Global Gesture Recognition Market for Consumer Electronic Devices 2015-2019

家電製品向けジェスチャー認識の世界市場2015-2019

◆タイトル:Global Gesture Recognition Market for Consumer Electronic Devices 2015-2019
◆商品コード:IRTNTR6605
◆調査・発行会社:Technavio (Infiniti Research Ltd.)
◆発行日:2015年7月22日
◆ページ数:55
◆資料形式:pdf / 英語
◆納品方法:Eメール
◆調査対象地域:グローバル
◆産業分野:電子
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【資料の概要】

当調査レポートでは、家電製品向けジェスチャー認識の世界市場について調査・分析し、エグゼクティブサマリー、市場概観、業界の構造分析、家電製品向けジェスチャー認識の世界市場規模及び予測、地域別分析、購買基準、市場成長要因、市場の課題、市場動向、競争状況、主要企業(ベンダー)分析などの情報をお届けいたします。

About Gesture Recognition
Gesture recognition technology is a method of interpreting human gestures and movements using computer algorithms. The technology applies human gestures, such as movement of hand, fingers, arms, head or an entire body, as input mechanism to perform desired actions in a system.
It is a form of replacement of old-fashioned input mechanisms wherein keyboards, mouse, remote controls, and various other control devices are used to perform remote functions.

In gesture recognition technology, a remotely-controlled device can be ideally operated using certain gestures, such as waving at a particular distance to switch it on or mute it by putting a finger on lips. The device usually contains a chip with gesture recognition software that follows the movements of the user. Gesture recognition, in combination with voice recognition, facial recognition, eye-tracking and other related technologies, makes for a very powerful technology that can completely change the way we control machines.

Technavio analysts forecast the global gesture recognition market for consumer electronic devices to grow at a CAGR of 66.8% during 2014-2019.

[Covered in this Report]
The report covers the present scenario and the growth prospects of the global gesture recognition market for consumer electronic devices for the period 2015-2019. We present the vendor landscape and a detailed analysis of the key vendors in the market. In addition, we discuss the major drivers influencing market growth and also outline the challenges facing the vendors and the market as a whole. We evaluate the key trends emerging in the market as well.

The Technavio report, namely Global Gesture Recognition Market for Consumer Electronic Devices 2015-2019, is based on an in-depth market analysis, with inputs from industry experts. The report covers the Americas, EMEA and APAC markets. It also presents the current market landscape and its growth prospects in the coming years.

[Key Regions]
• Americas
• EMEA
• APAC

[Key Vendors]
• CrunchFish
• eyeSight Technologies
• Intel
• Microsoft
• PointGrab
• Samsung
• SoftKinetic
• Sony

[Market Driver]
• Growth of Consumer Electronics Market
• For a full and detailed list, view our report

[Market Challenge]
• Low Value Addition
• For a full and detailed list, view our report

[Market Trend]
• Increase in Vendor Population
• For a full and detailed list, view our report

[Key Questions Answered in this Report]
• What will the market size be in 2019 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?

【資料の目次】

01. Executive Summary

02.List of Abbreviations

03.Market Overview

04.Scope of the Report
04.1 Definitions
04.1.1 Smart TV
04.1.2 Smartphone and Tablet
04.1.3 Gaming Consoles
04.1.4 Desktop and Portable PCs
04.1.5 Gestures
04.1.6 2D Gesture Recognition
04.1.7 3D Gesture Recognition
04.2 Market Size Calculation
04.3 Geographical Segmentation
04.4 Vendor Segmentation
04.5 Base Year
04.6 Common Currency Conversion Rates

05.Introduction
05.1 Gesture Recognition Technology Overview
05.1.1 Definition
05.1.2 How it Works?
05.2 History
05.3 Current Scenario
05.4 Future Perspective

06.Market Size and Forecast

07.Five Forces Analysis
07.1 Bargaining Power of Suppliers
07.2 Bargaining Power of Buyers
07.3 Threat of Rivalry
07.4 Threat of New Entrants
07.5 Threat of Substitutes

08.Geographical Analysis
08.1 Americas
08.2 EMEA
08.3 APAC

09.Market Growth Drivers

10.Market Challenges

11.Market Trends

12.Vendor Landscape
12.1 Competitive Scenario

13.Key Vendor Analysis
13.1 Crunchfish
13.1.1 Key Facts
13.1.2 Business Overview
13.1.3 Recent Developments
13.2 eyeSight Technologies
13.2.1 Key Facts
13.2.2 Business Overview
13.2.3 Key Investors
13.2.4 Recent Developments
13.2.5 Key Highlights
13.3 Intel
13.3.1 Key Facts
13.3.2 Business Overview
13.3.3 Business Segmentation by Revenue 2014
13.3.4 Intel in Gesture Recognition for Desktop PCs and Laptops
13.3.5 Recent Developments
13.4 Microsoft
13.4.1 Key Facts
13.4.2 Business Overview
13.4.3 Business Segmentation by Revenue 2014
13.4.4 Microsoft in Gesture Recognition for Gaming Consoles
13.5 PointGrab
13.5.1 Key Facts
13.5.2 Business Overview
13.5.3 Recent Developments
13.5.4 Key Highlights
13.6 Samsung
13.6.1 Key Facts
13.6.2 Business Overview
13.6.3 Business Segmentation by Revenue 2014
13.6.4 Gesture Control Recognition in Samsung Smart TV’s
13.7 SoftKinetic
13.7.1 Key Facts
13.7.2 Business Overview
13.7.3 Key Offerings
13.7.4 Markets Served
13.7.5 Key Partners
13.7.6 Gesture Recognition for Gaming Consoles
13.7.7 Recent Developments
13.7.8 Key Highlights
13.8 Sony
13.8.1 Key Facts
13.8.2 Business Overview
13.8.3 Business Segmentation by Revenue 2015
13.8.4 Key Highlights for Gesture Recognition in Gaming Consoles

14.Other Reports in this Series

[List of Exhibits]

Exhibit 1: Market Size and Forecast by Revenue and Unit Shipments 2014-2019
Exhibit 2: Unit Shipments of Consumer Electronic Devices with Gesture Recognition 2014-2019 (millions of units)
Exhibit 3: Revenue Generated by Consumer Electronic Devices with Gesture Recognition 2014-2019 ($ millions)
Exhibit 4: Segmentation of Global Gesture Recognition Market for Consumer Electronic Devices 2014
Exhibit 5: Unit Shipments of Consumer Electronic Devices 2014-2019 (millions of units)



【掲載企業】

CrunchFish, eyeSight Technologies, Intel, Microsoft, PointGrab, Samsung, SoftKinetic, Sony

【資料のキーワード】

ジェスチャー認識技術、家電製品、スマートテレビ、スマートフォン、ゲーム機、2Dジェスチャー認識、3Dジェスチャー認識

【調査方法】

一次資料による調査(業界専門家、ベンダー、代理店、顧客等を対象にしたデプスインタビュー調査など)及び二次資料による調査(Technavio独自のプラットフォーム、産業書籍、企業報告書、ニュース記事、アナリストレポート、貿易協会、政府機関発行データなど)

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