Global AI In Oncology Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

Description

List of Tables

The global demand for AI In Oncology Market is presumed to reach the market size of nearly USD 9.3 Billion by 2032 from USD 4.02 Billion in 2023 with a CAGR of 9.77% under the study period 2024 - 2032.

AI in Oncology involves using artificial intelligence (AI), such as machine learning algorithms, in cancer diagnosis, treatment planning, and research. AI tools analyze vast amounts of medical data, including imaging studies, genetic information, and clinical records, to assist healthcare professionals in making more precise and personalized decisions. These technologies can enhance early cancer detection, predict treatment outcomes, and recommend tailored therapies. Artificial Intelligence for oncology holds promise for improving patient outcomes, optimizing treatment strategies, and advancing our understanding of cancer biology.

MARKET DYNAMICS

The AI in oncology market is propelled by the increasing complexity of cancer diagnosis and treatment decisions, leading to a growing reliance on artificial intelligence (AI) solutions in oncology. AI applications, including machine learning and image analysis, assist healthcare professionals in interpreting medical images, identifying biomarkers, and personalized treatment plans. The vast amount of oncological data, coupled with the need for precision medicine, drives the adoption of AI in oncology. The ability to enhance diagnostic accuracy, predict treatment responses, and optimize patient outcomes contributes to market growth. Additionally, collaborations between technology companies and healthcare institutions and regulatory support for AI-based medical solutions further boost AI in oncology market.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai in oncology. The growth and trends of ai in oncology industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the ai in oncology market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component Type

Software Solutions
Hardware
Services

By Cancer Type

Breast Cancer
Lung Cancer
Prostate Cancer
Colorectal Cancer
Brain Tumor
Others

By Application

Diagnostics (Pathology, Cancer Radiology)
Radiation Therapy (Radiotherapy)
Research & Development (Drug Design, Development Process, Etc.)
Chemotherapy
Immunotherapy

By End-Use Type

Hospitals
Surgical Centers & Medical Institutes
Others (Pharmaceutical Companies, Research Institutes & Training Centers)

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the AI In Oncology market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI In Oncology market include Azra AI, IBM, Siemens Healthcare GmbH, Intel Corporation, GE HealthCare, Nvidia Corporation, Digital Diagnostics Inc., ConcertAI, Median Technologies, PathAI. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

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Product Code: VMR112113824

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . AI IN ONCOLOGY - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component Type
- 3.7.2 Market Attractiveness Analysis By Cancer Type
- 3.7.3 Market Attractiveness Analysis By Application
- 3.7.4 Market Attractiveness Analysis By End-use Type
- 3.7.5 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL AI IN ONCOLOGY MARKET ANALYSIS BY COMPONENT TYPE

5.1 Overview by Component Type
5.2 Historical and Forecast Data
5.3 Analysis by Component Type
5.4 Software Solutions Historic and Forecast Sales by Regions
5.5 Hardware Historic and Forecast Sales by Regions
5.6 Services Historic and Forecast Sales by Regions

6 . GLOBAL AI IN ONCOLOGY MARKET ANALYSIS BY CANCER TYPE

6.1 Overview by Cancer Type
6.2 Historical and Forecast Data
6.3 Analysis by Cancer Type
6.4 Breast Cancer Historic and Forecast Sales by Regions
6.5 Lung Cancer Historic and Forecast Sales by Regions
6.6 Prostate Cancer Historic and Forecast Sales by Regions
6.7 Colorectal Cancer Historic and Forecast Sales by Regions
6.8 Brain Tumor Historic and Forecast Sales by Regions
6.9 Others Historic and Forecast Sales by Regions

7 . GLOBAL AI IN ONCOLOGY MARKET ANALYSIS BY APPLICATION

7.1 Overview by Application
7.2 Historical and Forecast Data
7.3 Analysis by Application
7.4 Diagnostics (Pathology, Cancer Radiology) Historic and Forecast Sales by Regions
7.5 Radiation Therapy (Radiotherapy) Historic and Forecast Sales by Regions
7.6 Research & Development (Drug Design, Development Process, etc.) Historic and Forecast Sales by Regions
7.7 Chemotherapy Historic and Forecast Sales by Regions
7.8 Immunotherapy Historic and Forecast Sales by Regions

