Market Context — Why This Technology, Why Now

The global digital economy is increasingly driven by data, yet faces a trust deficit due to privacy concerns and data breaches. Regulatory frameworks worldwide are tightening, demanding greater transparency and user control over personal data. Companies that proactively adopt solutions like this, which offer immutable data utilization records and user-centric privacy, can differentiate themselves, gain a competitive edge, and unlock new revenue streams from enhanced data quality and user engagement.

Key Competitive Advantages
01

Establishes a Pioneering Market Position: This technology operates in a blue ocean space, with no similar prior art identified by examiners, offering potential for exclusive market dominance.

02

Balances Privacy and Data Utilization: Enables users to trace their viewing data utilization history, significantly enhancing data transparency while protecting privacy.

03

Dramatically Boosts Data Reliability: Utilizes distributed ledger technology to immutably record data access history, ensuring highly reliable data management for both operators and users.

Market Opportunity
Digital Content Distribution
$3B–$4B globally (AI est.)
By enabling users to manage and track their viewing history, this technology could increase trust in platforms, contributing to higher paid content subscriptions and improved retention rates.
Global streaming service providers Online education platforms Digital media publishers
Online Advertising & Marketing
$1.5B–$2.5B globally (AI est.)
Transparent, privacy-conscious data utilization could enhance personalization accuracy in advertising, build advertiser trust, and drive expansion in the targeted advertising market.
Ad-tech platform developers Digital marketing agencies Major online advertisers
Personal Data Management & DMP
$500M–$800M globally (AI est.)
As personal data management and consent acquisition become stricter, this technology could function as a user-driven data management foundation, adding new value to the Data Management Platform (DMP) market.
Enterprise data management software vendors Privacy compliance solution providers Identity management service providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a distributed ledger system designed for transparent personal data utilization, specifically viewing data, with 12 claims covering its core functions. Its strong novelty and inventiveness are evidenced by the examiner citing no prior art, suggesting a robust and difficult-to-invalidate right in a blue ocean market.

Competitive White Space

This patent primarily covers transparent tracing of viewing data utilization. White space exists in applying distributed ledger technology to other sensitive personal data types, such as health or financial records, or for broader data governance beyond mere traceability.

Economic Impact
~$1M/year estimated new data revenue and ~$250K/year risk reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming a 20% increase in user data provision willingness and a 1.2x improvement in collected data value due to enhanced trust, this technology could generate ~$1M/year (AI est.) in new revenue. Additionally, it could reduce the average annual risk of $350K (AI est.) from data privacy breaches and reputational damage by 80%, resulting in an estimated ~$250K/year (AI est.) in cost savings.

Speed to Market
5× faster than in-house development
Deployment of this technology is achievable in a relatively short timeframe due to the maturity of distributed ledger technology and its modular design, specifically tailored for viewing data integration. The core distributed ledger framework can leverage existing technologies, and its recording, referencing, and inquiry functions are designed for API/SDK integration, minimizing impact on existing systems. This significantly reduces the time required for Proof-of-Concept (PoC) and partial feature implementation, accelerating time-to-market.
Competitive Positioning

X: Data Utilization Transparency
Y: Privacy Protection Level

Business Models & Applications
🔑 Platform Licensing
License this technology to digital content distribution providers, enabling them to offer services that balance user privacy protection with effective data utilization.
☁️ SaaS Data Transparency Service
Offer this technology as a SaaS solution, helping small to medium-sized media companies and content providers easily implement transparent data management.
📊 Data Governance Audit Support
Leverage this technology to provide data auditing and consulting services, assisting companies in complying with user data regulations like GDPR and CCPA.
Adjacent Application Opportunities
🏭 Manufacturing & Supply Chain
Product Traceability Management
This technology could be adapted to record product manufacturing history, raw material sourcing, and distribution paths on a distributed ledger. Consumers could easily verify traceability via a smartphone app, enhancing food safety or proving authenticity for luxury goods, potentially boosting brand value by 15-20%.
🏥 Medical & Healthcare
Medical Data Consent Management
This technology could manage patient medical data (e.g., treatment history, medication, test results) usage consent and access history. Patients could understand how their data is used, establishing a secure and transparent data sharing foundation across multiple healthcare providers, potentially reducing data breach risks by over 50%.
🏙️ Smart City & IoT
IoT Data Utilization Transparency
Applicable to systems where residents can review the utilization history of sensor data and IoT device data in smart cities. This could transparently manage the use of power consumption, traffic volume, and environmental data, contributing to privacy-conscious smart city operations and potentially increasing citizen trust by 30%.
Integration Roadmap — Estimated 12-Month Deployment
Phase 1: Planning & Design
Duration: 3 months
Define implementation requirements for this technology, design integration with existing systems, and conduct initial design of the distributed ledger network.
Phase 2: Prototype Development & Validation
Duration: 6 months
Develop a prototype system based on the design, and verify and test viewing data integration and history tracking functions in a limited environment.
Phase 3: Production Deployment & Operation
Duration: 3 months
Based on validation results, deploy the system to a production environment, establish operational structures, and initiate feature expansion and optimization after stable operation.
Technical Feasibility
This technology is comprised of functional modules for ledger recording, ledger referencing, and reference history inquiry, allowing integration with existing content distribution platforms and data management systems via API linkage or SDK embedding. Its specialization in viewing data transmission, reception, and history management means it could be introduced relatively easily and with low overhead, without requiring extensive modifications to the overall system.
Success Scenario
Upon adopting this technology, users could verify how their viewing data is utilized in real-time, potentially increasing trust in the platform and reducing reluctance to provide data. This could enable adopting companies to consistently collect higher-quality user data, facilitating personalized service offerings and the creation of new advertising revenue models.
Patent Record
APPLICATION NO.
特願2021-118665
REGISTRATION NO.
7664781
FILING DATE
2021年07月19日
GRANT DATE
2025年04月10日
EXPIRATION DATE
2041年07月19日
PATENT HOLDER
日本放送協会
Examination History
2024年06月19日
出願審査請求書
2025年03月11日
特許査定