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Global Web 3.0 Decentralized identities (DIDs) Market Outlook, In‑Depth Analysis & Forecast to 2031
Published Date: November 2025
|
Report Code: QYRE-Auto-39N17206
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Global Web 3 0 Decentralized identities DIDs Market Research Report 2024
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Global Web 3.0 Decentralized identities (DIDs) Market Outlook, In‑Depth Analysis & Forecast to 2031

Code: QYRE-Auto-39N17206
Report
November 2025
Pages:133
QYResearch
Buy Now with 15% Discount
DESCRIPTION
TABLE OF CONTENT
TABLES & FIGURES
FEATURED COMPANIES
Microsoft
Accenture Plc
WIPRO LIMITED
SecureKey Technologies
R3
Avast
Ping Identity
FINEMA CO., LTD.
Galxe(GAL)
Ethereum Name Service(ENS)
Polygon ID
Worldcoin

Web 3.0 Decentralized identities (DIDs) Market Size

The global Web 3.0 Decentralized identities (DIDs) market is projected to grow from US$ 49 million in 2024 to US$ 336 million by 2031, at a CAGR of 32.1% (2025-2031), driven by critical product segments and diverse end‑use applications.

Web 3.0 Decentralized identities (DIDs) Market

Web 3.0 Decentralized identities (DIDs) Market

In the world of Web3, a decentralized identity (DID) marks a shift from traditional centralized identity management systems to one where the user, hold the power over digital persona. Unlike traditional systems where identity data is controlled by institutions (like social media platforms or financial institutions), DIDs empower to own and control personal data, bringing forth a paradigm of user autonomy and heightened security within the digital landscape​.
From a downstream perspective, Government accounted for % of 2024 revenue, surging to US$ million by 2031 (CAGR: % from 2025–2031).
Web 3.0 Decentralized identities (DIDs) leading manufacturers including Microsoft, Accenture, Wipro, SecureKey Technologies, R3, Avast, Ping Identity, Finema, Galxe(GAL), Ethereum Name Service(ENS), etc., dominate supply; the top five capture approximately % of global revenue, with Microsoft leading 2024 sales at US$ million.
Regional Outlook:
North America rose from US$ million in 2024 to a forecast US$ million by 2031 (CAGR %).
Asia‑Pacific will expand from US$ million to US$ million (CAGR  %), led by China (US$ million in 2024, % share rising to % by 2031), Japan (CAGR %), South Korea (CAGR %), and Southeast Asia (CAGR %).
Europe is set to grow from US$ million to US$ million (CAGR %), with Germany projected to hit US$ million by 2031 (CAGR %).

Report Includes:

This definitive report equips CEOs, marketing directors, and investors with a 360° view of the global Web 3.0 Decentralized identities (DIDs) market across value chain. It analyzes historical revenue data (2020–2024) and delivers forecasts through 2031, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customers distribution pattern.
Granular regional insights cover five major markets—North America, Europe, APAC, South America, and MEA—with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players—revenue, margins, pricing strategies, and major customers—and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middlestream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation

Scope of Web 3.0 Decentralized identities (DIDs) Market Report

Report Metric Details
Report Name Web 3.0 Decentralized identities (DIDs) Market
Accounted market size in 2024 US$ 49 million
Forecasted market size in 2031 US$ 336 million
CAGR 32.1%
Base Year 2024
Forecasted years 2025 - 2031
Segment by Type
  • Public DIDs
  • Private DIDs
Segment by Application
  • Government
  • Telecom and IT
  • Finance
  • Others
Sales by Region
  • North America (United States, Canada)
  • Europe (Germany, France, UK, Italy, Russia) Rest of Europe
  • Nordic Countries
  • Asia-Pacific (China, Japan, South Korea)
  • Southeast Asia (India, Australia)
  • Rest of Asia
  • Latin America (Mexico, Brazil)
  • Rest of Latin America
  • Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of MEA)
By Company Microsoft, Accenture, Wipro, SecureKey Technologies, R3, Avast, Ping Identity, Finema, Galxe(GAL), Ethereum Name Service(ENS), Polygon ID, Worldcoin
Forecast units USD million in value
Report coverage Revenue and volume forecast, company share, competitive landscape, growth factors and trends

