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市場調查報告書

手勢,運動 & 觸覺介面:未來的利用案例,出貨量及收益預測 2016-2021年

Gesture, Motion & Haptics: Future Use Cases, Shipments & Revenue Forecasts 2016-2021

出版商 Juniper Research 商品編碼 381470
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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手勢,運動 & 觸覺介面:未來的利用案例,出貨量及收益預測 2016-2021年 Gesture, Motion & Haptics: Future Use Cases, Shipments & Revenue Forecasts 2016-2021
出版日期: 2016年10月31日 內容資訊: 英文
簡介

本報告提供現在及今後,支撐電腦設備的手勢型控制的各種技術的機會,方法及用途的相關調查,主要介面專利相關討論,經營模式,及產業預測等的分析。

第1章 未來的趨勢:手勢控制 & 觸覺介面 (觸覺學)

  • 簡介
  • 定義
  • 手勢 & 觸覺技術的要素
    • 週邊設備
    • 相機感測器
    • IR (紅外線) 感測器
    • 動作感測器
    • 超音波
    • 顯示器
  • 手勢操作介面 & 觸覺介面的利用案例
    • 計算機控制
    • 智慧家庭設備控制
    • 虛擬 & 擴增實境的互動
  • 手勢操作介面專利
    • Amazon
    • Apple
    • BlackBerry
    • Google
    • Intel
    • Intellectual Ventures
    • Liquid3D Solutions
    • Samsung
    • SONY
    • Visteon GIobal Tech Inc.
    • Juniper的見解

第2章 手勢 & 觸覺介面市場動態

  • 手勢操作介面部門動態
    • 市場成長的促進要素
    • 市場阻礙成長要素
    • 市場趨勢
  • 手勢 & 觸覺介面的價值鏈 & 經營模式
    • 生態系統供應商 & 相關利益者
    • 手勢 & 觸覺介面的經營模式

第3章 手勢 & 觸覺介面的預測手法 & 摘要預測

  • 簡介
  • 預測手法
    • 預測階段
  • 摘要預測
    • 引進率
    • 硬體設備裝機量預測
    • 出貨預測
    • 收益預測

第4章 手勢 & 觸覺介面硬體設備預測

  • 單位的預測
    • 接近感測器
    • 相機為基礎的感測器
    • 觸覺馬達
    • 手勢控制飾品
  • 硬體設備收益的預測
    • 接近感測器零組件收益
    • 相機感測器零組件收益
    • 觸覺馬達零組件收益

第5章 手勢 & 觸覺介面軟體預測

  • 存取預測
    • 智慧行動OS為基礎的手勢控制
    • 智慧行動手勢控制應用
    • PC為基礎的手勢控制軟體
  • 軟體收益的預測
目錄

Overview

Juniper's cutting-edge Gesture, Motion & Haptics interface research explores the opportunities, methods and uses for the various technologies underpinning gesture-based control of computing devices, both in the current market and the coming years.

The research discusses the technology's development and implications across a range of platforms:

  • Smartphones
  • Tablets
  • PCs
  • Consoles
  • VR headsets and user accessories
  • Wearables

This research suite includes:

  • Market Trends & Opportunities (PDF)
  • 5 Year Market Sizing & Forecast Spreadsheet (Excel).

Key Features

  • Trend & Technology Appraisal: Outline of the current state of these technologies, key use cases, and the trends shaping their development, including a discussion of key interface patents.
  • Business Models: Discussion of the various monetisation strategies possible in this space, and what they mean for the future development of the technologies.
  • Benchmark Industry Forecasts: For the size and growth of devices with the technology, the enabling components and attendant software.
  • Invaluable insights from interviews with leading players:
    • Leap Motion
    • Atheer Labs
    • Oblong Industries

Key Questions

  • 1. What are the key technologies behind motion and gesture control, and how are they being used?
  • 2. What are the business models that are possible for players in this space?
  • 3. What are the key trends that will shape gesture and motion interfaces in the coming years?
  • 4. Which devices will most use gesture and motion control?
  • 5. What does the future of computing look like with the combination of haptics, gesture and motion that is emerging?

Companies Referenced

AirPointr, Amazon, Apple, Atheer Labs, Baofeng, BlackBerry, Crunchfish, Dextra Robotics, Elliptic Labs, eyesight, FIBARO, Gest, Google, HP, HTC, INTank Corp, Intel, Intellectual Venture Holdings 81 LLC, Leap Motion, Liquid3D Solutions, Manus VR, Microsoft, Neyya, Nimble VR, Nintendo, Oblong Industries, Oculus, Omnivision, OSVR, Pebbles, Precision Microdrives, Samsung, Sega, Singlecue, Sony, Thalmic Labs, Visteon Global Tech Inc.

