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デジタルアイデンティティ:技術革新、規制分析&予測 2019-2024年


Digital Identity

このレポートはデジタルアイデンティティ市場について調査し、用途や規制について言及しています。 セグメント別分析 住民識別アプリ デジタルIDカード ... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 言語
Juniper Research
ジュニパーリサーチ社
2019年7月9日 GBP4,090
企業ライセンス(PDF+Excel)
ライセンス・価格情報
注文方法はこちら
95 英語

「Deep Dive Strategy & Competition」「Deep Dive Data & Forecasting」のみの購入も可能です。詳しくはお問合せ下さい。


 

サマリー

このレポートはデジタルアイデンティティ市場について調査し、用途や規制について言及しています。

セグメント別分析

  • 住民識別アプリ
  • デジタルIDカード
  • サードパーティー識別アプリ
  • モバイル識別のインストールベースの利用量と収益
  • モバイル生体認証のインストールベースと利用量

Overview

Juniper Research’s new report on the Digital Identity market provides an extensive guide to this rapidly moving and complex landscape. The research provides insights into the shape of the market across different regulatory regimes, technologies and use cases, as well as 5-year forecasts for the following key digital identity sectors:

  • Digital Identity Apps
  • Civic Digital Identity
  • Mobile Biometric Technologies
The report outlines the current state of the digital identity ecosystem, with viewpoints from a wide range of stakeholders across the industry. It also provides one of the most comprehensive guides available on the complex national and international regulatory landscape for digital identity, both currently and in the near future.

Readers will also be provided with valuable insights into vendors’ strategies and a fine-grained analysis of the current competitive landscape, supported by interviews with key vendors in the field.

The research suite comprises of:
  • Deep Dive Strategy & Competition (PDF)
  • Deep Dive Data and 5-Year Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)
  • 12 months' access to harvest online data platform

Key Features

  • Market Trends: Detailed analyses of each digital identity segment, coupled with insights on market trends, limitations and future outlook. This analysis provides:
    • Market trends affecting digital identity
    • Current status of the digital identity market
    • Juniper Research Phased Evolution Model for the future of key digital identity technologies
  • Country Level Analysis: In-depth discussion on how legislation and cultural factors are impacting digital identity solution deployment across 23 key countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • Chile
    • China
    • Denmark
    • Estonia
    • Finland
    • Germany
    • India
    • Italy
    • Japan
    • Kenya
    • Norway
    • Singapore
    • South Africa
    • Spain
    • Sweden
    • Turkey
    • UAE
    • UK
    • US
  • Juniper Research Leaderboard: 13 leading digital identity vendors compared, scored and positioned on the Juniper Research Leaderboard matrix, including:
    • Acuant
    • Callsign
    • Civic Technologies
    • Evernym
    • Experian
    • Gemalto
    • Giesecke+Devrient
    • HYPR
    • IBM
    • IDEMIA
    • IdentityMind
    • Mitek
    • Signicat
  • Benchmark Industry Forecasts: Data projections for:
    • Digital Identity User Base
    • Digital Identity Civic App User Base
    • Digital Identity Card User Base
    • Mobile Identity User Base
    • Mobile Identity Revenues
    • Mobile Biometrics User Base
  • Interviews: Leading vendors interviewed include:
    • Acuant
    • Callsign
    • Civic Technologies
    • Evernym
    • Experian
    • Gemalto
    • Giesecke+Devrient
    • HYPR
    • IBM
    • IDEMIA
    • IdentityMind
    • Mitek
    • Signicat

Key Questions

  1. What forms of digital identity will consumers use in the future?
  2. How successful will self-sovereign identity platforms be?
  3. What effect will regulations have on the digital identity market?
  4. How will identities be managed across an expanding Internet of Things?
  5. What are the leading companies’ strategies for developing digital identity?

Companies Referenced

Interviewed: Acuant, Callsign, Civic Technologies, Evernym, Experian, Gemalto, Giesecke+Devrient, HYPR, IBM, IDEMIA, IdentityMind, Mitek, Signicat.
 
 
Profiled: Acuant, Callsign, Civic Technologies, Evernym, Experian, Gemalto, Giesecke+Devrient, HYPR, IBM, IDEMIA, IdentityMind, Mitek, Signicat.
 
Case Studied: KardiaChain, Nymi.
 
