{
  "docId": "019dd923-5de0-76bd-a169-8a16512da37d",
  "docSlug": "9345979aeffd3f80",
  "documentTitle": "The Dawn of the Deep Tech Ecosystem",
  "authorId": "BCG",
  "authorName": "BCG",
  "documentKindSlug": "consulting-deck",
  "documentKindLabel": "Consulting deck",
  "sourceTypeSlug": "strategy_consulting",
  "sourceTypeLabel": "Strategy consulting",
  "presentationDate": null,
  "orientation": "portrait",
  "aspectRatio": 0.707,
  "pageNumber": 34,
  "pageCount": 44,
  "prevPage": 33,
  "nextPage": 35,
  "slideType": "industry_trends",
  "function": "analyze_data",
  "density": "overcrowded",
  "nDataPoints": 27,
  "notes": "The chart illustrates the shift in resource needs from early-stage to mature startups, highlighting that funding and technical expertise are critical early on, while market access and visibility become more important later.",
  "elementsJson": [
    "paragraph",
    "bar_chart_grouped",
    "footnote"
  ],
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019dd923-5de0-76bd-a169-8a16512da37d/34",
  "deckHref": "/decks/019dd923-5de0-76bd-a169-8a16512da37d",
  "deckJsonHref": "/decks/019dd923-5de0-76bd-a169-8a16512da37d.json",
  "deckAnchorHref": "/decks/019dd923-5de0-76bd-a169-8a16512da37d#slide-34",
  "components": [
    {
      "bbox": null,
      "kind": "callout",
      "text": "The attractiveness of various types of partners shifts as well because startups turn to different stakeholders over time in order to obtain access to needed resources.",
      "attrs": null,
      "subkind": null,
      "toolName": "Visual emphasis",
      "toolSlug": "visual-emphasis",
      "confidence": null,
      "componentId": "019dd952-048e-7031-a3bd-4bfa050e6790",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.25,
        "w": 0.88,
        "x": 0.06,
        "y": 0.445
      },
      "kind": "chart",
      "text": "Bar chart showing resource needs by TRL stage",
      "attrs": null,
      "subkind": "bar-grouped",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "07b20688-9b6f-458c-bff8-3809fb3d89a8",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": null,
      "kind": "metric",
      "text": "Percentage of startups",
      "attrs": null,
      "subkind": "primary",
      "toolName": "Quantification",
      "toolSlug": "quantification",
      "confidence": null,
      "componentId": "019dd952-048e-7031-a3bd-4d43b751ab9f",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.42,
        "x": 0.51,
        "y": 0.185
      },
      "kind": "paragraph",
      "text": "Corporations and investors seek financial returns, but in the early phases of technology development, they might have other more important priorities, such as access to knowledge in a particular technology or the desire to have a stake in the game in case things start to take off. When the prospects for commercialization become more concrete, the focus shifts to financial goals. As a consequence of these evolving needs and priorities, the nature of collaboration also changes, and companies deploy different tools and models for their ecosystem participation.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "46a8c468-50ae-41bd-9d87-732895049128",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.42,
        "x": 0.06,
        "y": 0.045
      },
      "kind": "paragraph",
      "text": "market opportunities is an important advantage for them. In 2018, there were 1,200 fab labs and more than 1,500 deep tech incubators and accelerators worldwide. The rising level of facilitator activity is also evident in the soaring number of meetings and conferences. The number of such events in Europe jumped from 8,000 in 2012 to 63,000 in 2017.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "5b76e330-4430-4ba8-853c-80cabc4f0f06",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.42,
        "x": 0.51,
        "y": 0.045
      },
      "kind": "paragraph",
      "text": "The attractiveness of various types of partners shifts as well because startups turn to different stakeholders over time in order to obtain access to needed resources. For example, the percentage of qualified startups in the 2018 Hello Tomorrow Challenge that are looking to corporate partners for help with product development drops from 38% to 24% between the experimental and the commercialization stages, while the percentage seeking assistance with product distribution rises from 24% to 47%.",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "73a55aa8-c745-4b36-8a6d-664393a4a15c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.12,
