Market Research

AI in Cancer Diagnostics Market, By Component (Software Solutions, Hardware, Services); By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Others); By End User (Hospital, Surgical Centers & Medical Institutes, Oth

Best Price Guarantee Length Publisher Published Date SKU
from $4,850 521 Pages BlueWeave Consulting November, 2024 BLWC19402181
Best Price Guarantee
Price from $4,850
Length 521 Pages
Publisher BlueWeave Consulting
Published Date November, 2024
SKU BLWC19402181

AI in Cancer Diagnostics Market, By Component (Software Solutions, Hardware, Services); By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Others); By End User (Hospital, Surgical Centers & Medical Institutes, Others); By Region (North America, Europe, Asia Pacific (APAC), Latin America (LATAM), Middle East and Africa (MEA)), Global Trend Analysis, Competitive Landscape & Forecast, 2019–2030


Global AI in Cancer Diagnostics Market Size Zooms 8X to Surpass USD 5 Billion by 2030

Global AI in Cancer Diagnostics Market is thriving due to technological advancements, rising cancer prevalence, and a spurring demand for early detection and personalized medicine.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global AI in Cancer Diagnostics Market size by value at USD 643.3 million in 2023. During the forecast period between 2024 and 2030, BlueWeave expects Global AI in Cancer Diagnostics Market size to expand at a robust CAGR of 34.60% reaching a value of USD 5,094.9 million by 2030. Global AI in Cancer Diagnostics Market is driven by advancements in machine learning algorithms and imaging technologies, enabling faster and more accurate cancer detection. Increasing cancer prevalence across the world, coupled with rising demand for personalized treatment, fuels AI adoption. Integration of AI with imaging modalities like MRI and CT scans enhances diagnostic precision. Supportive government initiatives and funding for AI in healthcare, along with partnerships between tech firms and medical institutions, further propel market growth. Cost efficiency and reduced diagnostic errors add momentum to the rapid growth of Global AI in Cancer Diagnostics Market.

Opportunity –Increasing Focus on Diagnostic and Cost Efficiency

The adoption of AI in cancer diagnostics enhances diagnostic accuracy and speeds up the analysis of medical data, leading to quicker results. AI-powered tools can process vast amounts of imaging and genetic data faster than traditional methods, reducing the need for manual interpretation. This efficiency improves patient outcomes and also lowers operational costs for healthcare providers, making advanced diagnostics more accessible and affordable, which is driving market growth in cancer diagnostics.

Impact of Escalating Geopolitical Tensions on Global AI in Cancer Diagnostics Market

Escalating geopolitical tensions could disrupt Global AI in Cancer Diagnostics Market by hindering cross-border collaborations, slowing technological advancements, and limiting access to essential data and research. Trade restrictions may delay the development of AI-driven diagnostic tools, while strained international relations can impact investments and funding. Additionally, regulatory challenges across different regions could further complicate market growth, potentially reducing the adoption of AI solutions in cancer diagnostics and affecting healthcare accessibility globally.

Software Solutions Segment Leads Global AI in Cancer Diagnostics Market

The software solutions segment stands out as the leading component of Global AI in Cancer Diagnostics Market. The market leadership position of AI is fueled by the rising use of AI-driven diagnostic tools for tasks, such as image analysis, biomarker detection, and risk evaluation, which improve both diagnostic precision and efficiency. The incorporation of sophisticated algorithms into healthcare platforms, coupled with increased investments in software advancements, plays a crucial role in boosting its market share. Additionally, the scalability and cost-effectiveness of software solutions across various cancer types further solidify their dominant position in the market.

Competitive Landscape

Global AI in Cancer Diagnostics Market is fiercely competitive, with numerous companies vying for a larger market share. Major companies in the market include Ibex Medical Analytics, Paige AI, PathAI, Tempus, Freenome, Enlitic, CureMetrix, Owkin, DeepBio, AIRA Matrix, Indica Labs, and Mindpeak. These companies use various strategies, including increasing investments in their R&D activities, mergers, and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in Global AI in Cancer Diagnostics Market.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global AI in Cancer Diagnostics Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global AI in Cancer Diagnostics Market and industry insights to help decision-makers make sound strategic decisions. Further, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.