Mentioned: 3M Cogent, 41st Parameter, A2iA Group, Advent International, Aetna CVS Health, Ant Financial, ASG Technologies, AssureTec Technologies, Australia Post, Avoka, BanQu, Binance, BioCatch, Bitpoint, Bittrex, BMO Bank of Montreal, Brave, Build38 GmbH, Bundesdruckerei, China Mobile, Civil Registry and Identification Service, CK Hutchison, Clicks2Customers, Congressional Radio and TV Correspondents Association, Credly, CULedger, CynjaTech, Danal, Daon, DIACC (Digital Identity & Authentication Council of Canada), Digital Transformation Agency, Emailage, Ericsson, E-Seek Holding Inc, Facebook, Finicity, First Citrus Bank, ForgeRock, Fremont Group, Funkwerk AG, Google, GSMA, Gyft, HyperLedger, Hyperwallet, ICA (Federal Authority for Identity and Citizenship), ICAR, IDnow, INAI (The National Institute of Transparency, Access to Information and Personal Data Protection), incuBeta Holdings, Instagram, JanusID, Johnson Controls, Koi Trading, LG&E Energy, Mastercard, McAfee, Mercari, Metlife, Microsoft, Motorola, Mount Airey, MyCelia, National Press Foundation, NatWest, Neustar, Newtown Partners (Pty) Ltd, NIST (National Institution of Standards and Technology), Nordic Capital, NP Energy, NuData Security, Oberthur Technologies, OneSpan, Pan-Canadian Trust, Paper Verify, Pearson VUE, Personal Data Protection Commission, PING Identity, PowerQuest/Symantec, PPC (Personal Information Protection Commission), Rakuten, RBC Royal Bank, RCI, Rivetz, SafeNet, Safran, Samsung, SecureKey, Sense About Science USA, Serco Group, Setec Oy, SI International, Silicon Cape Initiative, Skyrove, Sovrin Network and Foundation, Telefónica, Temenos, Tenneco Energy, Thales Group, The Blackstone Group, Three, TrafficSynergy, Trulioo, Turkcell, Uganda Security Printing Company, UIDAI (Unique Identification Authority of India), Unification, Veridos, Visa, W3C, WeChat, WhitePages Pro, Yola, ZOLOZ.
 

Data & Interactive Forecast

Juniper Research’s Digital Identity forecast suite includes projections in terms of digital identity adoption, users and, for mobile identity, revenues.
  • Segment-specific forecasts include:
    • Civic identity apps
    • Digital identity cards
    • Third party identity apps
    • Mobile identity installed base, usage and revenues
    • Mobile biometrics installed base and usage
  • Regional splits for 8 key regions, as well as country level data splits given for:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • Finland
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Jordan
    • Kuwait
    • Malawi
    • Mexico
    • New Zealand
    • Nigeria
    • Norway
    • Peru
    • Portugal
    • Russia
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Turkey
    • UK
    • US
  • Interactive Scenario Tool allowing users to manipulate Juniper Research’s data for 10 different metrics.
  • Access to the full set of forecast data of 37 tables and over 6,000 datapoints.
Juniper Research’s highly granular interactive Excels enable clients to manipulate Juniper Research’s forecast data and charts to test their own assumptions using the Interactive Scenario Tool, and compare selected 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.
 
Regions:
8 Key Regions - includes North America, Latin America, West Europe, Central & East Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific and Africa & Middle East
 
Countries:
Australia, Brazil, Canada, China, Denmark, Finland, France, Germany, India, Italy, Japan, Jordan, South Korea, Kuwait, Malawi, Mexico, New Zealand, Nigeria, Norway, Peru, Portugal, Russian Federation, South Africa, Spain, Sweden, Turkey, UK, USA

 



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目次

Table of Contents

Deep Dive Strategy & Competition
1. Digital Identity: Connecting to You

1.1 Introduction . 7
Figure 1.1: Total Value of Fraudulent Transactions (€m), Split by eCommerce
Segment 2018-2023 . 7
1.2 Definitions & Scope . 8
1.2.1 Identity Tasks . 8
1.2.2 Forms of Digital Identity . 8
1.2.3 Digital Identity Technologies . 8

2. Digital Identity Verification

2.1 Market Trends Affecting Digital Identity . 10
2.1.1 Multiple Logins. 10
Figure 2.1: SAML Identification Process . 10
2.1.2 Data Breaches on the Rise. 11
2.1.3 National Single Sign-On Initiatives . 11
Figure 2.2: Specimen Estonian eID Card . 11
2.1.4 IoT Devices & Two-Factor Authentication . 12
2.1.5 Blockchain Hype . 12
Figure 2.3: Blockchain Venture Capital Investment & Bitcoin Value 2014-2019 YTD . 13
Case Study: KardiaChain . 14
2.2 Current Digital Identity Landscape . 14
2.2.1 Biometric Identifiers . 14
Figure 2.4: Smartphone Models Released with Fingerprint Sensors . 15
i. Multi-modal & Behavioural Biometrics . 16
ii. Biometrics-as-a-Service . 16
2.2.2 Federated Identity & Single Sign-On Solutions . 17
Figure 2.5: Social Login Platform Preference by Region . 17
i. MNO-Provided Identity . 18
Figure 2.6: Proportion of Mobile Subscribers using MSISDN for Single Sign-In
(%), Split by 8 Key Regions, 2019-2023 . 18
ii. CIAM (Customer Identity Access Management) . 18
2.2.3 Tokenised Identity . 19
i. Self-Sovereign Identity . 19
2.2.4 Who Controls the Data? . 20
2.2.5 IoT Identity . 20
i. Device Identity . 20
ii. IoT Device as Identifier . 21
Case Study: Nymi Wristband . 22
2.3 Digital Identity Technology Development . 23
2.3.1 Juniper Research Phased Evolution Model . 23
Figure 2.7: Juniper Research Phased Evolution Model for Digital Identity Technologies . 23
i. Federated Identity . 24
ii. Password/Login Managers . 24
iii. Self-Sovereign Identity . 25
iv. Document Verification Technologies . 26

