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市場調查報告書

新用途的手勢姿態辨識的全球市場:2016-2020年

Global Gesture Recognition Market for Emerging Applications 2016-2020

出版商 TechNavio (Infiniti Research Ltd.) 商品編碼 364911
出版日期 內容資訊 英文 60 Pages
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新用途的手勢姿態辨識的全球市場:2016-2020年 Global Gesture Recognition Market for Emerging Applications 2016-2020
出版日期: 2016年07月18日 內容資訊: 英文 60 Pages
簡介

由於人機互動人和機器間的間隙縮小,開發了更自然直觀的機器操作。經過技術發展的漫長道路,現在機器不用專用遙控開關,可透過智慧型手機以遠距離操縱。還有今後,還可以自然的手勢進行此事。驅使電腦演算法,解釋人的手和手指、手臂、頭或身體整體動作的手勢控制技術,是增加許多自然度的設備控制形式。該新用途的全球市場預計今後到2020年的期間以52.46%的年複合成長率擴大。

本報告以新用途的手勢姿態辨識的全球市場為焦點,提供2016-2020年期間的交易規模的變化的各技術,用途及地區(北中南美,亞太地區,歐洲、中東、非洲)的分析、預測,今後發展的推動要素和課題,預測,主要加入企業等的最新資訊。

第1章 摘要整理

  • 焦點

第2章 報告的範圍

  • 基本年
  • 定義
  • 市場範圍
  • 市場規模的估計
  • 地區市場區隔
  • 供給企業市場區隔
  • 換算匯率

第3章 市場調查方法

  • 取材方式
  • 經濟指標

第4章 簡介

  • 主要市場焦點
  • 運行原理
  • 發展史

第5章 重要數值摘要

  • 重要數值摘要

第6章 手勢姿態辨識技術的引進費用

第7章 市場環境

  • 市場概要
  • 市場規模與預測
  • 市場分析

第8章 波特的五力分析

  • 遊戲主機用手勢姿態辨識全球市場的波特的五力分析
  • 智慧型電視用手勢姿態辨識全球市場的波特的五力分析
  • 汽車用手勢姿態辨識全球市場的波特的五力分析

第9章 市場區隔 - 各技術

第10章 市場區隔 - 各用途

第11章 地區市場區隔

  • 家用電子設備用手勢姿態辨識的全球市場
  • 汽車用手勢姿態辨識的全球市場

第12章 市場推動要素

  • 汽車部門的人機介面重視
  • 具手勢姿態辨識功能的設備的可用性
  • 3D相機的開發
  • 運動控制遊戲的普及

第13章 推動要素的影響度

第14章 市場課題

  • 缺少支援手勢姿態辨識的遊戲
  • 手勢行動規格化的延遲
  • 手勢姿態辨識技術的低附加價值性
  • 依賴戶外的光線條件
  • 手勢姿態辨識造成的用戶疲勞
  • 手勢姿態辨識搭載設備的有限工作領域

第15章 推動要素及課題的影響度

第16章 市場趨勢

  • M&A數量的增加
  • 多功能遊戲主機的登場
  • 自家公司開發的手勢姿態辨識技術
  • 無電力手勢姿態辨識
  • 處理器製造商引進手勢姿態辨識

第17章 供給企業環境

  • 競爭情形

第18章 主要供給企業分析

  • Microsoft
  • Sony
  • eyeSight Technologies
  • PointGrab
  • Samsung

第19章 附錄

  • 簡稱一覽

第20章 關於Technavio

目錄
Product Code: IRTNTR9132

About Gesture Recognition Technology

Human-machine interaction has reduced the gap between the two and developed a more natural and intuitive interaction. Humans have come a long way from controlling machines through switches fitted on them to remote controls, and currently, through smartphones. In the future, it will be through natural gestures. Gesture control is by far the most natural form of controlling a device.

Gesture recognition technology interprets human motions using computer algorithms. Human motions can be movements of hands, fingers, arms, head, or the entire body. Gestures are used as an input mechanism, aimed at replacing old-fashioned input mechanisms such as keyboards, mouse devices, remote controls, and various other forms of control devices.

Technavio's analysts forecast the global gesture recognition market for emerging applications to grow at a CAGR of 52.46% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global gesture recognition market for emerging applications for 2016-2020. To calculate the market size, Technavio considers the unit shipment of gesture recognition products in the following application segments: automotive and consumer electronic devices.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • EMEA

Technavio's report, Global Gesture Recognition Market for Emerging Applications 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors

  • Microsoft
  • Sony
  • eyeSight Technologies
  • PointGrab
  • Samsung

Market driver

  • Focus on human-machine interface in automotive sector
  • For a full, detailed list, view our report

Market challenge

  • Lack of gesture-recognition-compatible games
  • For a full, detailed list, view our report

Market trend

  • Increase in number of M&A
  • For a full, detailed list, view our report

Key questions answered in this report

  • What will the market size be in 2020 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?

