Market Research

AI in Cancer Diagnostics Market (Component: Software Solutions and Services; Cancer Type: Breast Cancer, Prostate Cancer, Lung Cancer, Colorectal Cancer, Cervical Cancer, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2

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from $5,795 153 Pages Transparency Market Research Pvt. Ltd. August, 2023 TNPR18249855
Best Price Guarantee
Price from $5,795
Length 153 Pages
Publisher Transparency Market Research Pvt. Ltd.
Published Date August, 2023
SKU TNPR18249855

AI in Cancer Diagnostics Market (Component: Software Solutions and Services; Cancer Type: Breast Cancer, Prostate Cancer, Lung Cancer, Colorectal Cancer, Cervical Cancer, and Others) - Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2023-2031


AI in Cancer Diagnostics Market – Scope of Report

TMR’s report on the global AI in cancer diagnostics market studies the past as well as the current growth trends and opportunities to gain valuable insights of the indicators of the market during the forecast period from 2023 to 2031. The report provides revenue of the global AI in cancer diagnostics market for the period 2017–2031, considering 2023 as the base year and 2031 as the forecast year. The report also provides the compound annual growth rate (CAGR %) of the global AI in cancer diagnostics market from 2023 to 2031.

The report has been prepared after an extensive research. Primary research involved bulk of the research efforts, wherein analysts carried out interviews with key opinion leaders, industry leaders, and opinion makers. Secondary research involved referring to key players’ product literature, annual reports, press releases, and relevant documents to understand the AI in cancer diagnostics market.

Secondary research also included Internet sources, statistical data from government agencies, websites, and trade associations. Analysts employed a combination of top-down and bottom-up approaches to study various attributes of the global AI in cancer diagnostics market.

The report includes an elaborate executive summary, along with a snapshot of the growth behavior of various segments included in the scope of the study. Moreover, the report throws light on the changing competitive dynamics in the global AI in cancer diagnostics market. These serve as valuable tools for existing market players as well as for entities interested in participating in the global AI in cancer diagnostics market.

The report delves into the competitive landscape of the global AI in cancer diagnostics market. Key players operating in the global AI in cancer diagnostics market have been identified and each one of these has been profiled in terms of various attributes. Company overview, financial standings, recent developments, and SWOT are the attributes of players in the global AI in cancer diagnostics market profiled in this report.

Key Questions Answered in Global AI in Cancer Diagnostics Market Report
  • What is the sales/revenue generated by AI in cancer diagnostics across all regions during the forecast period?
  • What are the opportunities in the global AI in cancer diagnostics market?
  • What are the major drivers, restraints, opportunities, and threats in the market?
  • Which regional market is set to expand at the fastest CAGR during the forecast period?
  • Which segment is expected to generate the highest revenue globally in 2031?
  • Which segment is projected to expand at the highest CAGR during the forecast period?
  • What are the market positions of different companies operating in the global market?
AI in Cancer Diagnostics Market – Research Objectives and Research Approach

The comprehensive report on the global AI in cancer diagnostics market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller ones. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global AI in cancer diagnostics market in terms of product, end-user, and region. Key segments under each criterion have been studied at length, and the market share for each of these at the end of 2031 has been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global AI in cancer diagnostics market.


