表紙
市場調査レポート

ヒューマンインターフェースおよびバイオメトリックデバイス:新興エコシステム・機会・予測

Human Interface & Biometric Devices

発行 Juniper Research 商品コード 320770
出版日 ページ情報 英文
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=102.18円で換算しております。
Back to Top
ヒューマンインターフェースおよびバイオメトリックデバイス:新興エコシステム・機会・予測 Human Interface & Biometric Devices
出版日: 2014年12月10日 ページ情報: 英文
概要

当レポートは、モバイルデバイスにおけるジェスチャー型、非接触およびバイオメトリック機能を支える様々な技術にとっての機会を調査しており、医療および自動車産業といったモバイル以外の技術用途を調査し、音声コマンド、指紋認証および顔認識・トラッキングなどの分野における主要動向、主要企業のプロファイルなどもまとめ、お届け致します。

目次

エグゼクティブサマリー

第1章 市場概要

  • イントロダクション
  • バイオメトリック技術のエンドユーザーのメリット
  • センサー技術
  • バイオメトリック領域における地域的活動
  • モバイルにおけるバイオメトリクスの役割
  • モバイルバイオメトリクスにおける主な動向

第2章 ヒューマンインターフェース技術の動向

  • イントロダクション
  • 波動&動作
  • 虹彩
  • 音声
  • 指紋
  • バイオメトリック特定
  • 将来のフォーカス

第3章 ベンダー革新・活動

  • イントロダクション
  • 端末の革新
  • サプライヤーの関係
  • 地域プレゼンス
  • M&A活動
    • Google
    • Apple
    • Samsung
    • Lenovo
    • その他の主な買収
    • 将来の機会

第4章 市場予測

  • イントロダクション&予測手法
  • 総消費者収益
  • ヒューマンインターフェースゲーム予測
  • マルチメディア
  • ライフスタイル
  • 認証

第5章 競合情勢

  • ベンダー情勢
  • ベンダー分析
  • ベンダーのポジショニングマトリクス結果
  • ベンダーのプロファイル
    • Cognitec
    • Emotient
    • Nuance Communications
    • Umoove
    • ValidSoft
    • VoiceTrust
    • Crunchfish
    • Descartes Biometrics
    • Elliptic Labs

このページに掲載されている内容は最新版と異なる場合があります。詳細はお問い合わせください。

目次

Overview

Juniper Research has for many years tracked leading edge technological developments within the field of mobile and consumer electronic devices.

Biometrics and Human Interface Technologies are amongst the latest innovations which we have explored in-depth. This new research explores the opportunities for the various technologies underpinning gesture-based, touchless and biometric functionalities in the mobile device.

Key Features

  • Strategic assessment of the key trends and drivers in arenas such as voice commands, fingerprint authentication and facial recognition and tracking.
  • Explores the activities of players such as Apple and Google in this space, and considers how their respective recent acquisitions, such as PrimeSense and Nest, might be used to enhance their service capabilities.
  • Invaluable insights from interviews with leading players including Cognitec, Crunchfish, Descartes Biometrics, Emotient, Nuance Communications, Umoove, ValidSoft and VoiceTrust.
  • Assessment of ground breaking Human Interface deployments.
  • Benchmark industry forecasts for primary interface technologies.
  • Key player capability and capacity assessment, together with vendor market positioning matrix.

Key Questions

  • 1. How will apps based on Human Interface technologies be monetised?
  • 2. What players are driving growth and innovation in the Human Interface space?
  • 3. How are privacy concerns likely to impact on the deployment of Human Interface technologies?
  • 4. What are the key technologies underpinning Human Interface interactions, and how are they being utilised?
  • 5. How can Human Interface technologies be deployed within the healthcare and automotive industries?

Companies Referenced

Interviewed: Cognitec, Crunchfish, Descartes Biometrics, Elliptic Labs, Emotient, Nuance, Umoove, Validsoft, VoiceTrust.

Profiled: Cognitec, Crunchfish, Descartes Biometrics, Elliptic Labs, Emotient, Nuance, Umoove, Validsoft, VoiceTrust.

