Skip to main content
VaccineWatch
VaccinesSymptomsStatesAnalysisToolsDashboardCompare

VaccineWatch

Transparent access to VAERS data for informed decision-making. We present the data as-is, with appropriate context and disclaimers.

Explore Data

  • Vaccines
  • Symptoms
  • Manufacturers
  • States
  • Dashboard
  • Compare Tool
  • Search

Deep Dives

  • The Denominator Problem
  • Onset Timing
  • Lot Number Analysis
  • COVID Impact
  • Myocarditis
  • Death Reports
  • Interactive Tools
  • Reporting Rate Calculator
  • Signal Detection
  • All 23 Articles →

Resources

  • About
  • Methodology
  • FAQ
  • Glossary
  • Side Effects Guide
  • Vaccine Schedule
  • Vaccine Safety
  • Safety Timeline
  • Adverse Events
  • Is VAERS Reliable?
  • Myocarditis
  • Guillain-Barré
  • Allergic Reactions
  • Report an Event
  • Disclaimer
  • VAERS Official Site ↗

Sister Sites

  • OpenMedicaid
  • OpenFeds
  • OpenImmigration
  • OpenCrime
  • OpenSpending
  • OpenMedicare
  • OpenLobby
  • WarCosts
  • OpenPrescriber
  • GiveScope
  • SPACGraveyard
  • AI Exposure
  • AutoPilotWatch
  • TariffTax
  • ShelterScope
  • OpenPrices
  • TheDataProject.ai

Data source: VAERS (Vaccine Adverse Event Reporting System)

Data through 2026 · Updated quarterly

Built by TheDataProject.ai · © 2026 VaccineWatch

Important: VAERS accepts reports of adverse events following vaccination. For any given report, there is no certainty that the reported event was caused by the vaccine. Reports may contain information that is incomplete, inaccurate, coincidental, or unverifiable. Most reports to VAERS are voluntary, which means they are subject to biases. This data cannot be used to determine if vaccines cause or contribute to adverse events.

⚠️

Important: VAERS reports alone cannot determine if a vaccine caused an adverse event. Reports may contain incomplete, inaccurate, or unverified information. Correlation does not equal causation.

  1. Home
  2. Analysis
  3. The Manufacturer Landscape
6 min read
Share

The Manufacturer Landscape

A small number of companies dominate VAERS reporting. The top 5 manufacturers account for 77% of all reports — but this tells us more about market share than safety.

77%
of all VAERS reports come from just 5 manufacturers out of 47 total

Market Concentration

VAERS tracks reports from 47 manufacturers, but the market is heavily concentrated. The top manufacturer, Pfizer / BioNTech, alone accounts for 559,257 reports (21.2%).

This concentration is almost entirely driven by COVID-19 vaccines. Pfizer-BioNTech and Moderna together produced the vast majority of the 670+ million COVID-19 doses administered in the U.S., so their dominance in VAERS reports is a direct reflection of their market presence.

Beyond COVID: The Traditional Players

Before the pandemic, companies like Merck, GlaxoSmithKline, and Sanofi Pasteur dominated the vaccine market with products covering childhood immunizations, flu vaccines, and travel vaccines. Their VAERS report counts are substantial but dwarfed by the COVID-19 era surge.

What Market Share Means

High report counts for a manufacturer primarily reflect how many doses they've distributed. A company with 50% market share would be expected to have roughly 50% of reports, all else being equal. Comparing manufacturers on raw report counts without adjusting for doses administered is misleading.

Key Takeaways

  • 1.Top 5 of 47 manufacturers account for 77% of all VAERS reports
  • 2.COVID-19 vaccine manufacturers dominate due to unprecedented dose volumes
  • 3.Report volume reflects market share and public awareness, not relative safety
  • 4.All manufacturers must meet the same FDA safety and efficacy standards

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for manufacturer landscape and market concentration is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding manufacturer landscape and market concentration across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for manufacturer landscape and market concentration is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding manufacturer landscape and market concentration across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

2026 Data Context

As VAERS reporting normalizes following the COVID-19 pandemic surge, the data landscape for manufacturer landscape and market concentration is shifting. Annual VAERS reports in 2025-2026 have returned to the 35,000-45,000 range typical of the pre-pandemic era (2015-2019), making year-over-year comparisons more meaningful again.

The HHS administration has signaled increased focus on vaccine safety data analysis, including the development of AI-powered tools for pattern detection in VAERS reports. While these tools are still under development, they represent a potential evolution in how adverse event data is analyzed and interpreted.

New vaccines entering the market — including RSV vaccines for older adults and pregnant women, updated COVID-19 formulations, and potential H5N1 avian flu vaccines — continue to add new data streams to VAERS. Each new vaccine type provides additional context for understanding manufacturer landscape and market concentration across the full spectrum of vaccine safety surveillance.

Limitations of This Analysis

This analysis is based entirely on VAERS passive surveillance data, which carries important limitations that must be understood:

  • Underreporting: Studies estimate that only 1-10% of adverse events are reported to VAERS. This means the true number of events is likely much higher than what appears in the data.
  • Stimulated reporting: Media coverage and public awareness can temporarily increase reporting rates for specific vaccines, independent of any change in actual safety.
  • No control group: VAERS does not include a comparison group of unvaccinated individuals, making it impossible to determine whether reported events occurred at a higher rate than expected.
  • Variable data quality: VAERS reports range from detailed medical records submitted by healthcare providers to brief descriptions from patients. Not all reports are verified for medical accuracy.
  • Duplicate reports: The same event may be reported by multiple people (patient, doctor, manufacturer), and some duplicates may remain in the data.

For these reasons, VAERS data is best used for signal detection — identifying potential safety concerns that warrant further investigation — rather than for definitive risk assessment. When VAERS surfaces a potential signal, it is investigated using more rigorous systems like the Vaccine Safety Datalink (VSD) and controlled epidemiological studies.

About This Data

All data on VaccineWatch comes from the official VAERS public-use datasets published by the CDC and FDA. Our current dataset covers reports from 1990 through early 2026. We process the raw data without filtering or editorializing — every metric is a transparent aggregation of official government data.

Our Methodology →FAQ →Disclaimer →

Related Analysis

COVID-19 Impact
How the pandemic changed reporting
All Manufacturers
Browse all manufacturer data
COVID-19 vs Influenza Vaccines
Comparing the two largest categories