암 바이오마커 시장 : 바이오마커 유형, 기술, 암 유형, 검사 유형, 용도, 최종 사용자별 - 세계 시장 예측(2026-2032년)

The Cancer Biomarkers Market is projected to grow by USD 72.41 billion at a CAGR of 11.09% by 2032.

Cancer biomarkers are measurable biological signals that help detect malignancy, classify tumors, predict treatment response, monitor minimal residual disease, and identify relapse earlier than conventional methods. Demand is anchored in the global cancer burden: IARC's GLOBOCAN 2022 estimated about 20 million new cancer cases and 9.7 million cancer deaths worldwide, underscoring the need for earlier diagnosis, precision oncology, and longitudinal disease monitoring.

The field is moving from single-analyte testing toward integrated genomic, proteomic, epigenetic, metabolomic, and immune-profile biomarkers. Clinically established examples such as EGFR, ALK, HER2, BRCA1/2, PD-L1, MSI-H/dMMR, NTRK, and circulating tumor DNA are shaping companion diagnostics, targeted therapies, immuno-oncology decisions, and value-based cancer care across solid tumors and hematologic malignancies.

Transformative Shifts in the Cancer Biomarkers Landscape

The cancer biomarkers landscape is being reshaped by next-generation sequencing, liquid biopsy, multiplex immunohistochemistry, digital pathology, and decentralized sample collection. FDA-cleared and FDA-approved comprehensive genomic profiling tests have accelerated clinical adoption by linking biomarker results to targeted therapies, tumor-agnostic indications, hereditary cancer risk assessment, and immuno-oncology decisions.

A second shift is the expansion of biomarkers beyond late-stage treatment selection. Screening, early detection, therapy monitoring, and recurrence surveillance are gaining investment as clinicians seek faster, less invasive, and more longitudinal insight into tumor biology. This shift is also increasing demand for standardized pre-analytical workflows, harmonized reporting, external quality assessment, and evidence demonstrating clinical utility in real-world oncology practice.

Cumulative Impact of Artificial Intelligence on Cancer Biomarkers

Artificial intelligence is amplifying cancer biomarker discovery by analyzing pathology images, radiology data, multi-omics datasets, and real-world clinical records at scale. Public resources such as The Cancer Genome Atlas, which profiled more than 20,000 primary cancer and matched normal samples across 33 cancer types, provide a foundation for algorithmic biomarker research and molecular subtype classification.

AI is also improving workflow efficiency in laboratories by supporting variant interpretation, image quantification, quality control, patient stratification, and trial matching. The strongest near-term opportunity is not replacing expert judgment but combining machine learning with validated assays, transparent evidence, bias monitoring, data governance, and regulated clinical decision support that can be audited in routine cancer care.

Key Regional Insights Across Cancer Biomarker Adoption

North America remains a leading region for cancer biomarkers due to high oncology R&D intensity, broad access to advanced diagnostics, active FDA pathways for companion diagnostics, and extensive clinical trial networks. The United States and Canada benefit from established molecular pathology capabilities, national cancer research infrastructure, and growing use of liquid biopsy and comprehensive genomic profiling in oncology care. Europe benefits from strong academic oncology centers, EMA-aligned precision medicine frameworks, the European Health Data Space agenda, and cross-border research initiatives, although reimbursement, laboratory accreditation, and data-governance variation still affect adoption across countries.

Asia-Pacific is the fastest-evolving opportunity as China, Japan, India, South Korea, and Australia expand genomic medicine, oncology screening, national cancer strategies, and local diagnostic manufacturing capacity. Japan and South Korea demonstrate strong regulated adoption of molecular oncology, while China and India are increasing sequencing capacity and cancer diagnostics access for large patient populations. Latin America is improving access through private oncology networks, reference laboratories, and national cancer programs in countries such as Brazil and Mexico, while affordability and uneven specialist access remain constraints. The Middle East is investing in genomic health strategies, cancer centers, and specialty care infrastructure, particularly across Gulf health systems. Africa is gradually building pathology, biobanking, molecular testing, and workforce capacity to address late-stage diagnosis and support equitable cancer biomarker implementation.