Case Studied: Lenovo, PayPal, United Linkers.

Mentioned: ACLU (American Civil Liberties Union), Affdex, Affective Interfaces, Amazon, Amscreen, Amstel Beer, Apple, AT&T, Atrua, AuthenTec, Azumio, Bancafe Bank, Barclays, Big Brother Watch, Bionym, BlackBerry, Bloomberg, Capgemini, Converse, Cosatto, Cue, Deutsche Post, DHL, Disney, Domino's Pizza, eBay, EFF (Electronic Frontier Foundation), Elephant Talk Communications, Ello, EPIC (Electronic Privacy Information Center), Europay, eyeSight Technologies, Facebook, FacialNetwork, FICO, FIDO (Fast IDentity Online) Alliance, FingerPrint Cards, Flutter, Foxconn Technology Group, Fujitsu, Gilt Taste, Gionee, Goertz, Google, GSMA, HTC, Huawei, IAB (Interactive Advertising Bureau), IBM, Imsense, Infegy Atlas, Instagram, Intel, International Civil Aviation Organization, Invitation Digital, iOn Switching, Jetpac, Kickstarter.com, Knowles, Korea Telecom, L'Oréal, Labgoo, Leap Motion, LG Electronics, LinkedIn, Manta.com, MasterCard, Microsoft, Mindwave, Motorola, Murata, Myndplayer, National Cyber Security Alliance, National Institute of Standards and Technology, NeoNode, Nest Labs, Netflix, Newcastle Building Society, NEXT Biometrics, Nike, Nintendo, Nok Nok Labs, Nokia, Novauris, NTT DoCoMo, O2, Oculus, OnTheGo Platforms, Ottolenghi, Pandora, Pantech, PittPatt, Polar Rose, PrimeSense, Pyreos, Qualcomm, Quixter, Random House, RunKeeper, Samsung, Santander, shopkick, Shopperception, Siri, SK Telecom, SlickLogin, Source Audio, Spotify, Synqera, Telefonica, Tesco, Tinno, Twitter, Unisys, United Arrows, Varolii, Viewdle, Visa, Visidon, VLingo, Volkswagen Bank, Vouchercloud, W.I.L.D., Wahoo, Wavii, Wolfson Micro Electronics, YouTube.

Data & Interactive Forecast

Juniper Research's highly granular interactive excels enable clients to manipulate Juniper's forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables. IFxls greatly increase a clients' ability to both understand a particular market and to integrate their own views into the model.

Forecast suite includes:

  • Forecast splits for 8 key regions
  • App Category splits for Games, Multimedia, Lifestyle and Authentication
  • What-If Analysis tool allowing user the ability to manipulate Juniper's data for 6 different metrics.
  • Access to the full set of forecast data of 87 tables and over 4,500 datapoints.

