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產業分析:變革性技術的引進和態度 - 汽車

Industry Survey: Transformative Technology Adoption and Attitudes - Automotive

出版商 ABI Research 商品編碼 521185
出版日期 內容資訊 英文 19 Pages
商品交期: 最快1-2個工作天內
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產業分析:變革性技術的引進和態度 - 汽車 Industry Survey: Transformative Technology Adoption and Attitudes - Automotive
出版日期: 2017年06月29日 內容資訊: 英文 19 Pages

本報告依據各種產業 (零售業,醫療,物流,汽車,製造業,公共事業,一般消費品 (CPG),中央/地方政府) 的455名決策者等的問卷調查,提供在各產業、企業對最新的汽車技術 - 自動駕駛技術,下一代型聯網汽車等 - 的引進的想法,及各公司的技術開發策略中的定位方式,對各產業今後趨勢的影響度,技術普及促進、阻礙因素等的相關分析。


  • 分析方法、背景情況
  • 調查受訪者的分類:企業規模
  • 調查受訪者的分類:在企業的作用和影響力
  • 導入創新的技術的意圖
  • 對技術的親進性
  • 引進創新技術時的障礙
  • 引進創新技術的優點
  • 技術的外包化與內部投資的比較
  • 人工智能 (AI)的用途
  • 經營資料管理
  • 自動駕駛車帶給經營模式的影響
  • 汽車相關的主要變革技術
  • 群眾外包、資料為基礎的聯網汽車、服務
  • SaaS型移動手段 (Mobile as a Service):勝者與敗者
  • 自動駕駛技術引進的障礙
  • 摘要和結論
Product Code: PT-1954

ABI Research conducted an industry survey on transformative technology adoption and attitudes of 455 decision makers, influencers, and implementers in the following verticals: Retail, Healthcare, Logistics, Automotive, Manufacturing, Utilities, Consumer Packaged Goods (CPG), Local, State, and Federal Governments. This report provides a summary of the findings and main conclusions for the Automotive segment related to the adoption and use of a range of technologies including autonomous driving and next-generation connected-car services, as well as expectations from across the ecosystem on how these technologies will impact market dynamics.

Questions cover vendor attitudes toward specific enabling technologies, including AI, 5G, data analytics, and cybersecurity, as well willingness to engage with new vendors, cooperate with long-standing competitors, and adopt new business models.

Table of Contents

  • Methodology and Background
  • Classification of Respondents: Size of Business
  • Classification of Respondents: Role and Influence
  • Willingness to Embrace Innovative Technologies
  • Technological Familiarity
  • Barriers to Adopting Innovative Technologies
  • Benefits of Implementing Innovative Technologies
  • Technology Outsourcing versus Internal Investment
  • Artificial Intelligence Applications
  • Operational Data Management
  • Business Model Implications of Driverless Vehicles
  • Key Automotive Transformative Technologies
  • Connected Car Services Built on Crowdsourced Data
  • Mobile as a Service Winners and Losers
  • Autonomous Technology Deployment Barriers
  • Summary and Conclusions
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