Personalized Medicine Biomarkers Market by Type -
Personalized Medicine Biomarkers Market by Application -
Personalized Medicine Biomarkers Market by End User -
Personalized Medicine Biomarkers Market by Region-
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & Africa-
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global Personalized Medicine Biomarkers Market Snapshot
Chapter 4. Global Personalized Medicine Biomarkers 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. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2024-2031
4.8. Global Personalized Medicine Biomarkers Market Penetration & Growth Prospect Mapping (US$ Mn), 2023-2031
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2023)
4.10. Use/impact of AI on Personalized Medicine Biomarkers Industry Trends
Chapter 5. Personalized Medicine Biomarkers Market Segmentation 1: By Type, Estimates & Trend Analysis
5.1. Market Share by Type, 2023 & 2031
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Type:
5.2.1. Genetic Biomarkers
5.2.2. Protein Biomarkers
5.2.3. Metabolite Biomarkers
Chapter 6. Personalized Medicine Biomarkers Market Segmentation 2: By Application, Estimates & Trend Analysis
6.1. Market Share by Application, 2023 & 2031
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following Application:
6.2.1. Oncology
6.2.2. Neurology
6.2.3. Diabetes
6.2.4. Autoimmune Diseases
6.2.5. Cardiology
6.2.6. Others
Chapter 7. Personalized Medicine Biomarkers Market Segmentation 3: By End User, Estimates & Trend Analysis
7.1. Market Share by End User, 2023 & 2031
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2019 to 2031 for the following End Users:
7.2.1. Hospitals
7.2.2. Diagnostic Laboratories
7.2.3. Research Institutions
Chapter 8. Personalized Medicine Biomarkers Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. Global Personalized Medicine Biomarkers Market, Regional Snapshot 2023 & 2031
8.2. North America
8.2.1. North America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.2.1.1. US
8.2.1.2. Canada
8.2.2. North America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031
8.2.3. North America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031
8.2.4. North America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End User, 2019-2031
8.3. Europe
8.3.1. Europe Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.3.1.1. Germany
8.3.1.2. U.K.
8.3.1.3. France
8.3.1.4. Italy
8.3.1.5. Spain
8.3.1.6. Rest of Europe
8.3.2. Europe Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031
8.3.3. Europe Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031
8.3.4. Europe Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End User, 2019-2031
8.4. Asia Pacific
8.4.1. Asia Pacific Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.4.1.1. India
8.4.1.2. China
8.4.1.3. Japan
8.4.1.4. Australia
8.4.1.5. South Korea
8.4.1.6. Hong Kong
8.4.1.7. Southeast Asia
8.4.1.8. Rest of Asia Pacific
8.4.2. Asia Pacific Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031
8.4.3. Asia Pacific Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts By Application, 2019-2031
8.4.4. Asia Pacific Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End User, 2019-2031
8.5. Latin America
8.5.1. Latin America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Country, 2019-2031
8.5.1.1. Brazil
8.5.1.2. Mexico
8.5.1.3. Rest of Latin America
8.5.2. Latin America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031
8.5.3. Latin America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031
8.5.4. Latin America Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End User, 2019-2031
8.6. Middle East & Africa
8.6.1. Middle East & Africa Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031
8.6.1.1. GCC Countries
8.6.1.2. Israel
8.6.1.3. South Africa
8.6.1.4. Rest of Middle East and Africa
8.6.2. Middle East & Africa Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Type, 2019-2031
8.6.3. Middle East & Africa Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031
8.6.4. Middle East & Africa Personalized Medicine Biomarkers Market Revenue (US$ Million) Estimates and Forecasts by End User, 2019-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Agilent Technologies, Inc.
9.2.1.1. Business Overview
9.2.1.2. Key Product/Service Offerings
9.2.1.3. Financial Performance
9.2.1.4. Geographical Presence
9.2.1.5. Recent Developments with Business Strategy
9.2.2. Bio-Rad Laboratories, Inc.
9.2.3. Foundation Medicine, Inc.
9.2.4. Genomic Health, Inc
9.2.5. Guardant Health, Inc.
9.2.6. Illumina, Inc.
9.2.7. Luminex Corporation
9.2.8. Merck KGaA
9.2.9. Myriad Genetics, Inc
9.2.10. QIAGEN N.V
9.2.11. Roche Diagnostics
9.2.12. Siemens Healthineers
9.2.13. Thermo Fisher Scientific Inc.
9.2.14. Coriell Life Sciences.
9.2.15. Laboratory Corporation of America Holding
9.2.16. NeoGenomics Laboratories
9.2.17. Quest Diagnostics Incorporated
9.2.18. Other Prominent Players
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.