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モバイルバイオメトリクス:消費者向け市場の市場機会・市場予測

Mobile Biometrics: Consumer Markets, Opportunities & Forecasts 2016-2021

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
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モバイルバイオメトリクス:消費者向け市場の市場機会・市場予測 Mobile Biometrics: Consumer Markets, Opportunities & Forecasts 2016-2021
出版日: 2016年12月01日 ページ情報: 英文
概要

当レポートでは、モバイル機器で利用される各種バイオメトリクス技術の市場を調査し、バイオメトリクス技術の種類と概要、各技術の状況、企業によるソリューションのケーススタディ、バリューチェーン、主なステークホルダー、ビジネスモデル、ハードウェア・ソフトウェア&サービス・トランザクションの規模の予測などをまとめています。

第1章 バイオメトリクス市場:要点

  • イントロダクション
  • 調査範囲
  • 主要調査結果
  • 戦略的提言 & ベストプラクティスガイド

第2章 市場分析・市場機会

  • 現在のバイオメトリクス市場
    • 市場の状況
    • 循環ベースのバイオメトリクス
      • ケーススタディ:指静脈認証 (日立)
      • ケーススタディ:lymi Band
    • 眼によるバイオメトリクス
      • ケーススタディ:Filter Changing (CrucialTec)
      • ケーススタディ:Eyeprint ID (EyeVerify)
    • 顔認識
      • ケーススタディ:Windows Hello
    • 指紋スキャン
      • ケーススタディ:Sense ID (Qualcomm)
    • 声紋認証
      • ケーススタディ:VocalPassword (Nuance)
    • その他
  • 主なステークホルダーとバリューチェーン
    • 事業者の分析・ビジネスモデル
  • 市場力学
    • 成長推進因子
    • 成長阻害因子
    • 市場動向

第3章 予測サマリー・予測手法

  • イントロダクション
  • 予測手法
    • ハードウェア
      • ウェアラブルバイオメトリクス
    • ソフトウェア・サービス
      • テレフォンバンキングの音声認証
    • トランザクション予測
  • 予測サマリー
    • ハードウェア
    • アプリケーション
    • トランザクション
      • トランザクション件数
      • トランザクション額

第4章 バイオメトリックハードウェアの予測

  • インストールベースの予測
    • 指紋スキャナー
    • 虹彩スキャナー
    • 統合型PC顔認識カメラ
    • バイオメトリック認証用ウェアラブル

第5章 バイオメトリックソフトウェア&トランザクションの予測

  • ソフトウェアの予測
    • アプリケーション
      • 画像IDバイオメトリクスを用いたアプリケーション
      • 指紋バイオメトリクスを用いたアプリケーション
      • 虹彩バイオメトリクスを用いたアプリケーション
      • 音声バイオメトリクスを用いたアプリケーション
      • 声紋テレフォンバンキングソフトウェアユーザー
  • トランザクションの予測
    • トランザクション件数の予測
      • 決済件数
      • 発券件数
    • トランザクション額の予測
      • 決済額
      • 発券収益

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目次

Overview

Juniper Research's new Mobile Biometrics research provides analysis, market sizing and opportunity assessment for both mainstream and emerging biometric technologies.

The research looks at adoption rates across a variety of sectors and geographical markets, identifying key trends, developments and use-cases. The key technologies covered are:

  • Fingerprint biometrics
  • Iris scanning
  • Facial recognition
  • Voice recognition

This research suite includes:

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

Key Features

  • Trend Assessment: Strategic assessment of the key trends and market drivers across the four key biometric markets.
  • Technology Impact Analysis: In-depth assessment of the state of Human Interface technology deployments, showcasing and analysing key deployments.
  • Interviews: Invaluable insights from leading players including:
    • EyeVerify
    • Neurotechnology
    • Acuant.
  • Benchmark industry forecasts: Provided for the size and growth of the consumer biometrics market, including adoption rates, transaction volumes, and transaction values.