Table of Contents

1. Market Trends & Competitive Landscape

1. Sector Overview

  • 1.1. Introduction
  • 1.2. End User Benefits of Biometric Technology
    • Figure 1.1: Role of Touchless Technologies in the Mobile Phone Industry, November 2014
    • 1.2.1. User Experience
    • 1.2.2. Enhanced Security
      • i. National and International Security
    • 1.2.3. The Future of Biometrics in Touchless Technology
  • 1.3. Sensor Technologies
    • 1.3.1. Camera Sensor
    • 1.3.2. Microphone Sensor
    • 1.3.3. InfraRed Sensor
    • 1.3.4. Speakers
  • 1.4. Regional Activity in the Biometrics Space
    • Figure 1.2: Geographic Heat Map of Conversation round Biometric Technology in the Mobile & Telecoms Industry, Year to July 2014
    • 1.4.1. North America and Europe are More Established
      • Figure 1.3: Proportion of Smartphones Users that Have Made a Physical Purchase via Their Device (%), Split by 8 Key Regions, 2010-2014
    • 1.4.2. Asia Key to Short- and Long-Term Growth
    • 1.4.3. Emerging Markets Present the Biggest Opportunity
  • 1.5. The Role of Biometrics in Mobile
    • 1.5.1. Scanning & Recognition
      • i. Facial Recognition
        • Figure 1.4: Illustration of Amazon Fire Dynamic Perspective
    • 1.5.2. Healthcare & Fitness
      • Figure 1.5: Images of Azumio's Instant HeartRate App
    • 1.5.3. Games
      • Figure 1.6: Images of Umoove Experience: the 3D Face & Eye Tracking Flying Game
    • 1.5.4. Interactive & Experiential Advertising
      • i. Retailer Analysis
    • 1.5.5. Voice Activated Command
  • 1.6. Key Trends in Mobile Biometrics
    • 1.6.1. A Rising Device Base
    • 1.6.2. ‘More the Merrier' Trend in Smartphone Sensors
      • Figure 1.7: Proportion of New Handsets with 2 or More Cameras, 2012-2014
    • 1.6.3. Rise in Multi-Platform Service Access
    • 1.6.4. Touchless Complementing Rather Than Replacing Touchscreen
      • i. Impact of Handset Materials on the Future of Touch Technology
        • Figure 1.8: Trends in Average Price of Indium of 99.99% Purity Per Kilogram (July 2013-September 2014)

2. Trends in Human Interface Technologies

  • 2.1. Introduction
    • Figure 2.1: Exposure to Gesture and Touchless Technologies beyond the Mobile Industry
  • 2.2. Wave & Motion
    • 2.2.1. Wave Innovations Outside the Mobile Phone Sector
    • 2.2.2. Camera-based Gesture Control
    • 2.2.3. NFC
      • Figure 2.2: NFC Handsets & Interim Solutions in Use for Payments (m) Split by 8 Key Regions 2014-2019
  • 2.3. Iris
    • 2.3.1. Camera Specifications are Advancing
      • Figure 2.3: Main Handset Camera Specification (MP) 2009-2013
    • 2.3.2. An Eye on the Selfie Camera
    • 2.3.3. Improving Auto-focus for Faster Response
    • 2.3.4. Face Tracking Offers Potential for Marketers
    • 2.3.5. From Tracking to Recognition
  • 2.4. Voice
    • 2.4.1. Voice Activated Command
    • 2.4.2. Voice/Speaker Recognition
  • 2.5. Facial
    • 2.5.1. FMCG Companies Innovate with Facial Mapping
      • Figure 2.4: Illustration of Facial L'Oréal Paris's Facial Scanning App, Makeup Genius, June 2014
    • 2.5.2. Google Eyes Facial Recognition
    • 2.5.3. Software Makes Inroads into Application of Facial Recognition
    • 2.5.4. Privacy a Key Concern
    • 2.5.5. From Facial Recognition to Expression Recognition
  • 2.6. Fingerprinting
    • 2.6.1. Case Study: PayPal
    • 2.6.2. Case Study: Lenovo
    • 2.6.3. Case Study: United Linkers
  • 2.7. Biometric Identifiers
    • 2.7.1. Heart Rate
    • 2.7.2. Other Biometric Scanning
      • Figure 2.5: Trends in Average Smartphone Screen Size (inches), 2009-2013
      • Figure 2.6: Descartes Biometrics Ergo Ear Print Recognition App
  • 2.8. Future Focus
    • 2.8.1. Sensor Fusion Could Unlock a New Approach to Authentication

