Global Artificial Intelligence in Oncology Market, By Component (Software/Platform, Hardware, Services), By Cancer Type (Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Others), By Treatment Type (Chemotherapy, Radiotherapy, Immunotherapy, Others), By End User (Hospitals & Clinics, Diagnostic Centers, Biopharmaceutical Companies, Others), By Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa)
Artificial intelligence (AI) plays an important role in oncology. There are various types of AI products that are helping in cancer screening, diagnosis, treatment, and drug development. One of the major products is an AI-assisted cancer screening tool. These tools use deep learning algorithms that have been trained on huge databases of medical images. They help physicians detect abnormalities in scans like CT, MRI, or mammograms. They can rapidly analyze a large number of images and highlight suspect areas that the doctor may miss with human screening alone. This improves the accuracy of detecting tumors at early stages and increases the number of lives saved. However, the algorithms need continuous updates with new data to improve over time. Misdiagnosis is also a risk because the AI may not be able to distinguish rare cancer types effectively.
Other important applications include the use of AI in cancer diagnostics, prognosis, and therapeutics. Using machine learning on vast pools of genomic and clinical cancer datasets, AI can recognize complex patterns, emerge with new insights, and predict treatment responses better than humans. This helps with customized and targeted therapy. AI is also speeding up drug development by assisting in target identification, compound screening, and clinical trial optimization.
Market Dynamics:
Rising cancer incidence coupled with the increasing complexity of cancer treatment decisions is a key factor driving the adoption of AI solutions in oncology. The growing availability of digital health data and computational power is facilitating the development of advanced AI technologies. However, the high investment and costs required for the development of precision and clinical-grade AI solutions are a major restraint. Lack of interpretability and understanding of how AI arrives at its decisions also limits widespread adoption. Meanwhile, the potential of AI to help overcome drug resistance by enabling personalized treatment selection presents an opportunity. Partnerships between technology companies and research institutes aim to further validate the clinical applicability of AI.
Among regions, North America dominates the market due to high healthcare expenditures and better access to care. However, Asia Pacific is poised to be the fastest-growing market arena, led by countries like China and India. This growth can be attributed to growing economies, rising disposable incomes, expanding medical infrastructure, and the increasing adoption of technologically advanced cancer diagnostic tools.
Key features of the study:
This report provides in-depth analysis of the global artificial intelligence in oncology market, and provides market size (US$ Mn) and compound annual growth rate (CAGR%) for the forecast period (2023–2030), considering 2022 as the base year
It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
It profiles key players in the global artificial intelligence in oncology market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
Key companies covered as a part of this study include Azra AI, IBM Corporation, Siemens Healthineers AG, Intel Corporation, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., ConcertAI, Median Technologies, PathAI, Microsoft, Zebra Medical Vision, and Babylon
Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
The global artificial intelligence in oncology market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in oncology market
Global Artificial Intelligence in Oncology Market Segmentation:
By Component
Software/Platform
Hardware
Services
By Cancer Type
Breast Cancer
Lung Cancer
Prostate Cancer
Colorectal Cancer
Brain Tumor
Others
By Treatment Type
Chemotherapy
Radiotherapy
Immunotherapy
Others
By End User:
Hospitals & Clinics
Diagnostic Centers
Biopharmaceutical Companies
Others
By Region
North America
Latin America
Europe
Asia Pacific
Middle East
Africa
Top companies in Global Artificial Intelligence in Oncology Market:
Azra AI
IBm Corporation
Siemens Healthineers AG
Intel Corporation
GE HealthCare
NVIDIA Corporation
Digital Diagnostics Inc.
ConcertAI
Median Technologies
PathAI
Microsoft
Zebra Medical Vision
Babylon
1. Research Objectives and Assumptions
Research Objectives
Assumptions
Abbreviations
2. Market Purview
Report Description
Market Definition and Scope
Executive Summary
Top 3 Market Findings
Top 3 Market Opportunity
3. Key Industry Insights
Market Dynamics
Drivers
Restraints
Opportunities
Impact Analysis
Pest Analysis
Porters Analysis
Technological Advancement
Merger, Acquisition and Collaboration Scenario
Recent Product Approvals/Launches
Company Market Share Analysis
4. Artificial Intelligence In Oncology Market, By Component Type, 2018 - 2030 ( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Segment Trends
Software Solutions, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Hardware, 2018 - 2030( US$ Million
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Services, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
5. Artificial Intelligence In Oncology Market, By Cancer Type, 2018 - 2030 ( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Segment Trends
Breast Cancer, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Lung Cancer, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Prostate Cancer, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Colorectal Cancer, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Brain Tumor, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Others, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
6. Artificial Intelligence In Oncology Market, By Treatment Type, 2018 - 2030 ( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Segment Trends
Chemotherapy, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Radiotherapy, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Immunotherapy, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
Others, 2018 - 2030( US$ Million)
Introduction
Market Size and Forecast, 2018 - 2030, ( US$ Million)
7. Artificial Intelligence In Oncology Market, By Region, 2018-2030, (US$ Mn)