By Type
- Protein Biomarkers
- Genetic Biomarkers
- Other Cancer Biomarkers (cell, viral, and carbohydrate biomarkers)
By Cancer Type
- Breast Cancer
- Lung Cancer
- CRC
- Prostate Cancer
- Non-Hodgkin Lymphoma
- Melanoma
- Leukemia
- Thyroid Cancer
- Bladder Cancer
- Kidney Cancer
- Other Cancer Types
By Profiling Technology
- OMICS Technologies
- Proteomics
- Genomics
- Other OMICS Technologies
- Imaging Technologies
- Ultrasound
- CT
- MRI
- PET
- Mammography
- Immunoassays
- Cytogenetics
- ISH
- Other Cytogenetics-Based Tests
- Bioinformatics
By Application
- Diagnostics
- Research and Development
- Prognostics
- Risk Assessment
- Others
By Region
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
The market is fragmented into type, cancer type, profiling technology, application and region. The type segment is categorised into protein biomarker and genetic biomarker. The genetic biomarker segment is anticipated to hold the largest cancer biomarkers market share, and this can be credited to the technological advancements in gene expression profiling, polymerase chain reaction and next generation sequencing for genetic biomarker diagnosis and discovery. The cancer type segment is categorised into breast cancer, lung cancer, CRC, prostate cancer, non-Hodgkin’s Lymhoma, melanoma, leukemia, thyroid cancer, bladder cancer, kidney cancer and other cancers. The lung cancer segment is predicted to account the largest cancer biomarkers market share. This growth can be credited to the rise in the number od newly registered cases of lung cancer. Companies are increasingly focusing on lung cancer biomarker research along with the rising comprehension of lung cancer morphology, rising emphasis om early cancer detection are boosting the proliferation of the market. The profiling technology segment is divided into OMICS technologies, proteomics, genomics. Bioinformatics is used for identifying biomedically relevant and powerful biomarkers. Data mining provides tools foe evaluating and interpreting the resulting predictions and models along with techniques for bolstering the prediction mechanisms. Such factors shall boost the proliferation of the market.