How to Use Patent Landscape Analysis to Identify New Patents As They Are Filed
Patent landscape analysis is a valuable tool for companies that need to quickly identify new patents. Patent landscapes allow companies to see areas of low patent density and identify potential cross-application opportunities. This tool also helps companies understand how their new ideas compare to existing patents. The patent landscape is also useful for identifying competitive activity. If your competitor has patented something similar to yours, you can use this information to learn about the new competitors.
Searching for patents
To start searching for new patents, it’s helpful to know what to look for. Patent applications are classified by the patent office into different classes and classifications. Each class describes a particular type of process or device. Each class is further subdivided into various subclasses. These classifications form a tree with branches representing different types of technology. Patent classifications help you to narrow down the search and find patents that pertain to your product or space.
The process of searching for patents can be a tedious process, but it can save you time and money. The first step is to research similar ideas. A thorough search will help you determine if your idea is patentable or not. If you do find an existing patent, it may not mean that you can’t protect yours. In fact, it might give you some insight into competing ideas that have similar features.
You can use a free online tool to search the CPC codes of new patents. If you don’t have access to patent documents, you can use the European Patent Office’s free online tool to search the classification hierarchy. You can also search for patent documents by keyword or specific subclass. There are hundreds of thousands of patent documents and thousands of keywords. If you’re looking for patents related to your space, you can use an online database that contains millions of patents.
Once you’ve done this, you can use the search to identify potential threats. You’ll have a better idea of where your competition is focused and how they’re approaching new markets. The patent landscape will also give you a better idea of where the competition is focused on the technology. By following the patent landscape, you can discover gaps you can exploit. These gaps are not just a source of threats, but also valuable opportunities for recruiting employees.
Creating 3D landscapes
Patent landscapes are a great way to evaluate the innovation activity of a company and benchmark your performance against the competition. They can also provide valuable insights into the market’s spending, as well as identify areas for licensing and investing. If you want to expand your business into new markets, patent landscapes can help you do so. The process can also be used to identify potential mergers or acquisitions.
Analyzing similarity between patents
The idea of contextual similarity is one that draws on the similarities among patents filed in your or adjacent spaces. Patent applications often share similar inventors, priority dates, and technical descriptions. By analyzing all patent applications filed in your or adjacent spaces, you can predict future radical innovations. The method is also useful for gauging the patenting abilities of countries. It can help you forecast the development of new technologies.
To analyze this trend, use the context similarity model. This method looks for patents that have a high degree of similarity to your product or service. If a patent in code A or B is similar to yours, it is likely to have the same potential innovation. Similarly, code C is similar to code A. If a country has several patents in code A and B, it is likely to have patenting capabilities for that product or service.
Using CPC codes
The first-listed CPC classification symbol of a patent family is the one that most accurately represents the invention as a whole. A later-published family member may use a different first-listed classification. If so, the later-published family member will override the first-listed classification. However, the first-listed classification will still be the inventive classification symbol for the new patent.
The Cooperative Patent Classification (CPC) is a bi-lateral classification system developed by the US Patent and Trademark Office and the European Patent Office. These offices manage CPC and provide it to the public for patent classification. This classification system groups subject matter into hierarchical arrays. The highest level is the Section, which is then broken down into Classes and Sub-Classes. Sub-classes are further subdivided into Groups, which are further divided into Main Groups and Subgroups.
When looking for a new patent, it is crucial to recognize those with a CPC code. This code will be unique to your space and will help you find the relevant patents. It will also help you identify overlapping patents, which will help you save time and money. However, this method is not foolproof. You should consult with your patent attorney if you have doubts about a new patent.
If you want to keep track of patents in your area, you can use the Espacenet website. It is a database of patent documents published by many patent offices in various countries. Using Espacenet to identify new patents is easy and free, and is updated daily. Espacenet contains data on 130 million patent documents from around the world. You can also use the Open Patent Services, which is designed for automated searches, but you should be aware that Espacenet does not support robots and will therefore deny access to these tools.
There are a number of tools and resources on Espacenet that can be very helpful. One of these is the classification search. It allows you to search for patent publications in a particular technical area. This search also helps you find appropriate classification symbols. Once you’ve found the right patents, you can conduct a search using Espacenet to find the most relevant ones.