The Decentralized Identity Market size was valued at USD 282.3 Million in 2022 and is estimated to reach over USD 46157.5 Million in 2030 with a growing CAGR of 89.1% Over the Forecast Period of 2023-2030.
Decentralized identity is an innovative and secure solution for verifying user identities. It operates on an open-standard platform, utilizing cutting-edge technologies like blockchain or distributed ledger technology to ensure transparency and independence in data exchange. In today's digitalized world, verifiable credentials play a crucial role in establishing identity claims. Organizations issue encrypted digital identity cards, which serve as a safeguard for personal information. This helps combat the rising instances of cybersecurity threats, as well as fraudulent activities like money laundering and bribery, which are unfortunately prevalent in the banking sector. By adopting a decentralized identity, individuals can have peace of mind knowing that their personal data is protected, while organizations can enhance their security measures and build trust with their customers. This solution revolutionizes the way identity authentication is conducted, providing a robust and reliable platform for user verification. The development of decentralized identification systems has been facilitated by the rise of blockchain technology. A transparent and unchangeable ledger, provided by a blockchain, can safely store, and verify identity information. As a result, there is no longer a need for middlemen and a trustless environment is created where identity verification may be carried out directly between parties, cutting costs and increasing efficiency. Additionally, the desire for frictionless and seamless user experiences is rising, which is highlighting the widespread acceptance of decentralized ID.
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Drivers
Rising numbers of identity fraud and security breaches
Decentralized ID is becoming more widely accepted globally due to the rising need for frictionless and seamless user experiences.
As the world advances closer to digitization, the vulnerability of the data being put online increases. Identity theft is on the rise in part because personal data about every customer is kept on hundreds of servers around the globe. According to the Federal Trade Commission (FTC), identity fraud cases will rise by 45% globally, resulting in large financial losses. Cyberattacks are on the rise as a result of technology like machine learning (ML), which gives hackers the ability to create new dangerous code versions every day. Such fresh cyberattacks keep popping up, putting company assets at peril, damaging their reputations, and losing them money. For corporate growth, cyber threat protection has become essential. Businesses have turned to decentralized identification as a safeguard against security gaps and cyberattacks, which has sped up the creation and uptake of decentralized identity solutions. Globally, airports and airlines have embraced decentralized identity technologies, enabling facial recognition check-in and contactless travel at many touchpoints. Using a quick, accurate, and secure facial scan, users of this device can check their bags, pass through security, and board a flight.
Restrains
Regulatory status that is unclear and a lacks of a set of universal norms
Opportunities
Extensive Applications of Blockchain Identity Solutions in Banking
Blockchain identity management technology holds immense potential in various operational areas, including banking, cybersecurity, and the Internet of Things (IoT). This groundbreaking technology has the power to revolutionize the world by addressing the numerous challenges faced by traditional banking processes, ultimately leading to the provision of seamless banking services. The advantages it offers, such as reduced transaction costs and faster deal processing times, can significantly enhance the efficiency and security of business transactions. One of the key strengths of blockchain technology lies in its foundation on distributed ledger technology, where blocks of data are encrypted using advanced cryptography. This ensures that the data remains highly secure and less susceptible to unauthorized access or tampering. Forward-thinking pioneers are already harnessing this technology to create a decentralized network of IoT devices, eliminating the need for a central authority to manage communication between these devices. With blockchain technology, devices can directly communicate with each other, eliminating the need for additional monitoring systems.
