Health Care Services · Advanced Medical Technology Association

AdvaMed – Medical Technology Industry Resources

Datadory delivers advamed medical technology industry resources data covering the Advanced Medical Technology Association's published record: a directory of roughly 602 member companies from Abbott to startups, eight-plus quarterly Advancements issues running Q3 2024 through Q2 2026, annual reports for 2024 and 2025, policy research and industry facts - resolved into typed, join-ready rows and delivered daily, weekly, or hourly.

API, files, or your warehouse. Daily, weekly, or hourly.

Where it covers
United States focus, with international members and global market statistics sitting alongside the domestic figures
How far back
Quarterly Advancements issues from Q3 2024 through Q2 2026; annual reports for 2024 and 2025; economic impact statistical update dated 2021; facts-page figures variously dated 1980–2019
How fine
Organization-level records (member companies, division members) plus industry-level aggregate statistics

What is the AdvaMed – Medical Technology Industry Resources dataset?

The published web record of AdvaMed (the Advanced Medical Technology Association), the largest trade association serving the US medical device, diagnostics and digital health industry, resolved by Datadory into typed, join-ready rows. The record spans five content bodies: Reports and Insights, home of the annual report (2025 and 2024 editions) and the quarterly Advancements series (Q3 2024 through Q2 2026, covering MDUFA VI commitment letters, Medicare coverage, and AI and digital health priorities); Research & Policy Papers, including legal analyses of third-party litigation funding and The Economic Impact of the Medical Technology Industry statistical update; Medical Device Industry Facts, a statistics page putting the US above 40% of the global medtech market with roughly 519,000 direct jobs and 6,500-plus companies; the Membership Directory, approximately 602 member companies as a name-plus-web-address table; and the four sector divisions - AdvaMedDx, Digital Health Tech, Medical Imaging and AdvaMed Accel - each keeping its own member list.

The structure worth noticing is which body carries the data and which carries the noise. The directory is the only fully tabular artifact - two columns, six hundred rows, one grammar - while everything around it is prose, PDF and positioning. Datadory treats the table as the spine, indexes the report catalog against it, and keeps the aggregate statistics attached to their stated vintages so a 2017 trade-surplus figure never masquerades as current.

What do sample rows look like?

Verified entries from the membership directory, laid out exactly as a delivery resolves them:

# one row = one member company, flat exactly as a delivery resolves it
dataset            : advamed-medical-technology-industry-resources   table: membership-directory

directory_name      : Abbott                  website_link: www.abbott.com
directory_name      : Accuray Inc.            website_link: www.accuray.com
directory_name      : Accufix Surgical, Inc.  website_link: 
directory_name      : Acorai AB               website_link: 

# two verified columns per row - the company name and its web address, alphabetical
# from A, multinationals and single-product startups sharing one table shape
# ~602 rows in the full table; the four division rosters (AdvaMedDx, Digital Health
# Tech, Medical Imaging, AdvaMed Accel) repeat the same grammar per division

Read the shape rather than the digits. One row per member company, alphabetical from A, with multinationals and four-person startups rendered in identical form - which is precisely what makes the table joinable. The two columns do complementary work: the name identifies, the web address disambiguates, so 'Accuray Inc.' and 'Accufix Surgical, Inc.' stay distinct entities instead of collapsing in a fuzzy-match merge. Four rows shown of roughly 602; the full table continues through Z without a schema change.

What fields does the dataset include?

Two documented fields carry every directory row, both verified against the live table during the August 2026 research pass rather than inferred from headers. Directory Name identifies the member company as the association spells it - preserving legal suffixes like 'Inc.' that matter for entity resolution. Website Link carries the company's web address, the practical disambiguator between similarly named firms and the natural key for enriching against your own firmographics.

Two columns sounds thin until you consider what it buys: a schema with nothing to misinterpret. The measurement depth of this record lives elsewhere - in the report catalog and the aggregate statistics - and those arrive as additional fields on request rather than padded into the base table under guessed column names. Name the divisions, publications or statistics you care about and the dictionary extends to match, confirmed at scope rather than promised blind.

How much geography and history does the data cover?

Geography: United States focus throughout, with international members and global market statistics present alongside - Acorai AB of Sweden sits three rows from Abbott, and the market-share claims are explicitly global.

Time: the report run is the deepest axis - eight-plus quarterly Advancements issues from Q3 2024 through Q2 2026, plus annual reports for 2024 and 2025. The statistical material runs older and unevenly: the economic impact update is dated 2021, and facts-page figures carry vintages scattered between 1980 and 2019. Those dates ship with the numbers, because an undated statistic is a liability dressed as a fact.

Granularity: organization-level records - member companies and division members - sitting beside industry-level aggregates. The two levels serve different questions and stay separable, so a company-count rollup never double counts against the 6,500-plus industry figure.

Who uses this dataset?

Competitive-intelligence teams treat the directory as the candidate universe for medtech landscape maps. Sales growth teams join the name-and-domain rows straight into CRM territory plans. Investors pull the market-share, employment and trade-balance aggregates for thesis context on device and diagnostics exposure. Policy analysts read the quarterly Advancements run as the association's own dated agenda - MDUFA VI, Medicare coverage, AI. Consultants and market researchers get the two artifacts every engagement starts by rebuilding, already in one schema. See the competitive intel product teams use cases, sales growth teams use cases and investors and quants use cases pages for the mapped workflows.

Why get it as a Datadory delivery instead of the pages as published?

Because the useful record is scattered across formats that don't acknowledge each other. The directory renders as one HTML table; the quarterly reports land as PDFs and image-led pages; the statistics live on a facts page with vintages ranging across four decades. Reconciling them means hand-copying a 602-row table, transcribing figures from documents, and remembering which number came from which year - a semester of copy-paste for one slide's worth of evidence.

