Patent landscape search provides a snap-shot of the patent state of affairs in a specific technology, a given country, region, or globally. Usually, a patent landscape search begins with a prior-art search. And, it is basically one very comprehensive form of the same involving a deeper analysis of patent. It, sometimes, also involves non-patent references after completion of the state-of-the-art search.
The landscape search often results in the categorization of patents. It is divided into fundamental discoveries, patenting activities over time, the history of a technology’s development and even analyses of inventors or companies’ collaborations.
Often, such search involves screening, filtering, bucketing and analysis of the search results. This is to answer specific questions about, for example, patterns of patenting activity or of innovation.
The search may further identify key innovative groups over defined periods of time. The results are presented visually to assist understanding and recommendations based on the empirical evidence provided.
The patent landscape search may be helpful in cases, such as, for an organization to determine whether to enter a specific technology or research area.
A patent landscape search may improve ability to make business decisions by providing an overview of patent activity in specific technology areas. In addition, it can also help you to better evaluate the economic value of a patent portfolio.
Benefits of Patent Landscape Search
The patent landscape study helps to identify the following, among many:
- Study markets of interest;
- Identify gaps in your research and development program;
- Technology leaders and their IP strategies;
- Strengths and weaknesses of patent portfolios;
- Current and possible future competitors.
The landscape search may also have more advanced use cases, such as in
- Custom Integration of IP/Product portfolio.
- Financial Integration of companies, such as in case of mergers and acquisitions.
We will continue to study more about patent landscape search in the next few articles, including what type of data is needed for such searches, the strategies involved in such searches, the pitfalls, etc.
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