Chapter Outline

  • Chapter 1: Defines the Web 3.0 Decentralized identities (DIDs) study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential.
  • Chapter 2: Offers current market state, projects global revenue and sales to 2031, pinpointing high consumption regions and emerging market catalysts
  • Chapter 3: Dissects the player landscape—ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves.
  • Chapter 4: Unlocks high margin product segments—compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
  • Chapter 5: Targets downstream market opportunities—evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application.
  • Chapter 6: North America—breaks down market size by Type, by Application and country, profiles key players and assesses growth drivers and barriers.
  • Chapter 7: Europe—analyses regional market by Type, by Application and players, flagging drivers and barriers.
  • Chapter 8: Asia Pacific—quantifies market size by Type, by Application, and region/country, profiles top players, and uncovers high potential expansion areas.
  • Chapter 9: Central & South America—measures market size by Type, by Application, and country, profiles top players, and identifies investment opportunities and challenges.
  • Chapter 10: Middle East and Africa—evaluates market size by Type, by Application, and country, profiles key players, and outlines investment prospects and market hurdles
  • Chapter 11: Profiles players in depth—details product specs, revenue, margins; Top-tier players 2024 sales breakdowns by Product type, by Application, by region SWOT analysis, and recent strategic developments.
  • Chapter 12: Industry chain—analyses upstream, cost drivers, plus downstream channels.
  • Chapter 13: Market dynamics—explores drivers, restraints, regulatory impacts, and risk mitigation strategies.
  • Chapter 14: Actionable conclusions and strategic recommendations.
  • Why This Report:
  • Beyond standard market data, this analysis provides a clear profitability roadmap—empowering you to:
  • Allocate capital strategically to high growth regions (Chapters 6–10) and margin rich segments (Chapter 5).
  • Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
  • Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
  • Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
  • Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

FAQ for this report

How fast is Web 3.0 Decentralized identities (DIDs) Market growing?

Ans: The Web 3.0 Decentralized identities (DIDs) Market witnessing a CAGR of 32.1% during the forecast period 2025-2031.

What is the Web 3.0 Decentralized identities (DIDs) Market size in 2031?

Ans: The Web 3.0 Decentralized identities (DIDs) Market size in 2031 will be US$ 336 million.

Who are the main players in the Web 3.0 Decentralized identities (DIDs) Market report?

Ans: The main players in the Web 3.0 Decentralized identities (DIDs) Market are Microsoft, Accenture, Wipro, SecureKey Technologies, R3, Avast, Ping Identity, Finema, Galxe(GAL), Ethereum Name Service(ENS), Polygon ID, Worldcoin

What are the Application segmentation covered in the Web 3.0 Decentralized identities (DIDs) Market report?

Ans: The Applications covered in the Web 3.0 Decentralized identities (DIDs) Market report are Government, Telecom and IT, Finance, Others

What are the Type segmentation covered in the Web 3.0 Decentralized identities (DIDs) Market report?

Ans: The Types covered in the Web 3.0 Decentralized identities (DIDs) Market report are Public DIDs, Private DIDs

