Global Info Research‘s report is a detailed and comprehensive analysis for global Artificial Intelligence (AI) in Cancer market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Type and by Application. As the Artificial Intelligence (AI) in Cancer market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
According to our (Global Info Research) latest study, the global Artificial Intelligence (AI) in Cancer market size was valued at US$ 2475 million in 2025 and is forecast to a readjusted size of US$ 8031 million by 2032 with a CAGR of 18.2% during review period.
Artificial Intelligence (AI) in Cancer refers to the application of machine learning, deep learning, and data-driven computational models across the oncology care continuum to support cancer screening, diagnosis, treatment planning, and outcome prediction. AI systems in oncology analyze large volumes of heterogeneous data, including medical imaging, digital pathology slides, genomic and multi-omics data, and real-world clinical records, to detect patterns that exceed human cognitive limits. In clinical practice, these solutions function primarily as decision-support tools, improving diagnostic accuracy, standardizing interpretation, accelerating workflows, and enabling more personalized treatment strategies. Rather than replacing oncologists, AI augments clinical expertise by reducing variability and supporting earlier and more consistent cancer detection and management.
From a multi-angle classification and parameterization perspective, the market can be segmented by clinical application stage (screening and early detection, diagnosis and classification, treatment planning, therapy monitoring, and prognosis), by data modality (imaging-based, pathology-based, genomics-based, clinical data-driven, or multimodal fusion), and by cancer type (lung, breast, colorectal, prostate, hematologic, and rare cancers). Additional parameters that differentiate solutions include sensitivity and specificity at defined clinical thresholds, explainability of AI outputs, integration with hospital IT systems, regulatory clearance status, and scalability across institutions and geographies.
The industry value chain begins upstream with data generation and infrastructure providers, including imaging equipment manufacturers, sequencing platforms, digital pathology scanners, and cloud computing services. Midstream players consist of AI oncology solution developers that curate datasets, train models, and package algorithms into regulated software or integrated platforms. Downstream customers include hospitals, cancer centers, diagnostic laboratories, pharmaceutical companies, and population-level screening programs, often adopting AI tools through enterprise licenses or software-as-a-service models.
From a profitability standpoint, AI in Cancer solutions typically exhibit gross margins in the 65–85% range, reflecting their software-centric economics once development and regulatory costs are absorbed. Cloud-based platforms and AI-as-a-service models tend to achieve the highest margins, while device-embedded solutions trade some margin for faster adoption through OEM partnerships. Market growth is driven by rising cancer incidence, shortages of oncology specialists, increasing data complexity, and the shift toward precision medicine. Key trends include multimodal data integration, expansion from detection to outcome prediction, deeper OEM and hospital integration, and growing use of AI to support value-based oncology care.
This report is a detailed and comprehensive analysis for global Artificial Intelligence (AI) in Cancer market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Market segment by Type: Medical Imaging–based AI、 Digital Pathology–based AI、 Genomics & Multi-omics AI、 Others
Market segment by Application:Lung Cancer、 Breast Cancer、 Colorectal & GI Cancers、 Prostate & Urological Cancers、 Hematologic & Rare Cancers、 Others
Major players covered: PathAI、 PaigeAI、 Lunit、 INFERVISION TECHNOLOGY、 Aidoc、 VUNO, Inc.、 ANNALISE-AI PTY LTD、 BioMind、 YITU Technology、 Shukun Technology、 Beijing Huiyi Huiying Medical Technology、 Shenzhen Keya Medical Technology、 Densitas、 Volpara、 Niramai、 MVision AI、 MammoScreen、 Perimeter Medical Imaging AI、 ICAD、 LungLifeAI、 Nanox.AI、 Varian Medical Systems、 Canon Medical、 GE Healthcare、 Philips
To Get More Details About This Study, Please Click Here: https://www.globalinforesearch.com/reports/3405642/artificial-intelligence--ai--in-cancer
The overall report focuses on primary sections such as – market segments, market outlook, competitive landscape, and company profiles. The segments provide details in terms of various perspectives such as end-use industry, product or service type, and any other relevant segmentation as per the market’s current scenario which includes various aspects to perform further marketing activity. The market outlook section gives a detailed analysis of market evolution, growth drivers, restraints, opportunities, and challenges, Porter’s 5 Force’s Framework, macroeconomic analysis, value chain analysis and pricing analysis that directly shape the market at present and over the forecasted period. The drivers and restraints cover the internal factors of the market whereas opportunities and challenges are the external factors that are affecting the market. The market outlook section also gives an indication of the trends influencing new business development and investment opportunities.
The Primary Objectives in This Report determine the size of the total market opportunity of global and key countries,assess the growth potential for Artificial Intelligence (AI) in Cancer and competitive factors affecting the marketplace,forecast future growth in each product and end-use market. Also,this report profiles key players in the global Artificial Intelligence (AI) in Cancer market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments.
Artificial Intelligence (AI) in Cancer market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by region, regional analysis covers North America (United States, Canada, and Mexico),Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe),Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia),South America (Brazil, Argentina, Colombia, and Rest of South America),Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa).
The report provides insights regarding the lucrative opportunities in the Artificial Intelligence (AI) in Cancer Market at the country level. The report also includes a precise cost, segments, trends, region, and commercial development of the major key players globally for the projected period.
The Artificial Intelligence (AI) in Cancer Market report comprehensively examines market structure and competitive dynamics. Researching the Artificial Intelligence (AI) in Cancer market entails a structured approach beginning with clearly defined objectives and a comprehensive literature review to understand the current landscape. Methodologies involve a mix of primary research through interviews, surveys, and secondary research from industry reports and databases. Sampling strategies ensure representation, while data analysis utilizes statistical and analytical techniques to identify trends, market sizing, and competitive landscapes. Key areas of focus include trend analysis, risk assessment, and forecasting. Findings are synthesized into a detailed report, validated through peer review or expert consultation, and disseminated to stakeholders, with ongoing monitoring to stay abreast of developments.
Global Info Research is a company that digs deep into global industry information to support enterprises with market strategies and in-depth market development analysis reports. We provides market information consulting services in the global region to support enterprise strategic planning and official information reporting, and focuses on customized research, management consulting, IPO consulting, industry chain research, database and top industry services. At the same time, Global Info Research is also a report publisher, a customer and an interest-based suppliers, and is trusted by more than 30,000 companies around the world. We will always carry out all aspects of our business with excellent expertise and experience.
Contact Us:
Global Info Research
Web: https://www.globalinforesearch.com
Email: report@globalinforesearch.com
CN: 0086-176 6505 2062
HK: 00852-58030175
No comments:
Post a Comment