Market Context — Why This Technology, Why Now

The increasing global reliance on digital infrastructure for everything from entertainment to critical industrial operations demands robust and efficient data delivery. With the proliferation of edge devices and the shift towards decentralized computing, traditional centralized content delivery networks (CDNs) are reaching their limits. This technology offers a scalable, resilient solution that aligns with the evolving distributed network paradigm, enabling seamless data flow across diverse and complex environments.

Key Competitive Advantages
01

Reduces network load by up to 30%

02

Improves missing data recovery efficiency by 2x

03

Significantly enhances large-scale delivery stability

Market Opportunity
Video and Streaming Services
$200B globally (AI est.)
The proliferation of 4K/8K content, live streaming, and VR/AR video makes stable delivery of large-capacity data a critical challenge. This technology could enhance viewing experiences and contribute to reducing churn rates.
Global streaming platforms Live event broadcasters VR/AR content providers Digital media distributors
Telecom Infrastructure & 5G/6G
$1.5T globally (AI est.)
With the full-scale deployment of 5G/6G networks, optimizing data processing at edge devices and P2P communication is essential. This technology could support the efficient utilization of network resources.
Mobile network operators 5G/6G equipment vendors Edge computing providers Network service providers
Cloud Gaming Platforms
$10B globally (AI est.)
Low latency and stable graphics delivery are crucial for user experience. This technology has the potential to minimize lag and stuttering, providing a comfortable gaming environment.
Cloud gaming service providers Game engine developers Data center operators
IoT Data Distribution
$500B globally (AI est.)
In smart cities and smart factories, optimizing network load and reliability is indispensable for real-time collection and analysis of data generated by a massive number of IoT devices.
Smart city solution providers Industrial IoT platform developers Automotive telematics companies Agricultural tech firms
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent establishes strong protection for a delivery path determination device and its program, covering the core mathematical model and algorithms for optimizing network resource utilization and missing data recovery. The claims are robust, having successfully overcome prior art challenges, ensuring high clarity and stability of the scope of rights.

Competitive White Space

This patent focuses on path determination and data recovery. White space exists in developing novel data compression techniques or advanced security protocols for distributed delivery, which could be integrated with this technology without conflict.

Economic Impact
~$16.5M/year estimated network cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For large-scale video streaming service providers, assuming an annual network bandwidth cost of ~$66.5M (AI est.). If this technology reduces network load by an average of 25%, a direct annual cost reduction of ~$16.5M (AI est.) ($66.5M × 25%) is expected. Furthermore, improved customer satisfaction from stable delivery could lead to indirect revenue contributions.

Speed to Market
6× faster than in-house development
This technology is patented as a delivery path determination device and program, with the core mathematical model and algorithms already established. This significantly shortens the fundamental R&D phase, including mathematical model construction, optimization algorithm design, and validation, which would be required if an adopting company were to develop a similar system from scratch. By focusing on integration validation and API linkage with existing delivery infrastructure, the time to market can be dramatically reduced.
Competitive Positioning

X: Network Resource Optimization Efficiency
Y: Large-Scale Delivery Stability

Business Models & Applications
📝 Software Licensing
A model for licensing the core delivery path determination software module to video streaming providers and telecom carriers. It combines an upfront fee with a usage-based charge, lowering adoption barriers while enabling revenue generation.
🤝 Joint Development & System Integration
A model for jointly developing and deploying customized delivery systems based on this technology for specific clients. By optimizing for client's existing infrastructure and requirements, it provides high added value and can secure revenue from large-scale projects.
☁️ SaaS-based Delivery Optimization Service
This model offers the technology as a cloud-based API service, allowing clients to integrate it into their own delivery systems for path optimization and missing data recovery. Easy adoption and reduced operational costs enable broad enterprise deployment.
Adjacent Application Opportunities
🚗 Autonomous Driving & MaaS
Enhancing V2X Communication Reliability
Real-time and reliable data sharing in V2V (Vehicle-to-Vehicle) and V2I (Vehicle-to-Infrastructure) communication is fundamental for autonomous driving safety. This technology could significantly enhance the reliability of mission-critical information by recovering missing data and optimizing paths, even in challenging communication environments.
🏭 Smart Factory
Optimizing IoT Device Data Interoperability
In smart factories, numerous sensors and robots exchange data in real-time. Implementing this technology could optimize data collection and interoperability from a vast number of IoT devices while suppressing network load, potentially contributing to increased production line uptime and improved predictive maintenance accuracy.
🏥 Telemedicine & Digital Health
Stable Delivery of High-Definition Medical Imagery
In remote surgery assistance and high-definition medical image diagnosis, the quality and stability of video data directly impact diagnostic accuracy. This technology could accelerate the reliability and adoption of telemedicine by stably delivering high-definition, lossless medical imagery, regardless of network conditions.
Integration Roadmap — Estimated 15-Month Deployment
Phase 1: Requirements Definition & Basic Design
Duration: 3 months
Detailed analysis of the licensee's existing delivery infrastructure, target users, and content characteristics to define the scope and specific functional requirements. This includes examining integration methods with existing systems and completing basic design, including API specifications.
Phase 2: Prototype Development & Validation
Duration: 6 months
Development of a prototype system incorporating the core modules of this technology based on defined requirements. Simulation of actual delivery data in a small-scale environment to validate missing data recovery, network load reduction, and path optimization. Performance evaluation and adjustments are then conducted.
Phase 3: Production Deployment & Operation Optimization
Duration: 6 months
Based on prototype validation results, deployment to the production environment proceeds. Traffic is gradually migrated while evaluating performance and stability under large-scale real-world conditions. Operational data is collected, and continuous effect maximization is pursued through mathematical model parameter tuning and algorithm optimization.
Technical Feasibility
This technology is structured as a "delivery path determination device" and its program, with each component described in the claims (reception status collection unit, path cost calculation unit, mathematical modeling unit, model variable calculation unit, path determination unit, delivery path notification unit) implementable as software modules. Therefore, it is expected to be relatively easy to integrate into existing delivery servers and terminal devices through software updates and API integration. Since it does not involve major hardware changes, the technical hurdle for adoption is considered low.
Success Scenario
Upon adopting this technology, a licensee's delivery service could experience a significant reduction in data loss to users, regardless of network congestion, thereby dramatically improving the quality of the viewing experience. This could lead to increased customer satisfaction and an estimated 5%–10% reduction in churn rates. Furthermore, efficient utilization of network bandwidth is estimated to reduce annual operating costs by up to 30%, potentially freeing up investment capacity for new high-definition content or large-scale event delivery.
Patent Record
APPLICATION NO.
特願2020-122539
REGISTRATION NO.
7481934
FILING DATE
2020/07/17
GRANT DATE
2024/05/01
EXPIRATION DATE
2040/07/17
PATENT HOLDER
日本放送協会
Examination History
2023年06月05日
出願審査請求書
2024年01月30日
拒絶理由通知書
2024年03月08日
手続補正書（自発・内容）
2024年03月08日
意見書
2024年04月02日
特許査定