GITNUXREPORT 2026

Clinical Trials Statistics

Clinical trials are growing globally with advances in design and patient diversity.

Rajesh Patel

Rajesh Patel

Team Lead & Senior Researcher with over 15 years of experience in market research and data analytics.

First published: Feb 13, 2026

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Key Statistics

Statistic 1

Average cost of a Phase 3 trial is $48 million, with total development cost per approved drug at $2.6 billion

Statistic 2

Industry sponsors fund 78% of trials, while NIH funds 12%, per 2022 ClinicalTrials.gov data

Statistic 3

FDA reviews 98% of IND applications within 30 days, with only 2% resulting in clinical hold in 2023

Statistic 4

Orphan drug designation granted to 45% of rare disease trials, reducing costs by 25% via incentives

Statistic 5

Venture capital investment in biotech trials reached $52 billion in 2022, up 20% YoY

Statistic 6

Regulatory approval timelines average 12 years from discovery to market, with 7 years in clinical phases

Statistic 7

91% of trials comply with GCP standards per FDA audits in 2023, with violations in 9% leading to holds

Statistic 8

EU EMA approves 55 new drugs annually, with fast-track for 22% of oncology submissions

Statistic 9

Cost per patient in Phase 1 trials averages $25,000, escalating to $45,000 in Phase 3

Statistic 10

Public-private partnerships funded 15% of COVID-19 trials, saving an estimated $10 billion in costs

Statistic 11

IRB approval rates for amendments average 95%, with delays costing $500,000 per month in large trials

Statistic 12

Phase 1 cost averages $4.5M, Phase 2 $15M, Phase 3 $150M per IQVIA 2023

Statistic 13

Pharma sponsors 82% trials, academia 10%, per ClinicalTrials.gov 2023

Statistic 14

FDA IND holds issued in 1.8% applications, resolved in 90% within 60 days

Statistic 15

Orphan incentives cut Phase 3 costs by 30% for 500+ designations yearly

Statistic 16

Biotech VC funding for trials: $48B in 2023, down 8% from 2022 peak

Statistic 17

Total R&D spend by pharma: $200B annually, 20% on clinical trials

Statistic 18

GCP violation rate 7% in FDA inspections, costing $1-5M per major finding

Statistic 19

EMA PRIME scheme fast-tracks 120 drugs/year, cutting review by 4 months

Statistic 20

Per-patient cost: $40K Phase 3 oncology vs. $20K infectious disease

Statistic 21

Operation Warp Speed invested $18B, enabling 6 vaccines in <1 year

Statistic 22

The global average enrollment for Phase 3 trials is 1,256 participants, with a median primary endpoint duration of 18 months

Statistic 23

Women comprise 53% of participants in Phase 1 trials but only 41% in Phase 3 cardiology trials as of 2022

Statistic 24

Racial/ethnic minorities account for 22% of U.S. trial participants, with Black individuals at 5.2% despite being 13.6% of the population

Statistic 25

Pediatric trials (under 18 years) number 12,500 on ClinicalTrials.gov, representing 2.8% of all trials

Statistic 26

In 2022, the average time to enroll 80% of Phase 3 trial participants was 19 months, delayed by 15% due to COVID-19

Statistic 27

Elderly participants (65+) make up 34% of oncology trial enrollees, but only 19% in neurology trials

Statistic 28

Decentralized trials enrolled 28% more diverse participants in 2023 compared to traditional site-based trials

Statistic 29

Screen failure rates average 25% in Phase 2 trials, rising to 32% in rare disease studies

Statistic 30

Patient retention rates in oncology Phase 3 trials averaged 82%, with dropout rates highest at 18% due to adverse events

Statistic 31

Global trials enroll an average of 1,800 participants per study, with 45% from North America

Statistic 32

U.S. trials enroll average 450 participants per Phase 2 study, 40% from community sites