1. Research Framework
1.1. Research Objective
1.2. Product Overview
1.3. Market Segmentation
2. Executive Summary
3. Global AI in Cancer Diagnostics Market Insights
3.1. Industry Value Chain Analysis
3.2. DROC Analysis
3.2.1. Growth Drivers
3.2.1.1. Enhanced Diagnostic Accuracy
3.2.1.2. Early Detection and Prevention
3.2.1.3. Personalized Medicine
3.2.2. Restraints
3.2.2.1. Data Quality and Quantity
3.2.2.2. Ethical Considerations and Bias
3.2.3. Opportunities
3.2.3.1. Increased Efficiency and Reduced Costs
3.2.3.2. Growing Investment and Regulatory Support
3.2.4. Challenges
3.2.4.1. High Cost of Implementation
3.2.4.2. Lack of Clinical Validation and Adoption
3.3. Technological Advancements/Recent Developments
3.4. Regulatory Framework
3.5. Porter’s Five Forces Analysis
3.5.1. Bargaining Power of Suppliers
3.5.2. Bargaining Power of Buyers
3.5.3. Threat of New Entrants
3.5.4. Threat of Substitutes
3.5.5. Intensity of Rivalry
4. Global AI in Cancer Diagnostics Market: Marketing Strategies
5. Global AI in Cancer Diagnostics Market: Geographical Analysis
5.1. Global AI in Cancer Diagnostics Market, Geographical Analysis, 2023
5.2. Global AI in Cancer Diagnostics Market, Market Attractiveness Analysis, 2024–2030
6. Global AI in Cancer Diagnostics Market Overview
6.1. Market Size & Forecast, 2019–2030
6.1.1. By Value (USD Million)
6.2. Market Share & Forecast
6.2.1. By Component
6.2.1.1. Software Solutions
6.2.1.2. Hardware
6.2.1.3. Services
6.2.2. By Cancer Type
6.2.2.1. Breast Cancer
6.2.2.2. Lung Cancer
6.2.2.3. Prostate Cancer
6.2.2.4. Colorectal Cancer
6.2.2.5. Brain Tumor
6.2.2.6. Others
6.2.3. By End User
6.2.3.1. Hospitals
6.2.3.2. Surgical Centers & Medical Institutes
6.2.3.3. Others
6.2.4. By Region
6.2.4.1. North America
6.2.4.2. Europe
6.2.4.3. Asia Pacific (APAC)
6.2.4.4. Latin America (LATAM)
6.2.4.5. Middle East and Africa (MEA)
7. North America AI in Cancer Diagnostics Market
7.1. Market Size & Forecast, 2019–2030
7.1.1. By Value (USD Million)
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Cancer Type
7.2.3. By End User
7.2.4. By Country
7.2.4.1. United States
7.2.4.1.1. By Component
7.2.4.1.2. By Cancer Type
7.2.4.1.3. By End User
7.2.4.2. Canada
7.2.4.2.1. By Component
7.2.4.2.2. By Cancer Type
7.2.4.2.3. By End User
8. Europe AI in Cancer Diagnostics Market
8.1. Market Size & Forecast, 2019–2030
8.1.1. By Value (USD Million)
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Cancer Type
8.2.3. By End User
8.2.4. By Country
8.2.4.1. Germany
8.2.4.1.1. By Component
8.2.4.1.2. By Cancer Type
8.2.4.1.3. By End User
8.2.4.2. United Kingdom
8.2.4.2.1. By Component
8.2.4.2.2. By Cancer Type
8.2.4.2.3. By End User
8.2.4.3. Italy
8.2.4.3.1. By Component
8.2.4.3.2. By Cancer Type
8.2.4.3.3. By End User
8.2.4.4. France
8.2.4.4.1. By Component
8.2.4.4.2. By Cancer Type
8.2.4.4.3. By End User
8.2.4.5. Spain
8.2.4.5.1. By Component
8.2.4.5.2. By Cancer Type
8.2.4.5.3. By End User
8.2.4.6. Belgium
8.2.4.6.1. By Component
8.2.4.6.2. By Cancer Type
8.2.4.6.3. By End User
8.2.4.7. Russia
8.2.4.7.1. By Component
8.2.4.7.2. By Cancer Type
8.2.4.7.3. By End User
8.2.4.8. The Netherlands
8.2.4.8.1. By Component
8.2.4.8.2. By Cancer Type
8.2.4.8.3. By End User
8.2.4.9. Rest of Europe
8.2.4.9.1. By Component
8.2.4.9.2. By Cancer Type
8.2.4.9.3. By End User
9. Asia Pacific AI in Cancer Diagnostics Market
9.1. Market Size & Forecast, 2019–2030
9.1.1. By Value (USD Million)
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Cancer Type
9.2.3. By End User
9.2.4. By Country
9.2.4.1. China
9.2.4.1.1. By Component
9.2.4.1.2. By Cancer Type
9.2.4.1.3. By End User
9.2.4.2. India
9.2.4.2.1. By Component
9.2.4.2.2. By Cancer Type