Challenges
Lacking technical expertise and comprehension of the blockchain idea
Geopolitical conflicts can lead to increased uncertainty and distrust in various markets, including technology and blockchain-related fields like Decentralized Identity. DID relies on trust and security, and any geopolitical instability can erode trust in the technology or lead to concerns about the security of identity data stored in decentralized systems. Geopolitical conflicts often result in changes to regulatory environments. Governments may introduce new regulations or restrictions on technology companies operating within their jurisdictions. This could affect the development and adoption of DID technologies, as companies may face new compliance challenges. Geopolitical tensions can influence international collaboration and partnerships in the technology sector. Collaboration between organizations and governments from different countries is often vital for the growth and adoption of DID technologies. Geopolitical conflicts can strain these collaborations or lead to a shift in alliances, affecting market dynamics. Geopolitical events, especially those related to data breaches and privacy violations, can draw increased attention to the importance of secure and privacy-respecting identity solutions. This may drive greater interest in decentralized identity technologies to enhance security and privacy. Geopolitical uncertainties can impact investor sentiment and funding for technology startups and projects in the DID space. If investors perceive increased risks, they may be more cautious about investing in this sector.
Impact of Recession
Economic downturns can lead to an uptick in cyberattacks and identity-related fraud as malicious actors seek to take advantage of vulnerabilities. This could drive increased interest in DID solutions, which are designed to enhance security and privacy by giving individuals greater control over their personal data. Governments may look to stimulate economic recovery by investing in digital infrastructure, including digital identity systems. This could create opportunities for DID providers to collaborate with public-sector organizations on identity-related projects. Organizations may seek cost-effective solutions, including open-source and interoperable DID technologies, to streamline identity management processes. This could drive innovation in the DID market, potentially benefiting both providers and users. To remain resilient during economic uncertainties, DID providers may pivot to offer solutions for a broader range of use cases beyond identity verification. This diversification could help them weather economic downturns by tapping into new markets and revenue streams. Economic downturns can prompt governments to reassess and update regulations, including those related to digital identity. DID providers may need to adapt to evolving regulatory landscapes, which can either hinder or facilitate market growth.
By Identity type
Non- biometrics
Biometrics
By Organization size
Large Enterprises
SMEs
By End user
Enterprises
Individual
By Verticals
BFSI
Government
Healthcare and life sciences
Telecom and IT
Retail & E-Commerce
Transport and Logistics
Real Estate
Media and Entertainment
Travel and Hospitality
Others
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In 2022, the BFSI segment emerged as the dominant force in the market, accounting for a significant revenue share of over 18%. This sector, encompassing banking, financial services, and insurance, plays a crucial role in ensuring customer trust and security. Banks are mandated to conduct Know Your Customer (KYC) checks to verify the identity of their customers and safeguard against any involvement in illicit activities like bribery or money laundering. Moreover, it is noteworthy that the United States allocates a staggering USD 24 billion towards Anti-Money Laundering (AML) compliance measures. This substantial investment underscores the nation's commitment to combatting financial crimes and maintaining the integrity of its financial systems.
During the projected period, North America is anticipated to have the greatest market size. The rapidly evolving digital landscape necessitates proactive measures and advancements to address the escalating instances of fraud and privacy concerns. To safeguard data, a simplified yet robust security model is imperative. Notably, identity theft is witnessing a surge in both government and public sectors, thereby potentially driving the adoption of security services. According to a report by the Identity Theft Research Center (ITRC), the United States experienced a staggering 69% increase in data breaches in 2021 compared to the previous year, setting a record high. In the same year, the Federal Trade Commission (FTC) Consumer Network received over 5.5 million reports, with fraud accounting for 48% and identity theft for 24% of the cases. These alarming statistics underscore the urgent need for comprehensive solutions. Both the public and private sectors are actively entering the decentralized identity market. The US federal government has invested substantial sums, amounting to tens of millions of dollars, to facilitate the standardization and development of decentralized identity solutions and associated technologies. Simultaneously, numerous solution providers are emerging in the private sector, with several Fortune 100 companies also venturing into this market.
