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 Overview:
This AI in Oncology Market analysis examines present and developing market trends and dynamics in the worldwide level sensor market. AI in Oncology Market In-depth market forecasting for the main market segments between 2021 and 2027 is carried out. Extensive AI in Oncology Market analysis is carried out by attentively monitoring important product positioning and the market framework's top competitors. Key competitors are profiled and their tactics are extensively examined to grasp the competitive perspective of the global AI in Oncology Market .
The COVID-19 pandemic has had a severe influence on the worldwide AI in Oncology Market business. AI in Oncology Market production facilities have been suspended due to global downturn and personnel scarcity. The COVID-19 pandemic has resulted in a severe and prolonged decline in production utilization, and travel bans and facility closures have kept employees away from their facilities, resulting in a slowdown in the growth of the AI in Oncology Market in 2020. However, the negative impact of COVID-19 on the AI in Oncology Market is projected to be temporary, and the industry is predicted to rebound rapidly by early 2021, owing to the high demand for AI in Oncology Market .
AI in Oncology Market Scope:
The research includes an up-to-date study of the current AI in Oncology Market landscape, as well as the most recent trends and drivers, as well as an overview of the overallAI in Oncology Market environment. The market is being driven by increased demand for AI in Oncology Market . The AI in Oncology Market study looks at the technology, end-user, and type categories, etc. as well as the regional landscape.
AI in Oncology Market Dynamic:
The key drivers for growth are advances in technology which has directly simplified and streamlined many complex processes in the Oncology market. With the advent of digital information, AI has showed promise across all cancer research areas. With the increasing expansion of data sets, molecular-level tumour information from cancer patients can be easily obtained. AI also has made analysing medical images, such as X-rays, CT scans, and MRIs simpler and more accurate. Risk mitigation, Drug testing, Analysis of current and future status of a patient, all has been possible as AI in oncology market has fared well. Also, treatments regarding each patient can be well directed and specialized increasing the chances of cure through such modified treatments. Another driving factor in AI in Oncology market is the use of Machine Learning. These technologies have enhanced robotics in oncology market. Robots can identify data from enormous dataset and recognize specific patterns. This has allowed the creation of advanced robots that can do complicated jobs, which mitigates the risk quotient to a significant limit. Robots can also learn, forecast, and optimise using the data allowing predictive maintenance and quality control. Example – Illumina released Connected Insights to enable tertiary analysis for oncology and uncommon disorders.
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AI in Oncology Market Segmentation:
by Treatment
1.Chemotherapy
2.Radiotherapy
3.Immunotherapy
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
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AI in Oncology Market Key Players:
The market research study includes thorough quantitative insights that offer a clear picture of the global market potential in numerous categories, as well as country-by-country analysis in each covered area. The study examines the market's main affecting elements, as well as detailed company profiles of….
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)
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Regional Analysis:
The region segment of the AI in Oncology Market analysis also contains individual market influencing aspects and changes in market regulations that affect current and future market trends. Data points such as downstream and upstream value chain analysis, technological trends, porter's five forces analysis, and case studies are just a few of the indicators used to forecast market scenarios for various areas. When analyzing prediction data for the region, the existence and availability of global players, as well as the difficulties they encounter owing to large or low to none rivalry from local and domestic brands, are all taken into account.
Key Questions Answered in the AI in Oncology Market Report are:
- Which segment emerged as the leading segment in the AI in Oncology Market ?
- Which are the key players in the AI in Oncology Market ?
- What trends are likely to emerge in the AI in Oncology Market in the coming years?
- What will be the AI in Oncology Market size by 2027?
- Which company held the largest share in the AI in Oncology Market in 2020?
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