AI in Oncology Market is worth USD 0.76 billion in 2022 and is estimated to grow at a CAGR of 35.4% in the forecasted period. The forecasted revenue hints at a growth of around 6.4 billion USD by 2029.

AI in Oncology Market Report Overview

The AI in Oncology market report is a comprehensive analysis of the AI in Oncology Market, drawing on both primary and secondary research methods. It provides a detailed analysis of the global and regional market size and share, as well as an in-depth analysis of the AI in Oncology market dynamics and regional insights. This makes the report an invaluable resource for investors and other stakeholders interested in the AI in Oncology market.

AI in Oncology Market Report Scope and Research Methodology

The report provides a detailed analysis of the AI in Oncology market dynamics, including opportunities, restraints, challenges, and drivers. The primary and secondary research methods were used to collect and verify the data for the AI in Oncology market report.

Primary research involved interviews with key players in the AI in Oncology industry, including companies, suppliers, and distributors. The interviews were conducted to understand the current state of the AI in Oncology market, as well as the opportunities and challenges facing the industry.

Secondary research involved a review of industry publications, government reports, and other relevant sources. This research was used to gather additional information about the AI in Oncology market, such as market size, trends, and regulations.

The report also includes a SWOT analysis of the AI in Oncology industry. The SWOT analysis identifies the strengths, weaknesses, opportunities, and threats facing the industry. This information can be used by businesses to develop strategies to capitalize on the opportunities and mitigate the threats.

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AI in Oncology Market Dynamics

Technology advancements have directly streamlined and simplified numerous intricate processes in the oncology market, which has been one of the main drivers of growth. Artificial Intelligence has shown promise in all fields of cancer research since the introduction of digital information. Information on cancer patients' tumors at the molecular level is becoming more and more accessible due to the growth of data sets. AI has also improved the simplicity and accuracy of interpreting medical pictures, including CT, MRI, and X-rays. Risk reduction, medication testing, and analysis of a patient's present and future condition are all now feasible because to AI's success in the cancer sector. Additionally, by customizing each patient's treatment, it is possible to increase the likelihood of a successful outcome.

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AI in Oncology Market Regional Analysis

The report includes a detailed analysis of several key countries including AI in Oncology market size, CAGR, drivers, restraints, opportunities, challenges and a detailed analysis of key players. The regions and the countries covered in the report are:

North America (U.S., Canada, Mexico)
Europe (UK, Germany, France, Spain, Italy, Rest of Europe)
Asia Pacific (China, India, Japan, Australia, South Korea, ASEAN Countries, Rest of APAC)
South America (Brazil)
The Middle East and Africa
AI in Oncology Market Segmentation

by Treatment

1.Chemotherapy
2.Radiotherapy
3.Immunotherapy

The most prevalent kind of cancer, breast cancer, makes for approximately 41% of the AI in oncology industry. Among the five, cervical cancer has the greatest CAGR and is anticipated to increase during the projected time. The market share of AI in oncology is almost equal for lung and prostate cancer. Identification is crucial since early diagnosis aids in the use of specific cancer medications. Of the five forms of cancer, colorectal cancer has the smallest market.

by Components

1.Software Solutions
2.Hardware
3.Services

by Cancer Types

1.Breast Cancer
2.Lung Cancer
3.Cervical cancer
4.Colorectal Cancer
5.Prostate Cancer

by End-User

1.Pharmaceutical & Biotechnology Companies
2. Hospitals
3.Researchers

Based on End User, the three AI market sectors in oncology are Hospitals, Pharma Companies, and Research. Hospitals control about 60% of the market since they are essential for many diagnostic procedures, treatments, and other uses. Although it will take some time for the technology research market to fully develop, it currently holds a sizable market share.

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AI in Oncology Market Key Players

1. IBM - (United States)
2. Siemens Healthcare GmbH - (Germany)
3. Intel Corporation – (United States)
4. Hampton Research (USA)
5. Azra AI –(USA)
6. GE Healthcare – (USA)
7. NVIDIA Corporation – (USA)
8. Digital Diagnostics Inc – (USA)
9. ConcertAI – (USA)
10. PathAI (USA)
11. Tempus – (USA)
12. Paige – (USA)
13. Prognos – (USA)
14. Deep 6 AI – (USA)
15. Proscia – (USA)
16. Inspirata – (USA)
17. Enlitic – (USA)
18. DeepMind – (United Kingdom)
19. Sophia Genetics – (Switzerland)
20. Nanox – (Israel)
21. Ibex Medical Analytics – (Israel)
22. Aidoc – (Israel)
23. Zebra Medical Vision – (Israel)
24. Quantib – (Netherlands)
25. Kheiron Medical Technologies – (United Kingdom)
26. Qure.ai – (India)

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Key Questions answered in the AI in Oncology Market Report are:

What is AI in Oncology ?
What was the AI in Oncology Market size in 2022?
What will be the CAGR of the AI in Oncology market during the forecast period?
Which region held the largest AI in Oncology market share in 2022?
What are the opportunities for the AI in Oncology Market?
What are the factors driving the AI in Oncology market growth?
What factors are hampering the AI in Oncology market growth?
Which company held the largest share in the AI in Oncology market?
What key trends are likely to emerge in the AI in Oncology market in the coming years?
What growth strategies are the players considering to increase their presence in AI in Oncology Market?
Key offerings:

Past Market Size and Competitive Landscape (2018 to 2021)
Past Pricing and price curve by region (2018 to 2021)
Market Size, Share, Size & Forecast by different segment | 2023−2029
Market Dynamics – Growth Drivers, Restraints, Opportunities, and Key Trends by region
Market Segmentation – A detailed analysis of segments and sub-segments
Competitive Landscape – Profiles of selected key players by region from a strategic perspective
Competitive landscape – Market Leaders, Market Followers, Regional player
Competitive benchmarking of key players by region
PESTLE Analysis
PORTER’s analysis
Value chain and supply chain analysis
Legal Aspects of business by region
Lucrative business opportunities with SWOT analysis
Recommendations
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