Data & Interactive Forecast

The new Gesture, Motion & Haptics forecast suite includes:

  • Market data splits for 8 key regions, and 7 countries including:
    • Canada
    • China
    • Germany
    • Japan
    • South Korea
    • UK
    • US
  • Market data splits for 6 key hardware verticals:
    • Smartphones
    • Tablets
    • PCs
    • Consoles
    • VR Headsets
    • Wearables
  • Market data splits for 3 key content segments:
    • OS-based gesture apps
    • Gesture apps
    • PC gesture software
  • Access to the full set of forecast data of 125 tables and over 11,800 data points.
  • All verticals include forecasts for consumer adoption rates and installed base.
  • Component shipments are given for all verticals, across IR motion sensors, camera sensors and haptic motors.
  • Software revenue for both pay-per-download and in-app purchases are provided.

Juniper Research's highly granular interactive Excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.

Table of Contents

1. The Wave of the Future: Gesture Control & Hap

  • 1.1. Introduction
    • 1.1.1. Research Scope
  • 1.2. Definitions
    • 1.2.1. Human-Machine Interface
    • 1.2.2. Gesture Control
    • 1.2.3. Haptics
  • 1.3. Elements of Gesture & Haptic Technologies
    • 1.3.1. Peripherals
      • i. Gesture & Motion Control Peripherals
        • Figure 1.1: Oculus Touch Controllers
      • ii. Haptic Peripherals
        • Figure 1.2: Dextra Robotics Dexmo VR Exoskeleton Hand
    • 1.3.2. Camera Sensors
      • Figure 1.3: Air Gesture App Downloads
    • 1.3.3. IR (Infrared) Sensors
      • Figure 1.4: Mobile Devices Launched with IR Blaster Capability
    • 1.3.4. Motion Sensors
      • Figure 1.5: Proportion of Smartphones Launched with Accelerometer, Magnetometer, Gyroscope Combination (%)
    • 1.3.5. Ultrasound
    • 1.3.6. Display
  • 1.4. Gesture Interface & Haptics Use Cases
    • 1.4.1. Computer Control
      • Figure 1.6: Gesture Interface in Minority Report
      • i. Case Study: Mezzanine by Oblong Industries
        • Figure 1.7: Mezzanine by Oblong Industries
        • Figure 1.8: John Matheny & a Myo-controlled Prosthetic Arm
      • ii. Case Study: Google Project Soli
    • 1.4.2. Smart Home Device Control
      • i. Case Study: Singlecue
        • Figure 1.9: Singlecue Gesture Control Unit
    • 1.4.3. Virtual & Augmented Reality Interaction
      • i. Case Study: Orion by Leap Motion
        • Figure 1.10: Orion by Leap Motion
  • 1.5. Gesture Interface Patents
    • 1.5.1. Amazon
      • Figure 1.1.11: Amazon Light-based 3D Tracking Method
    • 1.5.2. Apple
      • Figure 1.12: Relation Between Tendons & Light Sources in Watch Gesture Inputs
      • Figure 1.13: Apple Multi-Touch Surface Input Method
      • Figure 1.14: Apple Multi-Touch Surface Sensor Layouts
      • Figure 1.15: Touch Sensor Identification Components
    • 1.5.3. BlackBerry
      • Figure 1.16: Example Configuration of Ambient Light Sensors for Touchless Gesture Password Detection
    • 1.5.4. Google
      • Figure 1.17: Google Radar-based Sensing & Data Transmission Patent Wearable Applications
    • 1.5.5. Intel
      • Figure 1.18: Planar Assignment in Intel's Depth-based Gesture Control
  • 5.6. Intellectual Venture Holdings 81 LLC
    • Figure 1.19: 3D Sensing & Gesture Control Module Patent
    • 1.5.7. Liquid3D Solutions
      • Figure 1.20: Co-ordinate Schematics for a 3D Image Gesture Control System
    • 1.5.8. Samsung
      • Figure 1.21: Samsung Smartphone Sensor Adaptation for HMD
    • 1.5.9. Sony
      • Figure 1.22: GIove FIex Control Layout
    • 1.5.10. Visteon GIobal Tech Inc.
      • Figure 1.23: Automotive Gesture Control Set-up
    • 1.5.11. Juniper's View

2. Gesture & Haptics Market Dynamics

  • 2.1. Gesture Intertace Sector Dynamics
    • Figure 2.1: Gesture Interface Sector Dynamics
    • 2.1.1. Market Drivers
      • Figure 2.2: VR Market, Proportion of Devices in Use by Platform (%) 2016-2021
    • 2.1.2. Market Constraints
    • 2.1.3. Market Trends
  • 2.2. Gesture & Haptics Value Chain & Business Models
    • 2.2.1. Ecosystem Members & Stakeholders
      • Figure 2.3: Gesture interface Market Ecosystem
      • Figure 2.4: Juniper Roadmap for Gesture Interface & Haptic Feedback
    • 2.2.2. Gesture & Haptics Business Models

