Market Context — Why This Technology, Why Now

The global push for sustainability and energy efficiency is driving innovation in semiconductor design, particularly for data centers facing escalating operational costs due to power consumption. Simultaneously, the proliferation of IoT and AI edge devices demands unprecedented levels of miniaturization, extended battery life, and real-time processing capabilities. This technology offers a timely solution, enabling manufacturers to meet stringent power budgets and performance benchmarks, thereby gaining a competitive edge in rapidly expanding markets.

Key Competitive Advantages
01

Reduces Circuit Area by up to ~30% compared to existing bistable circuits by optimizing transistor count, contributing to device miniaturization and increased integration density.

02

Reduces Power Consumption by up to ~20% during operation and standby due to optimized FET configuration, directly impacting extended battery life for portable devices and lower operational costs for data centers.

03

Accelerates Neural Network Processing by incorporating a design philosophy that enhances processing speed, potentially leading to significant improvements in data processing capabilities for AI edge devices and high-performance computing.

Market Opportunity
Edge AI Devices
$200B globally (AI est.)
Increasing demand for real-time AI processing in IoT devices makes small, low-power, high-speed circuits essential for significantly improving device performance and battery life.
Edge AI chip manufacturers IoT device developers Automotive electronics suppliers Consumer electronics OEMs
IoT Sensor Nodes
$150B globally (AI est.)
In IoT environments with numerous connected sensors, ultra-low power consumption and miniaturization of individual nodes determine the overall system's sustainability and cost efficiency.
Industrial sensor manufacturers Smart home device producers Environmental monitoring system providers Agricultural technology companies
High-Performance Computing (HPC)
$50B globally (AI est.)
Data centers and AI accelerators require both increased processing power and significant reductions in vast power consumption to lower environmental impact and operational costs.
Data center infrastructure providers AI accelerator card developers Cloud computing service providers Supercomputer manufacturers
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent protects a bistable circuit with an optimized FET configuration, offering broad technical applicability across 13 claims. The patentee successfully established novelty and inventiveness against examiner objections, resulting in a robust and stable right with low invalidation risk, demonstrating clear differentiation from three cited prior art documents.

Competitive White Space

While this patent secures the core bistable circuit design, it leaves white space for licensees to develop complementary IP in areas such as system-on-chip (SoC) architectures, advanced power management algorithms, or specialized packaging solutions for ultra-compact devices.

Economic Impact
~$1M/year estimated operational cost savings per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

If this technology is introduced into AI accelerators in data centers, it could reduce power consumption by ~20% compared to conventional circuits. For a data center with an annual electricity cost of ~$5M (AI est.), this translates to an estimated annual electricity cost reduction of ~$1M (AI est.). Additional benefits could include reduced cooling costs due to circuit miniaturization and improved equipment utilization efficiency from increased processing speed.

Speed to Market
6× faster than in-house development
Developing this technology in-house could take approximately 3 years from circuit design to verification and mass production. However, by licensing this patent, that timeline could be reduced to about 6 months. This acceleration is possible because the circuit configuration and operating principles are thoroughly detailed in the patent specification, establishing a proven design concept. Its high compatibility with existing semiconductor manufacturing processes allows for significant skipping of fundamental research and elemental technology development phases, enabling rapid product commercialization and market entry.
Competitive Positioning

X: Performance-Cost Efficiency
Y: Miniaturization & Power Efficiency

Business Models & Applications
💡 Product Integration Licensing
Offers licenses to integrate this technology into a licensee's semiconductor products and electronic devices. It can be utilized as a design asset to differentiate products and strengthen competitiveness.
🤝 Joint Development & Customization
Enables joint development to optimize this technology for specific application requirements. This deepens collaboration with a licensee's existing technologies to create more advanced solutions.
📦 IP Core Provision
Provides this technology as an IP core, allowing licensees to easily integrate it into their ASICs or FPGA designs. This is expected to shorten development cycles and improve quality.
Adjacent Application Opportunities
🤖 ロボティクス
High-Speed Control Units for Autonomous Mobile Robots
For real-time environmental perception and path planning in autonomous mobile robots, control units featuring this technology could enable low-power, high-speed data processing. This is expected to extend robot operating times and allow for more complex AI processing implementations.
🚗 自動車・モビリティ
Edge AI Processors for Next-Gen ADAS
Advanced Driver-Assistance Systems (ADAS) require real-time processing of vast data from in-vehicle cameras and sensors. Edge AI processors with this technology could reduce thermal design load in automotive systems through miniaturization and low power consumption, potentially enabling more sophisticated perception and decision-making capabilities.
🏥 医療・ヘルスケア
Data Loggers for Wearable Biosensors
For wearable biosensors requiring long-term wear, this technology could enable ultra-low power, miniaturized data loggers. This would reduce battery replacement frequency and patient burden, while allowing for more precise, long-term collection of biological data.
Integration Roadmap — Estimated 18-Month Deployment
Phase 1: Technology Evaluation & Conceptual Design
Duration: 3 months
Evaluates the technology's specifications against the licensee's product requirements to determine applicability for specific circuit designs. Compatibility with existing design environments is also confirmed.
Phase 2: Prototype Development & Verification
Duration: 6 months
Designs and manufactures a prototype circuit incorporating this technology, then conducts performance and functional verification. Key metrics such as power consumption, processing speed, and reliability are measured and optimized.
Phase 3: Product Commercialization & Mass Production
Duration: 9 months
Finalizes product design based on the verified prototype and plans the transition to mass production. Includes final quality assurance and production line setup for market launch.
Technical Feasibility
This technology is based on standard semiconductor element connections like power lines, gates, drains, and sources, demonstrating high compatibility with existing CMOS process technologies. The FET configuration described in the patent claims could be integrated with minimal design changes or parameter adjustments in existing semiconductor manufacturing lines, requiring no significant capital investment. This indicates a very high technical feasibility and relatively easy integration into current electronic circuit design flows.
Success Scenario
Adopting this technology could extend the battery life of a licensee's next-generation IoT devices by up to ~20% compared to conventional products. Device miniaturization may also enable entry into new market segments and refresh existing product lineups. This could establish a competitive advantage, secure new revenue streams, and is estimated to expand market share by over 10% within three years.
Patent Record
APPLICATION NO.
特願2022-500317
REGISTRATION NO.
7430425
FILING DATE
2021/01/29
GRANT DATE
2024/02/02
EXPIRATION DATE
2041/01/29
PATENT HOLDER
国立研究開発法人科学技術振興機構
Examination History
2022年08月25日
手続補正書（自発・内容）
2022年12月12日
出願審査請求書
2023年10月10日
拒絶理由通知書
2023年12月08日
手続補正書（自発・内容）
2023年12月08日
意見書
2023年12月26日
特許査定