Key Group Insights for Cancer Biomarker Growth

Among regional groups, the G7 anchors high-value cancer biomarker innovation through mature regulatory agencies, research funding, advanced oncology reimbursement systems, and deep clinical trial infrastructure. The European Union supports harmonization through the In Vitro Diagnostic Regulation, cancer mission funding, cross-country data initiatives, and quality standards that create demand for validated assays and evidence-based clinical implementation. NATO countries, many of which overlap with advanced oncology economies, increasingly view resilient diagnostic supply chains, laboratory readiness, and health data security as part of broader medical preparedness.

BRICS countries represent scale, epidemiologic diversity, and cost-sensitive innovation, particularly as China and India expand sequencing capacity and Brazil, Russia, and South Africa seek broader oncology diagnostics access under differing health system constraints. ASEAN is advancing cancer diagnostics unevenly across member states, but rising private healthcare investment, medical tourism, and regional reference laboratory models are supporting biomarker testing in urban oncology centers. GCC countries are prioritizing genomics, specialty cancer care, and national precision medicine programs, creating opportunities for molecular testing, companion diagnostics, and AI-enabled oncology workflows within rapidly modernizing health systems.

Key Country Insights in Cancer Biomarkers

The United States leads in companion diagnostics, liquid biopsy adoption, oncology trials, clinical guideline integration, and payer debate over clinical utility. Canada supports precision oncology through provincial genomic testing programs and cancer agencies, while Mexico and Brazil are expanding access through public and private oncology networks but continue to face affordability, referral, and laboratory-capacity constraints. The United Kingdom leverages national health system genomics initiatives and centralized testing pathways, Germany and France maintain strong molecular oncology networks and reimbursement mechanisms, and Italy and Spain are scaling cancer biomarker testing through regional healthcare systems with growing emphasis on standardization and equitable access.

Russia has scientific capability and oncology expertise but faces access, reimbursement, and supply-chain constraints affecting advanced molecular diagnostics. China is rapidly building domestic biomarker platforms, sequencing capacity, and precision oncology programs, while India is growing high-volume molecular diagnostics supported by expanding oncology hospitals and cost-conscious test models. Japan leads in regulated precision medicine adoption, including national approaches to genomic profiling and companion diagnostics. Australia benefits from national genomics programs, strong clinical research networks, and guideline-supported cancer testing, while South Korea combines advanced digital health infrastructure, high screening participation for several cancers, and strong translational cancer research to support biomarker-enabled oncology care.

Actionable Recommendations for Cancer Biomarker Leaders

Industry leaders should prioritize analytically validated assays, clinically meaningful endpoints, and evidence packages that address regulator, oncologist, laboratory, pathologist, and payer requirements. Partnerships among diagnostic developers, therapy developers, hospitals, reference laboratories, and academic cancer centers are essential for generating real-world evidence, improving trial enrollment, and expanding patient access to guideline-recommended biomarker testing.

Organizations should also invest in interoperable data infrastructure, AI governance, biospecimen quality controls, external quality assessment, cybersecurity, and scalable reimbursement strategies. The most defensible positions will combine biomarker science, operational reliability, companion diagnostic expertise, regulatory readiness, and equitable access models across mature and emerging oncology markets.

Research Methodology

Research methodology is built from verified secondary research and evidence synthesis across public health, regulatory, scientific, and industry sources. Core references include WHO and IARC cancer statistics, FDA and EMA diagnostic and therapy guidance, NCI resources, peer-reviewed oncology literature, clinical trial registries, professional guideline publications, and publicly available regulatory documentation.

The methodology emphasizes triangulation across disease burden, regulatory approvals, biomarker utility, technology adoption, reimbursement signals, clinical guideline inclusion, laboratory capacity, and regional healthcare readiness. Insights exclude unsupported market claims and prioritize data-backed trends relevant to cancer biomarker strategy, commercialization, clinical implementation, and precision oncology adoption.

