Regional and supply-chain research

Automotive and transport equipment / Digital software and industrial services Supply-chain Study

Automotive and transport equipment / Digital software and industrial services Supply-chain Study. A dated 58-record cohort study compares composition, parent sets and evidence coverage. Comparative structure study; archive date 2026-10-16.

Revision and archive snapshot: 2026-10-16

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Research findings

Comparative structure study

The largest recorded reporting jurisdiction, Beijing, contains 16 records (27.6% of this 58-record cohort). The remaining cohort contains 42 records. The comparison concerns archive composition.

The recorded industry label Advanced equipment accounts for 24.1% here (14/58), compared with 47.5% in the parent set (669/1,408), an absolute gap of 23.4 percentage points.

20/58 companies link to pages with existing source-supported excerpts (34.5% of the cohort). The other 38 records remain usable for archive composition, but do not support new operating case studies.

Company cohortDirectly linked pagesShare of public archiveArchive date
58580.3%2026-10-16

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

Comparable sets and compositional differences

The parent set, Automotive and transport equipment, contains 1,408 records. This cohort contributes 58 (4.1%); 1,350 records remain after excluding it.

The parent set, All public archive records, contains 19,297 records. This cohort contributes 58 (0.3%); 19,239 records remain after excluding it.

CategoryCohort count/baseReference: Automotive and transport equipmentGap (pp)Representation ratioRest count/base
industry · Advanced equipment14/58 · 24.1%669/1,408 · 47.5%-23.40.51655/1,350
sub-industry · Intelligent driving and automotive electronics16/58 · 27.6%75/1,408 · 5.3%+22.35.1859/1,350
reporting jurisdiction · Beijing16/58 · 27.6%104/1,408 · 7.4%+20.23.7388/1,350
industry · Producer services16/58 · 27.6%112/1,408 · 8.0%+19.63.4796/1,350
industry · Next-generation information technology11/58 · 19.0%80/1,408 · 5.7%+13.33.3469/1,350
reporting jurisdiction · Shanghai10/58 · 17.2%89/1,408 · 6.3%+10.92.7379/1,350
sub-industry · Rail-transport equipment8/58 · 13.8%67/1,408 · 4.8%+9.02.9059/1,350
industry · New-energy vehicles16/58 · 27.6%475/1,408 · 33.7%-6.10.82459/1,350
reporting jurisdiction · Jiangsu7/58 · 12.1%211/1,408 · 15.0%-2.90.81204/1,350

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

Excluding this cohort, the recorded industry label Advanced equipment covers 655/1,350 remaining records (48.5%), an absolute gap of 24.4 percentage points from this cohort.

Concentration and cross-sectional structure

The full reporting jurisdiction distribution has 16 labels; the top 3 contain 33/58 records (56.9%).Other known labels contain 25 records.

For 58 records with known labels, the effective category count is 7.2, versus 16 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 6 others are included in the calculations above.

Recorded labelRecordsShare of cohort
Beijing1627.6%
Shanghai1017.2%
Jiangsu712.1%
Shenzhen46.9%
Hubei46.9%
Anhui35.2%
Sichuan23.4%
Guangdong23.4%
Henan23.4%
Zhejiang23.4%

Record counts do not rank supply capability or economic size.

The largest intersection, Shanghai × Producer services, contains 6 records, or 60.0% of the 10 records carrying the Shanghai label.

reporting jurisdictionindustryIntersection recordsCohort share
ShanghaiProducer services610.3%
BeijingNew-energy vehicles58.6%
BeijingProducer services58.6%
BeijingAdvanced equipment46.9%
ShenzhenNew-energy vehicles46.9%
ShanghaiNext-generation information technology23.4%
BeijingNext-generation information technology23.4%
JiangsuNext-generation information technology23.4%

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 33 non-empty cells; the other 25 remain in the analysis.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name58/58100.0%
reporting jurisdiction58/58100.0%
industry58/58100.0%
Recorded products58/58100.0%
sub-industry58/58100.0%
Chain labels58/58100.0%

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

Scope of source supportCount
Profiles with source-supported excerpts20
Distinct corresponding companies20
Reviewed Chinese/English paragraph pairs20

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

Transparent rule reminderRecordsCohort share
Contains registration-narrative wording11.7%

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

Intersection with 2026 local lists

11 of this cohort’s 58 records link through existing company-ID mappings to 2026 lists from all jurisdictions (19.0%). This intersection measures list linkage, not successful recognition or company growth.

Observation setList recordsNew-applicant recordsReview recordsMapped company IDs
National list records linked to this cohort’s IDs1101111

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

Stored 2026 local-recommendation records, sources and stage definitions

Recorded roles and delivery checks

Delivery framework, stages and original sources

Related studies and shared records

Shared records with Steer By Wire Adas Components Keyword Candidate Study: 17; records in this cohort but outside that set: 41. The intersection/union ratio is 10.5%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Automotive Electronics Smart Cockpit Keyword Candidate Study: 18; records in this cohort but outside that set: 40. The intersection/union ratio is 6.0%, a measure of label overlap rather than business collaboration. Read comparison

Company samples and record links

CompanyJurisdictionRecorded industry
Zhongke Shi Yu (Beijing) Technology Co., Ltd.BeijingNew-energy vehicles
Aisn Innovative Design and Manufacturing Co., Ltd.GuangxiNew-energy vehicles
Shanghai Favorit Automotive Technique Co., Ltd.ShanghaiNext-generation information technology
Hangke Technology Development Co., Ltd.BeijingNext-generation information technology
Beijing Signalway Technologies Co., Ltd.BeijingNext-generation information technology
Nanjing Touching Technology Co., Ltd.JiangsuNext-generation information technology
China Unicom SMART Connection Technology LimitedBeijingNew-energy vehicles
Shanghai Intelligent Connected Vehicle Technology Center Co., Ltd.ShanghaiProducer services

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

Directly related profiles and reports

Methodology

Read ID deduplication, comparison, batch and evidence definitions