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DIGITAL TRUST MARKET ANALYSIS

Digital Trust Market, By End-Use Industry (Finance and Banking, Healthcare, Government, and Others (Insurance, Retail etc.)), By Solution Type (Data Verification, Authentication, ID Authentication, Fraud Prevention, Compliance, and Others (Data Management, Encryption etc.)), By Deployment Model (On-Premises, Cloud-based, and Hybrid), By Organization Size (Large Enterprise, Midmarket, Small Business, and Others (non-profits, government)), By Digital Identity Type (Centralized Identity, Decentralized Identity, and Federated Identity), By Geography (North America, Latin America, Europe, Asia Pacific, Middle East & Africa)

  • Published In : Jan 2024
  • Code : CMI6135
  • Pages :160
  • Formats :
      Excel and PDF
  • Industry : Smart Technologies

Digital Trust MarketSize and Trends

The Global Digital Trust Market size is estimated at US$ 308.34 Billion in 2023 and is expected to reach US$ 781.07 billion by 2030, growing at a compound annual growth rate (CAGR) of 14.2% from 2023 to 2030.

The digital trust market is a rapidly growing sector that revolves around establishing and maintaining trust in digital interactions and transactions. As businesses and individuals increasingly rely on digital technologies for various activities, trust becomes a critical factor in ensuring security, privacy, and reliability. The market encompasses a wide range of solutions, including identity verification, authentication, encryption, digital signatures, and fraud detection, among others.

With the rising prevalence of cyber threats and data breaches, organizations are focusing on implementing robust digital trust solutions to safeguard sensitive information and build confidence among their customers. The digital trust market is witnessing significant advancements in technologies like block chain, biometrics, and artificial intelligence, which are contributing to enhanced security and authentication measures. As the digital landscape continues to evolve, the digital trust market is poised to expand further, offering innovative solutions to address the trust and security challenges of the digital era.

Market Trends:

  • Decentralized Identity and Self-sovereign Identity (SSI): There is a growing interest in decentralized identity solutions and self-sovereign identity frameworks. These technologies empower individuals to have more control over their personal data and digital identities, reducing reliance on centralized identity providers and enhancing privacy. According to official data from the Ontario Digital ID program launched in 2021, over 1 million decentralized identities have already been created by residents to access over 140 government and private sector services.
  • Biometric Authentication: Biometric authentication methods, such as facial recognition, fingerprint scanning, and voice recognition, are becoming more prevalent in digital trust solutions. Biometrics offer secure and convenient user authentication, and their integration into various applications is on the rise. According to a 2021 survey by the United States Office of Personnel Management, about 80% of U.S. federal government employees are now using fingerprint or facial recognition to access networks and databases containing sensitive work-related information. This shows how biometric authentication is becoming the primary method of digital verification even for mission-critical government applications.
  • Zero Trust Security: The Zero Trust security model is gaining traction in the digital trust market. This approach assumes that no user or device can be inherently trusted, and access is granted based on continuous verification of identity and behavior, leading to enhanced security in an increasingly connected and distributed environment. According to a 2021 survey by the U.K. 's National Cyber Security Centre, zero trust adoption rates doubled year-over-year as organizations dealt with increased cyber threats from remote work.
  • AI-driven Threat Detection: Artificial intelligence (AI) and machine learning are being leveraged to detect and respond to cyber threats in real-time. AI-powered solutions can analyze vast amounts of data to identify patterns and anomalies, enabling proactive threat mitigation and fraud prevention. According to the FBI’s 2020 Internet Crime Report, AI-powered anti-fraud tools helped identify over 1.2 million suspicious financial transactions and blocked over US$2.3 billion in potential losses in the U.S. alone.

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