폐암 진단 시장 : 전략적 인사이트 및 예측(2026-2035년)

The Lung Cancer Diagnostics Market is expected to grow at a CAGR of 6.2% from a market value of USD 17.9 billion in 2026 to USD 30.8 billion in 2035.

The lung cancer diagnostics market is undergoing significant transformation driven by the paradigm shift toward precision oncology and comprehensive molecular characterization. The market's evolution is characterized by the growing recognition that therapeutic selection depends on identifying specific genomic alterations rather than relying exclusively on histopathological diagnosis. The convergence of advanced imaging modalities, next-generation sequencing, liquid biopsy technologies, and artificial intelligence is enabling faster, more accurate, and increasingly comprehensive diagnostic evaluation. Healthcare systems are expanding access to multiplex diagnostic technologies that identify multiple actionable biomarkers in a single assay, reducing diagnostic delays and supporting timely therapeutic intervention. The growing availability of biomarker-directed therapies is increasing demand for comprehensive genomic profiling because treatment eligibility increasingly depends on actionable molecular alterations. National cancer control initiatives are supporting broader access to advanced diagnostics through investments in genomic medicine, laboratory modernization, and standardized testing guidelines. The market is witnessing significant investment in companion diagnostic development, liquid biopsy platforms, and AI-enabled imaging solutions, positioning lung cancer diagnostics as a critical determinant of treatment outcomes rather than solely a disease detection tool.

Market Drivers

• Expanding precision oncology represents the primary driver for the lung cancer diagnostics market. Precision oncology defines modern lung cancer management because therapeutic selection depends on identifying specific genomic alterations rather than relying exclusively on histopathological diagnosis. Clinical practice is increasingly requiring broad molecular testing before treatment initiation as targeted therapies continue receiving regulatory approvals across multiple biomarker-defined populations. Limited tissue availability remains a major clinical constraint, encouraging laboratories to adopt multiplex sequencing technologies that maximize genomic information from small biopsy specimens. Diagnostic manufacturers are expanding comprehensive genomic profiling portfolios through collaborations with pharmaceutical companies developing targeted therapies, resulting in sustained growth in lung cancer diagnostic utilization. Liquid biopsy is further accelerating market growth by transforming non-invasive cancer characterization. Traditional tissue biopsy remains the diagnostic standard, yet procedural limitations frequently delay molecular testing or prevent repeat sampling during disease progression. Plasma-based testing is expanding clinical adoption because circulating tumor DNA enables genomic characterization through minimally invasive blood collection. Analytical sensitivity continues improving through advances in sequencing chemistry and bioinformatics, increasing physician confidence in liquid biopsy applications for therapy selection and resistance monitoring. Regulatory expansion of companion diagnostics is strengthening market adoption and clinical integration. Companion diagnostics establish the clinical pathway between molecular testing and targeted treatment because regulatory approvals increasingly specify biomarker confirmation before therapy administration. Drug developers are integrating diagnostic development earlier within clinical programs as biomarker-defined trials improve patient selection and therapeutic outcomes. Regulatory agencies continue approving additional companion diagnostic indications, increasing laboratory demand for validated testing platforms. Artificial intelligence is improving imaging-based detection and workflow efficiency. Medical imaging remains fundamental for lung cancer detection because screening programs rely heavily on computed tomography to identify suspicious pulmonary nodules. Radiology departments are incorporating artificial intelligence into image interpretation workflows as increasing screening volumes create reporting challenges. AI-assisted algorithms improve workflow efficiency by prioritizing abnormal findings while supporting consistency in pulmonary nodule assessment.

