{
  "docId": "019dd923-5e88-73ef-bd59-90204b6c9872",
  "docSlug": "80328e1a1097a9f7",
  "documentTitle": "apr12jlovelock 840572",
  "authorId": "Gartner",
  "authorName": "Gartner",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "industry_analyst",
  "sourceTypeLabel": "Industry analyst",
  "presentationDate": null,
  "orientation": "landscape",
  "aspectRatio": 1.778,
  "pageNumber": 7,
  "pageCount": 27,
  "prevPage": 6,
  "nextPage": 8,
  "slideType": "market_landscape",
  "function": "analyze_data",
  "density": "balanced",
  "nDataPoints": 18,
  "notes": "The chart uses bubble size to represent market scale, though no legend for size is provided. The axes represent growth metrics.",
  "elementsJson": [
    "bubble_chart"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5e88-73ef-bd59-90204b6c9872/7",
  "deckHref": "/decks/019dd923-5e88-73ef-bd59-90204b6c9872",
  "deckJsonHref": "/decks/019dd923-5e88-73ef-bd59-90204b6c9872.json",
  "deckAnchorHref": "/decks/019dd923-5e88-73ef-bd59-90204b6c9872#slide-7",
  "components": [
    {
      "bbox": {
        "h": 0.75,
        "w": 0.9,
        "x": 0.05,
        "y": 0.12
      },
      "kind": "chart",
      "text": "Bubble chart showing 2022 Growth vs 2020-2025 CAGR",
      "attrs": null,
      "subkind": "bubble",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "02cf9912-570f-4334-b071-bbc110aa25c4",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.03,
        "w": 0.08,
        "x": 0.85,
        "y": 0.75
      },
      "kind": "legend",
      "text": "2022 Growth",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "99ccd851-b0dc-4dfa-a4f9-46722a3a8371",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.08,
        "x": 0.16,
        "y": 0.16
      },
      "kind": "legend",
      "text": "2020-2025 CAGR",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "a7be5899-d97e-4df5-a3f8-7fbe01f44e68",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "CAGR",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-163f-7040-911e-812d1a070b3a",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.06,
        "w": 0.35,
        "x": 0.03,
        "y": 0.04
      },
      "kind": "title",
      "text": "IT Databook Market Growth",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "f469836c-4d70-4f91-8bfa-cfb4faded339",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "market-segmentation-pyramid",
      "slug": null,
      "matchId": "2ba9d4fa-2c4d-495f-8012-c372bfb0efc2",
      "evidence": "The chart segments the IT market into distinct categories for comparative analysis.",
      "confidence": 0.6
    }
  ],
  "arcBeats": [
    {
      "to": 8,
      "from": 5,
      "beatId": "c884c75b-4cf7-456f-9f9e-02e6f63d5b5b",
      "arcName": "Monroe's Motivated Sequence",
      "arcSlug": "monroes-sequence",
      "beatName": "Need",
      "beatSlug": "monroes-sequence-need",
      "evidence": "Market trends and growth analysis",
      "position": 1,
      "confidence": 0.8,
      "parentBeatName": "Complication",
      "parentBeatSlug": "complication"
    }
  ],
  "loops": [
    {
      "to": 23,
      "from": 5,
      "name": "Logic Chain",
      "slug": "01-logic-chain",
      "bestFor": "Skeptical audiences, controversial recommendations, rigorous analysis",
      "matchId": "8d4030b0-4539-42d7-b9bd-1e01c0d5dba0",
      "evidence": "Data-driven analysis and market insights",
      "position": 0,
      "objective": "Understand IT spending trends and forecast",
      "structure": "Premise 1 (Accepted truth) -> Premise 2 (Observed fact) -> Therefore... (Inevitable conclusion)",
      "confidence": 0.7,
      "description": "Build an airtight chain of logic where each premise leads inevitably to the conclusion"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}