1. Preface
1.1. Market Definition and Scope
1.2. Market Segmentation
1.3. Key Research Objectives
1.4. Research Highlights
2. Assumptions and Research Methodology
3. Executive Summary: Global AI in Cancer Diagnostics Market
4. Market Overview
4.1. Introduction
4.1.1. Component Definition
4.2. Overview
4.3. Market Dynamics
4.3.1. Drivers
4.3.2. Restraints
4.3.3. Opportunities
4.4. Global AI in Cancer Diagnostics Market Analysis and Forecast, 2017-2031
4.4.1. Market Revenue Projections (US$ Mn)
5. Key Insights
5.1. Different Technique Overview of Machine Learning in Oncology
5.2. Technological Advancements
5.3. List of Major Software used as AI in Cancer Diagnostics
5.4. Regulatory Scenario by Region/Globally
5.5. COVID-19 Pandemic Impact on Industry (value chain and short/mid/long term impact)
6. Global AI in Cancer Diagnostics Market Analysis and Forecast, by Component
6.1. Introduction & Definition
6.2. Key Findings/Developments
6.3. Market Value Forecast, by Component, 2017-2031
6.3.1. Software Solutions
6.3.2. Services
6.4. Market Attractiveness Analysis, by Component
7. Global AI in Cancer Diagnostics Market Analysis and Forecast, by Cancer Type
7.1. Introduction & Definition
7.2. Key Findings/Developments
7.3. Market Value Forecast, by Cancer Type, 2017-2031
7.3.1. Breast Cancer
7.3.2. Prostate Cancer
7.3.3. Lung Cancer
7.3.4. Colorectal Cancer
7.3.5. Cervical Cancer
7.3.6. Others
7.4. Market Attractiveness Analysis, by Cancer Type
8. Global AI in Cancer Diagnostics Market Analysis and Forecast, by Application
8.1. Introduction & Definition
8.2. Key Findings/Developments
8.3. Market Value Forecast, by Application, 2017-2031
8.3.1. Screening & Diagnosis
8.3.2. Tumor Identification
8.3.3. Monitoring
8.4. Market Attractiveness Analysis, by Application
9. Global AI in Cancer Diagnostics Market Analysis and Forecast, by End-user
9.1. Introduction & Definition
9.2. Key Findings/Developments
9.3. Market Value Forecast, by End-user, 2017-2031
9.3.1. Hospitals
9.3.2. Diagnostic Centers
9.3.3. Medical Research Institutes
9.3.4. Contract Research Organizations
9.4. Market Attractiveness Analysis, by End-user
10. Global AI in Cancer Diagnostics Market Analysis and Forecast, by Region
10.1. Key Findings
10.2. Market Value Forecast, by Region, 2017-2031
10.2.1. North America
10.2.2. Europe
10.2.3. Asia Pacific
10.2.4. Latin America
10.2.5. Middle East & Africa
10.3. Market Attractiveness Analysis, by Region
11. North America AI in Cancer Diagnostics Market Analysis and Forecast
11.1. Introduction
11.1.1. Key Findings
11.2. Market Value Forecast, by Component, 2017-2031
11.2.1. Software Solutions
11.2.2. Services
11.3. Market Value Forecast, by Cancer Type, 2017-2031
11.3.1. Breast Cancer
11.3.2. Prostate Cancer
11.3.3. Lung Cancer
11.3.4. Colorectal Cancer
11.3.5. Cervical Cancer
11.3.6. Others
11.4. Market Value Forecast, by Application, 2017-2031
11.4.1. Screening & Diagnosis
11.4.2. Tumor Identification
11.4.3. Monitoring
11.5. Market Value Forecast, by End-user, 2017-2031
11.5.1. Hospitals
11.5.2. Diagnostic Centers
11.5.3. Medical Research Institutes
11.5.4. Contract Research Organizations
11.6. Market Value Forecast, by Country, 2017-2031
11.6.1. U.S.
11.6.2. Canada
11.7. Market Attractiveness Analysis
11.7.1. By Component
11.7.2. By Cancer Type
11.7.3. By Application
11.7.4. By End-user
11.7.5. By Country
12. Europe AI in Cancer Diagnostics Market Analysis and Forecast
