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市場調查報告書

行動生物辨識:消費者取向市場的市場機會、市場預測

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

出版商 Juniper Research 商品編碼 320770
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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行動生物辨識:消費者取向市場的市場機會、市場預測 Mobile Biometrics: Consumer Markets, Opportunities & Forecasts 2016-2021
出版日期: 2016年12月01日 內容資訊: 英文
簡介

本報告提供行動設備所使用的各種生物辨識技術的市場調查,生物辨識技術種類與概要,各技術狀況企業的解決方案的案例研究,價值鏈,主要的相關利益者,經營模式,硬體設備、軟體&服務、交易規模的預測等彙整資料。

第1章 生物辨識市場:要點

  • 簡介
  • 調查範圍
  • 主要調查結果
  • 策略性建議 & 最佳業務實踐指南

第2章 市場分析、市場機會

  • 目前生物辨識市場
    • 市場的狀況
    • 循環為基礎的生物辨識
      • 案例研究:手指靜脈認證 (日立)
      • 案例研究:lymi Band
    • 眼睛的生物辨識
      • 案例研究:Filter Changing (CrucialTec)
      • 案例研究:Eyeprint ID (EyeVerify)
    • 臉部辨識
      • 案例研究:Windows Hello
    • 指紋掃描
      • 案例研究:Sense ID (Qualcomm)
    • 語音辨識
      • 案例研究:VocalPassword (Nuance)
    • 其他
  • 主要的相關利益者與價值鏈
    • 經營者分析、經營模式
  • 市場動態
    • 成長推動因素
    • 阻礙成長要素
    • 市場趨勢

第3章 預測摘要、預測手法

  • 簡介
  • 預測手法
    • 硬體設備
      • 穿戴式生物辨識
    • 軟體、服務
      • 手機辦理銀行業務的語音認證
    • 交易預測
  • 預測摘要
    • 硬體設備
    • 應用
    • 交易
      • 交易量
      • 交易額

第4章 生物識別硬體設備的預測

  • 裝機量的預測
    • 指紋掃描機
    • 虹膜掃描機
    • 整合型PC臉部辨識相機
    • 生物識別認證用穿戴式裝置

第5章 生物識別軟體&交易的預測

  • 軟體的預測
    • 應用
      • 使用影像ID生物辨識的應用
      • 使用指紋生物辨識的應用
      • 使用虹膜生物辨識的應用
      • 採使用語音生物辨識的應用
      • 聲紋電話銀行業務軟體用戶
  • 交易的預測
    • 交易量的預測
      • 付款數量
      • 票務數量
    • 交易額的預測
      • 付款額
      • 票務收益

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目錄

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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