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  "documentTitle": "Third Point Management | Activist Presentation Deck | 102 slides",
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  "authorName": "Third Point",
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  "presentationDate": "2019-06-01 00:00:00",
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  "pageNumber": 31,
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  "slideType": "market_sizing",
  "function": "size_opportunity",
  "density": "dense",
  "nDataPoints": 24,
  "notes": "Includes a TAM calculation table and a historical chart of CIS units per vehicle.",
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      "kind": "chart",
      "text": "Automotive image sensor units / vehicles sold from 2015 to 2020E",
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      "text": "Tesla Model 3 sensor visualization",
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      "kind": "list",
      "text": "Our research suggests Tesla's Model 3, capable of Level 2 autonomy, is equipped with 12 sensors and 8 cameras\nTo move from Level 2 to Level 5, we believe the camera count will move from 8 to at least 10-12 (maybe more)",
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      "text": "Digital imaging is becoming a more important feature of automobile design. This is a trend that will only accelerate as autonomous driving grows\nToday there are an average of ~3 cameras per vehicle sold. Our research suggests that with fully autonomous automotive fleet, the average car will be equipped with at least 10-12 cameras (Tesla Model 3 already has 8 cameras)\nWe believe ASPs for machine vision cameras necessary for autonomous driving command ASPs 50-100% higher than current auto image sensors\nGiven these trends, we believe the automotive image sensor market could grow to a $4-7bn market over time\nWhile Sony has limited presence in automotive today, our diligence suggests that the company is gaining traction with customers and it is a matter of time before they replicate their success in smartphones within the automotive space",
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      "kind": "source-note",
      "text": "Source: Techno Systems Research",
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      "kind": "table",
      "text": "Automotive image sensor TAM table showing Global Vehicle Sales, CIS Units/Vehicle, and Automotive CIS Units for 2018 and three scenarios for World with Level 5 Autonomy.",
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      "kind": "title",
      "text": "Future growth driver – Automotive",
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