3. Vendor Innovation & Activity

  • 3.1. Introduction
  • 3.2. Handset Innovation
    • Figure 3.1: Smartphone Models Launched Enabling Touchless or Biometric Interactivity, 2012-2014
    • 3.2.1. Handset Innovation Enabling Growth of Touchless Technologies
    • 3.2.2. Multi-Modality Future
    • 3.2.3. Innovation by Handset
      • Figure & Table 3.2: Proportion of Available Handsets that Feature Touchless or Biometric Hardware, by Handset Manufacturer, 2014
  • 3.3. Supplier Relationships
    • 3.3.1. SDKs to Spur Innovation
      • i. Back Seat Role for Start-Up Enterprises
  • 3.4. Regional Presence
    • 3.4.1. Start-ups: Funding & Partnerships
  • 3.5. M&A Activity
    • 3.5.1. Google
      • Figure 3.3: Timeline of Selected Google Acquisitions with Significance to Touchless or Biometric Technology
      • i. Camera-based Acquisitions
      • ii. Sound-based Acquisitions
      • iii. Other Relevant Acquisitions
    • 3.5.2. Apple
      • i. Facial & Voice Recognition
        • Figure 3.4: Timeline of Selected Apple Acquisitions with Significance to Touchless or Biometric Technology
      • ii. Biometric Authentication
      • iii. Other Relevant Acquisitions
    • 3.5.3. Samsung
      • i. Incubator Strategy
      • ii. A Less Conventional Approach
    • 3.5.4. Lenovo
    • 3.5.5. Other Key Acquisitions
    • 3.5.6. Future Opportunities

4. Competitive Landscape

  • 4.1. Vendor Landscape
    • Figure 4.4.1: Touchless Technology Vendor Types
  • 4.2. Vendor Analysis
    • 4.2.1. Vendor Assessment Criteria
      • Table 4.4.2: Vendor Capability Assessment Factors
    • 4.2.2. Limitations and Interpretation
  • 4.3. Vendor Positioning Matrix Results
    • 4.3.1. Overall Matrix Position
      • Table 4.4.3: Global Mobile Touchless and Biometric Technology Scoring Matrix
      • Figure 4.4.4: Global Mobile Touchless and Biometric Technology Positioning Matrix
    • 4.3.2. Vendor Groupings
      • i. Summary
      • ii. On Track Vendors
      • iii. Vendors with Further Potential
  • 4.4. Human Interface Movers & Shakers
  • 4.5. Vendor Profiles
    • 4.5.1. Cognitec
      • Figure 4.4.5: Cognitec Mobile Examiner
    • 4.5.2. Emotient
    • 4.5.3. Nuance Communications
    • 4.5.4. Umoove
    • 4.5.5. ValidSoft
    • 4.5.6. VoiceTrust
    • 4.5.7. Crunchfish
    • 4.5.8. Descartes Biometrics
    • 4.5.9. Elliptic Labs

2. Market Sizing & Forecasts

1. Sector Overview

  • 1.1. Introduction
  • 1.2. End User Benefits of Biometric Technology
    • Figure 1.1: Role of Touchless Technologies in the Mobile Phone Industry, November 2014
    • 1.2.1. User Experience
    • 1.2.2. Enhanced Security
      • i. National and International Security
    • 1.2.3. The Future of Biometrics in Touchless Technology
  • 1.3. Sensor Technologies
    • 1.3.1. Camera Sensor
    • 1.3.2. Microphone Sensor
    • 1.3.3. InfraRed Sensor
    • 1.3.4. Speakers
  • 1.4. Regional Activity in the Biometrics Space
    • Figure 1.2: Geographic Heat Map of Conversation round Biometric Technology in the Mobile & Telecoms Industry, Year to July 2014
    • 1.4.1. North America and Europe are More Established
      • Figure 1.3: Proportion of Smartphones Users that Have Made a Physical Purchase via Their Device (%), Split by 8 Key Regions, 2010-2014
    • 1.4.2. Asia Key to Short- and Long-Term Growth
    • 1.4.3. Emerging Markets Present the Biggest Opportunity
  • 1.5. The Role of Biometrics in Mobile
    • 1.5.1. Scanning & Recognition
      • i. Facial Recognition
        • Figure 1.4: Illustration of Amazon Fire Dynamic Perspective
    • 1.5.2. Healthcare & Fitness
      • Figure 1.5: Images of Azumio's Instant HeartRate App
    • 1.5.3. Games
      • Figure 1.6: Images of Umoove Experience: the 3D Face & Eye Tracking Flying Game
    • 1.5.4. Interactive & Experiential Advertising
      • i. Retailer Analysis
    • 1.5.5. Voice Activated Command
  • 1.6. Key Trends in Mobile Biometrics
    • 1.6.1. A Rising Device Base
    • 1.6.2. ‘More the Merrier' Trend in Smartphone Sensors
      • Figure 1.7: Proportion of New Handsets with 2 or More Cameras, 2012-2014
    • 1.6.3. Rise in Multi-Platform Service Access
    • 1.6.4. Touchless Complementing Rather Than Replacing Touchscreen
      • i. Impact of Handset Materials on the Future of Touch Technology
        • Figure 1.8: Trends in Average Price of Indium of 99.99% Purity Per Kilogram (July 2013-September 2014)

