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Patent Technology Landscapes

Wednesday, July 2nd, 2008

Patent Technology Landscapes are the high-level visualization of enormous set of patent dataset individual to a precise technology. It supplies for the duration of view of the most technological segments through the dataset and is remarkably useful for the decision makers. These map additionally breaks to !no! individual detailed technological segments to visualize the technology co-relation, technology diversification and a good number of technology trends. Mining of the gargantuan dataset for precise technological detail is a laborious process. Presently many vendors these types of as Aureka out of MicroPat supplies automated creation of patent landscape maps for significant datasets. The reason for the creation of these kinds of maps is the keyword frequency. Thus such maps make human cleverness to a larger number of refine it.
A patent landscape contains different opposite 2-D and 3-D technology graph to serve the the majority of emerging, high-growth, mid-growth and low-growth cities in a individual technology, or all over technology. It is helpful in extrapolating the concentration and tendencies of invention among enormous technology segments. Further, it as well includes graphical representation of the Patent technology S-curve to provide evidence the rate of invention and patenting activity, in several technology segments.

A patent landscape supports in:
 Categorization of larger dataset to a multitude of technological segments.
 Categorization company’s sizeable patent portfolio
 Identification of the accomplishable competitors for the duration of a technology domain
 Visualizing patterns in a technology landscape for the duration of time
 Comparing the portfolios of competitors corporations
 Identification of more than likely collaboration and acquisition and merger opportunities
 Identification of achievable researching opportunities

In finish a patent technology landscape is a kind of Technology Competitive Intelligence (TCI) report, that consists of ass representation of the analytic analysis of larger patent dataset hints in a certain technology domain. These suggests by and large organize and highlight patent filings trends, patent count by country, top patenting association and a larger amount of details. These surveys assistance in identification of technology gaps and grey spaces.