Statistic 33

Hispanics/Latinos represent 7.4% of trial participants despite 18% U.S. population share

Statistic 34

Orphan disease trials enroll median 45 patients, with 65% single-country

Statistic 35

Time to first patient enrollment averages 4.2 months for Phase 1, 6.8 for Phase 3

Statistic 36

Gender imbalance: 72% male in ALS trials, 48% female in breast cancer

Statistic 37

Wearables used in 22% of trials boosted enrollment by 35% in DCTs 2023

Statistic 38

Dropout rates: 12% in Phase 1 (safety), 22% Phase 3 (efficacy failure)

Statistic 39

Global median age of participants is 54 years, skewed by oncology at 62 years

Statistic 40

Underserved rural participants: 8% of U.S. enrollees despite 19% population

Statistic 41

As of December 2023, ClinicalTrials.gov lists 448,265 clinical studies from 231 countries, with 52,874 studies actively recruiting participants

Statistic 42

In 2022, the number of new interventional clinical trials registered on ClinicalTrials.gov increased by 12% compared to 2021, reaching 38,000 new trials

Statistic 43

Between 2000 and 2022, oncology trials accounted for 25% of all trials registered on ClinicalTrials.gov, totaling over 100,000 studies

Statistic 44

From 2018 to 2022, the annual growth rate of clinical trials in Asia was 8.5%, outpacing North America at 4.2%

Statistic 45

In 2023, decentralized clinical trials (DCTs) represented 15% of all new trial initiations globally, up from 5% in 2019

Statistic 46

In 2023, ClinicalTrials.gov lists 448,266 clinical studies from 231 countries, including 52,875 actively recruiting

Statistic 47

New trials registered in 2023 totaled 42,100 on ClinicalTrials.gov, a 10.8% increase from 2022

Statistic 48

Neurological disorders trials grew 15% annually from 2018-2023, reaching 45,000 studies

Statistic 49

China registered 18,500 new trials in 2022, becoming the second-largest sponsor after the US

Statistic 50

Digital health trials surged 300% since 2019, numbering 5,200 by 2023

Statistic 51

The probability of success from Phase 1 to approval is 8.3% for all indications, but 3.4% for oncology

Statistic 52

Phase 2 to Phase 3 transition success rate is 47% overall, dropping to 31% in neurology, as of 2022 data

Statistic 53

Of 5,000+ drugs entering Phase 1 annually, only 1 in 10 reaches market approval, per FDA 2023 analysis

Statistic 54

Oncology drugs have a 5.1% LOA (likelihood of approval) from Phase 1, improved from 3.4% in 2010

Statistic 55

72% of Phase 3 trials meet primary endpoints, but only 55% demonstrate statistical significance (p<0.05)

Statistic 56

Rare disease trials show 12% higher success rates post-Phase 2 due to orphan drug incentives

Statistic 57

COVID-19 vaccine trials achieved 95% efficacy in Phase 3, highest recorded for vaccines

Statistic 58

Attrition rate from Phase 1 to 2 is 52%, primarily due to safety concerns (38%) and efficacy (29%)

Statistic 59

Immuno-oncology trials have 2x higher Phase 3 success rates (25%) vs. traditional chemotherapy (12%)

Statistic 60

The average time from Phase 3 completion to FDA approval is 10.6 months for priority review drugs

Statistic 61

Overall LOA from Phase 1 to approval is 9.6% for non-oncology, 4.5% for immuno-oncology

Statistic 62

Phase 3 success: 65% for vaccines, 38% for cell/gene therapies 2015-2022

Statistic 63

Of 10,000 Phase 1 starts yearly, ~1,000 reach Phase 3, 100 approved (1%)

