Regional and supply-chain research

Jiangsu / Automotive and transport equipment / Core components and digital hardware Company Structure Study

Jiangsu / Automotive and transport equipment / Core components and digital hardware Company Structure Study. A dated 77-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 industry, New-energy vehicles, contains 39 records (50.6% of this 77-record cohort). The remaining cohort contains 38 records. The comparison concerns archive composition.

The recorded sub-industry label Automotive structural parts and components accounts for 40.3% here (31/77), compared with 31.8% in the parent set (161/506), an absolute gap of 8.4 percentage points.

40/77 companies link to pages with existing source-supported excerpts (51.9% of the cohort). The other 37 records remain usable for archive composition, but do not support new operating case studies.

Company cohortDirectly linked pagesShare of public archiveArchive date
77770.4%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 / Core components and digital hardware, contains 506 records. This cohort contributes 77 (15.2%); 429 records remain after excluding it.

The parent set, Jiangsu, contains 3,025 records. This cohort contributes 77 (2.5%); 2,948 records remain after excluding it.

CategoryCohort count/baseReference: Automotive and transport equipment / Core components and digital hardwareGap (pp)Representation ratioRest count/base
sub-industry · Automotive structural parts and components31/77 · 40.3%161/506 · 31.8%+8.41.27130/429
industry · New-energy vehicles39/77 · 50.6%220/506 · 43.5%+7.21.16181/429
industry · Advanced equipment27/77 · 35.1%204/506 · 40.3%-5.30.87177/429
sub-industry · New-energy-vehicle systems7/77 · 9.1%26/506 · 5.1%+4.01.7719/429
sub-industry · Intelligent driving and automotive electronics6/77 · 7.8%25/506 · 4.9%+2.91.5819/429

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

Excluding this cohort, the recorded sub-industry label Automotive structural parts and components covers 130/429 remaining records (30.3%), an absolute gap of 10.0 percentage points from this cohort.

Concentration and cross-sectional structure

The full industry distribution has 8 labels; the top 3 contain 70/77 records (90.9%).Other known labels contain 7 records.

For 77 records with known labels, the effective category count is 2.6, versus 8 actual labels. Definitions and scope are in the methodology.

Recorded labelRecordsShare of cohort
New-energy vehicles3950.6%
Advanced equipment2735.1%
Next-generation information technology45.2%
Biomedicine22.6%
Energy conservation and environmental protection22.6%
Advanced materials11.3%
New energy and power equipment11.3%
Producer services11.3%

Record counts do not rank supply capability or economic size.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name77/77100.0%
reporting jurisdiction77/77100.0%
industry77/77100.0%
Recorded products77/77100.0%
sub-industry77/77100.0%
Chain labels77/77100.0%

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

Scope of source supportCount
Profiles with source-supported excerpts40
Distinct corresponding companies40
Reviewed Chinese/English paragraph pairs40

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

Transparent rule reminderRecordsCohort share
Contains registration-narrative wording33.9%
Only generic operations vocabulary remains45.2%
Non-empty text shorter than five characters11.3%

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

21 of this cohort’s 77 records link through existing company-ID mappings to 2026 lists from all jurisdictions (27.3%). 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 IDs2102121

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

Stored 2026 local-recommendation records, sources and stage definitions

Related provincial study

The 2025 macro context for Jiangsu uses a different denominator from this cohort.

Jiangsu Company Archive Study

Recorded roles and delivery checks

Delivery framework, stages and original sources

Related studies and shared records

Shared records with Jiangsu / New-energy vehicles Company Structure Study: 39; records in this cohort but outside that set: 38. The intersection/union ratio is 19.8%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Automotive and transport equipment / Core components and digital hardware Supply-chain Study: 77; records in this cohort but outside that set: 0. The intersection/union ratio is 15.2%, a measure of label overlap rather than business collaboration. Read comparison

Company samples and record links

CompanyJurisdictionRecorded industry
Forvision Intelligent Technology (Suzhou) Co., Ltd.JiangsuNew-energy vehicles
Jiangsu Real Longding Industrial Co., Ltd.JiangsuNew-energy vehicles
Jiangsu Bowman Science&technology Co., Ltd.JiangsuAdvanced equipment
China Shipbuilding Jihai (Kunshan) High Tech Co., Ltd.JiangsuAdvanced equipment
Suzhou Henghui Technology Co., Ltd.JiangsuAdvanced materials
Wuxi CRYSTAL Technology Co., Ltd.JiangsuNew-energy vehicles
Changzhou Fulin Zhongdian Intelligent Technology Co., Ltd.JiangsuAdvanced equipment
Nanjing Ticom Tech Co., Ltd.JiangsuAdvanced equipment

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

Directly related profiles and reports

Methodology

Read ID deduplication, comparison, batch and evidence definitions