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Gartner Market Data API — Features, Research & Lessons Learned

Send a Gartner market alias or URL — a software category like data-loss-prevention — and this source returns the market's profile: the features buyers evaluate in that category, the research Gartner attaches to it, and the lessons learned buyers left behind after they bought.

Example response
{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "gartner_market",
  "market": "data-loss-prevention",
  "human": "# Gartner Peer Insights market\n\n- **Market:** data-loss-prevention\n- **Proxy traffic:** 2.06 MB\n- **Name:** Data Loss Prevention\n- **Reviews:** 3508\n- **Products:** 93",
  "machine": {
    "market": {
      "id": "412",
      "ref_id": "412",
      "name": "Data Loss Prevention",
      "alias": "data-loss-prevention",
      "subtitle": "What is Data Loss Prevention?",
      "description": "Gartner defines data loss prevention (DLP) as a technical control designed to prevent data loss in order to comply with personal data regulations, prevent unintended disclosure, minimize insider risk and ensure that sensitive data is not overly accessible. DLP controls are typically applied to reduce the data risk for two states of unstructured data: data at rest and data in motion. Depending on t",
      "review_count": 3508,
      "product_count": 93,
      "is_service": null,
      "parent_category": null,
      "features_updated_at": null,
      "mandatory_features": [],
      "common_features": [],
      "review_guidance_keywords": [],
      "research_documents": [],
      "lessons_learned": null,
      "url": "https://www.gartner.com/reviews/market/data-loss-prevention"
    },
    "proxy_traffic_bytes": 2157733
  },
  "total_points": 5
}
You send
A Gartner market alias or URL
You get back
Features, research, and lessons learned for the market
Coverage
Markets (software categories) with a public Gartner Peer Insights profile.
Price
5 pts — $5 per 1,000
Charged only when a market resolves. A market that cannot be found is not billed.
Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

ApproachWhat it takesCostTrade-off
Reading the market overview page by handOpen the page and read through the research and lessons-learned sectionsFree, and slowFine for one category, unworkable across several
Building a scraperWrite it, host it, and repair it when the layout movesEngineering timeA maintenance commitment for something that is not your product
NeuralVergeOne request per market$5 per 1,000, misses not billedReturns what the market profile publishes — a category snapshot, not a full analyst report
Response

What you get back

Every field in the response shown above.

FieldTypeDescription
idstringGartner's internal market ID.
ref_idstringGartner's market reference ID.
namestringMarket name.
aliasstringMarket alias.
subtitlestringShort subtitle Gartner shows under the market name.
descriptionstringMarket description as Gartner publishes it.
review_countnumberTotal number of reviews across products in this market.
product_countnumberHow many products are listed in this market.
is_servicebooleanWhether Gartner classifies this as a service market rather than a product market, when reported.
parent_categoryobjectThe top-level category this market nests under, when Gartner reports one.
features_updated_atstringWhen Gartner last updated the feature list for this market, when available.
mandatory_featuresarrayFeatures Gartner treats as mandatory for products in this market.
common_featuresarrayFeatures Gartner treats as commonly offered in this market.
review_guidance_keywordsarrayKeywords Gartner surfaces to guide reviewers writing about this market.
research_documentsarrayResearch items Gartner attaches to the market.
lessons_learnedobjectLessons learned buyers left behind after purchase, when Gartner has captured any.
urlstringDirect link to the market's Peer Insights page.
Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

One market alias or URL per request. Find the alias with Gartner markets search or Gartner categories.

curl -X POST https://api.neuralverge.ai/functions/v1/run-gartner-markets \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "market": "data-loss-prevention" }'
Use cases

What teams use it for

Where this field shows up in an actual workflow.

Category research

Understand what a category's own buyers say they weigh before you position against it.

Buying-criteria briefs

Turn the features section into a checklist for an internal evaluation.

Messaging validation

Check whether lessons learned surface a gap your positioning already addresses.

Analyst-adjacent research

Get a fast read on a market's shape before commissioning a deeper analyst engagement.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

Markets (software categories) with a public Gartner Peer Insights profile.

Freshness

Read at request time.

Handling

This source returns publicly visible market information, stamped with the alias it was read from and a session id you can trace.

What it will not do
  • —This is the market's own summary content, not the full Gartner Magic Quadrant or analyst report behind it.
  • —Lessons learned are self-selected buyer input and skew toward whoever chose to write one.
  • —It takes a market alias, not a free-text category name — resolve it with Gartner markets search or Gartner categories first.
FAQ

Questions, answered

Yes — a Gartner market is a software category, identified by an alias like data-loss-prevention. It's distinct from a product or a vendor, which sit inside it.

Related

Related sources

Try gartner market on your own data

One request format across every source in the catalog.

Get started