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市場調查報告書

轉換AI和AR的匯流:商業應用的未來

Convergence of AI and AR: Transforming the Future of Business Applications

出版商 Frost & Sullivan 商品編碼 883648
出版日期 內容資訊 英文 60 Pages
商品交期: 最快1-2個工作天內
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轉換AI和AR的匯流:商業應用的未來 Convergence of AI and AR: Transforming the Future of Business Applications
出版日期: 2019年06月28日內容資訊: 英文 60 Pages
簡介

本報告提供轉換商業應用的人工智能 (AI) 的擴增實境 (AR)的匯流相關調查,AI + AR匯流概要,主要標的產業,AI + AR的利用案例,提供AI + AR的企業,智慧財產權 (IP) 、及分析師的建議等相關分析。

第1章 摘要整理

第2章 AI + AR:簡介

  • 人工智能 (AI)的定義
  • 擴增實境 (AR)的定義
  • 主要的匯流的啟用:AI + AR

第3章 影響AI + AR引進的要素

  • 促進AI + AR引進的未來趨勢
  • 妨礙AI + AR引進的要素
  • AR內容有限的可用性及規格的缺乏是妨礙引進的主要原因

第4章 主要標的產業

  • GPS導航的改善及增強商店內客戶經驗,是汽車、零售主要應用
  • AI + AR,為旅遊業吸引新觀光客,帶給醫療保健複雜手術各種附加價值

第5章 AI + AR的利用案例

第6章 關注企業:提供AI + AR解決方案的企業的清單

第7章 企業簡介

第8章 專利評估

第9章 分析師的建議

第10章 聯絡處

目錄
Product Code: D8D0

An overview on how AI+AR is Impacting Customer Experience and the Way Businesses Work

The convergence of artificial intelligence and augmented reality is transforming business applications and is likely to have a profound impact on customer experience and the way businesses work. Computer vision, an artificial intelligence technology, allows computers to understand the objects seen through cameras, which are identified and labeled using augmented reality. Companies are developing next-generation applications with capabilities such as providing hyper-personalized experience, operating complex surgeries, self-driving and other intelligent interactive features that employ artificial intelligence and augmented reality technologies.

Companies, such as Google, Nvidia, IBM, Blippar, TechSee, Octi, Wrnch are among many other companies focusing on developing AI+AR solutions that unlock new business opportunities.

In brief, this research service covers the following points:

  • AI, AR and their convergence - An Overview
  • Key target industries
  • Use cases within AI+AR
  • Companies offering AI+AR
  • Intellectual property (IP) analysis
  • Analyst recommendations

Table of Contents

1.0. Executive Summary

  • 1.1. Research Scope
  • 1.2. Research Methodology
  • 1.3. Research Methodology Explained
  • 1.4. Key Findings

2.0. Introduction to AI + AR

  • 2.1. Defining Artificial Intelligence
  • 2.2. Defining Augmented Reality
  • 2.3. Key Convergence Enablers : AI+AR

3.0. Factors Influencing the Adoption of AI+AR

  • 3.1. Future Trends Driving the Adoption of AI+AR
  • 3.2. Factors Hindering AR + AI Adoption
  • 3.3. Limited Availability of AR Content and Lack of Standardization are the Major Factors Hindering Adoption

4.0. Key Target Industries

  • 4.1. Improving GPS Navigation and Enhancing in-store Customer Experience are the Major Applications in Automotive and Retail Respectively
  • 4.2. AI+AR is Adding Value by Attracting New Tourists and Operating Complex Surgeries in Tourism and Healthcare Respectively

5.0. Use Cases within AI+AR

  • 5.1. Identification of Convergence Use Cases within AI+AR
  • 5.1. Identification of Convergence Use Cases within AI+AR (continued)
  • 5.1. Identification of Convergence Use Cases within AI+AR (continued)
  • 5.2. Google Lens' AR and AI Features Enables Users to Scan the Environment in Real-Time
  • 5.3. Wrnch Uses a Combination of Deep Learning and Computer Vision to Analyze Human Body Language
  • 5.4. Google Integrated AR and AI Capabilities in Microscope to Improve Accuracy in Diagnostics
  • 5.5. IBM & DAQRI are Leveraging AR for Real Time Visual Guidance for Factory Workers
  • 5.6. TechSee Developed an AR-based Visual Platform, Enabling Service Providers to Interact with Customers Virtually
  • 5.7. Lenovo Glass C220 leverages AI and AR to Enhance Workers Ability on the Shop floor
  • 5.8. NVIDIA's platform will Transform the Driving Experience by Providing Interactive in-Car Displays
  • 5.9. IBM Watson Unity SDK helps Developers to Build New Services and Integrate into Client Applications Faster than Ever Before
  • 5.10. Facebook is Using AR to Create Virtual Worlds Accessible to Social Networks
  • 5.11. Blippar and Cognizant are Using AR and AI to Create Various Use Cases Across Healthcare and Education Sectors
  • 5.12. Octi Developed an AR System that uses Deep Learning to Analyze the Human Body Movements

6.0. Companies to Watch: List of Companies Offering AI+AR Solutions

  • 6.1. Partner Identification
  • 6.1. Partner Identification (continued)
  • 6.1. Partner Identification (continued)

7.0. Company Profiling

  • 7.1. Profile of Companies within AI + AR
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.1. Profile of Companies within AI + AR (continued)
  • 7.2. Framework to Identify Companies for Potential Partnership

8.0. Patent Assessment

  • 8.1. The US Leads in IP Filings with Object Tracking and Improved Customer Experience as the Key Focus Areas
  • 8.2. Google in AI - Relevant Patents
  • 8.3. Google in AR - Relevant Patents

9.0. Analyst Recommendations

  • 9.1. Analyst Insights and Recommendations

10.0. Industry Contacts

  • 10.1. Key Contacts
  • Legal Disclaimer
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