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市場調査レポート

プライバシービジネス:プライバシーの問題は如何にしてインターネットビジネスモデルへ影響を及ぼすか

Privacy Business: How Will Privacy Issues Affect Internet Business Models

発行 IDATE DigiWorld 商品コード 351056
出版日 ページ情報 英文 73 Pages
納期: 即日から翌営業日
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プライバシービジネス:プライバシーの問題は如何にしてインターネットビジネスモデルへ影響を及ぼすか Privacy Business: How Will Privacy Issues Affect Internet Business Models
出版日: 2016年01月29日 ページ情報: 英文 73 Pages
概要

当レポートでは、プライバシーおよびパーソナルデータ保護のコンセプトに関連した問題について調査しており、近年の規制発展、技術、および市場における新たなサービスの最新動向などについて、分析しています。

第1章 エグゼクティブサマリー

第2章 調査手法

第3章 課題・主要因

  • プライバシービジネスの促進因子
  • プライバシーの保護およびデジタル世界における信頼
  • 信頼のエコシステム (信頼の輪)
  • 現在の規制環境が果たす重要な役割

第4章 プライバシーおよびパーソナルデータ経済の特徴

  • パーソナルデータ・プライバシーにどのような価値を置けるか
  • マーケティングコンセプト・戦略の発展の仕方

第5章 技術・サービス

  • ユーザーデータの匿名化
  • 良い「フォームファクター」を探す特定ツール
  • 特定目的の行動分析
  • プラットフォームおよびID Federation
  • パーソナルクラウド
  • 世界的なビジョンに目を向ける

第6章 サービス:プライバシー管理サービスの類型学

  • ユーザーのパーソナルデータ保護・管理でユーザーに役立つ
  • ユーザーの生活管理に役立つ
  • ユーザーの行動、情報に基づいた計画、および正しい決定に役立つ

第7章 ブランド戦略・市場メーカー

  • パーソナルデータ向けGAFA戦略
  • ビジネス戦略 (B2C)

図表リスト

目次
Product Code: M15196MR

Privacy protection and use of personal data are central issues in how the Internet is being used. In an economy where data is the 'new oil', personal data is a highly valuable resource.

This study summarizes the issues related to the concept of privacy and personal data protection addresses the question of putting a value on data. It describes recent regulatory developments in the field.

We analyse the technology behind digital trust platforms before presenting an overview of the solutions being used and considered for implementing services. Then we illustrate the latest trends for new services on the market.

A SWOT analysis for GAFA and other businesses is then provided before proposing three scenarios for the service approach businesses may take.

Table of Contents

Executive Summary

2. Methodology & definitions

  • 2.1. General methodology of IDATE's reports
  • 2.2. Methodology specific to this report
  • 2.3. Definitions

3. Issues and key factors

  • 3.1. Drivers of the privacy business
  • 3.2. Protection of privacy and trust in the digital world
    • 3.2.1. Trust, a fuzzy but essential data component
    • 3.2.2. How are trust relationships in the 2.0 world?
  • 3.3. The trust ecosystem (circle of trust)
    • 3.3.1. Trust is a process
    • 3.3.2. Roles in the trust chain
    • 3.3.3. Trust relationships between players
  • 3.4. Important role played by the current regulatory environment
    • 3.4.1. Impact of the regulatory framework on market structure
    • 3.4.2. Focus on European personal data protection regulations
    • 3.4.3. European electronic identification regulations: eIDAS
    • 3.4.4. United States

4. Characteristics of the privacy and personal data economy

  • 4.1. What value can be placed on personal data and privacy?
    • 4.1.1. Approaches to putting a price on personal data
    • 4.1.2. Creating value from protecting privacy
    • 4.1.3. Consumer push-back and economic inefficiency
    • 4.1.4. The clear loss of trust in the system is leading to a paradoxical situation
  • 4.2. How marketing concepts and strategies are evolving

5. Technologies and services

  • 5.1. De-identifying user data
  • 5.2. Identity tools looking for a good 'form-factor'
  • 5.3. Behavioural analysis for identification purposes
  • 5.4. Platforms and identity federation
  • 5.5. The personal cloud
    • 5.5.1. Personal Data Stores (PDS)
    • 5.5.2. Privacy Trust Frameworks
    • 5.5.3. The promise of the Life Management Platforms (LMP)
  • 5.6. Looking towards a global vision

6. The offering: typology of privacy management services

  • 6.1. Helping users protect and manage their personal data
  • 6.2. Helping users manage their daily lives
  • 6.3. Helping users to act, be better informed, plan and make the right decisions

7. Brand strategies and market-makers

  • 7.1. GAFA strategies for personal data
    • 7.1.1. Overview: GAFA's strategic positioning in relation to market developments and the personal data protection issue
    • 7.1.2. Two models up against each other on the ground
    • 7.1.3. An intermediate model: Microsoft
  • 7.2. Business strategies (B2C)
    • 7.2.1. Overview: strategic positioning (B2C) in relation to market developments and the personal data protection issue
    • 7.2.2. Example scenarios
    • 7.2.3. Focus on banks and insurance companies
    • 7.2.4. Focus on telecom operators