Conclusion

Cancer biomarkers are becoming central to precision oncology as healthcare systems shift from generalized cancer treatment toward molecularly guided prevention, diagnosis, therapy selection, and monitoring. The combination of validated assays, liquid biopsy, AI-enabled analytics, digital pathology, multi-omics profiling, and real-world evidence is expanding the clinical value of biomarker-driven cancer care.

Sustainable advancement will depend on clinical utility, reimbursement clarity, regulatory quality, laboratory standardization, data governance, and equitable access. Organizations that align scientific innovation with practical oncology workflows, evidence generation, and patient-centered implementation will be best positioned to lead the next phase of cancer biomarker adoption.

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Definition
• 1.3. Market Segmentation & Coverage
• 1.4. Years Considered for the Study
• 1.5. Currency Considered for the Study
• 1.6. Language Considered for the Study
• 1.7. Key Stakeholders

2. Research Methodology

• 2.1. Introduction
• 2.2. Research Design
  • 2.2.1. Primary Research
  • 2.2.2. Secondary Research
• 2.3. Research Framework
  • 2.3.1. Qualitative Analysis
  • 2.3.2. Quantitative Analysis
• 2.4. Market Size Estimation
  • 2.4.1. Top-Down Approach
  • 2.4.2. Bottom-Up Approach
• 2.5. Data Triangulation
• 2.6. Research Outcomes
• 2.7. Research Assumptions
• 2.8. Research Limitations

3. Executive Summary

• 3.1. Introduction
• 3.2. CXO Perspective
• 3.3. Market Size & Growth Trends
• 3.4. Market Share Analysis, 2025
• 3.5. FPNV Positioning Matrix, 2025
• 3.6. New Revenue Opportunities
• 3.7. Next-Generation Business Models
• 3.8. Industry Roadmap

4. Market Overview

• 4.1. Introduction
• 4.2. Industry Ecosystem & Value Chain Analysis
  • 4.2.1. Supply-Side Analysis
  • 4.2.2. Demand-Side Analysis
  • 4.2.3. Stakeholder Analysis
• 4.3. Market Dynamics
  • 4.3.1. Key Drivers
  • 4.3.2. Key Restraints
  • 4.3.3. Key Opportunities
  • 4.3.4. Key Challenges
• 4.4. Porter's Five Forces Analysis
• 4.5. PESTLE Analysis
• 4.6. Market Outlook
  • 4.6.1. Near-Term Market Outlook (0-2 Years)
  • 4.6.2. Medium-Term Market Outlook (3-5 Years)
  • 4.6.3. Long-Term Market Outlook (5-10 Years)
• 4.7. Go-to-Market Strategy

5. Market Insights

• 5.1. Consumer Insights & End-User Perspective
• 5.2. Consumer Experience Benchmarking
• 5.3. Opportunity Mapping
• 5.4. Distribution Channel Analysis
• 5.5. Pricing Trend Analysis
• 5.6. Regulatory Compliance & Standards Framework
• 5.7. ESG & Sustainability Analysis
• 5.8. Disruption & Risk Scenarios
• 5.9. Return on Investment & Cost-Benefit Analysis

6. Cumulative Impact of Artificial Intelligence 2026

7. Cancer Biomarkers Market, by Biomarker Type

• 7.1. Cellular Biomarker
• 7.2. Genetic Biomarker
  • 7.2.1. DNA Biomarker
  • 7.2.2. Epigenetic Biomarker
  • 7.2.3. RNA Biomarker
    • 7.2.3.1. Long Non-Coding RNA
    • 7.2.3.2. Messenger RNA
    • 7.2.3.3. MicroRNA
• 7.3. Metabolic Biomarker
• 7.4. Protein Biomarker

8. Cancer Biomarkers Market, by Technology

• 8.1. Enzyme Linked Immunosorbent Assay
• 8.2. Flow Cytometry
• 8.3. Mass Spectrometry
• 8.4. Next Generation Sequencing
• 8.5. Polymerase Chain Reaction

