★ WIDE MOAT STOCKS & COMPETITIVE ADVANTAGES ★

Checking

Doximity, Inc.

DOCS · New York Stock Exchange

Market cap (USD)$4B
SectorHealthcare
IndustryMedical - Healthcare Information Services
CountryUS
Data as of
Moat score
86/ 100

Weighted average of segment moat scores, combining moat strength, durability, confidence, market structure, pricing power, and market share.

Request update

Spot something outdated? Send a quick note and source so we can refresh this profile.

Overview

Doximity operates one segment built around a verified U.S. medical-professional network and subscription-based Marketing, Hiring and Workflow Solutions. More than 85% of U.S. physicians are members, giving the platform meaningful network density and a proprietary, member-refined profile and engagement dataset; 109% net revenue retention supports modest customer renewal inertia. Record workflow and AI usage demonstrates engagement, but free clinician tools are not the system of record and the evidence did not establish hard workflow lock-in. KLAS recognition supports a narrower trust advantage, particularly for Dialer. The prior revenue-to-company-TAM ratio was removed because it measured addressable-market penetration, not competitive market share. Physician multi-homing, EHR-native tools, medical publishers, AI commoditization, pharma-budget sensitivity, customer concentration and privacy risk constrain the moat.

Primary segment

Medical professional platform and healthcare customer solutions

Market structure

Competitive

Market share

HHI:

Coverage

1 segments · 6 tags

Updated 2026-07-12

Segments

Medical professional platform and healthcare customer solutions

U.S. digital medical professional network, HCP marketing, hiring, workflow and telehealth solutions

Revenue

100%

Structure

Competitive

Pricing

moderate

Share

Peers

IQVOPRXMSFTHSTM+3

Moat Claims

Medical professional platform and healthcare customer solutions

U.S. digital medical professional network, HCP marketing, hiring, workflow and telehealth solutions

Doximity reports one operating and reportable segment. Revenue and operating profit shares are therefore 1.0; solution-level revenue by Marketing, Hiring and Workflow Solutions is not disclosed.

Competitive

Direct Network Effects

Network

Strength

Strength 4 of 5

Durability

Durability 3 of 3

Confidence

Confidence 5 of 5

Evidence

Evidence 3 of 5

Doximity's physician network becomes more useful as more verified clinicians maintain profiles, connect, read clinical news, exchange referrals and use workflow tools.

Direct Network Effects moat: definition, examples, and stocks

Erosion risks

  • Physician engagement can plateau once U.S. physician penetration is already high.
  • Competing professional networks, medical publishers, EHRs and AI assistants can draw clinician attention away from Doximity.
  • Privacy, security or content-trust failures could reduce clinician willingness to participate.

Leading indicators

  • U.S. physician penetration
  • Quarterly active prescribers across newsfeed, workflow and AI
  • Member retention and profile freshness

Counterarguments

  • High clinician membership does not automatically translate into proportional customer budget share.
  • Physicians can multi-home across LinkedIn, Medscape, Sermo, EHR portals, journals and hospital tools.

Data Network Effects

Network

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 3 of 5

Evidence

Evidence 3 of 5

Verified member profiles, engagement data, clinical specialty context and customer campaign feedback can improve targeting, personalization, workflow relevance and AI product utility.

Data Network Effects moat: definition, examples, and stocks

Erosion risks

  • Privacy rules, HIPAA-sensitive workflows and state data laws can restrict data use.
  • Hospitals, EHR vendors, claims-data providers and pharma agencies can use their own datasets for targeting.
  • AI model improvements may reduce the value of proprietary workflow-specific data if competitors access comparable clinical sources.

Leading indicators

  • Profile completion and update rates
  • Newsfeed personalization engagement
  • Campaign ROI and customer expansion

Counterarguments

  • Doximity's data advantage is mainly U.S. clinician-specific, not a broad healthcare claims or EHR dataset.
  • Some targeting value depends on third-party and public data that competitors may also access.

Procurement Inertia

Demand

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 3 of 5

Subscription contracts, campaign modules, health-system relationships and proven clinician reach create renewal and expansion inertia, though customer budgets remain discretionary.

Procurement Inertia moat: definition, examples, and stocks

Erosion risks

  • Pharmaceutical policy uncertainty, tariffs or drug-pricing pressure can reduce HCP marketing budgets.
  • Large customers and agencies can renegotiate contracts or shift dollars to alternative channels.
  • Revenue concentration among large customers can make churn or budget cuts material.

Leading indicators

  • Net revenue retention
  • Customers with TTM subscription revenue greater than $500,000
  • Subscription revenue percentage

Counterarguments

  • Subscriptions are not as sticky as mission-critical software of record.
  • Pharma and health-system marketing buyers can run parallel campaigns across multiple vendors.

Brand Trust

Demand

Strength

Strength 3 of 5

Durability

Durability 2 of 3

Confidence

Confidence 4 of 5

Evidence

Evidence 3 of 5

Doximity's physician-first positioning, verified professional identity and repeated KLAS recognition support trust with clinicians and health-system buyers.

Brand Trust moat: definition, examples, and stocks

Erosion risks

  • Sponsored content, pharma marketing or AI mistakes could undermine physician trust.
  • A data breach or misuse of clinician or patient-related information would damage the brand.
  • Competitors with strong medical content brands can challenge clinician attention and trust.

Leading indicators

  • Best in KLAS rankings
  • App ratings and reviews
  • Newsfeed quarterly active prescribers

Counterarguments

  • Brand trust is strong with physicians, but customers buy measurable ROI and can compare vendors.
  • Medscape, medical journals, EHR vendors and hospital systems also have trusted clinical relationships.

Evidence

sec_filing

more than 85% of U.S. physicians

Shows very high penetration of the core U.S. physician user base.

sec_filing

largest medical professional network in the nation

Supports network leadership and member density.

sec_filing

powerful network effects

Company explicitly identifies network effects as part of the ecosystem.

sec_filing

vast, interactive data set

Supports the scale and interactivity of Doximity's proprietary data asset.

sec_filing

unparalleled insight into the specific needs

Supports the data-driven personalization and targeting advantage.

Showing 5 of 12 sources.

Risks & Indicators

Erosion risks

  • Physician engagement can plateau once U.S. physician penetration is already high.
  • Competing professional networks, medical publishers, EHRs and AI assistants can draw clinician attention away from Doximity.
  • Privacy, security or content-trust failures could reduce clinician willingness to participate.
  • Privacy rules, HIPAA-sensitive workflows and state data laws can restrict data use.
  • Hospitals, EHR vendors, claims-data providers and pharma agencies can use their own datasets for targeting.
  • AI model improvements may reduce the value of proprietary workflow-specific data if competitors access comparable clinical sources.

Leading indicators

  • U.S. physician penetration
  • Quarterly active prescribers across newsfeed, workflow and AI
  • Member retention and profile freshness
  • Referral, messaging and search activity among verified members
  • Profile completion and update rates
  • Newsfeed personalization engagement

Keep the research going

Created 2026-04-25
Updated 2026-07-12

More Rankings & Systems

Curation & Accuracy

This directory blends AI‑assisted discovery with human curation. Entries are reviewed, edited, and organized with the goal of expanding coverage and sharpening quality over time. Your feedback helps steer improvements (because no single human can capture everything all at once).

Details change. Pricing, features, and availability may be incomplete or out of date. Treat listings as a starting point and verify on the provider’s site before making decisions. If you spot an error or a gap, send a quick note and I’ll adjust.