1 Study Coverage
1.1 Introduction to Web 3.0 Decentralized identities (DIDs): Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global Web 3.0 Decentralized identities (DIDs) Market Size by Type, 2020 VS 2024 VS 2031
1.2.2 Public DIDs
1.2.3 Private DIDs
1.3 Market Segmentation by Application
1.3.1 Global Web 3.0 Decentralized identities (DIDs) Market Size by Application, 2020 VS 2024 VS 2031
1.3.2 Government
1.3.3 Telecom and IT
1.3.4 Finance
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Executive Summary
2.1 Global Web 3.0 Decentralized identities (DIDs) Revenue Estimates and Forecasts 2020-2031
2.2 Global Web 3.0 Decentralized identities (DIDs) Revenue by Region
2.2.1 Revenue Comparison: 2020 VS 2024 VS 2031
2.2.2 Historical and Forecasted Revenue by Region (2020-2031)
2.2.3 Global Revenue Market Share by Region (2020-2031)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends
3 Competition by Players
3.1 Global Web 3.0 Decentralized identities (DIDs) Player Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2020-2025)
3.1.2 Global Key Player Revenue Ranking (2023 vs. 2024)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Player (2020 VS 2024)
3.2 Global Web 3.0 Decentralized identities (DIDs) Companies Headquarters and Service Footprint
3.3 Main Product Type Market Size by Players
3.3.1 Public DIDs Market Size by Players
3.3.2 Private DIDs Market Size by Players
3.4 Global Web 3.0 Decentralized identities (DIDs) Market Concentration and Dynamics
3.4.1 Global Market Concentration (CR5 and HHI)
3.4.2 Entrant/Exit Impact Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment
4 Global Product Segmentation Analysis
4.1 Global Web 3.0 Decentralized identities (DIDs) Revenue Trends by Type
4.1.1 Global Historical and Forecasted Revenue by Type (2020-2031)
4.1.2 Global Revenue Market Share by Type (2020-2031)
4.2 Key Product Attributes and Differentiation
4.3 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.3.1 High-Growth Niches and Adoption Drivers
4.3.2 Profitability Hotspots and Cost Drivers
4.3.3 Substitution Threats
5 Global Downstream Application Analysis
5.1 Global Web 3.0 Decentralized identities (DIDs) Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2020-2031)
5.1.2 Revenue Market Share by Application (2020-2031)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application
6 North America
6.1 North America Market Size (2020-2031)
6.2 North America Key Players Revenue in 2024
6.3 North America Web 3.0 Decentralized identities (DIDs) Market Size by Type (2020-2031)
6.4 North America Web 3.0 Decentralized identities (DIDs) Market Size by Application (2020-2031)
6.5 North America Growth Accelerators and Market Barriers
6.6 North America Web 3.0 Decentralized identities (DIDs) Market Size by Country
6.6.1 North America Revenue Trends by Country
6.6.2 US
6.6.3 Canada
6.6.4 Mexico
7 Europe
7.1 Europe Market Size (2020-2031)
7.2 Europe Key Players Revenue in 2024
7.3 Europe Web 3.0 Decentralized identities (DIDs) Market Size by Type (2020-2031)
7.4 Europe Web 3.0 Decentralized identities (DIDs) Market Size by Application (2020-2031)
7.5 Europe Growth Accelerators and Market Barriers
7.6 Europe Web 3.0 Decentralized identities (DIDs) Market Size by Country
7.6.1 Europe Revenue Trends by Country
7.6.2 Germany
7.6.3 France
7.6.4 U.K.
7.6.5 Italy
7.6.6 Russia
8 Asia-Pacific
8.1 Asia-Pacific Market Size (2020-2031)
8.2 Asia-Pacific Key Players Revenue in 2024
8.3 Asia-Pacific Web 3.0 Decentralized identities (DIDs) Market Size by Type (2020-2031)
8.4 Asia-Pacific Web 3.0 Decentralized identities (DIDs) Market Size by Application (2020-2031)
8.5 Asia-Pacific Growth Accelerators and Market Barriers
8.6 Asia-Pacific Web 3.0 Decentralized identities (DIDs) Market Size by Region
