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市場調查報告書

位置感知環境智能全球市場

Location-based Ambient Intelligence

出版商 ABI Research 商品編碼 325145
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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位置感知環境智能全球市場 Location-based Ambient Intelligence
出版日期: 2015年02月23日 內容資訊: 英文 19 Pages
簡介

本報告針對「物聯網(IoT)」與巨型資料、聯網家庭、可戴式感應器、智慧手機等融合多項目前主流新技術的新興分類之一的環境智能、提供定位訊息服務、語音辨識、影像認識、擴充實境、機械學習、人工智能(AI)、感測器融合、數據解析等複合進化、今後5年當地檢索、社群網路、零售、廣告、健康管理等應用分類預計將有極大進步,除了分析其角色之外同時也提供市場變化與主要企業和各產業態度、需求技術、設備、應用分析情報。

第1章 介紹

  • 介紹
  • 環境智能

第2章 組成環境智能的3階段

  • 第1階段:感知(瞭解使用者的環境)
    • 巨型資料、物聯網與環境智能:相異
  • 感知位置特定技術
    • 混合化
    • BLE(Bluetooth Low Energy)非唯一對策
  • 第2階段:推論(認識背景、對於進行中狀況的推理能力)
    • 使用者模式化
    • 行動的預測與認識
    • 決策
  • 推算位置特定技術
    • 室內:物聯網與 「萬物網(IoE:Internet of Everything)」
    • 屋外與社群:LTE聯結
  • 第3段階:行動(依靠狀況、適當反應能力)
    • 倉儲化數據
    • 消費者的資訊販售權

第3章 競爭環境

  • 環境智能關係者
  • Apple
  • IBM
  • MetaMind
  • Clarifai
  • Baidu
  • Microsoft
  • Facebook
  • Google

第4章 市場預測

  • 智慧手機
    • 使用者介面:語言、臉孔、動作的認識
    • 感應器與鏡頭:擴充實境、室內位置鎖定、獲得群眾資料
    • 個人補助設備
    • 擴充實境
    • 社群
  • 可戴式
    • 可戴式設備預測
    • 自我評量(Quantified Self)與身體管理應用預測
  • 行動健康管理(mHealth)、家中觀測
    • 健康管理、家中觀測設備預測
    • 智慧手機應用預測
  • 智慧家庭
    • 智慧家庭設備預測
目錄
Product Code: AN-1721

This analysis aims to cover the emerging area of ambient intelligence, a much-used term that will look to bring together many of today's major technology innovations, such as Internet of Things (IoT), big data, connected home, wearable sensors, and smartphones. It combines advances in always-on location, voice and image recognition, augmented reality, machine learning, artificial intelligence (AI), sensor fusion, and data analytics. The result over the next 5 years will be major advances in applications such as local search, social networking, retail, advertising, and health / fitness.

This analysis considers the role that always-on, ubiquitous location will have in enabling these major changes, where the basic concept of ambient intelligence is defined, along with the current and future location technologies that will be facilitators. The analysis also looks at how major companies are now aligning their resources to meet this future market, outlining potential advantages, gaps, acquisition targets, and partnerships. Finally, it looks at the key verticals that will drive the initial adoption of ambient intelligence, with forecasts for the technologies, devices, and applications required for location-based ambient intelligence in each market.

Table of Contents

1. INTRODUCTION

  • 1.1. Introduction
  • 1.2. What Is Ambient Intelligence?

2. THE THREE STAGES OF AMBIENT INTELLIGENCE

  • 2.1. Stage 1: Sensing (Perceiving the User and the World He or She Inhabits)
    • 2.1.1. Big Data, IoT, and Ambient Intelligence: What's the Difference?
  • 2.2. Location Technology in Sensing
    • 2.2.1. Hybridization
    • 2.2.2. BLE Is Not the Only Answer
  • 2.3. Stage 2: Reasoning (Context Awareness, or the Ability to Reason about Ongoing Situatio
    • 2.3.1. User Modeling
    • 2.3.2. Activity Prediction and Recognition
    • 2.3.3. Decision Making
  • 2.4. Location Technologies in Reasoning
    • 2.4.1. Indoor: IoT / IoE Location Technologies
    • 2.4.2. Outdoor and Social: LTE-Direct
  • 2.5. Stage Three: Acting (Context Sensitive, or the Ability to Behave Appropriately)
    • 2.5.1. Siloed Data
    • 2.5.2. Empowering Consumers to Sell Their Data

3. COMPETITIVE ENVIRONMENT

  • 3.1. What Is Needed to Be a Stakeholder in Ambient Intelligence?
  • 3.2. Apple
  • 3.3. IBM
  • 3.4. MetaMind
  • 3.5. Clarifai
  • 3.6. Baidu
  • 3.7. Microsoft
  • 3.8. Facebook
  • 3.9. Google

4. MARKET FORECASTS

  • 4.1. Smartphones
    • 4.1.1. UI: Speech, Facial, and Gesture Recognition
    • 4.1.2. Sensors and Cameras: Augmented Reality, Indoor Location, and Crowdsourced Data
    • 4.1.3. Personal Assistant
    • 4.1.4. Augmented Reality
    • 4.1.5. Social
  • 4.2. Wearables
    • 4.2.1. Wearable Device Forecasts
    • 4.2.2. Quantified Self / Fitness Application Forecasts
  • 4.3. mHealth / Home Monitoring
    • 4.3.1. Health / Home Monitoring Device Forecasts
    • 4.3.2. Smartphone Application Forecasts
  • 4.4. Smart Home
    • 4.4.1. Smart Home Device Forecasts

Tables

  • 1. Smartphone Technology / Feature Attach Rate, World Market, Forecast: 2013 to 2019
  • 2. Ambient Intelligence Smartphone Applications, World Market, Forecast: 2013 to 2020
  • 3. Connected Fitness, Wellness and Wearable Device Shipments by Type, World Market, Forecast: 2013 to 2019
  • 4. Connected Wearable mHealth Device Shipments by Application, World Market, Forecast: 2013 to 2019
  • 5. Connected Smart Home Device Shipments by Product Type, World Market, Forecast: 2013 to 2019
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