Global Decentralized Identity Market: Strategic Analysis and Future Outlook

The report constitutes an in-depth study of the global decentralized identity market, including a thorough analysis of the types of industries and ecosystem sub-segments. The study also presents a detailed analysis of the market dynamics and the technology trends governing the market. The scope of this report is largely focused on the industries catering to decentralized identity for different regions. The industry analysis presents a detailed insight into the major market players in the global decentralized identity market using the supply chain analysis.

The market analysis includes an in-depth examination of the major ecosystem players and key strategies and developments taking place in this market. It includes market dynamics (market drivers, opportunities, and challenges) and industry analysis. The purpose of the study is to gain a holistic view of the global decentralized identity market in terms of various factors influencing the same. The market has been segmented in terms of DID class', user type', application', identity modality', and region'.

The decentralized identity market has been tracked along the lines of types of DID class, user type, application, identity modality, and region (North America, Europe, Asia-Pacific, Rest-of-the-World). The market scenario of DID class (public DID, private DID), user type (individual, enterprise), identity modality (physiological, behavioral), and application (finance, government, healthcare, housing, and mobility, among others) have been analyzed qualitatively. The report also covers the decentralized identity market on a global scale and consequently, gives a key overview of the market scenario in different regions. A separate segment specifically has been dedicated to the key global regions: North America, Europe, Asia-Pacific (APAC), and Rest-of-the World.

Based on DID class, the global decentralized identity market is segmented into public DID and private DID. Public DIDs are appropriate for users who want an activity or interaction to be linked to them, which can be verified by other users. Public DIDs usually face an issue of being traceable, as all the activities are linked to a single DID. This results in a number of privacy and safety risks. Hence, pairwise DIDs are used, which can be generated whenever a user wants their interactions to be isolated and also prevent correlation. Apart from DID class, the report also provides a comprehensive outlook on applications. The market scenario is currently more dominant in the banking & financial sector for user KYC and authentication. The use cases prevalent in the industry is more inclined toward the banking sector, due to a growing number of cyberthreats and privacy issues faced by the customers.