiome also gained traction through Concerto Biosciences' Skin Universe Project, while oral microbiome research published in 2025 showed metagenomic AI classifiers reaching AUC values of 0.78 to 0.89 in head and neck squamous cell carcinoma detection.

Cloud-based platforms held 59.66% of the AI-based microbiome platforms market size in 2025 and are also expected to be the fastest-growing deployment model at 13.18% CAGR through 2031. Their lead reflects workflow demands rather than simple user preference, because multi-omics datasets create large raw files that require taxonomic annotation, batch-effect correction, and AI inference at research scale.

On-premises platforms still matter in parts of the AI-based microbiome platforms market where health data sovereignty rules limit use of external servers. That is particularly relevant in regulated environments across Germany, China, and Japan, where patient microbiome data can require tighter location control. Hybrid architectures are therefore emerging as a practical middle ground, especially for large pharmaceutical groups that keep sensitive patient data on site while shifting compute-heavy model training to the cloud. This pattern helps explain why the smaller on-premises and hybrid segments can still attract large enterprise contracts in the AI-based microbiome platforms market.

Complete Report Scope:

• By Microbiome Type
  • Gut Microbiome
  • Skin Microbiome
  • Oral Microbiome
  • Environmental Microbiome
• By Depolyment Mode
  • Cloud-Based Platforms
  • On-Premises Platforms
  • Hybrid Models
• By Application
  • Drug Discovery and Development
  • Clinical Diagnostics
  • Precision Medicine and Personalized Nutrition
  • Consumer Microbiome and Wellness Platforms
  • Other Applications
• By End-User
  • Pharma and Biotechnology Companies
  • Clinical and Diagnostic Laboratories
  • Research and Academic Institutes
  • Food and Nutrition Companies
  • Other End-Users
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
  • Middle East and Africa
    • GCC
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Argentina
    • Rest of South America

Geography Analysis

North America held 50.43% of the AI-based microbiome platforms market share in 2025, making it the largest regional center for current revenue. The region leads because it combines deep pharma and biotech research budgets, strong venture backing, and an established clinical laboratory network with next-generation sequencing capability. The United States generates the largest absolute deployment revenue within the AI-based microbiome platforms market, especially across clinical diagnostics and pharmaceutical research programs. Canada and Mexico still represent smaller shares, but they are adding incremental demand through research partnerships and consumer wellness activity.

Europe held the second-largest regional position in the AI-based microbiome platforms market in 2025. Germany stands out as the main innovation hub because of its strong gastroenterology research base and its evidence-led approach to clinical microbiome diagnostics. The EU SoHO Regulation also gives the AI-based microbiome platforms market a more harmonized framework for human microbiome-derived preparations, which should reduce multi-country compliance friction as the transition period progresses.

Asia-Pacific is projected to be the fastest-growing region in the AI-based microbiome platforms market and is projected to expand at 14.42% CAGR through 2031. Japan is a major demand engine, and Kirin said in September 2025 that its MicroBio Me service was targeting 1,000 clinical facility partnerships and 5,000 cumulative tests by the end of 2026. China is strengthening the data foundation for long-term competition by building large proprietary microbiome reference assets that can support model training at local scale. Singapore and Australia are also emerging nodes for the AI-based microbiome platforms market through microbiome medicine partnerships and specialized clinical programs, while South America and the Middle East and Africa remain smaller today but are gaining attention through sequencing infrastructure tied to national health data efforts.