Key Questions

  • 1.Which countries will see the biggest uptake in biometric methods, and how do these differ?
  • 2.What devices are best suited to emerging biometric technologies?
  • 3.How will the increasing range of biometric technologies work together to provide increased security?
  • 4.What are the best practices for successful and secure deployment of biometrics?
  • 5.What is the current state of biometric technologies, and how will they evolve in future?

Companies Referenced

Acuant, Amazon, Ant Financial, Apple, Barclays, BioEnable, Biyo, Cheetah Mobile, Cross Match Verifier, CrucialTec, Descartes Biometrics, EyeVerify, Fitbit, Google, Hitachi, Image Vision, ImageWare Systems, Intel, IRIScan, M2SYS, Mastercard, Microsoft, NEC, Neurotechnology, NTT DoCoMo, Nuance, Nymi, Precise Biometrics, Qualcomm, Razer, Samsung, WeChat, Wise Orchard, Xiaomi, Xolo, Yulong, ZKTeco.

Data & Interactive Forecast

Juniper's latest Mobile Biometrics forecast suite includes:

  • Market data splits for 8 key regions, and 11 countries including:
    • Canada
    • China
    • Denmark
    • Germany
    • India
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
  • Market hardware and software data splits for 4 biometric technologies:
    • Fingerprint sensors
    • Facial Recognition
    • Iris Recognition
    • Voice Recognition
  • Data splits by device type:
    • Smartphones
    • Tablets
    • PCs
    • Phone banking
  • Data splits by transaction types:
    • Remote payments
    • Contactless payments
    • Ticketing transactions
  • Access to the full set of forecast data of 103 tables and over 11,800 data points.
  • All verticals include forecasts for consumer adoption rates and installed base.

Juniper Research's highly granular Interactive Excels (IFXLs) 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. Biometrics Market: Key Takeaways

  • 1.1. Introduction
  • 1.2. Research Scope
    • 1.2.1. Definition
    • 1.2.2. Research Structure
  • 1.3. Key Findings
  • 1.4. Strategic Recommendations & Best Practice Guide

2. Biometrics Market Analysis & Opportunities

  • 2.1. Current Market for Biometrics
    • 2.1.1. Market Status
      • Figure 2.1:Juniper Phased Evolution Model for Biometrics
    • 2.1.2. Circulation-based Biometrics
      • Figure 2.2: Biyo Vein-scanning POS Terminal
      • i. Case Study: Hitachi Camera-based Finger Vein Authentication
      • ii. Case Study: lymi Band
    • 2.1.3. Eye-based Biometrics
      • i. Case Study: CrucialTec Filter Changing
      • ii. Case Study: Eyeprint ID by EyeVerify
    • 2.1.4. Facial Recognition
      • Figure 2.3: Razer Stargazer Webcam Marketing Image
      • i. Case Study: Windows Hello
    • 2.1.5. Fingerprint Scanning
      • Figure 2.4: Google Trends Comparison of 'Touch ID' & Other Biometric Measures as Search Terms
      • i. Case Study: Qualcomm Sense ID
        • Figure 2.5: Xiaomi Mi 5s & Mi 5s Plus
    • 2.1.6. Voiceprint Authentication
      • i. Case Study: Nuance VocalPassword
    • 2.1.7. Other Authentication Methods
  • 2.2. Key Biometrics Stakeholders & Value Chain
    • 2.2.1. Player Analysis & Business Models
      • Figure 2.6: Biometrics Ecosystem
  • 2.3. Biometric Market Dynamics
    • Figure 2.7: Juniper Market Dynamics for Biometrics
    • 2.3.1. Market Drivers
      • Figure 2.8: Proportion of Smartphones Released that have a Fingerprint Sensor Integrated (%)
    • 2.3.2. Market Barriers
    • 2.3.3. Market Trends
      • Figure 2.9: Biometric App Download Distribution

