+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)
New

Colorectal Cancer (CRC): Epidemiology Report and Forecast to 2035

  • PDF Icon

    Report

  • 69 Pages
  • October 2026
  • Region: Global
  • GlobalData
  • ID: 6290965

Colorectal Cancer (CRC): Epidemiology Report and Forecast to 2035

Summary

Colorectal cancer (International Classification of Diseases, 10th Revision [ICD-10] code = C18-C20), also referred to as bowel cancer, is the cancer of the colon, rectum, or rectosigmoid junction. It is a type of gastrointestinal malignancy that originates from either the colon or the rectum. Although both forms can be defined as colon or rectal cancers, depending on their origin, they are often merged because of their many biologically and clinically common features (American Cancer Society, 2024b, 2024c, 2025). In 2024, lung cancer was the most frequently diagnosed malignancy globally with 2.6 million new cases, followed closely by breast cancer (2.4 million cases) and colorectal cancer (2.0 million cases). Ranking as the third most prevalent cancer globally, colorectal cancer is also highly fatal, trailing only lung cancer with 918,000 recorded deaths that same year (World Health Organization, 2026).

The report also provides a 10-year epidemiological forecast of the five-year diagnosed prevalent cases of colorectal cancer. This epidemiology forecast for colorectal cancer is supported by data obtained from national and country-specific cancer registries and population-based studies published in peer-reviewed journals. The forecast methodology was kept consistent across the 8MM to allow for a meaningful comparison of the forecast diagnosed incident and diagnosed prevalent cases of colorectal cancer across these markets.

In the 8MM, the diagnosed incident cases of colorectal cancer are expected to increase from 914,439 cases in 2025 to 1,121,336 cases in 2035, at an annual growth rate (AGR) of 2.26%. In 2035, urban China will have the highest number of diagnosed incident cases of colorectal cancer in the 8MM, with 475,817 cases, whereas France will have the fewest diagnosed incident cases of colorectal cancer, with 56,309 cases.

In the 8MM, the five-year diagnosed prevalent cases of colorectal cancer are expected to increase from 2,984,220 cases in 2025 to 3,643,843 cases in 2035, at an AGR of 2.21%. The analyst epidemiologists attribute the increase in the five-year diagnosed prevalent cases and diagnosed incident cases of colorectal cancer to changes in the diagnosed incidence and survival rates, as well as population dynamics in each market.

Scope

  • This report provides an overview of the risk factors, comorbidities, and global and historical trends for colorectal cancer in the eight major markets (8MM: US, France, Germany, Italy, Spain, UK, Japan, and urban China). It includes a 10-year epidemiological forecast for diagnosed incident cases of colorectal cancer.
  • The diagnosed incident cases of colorectal cancer are segmented by age (18-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, and 80 years and older) in these markets. Diagnosed incident cases of colorectal cancer are further segmented by microsatellite stable (MSS)/proficient mismatch repair (pMMR) and microsatellite instability-high (MSI-H)/mismatch repair-deficient (dMRR).
  • Diagnosed incident cases of MSS/pMMR and MSI-H/dMRR among colorectal cancer are segmented by the American Joint Committee on Cancer (AJCC) stage at diagnosis (stage I, stage IIA, stage IIB, stage IIC, stage IIIA, stage IIIB, stage IIIC, stage IVA, stage IVB, and stage IVC).
  • The diagnosed incident cases of colorectal cancer are further segmented by molecular markers: KRAS mutation, NRAS mutation, BRAF mutation, BRAF V600E mutation, PIK3CA/PTEN mutation, MSI-H/dMMR molecular subtype, human epidermal growth factor receptor 2 (HER2) amplification, MET amplification, NTRK gene fusion, RET gene fusion, DPYD, high tumor mutational burden (TMB) (≥10 mutations/megabase), elevated carcinoembryonic antigen (CEA) (>5ng/mL), UGT1A1 mutation, POLE mutation, TP53 mutation, APC mutation, and programmed death-ligand 1 (PD-L1) expression on tumors, left-sided tumors, and right-sided tumors, as well as recurrence of stages I-III into stage IV disease.
  • The report also provides a 10-year epidemiological forecast of the five-year diagnosed prevalent cases of colorectal cancer. This epidemiology forecast for colorectal cancer is supported by data obtained from national and country-specific cancer registries and population-based studies published in peer-reviewed journals. The forecast methodology was kept consistent across the 8MM to allow for a meaningful comparison of the forecast diagnosed incident and diagnosed prevalent cases of colorectal cancer across these markets.