Market Restraints

• High costs associated with comprehensive genomic profiling and next-generation sequencing continue limiting adoption across resource-constrained healthcare systems. The significant financial investment required for advanced technologies creates barriers for facilities with limited budgets. Variability in reimbursement policies for advanced molecular diagnostics reduces testing accessibility and delays implementation of precision oncology programs. Inconsistent coverage policies across regions create uncertainty for diagnostic providers and limit patient access. Limited availability of specialized molecular pathology expertise and accredited genomic laboratories restricts testing capacity in several emerging healthcare markets. The shortage of trained personnel reduces the scalability of comprehensive genomic profiling services. Regulatory complexities across different jurisdictions create compliance burdens for manufacturers seeking to commercialize new diagnostic solutions. The evolving regulatory landscape requires continuous adaptation, increasing operational costs and time-to-market.

Technology and Segment Insights

• The technology landscape is characterized by the growing importance of integrated precision oncology platforms. Demand is shifting from sequential single-gene testing toward comprehensive genomic profiling because targeted therapies continue expanding across biomarker-defined populations. NGS is improving diagnostic efficiency through simultaneous multi-gene analysis, reducing sequential biomarker testing. Liquid biopsy technologies are expanding clinical utilization because they provide a minimally invasive genomic assessment when tissue availability limits conventional testing. Imaging technologies, including low-dose CT and AI-assisted interpretation, remain fundamental for early detection and screening. The segment analysis reveals that molecular diagnostics constitute the fastest-evolving testing segment because precision oncology depends on identifying actionable genomic alterations before treatment selection. Healthcare providers are increasingly replacing sequential single-gene assays with comprehensive genomic profiling that evaluates multiple biomarkers simultaneously. Non-Small Cell Lung Cancer represents the largest diagnostic segment because it encompasses numerous molecularly distinct disease subtypes that require individualized therapeutic selection. Clinical practice is increasingly incorporating comprehensive genomic profiling before treatment initiation as targeted therapies continue expanding across biomarker-defined populations. Molecular and genetic biomarkers, including EGFR, ALK, ROS1, BRAF, KRAS, MET, RET, and NTRK, are essential for therapy selection. Protein biomarkers, including PD-L1, guide immunotherapy decisions. Tissue biopsy remains the diagnostic standard, yet liquid biopsy is expanding for minimally invasive testing when tissue is limited. Hospitals account for a substantial share of diagnostic utilization because multidisciplinary oncology teams coordinate imaging, pathology, molecular testing, surgery, and systemic treatment within integrated clinical pathways. Diagnostic laboratories and cancer centers are expanding specialized testing services. The integration of AI is becoming increasingly important across imaging and pathology workflows, with AI-assisted algorithms supporting lesion detection, biomarker quantification, and workflow prioritization.

Competitive and Strategic Outlook

• The competitive landscape features established diagnostic and life science companies alongside specialized liquid biopsy and precision oncology providers. Roche maintains a leading position through its integrated oncology diagnostics portfolio, including the VENTANA tissue diagnostics platform, cobas molecular diagnostics, and multiple FDA-approved companion diagnostics, continuing to expand its pharmaceutical-diagnostic co-development strategies. Thermo Fisher Scientific differentiates itself through the Oncomine portfolio, which supports comprehensive genomic profiling and multiple companion diagnostic applications, continuing to invest in NGS workflows, automation, and bioinformatics. Illumina remains a global leader in sequencing technology through its TruSight Oncology portfolio and high-throughput NGS platforms for comprehensive cancer genomic profiling, continuing to expand collaborations with pharmaceutical and clinical laboratories. QIAGEN focuses on companion diagnostics, PCR-based molecular testing, and NGS sample preparation solutions that support biomarker identification in lung cancer. Agilent provides pathology, immunohistochemistry, in situ hybridization, and genomic analysis solutions that support integrated lung cancer diagnostics. Guardant Health specializes in liquid biopsy and comprehensive genomic profiling through the Guardant360 platform, supporting therapy selection and genomic monitoring in advanced lung cancer. Companies are pursuing product portfolio expansion through innovation in NGS panels, liquid biopsy assays, AI-enabled imaging, and companion diagnostic technologies. Strategic collaborations between diagnostic manufacturers and pharmaceutical companies are increasing, driven by the need for companion diagnostic development alongside targeted therapies. Recent key developments include Optellum announcing it has surpassed 250 clinical sites and analyzed more than 3 million cases, helping one patient every 14 seconds with its AI-driven lung cancer risk stratification. NHS launched a single end-to-end lung cancer diagnostic pathway initiative combining Optellum's AI-driven risk stratification with robotic-assisted bronchoscopy. Roche received FDA Breakthrough Device Designation for its first AI-powered diagnostic for lung cancer, the VENTANA TROP2 RxDx Device. Geographic expansion remains a key strategic priority, with companies targeting rapidly growing Asia Pacific and emerging markets where healthcare infrastructure is expanding. Mergers and acquisitions are occurring as larger players seek to expand market presence and technology capabilities.