3. Summary Forecasts & Forecast Methodology

  • 3.1. Introduction
  • 3.2. Forecast Methodology
    • 3.2.1. Hardware Forecasts
      • i. Wearable Biometrics
    • 3.2.2. Software & Service Forecasts
      • i. Telephone Banking Voice Authentication
    • 3.2.3. Transaction Forecasts
      • Figure 3.1: Biometric Smart Mobile Devices Hardware Forecast Methodology
      • Figure 3.2: Biometric Smart Mobile Devices Software &Transactions Forecast Methodology
  • 3.3. Summary Forecasts
    • 3.3.1. Hardware Forecasts
      • Figure & Table 3.3: Biometrics Hardware Installed Base (m) by Category, 2016-2021
    • 3.3.2. App Forecasts
      • Figure & Table 3.4: Biometric-enabled Apps, Installed Base by Category (m), 2016-2021
    • 3.3.3. Transaction Forecasts
      • i. Transaction Volume
        • Figure & Table 3.5: Biometrically-Authenticated Transactions (m) per annum, 2016-2021
      • ii. Transaction Value
        • Figure & Table 3.6: Biometric Transaction Value per annum ($m) by Catagory

4. Biometric Hardware Forecasts

  • 4.1. Installed Base Forecasts
    • 4.1.1. Fingerprint Scanners
      • Figure & Table 4.1: Number of Smart Mobile Devices writh Fingerprint Scanners, Installed Base per annum (m), 2016-2021
    • 4.1.2. Iris Scanners
      • Figure & Table 4.2: Number of Smartphones writh Iris Scanners, Installed Base per annum (m), 2016-2021
    • 4.1.3. Integrated PC Facial Recognition Cameras
      • Figure & Table 4.3: Number of PCs with Integrated Facial Recognition Cameras, Installed Base per annum (m), 2016-2021
    • 4.1.4. Biometric Authentication Wearables
      • Figure & Table 4.4: Number of Biometric Authentication Wearables, Installed Base per annum (m), 2016-2021

5. Biometric Software & Transaction Forecasts

  • 5.1. Software Forecasts
    • 5.1.1. App Forecasts
      • i. Apps Using Pictorial ID Biometrics
        • Figure & Table 5.1: Pictorial ID Biometric Software Apps, Installed Base per annum (m), 2016-2021
      • ii. Apps Using Fingerprint Biometrics
        • Figure & Table 5.2: Number of Apps that Use Fingerprint Biometrics, Installed Base per annum (m), 2016-2021
      • iii. Apps Using Iris Biometrics
        • Figure & Table 5.3: Number of Apps that Use Iris Biometrics, Installed Base per annum (m), 2016-2021
      • iv. Apps Using Voice Biometrics
        • Figure & Table 5.4: Number of Apps that Use Iris Biometrics, Installed Base per annum (m), 2016-2021
      • v. Voiceprint Phone Banking Software Users
        • Figure & Table 5.5: Number of Banked Individuals using Biometric-Verified Phone Banking per annum (m)
  • 5.2. Trcansaction Forecasts
    • 5.2.1. Transaction Volume Forecasts
      • i. Biometric Payment Transactions
        • Figure & Table 5.6: Number of Smartphone Payments Per Annum that are Biometrically Verified (m), Split by 8 Key Regions 2016-2021
      • ii. Biometric Ticketing Transactions
        • Figure & Table 5.7: Number of Biometrically-Authenticated Tickets per annum (m ), 2016-2021
    • 5.2.2. Transaction Value Forecasts
      • i. Biometric Payment Transaction Value
        • Figure & Table 5.8: Value of Biometrically-Verified Smartphone Payment Transactions per annum (m), 2016-2021
      • ii. Biometric Ticketing Transaction Revenue
        • Figure & Table 5.9: Value of Biometrically-Verified Smartphone Ticketing Transactions per annum ($m) 2016-2021
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