Smart Grid Energy Metering Terminals Keyword Candidate Study

Comparative structure study

The largest recorded reporting jurisdiction, Zhejiang, contains 10 records (26.3% of this 38-record cohort). The remaining cohort contains 28 records. The comparison concerns archive composition.

The recorded chain role label New energy and power equipment / Core components and digital hardware accounts for 26.3% here (10/38), compared with 0.9% in the parent set (180/19,297), an absolute gap of 25.4 percentage points.

9/38 companies link to pages with existing source-supported excerpts (23.7% of the cohort). The other 29 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 38 (0.2%); 19,259 records remain after excluding it.

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

Excluding this cohort, the recorded chain role label New energy and power equipment / Core components and digital hardware covers 170/19,259 remaining records (0.9%), an absolute gap of 25.4 percentage points from this cohort.

The full reporting jurisdiction distribution has 12 labels; the top 3 contain 22/38 records (57.9%).Other known labels contain 16 records.

For 38 records with known labels, the effective category count is 7.0, versus 12 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 2 others are included in the calculations above.

Record counts do not rank supply capability or economic size.

The largest intersection, Zhejiang × Advanced equipment, contains 4 records, or 40.0% of the 10 records carrying the Zhejiang 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 22 non-empty cells; the other 14 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, “smart electricity meters” has the most matches: 26/38. Name, product and sub-industry fields match 0, 5 and 22 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.

6 of this cohort’s 38 records link through existing company-ID mappings to 2026 lists from all jurisdictions (15.8%). 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.

Check traceability and conditions before comparing measurement data

The Smart electricity meters and energy-metering terminals label covers 19 records (50.0% of this cohort). This archive clue raises a verification question about Measurement data or instruments with defined objects and methods; it does not establish that these companies already deliver it.

Shared records with Smart Power Meter Terminal Keyword Candidate Study: 32; records in this cohort but outside that set: 6. The intersection/union ratio is 82.1%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Electronic Measurement Control Keyword Candidate Study: 28; records in this cohort but outside that set: 10. The intersection/union ratio is 16.0%, a measure of label overlap rather than business collaboration. Read comparison

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