Global Decentralized Identifiers Market

Decentralized Identifiers Comprehensive Study by Type (Private DIDs, Public DIDs), Application (Finance, Government, Healthcare, Others), End User (Enterprise, Individual) Players and Region - Global Market Outlook to 2028

Decentralized Identifiers Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Decentralized Identifiers Market Overview:
Decentralized Identifier (DID) is a new kind of identifier that is globally unique, resolvable with excessive availability, and cryptographically verifiable. DIDs are generally related with cryptographic material, such as public keys, and provider endpoints, for organising impervious conversation channels. DIDs are beneficial for any software that advantages from self-administered, cryptographically verifiable identifiers such as non-public identifiers, organizational identifiers, and identifiers for Internet of Things scenarios. For example, cutting-edge industrial deployments of W3C Verifiable Credentials closely make use of Decentralized Identifiers to become aware of people, organizations, and matters and to obtain a variety of protection and privacy-protecting guarantees. This file is an introduction to the idea of Decentralized Identifiers.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Million)
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Maintaining Privacy and Control of Their Own Data Is Of Paramount Importance to Web Users and Privacy-Preserving Commercial Models for Digital Identity Exchange Could Radically Accelerate the Adoption of Self-Sovereign Identity

Market Growth Drivers:
Accumulative Number of Data Breaches, Developing Need of Non-Human Digital IDs and Security in Consumer Goods and Establishment of Consortiums and Associations

Challenges:
Block Chain Performance

Restraints:
Interoperability among the Identity System and Absence of Regulatory Guidelines and Standardization

Opportunities:
Integration of Blockchain in Decentralized Identity and Evolving Need for Smart Contracts

Competitive Landscape:
The market is seeing moderate market players, by seeing huge growth in this market the key leading vendors are highly focusing towards the production technologies, efficiency enhancement and product life. There is various growth opportunity in this market which is captured by leading players via tracking the ongoing process enhancement and huge invest in market growth strategies.
Some of the key players profiled in the report are Transmute (United States), Consensys (United States), uPort (United States), IBM (United States), Tykn Tech (Netherlands), Blockstack (United States), Danube Tech (Austria), Trinsic (United States), Spherity (Germany) and Microsoft (United States). Additionally, following companies can also be profiled that are part of our coverage like 3box (United States), Meeco (Australia), MATTR (New Zealand) and Jolocom (Germany). Analyst at AMA Research see United States Players to retain maximum share of Global Decentralized Identifiers market by 2028. Considering Market by End User, the sub-segment i.e. Enterprise will boost the Decentralized Identifiers market.

Latest Market Insights:
In 2021, Microsoft work in partnership with Onfido for fast and secure identity verification and onboarding for its Azure Active Directory (Azure AD) verifiable credentials

In February 2023, ConsenSys acquired HAL, no-code blockchain development tooling platform that helps individuals and organizations query and automate blockchain data. With this acquisition company extend capabilities in its developer stack by using the strong configurable webhooks/notification service built by HAL. This acquisition helped company to strengthened its presence in decentralized identifiers market

What Can be Explored with the Decentralized Identifiers Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Decentralized Identifiers Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Decentralized Identifiers
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Decentralized Identifiers market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Decentralized Identifiers market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Type
  • Private DIDs
  • Public DIDs
By Application
  • Finance
  • Government
  • Healthcare
  • Others
By End User
  • Enterprise
  • Individual

