Global Decentralized Identity Tools Supply, Demand and Key Producers, 2023-2029

Global Decentralized Identity Tools Supply, Demand and Key Producers, 2023-2029


The global Decentralized Identity Tools market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

Decentralized identity, also referred to as self-sovereign identity, is an open-standards based identity framework that uses digital identifiers and verifiable credentials that are self-owned, independent, and enable trusted data exchange.

This report studies the global Decentralized Identity Tools demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Decentralized Identity Tools, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Decentralized Identity Tools that contribute to its increasing demand across many markets.

Highlights and key features of the study

Global Decentralized Identity Tools total market, 2018-2029, (USD Million)


Global Decentralized Identity Tools total market by region & country, CAGR, 2018-2029, (USD Million)


U.S. VS China: Decentralized Identity Tools total market, key domestic companies and share, (USD Million)

Global Decentralized Identity Tools revenue by player and market share 2018-2023, (USD Million)


Global Decentralized Identity Tools total market by Type, CAGR, 2018-2029, (USD Million)


Global Decentralized Identity Tools total market by Application, CAGR, 2018-2029, (USD Million)


This reports profiles major players in the global Decentralized Identity Tools market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Microsoft, Avast, Ping Identity, 1Kosmos, IBM, Accenture, R3, Civic Technologies and InfoCert, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Decentralized Identity Tools market

Detailed Segmentation:

Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Decentralized Identity Tools Market, By Region:


United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Decentralized Identity Tools Market, Segmentation by Type


Biometric
Non-biometric

Global Decentralized Identity Tools Market, Segmentation by Application


BFSI
Government
Healthcare and Life Sciences
Telecom and IT
Retail and E-Commerce
Transport and Logistics
Media & Entertainment
Other

Companies Profiled:
Microsoft
Avast
Ping Identity
1Kosmos
IBM
Accenture
R3
Civic Technologies
InfoCert
Ontology
Spruce ID
TrueVett (VeriME)
Dock Labs
Finema
Metadium
Affinidi
Datarella
Infopulse
Dragonchain
Validated ID
Serto
Blockster Labs
Nuggets

Key Questions Answered

1. How big is the global Decentralized Identity Tools market?

2. What is the demand of the global Decentralized Identity Tools market?

3. What is the year over year growth of the global Decentralized Identity Tools market?

4. What is the total value of the global Decentralized Identity Tools market?

5. Who are the major players in the global Decentralized Identity Tools market?

6. What are the growth factors driving the market demand?


1 Supply Summary
2 Demand Summary
3 World Decentralized Identity Tools Companies Competitive Analysis
4 United States VS China VS Rest of World (by Headquarter Location)
5 Market Analysis by Type
6 Market Analysis by Application
7 Company Profiles
8 Industry Chain Analysis
9 Research Findings and Conclusion
10 Appendix

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