Medical Imaging Ultrasound Equipment Keyword Candidate Study

Comparative structure study

The largest recorded reporting jurisdiction, Shenzhen, contains 8 records (26.7% of this 30-record cohort). The remaining cohort contains 22 records. The comparison concerns archive composition.

The recorded chain role label Biomedicine and medical devices / Complete systems and use-case applications accounts for 73.3% here (22/30), compared with 7.1% in the parent set (1,373/19,297), an absolute gap of 66.2 percentage points.

18/30 companies link to pages with existing source-supported excerpts (60.0% of the cohort). The other 12 records remain usable for archive composition, but do not support new operating case studies.

An ID-deduplicated archive snapshot, not the whole market, current recognition or operating results.

The parent set, All public archive records, contains 19,297 records. This cohort contributes 30 (0.2%); 19,267 records remain after excluding it.

Ratio of label participation, not market share; multi-label counts overlap.

Excluding this cohort, the recorded chain role label Biomedicine and medical devices / Complete systems and use-case applications covers 1,351/19,267 remaining records (7.0%), an absolute gap of 66.3 percentage points from this cohort.

The full reporting jurisdiction distribution has 14 labels; the top 3 contain 19/30 records (63.3%).Other known labels contain 11 records.

For 30 records with known labels, the effective category count is 6.4, versus 14 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 4 others are included in the calculations above.

Record counts do not rank supply capability or economic size.

The largest intersection, Jiangsu × Biomedicine, contains 5 records, or 71.4% of the 7 records carrying the Jiangsu label.

A cell contains company IDs carrying both labels. It does not establish procurement, supply or investment relationships between firms. Multi-label cells may overlap.

This page displays 8 of the full cross-tab’s 19 non-empty cells; the other 11 remain in the analysis.

Non-empty fields are not necessarily accurate or supported by originals.

Counts concern existing reviewed bilingual excerpts, not re-certification of originals or entire reports.

A rule hit prioritises review; it does not establish that the entire field is wrong. One record can trigger several rules.

An ID may match several fields, so counts may exceed the cohort total. Matches establish search relevance only.

Among the translated non-broad query terms, “medical imaging” has the most matches: 25/30. Name, product and sub-industry fields match 1, 2 and 24 records respectively; the largest field is sub-industry label. Fields can overlap, and a term remains a search link rather than verified business activity.

Selected broad terms and specific segment terms, not the full query. Terms and fields can overlap and must not be summed. Counts show lexical sensitivity; no records are removed without primary evidence.

7 of this cohort’s 30 records link through existing company-ID mappings to 2026 lists from all jurisdictions (23.3%). This intersection measures list linkage, not successful recognition or company growth.

List rows and company IDs are separate counts, not new firms or final recognition.

Device research must verify the specific product scope

The Medical imaging equipment label covers 23 records (76.7% of this cohort). This archive clue raises a verification question about Specific devices with corresponding product and quality-technical documents; it does not establish that these companies already deliver it.

Shared records with Surgical Robot Endoscopy Instruments Keyword Candidate Study: 7; records in this cohort but outside that set: 23. The intersection/union ratio is 15.9%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Surgical Robot Endoscope Minimally Invasive Keyword Candidate Study: 6; records in this cohort but outside that set: 24. The intersection/union ratio is 14.0%, a measure of label overlap rather than business collaboration. Read comparison

Stable-ID samples, not rankings; metrics use the full cohort.