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AI in Oncology Market size was valued at around USD 1.9 billion in 2023 and is estimated to reach over USD 17.9 billion by 2032. Artificial intelligence (AI) in oncology refers to the utilization of machine learning algorithms and data analytics to assist in the diagnosis, treatment, and management of cancer by analyzing vast amounts of biomedical data including medical imaging, genomic sequencing, and patient records.
AI technologies can provide valuable insights to support clinical decision-making in oncology. The increasing prevalence of cancer is a significant driver for the market. For instance, according to World Health Organization (WHO) in 2020, reported that cancer emerged as a prominent contributor to global mortality, claiming approximately 10 million lives globally. Thus, the demand for effective oncological treatments, early detection technologies, and supportive care services are expected to rise.
Furthermore, market growth is attributed to multiple factors, including the rising need for early cancer detection and classification, expanding adoption of precision medicine, which estimated to reach 112.8 billion by 2027, and rapid advancements in healthcare infrastructure.
Report Attribute | Details |
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Base Year: | 2023 |
AI in Oncology Market Size in 2023: | USD 1.9 Billion |
Forecast Period: | 2024 to 2032 |
Forecast Period 2024 to 2032 CAGR: | 29.2% |
2032 Value Projection: | USD 17.9 Billion |
Historical Data for: | 2018 – 2023 |
No. of Pages: | 205 |
Tables, Charts & Figures: | 290 |
Segments covered: | Component, Cancer Type, Application, End-use, and Region |
Growth Drivers: |
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Pitfalls & Challenges: |
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