Short Conclusion

• The lung cancer diagnostics market is positioned for sustained growth driven by the convergence of precision oncology, technological innovation, and expanding healthcare investment. The transition from conventional disease detection toward comprehensive precision oncology represents a fundamental shift in lung cancer management. While challenges related to high costs, reimbursement variability, and expertise shortages persist, strategic investments in technology, automation, and partnerships are creating durable competitive advantages for market leaders. The long-term market outlook remains positive, with lung cancer diagnostics evolving into a foundational component of precision oncology, supporting earlier detection, accurate molecular characterization, therapeutic selection, and longitudinal disease monitoring across global healthcare systems.

Key Benefits of this Report

• Insightful Analysis: Detailed market insights across regions, customer segments, policies, socio-economic factors, consumer preferences, and industry verticals.
• Competitive Landscape: Understand strategic moves by key players to identify optimal market entry approaches.
• Market Drivers and Future Trends: Assess major growth forces and emerging developments shaping the market.
• Actionable Recommendations: Support strategic decisions to unlock new revenue streams.
• Caters to a Wide Audience: Suitable for startups, research institutions, consultants, SMEs, and large enterprises.

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Report Coverage

• Historical data from 2021 to 2024, Base year 2025, and Forecast years from 2026 to 2035
• Growth opportunities, challenges, supply chain outlook, regulatory framework, and trend analysis
• Competitive positioning, strategies, and market share evaluation, and trade analysis
• Revenue growth and forecast assessment across segments and regions
• Company profiling including strategies, products, financials, and key developments

TABLE OF CONTENTS

1. Executive Summary

• 1.1 Market Snapshot
• 1.2 Key Findings
• 1.3 Analyst Insights
• 1.4 Strategic Recommendations

2. Research Methodology

• 2.1 Research Design
• 2.2 Data Collection Methodology
• 2.3 Market Size Estimation
• 2.4 Forecasting Model
• 2.5 Assumptions & Limitations

3. Global Lung Cancer Diagnostics Market Overview, Size & Forecast

• 3.1 Market Definition & Scope
• 3.2 Lung Cancer Overview
• 3.3 Disease Classification
• 3.4 Disease Burden & Unmet Clinical Needs
• 3.5 Epidemiology and Prevalence Analysis
  • 3.5.1 Disease Prevalence
  • 3.5.2 Diagnosed Patient Population
• 3.6 Patient Journey Analysis
• 3.7 Diagnostic Pathway and Standard of Care
• 3.8 Industry Evolution
• 3.9 Key Market Trends
• 3.10 Historical Market Size Analysis (2021-2025)
• 3.11 Market Forecast (2026-2035)

4. Market Dynamics

• 4.1 Market Drivers
• 4.2 Market Restraints
• 4.3 Market Opportunities
• 4.4 Market Challenges

5. Industry Landscape

• 5.1 Industry Value Chain Analysis
• 5.2 Pricing Analysis
• 5.3 Reimbursement Landscape

6. Innovation Landscape

• 6.1 Emerging Diagnostic Technologies
• 6.2 Product Innovation
• 6.3 Clinical Trial Analysis
• 6.4 Pipeline Analysis
• 6.5 Artificial Intelligence Integration in Lung Cancer Diagnostics
• 6.6 Digital Pathology and Integrated Diagnostics

