AI In Cancer Diagnostics Market (By Component: Software Solutions, Hardware, Services; By Cancer Type; By End-user) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2023-2032

The global AI in cancer diagnostics market was valued at USD 119.42 million in 2022 and it is predicted to surpass around USD 1,414.31 million by 2032 with a CAGR of 28.04% from 2023 to 2032.

AI In Cancer Diagnostics Market Size 2023 to 2032

Key Pointers

  • The software solutions segment held the largest share of over 40.06% in 2022.
  • The software solutions segment is anticipated to grow at a lucrative rate during the forecast period. 
  • The hospitals segment held the largest share of over 55.08% in 2022.
  • The surgical centers and medical institutes segment is projected to register the fastest growth rate of 29.37% during the forecast period.
  • The brain tumor segment is expected to register a lucrative growth rate of 33.11% in the forecast period.
  • North America dominated the market in 2021 with a share of over 55.09%.
  • Asia Pacific is projected to expand at a lucrative CAGR of 30.77% during the forecast period.

Report Scope of the AI In Cancer Diagnostics Market

Report Coverage Details
Market Size in 2022 USD 119.42 million
Revenue Forecast by 2032 USD 1,414.31 million
Growth rate from 2023 to 2032 CAGR of 28.04%
Base Year 2022
Forecast Period 2023 to 2032
Regions Covered North America, Europe, Asia Pacific, Latin America, Middle East & Africa
Companies Covered EarlySign; Cancer Center.ai; Microsoft; Flatiron; Path AI; Therapixel; Tempus; Paige AI, Inc.; Kheiron Medical Technologies Limited; SkinVision

 

Artificial Intelligence (AI) in cancer diagnostics helps in the early diagnosis of cancer, which is expected to be a key factor driving the market. Cancer is a leading cause of death globally and it accounted for about 10 million deaths in 2020, according to the WHO. Most of these deaths can be prevented if the cancer is detected early. Early detection of cancer is possible through the use of AI for screening and diagnosis of cancer, which is expected to boost the market growth. The AI/ML models analyze images generated through pathology and radiology, which helps in the precise diagnosis of cancer as compared to the doctors who generally rely on the observations made through their experience. For instance, in 2019, a team of researchers from the National Institutes of Health and Global Good developed an AI algorithm, which helps in analyzing digital images of women’s cervix and identifying accurately precancerous changes that may be potentially cancerous.

Rising healthcare IT expenditure by countries globally is expected to positively contribute to market growth. The rising expenditure is expected to help improve the digital infrastructure, which is expected to boost the adoption of AI in hospitals and other healthcare institutes. For instance, according to an article by pharmaceutical technology dated November 2021, the number of AI-related financing deals in life sciences jumped from 14 in Q1 of 2019 to 56 in Q1 of 2021. Moreover, AI helps in the accurate and early detection of cancer and reduction in the cost of treatment considerably. According to an article by Lancet dated June 2022, the implementation of AI detection during screening colonoscopy helped to prevent 7194 colorectal cancer cases and 2089 deaths in 2022. The article also states that the implementation of AI for detection also helped to save USD 290 million in 2022.

A shortage of healthcare professionals is expected to boost the adoption of AI software and solutions. Moreover, increasing penetration of AI for diagnostic purposes and initiatives undertaken by the key market players are expected to boost the growth of the market. For instance, in June 2022, Varian, a subsidiary of Siemens Healthineers, partnered with the state and central governments in India under the public-private partnership strategy to set up radiation centers in the states having higher cancer rates.

Availability of data is a key factor for precise diagnosis. In cases of the unavailability of sufficient data, the AI models can make an incorrect diagnosis, which is expected to be a key restraint for the market. Moreover, the AI models rely on information gathered from patients who had comparable circumstances and symptoms, which may act as a barrier for the patients having unrelated symptoms, thereby affecting the accuracy of the diagnosis. Further, the reliance on AI models on data networks makes them vulnerable to cyberattacks, which is expected to negatively affect market growth. For instance, according to an article by Technology Networks dated December 2021, AI models are vulnerable to cyberattacks and can cause the AI models to deliver false results, which affects patient safety.

AI In Cancer Diagnostics Market Segmentations:

By Component By Cancer Type By End-user

Software Solutions

Hardware

Services

Breast Cancer

Lung Cancer

Prostate Cancer

Colorectal Cancer

Brain Tumor

Others

Hospital

Surgical Centers and Medical Institutes

Others

Frequently Asked Questions

The global AI in cancer diagnostics market size was reached at USD 119.42 million in 2022 and it is projected to hit around USD 1,414.31 million by 2032.

The global AI in cancer diagnostics market is growing at a compound annual growth rate (CAGR) of 28.04% from 2023 to 2032.

The North America region has accounted for the largest AI in cancer diagnostics market share in 2022.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Component Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI In Cancer Diagnostics Market 

5.1. COVID-19 Landscape: AI In Cancer Diagnostics Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI In Cancer Diagnostics Market, By Component

8.1. AI In Cancer Diagnostics Market, by Component, 2023-2032

8.1.1 Software Solutions

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Hardware

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global AI In Cancer Diagnostics Market, By Cancer Type

9.1. AI In Cancer Diagnostics Market, by Cancer Type, 2023-2032

9.1.1. Breast Cancer

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Lung Cancer

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Prostate Cancer

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Colorectal Cancer

9.1.4.1. Market Revenue and Forecast (2020-2032)

9.1.5. Brain Tumor

9.1.5.1. Market Revenue and Forecast (2020-2032)

9.1.6. Others

9.1.6.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global AI In Cancer Diagnostics Market, By End-user 

10.1. AI In Cancer Diagnostics Market, by End-user, 2023-2032

10.1.1. Hospital

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Surgical Centers and Medical Institutes

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Others

10.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global AI In Cancer Diagnostics Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.1.3. Market Revenue and Forecast, by End-user (2020-2032)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.1.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.1.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.1.5.3. Market Revenue and Forecast, by End-user (2020-2032)

11.2. Europe

11.2.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.2.3. Market Revenue and Forecast, by End-user (2020-2032)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.2.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.2.5.3. Market Revenue and Forecast, by End-user (2020-2032)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.6.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.2.6.3. Market Revenue and Forecast, by End-user (2020-2032)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.2.7.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.2.7.3. Market Revenue and Forecast, by End-user (2020-2032)

11.3. APAC

11.3.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.3.3. Market Revenue and Forecast, by End-user (2020-2032)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.3.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.3.5.3. Market Revenue and Forecast, by End-user (2020-2032)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.6.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.3.6.3. Market Revenue and Forecast, by End-user (2020-2032)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.3.7.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.3.7.3. Market Revenue and Forecast, by End-user (2020-2032)

11.4. MEA

11.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.4.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.4.5.3. Market Revenue and Forecast, by End-user (2020-2032)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.6.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.4.6.3. Market Revenue and Forecast, by End-user (2020-2032)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Component (2020-2032)

11.4.7.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.4.7.3. Market Revenue and Forecast, by End-user (2020-2032)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.5.3. Market Revenue and Forecast, by End-user (2020-2032)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.4.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.5.4.3. Market Revenue and Forecast, by End-user (2020-2032)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Component (2020-2032)

11.5.5.2. Market Revenue and Forecast, by Cancer Type (2020-2032)

11.5.5.3. Market Revenue and Forecast, by End-user (2020-2032)

Chapter 12. Company Profiles

12.1. EarlySign

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Cancer Center.ai

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Microsoft

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Flatiron

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Path AI

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Therapixel

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Tempus

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Paige AI, Inc.

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Kheiron Medical Technologies Limited

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. SkinVision

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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