12.1. Introduction
12.1.1. Key Findings
12.2. Market Value Forecast, by Component, 2017-2031
12.2.1. Software Solutions
12.2.2. Services
12.3. Market Value Forecast, by Cancer Type, 2017-2031
12.3.1. Breast Cancer
12.3.2. Prostate Cancer
12.3.3. Lung Cancer
12.3.4. Colorectal Cancer
12.3.5. Cervical Cancer
12.3.6. Others
12.4. Market Value Forecast, by Application, 2017-2031
12.4.1. Screening & Diagnosis
12.4.2. Tumor Identification
12.4.3. Monitoring
12.5. Market Value Forecast, by End-user, 2017-2031
12.5.1. Hospitals
12.5.2. Diagnostic Centers
12.5.3. Medical Research Institutes
12.5.4. Contract Research Organizations
12.6. Market Value Forecast, by Country/Sub-region, 2017-2031
12.6.1. Germany
12.6.2. U.K.
12.6.3. France
12.6.4. Italy
12.6.5. Spain
12.6.6. Rest of Europe
12.7. Market Attractiveness Analysis
12.7.1. By Component
12.7.2. By Cancer Type
12.7.3. By Application
12.7.4. By End-user
12.7.5. By Country/Sub-region
13. Asia Pacific AI in Cancer Diagnostics Market Analysis and Forecast
13.1. Introduction
13.1.1. Key Findings
13.2. Market Value Forecast, by Component, 2017-2031
13.2.1. Software Solutions
13.2.2. Services
13.3. Market Value Forecast, by Cancer Type, 2017-2031
13.3.1. Breast Cancer
13.3.2. Prostate Cancer
13.3.3. Lung Cancer
13.3.4. Colorectal Cancer
13.3.5. Cervical Cancer
13.3.6. Others
13.4. Market Value Forecast, by Application, 2017-2031
13.4.1. Screening & Diagnosis
13.4.2. Tumor Identification
13.4.3. Monitoring
13.5. Market Value Forecast, by End-user, 2017-2031
13.5.1. Hospitals
13.5.2. Diagnostic Centers
13.5.3. Medical Research Institutes
13.5.4. Contract Research Organizations
13.6. Market Value Forecast, by Country/Sub-region, 2017-2031
13.6.1. China
13.6.2. Japan
13.6.3. India
13.6.4. Australia & New Zealand
13.6.5. Rest of Asia Pacific
13.7. Market Attractiveness Analysis
13.7.1. By Component
13.7.2. By Cancer Type
13.7.3. By Application
13.7.4. By End-user
13.7.5. By Country/Sub-region
14. Latin America AI in Cancer Diagnostics Market Analysis and Forecast
14.1. Introduction
14.1.1. Key Findings
14.2. Market Value Forecast, by Component, 2017-2031
14.2.1. Software Solutions
14.2.2. Services
14.3. Market Value Forecast, by Cancer Type, 2017-2031
14.3.1. Breast Cancer
14.3.2. Prostate Cancer
14.3.3. Lung Cancer
14.3.4. Colorectal Cancer
14.3.5. Cervical Cancer
14.3.6. Others
14.4. Market Value Forecast, by Application, 2017-2031
14.4.1. Screening & Diagnosis
14.4.2. Tumor Identification
14.4.3. Monitoring
14.5. Market Value Forecast, by End-user, 2017-2031
14.5.1. Hospitals
14.5.2. Diagnostic Centers
14.5.3. Medical Research Institutes
14.5.4. Contract Research Organizations
14.6. Market Value Forecast, by Country/Sub-region, 2017-2031
14.6.1. Brazil
14.6.2. Mexico
14.6.3. Rest of Latin America
14.7. Market Attractiveness Analysis
14.7.1. By Component
14.7.2. By Cancer Type
14.7.3. By Application
14.7.4. By End-user
14.7.5. By Country/Sub-region
15. Middle East & Africa AI in Cancer Diagnostics Market Analysis and Forecast
15.1. Introduction
15.1.1. Key Findings
15.2. Market Value Forecast, by Component, 2017-2031
15.2.1. Software Solutions
15.2.2. Services
15.3. Market Value Forecast, by Cancer Type, 2017-2031
15.3.1. Breast Cancer
15.3.2. Prostate Cancer
15.3.3. Lung Cancer
15.3.4. Colorectal Cancer
15.3.5. Cervical Cancer
15.3.6. Others
15.4. Market Value Forecast, by Application, 2017-2031
15.4.1. Screening & Diagnosis