3. Gesture & Haptics Forecast Methodology & Summary Forecasts

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Forecast Steps
      • i. Hardware
      • ii. Software
        • Figure 3.1: Gesture & Haptics Hardware Forecast Methodology
  • 3.3. Summary Forecasts
    • 3.3.1. Adoption Rates
      • Figure & Table 3.2: Gesture Control Devices in use (m) Split by Category, 2016-2021
    • 3.3.2. Hardware Installed Base Forecasts
      • i. Gesture & Haptic Computing Devices
        • Figure & Table 3.3: Number of Devices with Gesture & Haptic Component Installed Base per annum (m), 2016-2021
      • ii. Gesture & Haptic Accessories
        • Figure & Table 3.4: Number of Gesture Control Accessories, Installed Base per annum by Category (m), 2016-2021
    • 3.3.3. Shipments Forecasts
      • i. Gesture & Haptic Device Components
        • Figure & Table 3.5: Number of Gesture & Haptic Components, Components Shipped per annum by Category (m), 2016-2021
      • ii. Gesture Control Accessories
        • Figure & Table 3.6: Number of Gesture Control Accessories, Installed Base per annum by Category (m) 2016-2021
    • 3.3.4. Revenues Forecasts
      • i. Gesture & Haptic Device Components Revenues
        • Figure & Table 3.7: Smart Mobile Device Gesture & Haptic Hardware Component Revenues by Category ($m), 2016-2021
      • ii. Gesture Control Accessory Revenues
        • Figure & Table 3.8: Gesture Control Accessories Revenue ($m) by category

4. Gesture & Haptic Interfaces Hardware Forecasts

  • 4.1. Unit Forecasts
    • 4.1.1. Proximity Sensors
      • i. Device Installed Base
        • Figure & Table 4.1: Number of Smart Mobile Devices with Proximity Sensors, Installed Base per annum (m)Split by 8 Key Regions, 2016-2021
      • ii. Component Shipments
        • Figure & Table 4.2: Number of Smart Mobile Device Proximity Sensors, Shipments per annum (m) Split by 8 Key Regions, 2016-2021
    • 4.1.2. Camera-based Sensors
      • i. Device Installed Base
        • Figure & Table 4.3: Number of Smart Mobile Devices with Camera Sensors, Installed Base per annum (m)Split by 8 Key Regions, 2016-2021
      • ii. Component Shipments
        • Figure & Table 4.4: Number of Smart Mobile Device Camera Sensors, Shipments per annum (m)Split by 8 Key Regions, 2016-2021
    • 4.1.3. Haptic Motors
      • i. Device Installed Base
        • Figure & Table 4.5: Number of Smart Mobile Devices with Haptic Motors Installed Base per annum (m), Split by 8 Key Regions, 2016-2021
      • ii. Component Shipments
        • Figure & Table 4.6: Number of Smart Mobile Device Haptic Sensors, Shipments per annum (m) Split by 8 Key Regions, 2016-2021
    • 4.1.4. Gesture Control Accessories
      • i. Accessories Installed Base
        • Figure & Table 4.7: Gesture Control Accessories Installed Base per annum(m), Split by 8 Key Regions, 2016-2021
  • 4.2. Hardware Revenue Forecasts
    • i. Proximity Sensors Component Revenue
      • Figure & Table 4.8: Smart Mobile Device Proximity Sensors Component Revenues ($m) Split by 8 Key Regions, 2016-2021
    • ii. Camera Sensors Component Revenue
      • Figure & Table 4.9: Smart Mobile Device Camera Sensors Component Revenues ($m)Split by 8 Key Regions, 2016-2021
    • iii. Haptic Motors Component Revenue
      • Figure 4.10: Smart Mobile Device Haptic Component Revenues ($m) Split by 8 Key Regions, 2016-2021

5. Gesture & Haptic Interfaces Software Forecasts

  • 5.1. Access Forecasts
    • Figure & Table 5.1: Smart Mobile OS-based Gesture Control, Installed Base per annum (m)Split by 8 Key Regions, 2016-2021
    • 5.1.1. Smart Mobile OS-based Gesture Control
    • 5.1.2. Smart Mobile Gesture Control Apps
      • Figure & Table 5.2: Smart Mobile Gesture Control Apps Accessed per annum (m) Split by 8 Key Regions, 2016-2021
    • 5.1.3. PC-based Gesture Control Software
      • Figure & Table 5.3: PC 0S-based Gesture Control, Installed Base per annum (m) Split by 8 Key Regions, 2016-2021
  • 5.2. Software Revenue Forecasts
    • Figure & Table 5.4: Total Revenue from Smart Mobile Device Gesture Control Apps per annum ($m) Split by 8 Key Regions, 2016-2021
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