3. Digital Identity Regional Analysis

3.1 Introduction . 29
3.2 North America . 29
3.2.1 Canada . 29
i. Regulation . 29
Figure 3.1: Pan-Canadian Trust Framework Model Visual Draft . 29
ii. Data Practices . 30
3.2.2 US . 30
i. Regulation . 30
ii. Data Practices . 31
3.3 Latin America . 32
3.3.1 Mexico . 32
i. Regulation . 32
ii. Data Practices . 32
3.3.2 Brazil . 33
i. Regulation . 33
ii. Data Practices . 33
3.3.3 Chile . 33
i. Regulation . 33
ii. Data Practices . 34
3.4 Europe. 34
3.4.1 The EU. 34
i. eIDAS . 34
ii. GDPR (General Data Protection Regulation) . 34
iii. PSD2 . 35
3.4.2 Estonia . 35
i. Regulation . 35
ii. Data Practices . 36
3.4.3 Germany . 36
i. Regulation . 36
ii. Data Practices . 36
3.4.4 Italy . 36
i. Regulation . 36
ii. Data Practices . 37
3.4.5 Nordic Countries . 37
i. Regulation . 37
ii. Data Practices . 37
3.4.6 Spain . 38
i. Regulation . 38
ii. Data Practices . 38
3.4.7 Turkey . 38
i. Regulation . 38
ii. Data Practices . 39
3.4.8 UK . 39
i. Regulation . 39
ii. Data Practices . 39
Figure 3.2: Gov.Verify Registrations (m), 2015-2018 . 39
3.5 Asia Pacific . 40
3.5.1 Australia . 40
i. Regulation . 40
ii. Data Practices . 41
3.5.2 China . 41
i. Regulation . 41
ii. Data Practices . 41
3.5.3 India. 42
i. Regulation . 42
ii. Data Practices . 42
3.5.4 Japan. 42
i. Regulation . 42
ii. Data Practices . 43
3.5.5 Singapore . 43
i. Regulation . 43
Figure 3.3: Singapore Trusted Data Sharing Framework Outline . 44
ii. Data Practices . 44
3.6 Africa & Middle East . 44
3.6.1 Kenya . 44
i. Regulation . 44
ii. Data Practices . 45
3.6.2 South Africa. 45
i. Regulation . 45
ii. Data Practices . 45
3.6.3 UAE . 46
i. Regulation . 46
ii. Data Practices . 46