8.6.1 Asia-Pacific Revenue Trends by Region
8.7 China
8.8 Japan
8.9 South Korea
8.10 Australia
8.11 India
8.12 Southeast Asia
8.12.1 Indonesia
8.12.2 Vietnam
8.12.3 Malaysia
8.12.4 Philippines
8.12.5 Singapore
9 Central and South America
9.1 Central and South America Market Size (2020-2031)
9.2 Central and South America Key Players Revenue in 2024
9.3 Central and South America Web 3.0 Decentralized identities (DIDs) Market Size by Type (2020-2031)
9.4 Central and South America Web 3.0 Decentralized identities (DIDs) Market Size by Application (2020-2031)
9.5 Central and South America Investment Opportunities and Key Challenges
9.6 Central and South America Web 3.0 Decentralized identities (DIDs) Market Size by Country
9.6.1 Central and South America Revenue Trends by Country (2020 VS 2024 VS 2031)
9.6.2 Brazil
9.6.3 Argentina
10 Middle East and Africa
10.1 Middle East and Africa Market Size (2020-2031)
10.2 Middle East and Africa Key Players Revenue in 2024
10.3 Middle East and Africa Web 3.0 Decentralized identities (DIDs) Market Size by Type (2020-2031)
10.4 Middle East and Africa Web 3.0 Decentralized identities (DIDs) Market Size by Application (2020-2031)
10.5 Middle East and Africa Investment Opportunities and Key Challenges
10.6 Middle East and Africa Web 3.0 Decentralized identities (DIDs) Market Size by Country
10.6.1 Middle East and Africa Revenue Trends by Country (2020 VS 2024 VS 2031)
10.6.2 GCC Countries
10.6.3 Israel
10.6.4 Egypt
10.6.5 South Africa
11 Corporate Profile
11.1 Microsoft
11.1.1 Microsoft Corporation Information
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.1.4 Microsoft Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.1.5 Microsoft Web 3.0 Decentralized identities (DIDs) Revenue by Product in 2024
11.1.6 Microsoft Web 3.0 Decentralized identities (DIDs) Revenue by Application in 2024
11.1.7 Microsoft Web 3.0 Decentralized identities (DIDs) Revenue by Geographic Area in 2024
11.1.8 Microsoft Web 3.0 Decentralized identities (DIDs) SWOT Analysis
11.1.9 Microsoft Recent Developments
11.2 Accenture
11.2.1 Accenture Corporation Information
11.2.2 Accenture Business Overview
11.2.3 Accenture Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.2.4 Accenture Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.2.5 Accenture Web 3.0 Decentralized identities (DIDs) Revenue by Product in 2024
11.2.6 Accenture Web 3.0 Decentralized identities (DIDs) Revenue by Application in 2024
11.2.7 Accenture Web 3.0 Decentralized identities (DIDs) Revenue by Geographic Area in 2024
11.2.8 Accenture Web 3.0 Decentralized identities (DIDs) SWOT Analysis
11.2.9 Accenture Recent Developments
11.3 Wipro
11.3.1 Wipro Corporation Information
11.3.2 Wipro Business Overview
11.3.3 Wipro Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.3.4 Wipro Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.3.5 Wipro Web 3.0 Decentralized identities (DIDs) Revenue by Product in 2024
11.3.6 Wipro Web 3.0 Decentralized identities (DIDs) Revenue by Application in 2024
11.3.7 Wipro Web 3.0 Decentralized identities (DIDs) Revenue by Geographic Area in 2024
11.3.8 Wipro Web 3.0 Decentralized identities (DIDs) SWOT Analysis
11.3.9 Wipro Recent Developments
11.4 SecureKey Technologies
11.4.1 SecureKey Technologies Corporation Information
11.4.2 SecureKey Technologies Business Overview
11.4.3 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.4.4 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.4.5 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) Revenue by Product in 2024
11.4.6 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) Revenue by Application in 2024
11.4.7 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) Revenue by Geographic Area in 2024
11.4.8 SecureKey Technologies Web 3.0 Decentralized identities (DIDs) SWOT Analysis
