Welcome!

News Feed Item

Licensing Terms and Agreements in Pharma, Biotech and Diagnostics

LONDON, Aug. 27, 2014 /PRNewswire/ -- Reportbuyer.com has added a new market research report:

Licensing Terms and Agreements in Pharma, Biotech and Diagnostics

https://www.reportbuyer.com/product/2225949/Licensing-Terms-and-Agreements-in-Pharma-Biotech-and-Diagnostics.html

The Licensing Terms and Agreements in Pharma, Biotech and Diagnostics report provides comprehensive understanding and unprecedented access to the licensing deals and agreements entered into by the worlds leading life science companies.

The report provides a detailed understand and analysis of how and why companies enter licensing deals.

Understanding the flexibility of a prospective partner's negotiated deals terms provides critical insight into the negotiation process in terms of what you can expect to achieve during the negotiation of terms. Whilst many smaller companies will be seeking details of the payments clauses, the devil is in the detail in terms of how payments are triggered and rights transferred – contract documents provide this insight where press releases and databases do not.

This report contains links to online copies of actual licensing contract documents as submitted to the Securities Exchange Commission by biopharma companies and their partners.

Contract documents provide the answers to numerous questions about a prospective partner's flexibility on a wide range of important issues, many of which will have a significant impact on each party's ability to derive value from the deal.

The initial chapters of this report provide an orientation of licensing dealmaking and business activities.

Chapter 1 provides an introduction to the report, whilst chapter 2 provides an analysis of the trends in licensing as well as a discussion on the merits of the type of deal.

Chapter 3 provides an overview of the structure of licensing deals. The chapter includes numerous case studies to enable understanding of both pure licensing deals and multicomponent deals where licensing forms a part.

Chapter 4 provides a review of the leading licensing deals since 2009. Deals are listed by headline value, signed by bigpharma, most active bigpharma, signed by bigbiotech, most active bigbiotech, and most active of all biopharma companies. Where the deal has an agreement contract published at the SEC a link provides online access to the contract via the Current Agreements deals and alliances database.

Chapter 5 provides a comprehensive review of licensing financials for deals announced since 2009, including headline value, upfront, milestone payments and royalty rates by stage of development, providing both benchmark data and access to individual deal financials.

Chapters 6 and 7 provide a comprehensive listing of the top 50 bigpharma and bigbiotech companies with a brief summary followed by a comprehensive listing of licensing deals available in the public domain. Where available, each deal title links via Current Agreements deals and alliances database to an online version of the actual contract document, providing easy access to each contract document on demand.

Chapter 8 provides a comprehensive and detailed review of licensing deals signed and announced since 2009 where a contract document is available. The chapter is organized by company A-Z, stage of development at signing, technologyand therapeutic area. Each deal title links via Weblink to an online version of the actual contract document, providing easy access to each contract document on demand.

The report also includes numerous table and figures that illustrate the trends and activities in licensing dealmaking since 2009.

In conclusion, this report provides everything a prospective dealmaker needs to know about licensing dealmaking, enabling thorough learning, education and due diligence prior and during the licensing dealmaking process.

Executive Summary

Chapter 1 – Introduction

Chapter 2 – Trends in licensing dealmaking

2.1. Introduction
2.2. Definition of licensing deals
2.3. Success factors for licensing deals
2.4. When licensing can be useful
2.5. Attributes of licensing deals
2.6. Trends in licensing deals since 2009
2.7. Option to license
2.8. Adding co-promotion to the mix
2.9. The future of licensing deals

Chapter 3 – Overview of licensing deal structure

3.1. Introduction
3.2. Pure versus multi-component licensing deals
3.3. Pure licensing agreement structure
3.3.1. Example licensing agreements
3.3.1.a. Case study 1: Ignyta – Nerviano Medical Sciences – November 2013
3.3.1.b. Case study 2: Sanofi - Pozen – September 2013
3.4. Licensing rights as part of a wider alliance agreement
3.4.1. Example licensing clauses
3.4.1.a. Case study 3: 4D Molecular Therapeutics – UniQure – January 2014
3.4.1.b. Case study 4: Kyowa Hakko Kirin – Ultragenyx Pharmaceuticals – September 2013
3.4.2. Example licensing option right clauses
3.4.2.a. Case study 5: Forest Laboratories - Trevena – May 2013
3.4.2.b. Case study 6: Abbvie – Receptos – March 2013