4. Digital Identity Competitive Landscape

4.1 Introduction . 48
4.1.1 Player Analysis Criteria: Digital Identity Vendors . 48
Table 4.1: Digital Identity Vendor Capability Assessment Factors . 49
4.1.2 Stakeholder Analysis: Capability Assessment & Market Positioning . 50
Table 4.2: Juniper Research Digital Identity Providers Leaderboard Scoring
Matrix: Capability & Capacity vs Product & Position . 50
4.1.3 Juniper Research Leaderboard for Digital Identity . 51
Figure 4.3: Digital Identity Leaderboard . 51
4.1.4 Vendor Groupings & Conclusion . 52
i. Summary . 52
ii. Established Leaders . 52
iii. Leading Challengers . 52
iv. Disruptors & Emulators . 53
4.1.5 Limitations & Interpretation . 54
4.2 Digital Identity Movers & Shakers . 55
4.3 Provider Profiles . 57
4.3.1 Acuant . 57
i. Corporate . 57
ii. Geographic Spread . 57
iii. Key Clients & Strategic Partnerships . 57
iv. High Level View of Offerings . 57
Figure 4.4: Acuant Document Verification Process . 58
v. Juniper Research’s View: Key Strengths & Development Opportunities . 58
4.3.2 Callsign . 59
i. Corporate Profile . 59
ii. Geographic Spread . 59
iii. Key Clients & Strategic Partnerships . 59
iv. High-level View of Offerings . 59
v. Juniper Research’s View: Key Strengths & Development Opportunities . 60
4.3.3 Civic Technologies . 60
i. Corporate Profile. 60
ii. Geographical Locations . 60
iii. Key Clients & Strategic Partnerships . 60
iv. High-level View of Offerings . 60
v. Juniper Research’s View: Key Strengths & Development Opportunities . 61
4.3.4 Evernym . 61
i. Corporate Profile. 61
ii. Geographical Locations . 61
iii. Key Clients & Strategic Partnerships . 62
Figure 4.5: Evernym Accelerator Initial Partners . 62
iv. High-level View of Offerings . 62
v. Juniper Research’s View: Key Strengths & Development Opportunities . 62
4.3.5 Experian . 63
i. Corporate Profile. 63
Table 4.6: Experian Financial Snapshot (€m) FY 2016-2018 . 63
ii. Geographic Spread . 63
iii. Key Clients & Strategic Partnerships . 64
iv. High-level View of Offerings . 64
v. Juniper Research’s View: Experian Key Strengths & Strategic Development Opportunities . 65
4.3.6 Gemalto. 65
i. Corporate . 65
Table 4.7: Gemalto Financial Snapshot, (€m) 2016-2017 (FYE 31st December) . 66
ii. Geographic Spread . 66
iii. Key Clients & Strategic Partnerships . 66
iv. High Level View of Offerings . 67
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 67
4.3.7 Giesecke+Devrient . 67
i. Corporate . 67
Table 4.8: G+D Financial Snapshot, (€m) 2017-2018 (FYE 31st December) . 68
ii. Geographic Spread . 68
iii. Key Clients & Strategic Partnerships . 68
iv. High Level View of Offerings . 68
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 69
4.3.8 HYPR . 69
i. Corporate . 69
ii. Geographic Spread . 69
iii. Key Clients & Strategic Partnerships . 69
iv. High Level View of Offerings . 69
v. Juniper Research’s View: HYPR Key Strengths & Strategic Development Opportunities . 70
4.3.9 IBM . 70
i. Corporate . 70
Table 4.13: IBM Financial Snapshot (€m) 2016-2018 . 70
ii. Geographic Spread . 71
iii. Key Clients & Strategic Partnerships . 71
iv. High Level View of Offerings . 71
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 71
4.3.10 IDEMIA . 72
i. Corporate . 72
ii. Geographic Spread . 72
iii. Key Clients & Strategic Partnerships . 72
iv. High Level View of Offerings . 73
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 73
4.3.11 IdentityMind . 73
i. Corporate . 73
ii. Geographic Spread . 74
iii. Key Clients & Strategic Partnerships . 74
iv. High Level View of Offerings . 74
Figure 4.9: IdentityMind eDNA Profile Map . 74
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 75
4.3.12 Mitek . 75
i. Corporate . 75
Table 4.10: Mitek Annual Revenues ($ millions), FY 2017 & 2018 (YE September) . 75
ii. Geographic Spread . 76
iii. Key Clients & Strategic Partnerships . 76
iv. High Level View of Offerings . 76
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 76
4.3.13 Signicat . 77
i. Corporate . 77
ii. Geographic Spread . 77
iii. Key Clients & Strategic Partnerships . 77
iv. High Level View of Offerings . 77
Figure 4.11: Signicat-Digital Idenity Hub eIDs . 77
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 78

 

Deep Dive Data & Forecasting

1. Digital Identity Introduction & Methodology

1.1 Introduction . 3
Figure 1.1: Total Value of Fraudulent Transactions (€m), Split by eCommerce Segment 2018-2023 . 3
1.2 Definitions & Scope . 4
1.2.1 Identity Tasks . 4
1.2.2 Forms of Digital Identity . 4
1.2.3 Digital Identity Technologies . 5
1.3 Methodology & Assumptions . 5
Figure 1.2: Civic ID Forecast Methodology . 6
Figure 1.3: Digital ID Apps Forecast Methodology . 7
Figure 1.4: MSISDN-based Mobile ID Forecast Methodology . 8

2. Mobile Identity Forecasts

2.1 Introduction . 10
2.2 Digital Identity Apps in Use . 10
Figure & Table 2.1: Digital ID Apps in Use per annum (m), Split by 8 Key Regions, 2019-2024 . 10
2.2.1 Blockchain-based Digital Identity Apps . 11
Figure & Table 2.2: Blockchain-based Digital ID Apps in Use per annum (m), Split by 8 Key Regions, 2019-2024 . 11
2.3 MSISDN Single Sign-In . 12
Figure & Table 2.3: Number of Mobile Subscribers Using MSISDN for Single
Sign-In (m) Split by 8 Key Regions 2019-2024 . 12
2.4 Smartphone Biometrics . 13
Figure & Table 2.4: Total Smartphones Featuring Biometric Hardware, Installed Base (m), Split by 8 Key Regions 2019-2024 . 13

3. Civic Digital Identity Forecasts

3.1 Introduction . 15
3.2 Civic Digital Identity Documentation . 15
Figure & Table 3.1: Number of People with Digital Identity Documents (m), Split
by 8 Key Regions, 2019-2024 . 15
3.2.1 Civic Digital Identity Cards . 16
Figure & Table 3.2: Number of People with Civic Digital Identity Cards (m), Split
by 8 Key Regions, 2019-2024 . 16
3.2.2 Civic Digital Identity Apps . 17
Figure & Table 3.3: Number of People with Civic Digital Identity Apps (m), Split by
8 Key Regions, 2019-2024 . 17