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Accumulative Number of Data Breaches
      • 3.2.2. Developing Need of Non-Human Digital IDs and Security in Consumer Goods
      • 3.2.3. Establishment of Consortiums and Associations
    • 3.3. Market Challenges
      • 3.3.1. Block Chain Performance
    • 3.4. Market Trends
      • 3.4.1. Maintaining Privacy and Control of Their Own Data Is Of Paramount Importance to Web Users
      • 3.4.2. Privacy-Preserving Commercial Models for Digital Identity Exchange Could Radically Accelerate the Adoption of Self-Sovereign Identity
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Decentralized Identifiers, by Type, Application, End User and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Decentralized Identifiers (Value)
      • 5.2.1. Global Decentralized Identifiers by: Type (Value)
        • 5.2.1.1. Private DIDs
        • 5.2.1.2. Public DIDs
      • 5.2.2. Global Decentralized Identifiers by: Application (Value)
        • 5.2.2.1. Finance
        • 5.2.2.2. Government
        • 5.2.2.3. Healthcare
        • 5.2.2.4. Others
      • 5.2.3. Global Decentralized Identifiers by: End User (Value)
        • 5.2.3.1. Enterprise
        • 5.2.3.2. Individual
      • 5.2.4. Global Decentralized Identifiers Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Australia
          • 5.2.4.2.6. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Decentralized Identifiers: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Transmute (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. Consensys (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. UPort (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. IBM (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Tykn Tech (Netherlands)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Blockstack (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Danube Tech (Austria)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Trinsic (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Spherity (Germany)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Microsoft (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Decentralized Identifiers Sale, by Type, Application, End User and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Decentralized Identifiers (Value)
      • 7.2.1. Global Decentralized Identifiers by: Type (Value)
        • 7.2.1.1. Private DIDs
        • 7.2.1.2. Public DIDs
      • 7.2.2. Global Decentralized Identifiers by: Application (Value)
        • 7.2.2.1. Finance
        • 7.2.2.2. Government
        • 7.2.2.3. Healthcare
        • 7.2.2.4. Others
      • 7.2.3. Global Decentralized Identifiers by: End User (Value)
        • 7.2.3.1. Enterprise
        • 7.2.3.2. Individual
      • 7.2.4. Global Decentralized Identifiers Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Australia
          • 7.2.4.2.6. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Decentralized Identifiers: by Type(USD Million)
  • Table 2. Decentralized Identifiers Private DIDs , by Region USD Million (2017-2022)
  • Table 3. Decentralized Identifiers Public DIDs , by Region USD Million (2017-2022)
  • Table 4. Decentralized Identifiers: by Application(USD Million)
  • Table 5. Decentralized Identifiers Finance , by Region USD Million (2017-2022)
  • Table 6. Decentralized Identifiers Government , by Region USD Million (2017-2022)
  • Table 7. Decentralized Identifiers Healthcare , by Region USD Million (2017-2022)
  • Table 8. Decentralized Identifiers Others , by Region USD Million (2017-2022)
  • Table 9. Decentralized Identifiers: by End User(USD Million)
  • Table 10. Decentralized Identifiers Enterprise , by Region USD Million (2017-2022)
  • Table 11. Decentralized Identifiers Individual , by Region USD Million (2017-2022)
  • Table 12. South America Decentralized Identifiers, by Country USD Million (2017-2022)
  • Table 13. South America Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 14. South America Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 15. South America Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 16. Brazil Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 17. Brazil Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 18. Brazil Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 19. Argentina Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 20. Argentina Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 21. Argentina Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 22. Rest of South America Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 23. Rest of South America Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 24. Rest of South America Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 25. Asia Pacific Decentralized Identifiers, by Country USD Million (2017-2022)
  • Table 26. Asia Pacific Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 27. Asia Pacific Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 28. Asia Pacific Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 29. China Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 30. China Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 31. China Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 32. Japan Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 33. Japan Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 34. Japan Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 35. India Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 36. India Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 37. India Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 38. South Korea Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 39. South Korea Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 40. South Korea Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 41. Australia Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 42. Australia Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 43. Australia Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 44. Rest of Asia-Pacific Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 45. Rest of Asia-Pacific Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 46. Rest of Asia-Pacific Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 47. Europe Decentralized Identifiers, by Country USD Million (2017-2022)