1. Atlas Biomed
2. Biohm Health
3. Biome Diagnostics GmbH
4. BiomeSense
5. CosmosID
6. DayTwo
7. Eagle Genomics
8. Finch Therapeutics
9. Ginkgo Bioworks
10. HelloBiome
11. Insilico Medicine
12. Metagenomi
13. Onegevity (Thorne)
14. Pendulum Therapeutics
15. Second Genome
16. Seed Health
17. Seer Bio
18. Sun Genomics
19. Synlogic
20. Viome Life Sciences

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 Introduction

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 Research Methodology

3 Executive Summary

4 Market Landscape

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Commercial Adoption of AI-Driven Strain-Design Tools
  • 4.2.2 Rising Adoption of AI In Microbiome Analytics
  • 4.2.3 Surge in Multi-Omics Data Generation and Falling Sequencing Costs
  • 4.2.4 Regulatory Green Lights for Microbiome-Based Therapeutics
  • 4.2.5 Growth in Personalized Medicine and Precision Nutrition
  • 4.2.6 Advancements in Cloud Computing and High-Performance Bioinformatics Infrastructure
• 4.3 Market Restraints
  • 4.3.1 High Computational Infrastructure and Multi-Omics Integration Costs
  • 4.3.2 Lack of Standardized Reference Databases Across Ethnic Cohorts
  • 4.3.3 Uncertain Reimbursement Pathways for AI-Guided Interventions
  • 4.3.4 Limited Clinical Validation and Model Interpretability
• 4.4 Supply/Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Suppliers
  • 4.7.3 Bargaining Power of Buyers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry

5 Market Size & Growth Forecasts (Value, USD)

• 5.1 By Microbiome Type
  • 5.1.1 Gut Microbiome
  • 5.1.2 Skin Microbiome
  • 5.1.3 Oral Microbiome
  • 5.1.4 Environmental Microbiome
• 5.2 By Depolyment Mode
  • 5.2.1 Cloud-Based Platforms
  • 5.2.2 On-Premises Platforms
  • 5.2.3 Hybrid Models
• 5.3 By Application
  • 5.3.1 Drug Discovery and Development
  • 5.3.2 Clinical Diagnostics
  • 5.3.3 Precision Medicine and Personalized Nutrition
  • 5.3.4 Consumer Microbiome and Wellness Platforms
  • 5.3.5 Other Applications
• 5.4 By End-User
  • 5.4.1 Pharma and Biotechnology Companies
  • 5.4.2 Clinical and Diagnostic Laboratories
  • 5.4.3 Research and Academic Institutes
  • 5.4.4 Food and Nutrition Companies
  • 5.4.5 Other End-Users
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 Europe
    • 5.5.2.1 Germany
    • 5.5.2.2 United Kingdom
    • 5.5.2.3 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 Australia
    • 5.5.3.5 South Korea
    • 5.5.3.6 Rest of Asia-Pacific
  • 5.5.4 Middle East and Africa
    • 5.5.4.1 GCC
    • 5.5.4.2 South Africa
    • 5.5.4.3 Rest of Middle East and Africa
  • 5.5.5 South America
    • 5.5.5.1 Brazil
    • 5.5.5.2 Argentina
    • 5.5.5.3 Rest of South America

6 Competitive Landscape

• 6.1 Market Concentration
• 6.2 Market Share Analysis
• 6.3 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products & Services, Recent Developments)
  • 6.3.1 Atlas Biomed
  • 6.3.2 Biohm Health
  • 6.3.3 Biome Diagnostics GmbH
  • 6.3.4 BiomeSense
  • 6.3.5 CosmosID
  • 6.3.6 DayTwo
  • 6.3.7 Eagle Genomics
  • 6.3.8 Finch Therapeutics
  • 6.3.9 Ginkgo Bioworks
  • 6.3.10 HelloBiome
  • 6.3.11 Insilico Medicine
  • 6.3.12 Metagenomi
  • 6.3.13 Onegevity (Thorne)
  • 6.3.14 Pendulum Therapeutics
  • 6.3.15 Second Genome
  • 6.3.16 Seed Health
  • 6.3.17 Seer Bio
  • 6.3.18 Sun Genomics
  • 6.3.19 Synlogic
  • 6.3.20 Viome Life Sciences

7 Market Opportunities & Future Outlook

• 7.1 White-space & Unmet-need Assessment