 

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Summary

このレポートはデジタルアイデンティティ市場について調査し、用途や規制について言及しています。

セグメント別分析

  • 住民識別アプリ
  • デジタルIDカード
  • サードパーティー識別アプリ
  • モバイル識別のインストールベースの利用量と収益
  • モバイル生体認証のインストールベースと利用量

Overview

Juniper Research’s new report on the Digital Identity market provides an extensive guide to this rapidly moving and complex landscape. The research provides insights into the shape of the market across different regulatory regimes, technologies and use cases, as well as 5-year forecasts for the following key digital identity sectors:

  • Digital Identity Apps
  • Civic Digital Identity
  • Mobile Biometric Technologies
The report outlines the current state of the digital identity ecosystem, with viewpoints from a wide range of stakeholders across the industry. It also provides one of the most comprehensive guides available on the complex national and international regulatory landscape for digital identity, both currently and in the near future.

Readers will also be provided with valuable insights into vendors’ strategies and a fine-grained analysis of the current competitive landscape, supported by interviews with key vendors in the field.

The research suite comprises of:
  • Deep Dive Strategy & Competition (PDF)
  • Deep Dive Data and 5-Year Forecasting (PDF & Excel)
  • Executive Summary & Core Findings (PDF)
  • 12 months' access to harvest online data platform

Key Features

  • Market Trends: Detailed analyses of each digital identity segment, coupled with insights on market trends, limitations and future outlook. This analysis provides:
    • Market trends affecting digital identity
    • Current status of the digital identity market
    • Juniper Research Phased Evolution Model for the future of key digital identity technologies
  • Country Level Analysis: In-depth discussion on how legislation and cultural factors are impacting digital identity solution deployment across 23 key countries:
    • Argentina
    • Australia
    • Brazil
    • Canada
    • Chile
    • China
    • Denmark
    • Estonia
    • Finland
    • Germany
    • India
    • Italy
    • Japan
    • Kenya
    • Norway
    • Singapore
    • South Africa
    • Spain
    • Sweden
    • Turkey
    • UAE
    • UK
    • US
  • Juniper Research Leaderboard: 13 leading digital identity vendors compared, scored and positioned on the Juniper Research Leaderboard matrix, including:
    • Acuant
    • Callsign
    • Civic Technologies
    • Evernym
    • Experian
    • Gemalto
    • Giesecke+Devrient
    • HYPR
    • IBM
    • IDEMIA
    • IdentityMind
    • Mitek
    • Signicat
  • Benchmark Industry Forecasts: Data projections for:
    • Digital Identity User Base
    • Digital Identity Civic App User Base
    • Digital Identity Card User Base
    • Mobile Identity User Base
    • Mobile Identity Revenues
    • Mobile Biometrics User Base
  • Interviews: Leading vendors interviewed include:
    • Acuant
    • Callsign
    • Civic Technologies
    • Evernym
    • Experian
    • Gemalto
    • Giesecke+Devrient
    • HYPR
    • IBM
    • IDEMIA
    • IdentityMind
    • Mitek
    • Signicat

Key Questions

  1. What forms of digital identity will consumers use in the future?
  2. How successful will self-sovereign identity platforms be?
  3. What effect will regulations have on the digital identity market?
  4. How will identities be managed across an expanding Internet of Things?
  5. What are the leading companies’ strategies for developing digital identity?

Companies Referenced

Interviewed: Acuant, Callsign, Civic Technologies, Evernym, Experian, Gemalto, Giesecke+Devrient, HYPR, IBM, IDEMIA, IdentityMind, Mitek, Signicat.
 
 
Profiled: Acuant, Callsign, Civic Technologies, Evernym, Experian, Gemalto, Giesecke+Devrient, HYPR, IBM, IDEMIA, IdentityMind, Mitek, Signicat.
 
Case Studied: KardiaChain, Nymi.
 
