The report includes:
- Impact analysis of artificial intelligence (AI) on the global lung cancer therapeutics market
- Case studies for successful integration of AI and machine learning in drug discovery, biomarker identification, patient stratification and clinical trial optimization
- Highlights of AI adoption trends across major geographical regions, as well as disruptions caused by AI across key oncology, pharmaceutical and biotechnology industry verticals
- AI’s role in precision medicine, therapeutic development, treatment planning and clinical decision-making in lung cancer care
- Review of AI impact on the various stages of the global lung cancer therapeutics development and supply chain analysis
- Competitive landscape featuring key strategic initiatives, market spendings and an investment outlook
Table of Contents
Chapter 1 Key Use Cases for AI Implementation- Overview
- Key Use Cases
- Use Case 1: Manufacturing and Logistics
- Use Case 2: Healthcare
- Overview
- Adoption Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Overview
- Impact of AI on Key Industry Verticals
- Non-Small Cell Lung Cancer (NSCLC)
- Small Cell Lung Cancer (SCLC)
- Impact of AI on Various Stages of the Value Chain
- Biomarker Identification
- Manufacturing and Quality Control
- Streamlining Clinical Trials
- Overview
- Market Spending and Forecasting Analysis
- Key Spending by Lung Cancer Therapeutics Companies on AI
- Venture Capital Investment in AI Focused on Relevant Technologies and Products
- Notable Investments by Major Companies in AI
- Abbreviations Used in the Report
Table 1: Global Investment in Lung Cancer Therapeutics Market, 2024
Table 2: Key Spending by Companies on AI, 2025
Table 3: Key Spending by Companies on AI, 2021-2025
Table 4: Abbreviations Used in This Report
List of Figures
Figure 1: Value Chain for the Global Lung Cancer Therapeutics Market

