Market Context — Why This Technology, Why Now

The global economy is witnessing a surge in corporate digital transformation, with a strong emphasis on leveraging internal data and intellectual assets for strategic growth. Companies seek data-driven methodologies to de-risk innovation, identify synergistic partnerships, and accelerate market entry. This patent addresses the critical need for objective, AI-powered tools that transform complex IP portfolios into actionable insights for new business creation, driving M&A strategies and fostering open innovation.

Key Competitive Advantages
01

Ensures business stability through a robust patent, validated against multiple prior arts.

02

Identifies untapped market opportunities by analyzing non-competing IP to pinpoint advantageous technical areas.

03

Increases new business success probability by 10-15% through data-driven IP analysis and strategic combination of technologies.

Market Opportunity
Consulting & Think Tanks
$300M–$400M globally (AI est.)
To strengthen data-driven proposals and increase added value in supporting client companies' new business development.
Global management consulting firms Strategic advisory services Technology think tanks
Operating Companies (R&D/New Business)
$400M–$500M globally (AI est.)
Directly leads to increased efficiency and success rate in new business exploration utilizing internal technology seeds, hence high in-house development needs.
Large enterprise R&D departments Corporate venture capital units Innovation labs of Fortune 500 companies
Finance & Investment (VC/PE)
$150M–$250M globally (AI est.)
Objective IP analysis based on data is crucial for decision-making in technology evaluation and new business strategy formulation for investment targets.
Venture capital firms Private equity funds Investment banks' M&A divisions Corporate development teams
IP Defensibility — Why Competitors Can't Replicate This
What This Patent Covers

This patent establishes robust protection for a computer system, program, method, and apparatus for new business proposal, covering broad claims across 13 items. Its patentability was affirmed after multiple amendments and arguments, demonstrating clear differentiation from prior art and resilience against invalidation, providing a stable foundation for business deployment.

Competitive White Space

This patent focuses on the methodology for identifying new business areas through IP analysis. It does not cover specific AI models for market forecasting or the operational management systems for the proposed new ventures, offering white space for licensees to develop complementary solutions.

Economic Impact
~$1.0M/year estimated new business development cost reduction per facility (est.)
estimated ROI · USD · AI analysis
ROI Calculation Logic

For large enterprises, annual new business development costs range from several million to tens of millions of USD. Assuming a 20% reduction in effort during the business planning and market research phases, a company with average annual new business development expenses of ~$3.5M (AI est.) could save ~$0.5M (AI est.). Factoring in avoided losses from failed ventures and opportunity costs through objective, IP-data-driven proposals, an annual economic impact of ~$1.0M (AI est.) is projected.

Speed to Market
6× faster than in-house development
This technology's new business proposal logic is clearly defined within the patent claims as a computer system, program, and method, with established algorithms. This eliminates the need for licensees to conduct R&D from scratch, allowing them to focus on integration with existing IP databases and business strategy tools. Rapid transition from PoC to production is expected, potentially shortening time-to-market by approximately 2.5 years and enabling early business expansion.
Competitive Positioning

X: Business Success Probability
Y: New Business Exploration Efficiency

Business Models & Applications
💻 SaaS Platform Model
Offered as a cloud service where companies input their IP data and public competitor IP data to automatically propose new business areas. A monthly subscription model is envisioned.
💡 Consulting Service Integration
Provide data analysis services based on this technology as part of new business strategy consulting. Combine advanced IP strategy formulation with execution support to create high-value offerings.
📚 License for Universities & Research Institutions
License this system as a commercialization support tool for technology seeds held by universities and research institutions. This model contributes to promoting joint research and technology transfer.
Adjacent Application Opportunities
🔬 Pharmaceuticals & Biotech
Drug Discovery Target Exploration Support
This could analyze IP for existing and unapproved drugs, alongside disease-related technologies, to identify new drug discovery targets or drug repositioning opportunities, potentially accelerating R&D by 15-20%. It could also identify potential collaboration partners from non-competing research trends.
⚙️ Manufacturing (R&D)
New Material & Process Development Support
This could combine a company's core technologies (e.g., material processing) with cross-sector patents (e.g., AI, sensing) to propose new high-functional materials or innovative manufacturing processes, potentially reducing development cycles by 20%. It is expected to accelerate open innovation initiatives.
🌍 Environment & Energy
Green Transformation (GX) Technology Collaboration Platform
This could analyze a company's environmental technology IP alongside other firms' renewable energy and energy-saving IP, supporting new business models and technology collaborations for carbon neutrality, potentially unlocking $500M-$1B in new market value globally.
Integration Roadmap — Estimated 12-Month Deployment
Conception & Requirements Definition
Duration: 3 months
Interview the licensee's business strategy and IP portfolio to clarify system objectives and expected outcomes. Define requirements for necessary data integration.
System Construction & Verification
Duration: 6 months
Implement API integration and data consolidation with existing systems. Adjust the technology's algorithms to the licensee's data and conduct accuracy verification through simulations.
Production Operation & Strategy
Duration: 3 months
Deploy the system into a production environment and begin proposing new businesses using real data. Based on the proposed business candidates, formulate and execute specific commercialization strategies.
Technical Feasibility
This technology is defined as a computer system and program, enabling integration via API with existing IP management systems and market analysis tools. The patent claims clearly describe data input, extraction, and decision-making processes, indicating feasibility on general-purpose information processing platforms. It is expected to integrate into existing IT infrastructure much like a software update, without requiring significant capital investment, suggesting relatively low technical hurdles.
Success Scenario
Upon adoption, licensees could potentially reduce the time and cost associated with traditional new business exploration by approximately 20% annually. This would enable the validation of more new business ideas in shorter cycles, accelerating time-to-market. Furthermore, objective proposals based on IP data are estimated to improve business success probability by 10-15% compared to current methods, leading to a more return-on-investment-driven business portfolio.
Patent Record
APPLICATION NO.
特願2020-019445
REGISTRATION NO.
7454213
FILING DATE
2020/02/07
GRANT DATE
2024/03/13
EXPIRATION DATE
2040/02/07
PATENT HOLDER
学校法人金沢工業大学
Examination History
2022年09月13日
出願審査請求書
2023年09月12日
拒絶理由通知書
2023年10月25日
手続補正書（自発・内容）
2023年10月25日
意見書
2023年12月26日
拒絶理由通知書
2024年01月22日
意見書
2024年01月22日
手続補正書（自発・内容）
2024年02月13日
特許査定