Patent Technology Landscapes are the high-level visualization of
large set of patent dataset specific to a particular technology. It
provides over view of the various technological segments within the
dataset and is very useful for the decision makers. These map further
breaks into more specific detailed technological segments to visualize
the technology co-relation, technology diversification and various
technology trends. Mining of the huge dataset for specific technological
detail is a laborious process. Presently various vendors such as Aureka
from MicroPat provides automated generation of patent landscape maps
for large datasets. The basis for the generation of these maps is the
keyword frequency. Thus these maps require human intelligence to further
refine it.
A
patent landscape contains various other 2-D and 3-D technology graph to
represent the various emerging, high-growth, mid-growth and low-growth
areas in a particular technology, or across technology. It is helpful in
extrapolating the concentration and trends of invention with large
technology segments. Further, it also includes graphical representation
of the Patent technology S-curve to show the pace of invention and
patenting activity, in various technology segments.
A patent landscape helps in:
In
conclusion a patent technology landscape is a type of Technology
Competitive Intelligence (TCI) report, which consists of visual
representation of the analytic analysis of large patent dataset
information in a particular technology domain. These reports typically
organize and highlight patent filings trends, patent count by country,
top patenting organization and other details. These reports help in
identification of technology gaps and white spaces.
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