Global Decentralized Identifiers (DIDs) Technology Market Size, Competition Landscape and Supply Chain Research Report 2025

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.

According to WENKH research statistics, the global Decentralized Identifiers (DIDs) Technology market sales revenue reached  Million USD in 2024 and is expected to reach  Million USD by 2032, with a compound annual growth rate (CAGR) of  % from 2025 to 2032. Among them, the Asia-Pacific Decentralized Identifiers (DIDs) Technology market has experienced rapid changes in recent years, reaching  Million USD in 2024, accounting for approximately  % of the global market share. It is projected to reach  Million USD by 2032.

The global Decentralized Identifiers (DIDs) Technology market is highly competitive, with key market players including 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. This report categorizes the competitive landscape of the global Decentralized Identifiers (DIDs) Technology market into three tiers based on annual revenue, with the top three market players holding approximately  % of the total market share.

This report provides an in-depth analysis of the global Decentralized Identifiers (DIDs) Technology market, including market size, capacity and production, price trends, market status and future development prospects. It particularly focuses on the market share, product characteristics, pricing, revenue, sales volume and gross profit margin of major manufacturers in the global Decentralized Identifiers (DIDs) Technology industry. Additionally, this report provides an in-depth analysis of the market status and future development trends of different segments of Decentralized Identifiers (DIDs) Technology and their downstream application fields.

In terms of data coverage, this report includes extensive time-series data. Historical data spans from 2020 to 2024, providing a solid foundation for analyzing market development trends. The year 2025 is used as a base year to accurately assess the current market landscape, while forecast data extends from 2026 to 2032, using scientific analysis methods and models to offer forward-looking projections and insights into the market's future trajectory. This provides valuable reference information for industry participants and stakeholders.

The report covers regions and countries including North America, Europe, China, Asia Pacific (excluding China), Latin America, the Middle East, and Africa. It particularly focuses on the revenue and sales volume of Decentralized Identifiers (DIDs) Technology in these regions and countries, as well as the market share of key market players in each region. The report provides an in-depth analysis of the regional distribution and future development trends of the Decentralized Identifiers (DIDs) Technology market. By considering local policies, this report evaluates the market prospects of Decentralized Identifiers (DIDs) Technology in each region and country, aiming to help companies gain a comprehensive understanding of the industry characteristics and development potential in different regions, optimize regional business layout, and develop precise market strategies to achieve global development goals.

This report places significant emphasis on data quality and reliability, leveraging a wide range of data sources to ensure accuracy and validity. Primary data collection is conducted through multiple channels, including in-depth interviews with senior corporate executives, industry experts, supply chain participants, and end consumers. This helps to gain insights into corporate strategic planning, industry policies, supply chain dynamics, and user experiences. Secondary data sources cover an extensive range, including authoritative government statistics, customs databases, industry related reports, third-party paid databases, investment research reports, academic studies, corporate financial statements, real-time media updates, and information from international organizations, all of which serve as a solid foundation for data verification and analysis.

Companies Covered

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

Product Segment

Biometric Technology

Non-biometric Technology

Product Application

BFSI

Government

Healthcare and Life Sciences

Telecom and IT

Retail and E-Commerce

Transport and Logistics

Media & Entertainment

Others

Chapter Scope

Chapter 1: Product Statistical Scope, Product Segmentation Types and Downstream Applications, Overall Market Size, Current Status and Development Prospects

Chapter 2: Global Decentralized Identifiers (DIDs) Technology Industry Chain Analysis

Chapter 3: Global Decentralized Identifiers (DIDs) Technology Industry Environment Analysis and Porter's Five Forces Analysis

Chapter 4: Global Decentralized Identifiers (DIDs) Technology Market Capacity and Production Analysis

Chapter 5: Analysis of the Competitive Landscape of Major Companies in the Global Decentralized Identifiers (DIDs) Technology Market (Market Share, Product Revenue and Sales Volume Comparison, Tier Division, Corporate Expansion and M&A Trends)

Chapter 6: Analysis of Global Major Companies (Company Profiles, Product Features and Product Segment, Product Revenue, Product Sales Volume, Product Average Price, Product Gross Profit Margin and Geographical Sales Share)

Chapter 7: Global Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application and Major Regional Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 8: North America Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 9: Europe Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 10: China Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 11: Asia Pacific (excluding China) Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 12: Latin America Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 13: Middle East and Africa Decentralized Identifiers (DIDs) Technology Product Segment, Downstream Application, and Major Countries Market Size Analysis (Sales Volume, Revenue and Average Price)

Chapter 14: Research Conclusion

Chapter 15: Methodology and Data Source

Purpose and Value of the Report

Market Trend Insights: Analyze industry trends, market dynamics, and future growth potential to help companies forecast changes and develop strategic plans.

Competitive Landscape Analysis: Understand key players' revenue segmentation, strategies, market share, and business models to guide competitive decisions.

Investment Decision Support: Provide feasibility analysis through market size, growth rate, demand trends, and potential risks for informed investment decisions.

Target Customer and Demand Analysis: Examine consumer behavior, purchasing preferences, and pain points to optimize products and improve market penetration.

Policy and Regulatory Insights: Interpret relevant industry policies to ensure compliance and mitigate regulatory risks.

Business Model Optimization: Offer data-driven suggestions for enhancing business models and improving profitability.