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市场调查报告书

转换AI和AR的汇流:商业应用的未来

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

出版商 Frost & Sullivan 商品编码 883648
出版日期 内容资讯 英文 60 Pages
商品交期: 最快1-2个工作天内
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转换AI和AR的汇流:商业应用的未来 Convergence of AI and AR: Transforming the Future of Business Applications
出版日期: 2019年06月28日内容资讯: 英文 60 Pages
简介

本报告提供转换商业应用的人工智能 (AI) 的扩增实境 (AR)的汇流相关调查,AI + AR汇流概要,主要标的产业,AI + AR的利用案例,提供AI + AR的企业,智慧财产权 (IP) 、及分析师的建议等相关分析。

第1章 摘要整理

第2章 AI + AR:简介

  • 人工智能 (AI)的定义
  • 扩增实境 (AR)的定义
  • 主要的汇流的启用:AI + AR

第3章 影响AI + AR引进的要素

  • 促进AI + AR引进的未来趋势
  • 妨碍AI + AR引进的要素
  • AR内容有限的可用性及规格的缺乏是妨碍引进的主要原因

第4章 主要标的产业

  • GPS导航的改善及增强商店内客户经验,是汽车、零售主要应用
  • AI + AR,为旅游业吸引新觀光客,带给医疗保健复杂手术各种附加价值

第5章 AI + AR的利用案例

第6章 关注企业:提供AI + AR解决方案的企业的清单

第7章 企业简介

第8章 专利评估

第9章 分析师的建议

第10章 联络处

目录
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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