  • Table 48. Europe Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 49. Europe Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 50. Europe Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 51. Germany Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 52. Germany Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 53. Germany Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 54. France Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 55. France Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 56. France Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 57. Italy Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 58. Italy Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 59. Italy Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 60. United Kingdom Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 61. United Kingdom Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 62. United Kingdom Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 63. Netherlands Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 64. Netherlands Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 65. Netherlands Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 66. Rest of Europe Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 67. Rest of Europe Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 68. Rest of Europe Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 69. MEA Decentralized Identifiers, by Country USD Million (2017-2022)
  • Table 70. MEA Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 71. MEA Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 72. MEA Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 73. Middle East Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 74. Middle East Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 75. Middle East Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 76. Africa Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 77. Africa Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 78. Africa Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 79. North America Decentralized Identifiers, by Country USD Million (2017-2022)
  • Table 80. North America Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 81. North America Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 82. North America Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 83. United States Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 84. United States Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 85. United States Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 86. Canada Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 87. Canada Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 88. Canada Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 89. Mexico Decentralized Identifiers, by Type USD Million (2017-2022)
  • Table 90. Mexico Decentralized Identifiers, by Application USD Million (2017-2022)
  • Table 91. Mexico Decentralized Identifiers, by End User USD Million (2017-2022)
  • Table 92. Company Basic Information, Sales Area and Its Competitors
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Decentralized Identifiers: by Type(USD Million)
  • Table 103. Decentralized Identifiers Private DIDs , by Region USD Million (2023-2028)
  • Table 104. Decentralized Identifiers Public DIDs , by Region USD Million (2023-2028)
  • Table 105. Decentralized Identifiers: by Application(USD Million)
  • Table 106. Decentralized Identifiers Finance , by Region USD Million (2023-2028)
  • Table 107. Decentralized Identifiers Government , by Region USD Million (2023-2028)
  • Table 108. Decentralized Identifiers Healthcare , by Region USD Million (2023-2028)
  • Table 109. Decentralized Identifiers Others , by Region USD Million (2023-2028)
  • Table 110. Decentralized Identifiers: by End User(USD Million)
  • Table 111. Decentralized Identifiers Enterprise , by Region USD Million (2023-2028)
  • Table 112. Decentralized Identifiers Individual , by Region USD Million (2023-2028)
  • Table 113. South America Decentralized Identifiers, by Country USD Million (2023-2028)
  • Table 114. South America Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 115. South America Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 116. South America Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 117. Brazil Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 118. Brazil Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 119. Brazil Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 120. Argentina Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 121. Argentina Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 122. Argentina Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 123. Rest of South America Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 124. Rest of South America Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 125. Rest of South America Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 126. Asia Pacific Decentralized Identifiers, by Country USD Million (2023-2028)
  • Table 127. Asia Pacific Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 128. Asia Pacific Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 129. Asia Pacific Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 130. China Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 131. China Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 132. China Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 133. Japan Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 134. Japan Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 135. Japan Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 136. India Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 137. India Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 138. India Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 139. South Korea Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 140. South Korea Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 141. South Korea Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 142. Australia Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 143. Australia Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 144. Australia Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 145. Rest of Asia-Pacific Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 146. Rest of Asia-Pacific Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 147. Rest of Asia-Pacific Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 148. Europe Decentralized Identifiers, by Country USD Million (2023-2028)