        "w": 0.42,
        "x": 0.06,
        "y": 0.17
      },
      "kind": "paragraph",
      "text": "Dynamic Structures and Relationships. Deep tech ecosystems are more dynamic and fluid than other types of ecosystems. As an emerging technology or industry grows and matures, so do the relationships between the ecosystem's stakeholders. From the research phase to commercialization, roles and expectations evolve. Compared with early-stage startups, for example, mature startups in the commercialization phase need expertise and lab and testing facilities less, and talent, visibility, and access to the market more. (See Exhibit 15.)",
      "attrs": null,
      "subkind": "paragraph",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "c3de8ad8-0d6a-43f6-a67e-2f19e9b7cb9e",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.88,
        "x": 0.06,
        "y": 0.76
      },
      "kind": "source-note",
      "text": "Sources: Hello Tomorrow Challenge; Hello Tomorrow and BCG analysis. Note: Based on data from 1,646 deep tech startups that qualified for the second round of the Hello Tomorrow Challenge in 2018 (from 4,500 applications). TRL = technology readiness level on a NASA-originated scale of 1 to 9.",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "8da308cb-9ecb-4cf0-b8f7-f254cd53c23c",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.04,
        "w": 0.88,
        "x": 0.06,
        "y": 0.375
      },
      "kind": "title",
      "text": "Exhibit 15 - Deep Tech Startups' Most-Needed Resources Evolve as the Company Matures",
      "attrs": null,
      "subkind": "headline",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "9a13543c-4666-4feb-bfe4-efb133fd79f0",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [
    {
      "name": "Action Titles",
      "slug": "action-titles",
      "agent": "Architect",
      "layer": "slide",
      "matchId": "019dd95a-1575-7358-9702-f633ec4d3941",
      "evidence": "Title 'Most-Needed Resources Evolve as the Company Matures' states insight",
      "confidence": 85
    },
    {
      "name": "Chart Selection Guide",
      "slug": "chart-selection-guide",
      "agent": "Designer",
      "layer": "slide",
      "matchId": "019dd95a-1575-7358-9702-fad42e06181a",
      "evidence": "Stage-by-stage visualization of resource priorities",
      "confidence": 72
    },
    {
      "name": "Data Story Arc",
      "slug": "data-story-arc",
      "agent": "Storyteller",
      "layer": "slide",
      "matchId": "e7c318f2-7790-40a3-b2b7-19e85c7d1645",
      "evidence": "The attractiveness of various types of partners shifts as well because startups turn to different stakeholders over time...",
      "confidence": 0.6
    }
  ],
  "frameworks": [],
  "arcBeats": [
    {
      "to": 35,
      "from": 24,
      "beatId": "019dd95a-0702-74a3-87e1-ffb52a3364e0",
      "arcName": "The Triple Take",
      "arcSlug": "triple-take",
      "beatName": "The Implications (So What)",
      "beatSlug": "triple-take-the-implications-so-what",
      "evidence": "'What's Driving Deep Tech?' + 'It Takes an Ecosystem' analysis",
      "position": 2,
      "confidence": 78,
      "parentBeatName": "Reflection",
      "parentBeatSlug": "reflection"
    },
    {
      "to": 35,
      "from": 33,
      "beatId": "019dd95a-0702-74a3-87e2-128a0afbea7d",
      "arcName": "The Consultant's Gambit",
      "arcSlug": "consultants-gambit",
      "beatName": "Evidence & Proof",
      "beatSlug": "consultants-gambit-evidence-proof",
      "evidence": "MIT Media Lab case + resource-evolution exhibit",
      "position": 4,
      "confidence": 65,
      "parentBeatName": "Evidence",
      "parentBeatSlug": "evidence"
    }
  ],
  "loops": [
    {
      "to": 35,
      "from": 33,
      "name": "Precedent",
      "slug": "09-precedent",
      "bestFor": "Risk mitigation, strategy validation, building confidence in new approaches",
      "matchId": "019dd95a-088c-724c-b30e-77cdfbaba559",
      "evidence": "MIT case study + resources-evolve exhibit + horizontal/decentralized structure description",
      "position": 7,
      "objective": "Use MIT Media Lab + resource-evolution evidence to validate ecosystem model",
      "structure": "The Precedent Case -> What Happened -> The Parallel -> Applied Learning",
      "confidence": 70,
      "description": "Use historical or external examples to validate your approach"
    }
  ],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}