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Biopharma pipeline overview

vs active biologic clinical trials, FDA Biologics License Applications (BLAs) and Chinese registered trials, analyzed structurally: how technology platforms are shifting, where targets are crowded, how the US–China landscape flipped, a fact hidden behind approval counts, and what this dataset can't see.

00

Data overview

Scope: interventional trials started on or after January 1, 2015, where the intervention is a biologic or its name contains a biologic marker (antibody, ADC, CAR-T, recombinant protein, etc.).

01

Regulation: approvals doubled, innovation didn't

Annual FDA biologics approvals jumped from 29 to 43 in 2024, a record high. Splitting approvals by whether the active ingredient is new makes it clear where the increase came from.

The 2024–2025 surge in approvals came almost entirely from biosimilars and follow-on biologics — novel BLAs have held between 15 and 19 a year for a decade.

Follow-on biologics jumped from 10 in 2023 to 24 in 2024 and 22 in 2025. Over the same three years, novel BLAs were 19, 19 and 17, and Type 1 NMEs were 17, 17 and 13. The priority review share fell at the same time, from a historical ~50% to 20.9% in 2024, which fits the view that the increase came from biosimilars on the standard review track. The sponsors with the most approvals in 2024–25 were Accord BioPharma, Samsung Bioepis, Celltrion and Biocon, all of them biosimilar makers.

FDA biologics approvals: novel vs follow-on
Years are assigned by original approval date. "Follow-on biologics" are products whose active-ingredient stem already appeared in an earlier BLA and that are not new molecular entities.
Priority review share
Share of approvals flagged PRIORITY, by year.
02

Inflection signal dashboard

Growth itself doesn't signal an inflection; the change in growth does. For each track we use three-year rolling windows. Growth compares the latest three years (2023–25) with the middle three (2020–22). Prior growth compares the middle three with the earliest three (2017–19). Acceleration is the difference between the two. The x-axis shows whether a track is still rising, and the y-axis shows whether that rise is strengthening or fading —The bottom-right quadrant is the inflection warning zone: still growing, but momentum has turned down。

The entire ADC complex has entered the inflection warning zone at once:ADC modality, HER2 and TROP2 are three independent tracks, all still growing fast, but acceleration has turned negative for every one。

ADC grew +72% over the past three years (deceleration -9.0pp), HER2 +81% (-12.3pp), TROP2 +115% (-72.3pp). These three use independent counting methods -- one by modality keyword, two by target keyword -- yet point the same direction, so this looks unlikely to be an artifact of a single classification rule. By contrast, bispecific/multispecific (+123%, acceleration +67.1pp) and CD3 (+115%, +134.1pp) are still accelerating, and these two also corroborate each other: CD3 is the shared arm of T-cell engagers, so the two tracks should naturally move in sync. For betting on "the next ADC," these two signals lead ADC itself.

Note: China also falls in the warning zone (+34%, -36.8pp) -- still the fastest-growing region, but its expansion rate has clearly slowed from 2020-22. This does not contradict Section 06's finding that "China overtook the US for the first time in 2025": the overtake is about level, while the deceleration is about rate of change.

Growth × acceleration quadrant
Dot area shows total trials in each track. A hollow dot means the direction call flips when the whole window moves back one year. That signal is unstable, so don't draw conclusions from it.
Signal table, all tracks
Sorted by acceleration, highest first. The "Robust" column shows the result of re-running with shifted windows: 20 of 31 tracks keep the same direction.
03

Trial landscape

Annual new biologics trial starts fell after peaking in 2021 (the COVID vaccine surge), rebounding to 1,698 in 2025. The overall focus remains on early-stage work: Phase I and Phase I/II combined account for 42%.

Annual trial starts
Years are assigned by trial start date.
Sponsor type and development phase
Top: sponsor mix; bottom: phase distribution.
04

Modality shift

Modalities are classified by regex matching on intervention names and titles. The four main modalities have taken very different paths: ADCs grew fourfold, cell therapy keeps climbing, mAbs peaked and declined, and vaccines went through one full COVID boom and bust.

Modality mix
Pipeline scope trials (excluding non-therapeutic trials involving only sampling/testing).
Ten-year trajectories of the four main modalities
Each chart has its own y-axis, so compare shapes rather than absolute values; the gray band is the modality's 10-year range.
Phase distribution by modality
Cell and gene therapies are heavily concentrated in Phase I and Phase I/II, so many assets haven't faced pivotal testing yet. By contrast, 69% of ADCs have reached Phase II or later.
05

Target crowding

Using 32 target-keyword groups (generic-name stems + target abbreviations) to match intervention names and titles, 5,253 trials were matched. PD-1 leads by far with 2,115 trials, but its annual curve already peaked back in 2019.

