This is a patent use analysis worksheet for determining the overall likelihood of a royalty owing on a patent.
This is a patent use analysis worksheet for determining the overall likelihood of a royalty owing on a patent.
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Patent analytics is a process to carry out a planned and insightful analysis. It includes several activities such as novelty search, patentability search, prior art search, state of the art search, invalidity search, validity search, FTO search, Patent/Technology Landscape, etc.
Patent analysis is the process of analyzing patent documents and other information from the patent lifecycle. Patent analysis is used to obtain deeper insights into different technologies and innovation. Other terms are sometimes used as synonyms for patent analytics: patent landscaping, patent mapping, or cartography.
How does one perform a patent landscape analysis? Step 1: Research the technical aspects of your topic. Step 2: Understand the need of the client. Step 3: Define the scope of the landscape search. Step 5: Categorize the collections into a variety of facets. Step 6: Create a report with statistical figures.
For strategic & competitive intelligence: Analyzing the patent owner's details (assignee name) can help you to anticipate new competitors or their potential collaborations. You can look at a competitor's patent filing country, as it is an early indicator of their geographic expansion plans.
Visualise the results of your statistical analysis by creating your patent map. There are many different kinds of patent maps for various purposes and users. You can use various graphs to show the results of your statistical analysis, for example simple bar or line charts, area graphs or bubble charts.
Patent analytics provides data-driven, evidence-based information that allows organizations make better strategic decisions in areas of research and development, innovation policies, IP commercialization and licensing, research collaboration, and many others.
Patent landscape analysis, often referred to as ?patent mapping? is a proven multistep process, employing computer software and human intelligence, to parse through, organize and extract value from this vast amount of information.