The Asia Pacific region is expected to experience the highest compound annual growth rate (CAGR) of 91% during the forecast period. This remarkable growth can be attributed to the increasing awareness of cybersecurity in countries like India, China, and Japan. Notably, various organizations in the Asia Pacific region are actively pursuing aggressive measures to protect consumer identities, further fueling the growth of the regional market.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The major players are Validated ID, Persistent, Microsoft, Wipro, Dragonchain, SecureKey Technologies, Accenture, R3, Avast, Datarella, Serto, Ping Identity, NuID, SelfKey, Nuggets, Finema, Civic Technologies, Affinidy, Hu-manity, 1Kosmos, and others in final report.
Avast acquired SecureKey in March 2022, granting them access to SecureKey Technologies' vast client base and decentralized identity expertise. This acquisition will not only facilitate Avast's regional expansion but also enhance its professional standing in the industry.
In October 2021, Interac secured exclusive rights to SecureKey's digital ID services in Canada. This strategic partnership aims to enhance the delivery of secure online services by leveraging SecureKey Technologies' existing digital ID services.
Microsoft and Onfido joined together in April 2021 to provide Azure Active Directory (Azure AD) verifiable credentials with quick and safe identity verification.
Accenture and Nuggets, a self-sovereign digital ID and payments platform, teamed in February 2021. Accenture will work with Nuggets to develop and enhance its decentralized identification technologies and business models through this agreement.
| Report Attributes | Details |
| Market Size in 2022 | US$ 282.3 Bn |
| Market Size by 2030 | US$ 46156.5 Bn |
| CAGR | CAGR of 89.1 % From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | Validated ID, Persistent, Microsoft, Wipro, Dragonchain, SecureKey Technologies, Accenture, R3, Avast, Datarella, Serto, Ping Identity, NuID, SelfKey, Nuggets, Finema, Civic Technologies, Affinidy, Hu-manity, 1Kosmos |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]), Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | Validated ID, Persistent, Microsoft, Wipro, Dragonchain, SecureKey Technologies, Accenture, R3, Avast, Datarella, Serto, Ping Identity, NuID, SelfKey, Nuggets, Finema, Civic Technologies, Affinidy, Hu-manity, 1Kosmos, |
| Key Drivers | • Rising numbers of identity fraud and security breaches • Decentralized ID is becoming more widely accepted globally due to the rising need for frictionless and seamless user experiences. |
| Market Restraints | • Regulatory status that is unclear and a lacks of a set of universal norms |
Ans: The market is expected to grow to USD 46157.5 Million by the forecast period of 2030.
Ans. The CAGR of the Decentralized Identity Market for the forecast period 2022-2030 is 89.1%.
Ans: There are three options available to purchase this report,
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4. Additional 80 analyst hours of free customization to add extra slices of information that might be missing from the study
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Features:
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2. No limit over the number of users
3. An Excel spreadsheet would be delivered along with the PDF
4. 2 complimentary analyst briefing sessions of 30 minutes each to be provided post-purchase and delivery of the study
5. 2 complimentary updates to be provided within 1 year of purchase
6. Additional 100 analyst hours of free customization to add extra slices of information that might be missing from the study.
C: Excel Datasheet: USD 2,325
1. ME sheet is provided in Excel format.
2. 1 complimentary analyst briefing session of 30 minutes to be provided post-purchase and delivery of the study
Ans. The forecast period for Decentralized Identity market is 2022-2030.