15.4.2. Tumor Identification
15.4.3. Monitoring
15.5. Market Value Forecast, by End-user, 2017-2031
15.5.1. Hospitals
15.5.2. Diagnostic Centers
15.5.3. Medical Research Institutes
15.5.4. Contract Research Organizations
15.6. Market Value Forecast, by Country/Sub-region, 2017-2031
15.6.1. GCC Countries
15.6.2. South Africa
15.6.3. Rest of Middle East & Africa
15.7. Market Attractiveness Analysis
15.7.1. By Component
15.7.2. By Cancer Type
15.7.3. By Application
15.7.4. By End-user
15.7.5. By Country/Sub-region
16. Competition Landscape
16.1. Market Player - Competition Matrix, by tier and size of companies
16.2. Market Share Analysis, by Company, 2022
16.3. Company Profiles
16.3.1. Ibex Medical Analytics
16.3.1.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.1.2. Product Portfolio
16.3.1.3. Financial Overview
16.3.1.4. SWOT Analysis
16.3.1.5. Strategic Overview
16.3.2. EarlySign
16.3.2.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.2.2. Product Portfolio
16.3.2.3. Financial Overview
16.3.2.4. SWOT Analysis
16.3.2.5. Strategic Overview
16.3.3. Cancer Center.ai
16.3.3.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.3.2. Product Portfolio
16.3.3.3. Financial Overview
16.3.3.4. SWOT Analysis
16.3.3.5. Strategic Overview
16.3.4. Microsoft
16.3.4.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.4.2. Product Portfolio
16.3.4.3. Financial Overview
16.3.4.4. SWOT Analysis
16.3.4.5. Strategic Overview
16.3.5. Flatiron
16.3.5.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.5.2. Product Portfolio
16.3.5.3. Financial Overview
16.3.5.4. SWOT Analysis
16.3.5.5. Strategic Overview
16.3.6. Path AI
16.3.6.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.6.2. Product Portfolio
16.3.6.3. Financial Overview
16.3.6.4. SWOT Analysis
16.3.6.5. Strategic Overview
16.3.7. Therapixel
16.3.7.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.7.2. Product Portfolio
16.3.7.3. Financial Overview
16.3.7.4. SWOT Analysis
16.3.7.5. Strategic Overview
16.3.8. Tempus
16.3.8.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.8.2. Product Portfolio
16.3.8.3. Financial Overview
16.3.8.4. SWOT Analysis
16.3.8.5. Strategic Overview
16.3.9. Paige AI, Inc.
16.3.9.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.9.2. Product Portfolio
16.3.9.3. Financial Overview
16.3.9.4. SWOT Analysis
16.3.9.5. Strategic Overview
16.3.10. Kheiron Medical Technologies Limited
16.3.10.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.10.2. Product Portfolio
16.3.10.3. Financial Overview
16.3.10.4. SWOT Analysis
16.3.10.5. Strategic Overview
16.3.11. SkinVision
16.3.11.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.11.2. Product Portfolio
16.3.11.3. Financial Overview
16.3.11.4. SWOT Analysis
16.3.11.5. Strategic Overview
16.3.12. Freenome
16.3.12.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.12.2. Product Portfolio
16.3.12.3. Financial Overview
16.3.12.4. SWOT Analysis
16.3.12.5. Strategic Overview
16.3.13. Whiterabbit.ai
16.3.13.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.13.2. Product Portfolio
16.3.13.3. Financial Overview
16.3.13.4. SWOT Analysis
16.3.13.5. Strategic Overview
16.3.14. Mindpeak GmbH
16.3.14.1. Company Overview (HQ, Business Segments, Employee Strength)
16.3.14.2. Product Portfolio
16.3.14.3. Financial Overview
16.3.14.4. SWOT Analysis
16.3.14.5. Strategic Overview

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