You can request one free hour of our analyst's time when you purchase this market report. Details are provided within the report.

Table of Contents

PART 01: Executive summary

  • Highlights

PART 02: Scope of the report

  • Base year
  • Definitions
  • Market coverage
  • Market size calculation
  • Geographical segmentation
  • Vendor segmentation
  • Common currency conversion rates

PART 03: Market research methodology

  • Research methodology
  • Economic indicators

PART 04: Introduction

  • Key market highlights
  • How does it work?
  • History

PART 05: Summary of key figures

  • Summary of key figures

PART 06: Cost of incorporating gesture recognition technology

PART 07: Market landscape

  • Market overview
  • Market size and forecast
  • Market analysis

PART 08: Five forces analysis

  • Five forces analysis for global gesture recognition market for gaming consoles
  • Five forces analysis for global gesture recognition market for smart TVs
  • Five forces analysis for global gesture recognition market for automotive

PART 09: Market segmentation by technology

PART 10: Market segmentation by application

PART 11: Geographical segmentation

  • Global gesture recognition market in consumer electronics
  • Global gesture recognition market in automotive

PART 12: Market drivers

  • Focus on human-machine interface in automotive sector
  • User-friendliness of gesture recognition-enabled devices
  • Development of 3D cameras
  • Increased adoption of motion-control gaming

PART 13: Impact of drivers

PART 14: Market challenges

  • Lack of gesture-recognition-compatible games
  • Lack of standardization of gesture movements
  • Low value-addition of gesture recognition technology
  • Dependence on external lighting conditions
  • Fatigue caused by gesture recognition in users
  • Limited operating range of gesture-recognition-enabled devices

PART 15: Impact of drivers and challenges

PART 16: Market trends

  • Increase in number of M&A
  • Availability of multifunctional gaming consoles
  • Development of in-house gesture recognition technology
  • Power-free gesture recognition
  • Incorporation of gesture recognition by processor manufacturers

PART 17: Vendor landscape

  • Competitive scenario

PART 18: Key vendor analysis

  • Microsoft
  • Sony
  • eyeSight Technologies
  • PointGrab
  • Samsung

PART 19: Appendix

  • List of abbreviation

PART 20: Explore Technavio

List of Exhibits

  • Exhibit 01: Definitions
  • Exhibit 02: Key regions covered in the report
  • Exhibit 03: Key vendors
  • Exhibit 04: Common currency conversion rates 2013-2015
  • Exhibit 05: Global gesture recognition market for emerging applications 2015-2020 (millions of units)
  • Exhibit 06: Global gesture recognition market for emerging applications 2015-2020 ($ million)
  • Exhibit 07: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 (%)
  • Exhibit 08: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020
  • Exhibit 09: Global gesture recognition market for emerging applications: Segmentation by technology 2015-2020 (millions of units)
  • Exhibit 10: Global gesture recognition market for emerging applications: Segmentation by technology 2015-2020 ($ million)
  • Exhibit 11: Global gesture recognition market in consumer electronics by geography 2015-2020
  • Exhibit 12: Global gesture recognition market in automotive by geography 2015-2020
  • Exhibit 13: Cost of incorporating gesture recognition technology ($)
  • Exhibit 14: Global gesture recognition market for emerging applications 2015-2020 ($ million)
  • Exhibit 15: Global gesture recognition market for emerging applications 2015-2020
  • Exhibit 16: Global gesture recognition market for emerging applications by technology 2015
  • Exhibit 17: Contribution of 2D and 3D gesture recognition technology 2015-2020 ($ million)
  • Exhibit 18: Contribution of 2D and 3D gesture recognition technology 2015-2020 (millions of units)
  • Exhibit 19: Global gesture recognition market for emerging applications by technology 2016
  • Exhibit 20: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 (millions of units)
  • Exhibit 21: Global gesture recognition market for emerging applications: Segmentation by application 2015-2020 ($ million)
  • Exhibit 22: Global gesture recognition market in consumer electronics by geography 2015-2020
  • Exhibit 23: Global gesture recognition market in automotive by geography 2015-2020
  • Exhibit 24: Impact of drivers
  • Exhibit 25: Impact of drivers and challenges
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