Ans: Four segments are covered in the Decentralized Identity Market report, By Identity Type, By Organization size, By End-user, By Verticals.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Decentralized Identity Market Segmentation, By Identity Type
8.1 Non-biometrics
8.2 Biometrics
9. Decentralized Identity Market Segmentation, By Organization Size
9.1 Large Enterprises
9.2 SMEs
10. Decentralized Identity Market Segmentation, By End User
10.1 Enterprises
10.2 Individual
11. Decentralized Identity Market Segmentation, By Verticals
11.1 BFSI
11.2 Government
11.3 Healthcare and Life Sciences
11.4 Telecom and IT
11.5 Retail & E-Commerce
11.6 Transport and Logistics
11.7 Real Estate
11.8 Media and Entertainment
11.9 Travel and Hospitality
11.10 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Decentralized Identity Market By Country
12.2.2 North America Decentralized Identity Market By Identity Type
12.2.3 North America Decentralized Identity Market By Organization Size
12.2.4 North America Decentralized Identity Market By End-user
12.2.5 North America Decentralized Identity Market By Verticals
12.2.6 USA
12.2.6.1 USA Decentralized Identity Market By Identity Type
12.2.6.2 USA Decentralized Identity Market By Organization Size
12.2.6.3 USA Decentralized Identity Market By End User
12.2.6.4 USA Decentralized Identity Market By Verticals
12.2.7 Canada
12.2.7.1 Canada Decentralized Identity Market By Identity Type
12.2.7.2 Canada Decentralized Identity Market By Organization Size
12.2.7.3 Canada Decentralized Identity Market By End User
12.2.7.4 Canada Decentralized Identity Market By Verticals
12.2.8 Mexico
12.2.8.1 Mexico Decentralized Identity Market By Identity Type
12.2.8.2 Mexico Decentralized Identity Market By Organization Size
12.2.8.3 Mexico Decentralized Identity Market By End User
12.2.8.4 Mexico Decentralized Identity Market By Verticals
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Decentralized Identity Market By Country
12.3.1.2 Eastern Europe Decentralized Identity Market By Identity Type
12.3.1.3 Eastern Europe Decentralized Identity Market By Organization Size
12.3.1.4 Eastern Europe Decentralized Identity Market By End-user
12.3.1.5 Eastern Europe Decentralized Identity Market By Verticals
12.3.1.6 Poland
12.3.1.6.1 Poland Decentralized Identity Market By Identity Type
12.3.1.6.2 Poland Decentralized Identity Market By Organization Size
12.3.1.6.3 Poland Decentralized Identity Market By End User
12.3.1.6.4 Poland Decentralized Identity Market By Verticals
12.3.1.7 Romania
12.3.1.7.1 Romania Decentralized Identity Market By Identity Type
12.3.1.7.2 Romania Decentralized Identity Market By Organization Size
12.3.1.7.3 Romania Decentralized Identity Market By End-user
12.3.1.7.4 Romania Decentralized Identity Market By Verticals
12.3.1.8 Hungary
12.3.1.8.1 Hungary Decentralized Identity Market By Identity Type
12.3.1.8.2 Hungary Decentralized Identity Market By Organization Size
12.3.1.8.3 Hungary Decentralized Identity Market By End User
12.3.1.8.4 Hungary Decentralized Identity Market By Verticals
12.3.1.9 Turkey
12.3.1.9.1 Turkey Decentralized Identity Market By Identity Type
12.3.1.9.2 Turkey Decentralized Identity Market By Organization Size
12.3.1.9.3 Turkey Decentralized Identity Market By End User
12.3.1.9.4 Turkey Decentralized Identity Market By Verticals
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Decentralized Identity Market By Identity Type
12.3.1.10.2 Rest of Eastern Europe Decentralized Identity Market By Organization Size
12.3.1.10.3 Rest of Eastern Europe Decentralized Identity Market By End-user
12.3.1.10.4 Rest of Eastern Europe Decentralized Identity Market By Verticals
12.3.2 Western Europe
12.3.2.1 Western Europe Decentralized Identity Market By Country
12.3.2.2 Western Europe Decentralized Identity Market By Identity Type
12.3.2.3 Western Europe Decentralized Identity Market By Organization Size
