Tracking patents - important but challenging
Keeping track of patents is a vital task for any company that is interested in developing, commercialising or licensing organic semiconductor technologies. Tracking patent filings allows a company to understanding its competitors, industry trends and prior-art.
In 2005 nearly 6,000 patents were published in the field of organic semiconductor and organic electronics, by 2006 this had risen to over 7,200, and by 2007 it had grown to more than 8,500 patents.

Organic semiconductor patents published or granted
per quarter, 2004-2007
Each quarter around 1,900 application and granted patents are published, covering:
OLEDs photovoltaics transistors memory cells lasers sensors |
substrates encapsulation materials patterning deposition device structure fabrication |
Capturing such patent data on a regular basis and compiling it into a convenient format is both resource intensive and time consuming.
Many organisations do not have the necessary resources to dedicate to this task.
The consequence is that detailed and accessible patent information is not readily available within the organisation. This places the burden of collecting, storing and analysing patent data on individual researchers - a task few researchers are willing undertake.
Without access to comprehensive patent data organisations are unable to effectively track and monitor competitors' patenting activities, follow industry trends or discover prior-art.
Since 2004 cintelliq has used its industry and technical expertise to solve this problem by searching, cleaning, classifying and analysing patents relating to organic semiconductor technologies. The result of this effort is the Organic Semiconductor Patent Analyst (OSPA) package from cintelliq.
Quarterly patent data and analysis
OSPA is a set of comprehensive EP, US, JP and WO patent data (up to 1,500 patents) plus a 100+ page analysis report, published quarterly.
Choice of two datasets
Recognising that our subscribers may prefer more specific analysis, OSPA now offers the choice of two datasets:
- the OLEDs dataset, which covers only patents related to OLEDs
- the Organic Electronics dataset, which covers all non-OLED patents (photovoltaics, transistors, memory, sensors, lasers etc)
Patent data analysis
The OSPA report contains analysis of patents filed over the past 15 months, by assignee, by academics, by device, by IP area, by priority country, by priority year, and by OLED licensees, plus quarterly analysis of granted EP and US patents, and of published EP, JP, US and WO patents.
Patent data supplied in spreadsheet format
The comprehensive set of OSPA patent data is supplied in spreadsheet format (Excel). Each patent record contains 28 data fields.
Download sample > (353K)
Pivot tables for easy analysis
The OSPA patent data is also configured in pivot tables for subscribers to customise for their own analysis.
One-click links to online patent documents
Each patent record features a one-click link to the full patent document on the espacenet or Google Patents web sites.
View demo (303K)
Patent data cleaned and classified
All patent data fields have been cleaned and normalised to enable easy analysis. All patents have been classified to reflect the specific device they cover (OLED, PV, transistors, sensors, memory, and lasers) and the technical area in which they are seeking to gain IP (materials, deposition, patterning, encapsulation, substrates, device structure and fabrication).
For more details about the analysis within the report, see the OSPA Contents page.
New easy-to-use format
The new version (Version 3) of the OSPA package is now easier to use. As well as the many improvements to the OSPA patent data outlined above, the OSPA report is now presented in landscape format with an improved layout to help you locate the data you need quickly.
View sample
Try before you buy
If you are uncertain about how much benefit the Organic Semiconductor Patent Analyst can bring to your organisation, we will send you a FREE extract from a recent issue so that you can see for yourself the level of detail and quality of data that this quarterly publication provides.
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