Use Cases of Patent Data Analysis
Technology Landscaping
Patent data analytics can help companies and researchers gain a comprehensive
understanding of the technological landscape in a particular field. By analyzing patent data, they can identify key players, emerging trends, and potential gaps in the market.
All this information will be majorly focused on the bibliographical API layer that we discussed in Chapter 6.
Competitor Analysis
Businesses can use patent data analytics to track their competitors’ patent activities. This analysis can provide insights into the R&D strategies of competitors, their focus areas, and potential areas of collaboration or infringement risks.
Innovation Tracking
Companies can monitor the innovation efforts of various industries or specific organizations through patent data analytics. This can help in identifying technological advancements and predicting potential emerging technologies and problems being in- focus of companies.
Prior Art Search
Patent data analytics can assist patent examiners, inventors, and attorneys in conducting prior art searches. By identifying existing patents or technical literature, they can determine the novelty and inventiveness of a new invention. PQAI is trying to solve problems under this category.
Patent Valuation
Patent data analytics can be used to assess the value of a patent portfolio. It involves analyzing factors such as the number of citations, the scope of claims, and the commercial potential of the patented technology discussed in the metadata section of this chapter.
Technology Collaboration and Licensing Opportunities
Patent data analytics can reveal potential licensing opportunities or areas for collaboration with other companies. Organizations can identify complementary technologies or patents to enhance their own products or services.
Patent Portfolio Management
Companies with large patent portfolios can use analytics to prioritize patents for renewal or abandonment based on their commercial significance and overall impact on the business.
Geographical Trends
Patent data analytics can provide insights into patent filing trends across different
countries and regions, allowing companies to tailor their IP strategies to specific markets. This will use family member property heavily.
Technology Forecasting
By analyzing patent data and trends, organizations can forecast future developments in specific industries or technologies, aiding in long-term strategic planning.
Data preparation
Every patent analytics process will involve following two stages performed repeatedly in a feedback loop
- Isolating the analysis surface
- Reducing the noise
Isolating the analysis surface
In this step the major focus is to reduce the set of patents that require analysis. There are 140 million+ patents at the time of this writing, but the business problems that will require analysis won’t be focused on all these 140 million patents. We will remove most of the patents and it depends on the type of analysis. For instance, consider we want to do portfolio analysis of Apple, in this case we will shortlist all the patents where Apple is the current assignee (note – if we just pick original assignee as Apple, then we won’t be able to capture patents that were sold or acquired by Apple).
Contd….
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