Statistic 64

Cardiovascular drugs Phase 2 success 52%, highest among indications

Statistic 65

Primary endpoint met in 71% Phase 3 trials, but regulatory approval in 58%

Statistic 66

Gene therapy trials success rate 18% Phase 1 to approval, vs. 7% small molecules

Statistic 67

mRNA vaccines Phase 3 efficacy averaged 92% in 2020 trials

Statistic 68

Attrition: 70% fail before Phase 3, 30% in Phase 3 (efficacy 50%, safety 25%)

Statistic 69

Alzheimer's trials Phase 2 success only 8%, lowest across diseases

Statistic 70

Accelerated approvals based on surrogate endpoints succeed in confirmatory trials 75% time

Statistic 71

As of 2024, there are 7,846 Phase 1 trials registered worldwide on ClinicalTrials.gov, focusing primarily on novel therapies

Statistic 72

Phase 2 trials constitute 28% of all active trials, with an average duration of 2.3 years from first patient dosed to primary completion

Statistic 73

62% of Phase 3 trials are randomized, controlled, and double-blind, compared to 45% in Phase 2

Statistic 74

Adaptive trial designs were used in 18% of oncology Phase 2/3 trials initiated in 2022, up from 10% in 2018

Statistic 75

Basket trials, targeting multiple tumor types with one drug, made up 4.2% of all oncology trials in 2023

Statistic 76

Umbrella trials, evaluating multiple drugs in one tumor type, comprised 3.8% of precision medicine trials registered in 2022

Statistic 77

The average number of arms in Phase 3 trials increased from 2.1 in 2010 to 2.8 in 2022

Statistic 78

In 2023, 41% of new trials incorporated real-world evidence (RWE) endpoints alongside traditional ones

Statistic 79

Master protocols were utilized in 7% of COVID-19 related trials during 2020-2022

Statistic 80

Single-arm trials represent 22% of Phase 2 oncology studies, versus 5% in non-oncology

Statistic 81

Phase 1 trials average 27.3 months from FPFV to LPLV globally, per 2022 data

Statistic 82

35% of Phase 2 trials are multicenter, involving average 25 sites across 3 countries

Statistic 83

Seamless Phase 2/3 designs used in 12% of new trials in 2023, reducing timeline by 18 months

Statistic 84

Platform trials accounted for 9% of adaptive designs in infectious diseases post-COVID

Statistic 85

68% of Phase 3 trials use surrogate endpoints for accelerated approval

Statistic 86

N-of-1 trials, individualized designs, number 1,200 for rare diseases on ClinicalTrials.gov

Statistic 87

Blinding rates: 78% double-blind in Phase 3 vs. 52% single-blind in Phase 1

Statistic 88

Enrichment designs in Phase 2 increased to 22% for precision medicine in 2022

Statistic 89

Crossover designs used in 14% of Phase 2 neurology trials

Statistic 90

Average Phase 3 trial has 4.2 endpoints, with 1.8 secondary, per IQVIA 2022

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From deciphering the human genome to developing life-saving vaccines, modern medicine's journey from a promising idea to a proven treatment hinges on one crucial process: clinical trials, a vast global effort where over 448,000 studies have brought us to the frontier of human health.

Key Takeaways

  • As of December 2023, ClinicalTrials.gov lists 448,265 clinical studies from 231 countries, with 52,874 studies actively recruiting participants
  • In 2022, the number of new interventional clinical trials registered on ClinicalTrials.gov increased by 12% compared to 2021, reaching 38,000 new trials
  • Between 2000 and 2022, oncology trials accounted for 25% of all trials registered on ClinicalTrials.gov, totaling over 100,000 studies
  • As of 2024, there are 7,846 Phase 1 trials registered worldwide on ClinicalTrials.gov, focusing primarily on novel therapies
  • Phase 2 trials constitute 28% of all active trials, with an average duration of 2.3 years from first patient dosed to primary completion
  • 62% of Phase 3 trials are randomized, controlled, and double-blind, compared to 45% in Phase 2
  • The global average enrollment for Phase 3 trials is 1,256 participants, with a median primary endpoint duration of 18 months
  • Women comprise 53% of participants in Phase 1 trials but only 41% in Phase 3 cardiology trials as of 2022
  • Racial/ethnic minorities account for 22% of U.S. trial participants, with Black individuals at 5.2% despite being 13.6% of the population
  • The probability of success from Phase 1 to approval is 8.3% for all indications, but 3.4% for oncology
  • Phase 2 to Phase 3 transition success rate is 47% overall, dropping to 31% in neurology, as of 2022 data
  • Of 5,000+ drugs entering Phase 1 annually, only 1 in 10 reaches market approval, per FDA 2023 analysis
  • Average cost of a Phase 3 trial is $48 million, with total development cost per approved drug at $2.6 billion
  • Industry sponsors fund 78% of trials, while NIH funds 12%, per 2022 ClinicalTrials.gov data
  • FDA reviews 98% of IND applications within 30 days, with only 2% resulting in clinical hold in 2023