8 . GLOBAL AI IN ONCOLOGY MARKET ANALYSIS BY END-USE TYPE

8.1 Overview by End-use Type
8.2 Historical and Forecast Data
8.3 Analysis by End-use Type
8.4 Hospitals Historic and Forecast Sales by Regions
8.5 Surgical Centers & Medical Institutes Historic and Forecast Sales by Regions
8.6 Others (Pharmaceutical Companies, Research Institutes & Training Centers) Historic and Forecast Sales by Regions

9 . GLOBAL AI IN ONCOLOGY MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1. Overview, Historic and Forecast Data Sales Analysis
- 9.3.2. North America By Segment Sales Analysis
- 9.3.3. North America By Country Sales Analysis
- 9.3.4. United State Sales Analysis
- 9.3.5. Canada Sales Analysis
- 9.3.6. Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1. Overview, Historic and Forecast Data Sales Analysis
- 9.4.2. Europe by Segment Sales Analysis
- 9.4.3. Europe by Country Sales Analysis
- 9.4.4. United Kingdom Sales Analysis
- 9.4.5. France Sales Analysis
- 9.4.6. Germany Sales Analysis
- 9.4.7. Italy Sales Analysis
- 9.4.8. Russia Sales Analysis
- 9.4.9. Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1. Overview, Historic and Forecast Data Sales Analysis
- 9.5.2. Asia Pacific by Segment Sales Analysis
- 9.5.3. Asia Pacific by Country Sales Analysis
- 9.5.4. China Sales Analysis
- 9.5.5. India Sales Analysis
- 9.5.6. Japan Sales Analysis
- 9.5.7. South Korea Sales Analysis
- 9.5.8. Australia Sales Analysis
- 9.5.9. South East Asia Sales Analysis
- 9.5.10. Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1. Overview, Historic and Forecast Data Sales Analysis
- 9.6.2. Latin America by Segment Sales Analysis
- 9.6.3. Latin America by Country Sales Analysis
- 9.6.4. Brazil Sales Analysis
- 9.6.5. Argentina Sales Analysis
- 9.6.6. Peru Sales Analysis
- 9.6.7. Chile Sales Analysis
- 9.6.8. Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1. Overview, Historic and Forecast Data Sales Analysis
- 9.7.2. Middle East & Africa by Segment Sales Analysis
- 9.7.3. Middle East & Africa by Country Sales Analysis
- 9.7.4. Saudi Arabia Sales Analysis
- 9.7.5. UAE Sales Analysis
- 9.7.6. Israel Sales Analysis
- 9.7.7. South Africa Sales Analysis
- 9.7.8. Rest Of Middle East And Africa Sales Analysis

10 . COMPETITIVE LANDSCAPE OF THE AI IN ONCOLOGY COMPANIES

10.1. Ai In Oncology Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11 . COMPANY PROFILES OF AI IN ONCOLOGY INDUSTRY

11.1. Company Share Analysis
11.2. Market Concentration Rate
11.3. Azra AI
- 11.3.1. Company Overview
- 11.3.2. Company Revenue
- 11.3.3. Products
- 11.3.4. Recent Developments
11.4. IBM
- 11.4.1. Company Overview
- 11.4.2. Company Revenue
- 11.4.3. Products
- 11.4.4. Recent Developments
11.5. Siemens Healthcare GmbH
- 11.5.1. Company Overview
- 11.5.2. Company Revenue
- 11.5.3. Products
- 11.5.4. Recent Developments
11.6. Intel Corporation
- 11.6.1. Company Overview
- 11.6.2. Company Revenue
- 11.6.3. Products
- 11.6.4. Recent Developments
11.7. GE HealthCare
- 11.7.1. Company Overview
- 11.7.2. Company Revenue
- 11.7.3. Products
- 11.7.4. Recent Developments
11.8. Nvidia Corporation
- 11.8.1. Company Overview
- 11.8.2. Company Revenue
- 11.8.3. Products
- 11.8.4. Recent Developments
11.9. Digital Diagnostics Inc.
- 11.9.1. Company Overview
- 11.9.2. Company Revenue
- 11.9.3. Products
- 11.9.4. Recent Developments
11.10. ConcertAI
- 11.10.1. Company Overview
- 11.10.2. Company Revenue
- 11.10.3. Products
- 11.10.4. Recent Developments
11.11. Median Technologies
- 11.11.1. Company Overview
- 11.11.2. Company Revenue
- 11.11.3. Products
- 11.11.4. Recent Developments
11.12. PathAI
- 11.12.1. Company Overview
- 11.12.2. Company Revenue
- 11.12.3. Products
- 11.12.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies