Extensive ongoing research has led to an expansion of the Intellectual Capital associated with Autoinjectors at a CAGR of 12%
Key Inclusions (Excel Deliverable)
Sheet 1 features details regarding how the input data for this project was collated, including the search strings used to query a popular, public patent database (namely lens.org), and data segregation notes.
Sheet 2 is a summary MS Excel dashboard, offering a detailed, graphical perspective of the intellectual property landscape of autoinjectors. It includes pictorial representations of the [A] overall patent landscape, IP documents representing patent families that describe unique innovations related to autoinjectors, [C] trends related to patent applications (including insights on patentability and freedom to operate), [D] trends related to granted autoinjectors patents (including insights on patentability and freedom to operate), [E] key inferences from a proprietary claims analysis, [F] list of popular CPC symbols (featuring key pockets of innovation), [G] list of popular applicants (shortlisted based on number of published IP documents), [H] list of non-English patents (including IP documents with undecipherable language and script as downloaded from lens.org)
Sheet 3 is an elaborate tabular representation of the overall IP landscape, featuring information on the various types of IP documents, related to autoinjectors, which have been published since 1969.
Sheet 4 is an excerpt of the data presented in the previous sheet, featuring published IP documents, that represent unique patent families across various global jurisdictions. This dataset has been analyzed in detail, in the report.
Sheet 5 includes a tabular representation of the key words and phrases (prior art search expressions) that are used to describe autoinjectors and affiliated intellectual capital.
Sheet 6 is a subset of sheet 4, featuring all the patent applications, covering innovations related to autoinjectors and affiliated methods / products.
Sheet 7 is a subset of sheet 4, featuring all the granted patents, covering innovations related to autoinjectors and affiliated methods / products.
Sheet 8 is an insightful summary of key inferences from the independent claims of the granted, active patents in the dataset. It involves the use of a systematic segregation approach to analyze key trends associated with the preamble, type of patent (product patent or method patent), type of claim (open ended claim or closed ended claim) and key elements of a claim (individual aspects of an innovation that are covered in a singular claim).
Sheet 9 provides insights related to some of the key applicants that are active in this field of research, featuring company-specific details (such as year of establishment, and location of headquarters), and inputs on their respective IP publication trends.
Sheet 10 features an analysis of the most popular CPC symbols and CPC families (in terms of frequency of appearance in the dataset), related to autoinjectors that are either already available in the market, or under development.
Sheet 11 is a subset of Sheet 4 and features a list of IP documents with non-English patent literature, with the contents of the documents filed in the native language of the applicants’ country and have not been analyzed in the research report.
Sheet 12 is an appendix, which includes pivot tables that drive the charts and interactive elements for the complete IP landscape depicted in sheet 2 of the deliverable.
Sheet 13 is an appendix, featuring details related to the categorization done in the report, and important abbreviations used in reference to the data categories mentioned in the document.
The “Autoinjectors: IP Landscape” report features an extensive study of the key intellectual property (IP) documents (featuring granted patents, patent applications and other documents), describing the various types of autoinjectors and their components that offer safety features and patient compliance during self-administration of drugs. The insights generated in this report have been presented across two deliverables, a MS Excel workbook and a MS PowerPoint deck, summarizing the ongoing activity in this domain.
The research includes detailed profiles of 10+ key players (listed below); the profiles feature an overview of the developer, its financial information (if available), product portfolio (under development / marketed) recent developments and an informed future outlook.
Bristol Myers Squibb
Sanofi
Ypsomed
Novo Nordisk
Owen Mumford
Becton Dickinson
Janssen
SHL Group
Amgen
Aptar Pharma
UCB
Meridian Medical
Eli Lilly
PHC technologies
Ascendis Pharma
Key Questions Answered
To view more details on this report, click on the link
https://www.rootsanalysis.com/reports/autoinjectors-intellectual-property-landscape.html
You may also be interested in the following titles:
About Roots Analysis
Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights.
Contact:
Ben Johnson
+1 (415) 800 3415
[email protected]
Key Inclusions (Excel Deliverable)
Sheet 1 features details regarding how the input data for this project was collated, including the search strings used to query a popular, public patent database (namely lens.org), and data segregation notes.
