CategoriesWireless & RFWireless ModulesWiFi Modules

WiFi Modules

AVAILABLE
wifi-modules · level 3 · tier A · leaf · 454 SKUs measured across distributors · 26 observations across 2 vantages
Public · Free tier
Channel Lens · Tier 1
Brands tracked
11
Distinct alias forms
7
Top-form share
42%
Vantage coverage
ai · canonical

How is this category named, across the funnel?

Top alias forms observed at this Kim category in W19, across AI / OEM / distributor / aggregator surfaces. Wide spread = wider arbitrage window.

wifi-modules
42%
canonical
11 brands
wifi modules
38%
canonical
10 brands
front-end-modules | wi-fi-modules
4%
ai
1 brand
WiFi Front-End Modules
4%
ai
1 brand
GPS Front-End Modules | Wi-Fi Front-End Modules
4%
ai
1 brand
Front-End Modules
4%
ai
1 brand
DDR4 Server Memory Modules
4%
ai
1 brand
What you unlock

WiFi Modules — paid-tier surface

🔒 PAID TIER
11 brands competing here
Per-brand convergence scores · vantage coverage · full sourcing-card drill-down per brand.
7 brand category peers identified
Qwen-grounded peers with rationale, confidence, and verify_targets per peer. Sourcing-desk starting point.
50 manufacturing facilities · 16 brands · 14 countries
Geographic concentration breakdown · top brands by facility count · facility-type mix · supply-risk story.
Live week-over-week trajectory
Fragmentation direction, channel-pull attribution (which external vantage AI is closest to), drift narratives.
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Public preview · counts only · no brand names, scores, or specific facility data shown

Adjacent categories

Semantically nearest Kim categories — useful for the sourcing buyer scanning for related parts. Cosine similarity over name embeddings.

Wireless Modules
cos 0.85
10 brands · 10 forms
Combo Wireless Modules
cos 0.72
no brand data yet
Wireless & RF
cos 0.71
10 brands · 7 forms
Bluetooth Modules
cos 0.69
10 brands · 5 forms
Cellular Modules
cos 0.64
11 brands · 5 forms
source: tapes_kim_slug_embeddings_bge_m3_2026-W19 · model: bge-m3-cr-tapes-v1
data: /shared/exports/cr_per_kim_slug_rollup_2026-W19.json
methodology: per-(brand × vantage × form) aggregation, top-form share within (brand × vantage) cells, divergence classified at category level. bge-m3-cr-tapes-v1 embeddings.
Tapes substrates: facility_kim_slug_mapping · brand_category_peers · kim_slug_embeddings