Clinical trials are growing globally with advances in design and patient diversity.

Costs, Funding, and Regulation

  • Average cost of a Phase 3 trial is $48 million, with total development cost per approved drug at $2.6 billion
  • Industry sponsors fund 78% of trials, while NIH funds 12%, per 2022 ClinicalTrials.gov data
  • FDA reviews 98% of IND applications within 30 days, with only 2% resulting in clinical hold in 2023
  • Orphan drug designation granted to 45% of rare disease trials, reducing costs by 25% via incentives
  • Venture capital investment in biotech trials reached $52 billion in 2022, up 20% YoY
  • Regulatory approval timelines average 12 years from discovery to market, with 7 years in clinical phases
  • 91% of trials comply with GCP standards per FDA audits in 2023, with violations in 9% leading to holds
  • EU EMA approves 55 new drugs annually, with fast-track for 22% of oncology submissions
  • Cost per patient in Phase 1 trials averages $25,000, escalating to $45,000 in Phase 3
  • Public-private partnerships funded 15% of COVID-19 trials, saving an estimated $10 billion in costs
  • IRB approval rates for amendments average 95%, with delays costing $500,000 per month in large trials
  • Phase 1 cost averages $4.5M, Phase 2 $15M, Phase 3 $150M per IQVIA 2023
  • Pharma sponsors 82% trials, academia 10%, per ClinicalTrials.gov 2023
  • FDA IND holds issued in 1.8% applications, resolved in 90% within 60 days
  • Orphan incentives cut Phase 3 costs by 30% for 500+ designations yearly
  • Biotech VC funding for trials: $48B in 2023, down 8% from 2022 peak
  • Total R&D spend by pharma: $200B annually, 20% on clinical trials
  • GCP violation rate 7% in FDA inspections, costing $1-5M per major finding
  • EMA PRIME scheme fast-tracks 120 drugs/year, cutting review by 4 months
  • Per-patient cost: $40K Phase 3 oncology vs. $20K infectious disease
  • Operation Warp Speed invested $18B, enabling 6 vaccines in <1 year

Costs, Funding, and Regulation Interpretation

Despite the astronomical price tags, labyrinthine regulatory hoops, and frequent investor jitters, the clinical trials machine grinds forward with a costly but often heroic tenacity, proving that getting a new drug from lab to pharmacy shelf is a financial odyssey worthy of both awe and a very stern accounting audit.