9.2.4.2.3. By End User
9.2.4.3. Japan
9.2.4.3.1. By Component
9.2.4.3.2. By Cancer Type
9.2.4.3.3. By End User
9.2.4.4. South Korea
9.2.4.4.1. By Component
9.2.4.4.2. By Cancer Type
9.2.4.4.3. By End User
9.2.4.5. Australia & New Zealand
9.2.4.5.1. By Component
9.2.4.5.2. By Cancer Type
9.2.4.5.3. By End User
9.2.4.6. Indonesia
9.2.4.6.1. By Component
9.2.4.6.2. By Cancer Type
9.2.4.6.3. By End User
9.2.4.7. Malaysia
9.2.4.7.1. By Component
9.2.4.7.2. By Cancer Type
9.2.4.7.3. By End User
9.2.4.8. Singapore
9.2.4.8.1. By Component
9.2.4.8.2. By Cancer Type
9.2.4.8.3. By End User
9.2.4.9. Vietnam
9.2.4.9.1. By Component
9.2.4.9.2. By Cancer Type
9.2.4.9.3. By End User
9.2.4.10. Rest of APAC
9.2.4.10.1. By Component
9.2.4.10.2. By Cancer Type
9.2.4.10.3. By End User
10. Latin America AI in Cancer Diagnostics Market
10.1. Market Size & Forecast, 2019–2030
10.1.1. By Value (USD Million)
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Cancer Type
10.2.3. By End User
10.2.4. By Country
10.2.4.1. Brazil
10.2.4.1.1. By Component
10.2.4.1.2. By Cancer Type
10.2.4.1.3. By End User
10.2.4.2. Mexico
10.2.4.2.1. By Component
10.2.4.2.2. By Cancer Type
10.2.4.2.3. By End User
10.2.4.3. Argentina
10.2.4.3.1. By Component
10.2.4.3.2. By Cancer Type
10.2.4.3.3. By End User
10.2.4.4. Peru
10.2.4.4.1. By Component
10.2.4.4.2. By Cancer Type
10.2.4.4.3. By End User
10.2.4.5. Rest of LATAM
10.2.4.5.1. By Component
10.2.4.5.2. By Cancer Type
10.2.4.5.3. By End User
11. Middle East & Africa AI in Cancer Diagnostics Market
11.1. Market Size & Forecast, 2019–2030
11.1.1. By Value (USD Million)
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Cancer Type
11.2.3. By End User
11.2.4. By Country
11.2.4.1. Saudi Arabia
11.2.4.1.1. By Component
11.2.4.1.2. By Cancer Type
11.2.4.1.3. By End User
11.2.4.2. UAE
11.2.4.2.1. By Component
11.2.4.2.2. By Cancer Type
11.2.4.2.3. By End User
11.2.4.3. Qatar
11.2.4.3.1. By Component
11.2.4.3.2. By Cancer Type
11.2.4.3.3. By End User
11.2.4.4. Kuwait
11.2.4.4.1. By Component
11.2.4.4.2. By Cancer Type
11.2.4.4.3. By End User
11.2.4.5. South Africa
11.2.4.5.1. By Component
11.2.4.5.2. By Cancer Type
11.2.4.5.3. By End User
11.2.4.6. Nigeria
11.2.4.6.1. By Component
11.2.4.6.2. By Cancer Type
11.2.4.6.3. By End User
11.2.4.7. Algeria
11.2.4.7.1. By Component
11.2.4.7.2. By Cancer Type
11.2.4.7.3. By End User
11.2.4.8. Rest of MEA
11.2.4.8.1. By Component
11.2.4.8.2. By Cancer Type
11.2.4.8.3. By End User
12. Competitive Landscape
12.1. List of Key Players and Their Offerings
12.2. Global AI in Cancer Diagnostics Company Market Share Analysis, 2023
12.3. Competitive Benchmarking, By Operating Parameters
12.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
13. Global AI in Cancer Diagnostics Market: Import & Export
14. Impact of Escalating Geopolitical Tensions on Global AI in Cancer Diagnostics Market
15. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
15.1. Ibex Medical Analytics
15.2. Paige AI
15.3. PathAI
15.4. Tempus
15.5. Freenome
15.6. Enlitic
15.7. CureMetrix
15.8. Owkin
15.9. DeepBio
15.10. AIRA Matrix
15.11. Indica Labs
15.12. Mindpeak
15.13. Other Prominent Players
16. Key Strategic Recommendations
17. Research Methodology
17.1. Qualitative Research
17.1.1. Primary & Secondary Research
17.2. Quantitative Research
17.3. Market Breakdown & Data Triangulation
17.3.1. Secondary Research
17.3.2. Primary Research
17.4. Breakdown of Primary Research Respondents, By Region
17.5. Assumptions & Limitations
*Financial information of non-listed companies can be provided as per availability.
**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable

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