List of Tables

  • Table 1: Basic dimensions to trust with regard to personal data
  • Table 2: Key principles for protecting personal data in France
  • Table 3: Use cases for collecting attributes in real time
  • Table 4: French regulatory principles
  • Table 5: What will change in the European regulations on privacy protection
  • Table 6: Major FTC regulations by area
  • Table 7: FTC's sector regulation
  • Table 8: Approaches to personal data valuation put forward by the OECD
  • Table 9: Changes in behaviours are changing the game
  • Table 10: Overview of biometric contact points
  • Table 11: Software contact point examples
  • Table 12: What's involved with behavioural analysis
  • Table 13: Examples of public identity federation initiatives
  • Table 14: Main benefits of Customer Identity Management Platforms
  • Table 15: Main features of Customer Identity Management Platforms
  • Table 16: Privacy technology platform classification
  • Table 17: Examples of PDS players
  • Table 18: GAFA's fundamental strategies
  • Table 19: SWOT analysis of GAFA's positioning in relation to market developments and the personal data protection issue
  • Table 20: SWOT analysis of strategic positioning (B2C) in relation to market developments and the personal data protection issue
  • Table 21: Possible action scenarios for businesses 65

List of Figures

  • Figure 1: Breakdown of time spent on the Internet, January 2015
  • Figure 2: Confidence levels of Americans towards their service providers
  • Figure 3: Security concerns in the cloud's infrastructure layers, according to Amazon Web Services
  • Figure 4: Digital trust ecosystem
  • Figure 5: Reputation attributes of BlaBlaCar
  • Figure 6: Security market share in the Alexa top 1M websites
  • Figure 7: Overview of trust environments
  • Figure 8: Example of a commercial e-Signature trust service
  • Figure 9: Trade-offs weighed by users in exchange for their personal data
  • Figure 10: Subjective valuation of personal data
  • Figure 11: GlobalWebindex survey
  • Figure 12: Mapping different marketing strategies
  • Figure 13: Intent marketing according to Gigya
  • Figure 14: The power of 'micro-moments' according to Google
  • Figure 15: Keys to a winning relationship marketing culture
  • Figure 16: Positioning of Vendor Relationship Management
  • Figure 17: Overview of authentication methods
  • Figure 18: Example of a multi-method enterprise platform
  • Figure 19: Social login market shares as of 15/11/2015
  • Figure 20: A Customer Identity Management Platform
  • Figure 21: The Personal Data Store concept
  • Figure 22: PDS examples (Personal, Meeco)
  • Figure 23: Implementation of Privacy-by-Design principles by Safe-BioPharma
  • Figure 24: Mydex (United Kingdom)
  • Figure 25: Illustration of a Life Management Platform
  • Figure 26: Key principles of controlled information sharing
  • Figure 27: A Life Management Platform governance framework
  • Figure 28: MyPermissions
  • Figure 29: Blue Button apps by Humetrix
  • Figure 30: digi.me
  • Figure 31: Comparison of the personal assistants of GAFA
  • Figure 32: EasilyDo
  • Figure 33: Gocompare
  • Figure 34: CTRLio
  • Figure 35: PatientsLikeMe
  • Figure 36: OptimizeMe
  • Figure 37: Apple's model vs the Google/Amazon/Facebook model
  • Figure 38: Microsoft's big picture
  • Figure 39: Microsoft's HeathVault
  • Figure 40: Spout
  • Figure 41: Mobile Connect
  • Figure 42: ARPU contribution related to identity for MNOs

List of players examined / mentionned

  • Amazon
  • Apple
  • Box.com
  • CozyCloud
  • CTRLio
  • Dashlane
  • Digi.me
  • Dropbox
  • EasilyDo
  • Equifax
  • Exostar
  • Experian
  • France Connect
  • Garmin
  • Gigya
  • GoCompare.com
  • Google
  • Humetrix
  • ID.me
  • inWebo
  • Janrain
  • La Poste
  • LastPass
  • LoginRadius
  • Meeco
  • Microsoft
  • Mydex
  • MyPermissions
  • Mywave
  • Only-Once
  • Optimize.me
  • PatientsLikeMe
  • Personal
  • QYI
  • Respect Network
  • SAFE-BioPharma
  • Securekey Technologies
  • UnboundID
  • Voluntis

Slideshow contents

  • Drivers of change
  • New rules regarding user relationships
  • How the legal landscape evolves is crucial
  • Underlying technologies
  • The value proposition and applications
  • Helping users protect and manage their personal data
  • Helping users manage their daily lives
  • Helping users to act, be better informed, plan and make the right decisions
  • Strategic issues for GAFA (SWOT)
  • Strategic issues for businesses (SWOT)
  • Opportunities
  • Trust doesn't grow on trees: it is a process
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