ABI Analytics
Oncology Research  |  Free Report

The Biosimilar Cliff Landscape:
U.S. Cancer Treatment Market

Which blockbuster cancer biologics lose exclusivity, when biosimilars enter, and what the next wave – led by Keytruda's $25bn 2028 cliff – means for developers, payers and investors. Built on FDA Purple and Orange Book data.

2026 Edition  |  PDF
ABI Analytics Biosimilar Cliff Landscape, oncology report cover

$9.6bn

Market, 2025

Global oncology biosimilars, on a path to $17.5bn by 2030

76–90%

Wave 1 share

Biosimilar volume already captured on the first antibodies

$25bn+

Keytruda cliff

Revenue exposed at the 2028 U.S. loss of exclusivity

50–70%

Price discount

Typical ASP erosion at biosimilar steady state

What's Inside

An Exhaustive, Data-Grounded Oncology Cliff Map

Fourteen pages of analysis tracing the two-wave structure of oncology biosimilar competition, from the now-commoditised first wave to the immuno-oncology cliffs that define the rest of the decade.

  • Market sizing and the BPCIA twelve-year exclusivity framework
  • A full-page U.S. oncology biosimilar landscape infographic
  • The two-wave timeline (2015 to 2032) with revenue-weighted cliffs
  • Wave 1: trastuzumab, bevacizumab, rituximab and supportive care
  • Wave 2: pembrolizumab, nivolumab, pertuzumab, daratumumab and more
  • Biosimilar penetration and ASP-erosion curves from real share data
  • Competitive landscape, scenarios and stakeholder implications
  • Full methodology and FDA Purple and Orange Book data spine
Report Snapshots

A Look Inside The Report

A few of the visuals you'll find in the full PDF. Scroll across to preview the landscape infographic, the cliff timeline and the molecule-level analysis.

U.S. oncology biosimilar landscape infographic
U.S. oncology biosimilar landscape
Two-wave cliff timeline
The two-wave cliff timeline
Market sizing and penetration
Market sizing and penetration
Wave 2 molecule landscape
Wave 2: the cliffs ahead

← Scroll to explore  |  download the full report below for the complete analysis

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Built on primary FDA registry data, not re-packaged third-party feeds
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