
We explore 7 key trends that we think will shape the oncology market in 2026 and beyond:
- New IO backbones built around 1.) PD-(L)1×VEGF, 2.) checkpoint-plus bispecifics, and 3.) early solid-tumor cell therapy 2.0
- Antibody-Drug Conjugate (ADC) 2.0 platforms that differentiate on targets, linkers, manufacturability, and combination strategy
- Radiopharmaceuticals moving earlier in treatment and entering a true combination and “alpha era”
- Diagnostics evolving from standalone tests into care-delivery products, with circulating tumor DNA Minimal Residual Disease (ctDNA-MRD) and multi-cancer early detection (MCED) at the core
- Patient “ownership” and care delivery becoming a bottleneck as complex therapies expand beyond traditional oncology settings
- The cross-cutting role for artificial intelligence (AI) in oncology, as it moves from pilots to infrastructure and touches everything from trial design and imaging to diagnostics, sourcing, and patient navigation
- China-to-global sourcing models that are resetting expectations on speed, pricing, and execution under growing policy scrutiny