Table of Contents

1 Executive Summary
1.1 Catalyst
1.2 Related reports
1.3 Upcoming reports
2 Epidemiology
2.1 Disease background
2.2 Risk factors and comorbidities
2.3 Global and historical trends
2.4 8MM forecast methodology
2.4.1 Sources
2.4.2 Forecast assumptions and methods
2.4.3 Forecast assumptions and methods: diagnosed incident cases of colorectal cancer
2.4.4 Forecast assumptions and methods: diagnosed incident cases of MSS/pMMR and MSI-H/dMRR among colorectal cancer by stage at diagnosis
2.4.5 Forecast assumptions and methods: diagnosed incident cases of colorectal by molecular markers
2.4.6 Forecast assumptions and methods: diagnosed incident cases of colorectal cancer by recurrence into stage IV
2.4.7 Forecast assumptions and methods: five-year diagnosed prevalent cases of colorectal cancer
2.5 Epidemiological forecast for colorectal cancer (2025-35)
2.5.1 Diagnosed incident cases of colorectal cancer
2.5.2 Age-specific incident cases of colorectal cancer
2.5.3 Sex-specific incident cases of colorectal cancer
2.5.4 Diagnosed incident cases of colorectal cancer by MSS/pMMR and MSI-H/dMRR
2.5.5 Diagnosed incident cases of MSS/pMMR among colorectal cancer by stage at diagnosis
2.5.6 Diagnosed incident cases of MSI-H/dMRR among colorectal cancer by stage at diagnosis
2.5.7 Diagnosed incident cases of colorectal cancer by molecular markers
2.5.8 Diagnosed incident cases of colorectal cancer by recurrence into stage IV disease
2.5.9 Five-year diagnosed prevalent cases of colorectal cancer
2.6 Discussion
2.6.1 Epidemiological forecast insight
2.6.2 Limitations of the analysis
2.6.3 Strengths of the analysis
3 Appendix
3.1 Bibliography
3.2 About the Authors
3.2.1 Epidemiologist
3.2.2 Reviewers
3.2.3 Vice President of Disease Intelligence and Epidemiology
3.2.4 Global Head of Pharma Research, Analysis, and Competitive Intelligence
  • About the Analyst
  • Contact Us
List of Tables
Table 1: Summary of newly added data types
Table 2: Summary of updated data types
Table 3: Risk factors and comorbid conditions associated with colorectal cancer
Table 4: 8MM, Diagnosed incident cases of MSS/pMMR among colorectal cancer by stage at diagnosis, men and women, ages =18 years, N, 2025
Table 5: 8MM, diagnosed incident cases of MSI-H/dMRR among colorectal cancer by stage at diagnosis, men and women, ages =18 years, N, 2025
Table 6: 8MM, diagnosed incident cases of colorectal cancer by molecular markers, men and women, ages =18 years, N, 2025
List of Figures
Figure 1: 8MM, diagnosed incident cases of colorectal cancer, both sexes, N, ages =18 years, 2025 and 2035
Figure 2: 8MM, five-year diagnosed prevalent cases of colorectal cancer, both sexes, N, ages =18 years, 2025 and 2035
Figure 3: 8MM, diagnosed incidence of colorectal cancer, men and women, %, ages =18 years, 2015-35
Figure 4: 8MM, sources used and not used to forecast the diagnosed incident cases of colorectal cancer
Figure 5: 8MM, sources used to forecast MSS/pMMR and MSI-H/dMRR among colorectal cancer by stage at diagnosis
Figure 6: 8MM, sources used to forecast the diagnosed incident cases of colorectal cancer by molecular markers (KRAS mutation, NRAS mutation, BRAF mutation, BRAF V600E, and PIK3CA/PTEN mutation)
Figure 7: 8MM, sources used to forecast the diagnosed incident cases of colorectal cancer by molecular markers (MSI-H/dMMR molecular subtype, HER2 amplification, MET amplification, and NTRK gene fusion)
Figure 8: 8MM, sources used to forecast the diagnosed incident cases of colorectal cancer by molecular markers (DPYD, high TMB, elevated CEA, and UGT1A1 mutation)
Figure 9: 8MM, sources used to forecast the diagnosed incident cases of colorectal cancer by molecular markers (RET gene fusion, left-sided tumors, and right-sided tumors)
Figure 10: 8MM, sources used to forecast the incident cases of colorectal cancer by recurrence into stage IV disease
Figure 11: 8MM, sources used to forecast the five-year diagnosed prevalent cases of colorectal cancer
Figure 12: 8MM, diagnosed incident cases of colorectal cancer, N, both sexes, ages =18 years, 2025
Figure 13: 8MM, diagnosed incident cases of colorectal cancer by age, N, both sexes, 2025
Figure 14: 8MM, diagnosed incident cases of colorectal cancer by sex, N, ages =18 years, 2025
Figure 15: 8MM, diagnosed incident cases of colorectal cancer by MSS/pMMR and MSI-H/dMRR, N, both sexes, ages =18 years, 2025
Figure 16: 8MM, diagnosed incident cases of colorectal cancer by recurrence into stage IV disease, N, both sexes, ages =18 years, 2025
Figure 17: 8MM, five-year diagnosed prevalent cases of colorectal cancer, N, both sexes, ages =18 years, 2025