Mentioned: 3M Cogent, 41st Parameter, A2iA Group, Advent International, Aetna CVS Health, Ant Financial, ASG Technologies, AssureTec Technologies, Australia Post, Avoka, BanQu, Binance, BioCatch, Bitpoint, Bittrex, BMO Bank of Montreal, Brave, Build38 GmbH, Bundesdruckerei, China Mobile, Civil Registry and Identification Service, CK Hutchison, Clicks2Customers, Congressional Radio and TV Correspondents Association, Credly, CULedger, CynjaTech, Danal, Daon, DIACC (Digital Identity & Authentication Council of Canada), Digital Transformation Agency, Emailage, Ericsson, E-Seek Holding Inc, Facebook, Finicity, First Citrus Bank, ForgeRock, Fremont Group, Funkwerk AG, Google, GSMA, Gyft, HyperLedger, Hyperwallet, ICA (Federal Authority for Identity and Citizenship), ICAR, IDnow, INAI (The National Institute of Transparency, Access to Information and Personal Data Protection), incuBeta Holdings, Instagram, JanusID, Johnson Controls, Koi Trading, LG&E Energy, Mastercard, McAfee, Mercari, Metlife, Microsoft, Motorola, Mount Airey, MyCelia, National Press Foundation, NatWest, Neustar, Newtown Partners (Pty) Ltd, NIST (National Institution of Standards and Technology), Nordic Capital, NP Energy, NuData Security, Oberthur Technologies, OneSpan, Pan-Canadian Trust, Paper Verify, Pearson VUE, Personal Data Protection Commission, PING Identity, PowerQuest/Symantec, PPC (Personal Information Protection Commission), Rakuten, RBC Royal Bank, RCI, Rivetz, SafeNet, Safran, Samsung, SecureKey, Sense About Science USA, Serco Group, Setec Oy, SI International, Silicon Cape Initiative, Skyrove, Sovrin Network and Foundation, Telefónica, Temenos, Tenneco Energy, Thales Group, The Blackstone Group, Three, TrafficSynergy, Trulioo, Turkcell, Uganda Security Printing Company, UIDAI (Unique Identification Authority of India), Unification, Veridos, Visa, W3C, WeChat, WhitePages Pro, Yola, ZOLOZ.
 

Data & Interactive Forecast

Juniper Research’s Digital Identity forecast suite includes projections in terms of digital identity adoption, users and, for mobile identity, revenues.
  • Segment-specific forecasts include:
    • Civic identity apps
    • Digital identity cards
    • Third party identity apps
    • Mobile identity installed base, usage and revenues
    • Mobile biometrics installed base and usage
  • Regional splits for 8 key regions, as well as country level data splits given for:
    • Australia
    • Brazil
    • Canada
    • China
    • Denmark
    • Finland
    • France
    • Germany
    • India
    • Italy
    • Japan
    • Jordan
    • Kuwait
    • Malawi
    • Mexico
    • New Zealand
    • Nigeria
    • Norway
    • Peru
    • Portugal
    • Russia
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Turkey
    • UK
    • US
  • Interactive Scenario Tool allowing users to manipulate Juniper Research’s data for 10 different metrics.
  • Access to the full set of forecast data of 37 tables and over 6,000 datapoints.
Juniper Research’s highly granular interactive Excels enable clients to manipulate Juniper Research’s forecast data and charts to test their own assumptions using the Interactive Scenario Tool, and compare selected 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.
 
Regions:
8 Key Regions - includes North America, Latin America, West Europe, Central & East Europe, Far East & China, Indian Subcontinent, Rest of Asia Pacific and Africa & Middle East
 
Countries:
Australia, Brazil, Canada, China, Denmark, Finland, France, Germany, India, Italy, Japan, Jordan, South Korea, Kuwait, Malawi, Mexico, New Zealand, Nigeria, Norway, Peru, Portugal, Russian Federation, South Africa, Spain, Sweden, Turkey, UK, USA

 



ページTOPに戻る


Table of Contents

Table of Contents

Deep Dive Strategy & Competition
1. Digital Identity: Connecting to You

1.1 Introduction . 7
Figure 1.1: Total Value of Fraudulent Transactions (€m), Split by eCommerce
Segment 2018-2023 . 7
1.2 Definitions & Scope . 8
1.2.1 Identity Tasks . 8
1.2.2 Forms of Digital Identity . 8
1.2.3 Digital Identity Technologies . 8

2. Digital Identity Verification

2.1 Market Trends Affecting Digital Identity . 10
2.1.1 Multiple Logins. 10
Figure 2.1: SAML Identification Process . 10
2.1.2 Data Breaches on the Rise. 11
2.1.3 National Single Sign-On Initiatives . 11
Figure 2.2: Specimen Estonian eID Card . 11
2.1.4 IoT Devices & Two-Factor Authentication . 12
2.1.5 Blockchain Hype . 12
Figure 2.3: Blockchain Venture Capital Investment & Bitcoin Value 2014-2019 YTD . 13
Case Study: KardiaChain . 14
2.2 Current Digital Identity Landscape . 14
2.2.1 Biometric Identifiers . 14
Figure 2.4: Smartphone Models Released with Fingerprint Sensors . 15
i. Multi-modal & Behavioural Biometrics . 16
ii. Biometrics-as-a-Service . 16
2.2.2 Federated Identity & Single Sign-On Solutions . 17
Figure 2.5: Social Login Platform Preference by Region . 17
i. MNO-Provided Identity . 18
Figure 2.6: Proportion of Mobile Subscribers using MSISDN for Single Sign-In
(%), Split by 8 Key Regions, 2019-2023 . 18
ii. CIAM (Customer Identity Access Management) . 18
2.2.3 Tokenised Identity . 19
i. Self-Sovereign Identity . 19
2.2.4 Who Controls the Data? . 20
2.2.5 IoT Identity . 20
i. Device Identity . 20
ii. IoT Device as Identifier . 21
Case Study: Nymi Wristband . 22
2.3 Digital Identity Technology Development . 23
2.3.1 Juniper Research Phased Evolution Model . 23
Figure 2.7: Juniper Research Phased Evolution Model for Digital Identity Technologies . 23
i. Federated Identity . 24
ii. Password/Login Managers . 24
iii. Self-Sovereign Identity . 25
iv. Document Verification Technologies . 26