12.3.2.4 Western Europe Decentralized Identity Market By End-user
12.3.2.5 Western Europe Decentralized Identity Market By Verticals
12.3.2.6 Germany
12.3.2.6.1 Germany Decentralized Identity Market By Identity Type
12.3.2.6.2 Germany Decentralized Identity Market By Organization Size
12.3.2.6.3 Germany Decentralized Identity Market By End User
12.3.2.6.4 Germany Decentralized Identity Market By Verticals
12.3.2.7 France
12.3.2.7.1 France Decentralized Identity Market By Identity Type
12.3.2.7.2 France Decentralized Identity Market By Organization Size
12.3.2.7.3 France Decentralized Identity Market By End User
12.3.2.7.4 France Decentralized Identity Market By Verticals
12.3.2.8 UK
12.3.2.8.1 UK Decentralized Identity Market By Identity Type
12.3.2.8.2 UK Decentralized Identity Market By Organization Size
12.3.2.8.3 UK Decentralized Identity Market By End User
12.3.2.8.4 UK Decentralized Identity Market By Verticals
12.3.2.9 Italy
12.3.2.9.1 Italy Decentralized Identity Market By Identity Type
12.3.2.9.2 Italy Decentralized Identity Market By Organization Size
12.3.2.9.3 Italy Decentralized Identity Market By End User
12.3.2.9.4 Italy Decentralized Identity Market By Verticals
12.3.2.10 Spain
12.3.2.10.1 Spain Decentralized Identity Market By Identity Type
12.3.2.10.2 Spain Decentralized Identity Market By Organization Size
12.3.2.10.3 Spain Decentralized Identity Market By End User
12.3.2.10.4 Spain Decentralized Identity Market By Verticals
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Decentralized Identity Market By Identity Type
12.3.2.11.2 Netherlands Decentralized Identity Market By Organization Size
12.3.2.11.3 Netherlands Decentralized Identity Market By End User
12.3.2.11.4 Netherlands Decentralized Identity Market By Verticals
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Decentralized Identity Market By Identity Type
12.3.2.12.2 Switzerland Decentralized Identity Market By Organization Size
12.3.2.12.3 Switzerland Decentralized Identity Market By End User
12.3.2.12.4 Switzerland Decentralized Identity Market By Verticals
12.3.2.13 Austria
12.3.2.13.1 Austria Decentralized Identity Market By Identity Type
12.3.2.13.2 Austria Decentralized Identity Market By Organization Size
12.3.2.13.3 Austria Decentralized Identity Market By End User
12.3.2.13.4 Austria Decentralized Identity Market By Verticals
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Decentralized Identity Market By Identity Type
12.3.2.14.2 Rest of Western Europe Decentralized Identity Market By Organization Size
12.3.2.14.3 Rest of Western Europe Decentralized Identity Market By End User
12.3.2.14.4 Rest of Western Europe Decentralized Identity Market By Verticals
12.4 Asia-Pacific
12.4.1 Asia Pacific Decentralized Identity Market By Country
12.4.2 Asia Pacific Decentralized Identity Market By Identity Type
12.4.3 Asia Pacific Decentralized Identity Market By Organization Size
12.4.4 Asia Pacific Decentralized Identity Market By End User
12.4.5 Asia Pacific Decentralized Identity Market By Verticals
12.4.6 China
12.4.6.1 China Decentralized Identity Market By Identity Type
12.4.6.2 China Decentralized Identity Market By Organization Size
12.4.6.3 China Decentralized Identity Market By End User
12.4.6.4 China Decentralized Identity Market By Verticals
12.4.7 India
12.4.7.1 India Decentralized Identity Market By Identity Type
12.4.7.2 India Decentralized Identity Market By Organization Size
12.4.7.3 India Decentralized Identity Market By End User
12.4.7.4 India Decentralized Identity Market By Verticals
12.4.8 Japan
12.4.8.1 Japan Decentralized Identity Market By Identity Type
12.4.8.2 Japan Decentralized Identity Market By Organization Size
12.4.8.3 Japan Decentralized Identity Market By End User
12.4.8.4 Japan Decentralized Identity Market By Verticals
12.4.9 South Korea
12.4.9.1 South Korea Decentralized Identity Market By Identity Type
12.4.9.2 South Korea Decentralized Identity Market By Organization Size