11.4.9 SecureKey Technologies Recent Developments
11.5 R3
11.5.1 R3 Corporation Information
11.5.2 R3 Business Overview
11.5.3 R3 Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.5.4 R3 Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.5.5 R3 Web 3.0 Decentralized identities (DIDs) Revenue by Product in 2024
11.5.6 R3 Web 3.0 Decentralized identities (DIDs) Revenue by Application in 2024
11.5.7 R3 Web 3.0 Decentralized identities (DIDs) Revenue by Geographic Area in 2024
11.5.8 R3 Web 3.0 Decentralized identities (DIDs) SWOT Analysis
11.5.9 R3 Recent Developments
11.6 Avast
11.6.1 Avast Corporation Information
11.6.2 Avast Business Overview
11.6.3 Avast Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.6.4 Avast Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.6.5 Avast Recent Developments
11.7 Ping Identity
11.7.1 Ping Identity Corporation Information
11.7.2 Ping Identity Business Overview
11.7.3 Ping Identity Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.7.4 Ping Identity Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.7.5 Ping Identity Recent Developments
11.8 Finema
11.8.1 Finema Corporation Information
11.8.2 Finema Business Overview
11.8.3 Finema Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.8.4 Finema Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.8.5 Finema Recent Developments
11.9 Galxe(GAL)
11.9.1 Galxe(GAL) Corporation Information
11.9.2 Galxe(GAL) Business Overview
11.9.3 Galxe(GAL) Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.9.4 Galxe(GAL) Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.9.5 Galxe(GAL) Recent Developments
11.10 Ethereum Name Service(ENS)
11.10.1 Ethereum Name Service(ENS) Corporation Information
11.10.2 Ethereum Name Service(ENS) Business Overview
11.10.3 Ethereum Name Service(ENS) Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.10.4 Ethereum Name Service(ENS) Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.10.5 Company Ten Recent Developments
11.11 Polygon ID
11.11.1 Polygon ID Corporation Information
11.11.2 Polygon ID Business Overview
11.11.3 Polygon ID Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.11.4 Polygon ID Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.11.5 Polygon ID Recent Developments
11.12 Worldcoin
11.12.1 Worldcoin Corporation Information
11.12.2 Worldcoin Business Overview
11.12.3 Worldcoin Web 3.0 Decentralized identities (DIDs) Product Features and Attributes
11.12.4 Worldcoin Web 3.0 Decentralized identities (DIDs) Revenue and Gross Margin (2020-2025)
11.12.5 Worldcoin Recent Developments
12 Web 3.0 Decentralized identities (DIDs)Industry Chain Analysis
12.1 Web 3.0 Decentralized identities (DIDs) Industry Chain
12.2 Upstream Analysis
12.2.1 Upstream Key Suppliers
12.3 Middlestream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors
13 Web 3.0 Decentralized identities (DIDs) Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints
14 Key Findings in the Global Web 3.0 Decentralized identities (DIDs) Study
15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details
FEATURED COMPANIES
Microsoft
Accenture Plc
WIPRO LIMITED
SecureKey Technologies
R3
Avast
Ping Identity
FINEMA CO., LTD.
Galxe(GAL)
Ethereum Name Service(ENS)
Polygon ID
Worldcoin
List of Tables
 Table 1. Global Web 3.0 Decentralized identities (DIDs) Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Table 2. Global Web 3.0 Decentralized identities (DIDs) Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Table 3. Global Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 4. Global Web 3.0 Decentralized identities (DIDs) Revenue by Region (2020-2025) & (US$ Million)
 Table 5. Global Web 3.0 Decentralized identities (DIDs) Revenue by Region (2026-2031) & (US$ Million)