Trials by target (Top 16)
A trial can hit multiple targets, so totals exceed trial counts.
Three targets, three life cycles
PD-1 is past its peak, HER2 is in a second boom driven by ADCs, and CD19 is rising steadily with CAR-T.
06

China vs US

In 2015, the number of biologics trials involving China was 19% of the US figure. China has risen steadily since then, while the US has declined year by year after peaking in 2020; the two were nearly even in 2024 (534 : 541), and in 2025 China overtook the US for the first time (640 : 526).

Trials with China / US study sites
Counted by country of registered sites; multinational multicenter trials appear in both lines.
China vs US by modality
Cell therapy is the only track where China holds a decisive advantage (1,173 : 566).
Trial sites by country (Top 15)
Counted as trials with a study site in that country.
07

Chinese registry

China data in the previous six sections comes from the site-location field of the international registry, so it covers only trials that chose to register there. This section adds China's domestic registry, which includes many investigator-initiated trials that never appear in the international registry.Note: this is clinical study registration data and does not include NMPA approval decisions, and cannot be used to infer China's approval counts or approval trends.

Chinese registry: annual biologics trial registrations
Peaked in 2021, bottomed in 2023 and hit a new high in 2025. Years are assigned by registration date, while the international registry uses trial start date, so the two can't be added together directly.
Modality mix (Chinese drug-name rules)
This shows the sample's makeup, not the true modality mix of China's R&D. The sample comes from a keyword search, and the term for "mAb" alone accounts for over half of it, so these percentages can't be compared with other sections. Rule order matters: ADC and bispecific rules run before the mAb rule. Otherwise disitamab vedotin, whose Chinese name carries the mAb suffix, would be misclassified as a mAb.
Target distribution
Trial titles are matched on Chinese generic drug names and target abbreviations. PD-1 alone accounts for 30% of all matched trials, but that figure can't be compared directly across registries (see right for why).
PD-1 concentration: like-for-like comparison
The denominator is "mAb trials" in all three cases. Comparing raw PD-1 shares directly (30.1% / 14.4% / 11.2%) would suggest China is 2.7x as concentrated as the global level, but that is a sampling artifact.
Top 15 registering institutions
Top 15 combined 17.9%, covering 1,376 institutions in total — highly dispersed, and overwhelmingly hospitals (90.3%). Methodology changed to local daily recalculation starting 2026-10-01: the sample is based on the ICTRP China registry mirror, roughly 4,307 records; the previous ChiCTR full-database basis (98.7% / 1,519 institutions) has stopped updating since the source site was blocked on 2026-08-29.
08

Preclinical blind spot

The previous seven sections all measure Clinical stage activity: a molecule only shows up in this dataset once it is registered for a trial. So the force most likely to rewrite every curve above within five years, AI-driven drug design, doesn't register at all in the inflection signals. This section charts that blind spot.

The twelve AI drug-discovery companies have 43 trials combined across the full international registry; the number within this page's biologics scope is only 2 trials.Isomorphic Labs and Xaira: 0 each。

These gaps aren't a scraping error. They come from two structural causes. First, the two leading companies are still preclinical: Isomorphic expects its first candidate to enter the clinic in late 2026, and Xaira was only founded in 2024, so neither has any registered trials. Second, the companies that do have trials (Insilico Medicine with 11, Recursion with 9, Exscientia with 7) focus on small molecules. This page covers only biologics, so they are excluded by definition.

Generate Biomedicines is the only company that is both "AI-driven" and focused on biologics. It has 6 trials in the full registry, and 2 of them fall into this page's sample (GB-0895 for asthma, and GB-4362 with enfortumab vedotin and pembrolizumab for advanced urothelial carcinoma, both Phase I). In other words, on this trials, AI-designed biologics account for just two dots.

Clinical trial registrations of AI drug-discovery companies
Dark bars show total trials in the full database (all modalities). Light bars show how many of those fall within this page's biologics scope. Isomorphic Labs, Xaira, Insitro and Schrödinger are 0 in both columns, so there is nothing to draw and they are left out of this chart.
Commercializing two Nobel lineages
Isomorphic Labs vs Xaira Therapeutics.
09

Cycle score

The evidence from the previous eight sections, condensed into two numbers:Industry band (whether fundamentals are improving or deteriorating) and Market band (how much is already priced in). Together the two form quadrants. The real warning sign isn't weakness on both, but Market clearly stronger than fundamentals cell. The price range is daily bars from 2026-04 to 2026-10.

Signal details
The top half is the industry band (weight column); the bottom half is the market band (market weight column). Tiers from worst to best: bust / weak / neutral / strong.
Basket NAV: last 6 months, rebased to 100
Median NAV for each group vs. its benchmark (US vs. S&P 500, A-shares vs. CSI 300).
Chokepoints: a few nodes hold up a large share of downstream work
Instead of asking "which tracks are rising", this section asks "if one node fails, how many programs are hit at once". All time-based comparisons use the 2015–2019 cohort, which rules out the illusion that newer tracks just "haven't had time to advance". Supply chain, manufacturing capacity and other links this data can't see are not included.
Warning Sentinel (not scored)
Not scored, but changes how the scores should be read: if present, place less confidence in the related conclusions.