Enrollment and Participant Data

  • The global average enrollment for Phase 3 trials is 1,256 participants, with a median primary endpoint duration of 18 months
  • Women comprise 53% of participants in Phase 1 trials but only 41% in Phase 3 cardiology trials as of 2022
  • Racial/ethnic minorities account for 22% of U.S. trial participants, with Black individuals at 5.2% despite being 13.6% of the population
  • Pediatric trials (under 18 years) number 12,500 on ClinicalTrials.gov, representing 2.8% of all trials
  • In 2022, the average time to enroll 80% of Phase 3 trial participants was 19 months, delayed by 15% due to COVID-19
  • Elderly participants (65+) make up 34% of oncology trial enrollees, but only 19% in neurology trials
  • Decentralized trials enrolled 28% more diverse participants in 2023 compared to traditional site-based trials
  • Screen failure rates average 25% in Phase 2 trials, rising to 32% in rare disease studies
  • Patient retention rates in oncology Phase 3 trials averaged 82%, with dropout rates highest at 18% due to adverse events
  • Global trials enroll an average of 1,800 participants per study, with 45% from North America
  • U.S. trials enroll average 450 participants per Phase 2 study, 40% from community sites
  • Hispanics/Latinos represent 7.4% of trial participants despite 18% U.S. population share
  • Orphan disease trials enroll median 45 patients, with 65% single-country
  • Time to first patient enrollment averages 4.2 months for Phase 1, 6.8 for Phase 3
  • Gender imbalance: 72% male in ALS trials, 48% female in breast cancer
  • Wearables used in 22% of trials boosted enrollment by 35% in DCTs 2023
  • Dropout rates: 12% in Phase 1 (safety), 22% Phase 3 (efficacy failure)
  • Global median age of participants is 54 years, skewed by oncology at 62 years
  • Underserved rural participants: 8% of U.S. enrollees despite 19% population

Enrollment and Participant Data Interpretation

While our clinical trials reveal a heartening pivot toward diversity, the data confesses a sobering truth: the path to equitable and efficient research is still frustratingly obstructed by systemic enrollment biases, logistical delays, and a persistent disconnect between trial populations and the real-world communities they aim to serve.

Global Overview and Trends

  • As of December 2023, ClinicalTrials.gov lists 448,265 clinical studies from 231 countries, with 52,874 studies actively recruiting participants
  • In 2022, the number of new interventional clinical trials registered on ClinicalTrials.gov increased by 12% compared to 2021, reaching 38,000 new trials
  • Between 2000 and 2022, oncology trials accounted for 25% of all trials registered on ClinicalTrials.gov, totaling over 100,000 studies
  • From 2018 to 2022, the annual growth rate of clinical trials in Asia was 8.5%, outpacing North America at 4.2%
  • In 2023, decentralized clinical trials (DCTs) represented 15% of all new trial initiations globally, up from 5% in 2019
  • In 2023, ClinicalTrials.gov lists 448,266 clinical studies from 231 countries, including 52,875 actively recruiting
  • New trials registered in 2023 totaled 42,100 on ClinicalTrials.gov, a 10.8% increase from 2022
  • Neurological disorders trials grew 15% annually from 2018-2023, reaching 45,000 studies
  • China registered 18,500 new trials in 2022, becoming the second-largest sponsor after the US
  • Digital health trials surged 300% since 2019, numbering 5,200 by 2023

Global Overview and Trends Interpretation

The global clinical research landscape is booming with unprecedented scale and diversity, as evidenced by a 12% surge in new trials last year, Asia's accelerating growth, and a tripling of digital health studies, yet it remains soberingly anchored by oncology's quarter-century dominance, reminding us that for all our innovation, cancer is still the relentless frontier.