 Table 6. Emerging Market Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 7. Global Web 3.0 Decentralized identities (DIDs) Revenue by Players (2020-2025) & (US$ Million)
 Table 8. Global Web 3.0 Decentralized identities (DIDs) Revenue Market Share by Players (2020-2025)
 Table 9. Global Key Players’Ranking Shift (2023 vs. 2024) (Based on Revenue)
 Table 10. Global Web 3.0 Decentralized identities (DIDs) by Player Tier (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Web 3.0 Decentralized identities (DIDs) as of 2024)
 Table 11. Global Web 3.0 Decentralized identities (DIDs) Average Gross Margin (%) by Player (2020 VS 2024)
 Table 12. Global Web 3.0 Decentralized identities (DIDs) Companies Headquarters
 Table 13. Global Web 3.0 Decentralized identities (DIDs) Market Concentration Ratio (CR5 and HHI)
 Table 14. Key Market Entrant/Exit (2020-2024) – Drivers & Impact Analysis
 Table 15. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
 Table 16. Global Web 3.0 Decentralized identities (DIDs) Revenue by Type (2020-2025) & (US$ Million)
 Table 17. Global Web 3.0 Decentralized identities (DIDs) Revenue by Type (2026-2031) & (US$ Million)
 Table 18. Key Product Attributes and Differentiation
 Table 19. Global Web 3.0 Decentralized identities (DIDs) Revenue by Application (2020-2025) & (US$ Million)
 Table 20. Global Web 3.0 Decentralized identities (DIDs) Revenue by Application (2026-2031) & (US$ Million)
 Table 21. Web 3.0 Decentralized identities (DIDs) High-Growth Sectors Demand CAGR (2024-2031)
 Table 22. Top Customers by Region
 Table 23. Top Customers by Application
 Table 24. North America Web 3.0 Decentralized identities (DIDs) Growth Accelerators and Market Barriers
 Table 25. North America Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 26. Europe Web 3.0 Decentralized identities (DIDs) Growth Accelerators and Market Barriers
 Table 27. Europe Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Country: 2020 VS 2024 VS 2031 (US$ Million)
 Table 28. Asia-Pacific Web 3.0 Decentralized identities (DIDs) Growth Accelerators and Market Barriers
 Table 29. Asia-Pacific Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Table 30. Central and South America Web 3.0 Decentralized identities (DIDs) Investment Opportunities and Key Challenges
 Table 31. Central and South America Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 32. Middle East and Africa Web 3.0 Decentralized identities (DIDs) Investment Opportunities and Key Challenges
 Table 33. Middle East and Africa Web 3.0 Decentralized identities (DIDs) Revenue Grow Rate (CAGR) by Country (2020 VS 2024 VS 2031) (US$ Million)
 Table 34. Microsoft Corporation Information
 Table 35. Microsoft Description and Major Businesses
 Table 36. Microsoft Product Features and Attributes
 Table 37. Microsoft Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 38. Microsoft Revenue Proportion by Product in 2024
 Table 39. Microsoft Revenue Proportion by Application in 2024
 Table 40. Microsoft Revenue Proportion by Geographic Area in 2024
 Table 41. Microsoft Web 3.0 Decentralized identities (DIDs) SWOT Analysis
 Table 42. Microsoft Recent Developments
 Table 43. Accenture Corporation Information
 Table 44. Accenture Description and Major Businesses
 Table 45. Accenture Product Features and Attributes
 Table 46. Accenture Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 47. Accenture Revenue Proportion by Product in 2024
 Table 48. Accenture Revenue Proportion by Application in 2024
 Table 49. Accenture Revenue Proportion by Geographic Area in 2024
 Table 50. Accenture Web 3.0 Decentralized identities (DIDs) SWOT Analysis
 Table 51. Accenture Recent Developments
 Table 52. Wipro Corporation Information
 Table 53. Wipro Description and Major Businesses