3. Digital Identity Regional Analysis

3.1 Introduction . 29
3.2 North America . 29
3.2.1 Canada . 29
i. Regulation . 29
Figure 3.1: Pan-Canadian Trust Framework Model Visual Draft . 29
ii. Data Practices . 30
3.2.2 US . 30
i. Regulation . 30
ii. Data Practices . 31
3.3 Latin America . 32
3.3.1 Mexico . 32
i. Regulation . 32
ii. Data Practices . 32
3.3.2 Brazil . 33
i. Regulation . 33
ii. Data Practices . 33
3.3.3 Chile . 33
i. Regulation . 33
ii. Data Practices . 34
3.4 Europe. 34
3.4.1 The EU. 34
i. eIDAS . 34
ii. GDPR (General Data Protection Regulation) . 34
iii. PSD2 . 35
3.4.2 Estonia . 35
i. Regulation . 35
ii. Data Practices . 36
3.4.3 Germany . 36
i. Regulation . 36
ii. Data Practices . 36
3.4.4 Italy . 36
i. Regulation . 36
ii. Data Practices . 37
3.4.5 Nordic Countries . 37
i. Regulation . 37
ii. Data Practices . 37
3.4.6 Spain . 38
i. Regulation . 38
ii. Data Practices . 38
3.4.7 Turkey . 38
i. Regulation . 38
ii. Data Practices . 39
3.4.8 UK . 39
i. Regulation . 39
ii. Data Practices . 39
Figure 3.2: Gov.Verify Registrations (m), 2015-2018 . 39
3.5 Asia Pacific . 40
3.5.1 Australia . 40
i. Regulation . 40
ii. Data Practices . 41
3.5.2 China . 41
i. Regulation . 41
ii. Data Practices . 41
3.5.3 India. 42
i. Regulation . 42
ii. Data Practices . 42
3.5.4 Japan. 42
i. Regulation . 42
ii. Data Practices . 43
3.5.5 Singapore . 43
i. Regulation . 43
Figure 3.3: Singapore Trusted Data Sharing Framework Outline . 44
ii. Data Practices . 44
3.6 Africa & Middle East . 44
3.6.1 Kenya . 44
i. Regulation . 44
ii. Data Practices . 45
3.6.2 South Africa. 45
i. Regulation . 45
ii. Data Practices . 45
3.6.3 UAE . 46
i. Regulation . 46
ii. Data Practices . 46

