
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Omics Studies Market Snapshot
Chapter 4. Global AI in Omics Studies 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, 2024 & 2034
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Offering:
5.2.1. Software,
5.2.2. Services
Chapter 6. Market Segmentation 2: by Technology Platform Estimates & Trend Analysis
6.1. by Technology Platform & Market Share, 2024 & 2034
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Technology Platform:
6.2.1. Sequencing
6.2.2. Epigenomics
6.2.3. Proteomics
6.2.4. Metabolomics
6.2.5. Transcriptomics
6.2.6. among others
Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2024 & 2034
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by Application:
7.2.1. Oncology
7.2.2. Infectious Diseases
7.2.3. Neurology
7.2.4. Cardiovascular Diseases
7.2.5. Immunology
7.2.6. Pharmacogenomics
7.2.7. among others
Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis
8.1. by End-User & Market Share, 2024 & 2034
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2021 to 2034 for the following by End-User:
8.2.1. Academic and Research Institutes
8.2.2. Biopharmaceutical Company
8.2.3. Others (Contract Research Organizations, among others)
Chapter 9. AI in Omics Studies Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. North America
9.1.1. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.1.2. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.1.3. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.1.4. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.1.5. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.2. Europe
9.2.1. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.2.2. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.2.3. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.4. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.2.5. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.3. Asia Pacific
9.3.1. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.3.2. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.3.3. Asia-Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.4. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.3.5. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.4. Latin America
9.4.1. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.4.2. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.4.3. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.4.4. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.4.5. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
9.5. Middle East & Africa
9.5.1. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2021-2034
9.5.2. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2021-2034
9.5.3. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.4. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2021-2034
9.5.5. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034
Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles
10.2.1. Thermo Fisher Scientific
10.2.2. Agilent Technologies
10.2.3. Illumina
10.2.4. BGI Genomics
10.2.5. Dassault Systèmes
10.2.6. Qiagen
10.2.7. Waters Corporation
10.2.8. GE Healthcare
10.2.9. Amazon Web Services Inc
10.2.10. Bruker
10.2.11. Danaher
This study employed a multi-step, mixed-method research approach that integrates:
This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.
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.
Secondary data for the market study was gathered from multiple credible sources, including:
These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.
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.
Primary interviews for this study involved:
Interviews were conducted via:
Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.
All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.
The data validation process included:
This ensured that the dataset used for modelling was clean, robust, and reliable.
The bottom-up approach involved aggregating segment-level data, such as:
This method was primarily used when detailed micro-level market data were available.
The top-down approach used macro-level indicators:
This approach was used for segments where granular data were limited or inconsistent.
To ensure accuracy, a triangulated hybrid model was used. This included:
This multi-angle validation yielded the final market size.
Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.
Given inherent uncertainties, three scenarios were constructed:
Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.