7. Regulatory Landscape

• 7.1 Regulatory Framework
• 7.2 Approval Pathways
• 7.3 Compliance Requirements

8. Global Lung Cancer Diagnostics Market Landscape Analysis

• 8.1 Analysis by Technology Platform
• 8.2 Analysis by Biomarker
• 8.3 Analysis by Sample Type
• 8.4 Analysis by Clinical Application
• 8.5 Analysis by Testing Methodology

9. Global Lung Cancer Diagnostics Market Segment Analysis (2021-2035)

• 9.1 By Product Type
  • 9.1.1 Instruments
  • 9.1.2 Reagents & Kits
  • 9.1.3 Software & Services
• 9.2 By Biomarker
  • 9.2.1 Molecular & Genetic Biomarkers
  • 9.2.2 Protein Biomarkers
  • 9.2.3 Emerging Biomarkers
• 9.3 By Sample Type
  • 9.3.1 Tissue Biopsy
  • 9.3.2 Liquid Biopsy
  • 9.3.3 Other Sample Types
• 9.4 By Cancer Type
  • 9.4.1 Non-Small Cell Lung Cancer (NSCLC)
  • 9.4.2 Small Cell Lung Cancer (SCLC)
• 9.5 By Test Type
  • 9.5.1 Imaging Tests
  • 9.5.2 Molecular Diagnostics
  • 9.5.3 Tissue-Based Diagnostics
  • 9.5.4 Others
• 9.6 By End User
  • 9.6.1 Hospitals
  • 9.6.2 Diagnostic Laboratories
  • 9.6.3 Cancer Centers
  • 9.6.4 Others

10. Global Lung Cancer Diagnostics Market Geographical Analysis (2021-2035)

• 10.1 North America
• 10.2 Europe
• 10.3 Asia-Pacific
• 10.4 South America
• 10.5 Middle East & Africa

11. Global Lung Cancer Diagnostics Market Country Analysis (2021-2035)

• 11.1 United States
• 11.2 Canada
• 11.3 Germany
• 11.4 United Kingdom
• 11.5 France
• 11.6 Italy
• 11.7 Spain
• 11.8 Netherlands
• 11.9 Japan
• 11.10 China
• 11.11 India
• 11.12 South Korea
• 11.13 Australia
• 11.14 Brazil
• 11.15 Mexico
• 11.16 Saudi Arabia
• 11.17 South Africa

12. Competitive Landscape

• 12.1 Market Share Analysis
• 12.2 Strategic Developments
• 12.3 Mergers & Acquisitions, Partnerships & Collaborations
• 12.4 Product Launches

13. Company Profiles

• 13.1 Roche Holding AG
  • 13.1.1 Company Overview
  • 13.1.2 Financials
  • 13.1.3 Product Portfolio
  • 13.1.4 Recent Developments
• 13.2 Thermo Fisher Scientific Inc.
• 13.3 Illumina, Inc.
• 13.4 QIAGEN N.V.
• 13.5 Agilent Technologies, Inc.
• 13.6 Abbott Laboratories
• 13.7 Koninklijke Philips N.V.
• 13.8 Bio-Rad Laboratories, Inc.
• 13.9 Guardant Health, Inc.
• 13.10 Exact Sciences Corporation

14. Global Lung Cancer Diagnostics Market Commercial Forecast Analysis

• 14.1 Companion Diagnostics
• 14.2 Liquid Biopsy Diagnostics
• 14.3 Tissue-Based Molecular Diagnostics
• 14.4 Immunohistochemistry-Based Diagnostics
• 14.5 Next-Generation Sequencing Panels
• 14.6 AI-Enabled Diagnostic Solutions

15. Investment & Funding Analysis

• 15.1 Venture Capital Trends
• 15.2 Government Funding
• 15.3 R&D Investments

16. Future Outlook

• 16.1 Key Growth Opportunities
• 16.2 Future Industry Trends