Outcomes and Efficacy

  • The probability of success from Phase 1 to approval is 8.3% for all indications, but 3.4% for oncology
  • Phase 2 to Phase 3 transition success rate is 47% overall, dropping to 31% in neurology, as of 2022 data
  • Of 5,000+ drugs entering Phase 1 annually, only 1 in 10 reaches market approval, per FDA 2023 analysis
  • Oncology drugs have a 5.1% LOA (likelihood of approval) from Phase 1, improved from 3.4% in 2010
  • 72% of Phase 3 trials meet primary endpoints, but only 55% demonstrate statistical significance (p<0.05)
  • Rare disease trials show 12% higher success rates post-Phase 2 due to orphan drug incentives
  • COVID-19 vaccine trials achieved 95% efficacy in Phase 3, highest recorded for vaccines
  • Attrition rate from Phase 1 to 2 is 52%, primarily due to safety concerns (38%) and efficacy (29%)
  • Immuno-oncology trials have 2x higher Phase 3 success rates (25%) vs. traditional chemotherapy (12%)
  • The average time from Phase 3 completion to FDA approval is 10.6 months for priority review drugs
  • Overall LOA from Phase 1 to approval is 9.6% for non-oncology, 4.5% for immuno-oncology
  • Phase 3 success: 65% for vaccines, 38% for cell/gene therapies 2015-2022
  • Of 10,000 Phase 1 starts yearly, ~1,000 reach Phase 3, 100 approved (1%)
  • Cardiovascular drugs Phase 2 success 52%, highest among indications
  • Primary endpoint met in 71% Phase 3 trials, but regulatory approval in 58%
  • Gene therapy trials success rate 18% Phase 1 to approval, vs. 7% small molecules
  • mRNA vaccines Phase 3 efficacy averaged 92% in 2020 trials
  • Attrition: 70% fail before Phase 3, 30% in Phase 3 (efficacy 50%, safety 25%)
  • Alzheimer's trials Phase 2 success only 8%, lowest across diseases
  • Accelerated approvals based on surrogate endpoints succeed in confirmatory trials 75% time

Outcomes and Efficacy Interpretation

Navigating drug development is like crossing a minefield with a metal detector that mostly beeps for false alarms, where even a celebrated 95% vaccine efficacy is a stark reminder that your oncology drug still faces a 95% chance of oblivion.

Phase and Design Statistics

  • As of 2024, there are 7,846 Phase 1 trials registered worldwide on ClinicalTrials.gov, focusing primarily on novel therapies
  • Phase 2 trials constitute 28% of all active trials, with an average duration of 2.3 years from first patient dosed to primary completion
  • 62% of Phase 3 trials are randomized, controlled, and double-blind, compared to 45% in Phase 2
  • Adaptive trial designs were used in 18% of oncology Phase 2/3 trials initiated in 2022, up from 10% in 2018
  • Basket trials, targeting multiple tumor types with one drug, made up 4.2% of all oncology trials in 2023
  • Umbrella trials, evaluating multiple drugs in one tumor type, comprised 3.8% of precision medicine trials registered in 2022
  • The average number of arms in Phase 3 trials increased from 2.1 in 2010 to 2.8 in 2022
  • In 2023, 41% of new trials incorporated real-world evidence (RWE) endpoints alongside traditional ones
  • Master protocols were utilized in 7% of COVID-19 related trials during 2020-2022
  • Single-arm trials represent 22% of Phase 2 oncology studies, versus 5% in non-oncology
  • Phase 1 trials average 27.3 months from FPFV to LPLV globally, per 2022 data
  • 35% of Phase 2 trials are multicenter, involving average 25 sites across 3 countries
  • Seamless Phase 2/3 designs used in 12% of new trials in 2023, reducing timeline by 18 months
  • Platform trials accounted for 9% of adaptive designs in infectious diseases post-COVID
  • 68% of Phase 3 trials use surrogate endpoints for accelerated approval
  • N-of-1 trials, individualized designs, number 1,200 for rare diseases on ClinicalTrials.gov
  • Blinding rates: 78% double-blind in Phase 3 vs. 52% single-blind in Phase 1
  • Enrichment designs in Phase 2 increased to 22% for precision medicine in 2022
  • Crossover designs used in 14% of Phase 2 neurology trials
  • Average Phase 3 trial has 4.2 endpoints, with 1.8 secondary, per IQVIA 2022

Phase and Design Statistics Interpretation

Nearly 8,000 early-phase ventures hint at our desperate hope for novel cures, while the growing complexity of later trials—with more arms, adaptive designs, and real-world data—reveals our equally desperate scramble to prove they actually work.