Report ID – HGRI3327
Report Segment | Healthcare > HealthTech
AI in Oncology Market Overview:
The market for AI in Oncology was valued at XX Mn USD in the year 2023 and expected to reach XX Mn by the year 2030. The CAGR for the market is XX% during the period 2019 -2030.
AI in Oncology is a transformative tool which is changing the strategy to treat cancer. The market is expected to grow as there are rising cases of cancer and early and precise cancer diagnosis is needed .A GI GeniusTM intelligent endoscopy module was introduced by Medtronic plc in August 2022 which will help medical professionals identify colorectal cancer. An AI model has been developed which can determine whether cancerous tissue has been completely removed from the body during breast cancer surgery by collaboration between the UNC Department of Surgery and UNC Lineberger Comprehensive Cancer Centre. M2Gen and Zephyr AI partnered in February 2023 with the goal of advancing drug and target discovery for precision oncology treatments.
AI in Oncology Market Dynamics:
AI in Oncology Market Report Segments Overview:
AI in Oncology Market Regional Outlook:
North America:
The Market is dominated by North America. The US is a leading country with advanced digital infrastructure, regulatory frameworks, and growing government initiatives to promote the use of AI technology. One of the main reasons driving the expansion of the market under study in North America is an increase in government reimbursements in the United States. According to a study done by the American Society of Clinical Oncology, in 2022, medical oncology treatment costs in the US were down by about 5%. (We need to make all the regional insights more detailed. Short description will not give a brief idea about the regional growth.)(Good job)
Asia Pacific:
Japan is leading in the Asia Pacific region, which is predicted to grow at the fastest rate. The increase in digitalization adoption in diagnostic labs and hospitals is ascribed to the population growing and rising cancer prevalence. GE Healthcare and the National Cancer Centre Singapore partnered in June 2022 with the goal of utilising artificial intelligence to enhance cancer treatment. The goal of this partnership is to improve the prospects for treating particular cancer types. The market’s regional expansion is also a result of these initiatives.
Europe:
Europe due to world-class research institutions and significant investments in healthcare technology is the leading country in the UK.Europe is the top country in the UK because of its top-notch research institutions and large investments in medical technology. AI is being used extensively in the diagnosis and treatment of cancer by organisations like the German Cancer Research Centre (DKFZ). Together with other European nations, the Netherlands and Switzerland make substantial contributions to AI in cancer research in addition to these key countries.
South America:
Brazil stands out in South America for its advancements in AI in oncology due to its burgeoning tech landscape, a growing pool of skilled professionals.Chile and Colombia, among other South American nations, are making significant advancements in incorporating artificial intelligence into the field of oncology. In Chile, there has been a notable increase in projects connected to artificial intelligence (AI). These include the implementation of AI-based methods to analyse medical images for cancer detection, resulting in a healthcare AI investment growth rate of around 9.2%.
Middle East & Africa:
South Africa’s commitment to addressing the healthcare gap and personalised cancer care positions it as leading country in driving oncological innovation in the MEA. By 2030, the UAE plans to invest approximately $13.6 billion in AI technologies as part of its healthcare transformation efforts. Saudi Arabia has dedicated $54 billion through its National Transformation Program to advance healthcare by incorporating artificial intelligence for personalised cancer treatment.
AI in Oncology Market Players Mapping:
| IBM | US |
| GE Healthcare | US |
| Azra AI | US |
| Siemens Healthineers | Germany |
| Intel Corporation | US |
| NVIDIA Corporation | US |
| Concert AI | US |
| Path AI | US |
| Median Technologies | France |
| Digital Diagnostics | US |
| Leaders Board |
AI in Oncology Market Coverage:
By Component
By Cancer Type
By Treatment Type
By End User Type
By Region:
AI in Oncology Market Report Outlook
| AI in Oncology Market Coverage | 2019- 2030 |
| AI in Oncology Market Fastest Growing Region | North America |
| AI in Oncology Market Fastest Growing Segment | XX |
| AI in Oncology Market Forecast | 2024 – 2030 |
| AI in Oncology Market Historical Data | 2019 – 2022 |
| AI in Oncology Market Base Year | 2023 |
| AI in Oncology Market Competition Benchmarking | 10 + Key Players Mapping |
| AI in Oncology Market Report Format | PPT + PDF + Excel |
Report Use Cases:
AI in Oncology market – Key players GRI Score curated by analyst team.

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Regional Revenue Analysis
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Market Sizing Using Top-Down Approach
In our market sizing using the top-down approach, we started by analyzing macroeconomic indicators and industry data to estimate the total addressable market (TAM). We then segmented the TAM based on relevant criteria to arrive at the market size for each segment. This approach provides a high-level view of the market size, serving as a valuable reference point for further analysis.
Market Sizing Using Bottom-Up Approach
Conversely, our market sizing using the bottom-up approach involved aggregating individual sales data from companies operating in the market to estimate the total market size. This granular approach allows for a detailed assessment of market size, providing insights into the revenue generated by each player and segment. This method is particularly useful for validating market trends and identifying growth opportunities at a more detailed level.
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Business Interactions: Our team engages with businesses to gather insights and feedback on market conditions and trends. By building relationships with industry players, we gain valuable perspectives that inform our research and analysis.


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