2. Market Forecasts

  • 2.1. Introduction & Methodology
  • 2.2. Total Consumer Revenues
    • 2.2.1. Revenues by Region
      • Figure & Table 2.1: Total Consumer Revenues Attributable to Human Interface Applications ($m), Split by 8 Key Regions, 2014-2019
    • 2.2.2. Revenues by Primary Interface Technology
      • Figure & Table 2.2: Global Consumer Human Interface Revenues Split by Primary Interface Technology ($m), 2014-2019
    • 2.2.3. Revenues by App Category
      • Figure & Table 2.3: Total Consumer Human Interface Revenues Attributable to Human Interface Biometrics Applications, Split by App Category ($m), 2014-2019
  • 2.3. Human Interface Games Forecasts
    • 2.3.1. Service Adoption
      • Figure & Table 2.4: Number of Smartphone Owners Downloading Human Interface Games (m), Year End, 2014-2019
    • 2.3.2. Usage
      • Figure & Table 2.5: Number of Human Interface Games Downloaded Per Annum (m), Year End, Split by 8 Key Regions, 2014-2019
    • 2.3.3. Pricing
      • Table 2.6: Average Price Per PPD Game ($), Split by 8 Key Regions 2014-2019
    • 2.3.4. Revenues
      • Figure & Table 2.7: Total Revenues from Human Interface Games Apps ($m), Split by 8 Key Regions 2014-2019
  • 2.4. Human Interface Multimedia Forecasts
    • 2.4.1. Adoption
      • Figure & Table 2.8: Number of Smartphone Owners Downloading Human Interface Multimedia Apps (m), Split by 8 Key Regions 2014-2019
    • 2.4.2. Usage
      • Figure & Table 2.9: Total Number of Human Interface Multimedia Apps Downloaded Per Annum (m), Split by 8 Key Regions 2014-2019
    • 2.4.3. App Pricing
      • Table 2.10: Average Price Per PPD Human Interface Multimedia App ($), Split by 8 Key Regions 2014-2019
    • 2.4.4. Revenues
      • Figure & Table 2.11: Total Revenues from Human Interface Multimedia Apps ($m), Split by 8 Key Regions 2014-2019
  • 2.5. Human Interface Lifestyle Forecasts
    • 2.5.1. Adoption
      • Figure & Table 2.12: Number of Smartphone Owners (m) Downloading Human Interface Lifestyle Apps, Year End, Split by 8 Key Regions 2014-2019
    • 2.5.2. Usage
      • Figure & Table 2.13: Total Number of Human Interface Lifestyle Apps Downloaded Per Annum (m), Split by 8 Key Regions 2014-2019
    • 2.5.3. App Pricing
      • Table 2.14: Average Price Per PPD Human Interface Lifestyle App ($), Split by 8 Key Regions 2014-2019
    • 2.5.4. Revenues
      • Figure & Table 2.15: Total Revenues from Human Interface Lifestyle Apps ($m) Split by 8 Key Regions 2014-2019
  • 2.6. Human Interface Authentication Forecasts
    • Table 2.16: Number of Human Interface Authentication Apps In Use (m) By Authentication Type, 2014-2019
    • 2.6.1. Adoption
      • Figure & Table 2.17: Number of Smartphone Owners Downloading Human Interface Authentication Apps (m), Year End, Split by 8 Key Regions 2014-2019
    • 2.6.2. Usage
      • Figure 2.18: Total Number of Human Interface Authentication Apps Downloaded Per Annum (m), Split by 8 Key Regions 2014-2019
Back to Top