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市場調查報告書

進階分析:市場區隔機會

Advanced Analytics: Disruptive Opportunities

出版商 Frost & Sullivan 商品編碼 572943
出版日期 內容資訊 英文 66 Pages
商品交期: 最快1-2個工作天內
價格
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進階分析:市場區隔機會 Advanced Analytics: Disruptive Opportunities
出版日期: 2017年09月27日 內容資訊: 英文 66 Pages
簡介

結構化及非結構化資料達成了前所未有的成長,同時運算也變得性能更佳且便宜快速,這推動了進階分析的開發。透過驅動感測器即時解析消費者行為,IoT正在促進分析市場的發展。此外,企業需要活用深度分析才能在競爭中搶得先機。。

本報告包含各種類型的分析案例及未來發展的預測。

第1章 執行摘要

  • 研究範圍

第2章 主要調查結果和分析者意見

  • 透過強力考察使進階分析成為可用競爭力
  • 進階分析創造新的價值鏈
  • 對人類情感有所反應的機器
  • 能移動到資料分散場所的分析

第3章 概述

  • 資料分析概述
  • 進階分析的演進
  • 進階分析的價值鏈
  • 進階分析的活躍要素
  • 進階分析的抑制要素

第4章 分析工具類型

  • 圖像分析可即時考察預測行為
  • 能對應圖像分析的企業
  • 醫學圖像分析
  • 圖像分析使行銷人員可以推算「分享願景」
  • 可以分析社群媒體的圖像分析
  • 圖像分析使精密農業成為可能
  • 從非結構化資料中找出價值的文本分析
  • 以文本分析探究隱含意義
  • 醫療中的文本分析
  • 客戶服務中的文本分析
  • 保險業的文本分析
  • 影像分析
  • 能對應影像分析的企業
  • 媒體中的影像分析支援計算最多觀看次數
  • 監控中的影像分析
  • 零售業中的影像分析使投資報酬率最大化
  • 媒體中的影像分析
  • 汽車的影像分析
  • 音訊、語音分析
  • 語音分析的對應企業
  • 居家保全的語音辨識
  • 客戶服務的語音分析
  • 語音分析
  • 情緒分析
  • 能對應情緒分析的企業
  • 媒體與廣告中的情緒分析
  • 遊戲、教育中的情緒分析
  • 汽車和機器人的情緒分析
  • 醫療中的情緒分析

第5章 專利分析與技術路線圖

  • 專利在分析領域擴展
  • 世界前3大專利受託人:IBM、Google、Microsoft
  • 進階分析未來的發展潛力

第6章 新的商業模式

  • 內容市場分析
  • 分析與資料的群眾外包的民主化

第7章 整合方案

  • 整合進階分析、大數據和3D列印使設計高階個人產品成為可能
  • 進階分析、穿戴式裝置、5G網路使即時的高階量化生活成為可能

第8章 主要連絡方式

第9章 附錄

目錄
Product Code: D7DA

Technologies Enabling Digital Transformation Through New Value Streams

The availability of ever increasing amounts of structured and unstructured data, along with higher, cheaper and faster computing power, have been key drivers for the development of advanced analytics. The Internet of Things has served to boost the development of the streaming analytics market, through sensor-driven, real-time insights into consumer behavior. Most importantly, organizations need to take advantage of insights from in-depth analytics to gain a competitive advantage and stay ahead of the curve.

This report answers the following questions:

  • Which are the analytics technologies that are being adopted?
  • What are the major application areas for these technologies?
  • What are some industries impacted?
  • What are some use-cases of successful implementation?
  • What are some innovative business models being driven by advanced analytics?
  • What is the patent scenario globally?
  • What are some game-changing convergence scenarios of advanced analytics with other disruptive technologies?
  • What are the key findings of the analysis and analyst POV of the future?

