# Healthcare market data insights

> Counts and shares from the Dmand AI database on US hospitals and health systems, with the method, the universe and the month for every figure.

Source: https://dmand.ai/insights

Counts from the Dmand AI database on US hospitals and health systems, refreshed every month.

Latest insight Data insight

## [EHR market share in 2026: Epic runs 38% of US hospital EHRs](https://dmand.ai/insights/ehr-market-share)

Which inpatient EHR US hospitals run, by EHR, hospital size and state, counted every month in the Dmand AI database.

[Supreet Gupta](https://dmand.ai/authors/supreet-gupta), Co-founder and Chief Product Officer, Dmand AI

Updated Oct 28, 2026 Data: Dmand AI database

## EHR market share by state

Every state has its own page, with each EHR beside its share of all US hospitals. Pick a state on the map or from the list.

[AK](https://dmand.ai/insights/ehr-market-share/alaska) [ME](https://dmand.ai/insights/ehr-market-share/maine) [WI](https://dmand.ai/insights/ehr-market-share/wisconsin) [VT](https://dmand.ai/insights/ehr-market-share/vermont) [NH](https://dmand.ai/insights/ehr-market-share/new-hampshire) [WA](https://dmand.ai/insights/ehr-market-share/washington) [ID](https://dmand.ai/insights/ehr-market-share/idaho) [MT](https://dmand.ai/insights/ehr-market-share/montana) [ND](https://dmand.ai/insights/ehr-market-share/north-dakota) [MN](https://dmand.ai/insights/ehr-market-share/minnesota) [IL](https://dmand.ai/insights/ehr-market-share/illinois) [MI](https://dmand.ai/insights/ehr-market-share/michigan) [NY](https://dmand.ai/insights/ehr-market-share/new-york) [MA](https://dmand.ai/insights/ehr-market-share/massachusetts) [OR](https://dmand.ai/insights/ehr-market-share/oregon) [NV](https://dmand.ai/insights/ehr-market-share/nevada) [WY](https://dmand.ai/insights/ehr-market-share/wyoming) [SD](https://dmand.ai/insights/ehr-market-share/south-dakota) [IA](https://dmand.ai/insights/ehr-market-share/iowa) [IN](https://dmand.ai/insights/ehr-market-share/indiana) [OH](https://dmand.ai/insights/ehr-market-share/ohio) [PA](https://dmand.ai/insights/ehr-market-share/pennsylvania) [NJ](https://dmand.ai/insights/ehr-market-share/new-jersey) [CT](https://dmand.ai/insights/ehr-market-share/connecticut) [RI](https://dmand.ai/insights/ehr-market-share/rhode-island) [CA](https://dmand.ai/insights/ehr-market-share/california) [UT](https://dmand.ai/insights/ehr-market-share/utah) [CO](https://dmand.ai/insights/ehr-market-share/colorado) [NE](https://dmand.ai/insights/ehr-market-share/nebraska) [MO](https://dmand.ai/insights/ehr-market-share/missouri) [KY](https://dmand.ai/insights/ehr-market-share/kentucky) [WV](https://dmand.ai/insights/ehr-market-share/west-virginia) [VA](https://dmand.ai/insights/ehr-market-share/virginia) [MD](https://dmand.ai/insights/ehr-market-share/maryland) [DE](https://dmand.ai/insights/ehr-market-share/delaware) [AZ](https://dmand.ai/insights/ehr-market-share/arizona) [NM](https://dmand.ai/insights/ehr-market-share/new-mexico) [KS](https://dmand.ai/insights/ehr-market-share/kansas) [AR](https://dmand.ai/insights/ehr-market-share/arkansas) [TN](https://dmand.ai/insights/ehr-market-share/tennessee) [NC](https://dmand.ai/insights/ehr-market-share/north-carolina) [SC](https://dmand.ai/insights/ehr-market-share/south-carolina) [DC](https://dmand.ai/insights/ehr-market-share/district-of-columbia) [OK](https://dmand.ai/insights/ehr-market-share/oklahoma) [LA](https://dmand.ai/insights/ehr-market-share/louisiana) [MS](https://dmand.ai/insights/ehr-market-share/mississippi) [AL](https://dmand.ai/insights/ehr-market-share/alabama) [GA](https://dmand.ai/insights/ehr-market-share/georgia) [HI](https://dmand.ai/insights/ehr-market-share/hawaii) [TX](https://dmand.ai/insights/ehr-market-share/texas) [FL](https://dmand.ai/insights/ehr-market-share/florida)

