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Trademark renewal process, grey pattern

Technology Landscape Metrics

Patent Activity
Patent Investment Dynamic

The graph shows the variation in percentage of the number of first patent filings related to the topic on a defined interval of years, by default on the 3 last years.

A new invention represents the first-filing of a technology and is based on the first application date of the family.

The technology growth trend assessment is based on the following values:

Variation in %Growth Trend
>50%Booming
Between 20 and 50%Trending
Between 10 and 20%Quite trending
Between 0 and 10%Steady
< 0%Decline

 

Geographic protection

The Protected patent graph shows the volumes of protected patents by country over the last 10 years: it is based on the number of patent families on the topic by country (top 10) over the last 10 years

The First fillings graph shows the volumes of first filings related to the topic by country over the last 10 years:  it is based on the number of first patent filings on the topic by country (top 10).

The Best Accelerations graph shows the countries with the strongest acceleration in terms of volume of protected patents over the last year in the top 30 countries. The acceleration is calculated between the last 2 complete years.

Innovation Strategy

The method of calculation is based on the originality index, measuring the dispersion of citing patents over technology classes. The Originality index is defined as the average of the originality index calculated for each patent family (value between 0 and 1). The greater the dispersion of IPC / CPC subclasses of the cited patents, the higher the index. Complete definition by Hall Jaffe and Trajtenberg (2001)

The Patent filing strategy qualification is defined as following :

  • < 0.80 Incremental
  • >= 0.80 Disruptive

Incremental innovation is a series of small improvements to an existing product or product line that usually helps maintain or  improve its competitive position over time. Incremental innovation is regularly used within the high technology business by companies that need to continue to improve their products to include new features increasingly desired by consumers.

According to Clayton Christensen in “The Innovator’s Dilemma,” (1997), disruptive innovation is is an innovation that creates a new market and value network and eventually disrupts an existing market and value network, displacing established market-leading firms, products, and alliances.

 

Innovation Cycle

The Innovation Cycle qualification is based on the following values:

Percentage of patent families on the topic held by the top 10 actorsInnovation Cycle is considered as :
>50%Ending
from 30 to 50%Slowing
from 20 to 30%Ongoing
from 10 to 20%Beginning
from 1 to 10%Emerging

 

The graph shows the top 5 of actors ordered by patents number on the topic and the percentage of the cumulated number of the top 5 players compared to the top 100.

Key Players
IP Players

The graph shows the top 5 of actors ordered by patents number on the topic and the percentage of the cumulated number of the top 5 players compared to the top 100.

Start-ups

The list of starts up includes starts ups and SMEs that have published scientific document(s) or filed patent(s) or participated to project(s) or clinical trial(s) or communicated on topics related to your search.

 Start-ups are defined by the number of employees below 250.

 Starts ups are ordered by default by relevance. The relevancy of a start up is mainly based on the following indicators:

  • Number of published documents (all types of documents)
  • Sum of the scores of its documents (all types)
  • Centrality in the query network : the centrality is an indicator based on the number and distance of connections of a node in a network.
  • Diversity of scientific works (number of different types)
  • Sum of the scores of the start up web pages
Key Opinion Leaders

The graph shows the Top 3 of the most relevant experts on the topic.

The relevancy of an expert is mainly based on the following indicators :

  • Number of published documents (all types of documents)
  • Sum of the scores of his documents (all types)
  • Centrality in the query network : the centrality is an indicator based on the number and distance of connections of a node in a network.
  • Diversity of scientific works (number of different types)

The relevancy of a document is mainly based on the following indicators :

  • Number of occurrences of the searched concept
  • Position of the concept within the document (Title, Abstract, Keywords)
  • Publication date of the document : most recent documents are privileged
  • Type of document (A scientific poster will have less weight than a a peer reviewed article)
Academics

The graph shows Top 3 of the most relevants academics on the topic.