Although a lot of analytics applications in the real world delve into more than one type of analytics technologies in the form of streaming analytics, this report has been segmented into the following main analytics technologies:

  • Image Analytics
  • Text Analytics
  • Video Analytics
  • Audio & Speech Analytics
  • Emotion Analytics

Table of Contents

1.0 Executive Summary

  • 1.1 Research Scope

2.0 Key Findings and Analyst POV

  • 2.1 Advanced Analytics Enable a Competitive Edge Through Powerful Insights
  • 2.2 Advanced Analytics Helps Create New Value Streams
  • 2.3 Machines Will be Reactive to Human Emotions
  • 2.4 Analytics are Moving to Less Data Intensive Spaces

3.0 Overview of the Topic

  • 3.1 Overview of Data Analytics
  • 3.2 The Evolution of Advanced Analytics
  • 3.3 Advanced Analytics Technology Value Chain
  • 3.4 Advanced Analytics Drivers Explained
  • 3.5 Advanced Analytics Challenges Explained

4.0 Types of Analytics Tools

  • 4.1 Image Analytics Enable Real-time Actionable Insights
  • 4.2 Which Companies are Enabling Image Analytics?
  • 4.3 Image Analytics in Healthcare - Use Case
  • 4.4 Image Analytics Helps Marketers Measure "Share of Eye"
  • 4.5 Image Analytics Enables Social Media Analytics - Use Case
  • 4.6 Image Analytics Enables Precision Agriculture - Use Case
  • 4.7 Text Analytics Enables Valuable Insights from Unstructured Data
  • 4.8 Unlocking Hidden Insights with Text Analytics
  • 4.9 Text Analytics in Healthcare - Use Case
  • 4.10 Text Analytics in Customer Care - Use Case
  • 4.11 Analytics in the Insurance Industry
  • 4.12 Video Analytics
  • 4.13 Which Companies are Enabling Video Analytics?
  • 4.14 Video Analytics in Media Helps Measure Highest Views
  • 4.15 Video Analytics in Surveillance Accelerates Insights
  • 4.16 Video Analytics in Retail Maximizes ROI
  • 4.17 Video Analytics in Media - Use Case
  • 4.18 Video Analytics in Automotive - Use Case
  • 4.19 Audio and Speech Analytics
  • 4.20 Which Companies are Enabling Audio Analytics?
  • 4.21 Audio Analytics in Home Security - Use Case
  • 4.22 Speech Analytics in Customer Service - Use Case
  • 4.23 Speech Analytics - Use Case
  • 4.24 Emotion Analytics
  • 4.25 Which Companies are Enabling Emotion Analytics?
  • 4.26 Emotion Analytics in Media and Advertising
  • 4.27 Emotion Analytics in Gaming and Education
  • 4.28 Emotion Analytics in Automotive and Robotics
  • 4.29 Emotion Analytics in Healthcare
  • 4.30 Emotion Analytics in Media and Advertising - Use Case

5.0 Patent Analysis and Technology Roadmap

  • 5.1 Patent Filings Increase in the Analytics Space
  • 5.2 IBM, Google, and Microsoft Are Top Patent Assignees Globally
  • 5.3 Future Innovation Potentials for Advanced Analytics

6.0 Emerging Business Models

  • 6.1 Content Marketplaces for Analytics
  • 6.2 Democratization of analytics and Crowdsourcing of Data

7.0 Convergence Scenarios

  • 7.1 Convergence of Advanced Analytics, Big Data, and 3D Printing Will Enable Hyper-personalization in Product Design
  • 7.2 Convergence of Advanced Analytics, Wearables, and 5G Will Enable Real-time Hyper-connected Quantified Self

8.0 Key Contacts

  • 8.1 Key Contacts
  • 8.1 Key Contacts (continued)

9.0 Appendix

  • 9.1 Advanced Analytics - Other Use Cases
  • 9.1 Advanced Analytics - Other Use Cases (continued)
  • Legal Disclaimer
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