Regional and supply-chain research

Marine Offshore Equipment Keyword Candidate Study

Marine Offshore Equipment Keyword Candidate Study. A dated 208-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, Jiangsu, contains 61 records (29.3% of this 208-record cohort). The remaining cohort contains 147 records. The comparison concerns archive composition.

The recorded industry label Advanced equipment accounts for 54.8% here (114/208), compared with 25.5% in the parent set (4,918/19,297), an absolute gap of 29.3 percentage points.

75/208 companies link to pages with existing source-supported excerpts (36.1% of the cohort). The other 133 records remain usable for archive composition, but do not support new operating case studies.

5 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.

Company cohortDirectly linked pagesShare of public archiveArchive date
2082081.1%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, All public archive records, contains 19,297 records. This cohort contributes 208 (1.1%); 19,089 records remain after excluding it.

CategoryCohort count/baseReference: All public archive recordsGap (pp)Representation ratioRest count/base
industry · Advanced equipment114/208 · 54.8%4,918/19,297 · 25.5%+29.32.154,804/19,089
chain role · Automotive and transport equipment / Complete systems and use-case applications56/208 · 26.9%712/19,297 · 3.7%+23.27.30656/19,089
industry · Next-generation information technology17/208 · 8.2%5,226/19,297 · 27.1%-18.90.305,209/19,089
chain role · Electronic information and digital technology / Core components and digital hardware5/208 · 2.4%3,137/19,297 · 16.3%-13.90.153,132/19,089
reporting jurisdiction · Jiangsu61/208 · 29.3%3,025/19,297 · 15.7%+13.71.872,964/19,089
industry · Producer services26/208 · 12.5%954/19,297 · 4.9%+7.62.53928/19,089
chain role · Advanced equipment and industrial automation / Process equipment and inspection instruments55/208 · 26.4%4,085/19,297 · 21.2%+5.31.254,030/19,089
reporting jurisdiction · Zhejiang9/208 · 4.3%1,840/19,297 · 9.5%-5.20.451,831/19,089
reporting jurisdiction · Shanghai21/208 · 10.1%1,131/19,297 · 5.9%+4.21.721,110/19,089
industry · Biomedicine10/208 · 4.8%1,721/19,297 · 8.9%-4.10.541,711/19,089

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

Excluding this cohort, the recorded industry label Advanced equipment covers 4,804/19,089 remaining records (25.2%), an absolute gap of 29.6 percentage points from this cohort.

Concentration and cross-sectional structure

The full reporting jurisdiction distribution has 26 labels; the top 3 contain 103/208 records (49.5%).Other known labels contain 105 records.

For 208 records with known labels, the effective category count is 8.2, versus 26 actual labels. Definitions and scope are in the methodology.

The table shows ten labels; 16 others are included in the calculations above.

Recorded labelRecordsShare of cohort
Jiangsu6129.3%
Shanghai2110.1%
Shandong2110.1%
Guangdong136.2%
Beijing94.3%
Zhejiang94.3%
Qingdao83.8%
Anhui73.4%
Hubei73.4%
Dalian52.4%

Record counts do not rank supply capability or economic size.

The largest intersection, Jiangsu × Advanced equipment, contains 35 records, or 57.4% of the 61 records carrying the Jiangsu label.

reporting jurisdictionindustryIntersection recordsCohort share
JiangsuAdvanced equipment3516.8%
ShandongAdvanced equipment125.8%
GuangdongAdvanced equipment83.8%
JiangsuAdvanced materials83.8%
JiangsuProducer services83.8%
ShanghaiAdvanced equipment73.4%
ZhejiangAdvanced equipment73.4%
ShanghaiProducer services62.9%

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 70 non-empty cells; the other 62 remain in the analysis.

Evidence coverage and strength of conclusions

Record fieldNon-empty/cohortCompletion
Company name208/208100.0%
reporting jurisdiction208/208100.0%
industry208/208100.0%
Recorded products208/208100.0%
sub-industry208/208100.0%
Chain labels208/208100.0%

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

Scope of source supportCount
Profiles with source-supported excerpts75
Distinct corresponding companies75
Reviewed Chinese/English paragraph pairs79

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

Transparent rule reminderRecordsCohort share
Contains registration-narrative wording31.4%
Only generic operations vocabulary remains31.4%

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

Matched fieldCandidatesCohort share
Company name4923.6%
Recorded products15373.6%
Sub-industry8741.8%

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, “ships” has the most matches: 143/208. Name, product and sub-industry fields match 28, 108 and 26 records respectively; the largest field is product field. Fields can overlap, and a term remains a search link rather than verified business activity.

Selected query termCandidates/shareName matchesProduct fieldSub-industry
ships143 · 68.8%2810826

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 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.

Intersection with 2026 local lists

52 of this cohort’s 208 records link through existing company-ID mappings to 2026 lists from all jurisdictions (25.0%). 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 IDs5234952

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 Advanced equipment / Automotive and transport equipment / Complete systems and use-case applications Supply-chain Study: 40; records in this cohort but outside that set: 168. The intersection/union ratio is 7.3%, a measure of label overlap rather than business collaboration. Read comparison

Shared records with Automotive and transport equipment / Complete systems and use-case applications Supply-chain Study: 56; records in this cohort but outside that set: 152. The intersection/union ratio is 6.5%, a measure of label overlap rather than business collaboration. Read comparison

Company samples and record links

CompanyJurisdictionRecorded industry
CRRC SMD (Shanghai) LtdShanghaiAdvanced equipment
Shenzhen RACERN Technology Co., Ltd.ShenzhenNext-generation information technology
Tianjin Wasail Energy Saving Technology Co., Ltd.TianjinBiomedicine
China Shipbuilding Jihai (Kunshan) High Tech Co., Ltd.JiangsuAdvanced equipment
Changzhou Zhonghai Marine Propeller Co., Ltd.JiangsuAdvanced equipment
Jiangsu Zhengdao Marine Technology Co., Ltd.JiangsuAdvanced equipment
Wuxi Haiying-Cal Tec Marine Technology Co., Ltd.JiangsuProducer services
Qingdao Wancheng Anchor CHAIN Co., Ltd.QingdaoAdvanced materials

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

Directly related profiles and reports

Methodology

Read ID deduplication, comparison, batch and evidence definitions