 Table 54. Wipro Product Features and Attributes
 Table 55. Wipro Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 56. Wipro Revenue Proportion by Product in 2024
 Table 57. Wipro Revenue Proportion by Application in 2024
 Table 58. Wipro Revenue Proportion by Geographic Area in 2024
 Table 59. Wipro Web 3.0 Decentralized identities (DIDs) SWOT Analysis
 Table 60. Wipro Recent Developments
 Table 61. SecureKey Technologies Corporation Information
 Table 62. SecureKey Technologies Description and Major Businesses
 Table 63. SecureKey Technologies Product Features and Attributes
 Table 64. SecureKey Technologies Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 65. SecureKey Technologies Revenue Proportion by Product in 2024
 Table 66. SecureKey Technologies Revenue Proportion by Application in 2024
 Table 67. SecureKey Technologies Revenue Proportion by Geographic Area in 2024
 Table 68. SecureKey Technologies Web 3.0 Decentralized identities (DIDs) SWOT Analysis
 Table 69. SecureKey Technologies Recent Developments
 Table 70. R3 Corporation Information
 Table 71. R3 Description and Major Businesses
 Table 72. R3 Product Features and Attributes
 Table 73. R3 Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 74. R3 Revenue Proportion by Product in 2024
 Table 75. R3 Revenue Proportion by Application in 2024
 Table 76. R3 Revenue Proportion by Geographic Area in 2024
 Table 77. R3 Web 3.0 Decentralized identities (DIDs) SWOT Analysis
 Table 78. R3 Recent Developments
 Table 79. Avast Corporation Information
 Table 80. Avast Description and Major Businesses
 Table 81. Avast Product Features and Attributes
 Table 82. Avast Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 83. Avast Recent Developments
 Table 84. Ping Identity Corporation Information
 Table 85. Ping Identity Description and Major Businesses
 Table 86. Ping Identity Product Features and Attributes
 Table 87. Ping Identity Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 88. Ping Identity Recent Developments
 Table 89. Finema Corporation Information
 Table 90. Finema Description and Major Businesses
 Table 91. Finema Product Features and Attributes
 Table 92. Finema Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 93. Finema Recent Developments
 Table 94. Galxe(GAL) Corporation Information
 Table 95. Galxe(GAL) Description and Major Businesses
 Table 96. Galxe(GAL) Product Features and Attributes
 Table 97. Galxe(GAL) Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 98. Galxe(GAL) Recent Developments
 Table 99. Ethereum Name Service(ENS) Corporation Information
 Table 100. Ethereum Name Service(ENS) Description and Major Businesses
 Table 101. Ethereum Name Service(ENS) Product Features and Attributes
 Table 102. Ethereum Name Service(ENS) Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 103. Ethereum Name Service(ENS) Recent Developments
 Table 104. Polygon ID Corporation Information
 Table 105. Polygon ID Description and Major Businesses
 Table 106. Polygon ID Product Features and Attributes
 Table 107. Polygon ID Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 108. Polygon ID Recent Developments
 Table 109. Worldcoin Corporation Information
 Table 110. Worldcoin Description and Major Businesses
 Table 111. Worldcoin Product Features and Attributes
 Table 112. Worldcoin Revenue (US$ Million) and Gross Margin (2020-2025)
 Table 113. Worldcoin Recent Developments
 Table 114. Raw Materials Key Suppliers
 Table 115. Distributors List
 Table 116. Market Trends and Market Evolution
 Table 117. Market Drivers and Opportunities
 Table 118. Market Challenges, Risks, and Restraints
 Table 119. Research Programs/Design for This Report
 Table 120. Key Data Information from Secondary Sources
 Table 121. Key Data Information from Primary Sources