  • Table 149. Europe Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 150. Europe Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 151. Europe Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 152. Germany Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 153. Germany Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 154. Germany Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 155. France Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 156. France Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 157. France Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 158. Italy Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 159. Italy Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 160. Italy Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 161. United Kingdom Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 162. United Kingdom Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 163. United Kingdom Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 164. Netherlands Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 165. Netherlands Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 166. Netherlands Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 167. Rest of Europe Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 168. Rest of Europe Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 169. Rest of Europe Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 170. MEA Decentralized Identifiers, by Country USD Million (2023-2028)
  • Table 171. MEA Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 172. MEA Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 173. MEA Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 174. Middle East Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 175. Middle East Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 176. Middle East Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 177. Africa Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 178. Africa Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 179. Africa Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 180. North America Decentralized Identifiers, by Country USD Million (2023-2028)
  • Table 181. North America Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 182. North America Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 183. North America Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 184. United States Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 185. United States Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 186. United States Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 187. Canada Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 188. Canada Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 189. Canada Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 190. Mexico Decentralized Identifiers, by Type USD Million (2023-2028)
  • Table 191. Mexico Decentralized Identifiers, by Application USD Million (2023-2028)
  • Table 192. Mexico Decentralized Identifiers, by End User USD Million (2023-2028)
  • Table 193. Research Programs/Design for This Report
  • Table 194. Key Data Information from Secondary Sources
  • Table 195. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Decentralized Identifiers: by Type USD Million (2017-2022)
  • Figure 5. Global Decentralized Identifiers: by Application USD Million (2017-2022)
  • Figure 6. Global Decentralized Identifiers: by End User USD Million (2017-2022)
  • Figure 7. South America Decentralized Identifiers Share (%), by Country
  • Figure 8. Asia Pacific Decentralized Identifiers Share (%), by Country
  • Figure 9. Europe Decentralized Identifiers Share (%), by Country
  • Figure 10. MEA Decentralized Identifiers Share (%), by Country
  • Figure 11. North America Decentralized Identifiers Share (%), by Country
  • Figure 12. Global Decentralized Identifiers share by Players 2022 (%)
  • Figure 13. Global Decentralized Identifiers share by Players (Top 3) 2022(%)
  • Figure 14. Global Decentralized Identifiers share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Transmute (United States) Revenue, Net Income and Gross profit
  • Figure 17. Transmute (United States) Revenue: by Geography 2022
  • Figure 18. Consensys (United States) Revenue, Net Income and Gross profit
  • Figure 19. Consensys (United States) Revenue: by Geography 2022
  • Figure 20. UPort (United States) Revenue, Net Income and Gross profit
  • Figure 21. UPort (United States) Revenue: by Geography 2022
  • Figure 22. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 23. IBM (United States) Revenue: by Geography 2022
  • Figure 24. Tykn Tech (Netherlands) Revenue, Net Income and Gross profit
  • Figure 25. Tykn Tech (Netherlands) Revenue: by Geography 2022
  • Figure 26. Blockstack (United States) Revenue, Net Income and Gross profit
  • Figure 27. Blockstack (United States) Revenue: by Geography 2022
  • Figure 28. Danube Tech (Austria) Revenue, Net Income and Gross profit
  • Figure 29. Danube Tech (Austria) Revenue: by Geography 2022
  • Figure 30. Trinsic (United States) Revenue, Net Income and Gross profit
  • Figure 31. Trinsic (United States) Revenue: by Geography 2022
  • Figure 32. Spherity (Germany) Revenue, Net Income and Gross profit
  • Figure 33. Spherity (Germany) Revenue: by Geography 2022
  • Figure 34. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 35. Microsoft (United States) Revenue: by Geography 2022
  • Figure 36. Global Decentralized Identifiers: by Type USD Million (2023-2028)
  • Figure 37. Global Decentralized Identifiers: by Application USD Million (2023-2028)
  • Figure 38. Global Decentralized Identifiers: by End User USD Million (2023-2028)
  • Figure 39. South America Decentralized Identifiers Share (%), by Country
  • Figure 40. Asia Pacific Decentralized Identifiers Share (%), by Country
  • Figure 41. Europe Decentralized Identifiers Share (%), by Country
  • Figure 42. MEA Decentralized Identifiers Share (%), by Country
  • Figure 43. North America Decentralized Identifiers Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Transmute (United States)
  • Consensys (United States)
  • uPort (United States)
  • IBM (United States)
  • Tykn Tech (Netherlands)
  • Blockstack (United States)
  • Danube Tech (Austria)
  • Trinsic (United States)
  • Spherity (Germany)
  • Microsoft (United States)
Additional players considered in the study are as follows:
3box (United States) , Meeco (Australia) , MATTR (New Zealand) , Jolocom (Germany)
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Key Highlights of Report


May 2023 214 Pages 61 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Global Decentralized Identifiers Market Quantitative research analysis
Global Decentralized Identifiers Market Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

Top performing companies in the Global Decentralized Identifiers market are Transmute (United States), Consensys (United States), uPort (United States), IBM (United States), Tykn Tech (Netherlands), Blockstack (United States), Danube Tech (Austria), Trinsic (United States), Spherity (Germany) and Microsoft (United States), to name a few.
"Maintaining Privacy and Control of Their Own Data Is Of Paramount Importance to Web Users " is seen as one of major influencing trends for Decentralized Identifiers Market during projected period 2022-2028.
Private DIDs segment in Global market to hold robust market share owing to "Accumulative Number of Data Breaches ".

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