9. Cancer Biomarkers Market, by Cancer Type

• 9.1. Breast Cancer
• 9.2. Colorectal Cancer
• 9.3. Lung Cancer
• 9.4. Ovarian Cancer
• 9.5. Prostate Cancer

10. Cancer Biomarkers Market, by Test Type

• 10.1. Liquid Biopsy
• 10.2. Tissue Biopsy

11. Cancer Biomarkers Market, by Application

• 11.1. Companion Diagnostics
• 11.2. Diagnostics
• 11.3. Monitoring
• 11.4. Predictive Testing
• 11.5. Prognostics

12. Cancer Biomarkers Market, by End User

• 12.1. Academic Research Institutes
• 12.2. Biotechnology Companies
• 12.3. Contract Research Organizations
• 12.4. Diagnostic Laboratories
• 12.5. Hospitals
• 12.6. Pharmaceutical Companies

13. Cancer Biomarkers Market, by Region

• 13.1. Asia-Pacific
• 13.2. North America
• 13.3. Latin America
• 13.4. Europe
• 13.5. Middle East
• 13.6. Africa

14. Cancer Biomarkers Market, by Group

• 14.1. ASEAN
• 14.2. GCC
• 14.3. European Union
• 14.4. BRICS
• 14.5. G7
• 14.6. NATO

15. Cancer Biomarkers Market, by Country

• 15.1. United States
• 15.2. Canada
• 15.3. Mexico
• 15.4. Brazil
• 15.5. United Kingdom
• 15.6. Germany
• 15.7. France
• 15.8. Russia
• 15.9. Italy
• 15.10. Spain
• 15.11. China
• 15.12. India
• 15.13. Japan
• 15.14. Australia
• 15.15. South Korea

16. Competitive Landscape

• 16.1. Market Concentration Analysis, 2025
  • 16.1.1. Concentration Ratio (CR)
  • 16.1.2. Herfindahl Hirschman Index (HHI)
• 16.2. Recent Developments & Impact Analysis, 2025
• 16.3. Product Portfolio Analysis, 2025
• 16.4. Benchmarking Analysis, 2025

17. Company Profiles

• 17.1. Abbott Laboratories
• 17.2. Agilent Technologies, Inc.
• 17.3. Amoy Diagnostics Co., Ltd.
• 17.4. Becton, Dickinson and Company
• 17.5. BGI Genomics Co., Ltd.
• 17.6. Bio-Rad Laboratories, Inc.
• 17.7. bioMerieux SA
• 17.8. Burning Rock Biotech Limited
• 17.9. Caris Life Sciences, Inc.
• 17.10. Danaher Corporation
• 17.11. Exact Sciences Corporation
• 17.12. F. Hoffmann-La Roche Ltd
• 17.13. Foundation Medicine, Inc.
• 17.14. GE HealthCare Technologies Inc.
• 17.15. Genomic Health, Inc.
• 17.16. Guardant Health, Inc.
• 17.17. Hologic, Inc.
• 17.18. HTG Molecular Diagnostics, Inc.
• 17.19. Illumina, Inc.
• 17.20. Invitae Corporation
• 17.21. Luminex Corporation
• 17.22. Menarini Silicon Biosystems S.p.A.
• 17.23. Myriad Genetics, Inc.
• 17.24. NanoString Technologies, Inc.
• 17.25. Natera, Inc.
• 17.26. NeoGenomics Laboratories, Inc.
• 17.27. Opko Health, Inc.
• 17.28. PerkinElmer, Inc.
• 17.29. QIAGEN N.V.
• 17.30. Quest Diagnostics Incorporated
• 17.31. Ribomed Biotechnologies, Inc.
• 17.32. Siemens Healthineers AG
• 17.33. SOPHiA GENETICS SA
• 17.34. Sysmex Corporation
• 17.35. Thermo Fisher Scientific Inc.
• 17.36. Veracyte, Inc.