List of Figures
 Figure 1. Web 3.0 Decentralized identities (DIDs) Product Picture
 Figure 2. Global Web 3.0 Decentralized identities (DIDs) Market Size Growth Rate by Type, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 3. Public DIDs Product Picture
 Figure 4. Private DIDs Product Picture
 Figure 5. Global Web 3.0 Decentralized identities (DIDs) Market Size Growth Rate by Application, 2020 VS 2024 VS 2031 (US$ Million)
 Figure 6. Government
 Figure 7. Telecom and IT
 Figure 8. Finance
 Figure 9. Others
 Figure 10. Web 3.0 Decentralized identities (DIDs) Report Years Considered
 Figure 11. Global Web 3.0 Decentralized identities (DIDs) Revenue, (US$ Million), 2020 VS 2024 VS 2031
 Figure 12. Global Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 13. Global Web 3.0 Decentralized identities (DIDs) Revenue (CAGR) by Region: 2020 VS 2024 VS 2031 (US$ Million)
 Figure 14. Global Web 3.0 Decentralized identities (DIDs) Revenue Market Share by Region (2020-2031)
 Figure 15. Global Web 3.0 Decentralized identities (DIDs) Revenue Market Share Ranking (2024)
 Figure 16. Tier Distribution by Revenue Contribution (2020 VS 2024)
 Figure 17. Public DIDs Revenue Market Share by Player in 2024
 Figure 18. Private DIDs Revenue Market Share by Player in 2024
 Figure 19. Global Web 3.0 Decentralized identities (DIDs) Revenue Market Share by Type (2020-2031)
 Figure 20. Global Web 3.0 Decentralized identities (DIDs) Revenue Market Share by Application (2020-2031)
 Figure 21. North America Web 3.0 Decentralized identities (DIDs) Revenue YoY (2020-2031) & (US$ Million)
 Figure 22. North America Top 5 Players Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) in 2024
 Figure 23. North America Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Type (2020 - 2031)
 Figure 24. North America Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Application (2020-2031)
 Figure 25. US Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 26. Canada Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 27. Mexico Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 28. Europe Web 3.0 Decentralized identities (DIDs) Revenue YoY (2020-2031) & (US$ Million)
 Figure 29. Europe Top 5 Players Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) in 2024
 Figure 30. Europe Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Type (2020-2031)
 Figure 31. Europe Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Application (2020-2031)
 Figure 32. Germany Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 33. France Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 34. U.K. Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 35. Italy Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 36. Russia Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 37. Asia-Pacific Web 3.0 Decentralized identities (DIDs) Revenue YoY (2020-2031) & (US$ Million)
 Figure 38. Asia-Pacific Top 8 Players Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) in 2024
 Figure 39. Asia-Pacific Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Type (2020-2031)
 Figure 40. Asia-Pacific Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Application (2020-2031)
 Figure 41. Indonesia Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 42. Japan Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 43. South Korea Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 44. Australia Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 45. India Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 46. Indonesia Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 47. Vietnam Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 48. Malaysia Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 49. Philippines Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 50. Singapore Web 3.0 Decentralized identities (DIDs) Revenue (2020-2031) & (US$ Million)
 Figure 51. Central and South America Web 3.0 Decentralized identities (DIDs) Revenue YoY (2020-2031) & (US$ Million)
 Figure 52. Central and South America Top 5 Players Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) in 2024
 Figure 53. Central and South America Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Type (2020-2031)
 Figure 54. Central and South America Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Application (2020-2031)
 Figure 55. Brazil Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 56. Argentina Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 57. Middle East and Africa Web 3.0 Decentralized identities (DIDs) Revenue YoY (2020-2031) & (US$ Million)
 Figure 58. Middle East and Africa Top 5 Players Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) in 2024
 Figure 59. South America Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Type (2020-2031)
 Figure 60. Middle East and Africa Web 3.0 Decentralized identities (DIDs) Revenue (US$ Million) by Application (2020-2031)
 Figure 61. GCC Countries Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 62. Israel Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 63. Egypt Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 64. South Africa Web 3.0 Decentralized identities (DIDs) Revenue (2020-2025) & (US$ Million)
 Figure 65. Web 3.0 Decentralized identities (DIDs) Industry Chain Mapping
 Figure 66. Channels of Distribution (Direct Vs Distribution)
 Figure 67. Bottom-up and Top-down Approaches for This Report
 Figure 68. Data Triangulation
 Figure 69. Key Executives Interviewed
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