Sheet 2 is a summary MS Excel dashboard, offering a detailed, graphical perspective of the intellectual property landscape of autoinjectors. It includes pictorial representations of the [A] overall patent landscape, IP documents representing patent families that describe unique innovations related to autoinjectors, [C] trends related to patent applications (including insights on patentability and freedom to operate), [D] trends related to granted autoinjectors patents (including insights on patentability and freedom to operate), [E] key inferences from a proprietary claims analysis, [F] list of popular CPC symbols (featuring key pockets of innovation), [G] list of popular applicants (shortlisted based on number of published IP documents), [H] list of non-English patents (including IP documents with undecipherable language and script as downloaded from lens.org)
Sheet 3 is an elaborate tabular representation of the overall IP landscape, featuring information on the various types of IP documents, related to autoinjectors, which have been published since 1969.
Sheet 4 is an excerpt of the data presented in the previous sheet, featuring published IP documents, that represent unique patent families across various global jurisdictions. This dataset has been analyzed in detail, in the report.
Sheet 5 includes a tabular representation of the key words and phrases (prior art search expressions) that are used to describe autoinjectors and affiliated intellectual capital.
Sheet 6 is a subset of sheet 4, featuring all the patent applications, covering innovations related to autoinjectors and affiliated methods / products.
Sheet 7 is a subset of sheet 4, featuring all the granted patents, covering innovations related to autoinjectors and affiliated methods / products.
Sheet 8 is an insightful summary of key inferences from the independent claims of the granted, active patents in the dataset. It involves the use of a systematic segregation approach to analyze key trends associated with the preamble, type of patent (product patent or method patent), type of claim (open ended claim or closed ended claim) and key elements of a claim (individual aspects of an innovation that are covered in a singular claim).
Sheet 9 provides insights related to some of the key applicants that are active in this field of research, featuring company-specific details (such as year of establishment, and location of headquarters), and inputs on their respective IP publication trends.
Sheet 10 features an analysis of the most popular CPC symbols and CPC families (in terms of frequency of appearance in the dataset), related to autoinjectors that are either already available in the market, or under development.
Sheet 11 is a subset of Sheet 4 and features a list of IP documents with non-English patent literature, with the contents of the documents filed in the native language of the applicants’ country and have not been analyzed in the research report.
Sheet 12 is an appendix, which includes pivot tables that drive the charts and interactive elements for the complete IP landscape depicted in sheet 2 of the deliverable.
Sheet 13 is an appendix, featuring details related to the categorization done in the report, and important abbreviations used in reference to the data categories mentioned in the document.
The “Autoinjectors: IP Landscape” report features an extensive study of the key intellectual property (IP) documents (featuring granted patents, patent applications and other documents), describing the various types of autoinjectors and their components that offer safety features and patient compliance during self-administration of drugs. The insights generated in this report have been presented across two deliverables, a MS Excel workbook and a MS PowerPoint deck, summarizing the ongoing activity in this domain.
The research includes detailed profiles of 10+ key players (listed below); the profiles feature an overview of the developer, its financial information (if available), product portfolio (under development / marketed) recent developments and an informed future outlook.
Bristol Myers Squibb
Sanofi
Ypsomed
Novo Nordisk
Owen Mumford
Becton Dickinson
Janssen
SHL Group
Amgen
Aptar Pharma
UCB
Meridian Medical
Eli Lilly
PHC technologies
Ascendis Pharma
Key Questions Answered
- Who are the leading industry players engaged in the development of novel self-administration devices?
- What are the areas of white spaces in this domain?
- What is the relative value of intellectual property documents related to autoinjectors?
- How many patents are close to expiration?
- What are the various pockets of innovation in autoinjectors domain?
- Which are the key elements that claims analysis for granted patents highlight?
- Which innovation areas have high freedom to operate?
To view more details on this report, click on the link
https://www.rootsanalysis.com/reports/autoinjectors-intellectual-property-landscape.html
You may also be interested in the following titles:
About Roots Analysis
Roots Analysis is a global leader in the pharma / biotech market research. Having worked with over 750 clients worldwide, including Fortune 500 companies, start-ups, academia, venture capitalists and strategic investors for more than a decade, we offer a highly analytical / data-driven perspective to a network of over 450,000 senior industry stakeholders looking for credible market insights.
Contact:
Ben Johnson
+1 (415) 800 3415
[email protected]
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