_Epic Oracle Cerner MEDITECH_

_The inpatient EHR that runs the most hospitals in each state_

| State | Runs the most hospitals |
| --- | --- |
| Alabama | Oracle Cerner: 26% (18 of 68 hospitals) |
| Alaska | Oracle Cerner: 47% (7 of 15 hospitals) |
| Arizona | Oracle Cerner: 53% (42 of 80 hospitals) |
| Arkansas | Epic: 28% (19 of 67 hospitals) |
| California | Epic: 31% (81 of 263 hospitals) |
| Colorado | Epic: 37% (27 of 73 hospitals) |
| Connecticut | Epic: 57% (12 of 21 hospitals) |
| Delaware | Oracle Cerner: 42% (5 of 12 hospitals) |
| District of Columbia | Oracle Cerner: 50% (4 of 8 hospitals) |
| Florida | Oracle Cerner: 36% (95 of 267 hospitals) |
| Georgia | Epic: 43% (70 of 164 hospitals) |
| Hawaii | Epic: 54% (14 of 26 hospitals) |
| Idaho | Epic: 31% (15 of 48 hospitals) |
| Illinois | Epic: 50% (97 of 195 hospitals) |
| Indiana | Epic: 33% (53 of 161 hospitals) |
| Iowa | Epic: 43% (52 of 122 hospitals) |
| Kansas | Oracle Cerner: 36% (52 of 144 hospitals) |
| Kentucky | Epic: 32% (36 of 113 hospitals) |
| Louisiana | Epic: 27% (48 of 177 hospitals) |
| Maine | Oracle Cerner: 40% (14 of 35 hospitals) |
| Maryland | Epic: 40% (23 of 57 hospitals) |
| Massachusetts | Epic: 42% (39 of 93 hospitals) |
| Michigan | Epic: 47% (74 of 156 hospitals) |
| Minnesota | Epic: 75% (103 of 137 hospitals) |
| Mississippi | Epic: 32% (35 of 109 hospitals) |
| Missouri | Epic: 38% (48 of 127 hospitals) |
| Montana | Oracle Cerner: 24% (15 of 63 hospitals) |
| Nebraska | Epic: 28% (27 of 95 hospitals) |
| Nevada | Oracle Cerner: 42% (21 of 50 hospitals) |
| New Hampshire | Epic: 31% (9 of 29 hospitals) |
| New Jersey | Epic: 56% (50 of 89 hospitals) |
| New Mexico | Epic: 29% (15 of 52 hospitals) |
| New York | Epic: 46% (87 of 191 hospitals) |
| North Carolina | Epic: 56% (70 of 124 hospitals) |
| North Dakota | Epic: 50% (25 of 50 hospitals) |
| Ohio | Epic: 64% (134 of 211 hospitals) |
| Oklahoma | Epic: 39% (55 of 142 hospitals) |
| Oregon | Epic: 68% (43 of 63 hospitals) |
| Pennsylvania | Epic: 50% (104 of 210 hospitals) |
| Rhode Island | Epic: 43% (6 of 14 hospitals) |
| South Carolina | Epic: 48% (41 of 85 hospitals) |
| South Dakota | MEDITECH: 40% (25 of 62 hospitals) |
| Tennessee | Oracle Cerner: 36% (50 of 140 hospitals) |
| Texas | Oracle Cerner: 26% (137 of 537 hospitals) |
| Utah | Oracle Cerner: 48% (26 of 54 hospitals) |
| Vermont | Oracle Cerner: 31% (5 of 16 hospitals) |
| Virginia | Epic: 56% (61 of 108 hospitals) |
| Washington | Epic: 60% (59 of 98 hospitals) |
| West Virginia | Epic: 32% (19 of 59 hospitals) |
| Wisconsin | Epic: 73% (110 of 150 hospitals) |
| Wyoming | Oracle Cerner: 45% (13 of 29 hospitals) |

_Source: Dmand AI database, October 28, 2026. Hospitals with an inpatient EHR on file. 50 states and DC on the map._

States with the most hospitals

- [Texas Oracle Cerner leads with 26% 537 hospitals](https://dmand.ai/insights/ehr-market-share/texas)
- [Florida Oracle Cerner leads with 36% 267 hospitals](https://dmand.ai/insights/ehr-market-share/florida)
- [California Epic leads with 31% 263 hospitals](https://dmand.ai/insights/ehr-market-share/california)
- [Ohio Epic leads with 64% 211 hospitals](https://dmand.ai/insights/ehr-market-share/ohio)
- [Pennsylvania Epic leads with 50% 210 hospitals](https://dmand.ai/insights/ehr-market-share/pennsylvania)
- [Illinois Epic leads with 50% 195 hospitals](https://dmand.ai/insights/ehr-market-share/illinois)

## How every insight is counted

- Counts, not estimates

  Each figure counts US hospitals or health systems in the Dmand AI database, and the page says which ones.

- Dated and refreshed monthly

  Every page shows the day it was counted. The Updated date moves only when a count changes.

- Free to cite and download

  Each insight has a citation to copy and a CSV of its counts, free for your email address.

[How EHR market share is counted](https://dmand.ai/insights/ehr-market-share#method)

## More hospital data

Rankings and directories from the same database.

- Ranked list

  ### [The largest hospitals in the US by staffed beds](https://dmand.ai/hospitals/largest-hospitals-in-the-us-by-staffed-beds/)

  AdventHealth Orlando leads with 2,863 staffed beds.

  Updated monthly

- Directory

  ### [US hospitals by state and type](https://dmand.ai/hospitals/)

  6.2K+ hospitals, each with its health system and the sites of care under it.

  Updated monthly

Newsletter · Free, on Substack Issue 1 · September 24, 2026

## Selling Into Healthcare

Org structures, buyer maps, data playbooks and outbound, for teams selling to US health systems, hospitals and practices.

In every issue

1. 01 How healthcare buys
2. 02 Data notes
3. 03 Build notes
4. 04 Field notes from real outbound to providers

Latest issue

Newsletter

### [The healthcare sales map was wrong. So we drew a new one.](https://dmand.ai/blog/healthcare-sales-map)

6 min read Sep 24, 2026

Hospital technology data

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Filter hospitals by inpatient EHR, state and bed size, then see the CIO and IT leaders at each site with direct dials.

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