4. Digital Identity Competitive Landscape

4.1 Introduction . 48
4.1.1 Player Analysis Criteria: Digital Identity Vendors . 48
Table 4.1: Digital Identity Vendor Capability Assessment Factors . 49
4.1.2 Stakeholder Analysis: Capability Assessment & Market Positioning . 50
Table 4.2: Juniper Research Digital Identity Providers Leaderboard Scoring
Matrix: Capability & Capacity vs Product & Position . 50
4.1.3 Juniper Research Leaderboard for Digital Identity . 51
Figure 4.3: Digital Identity Leaderboard . 51
4.1.4 Vendor Groupings & Conclusion . 52
i. Summary . 52
ii. Established Leaders . 52
iii. Leading Challengers . 52
iv. Disruptors & Emulators . 53
4.1.5 Limitations & Interpretation . 54
4.2 Digital Identity Movers & Shakers . 55
4.3 Provider Profiles . 57
4.3.1 Acuant . 57
i. Corporate . 57
ii. Geographic Spread . 57
iii. Key Clients & Strategic Partnerships . 57
iv. High Level View of Offerings . 57
Figure 4.4: Acuant Document Verification Process . 58
v. Juniper Research’s View: Key Strengths & Development Opportunities . 58
4.3.2 Callsign . 59
i. Corporate Profile . 59
ii. Geographic Spread . 59
iii. Key Clients & Strategic Partnerships . 59
iv. High-level View of Offerings . 59
v. Juniper Research’s View: Key Strengths & Development Opportunities . 60
4.3.3 Civic Technologies . 60
i. Corporate Profile. 60
ii. Geographical Locations . 60
iii. Key Clients & Strategic Partnerships . 60
iv. High-level View of Offerings . 60
v. Juniper Research’s View: Key Strengths & Development Opportunities . 61
4.3.4 Evernym . 61
i. Corporate Profile. 61
ii. Geographical Locations . 61
iii. Key Clients & Strategic Partnerships . 62
Figure 4.5: Evernym Accelerator Initial Partners . 62
iv. High-level View of Offerings . 62
v. Juniper Research’s View: Key Strengths & Development Opportunities . 62
4.3.5 Experian . 63
i. Corporate Profile. 63
Table 4.6: Experian Financial Snapshot (€m) FY 2016-2018 . 63
ii. Geographic Spread . 63
iii. Key Clients & Strategic Partnerships . 64
iv. High-level View of Offerings . 64
v. Juniper Research’s View: Experian Key Strengths & Strategic Development Opportunities . 65
4.3.6 Gemalto. 65
i. Corporate . 65
Table 4.7: Gemalto Financial Snapshot, (€m) 2016-2017 (FYE 31st December) . 66
ii. Geographic Spread . 66
iii. Key Clients & Strategic Partnerships . 66
iv. High Level View of Offerings . 67
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 67
4.3.7 Giesecke+Devrient . 67
i. Corporate . 67
Table 4.8: G+D Financial Snapshot, (€m) 2017-2018 (FYE 31st December) . 68
ii. Geographic Spread . 68
iii. Key Clients & Strategic Partnerships . 68
iv. High Level View of Offerings . 68
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 69
4.3.8 HYPR . 69
i. Corporate . 69
ii. Geographic Spread . 69
iii. Key Clients & Strategic Partnerships . 69
iv. High Level View of Offerings . 69
v. Juniper Research’s View: HYPR Key Strengths & Strategic Development Opportunities . 70
4.3.9 IBM . 70
i. Corporate . 70
Table 4.13: IBM Financial Snapshot (€m) 2016-2018 . 70
ii. Geographic Spread . 71
iii. Key Clients & Strategic Partnerships . 71
iv. High Level View of Offerings . 71
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 71
4.3.10 IDEMIA . 72
i. Corporate . 72
ii. Geographic Spread . 72
iii. Key Clients & Strategic Partnerships . 72
iv. High Level View of Offerings . 73
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 73
4.3.11 IdentityMind . 73
i. Corporate . 73
ii. Geographic Spread . 74
iii. Key Clients & Strategic Partnerships . 74
iv. High Level View of Offerings . 74
Figure 4.9: IdentityMind eDNA Profile Map . 74
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 75
4.3.12 Mitek . 75
i. Corporate . 75
Table 4.10: Mitek Annual Revenues ($ millions), FY 2017 & 2018 (YE September) . 75
ii. Geographic Spread . 76
iii. Key Clients & Strategic Partnerships . 76
iv. High Level View of Offerings . 76
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 76
4.3.13 Signicat . 77
i. Corporate . 77
ii. Geographic Spread . 77
iii. Key Clients & Strategic Partnerships . 77
iv. High Level View of Offerings . 77
Figure 4.11: Signicat-Digital Idenity Hub eIDs . 77
v. Juniper Research’s View: Key Strengths & Strategic Development Opportunities . 78

 

Deep Dive Data & Forecasting

1. Digital Identity Introduction & Methodology

1.1 Introduction . 3
Figure 1.1: Total Value of Fraudulent Transactions (€m), Split by eCommerce Segment 2018-2023 . 3
1.2 Definitions & Scope . 4
1.2.1 Identity Tasks . 4
1.2.2 Forms of Digital Identity . 4
1.2.3 Digital Identity Technologies . 5
1.3 Methodology & Assumptions . 5
Figure 1.2: Civic ID Forecast Methodology . 6
Figure 1.3: Digital ID Apps Forecast Methodology . 7
Figure 1.4: MSISDN-based Mobile ID Forecast Methodology . 8

2. Mobile Identity Forecasts

2.1 Introduction . 10
2.2 Digital Identity Apps in Use . 10
Figure & Table 2.1: Digital ID Apps in Use per annum (m), Split by 8 Key Regions, 2019-2024 . 10
2.2.1 Blockchain-based Digital Identity Apps . 11
Figure & Table 2.2: Blockchain-based Digital ID Apps in Use per annum (m), Split by 8 Key Regions, 2019-2024 . 11
2.3 MSISDN Single Sign-In . 12
Figure & Table 2.3: Number of Mobile Subscribers Using MSISDN for Single
Sign-In (m) Split by 8 Key Regions 2019-2024 . 12
2.4 Smartphone Biometrics . 13
Figure & Table 2.4: Total Smartphones Featuring Biometric Hardware, Installed Base (m), Split by 8 Key Regions 2019-2024 . 13

3. Civic Digital Identity Forecasts

3.1 Introduction . 15
3.2 Civic Digital Identity Documentation . 15
Figure & Table 3.1: Number of People with Digital Identity Documents (m), Split
by 8 Key Regions, 2019-2024 . 15
3.2.1 Civic Digital Identity Cards . 16
Figure & Table 3.2: Number of People with Civic Digital Identity Cards (m), Split
by 8 Key Regions, 2019-2024 . 16
3.2.2 Civic Digital Identity Apps . 17
Figure & Table 3.3: Number of People with Civic Digital Identity Apps (m), Split by
8 Key Regions, 2019-2024 . 17

 

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