Market Context — Why This Technology, Why Now

The global digital economy is increasingly reliant on data, yet faces growing public scrutiny and regulatory enforcement regarding privacy. Enterprises are struggling to leverage valuable datasets for innovation without incurring substantial compliance risks and costs. This technology offers a timely solution, aligning with the global shift towards privacy-enhancing technologies (PETs) and decentralized data governance models. It enables organizations to unlock new revenue streams and operational efficiencies from data, estimated to be a $65B+ global market, while proactively addressing consumer trust and regulatory demands.

Key Competitive Advantages
01

Enables secure data utilization while preserving privacy by extracting common information from personal data, significantly reducing traditional privacy infringement risks.

02

Establishes robust and broad protection with 8 claims, meticulously designed by multiple prominent agents, and proven stable by overcoming two office actions.

03

Achieves market differentiation through a unique secure common set computation mechanism that surpasses existing technological limitations, validated by prior art searches.

Market Opportunity
Healthcare and Medical
$2B–$3B globally (AI est.)
By securely sharing and analyzing patient medical information (e.g., disease history, medication data) across different hospitals and research institutions, this technology could advance personalized medicine and streamline new drug development.
Major hospital networks Pharmaceutical R&D firms Health data analytics platforms Medical device manufacturers
Financial Services and Insurance
$1.5B–$2B globally (AI est.)
This technology could analyze customer purchasing history and behavioral data under privacy protection, enhancing the accuracy of personalized financial products and risk assessment models for banks and insurance providers.
Retail banks and credit unions Insurance providers FinTech solution developers Investment management firms
Smart Cities and Public Services
$1B–$1.5B globally (AI est.)
By linking and analyzing traffic, environmental, and behavioral data while safeguarding resident privacy, this technology could contribute to efficient urban management and the creation of new public services.
Urban planning and development agencies Public transportation operators Smart infrastructure providers Government IT contractors
Marketing and Advertising
$1B–$1.5B globally (AI est.)
By securely linking user behavior and preference data between companies while maintaining privacy, this technology could enable more precise targeted advertising and personalized content delivery.
Digital advertising platforms Marketing analytics firms E-commerce companies Data management platform (DMP) providers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects an information processing apparatus, system, and program designed for secure common set computation. Its robust claims, refined through successful responses to two office actions and involvement of multiple prominent agents, indicate a strong, difficult-to-invalidate intellectual property asset.

Competitive White Space

This patent primarily covers the secure computation of common data sets. White space exists in developing specific industry-vertical applications, advanced cryptographic protocols for data transformation, or novel hardware-based secure execution environments that could complement this software-centric approach.

Economic Impact
~$200K/year estimated data utilization cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

Assuming an average annual cost of $400K (AI est.) for personal data anonymization, legal, and security measures, this technology could reduce workload and risk by 50%. This projects a direct annual cost reduction of $200K (AI est.) per facility.

Speed to Market
6× faster than in-house development
Developing this technology in-house from scratch would require at least 3 years of R&D and significant investment to establish secure common set computation algorithms, design data transformation rules, and implement the information processing system. This patent clearly outlines solutions to these technical challenges with established core algorithms, potentially reducing time-to-market to approximately 6 months for licensees, enabling significant first-mover advantage.
Competitive Positioning

X: Data Utilization Flexibility
Y: Privacy Protection Strength

Business Models & Applications
🔗 Secure Data Linkage Platform
Offer a platform based on this technology to mediate secure data linkage between enterprises. Monetize through usage fees by providing data access and analysis services via API.
💡 Privacy-Enhanced Data Analytics Solution
Utilize this technology to analyze customer personal data while anonymizing it. Provide insight extraction services and strategic consulting based on the results, offering added value.
⚖️ Compliance Support and Audit Tool
Deploy as a SaaS tool that automates data management and linkage processes compliant with regulations like GDPR. This could help companies reduce compliance costs.
Adjacent Application Opportunities
🏥 Healthcare and Medical
Enhanced Diagnosis via Inter-Hospital Data Linkage
By securely linking and analyzing patient medical records (e.g., disease history, medication information) from multiple hospitals while protecting privacy, this technology could contribute to early detection of rare diseases and the development of personalized treatment plans. This is expected to improve overall diagnostic accuracy and treatment efficacy across healthcare institutions.
💰 Financial Services and Insurance
Fraud Detection through Cross-Financial Institution Analysis
Linking customer transaction histories and behavioral data from different financial institutions, while keeping them confidential, could allow for the extraction of common fraud patterns. This has the potential to dramatically improve the accuracy of detecting money laundering and fraudulent activities, strengthening financial institutions' risk management and protecting customer assets.
🏘️ Smart City
Optimizing Urban Services with Public-Private Data
By securely linking public data, such as resident mobility and public facility usage, with private sector transportation services and commercial facilities, this technology could optimize urban functions and create new regional services. This is expected to enhance resident convenience and contribute to sustainable urban development, impacting millions of citizens.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Requirements Definition and Technical Validation
Duration: 4 months
Define integration requirements with the licensee's existing systems and validate the applicability of this technology's secure common set computation unit to existing data. Confirm technical suitability through a Proof of Concept (PoC).
Phase 2: Prototype Development and Testing
Duration: 7 months
Develop a prototype system incorporating this technology based on validation results. Conduct detailed tests on the performance, accuracy, and security of secure common set computation using real data, followed by optimization.
Phase 3: Full-Scale Deployment and Operation Optimization
Duration: 7 months
Proceed with full-scale deployment into the production environment following successful prototype validation. Continuously monitor performance post-launch and optimize data transformation rules and computation logic to maximize effectiveness.
Technical Feasibility
This technology is structured as an 'information processing apparatus, information processing system, and program,' primarily designed for software implementation. The patent claims and detailed descriptions clearly define modular components such as a reception unit, set conversion unit, and secure common set computation unit. This modularity suggests relatively easy integration as a software module into existing information processing systems. It also exhibits high compatibility with general-purpose data processing platforms and cloud environments, enabling deployment using existing infrastructure without significant capital investment.
Success Scenario
Implementing this technology could enable enterprises to securely link customer data across multiple departments and with external partners while maintaining privacy. This could accelerate data-driven marketing and new service development, which were previously hindered by privacy risks. It is estimated to potentially improve customer engagement by approximately 15% annually and shorten new product development cycles by 20%. Ultimately, rapid, data-informed decision-making could significantly enhance market competitiveness.
Patent Record
APPLICATION NO.
特願2020-016293
REGISTRATION NO.
7458805
FILING DATE
2020/02/03
GRANT DATE
2024/03/22
EXPIRATION DATE
2040/02/03
PATENT HOLDER
日本放送協会
Examination History
2023年01月05日
出願審査請求書
2023年07月04日
拒絶理由通知書
2023年09月04日
意見書
2023年09月04日
手続補正書（自発・内容）
2023年11月28日
拒絶理由通知書
2024年01月29日
意見書
2024年01月29日
手続補正書（自発・内容）
2024年02月20日
特許査定