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AIとARのコンバージェンス:ビジネスアプリケーションの将来を転換

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

発行 Frost & Sullivan 商品コード 883648
出版日 ページ情報 英文 60 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=109.52円で換算しております。
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AIとARのコンバージェンス:ビジネスアプリケーションの将来を転換 Convergence of AI and AR: Transforming the Future of Business Applications
出版日: 2019年06月28日 ページ情報: 英文 60 Pages
概要

当レポートでは、ビジネスアプリケーションを転換する人工知能 (AI) と拡張現実 (AR) のコンバージェンスについて調査し、AI + ARコンバージェンスの概要、主な標的産業、AI + ARの利用例、AI + ARを提供する企業、知的財産 (IP) 、およびアナリストの提言などについて分析しています。

第1章 エグゼクティブサマリー

第2章 AI + AR:イントロダクション

  • 人工知能 (AI) の定義
  • 拡張現実 (AR) の定義
  • 主なコンバージェンスのイネーブラー:AI + AR

第3章 AI + ARの導入に影響を及ぼす要因

  • AI + ARの導入を促進する将来の動向
  • AI + ARの導入を妨げる要因
  • ARコンテンツの限られたアベイラビリティおよび規格の欠如は導入を妨げる主な要因

第4章 主な標的産業

  • GPSナビゲーションの改善および店舗内顧客経験の京かは、自動車・小売りそれぞれにおける主要なアプリケーション
  • AI + ARは、ツーリズムにおける新規観光客の呼び込み、ヘルスケアにおける複雑な手術にそれぞれ付加価値をもたらす

第5章 AI + ARの利用例

第6章 注目企業:AI + ARソリューションを提供する企業のリスト

第7章 企業プロファイル

第8章 特許評価

第9章 アナリストの提言

第10章 連絡先

目次
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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