12.4.9.3 South Korea Decentralized Identity Market By End User
12.4.9.4 South Korea Decentralized Identity Market By Verticals
12.4.10 Vietnam
12.4.10.1 Vietnam Decentralized Identity Market By Identity Type
12.4.10.2 Vietnam Decentralized Identity Market By Organization Size
12.4.10.3 Vietnam Decentralized Identity Market By End User
12.4.10.4 Vietnam Decentralized Identity Market By Verticals
12.4.11 Singapore
12.4.11.1 Singapore Decentralized Identity Market By Identity Type
12.4.11.2 Singapore Decentralized Identity Market By Organization Size
12.4.11.3 Singapore Decentralized Identity Market By End User
12.4.11.4 Singapore Decentralized Identity Market By Verticals
12.4.12 Australia
12.4.12.1 Australia Decentralized Identity Market By Identity Type
12.4.12.2 Australia Decentralized Identity Market By Organization Size
12.4.12.3 Australia Decentralized Identity Market By End User
12.4.12.4 Australia Decentralized Identity Market By Verticals
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Decentralized Identity Market By Identity Type
12.4.13.2 Rest of Asia-Pacific Decentralized Identity Market By Organization Size
12.4.13.3 Rest of Asia-Pacific Decentralized Identity Market By End User
12.4.13.4 Rest of Asia-Pacific Decentralized Identity Market By Verticals
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Decentralized Identity Market By Country
12.5.1.2 Middle East Decentralized Identity Market By Identity Type
12.5.1.3 Middle East Decentralized Identity Market By Organization Size
12.5.1.4 Middle East Decentralized Identity Market By End User
12.5.1.5 Middle East Decentralized Identity Market By Verticals
12.5.1.6 UAE
12.5.1.6.1 UAE Decentralized Identity Market By Identity Type
12.5.1.6.2 UAE Decentralized Identity Market By Organization Size
12.5.1.6.3 UAE Decentralized Identity Market By End User
12.5.1.6.4 UAE Decentralized Identity Market By Verticals
12.5.1.7 Egypt
12.5.1.7.1 Egypt Decentralized Identity Market By Identity Type
12.5.1.7.2 Egypt Decentralized Identity Market By Organization Size
12.5.1.7.3 Egypt Decentralized Identity Market By End User
12.5.1.7.4 Egypt Decentralized Identity Market By Verticals
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Decentralized Identity Market By Identity Type
12.5.1.8.2 Saudi Arabia Decentralized Identity Market By Organization Size
12.5.1.8.3 Saudi Arabia Decentralized Identity Market By End User
12.5.1.8.4 Saudi Arabia Decentralized Identity Market By Verticals
12.5.1.9 Qatar
12.5.1.9.1 Qatar Decentralized Identity Market By Identity Type
12.5.1.9.2 Qatar Decentralized Identity Market By Organization Size
12.5.1.9.3 Qatar Decentralized Identity Market By End User
12.5.1.9.4 Qatar Decentralized Identity Market By Verticals
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Decentralized Identity Market By Identity Type
12.5.1.10.2 Rest of Middle East Decentralized Identity Market By Organization Size
12.5.1.10.3 Rest of Middle East Decentralized Identity Market By End User
12.5.1.10.4 Rest of Middle East Decentralized Identity Market By Verticals
12.5.2. Africa
12.5.2.1 Africa Decentralized Identity Market By Country
12.5.2.2 Africa Decentralized Identity Market By Identity Type
12.5.2.3 Africa Decentralized Identity Market By Organization Size
12.5.2.4 Africa Decentralized Identity Market By End User
12.5.2.5 Africa Decentralized Identity Market By Verticals
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Decentralized Identity Market By Identity Type
12.5.2.6.2 Nigeria Decentralized Identity Market By Organization Size
12.5.2.6.3 Nigeria Decentralized Identity Market By End User
12.5.2.6.4 Nigeria Decentralized Identity Market By Verticals
12.5.2.7 South Africa
12.5.2.7.1 South Africa Decentralized Identity Market By Identity Type
12.5.2.7.2 South Africa Decentralized Identity Market By Organization Size
12.5.2.7.3 South Africa Decentralized Identity Market By End User
12.5.2.7.4 South Africa Decentralized Identity Market By Verticals
