Smart City Government Digitalization Keyword Candidate Study

Comparative structure study

The largest recorded reporting jurisdiction, Beijing, contains 15 records (23.8% of this 63-record cohort). The remaining cohort contains 48 records. The comparison concerns archive composition.

The recorded chain role label Electronic information and digital technology / Digital software and industrial services accounts for 57.1% here (36/63), compared with 6.9% in the parent set (1,329/19,297), an absolute gap of 50.3 percentage points.

21/63 companies link to pages with existing source-supported excerpts (33.3% of the cohort). The other 42 records remain usable for archive composition, but do not support new operating case studies.

2 keyword candidates match only a company name, with no matching term in recorded products or sub-industry fields. Product evidence is needed before treating these as operating businesses in this segment.

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 63 (0.3%); 19,234 records remain after excluding it.

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

Excluding this cohort, the recorded chain role label Electronic information and digital technology / Digital software and industrial services covers 1,293/19,234 remaining records (6.7%), an absolute gap of 50.4 percentage points from this cohort.

The full reporting jurisdiction distribution has 20 labels; the top 3 contain 27/63 records (42.9%).Other known labels contain 36 records.

For 63 records with known labels, the effective category count is 9.9, versus 20 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 10 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 13 records, or 86.7% of the 15 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 31 non-empty cells; the other 23 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.

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 cities” has the most matches: 41/63. Name, product and sub-industry fields match 2, 38 and 2 records respectively; the largest field is product field. 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.

2 candidates match only a name, or lose all product-field matches after the full company name is removed while sub-industry also has no hit. This transparent string test locates copied company descriptions; it does not establish that a company does not operate the business.

15 of this cohort’s 63 records link through existing company-ID mappings to 2026 lists from all jurisdictions (23.8%). 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.

Shared records with Database Data Governance Keyword Candidate Study: 12; records in this cohort but outside that set: 51. The intersection/union ratio is 5.1%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with AI Computing Keyword Candidate Study: 20; records in this cohort but outside that set: 43. The intersection/union ratio is 4.4%, a measure of label overlap rather than business collaboration. Read comparison

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