Datadory resolves all of it into one schema: directory rows typed and keyed on name plus domain, the publication catalog indexed as one row per issue with series and period, aggregate statistics attached to their stated vintages. Field definitions are pinned down against the live table during the research pass, not guessed from headers, and anything uncertain folds under additional-fields-on-request and arrives confirmed at scope. The whole record ships delivered daily, weekly, or hourly over API, files, or your warehouse - start with a sample cut to the divisions and date ranges you actually need.

Field dictionary

Every field below is documented against real records. The full dictionary ships with the sample.

Field dictionary - the verified fields behind every row of the membership directory
FieldTypeDefinitionExample
Directory NamestringMember company name as listed in the AdvaMed membership directory table - the identifying column and primary join key.Abbott
Website LinkstringMember company web address listed alongside its directory entry - the disambiguator between similarly named firms.www.abbott.com
Additional fields on request-Division-roster membership (AdvaMedDx, Digital Health Tech, Medical Imaging, AdvaMed Accel), a publication index over the Advancements and policy catalog, and facts-page figures with their stated vintages - confirmed against your nominated scope when the sample is cut.-

What teams do with it

  • Competitive landscape mapping for medtech Roughly 602 named device, diagnostics and digital-health firms in one table - Abbott and Accuray beside seed-stage startups - giving product and strategy teams a candidate universe instead of a conference-badge guess.
  • Market sizing with association-grade aggregates The association's own facts page puts the US above 40% of the global medtech market at roughly 519,000 direct jobs across 6,500-plus companies - denominators for TAM slides that already carry a trade group's imprimatur.
  • Policy and reimbursement agenda tracking The quarterly Advancements series names the association's priorities issue by issue - MDUFA VI commitment letters, Medicare coverage, AI and digital health - which is as close to a published roadmap as Washington advocacy gets.
  • Segment scoping through division rosters AdvaMedDx, Digital Health Tech, Medical Imaging and AdvaMed Accel each publish their own member lists, so a diagnostics-only or imaging-only cut of the market falls out of the same schema rather than a separate research project.
  • Account-list construction for B2B sales Company name plus web address per row is exactly the spine an account list needs - deduplicate against your CRM on domain, attach your own firmographics downstream, and the 602-row table becomes a territory plan.
  • Citation-grade context for briefs and decks Every figure traces to a named publisher and a dated document - the kind of provenance that survives diligence in an investment memo, a regulatory comment letter or a newsroom fact-check.

Questions buyers ask

What does the AdvaMed Medical Technology Industry Resources dataset contain?

Five content bodies from the Advanced Medical Technology Association resolved into one normalized record: a membership directory of roughly 602 medtech companies with name and web address per row, the quarterly Advancements report series (Q3 2024 through Q2 2026), annual reports for 2024 and 2025, policy and economic-impact research, and the Medical Device Industry Facts statistics page.

How many member companies are in the directory?

Approximately 602, listed alphabetically from Abbott onward, spanning multinational device makers to early-stage startups. The four sector divisions - AdvaMedDx for diagnostics, Digital Health Tech, Medical Imaging and AdvaMed Accel - publish their own member rosters in addition, each confirmable as part of a scoped sample.

How far back does the data go?

It depends which body you mean. The quarterly Advancements run covers Q3 2024 through Q2 2026 and the annual reports cover 2024 and 2025. The statistical material is older and unevenly dated: the economic impact update is dated 2021 and facts-page figures run between 1980 and 2019. Every figure ships with its stated vintage attached.

What granularity does the data reach?

Organization level for the structural data - one row per member company, with division-level rosters beneath - and industry level for the statistics, where figures describe the whole US medtech sector rather than individual firms. The levels stay separable in delivery so company-count rollups never contaminate the industry aggregates.

Does the data cover markets outside the United States?

Partially. The focus is American - the market statistics concern the US position in global medtech - but the membership itself is international (Swedish, Swiss and other foreign-domiciled members appear in the directory), and the headline market-share claims are explicitly global rather than domestic.

Can a sample be cut to specific divisions or date ranges?

Yes. Name the divisions - diagnostics, digital health, imaging, accel - the report issues or the statistic vintages you care about, and the sample arrives shaped to exactly that slice with the verified directory dictionary attached and any requested extensions confirmed against your scope before delivery.

Notes on this record

  • A directory is a denominator Six hundred and two member companies is not just a list - it is the universe frame every medtech market-share claim gets tested against. Association membership skews toward established players, which is exactly why knowing who is absent from the roster is information too.
  • Two columns, zero ambiguity Name plus web address, both verified, nothing inferred. The suffixes survive ('Inc.', 'AB') and the domains arrive as recorded, so the join against your own systems happens on evidence rather than on a fuzzy-match apology.
  • The reports carry the agenda MDUFA VI commitment letters, Medicare coverage, AI and digital health - the Advancements series names the association's priorities quarter by quarter, which makes it a dated advocacy timeline rather than a press archive.
  • Scored 5/10 - small but honest Datadory scores this record **5/10** against a catalog mean of 7.81 - credited for a fully verified directory dictionary and a cleanly dated report run, docked because the measurement depth sits at industry-aggregate level rather than per company, leaving the base table lean by design.
  • Pair it with the wider health shelf [KFF State Health Facts](/datasets/health-care-services/kff-state-health-facts-health-costs-data) adds the payer-side state statistics, [Medicare Care Compare](/datasets/health-care-services/medicare-care-compare-hospitals-nursing-homes-home-health-di) drills to facility-level quality, and [Open Payments](/datasets/health-care-services/open-payments-physician-payments-sunshine-act) traces manufacturer-to-physician money. This record supplies the industry roster the rest hang off.

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