Global Decentralized Identifiers (DIDs) Technology Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032

Market Overview

According to DIResearch's in-depth investigation and research, the global Decentralized Identifiers (DIDs) Technology market size will reach 1,821.81 Million USD in 2025 and is projected to reach 138,369.46 Million USD by 2032, with a CAGR of 85.63% (2025-2032). Notably, the China Decentralized Identifiers (DIDs) Technology market has changed rapidly in the past few years. By 2025, China's market size is expected to be Million USD, representing approximately % of the global market share.

Research Summary

Decentralized Identifiers (DIDs) technology is an innovative framework designed to provide a secure and user-controlled method for creating and managing digital identities on distributed networks, such as blockchain. Unlike traditional identifiers that rely on central authorities (like government agencies or corporations), DIDs enable individuals and entities to establish their identities without the need for intermediaries, fostering greater privacy and autonomy. DIDs are represented as cryptographically secure strings and can be linked to various types of verifiable credentials, allowing users to prove their identity or attributes (such as age or professional qualifications) without disclosing unnecessary personal information. This technology is gaining traction in various applications, including identity verification, access control, and secure data sharing, particularly in sectors such as finance, healthcare, and supply chain management. By promoting self-sovereign identity, DIDs aim to enhance trust, security, and interoperability in digital interactions while reducing the risks associated with identity theft and data breaches.

The major global  manufacturers of Decentralized Identifiers (DIDs) Technology include Microsoft, Avast, IBM, Ping Identity, Accenture, R3, 1Kosmos, InfoCert, Civic Technologies, Ontology, Spruce ID, Fractal ID, Validated ID, TrueVett (VeriME), Finema, Dock Labs, Nuggets, Affinidi, Metadium, Infopulse, Dragonchain, Serto, Datarella, Blockster Labs, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.

This report studies the market size, price trends and future development prospects of Decentralized Identifiers (DIDs) Technology. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Decentralized Identifiers (DIDs) Technology market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.

The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Decentralized Identifiers (DIDs) Technology market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Decentralized Identifiers (DIDs) Technology industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.    

The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.

Global Key Manufacturers of Decentralized Identifiers (DIDs) Technology Include:

Microsoft

Avast

IBM

Ping Identity

Accenture

R3

1Kosmos

InfoCert

Civic Technologies

Ontology

Spruce ID

Fractal ID

Validated ID

TrueVett (VeriME)

Finema

Dock Labs

Nuggets

Affinidi

Metadium

Infopulse

Dragonchain

Serto

Datarella

Blockster Labs

Decentralized Identifiers (DIDs) Technology Product Segment Include:

Biometric Technology

Non-biometric Technology

Decentralized Identifiers (DIDs) Technology Product Application Include:

BFSI

Government

Healthcare and Life Sciences

Telecom and IT

Retail and E-Commerce

Transport and Logistics

Media & Entertainment

Others

Chapter Scope

Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend

Chapter 2: Global Decentralized Identifiers (DIDs) Technology Capacity and Production Analysis

Chapter 3: Global Decentralized Identifiers (DIDs) Technology Industry PESTEL Analysis

Chapter 4: Global Decentralized Identifiers (DIDs) Technology Industry Porter's Five Forces Analysis

Chapter 5: Global Decentralized Identifiers (DIDs) Technology Major Regional Market Size (Sales, Revenue, Price) and Forecast Analysis

Chapter 6: Global Decentralized Identifiers (DIDs) Technology Competitive Analysis of Key Manufacturers (Sales, Revenue, Market Share, Price, Regional Distribution and Industry Concentration)

Chapter 7: Global Decentralized Identifiers (DIDs) Technology Sales, Revenue, Price and Forecast by Product Type

Chapter 8: Key Company Profiles (Product Portfolio, Sales, Revenue, Price and Gross Margin)

Chapter 9: Industrial Chain Analysis, Decentralized Identifiers (DIDs) Technology Different Application Market Analysis (Sales and Revenue), Sales Channel Analysis

Chapter 10: Research Findings and Conclusion

Chapter 11: Methodology and Data Sources Show more