Oncology Drug Discovery & Development Market Expected to Grow at a CAGR of 18.2% from 2023 to 2031 | Reveals InsightAce Study

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InsightAce Analytic Pvt. LTd.
InsightAce Analytic Pvt. LTd.

Companies covered in this study are Novartis, AstraZeneca, Merck & Co., Inc, Bristol-Myers Squibb, Pfizer, Eli Lilly and Company, Gilead Sciences, Regeneron Pharmaceuticals, Takeda Pharmaceutical Company, Sanofi, Bayer AG, GlaxoSmithKline plc., Genentech, Inc., AbbVie Inc

Jersey City, NJ, Nov. 22, 2023 (GLOBE NEWSWIRE) -- InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global Oncology Drug Discovery & Development Market- (By Drug/Therapy (Chemotherapy, Targeted Therapy, Immunotherapy, Hormone Therapy, Others), By Cancer Type (Lung Cancer, Breast Cancer, Colorectal Cancer, Prostate Cancer, Leukemia Cancer, Lymphoma Cancer, Ovarian Cancer, Others), By Stage (Discovery Phase, Preclinical Phase, Clinical Trials & Others)), Trends, Industry Competition Analysis, Revenue and Forecast To 2031."

According to the latest research by InsightAce Analytic, the Global Oncology Drug Discovery & Development Market is expected to represent a CAGR of 18.2% during the forecast period of 2023-2031.

Oncology medication research and development is a time-consuming and resource-intensive process that frequently takes years and requires collaboration among academics, industry, and regulatory authorities. Understanding cancer biology, as well as technical advancements, continues to change and accelerate this discipline. The oncology drug discovery and development field is experiencing tremendous growth due to several key factors driving its progress. The continuous increase in global cancer incidence has spurred extensive research and development efforts.


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Furthermore, integrating (AI) and (ML) technologies has revolutionized the landscape of oncology drug discovery and development. These advanced computational methods enable the swift analysis of intricate biological data, empowering researchers to identify potential drug targets, forecast drug responses, and design optimized treatment plans. By harnessing AI-driven algorithms, pharmaceutical companies can streamline the drug development process, reducing expenses and expediting the introduction of novel oncology therapies. The global prevalence of cancer continues to increase, leading to a significant demand for new and improved cancer treatments. Moreover, ongoing research into cancer biology, genomics, and immunology has shown a deeper understanding of the disease, enabling the development of more targeted and personalized therapies.