The relevancy of an academic is mainly based on the following indicators :

  • Number of published documents (all types of documents)
  • Sum of the scores of its documents (all types)
  • Centrality in the query network : the centrality is an indicator based on the number and distance of connections of a node in a network.
  • Diversity of scientific works (number of different types)
  • Sum of the scores of the academic web pages

The relevancy of a document is mainly based on the following indicators :

  • Number of occurrences of the searched concept
  • Position of the concept within the document (Title, Abstract, Keywords)
  • Publication date of the document : most recent documents are privileged
  • Type of document (A scientific poster will have less weight than a a peer reviewed article)
Networks
Collaborative Network

The qualification of the collaborative network on a topic is based on the following values:

Collaboration Type on the topicCollaboration network is
If industrial collaboration is >=65%mainly industrial
If academic collaboration is >=65%mainly academic
For all others distributionsboth industrial & academic

 

Collaboration level on the topicCollaboration level is
>65%High
<65%Moderate
<15%Low

 

Collaboration Scope on the topicCollaboration network is
>50% international collaborationsMainly worlwide
Business
IP Investments

The IP investment (sum of the costs of patents families on the topic) is calculated by an algorithm. This algorithm estimates the cost of each procedure on 2018, 2019 and 2020 according to the patents still alive in each family (taxes, cabinet cost, number of actions…).

The IP Market size is based on the following values :

IP Market sizeSum of the costs of patents families on the topic
Small< 10 M$
MediumBetween 10 et 100 M$
Big>100 M$

The graph shows the percentage variance in relation with the following known markets :

IP Market sizeKnown Markets
SmallArtificial Intelligence in BlockChain
SmallGraphene Battery
MediumCrispr
MediumDriverless
BigArtificial Intelligence
BigOncology
BigCellular network
Institutional Investments

The graph shows the trend of institutional investments on the topic : each column indicates the sum of the institutional funds of the European and US financed projects (FP5, FP6, FP7, H2020, SBIR, STTR) related to the topic per year.

The funding qualification is based on the following values:

FundingFunding is considered
0Not funded right now
<1M$Lowly funded
<50M$Moderatly funded
>50M$Highly funded
Clinical Investments

The graph shows the trend of clinical investments on the topic by years.

Investments are calculating aggregating clinical trials costs and using estimated costs by phase  as follow :

PhasesEstimated costs
Phase 14 M$
Phase 213 M$
Phase 320 M$
FDA NDA / BLA2 M$
Phase 420 M$

More info : https://aspe.hhs.gov/report/examination-clinical-trial-costs-and-barriers-drug-development

The funding qualification is based on the following values:

FundingFunding is considered
0Not funded right now
<1M$Lowly funded
<50M$Moderatly funded
>50M$Highly funded
Market Strategy

The Market Strategy Index of each patent family corresponds to the size of the market in the countries (using the corresponding GDP) covered by the family.

To calculate this metric, several factors are considered: 

  • alive patent applications + any granted patent (either dead or alive)
  • A 40% reduction is applied to pending countries.
  • WO/pending EPs market size is calculated based on the statistical chance of patents to be finally designated in the different authorities.

Data is normalized in order to give a score of 1 to an invention which only cover US with a granted patent.

The qualification of the Market Strategy is based on the following values :

Market Strategy IndexStrategy
<0,6Local
>0,6 and <0,9Main Markets
>0,9Global
Application
Technical Concepts

The graph shows the most common concepts found in the full text of the patents and allows to identify the most mainstream technologies.

Main Applications

The graph in the form of a pie chart shows the Top 3 Technology domains (TECT fields) for the analyzed topic.

 

Scientific Activity

The graph shows the most common concepts found in the NPL meta-data and allows to identify the most mainstream scientific researches.

Scientific Domains

The graph in the form of a pie chart shows the Top 3 scientific domains for the analyzed topic andr extract from NPL.

 

Full list of scientific domains available here.