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Decentralized Identity Market By Identity Type
12.5.2.8.2 Rest of Africa Decentralized Identity Market By Organization Size
12.5.2.8.3 Rest of Africa Decentralized Identity Market By End User
12.5.2.8.4 Rest of Africa Decentralized Identity Market By Verticals
12.6. Latin America
12.6.1 Latin America Decentralized Identity Market By Country
12.6.2 Latin America Decentralized Identity Market By Identity Type
12.6.3 Latin America Decentralized Identity Market By Organization Size
12.6.4 Latin America Decentralized Identity Market By End User
12.6.5 Latin America Decentralized Identity Market By Verticals
12.6.6 Brazil
12.6.6.1 Brazil Decentralized Identity Market By Identity Type
12.6.6.2 Brazil Decentralized Identity Market By Organization Size
12.6.6.3 Brazil Decentralized Identity Market By End User
12.6.6.4 Brazil Decentralized Identity Market By Verticals
12.6.7 Argentina
12.6.7.1 Argentina Decentralized Identity Market By Identity Type
12.6.7.2 Argentina Decentralized Identity Market By Organization Size
12.6.7.3 Argentina Decentralized Identity Market By End User
12.6.7.4 Argentina Decentralized Identity Market By Verticals
12.6.8 Colombia
12.6.8.1 Colombia Decentralized Identity Market By Identity Type
12.6.8.2 Colombia Decentralized Identity Market By Organization Size
12.6.8.3 Colombia Decentralized Identity Market By End User
12.6.8.4 Colombia Decentralized Identity Market By Verticals
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin Americas Decentralized Identity Market By Identity Type
12.6.9.2 Rest of Latin America Decentralized Identity Market By Organization Size
12.6.9.3 Rest of Latin America Decentralized Identity Market By End User
12.6.9.4 Rest of Latin America Decentralized Identity Market By Verticals
13. Company Profile
13.1 Validated ID
13.1.1 Company Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Persistent
13.2.1 Company Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Microsoft.
13.3.1 Company Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 Wipro.
13.4.1 Company Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Dragonchain.
13.5.1 Company Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 SecureKey Technologies.
13.6.1 Company Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 Accenture.
13.7.1 Company Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Avast.
13.8.1 Company Overview
13.8.2 Financials
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Datarella
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Ping Identity.
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
14.3.1 Industry News
14.3.2 Company News
14.3 Mergers & Acquisitions
15. USE Cases and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The CAD and PLM Software Market size was valued at USD 14.89 billion in 2022 and is expected to grow to USD 26.55 billion by 2030 and grow at a CAGR of 7.5 % over the forecast period of 2023-2030.
The Data Historian Market size was USD 1.1 billion in 2022 and is expected to Reach USD 4.96 billion by 2030 and grow at a CAGR of 20.7% over the forecast period of 2023-2030.
Cognitive Assessment and Training Market size was valued at USD 5.17 Bn in 2023 and is expected to reach USD 33.72 Bn by 2031 with a growing CAGR of 26.4 % over the forecast period 2024-2031.
The E-Invoicing Market size was valued at USD 10.92 Bn in 2022 and is expected to reach USD 46.68 Bn by 2030, and grow at a CAGR of 19.91% over the forecast period 2023-2030.
The Mobile and wireless backhaul market was valued at USD 11.32 billion in 2022, and is predicted to increase at a CAGR of 9.20 % from 2023 to 2030, to reach USD 22.89 billion.
The Network Security Policy Management Market size was valued at USD 1.9 Billion in 2023 and is expected to hit USD 3.28 Billion by 2031 with a growing CAGR of 6.9% over the forecast period of 2024-2031.
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