Smart Energy Management Carbon Platform Keyword Candidate Study

Comparative structure study

The largest recorded reporting jurisdiction, Beijing, contains 11 records (25.0% of this 44-record cohort). The remaining cohort contains 33 records. The comparison concerns archive composition.

The recorded industry label New energy and power equipment accounts for 36.4% here (16/44), compared with 3.9% in the parent set (757/19,297), an absolute gap of 32.4 percentage points.

13/44 companies link to pages with existing source-supported excerpts (29.5% of the cohort). The other 31 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 44 (0.2%); 19,253 records remain after excluding it.

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

Excluding this cohort, the recorded industry label New energy and power equipment covers 741/19,253 remaining records (3.8%), an absolute gap of 32.5 percentage points from this cohort.

The full reporting jurisdiction distribution has 13 labels; the top 3 contain 26/44 records (59.1%).Other known labels contain 18 records.

For 44 records with known labels, the effective category count is 7.0, versus 13 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 3 others are included in the calculations above.

Record counts do not rank supply capability or economic size.

The largest intersection, Beijing × Next-generation information technology, contains 4 records, or 36.4% of the 11 records carrying the Beijing 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 25 non-empty cells; the other 17 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, “energy management” has the most matches: 43/44. Name, product and sub-industry fields match 0, 16 and 29 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.

5 of this cohort’s 44 records link through existing company-ID mappings to 2026 lists from all jurisdictions (11.4%). 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.

Power-equipment design must connect to manufacturing and assembly

The Construction-machinery instruments and smart power-distribution control label covers 1 records (2.3% of this cohort). This archive clue raises a verification question about Components or equipment with design-to-manufacturing fit documents; it does not establish that these companies already deliver it.

Shared records with Energy Carbon Management Software Keyword Candidate Study: 8; records in this cohort but outside that set: 36. The intersection/union ratio is 17.4%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with New energy and power equipment / Digital software and industrial services Supply-chain Study: 10; records in this cohort but outside that set: 34. The intersection/union ratio is 11.8%, a measure of label overlap rather than business collaboration. Read comparison

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