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Technology

Wood Mackenzie

Last fetched

Wood Mackenzie is a technology in WhisperGraph's PredictLeads-derived TECHNOLOGY corpus, categorized under analytics, with a published adopter count of 201 hostnames.

Profile

Category
analytics
Broader grouping
intelligence and analytics
Published adopter count
201
Vendor
woodmac.com

Wood Mackenzie is a global research and consultancy firm specializing in energy, chemicals, and renewables. It provides data analytics, market insights, and strategic advice to help businesses navigate complex markets. The firm’s expertise supports decision-making across various sectors, including oil, gas, power, and metals, enhancing understanding of industry trends.

Vendor site: https://www.woodmac.com

Sample adopters

20 hostnames WhisperGraph observed running Wood Mackenzie, a sample of the 201 published adopters.

Hosting concentration

The networks announcing the IP addresses of a sample of 20 Wood Mackenzie adopters, not of all 201 published adopters. A hostname counts once per network.

Related pages

Pivot from Wood Mackenzie into its category and the vendor behind it.

Queries

Resolves the slug's technology-name candidate(s) and projects the winner's fields.


MATCH (t:TECHNOLOGY)
WHERE t.name =~ $pattern
WITH t ORDER BY t.adopterCount DESC, t.name ASC
WITH collect(t)[0] AS winner, count(t) AS candidates
RETURN winner.name AS name,
       winner.description AS description,
       winner.category AS category,
       winner.parentCategories AS parentCategories,
       winner.adopterCount AS adopterCount,
       winner.url AS url,
       winner.vendorApex AS vendorApex,
       candidates
Run yourself →

Reads a 20-host adopter sample and the ASNs announcing its IP addresses.


MATCH (:TECHNOLOGY {name: $name})<-[:RUNS_TECHNOLOGY]-(h:HOSTNAME)
WITH h LIMIT 20
OPTIONAL MATCH (h)-[:RESOLVES_TO]->(:IPV4)-[:ANNOUNCED_BY]->(ap:ANNOUNCED_PREFIX)
OPTIONAL MATCH (a:ASN)-[:ROUTES]->(ap) WHERE a.name IS NOT NULL
RETURN h.name AS host, a.name AS asn
LIMIT 200
Run yourself →

Or query Whisper from your own LLM workflow via the Whisper MCP server.