Decentralized Identity Market by Identity Type, End-user, Organization Size, Vertical and Region – Global Forecast to 2027
The decentralized identity market size is projected to grow from
The major factor that has driven demand for this market is the inefficiency of existing identity management practices and rising instances of security breaches.
By Identity type, the biometrics decentralized identity to register the highest growth rate during the forecast period
Based on identity types, the decentralized identity market is further classified into non-biometrics and biometrics. Decentralized identity solutions are expected to evolve from use of non-biometric identities to biometrics-based identities, such as fingerprint, facial, handprint, and voice recognition. Biometrics are unique for every individual and can be used for more specific identity verification processes.
Such identities are comparatively more secure than conventional non-biometric solutions. Since biometrics binds an identity to a credential and an individual, it is expected to be used by individuals as well as enterprises for verifying their identities in the coming future; this will require the use of decentralized identity solutions for efficient management and handling of the sensitive biometric credential data of individuals. The biometrics subsegment is expected to record a faster CAGR in the decentralized identity market due to increasing demand from customers for secure onboarding, compliance management, and fraud prevention.
By end user, the individual user segment is expected to hold the largest market size during the forecast period
Based on end user, the decentralized identity market is divided into two categories: individual and enterprise. The individual subsegment includes decentralized identity created and used by individuals for creating and keeping their identities as well as using the same for verifying and authenticating themselves for various purposes. Decentralized identity is one of the most promising new approaches to Identity and Access Management (IAM).
According to Thoughtworks, in a decentralized identity system, entities such as individuals gain control over their identities and allow trusted interactions. The biggest advantage of using this approach is that it enables individuals to share different parts of their identity with different services as per their need. For example, the depth of details provided to a health insurer will not be completely shared with a mortgage provider.
By using decentralized identity, individuals can share required verification entities with the verifiers. The decentralized identity system includes a single system that enables individuals to authenticate themselves with multiple entities. It has become pretty common to create an account to access various services such as social media, purchase of train/flight tickets, manage bank accounts, and access health services.
For some of these services, individuals only need to present a few identifiers, such as name, date of birth, and email. For others, identifiers must be verified to a certain level of assurance to make sure an individual is who he claims to be. An individual could also be verified through driver's license, passport, tax ID number, etc.
Key Topics Covered:
1 Introduction
2 Research Methodology
3 Executive Summary
4 Premium Insights
4.1 Brief Overview of Market
4.2 Market, by Identity Type, 2022-2027
4.3 Market, by End-user, 2022-2027
4.4 Market Investment Scenario, by Region
5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Rising Instances of Security Breaches and Identity Related Fraud
5.2.1.2 End-User Advantage of Retaining Full Control Over Use of Identities
5.2.1.3 Inefficiency of Existing Identity Management Practices
5.2.2 Restraints
5.2.2.1 Uncertain Regulatory Status and Lack of Common Set of Standards
5.2.3 Opportunities
5.2.3.1 Extensive Applications of Blockchain Identity Solutions in Banking, Cybersecurity and IoT
5.2.3.2 Emergence and Increasing Adoption of Ssis
5.2.4 Challenges
5.2.4.1 Lack of Technical Knowledge and Understanding of Blockchain Concept
5.3 Value Chain
5.4 Ecosystem: Decentralized Identity
5.5 Technology Analysis
5.5.1 Artificial Intelligence
5.5.2 Blockchain
5.5.3 Types of Blockchain Technology
5.5.3.1 Private Blockchain
5.5.3.2 Public Blockchain
5.6 Patent Analysis
5.7 Trends and Disruptions Impacting Customers
5.8 Porters Five Forces Analysis
5.9 Tariff and Regulatory Landscape
5.9.1 Regulatory Bodies, Government Agencies and Other Organizations
5.9.2 Payment Card Industry-Data Security Standard (Pci-Dss)
5.9.3 Health Insurance Portability and Accountability Act (Hipaa)
5.9.4 Know Your Customer (Kyc)
5.9.5 Anti-Money Laundering
5.10 Use Cases
5.10.1 Use Case: Bloksec
5.10.2 Use Case: Digital Permanent Resident Card
5.10.3 Use Case: Public Authority Identity Credentials
5.11 Key Conferences & Events in 2022-2023
6 Decentralized Identity Market, by Identity Type
6.1 Introduction
6.2 Non-Biometrics
6.2.1 Non-Biometrics: Market Drivers
6.3 Biometrics
6.3.1 Biometrics: Market Drivers
7 Decentralized Identity Market, by End-user
7.1 Introduction
7.2 Individual
7.2.1 Individual: Market Drivers
7.3 Enterprise
7.3.1 Enterprise: Market Drivers
8 Decentralized Identity Market, by Organization Size
8.1 Introduction
8.2
8.2.1
8.3 SMEs
8.3.1 SMEs: Market Drivers
9 Decentralized Identity Market, by Vertical
9.1 Introduction
9.2 Bfsi
9.2.1 Bfsi: Market Drivers
9.3 Government
9.3.1 Government: Market Drivers
9.4 Healthcare and Life Sciences
9.4.1 Healthcare and Life Sciences: Market Drivers
9.5 Telecom and It
9.5.1 Telecom and It: Market Drivers
9.6 Retail and E-Commerce
9.6.1 Retail and E-Commerce: Decentralized Identity Market Drivers
9.7 Transport and Logistics
9.7.1 Transport and Logistics: Market Drivers
9.8 Real Estate
9.8.1 Real Estate: Market Drivers
9.9
9.9.1
9.10 Others
10 Decentralized Identity Market by Region
11 Competitive Landscape
11.1 Overview
11.2 Market Evaluation Framework
11.3 Revenue Analysis of Leading Players
11.4 Company Evaluation Matrix
11.4.1 Company Evaluation Matrix Definitions and Methodology
11.5 Competitive Leadership Mapping
11.5.1 Stars
11.5.2 Emerging Leaders
11.5.3 Pervasive Players
11.5.4 Participants
11.6 Company Product Footprint Analysis
11.7 Competitive Leadership Mapping for Start-Ups
11.7.1 Progressive Companies
11.7.2 Responsive Companies
11.7.3 Dynamic Companies
11.7.4 Starting Blocks
11.8 Competitive Benchmarking for Start-Ups
11.8.1 Decentralized Identity: Start-Ups/Smes
11.8.2 Decentralized Identity: Competitive Benchmarking of Start-Ups/SMEs
12 Company Profiles
12.1 Introduction
12.2 Key Players
12.2.1 Microsoft
12.2.2 Accenture
12.2.3 Persistent
12.2.4 Wipro
12.2.5
12.2.6 R3
12.2.7 Avast
12.2.8 Validated Id
12.2.9 Serto
12.3 Startup/SME
12.3.1 1Kosmos
12.3.2 Affinidi
12.3.3 Hu-Manity
12.3.4 Selfkey
13 Adjacent/Related Markets
14 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/if53u4
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