Market Context — Why This Technology, Why Now

The global shift towards user-centric data models is accelerating, driven by stringent privacy regulations and increasing consumer demand for control over personal information. Traditional platform-centric data silos face rising compliance costs and declining user trust. This technology provides a timely solution, enabling companies to build stronger user relationships and unlock new personalization capabilities while navigating complex regulatory landscapes, potentially reducing customer acquisition costs by 10%.

Key Competitive Advantages
01

Establishes User Data Sovereignty: Directly transmits viewing data to the user's Personal Data Store, enhancing regulatory compliance and improving user engagement.

02

Enables High-Precision Personalization: Leverages rich, user-managed viewing data to provide more accurately tailored content recommendations and advertising.

03

Reduces Platform Dependency: Improves data flow flexibility by avoiding data lock-in by specific providers, facilitating inter-service collaboration and new value creation.

Market Opportunity
📺 Video Streaming Services
$1B globally (AI est.)
Integrating user viewing history with a PDS could enable more precise recommendations, contributing to increased customer engagement and retention rates.
Major streaming service providers Niche content platforms Media and entertainment conglomerates
🌐 Digital Advertising & Marketing
$20B globally (AI est.)
This technology could enable more detailed viewing data utilization based on user consent, maximizing advertising effectiveness while ensuring compliance with privacy regulations.
Digital advertising platforms Marketing technology vendors Data management platform (DMP) providers
🔐 Data Governance & PHR
$33.5B globally (AI est.)
The concept of user-centric data management has the potential for application as a data distribution platform in sensitive information fields, such as Personal Health Records (PHR) in healthcare.
Healthcare IT solution providers Personal Health Record (PHR) system developers Data privacy and governance solution vendors
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a unique system for user-driven viewing data linkage, encompassing event detection, data transmission to a Personal Data Store (PDS), and authentication control. Its strong claims, supported by a limited number of prior art references and successful prosecution, indicate a robust and difficult-to-invalidate right.

Competitive White Space

This patent primarily covers the secure transmission of viewing data to a PDS. White space exists in developing advanced analytics tools for data *within* the PDS, creating standardized interoperability protocols between diverse PDS systems, or designing innovative user interfaces for managing personal data.

Economic Impact
~$1M/year estimated user trust improvement per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Implementing this technology strengthens user trust and reduces data privacy compliance costs. This contributes to avoiding litigation risks and improving customer retention rates associated with traditional data management. For example, a service with 3 million annual users could see an estimated economic benefit of ~$1M/year (AI est.) by improving data-related churn by 0.5% at an average customer value of ~$67/user (AI est.).

Speed to Market
4× faster than in-house development
This technology's specific functional components—event detection for viewing data, external PDS integration, and authentication control—are well-defined in the patent, lowering technical barriers for new development. It is expected to integrate relatively easily into existing video streaming systems or content platforms via API connections or module additions. High compatibility with PDS standards (e.g., MyData) and the potential for algorithm implementation based on empirical data could shorten time-to-market by approximately 2.7 years compared to in-house development.
Competitive Positioning

X: User Data Sovereignty
Y: Personalization Capability

Business Models & Applications
💎 Premium Content Offerings
Leverage detailed viewing data stored in PDS to offer exclusive content and personalized plans perfectly aligned with user preferences, contributing to subscriber acquisition and retention.
🔗 Data Linkage Ecosystem
Securely link viewing data from PDS with other services (e.g., e-commerce, education) with user consent, fostering cross-industry collaboration and creating new business models and revenue streams.
🎯 Targeted Advertising Optimization
Utilize high-quality, user-controlled viewing data to enable privacy-conscious, high-precision ad targeting. Maximize value for advertisers and increase revenue.
Adjacent Application Opportunities
⚕️ Healthcare & PHR
Personalized Health Management via PHR
Beyond health check results and wearable data, this technology could aggregate medical content viewing history into a PDS. With user consent, it could personalize and deliver optimal health promotion programs or disease prevention information, enhancing patient engagement by 20%.
🎓 Education & Learning
Individually Optimized Learning Paths
Record video course viewing progress and comprehension test results from e-learning platforms into a PDS. This could automatically recommend optimal curricula or review content based on individual learning styles and proficiency, potentially boosting course completion rates by 15%.
🛍️ Retail & E-commerce
Purchase Behavior Prediction & Product Recommendation
Store viewing history of product introduction videos and live commerce sessions in a PDS. This could build next-generation e-commerce platforms that personalize product recommendations and provide related information for items under consideration, potentially increasing conversion rates by 10%.
Integration Roadmap — Estimated 13-Month Deployment
Phase 1: Requirements & PDS Validation
Duration: 3 months
Define integration requirements with the licensee's existing systems and verify API connectivity and authentication protocol compatibility with target Personal Data Stores.
Phase 2: Feature Development & Testing
Duration: 6 months
Develop and implement the patented functions (event detection, data transmission, authentication control) into existing systems. Conduct internal integration tests and performance evaluations.
Phase 3: Pilot Deployment & Evaluation
Duration: 4 months
Pilot the technology with a limited user group. Measure user experience, data linkage stability, and privacy compliance to finalize adjustments for full deployment.
Technical Feasibility
This technology is patented with a modular structure comprising an "event detection unit" for video content playback events, a "viewing data linkage unit" for transmitting data to a Personal Data Store (PDS), and an "authentication information control unit" for managing PDS access authentication, making software implementation straightforward. It is expected to integrate into existing video streaming systems and web application backends via API connections. No special hardware additions or large-scale modifications are required, allowing for deployment using existing IT infrastructure.
Success Scenario
Upon adopting this technology, users could gain greater control over their viewing data, potentially increasing service trust and content retention rates by 15%. This could enable adopting companies to establish deeper user engagement and reduce new customer acquisition costs by 10% annually through personalized content experiences.
Patent Record
APPLICATION NO.
特願2021-031910
REGISTRATION NO.
7706246
FILING DATE
2021年03月01日
GRANT DATE
2025年07月03日
EXPIRATION DATE
2041年03月01日
PATENT HOLDER
日本放送協会
Examination History
2024年02月01日
出願審査請求書
2025年03月25日
拒絶理由通知書
2025年05月16日
手続補正書（自発・内容）
2025年05月16日
意見書
2025年06月03日
特許査定