Chapter 4 – Leading licensing deals

4.1. Introduction
4.2. Top licensing deals by value
4.3. Most active licensing dealmakers
4.3.1 Most active licensing dealmakers by therapy
4.3.2. Most active licensing dealmaker by stage of development
4.4. Bigpharma licensing deal activity
4.4. Bigbiotech licensing deal activity

Chapter 5 – Licensing deal term benchmarks

5.1. Introduction
5.2.1. Licensing headline values
5.2.2. Licensing upfront payments
5.2.3. Licensing milestone payments
5.2.4. Licensing royalty rates

Chapter 6 – Bigpharma licensing deals

6.1. Introduction
6.2. How to use licensing deals
6.3. Company licensing agreement listings

Chapter 7 – Bigbiotech licensing deals

7.1. Introduction
7.2. How to use licensing deals
7.3. Company licensing agreement listings

Chapter 8 – Licensing contract directory 2009-2014

8.1. Introduction
8.2. Company A-Z

Appendices

Appendix 1 – Licensing dealmaking - by financial disclosure
Appendix 2 – Licensing dealmaking - by companies A-Z
Appendix 3 – Licensing dealmaking - by stage of development
Appendix 4 – Licensing dealmaking - by therapeutic target
Appendix 5 – Licensing dealmaking - by technology type

Table of figures

Figure 1: Definition of licensing
Figure 2: Situations where licensing can prove useful
Figure 3: Key attributes of a licensing deal
Figure 4: Trends in licensing deal announcements, 2009-2014
Figure 5: Licensing deals signed at each phase of development, 2009-2014
Figure 6: Licensing deals by therapy area, 2009-2014
Figure 7: Licensing agreements – what should a contract include?
Figure 8: Components of the licensing deal structure
Figure 9: Top licensing deals by value since 2009 exceeding $1bn
Figure 10: Most active licensing dealmakers 2009-2014
Figure 11: Most active licensing dealmakers 2009-2014 by therapy area
Figure 12: Most active licensing dealmakers 2009-2014 – by stage of development
Figure 13: Bigpharma – top 50 – licensing deals 2009 to 2014
Figure 14: Bigpharma licensing deal frequency - 2009 to 2014
Figure 15: Bigbiotech – top 50 – licensing deals 2009 to 2014
Figure 16: Bigbiotech licensing deal frequency - 2009 to 2014
Figure 17: Licensing deal headline value distribution, US$million – discovery stage
Figure 18: Licensing deal headline value distribution, US$million – preclinical stage
Figure 19: Licensing deal headline value distribution, US$million – phase I stage
Figure 20: Licensing deal headline value distribution, US$million – phase II stage
Figure 21: Licensing deal headline value distribution, US$million – phase III stage
Figure 22: Licensing deal headline value distribution, US$million – regulatory stage
Figure 23: Licensing deal headline value distribution, US$million – marketed stage
Figure 24: Summary median licensing headline value by stage of development, 2009-2014
Figure 25: Licensing deal upfront payment distribution, US$million – discovery stage
Figure 26: Licensing deal upfront payment distribution, US$million – preclinical stage
Figure 27: Licensing deal upfront payment distribution, US$million – phase I stage
Figure 28: Licensing deal upfront payment distribution, US$million – phase II stage
Figure 29: Licensing deal upfront payment distribution, US$million – phase III stage
Figure 30: Licensing deal upfront payment distribution, US$million – regulatory stage
Figure 31: Licensing deal upfront payment distribution, US$million – marketed stage
Figure 32: Summary median licensing upfront payments by stage of development, 2009-2014
Figure 33: Licensing deal milestone distribution, US$million – discovery stage
Figure 34: Licensing deal milestone distribution, US$million – preclinical stage
Figure 35: Licensing deal milestone distribution, US$million – phase I stage
Figure 36: Licensing deal milestone distribution, US$million – phase II stage
Figure 37: Licensing deal milestone distribution, US$million – phase III stage
Figure 38: Licensing deal milestone distribution, US$million – regulatory stage
Figure 39: Licensing deal milestone distribution, US$million – marketed stage
Figure 40: Licensing deals with royalty rates, %
Figure 41: Licensing deal royalty rate distribution, US$million – discovery stage
Figure 42: Licensing deal royalty rate distribution, US$million – preclinical stage
Figure 43: Licensing deal royalty rate distribution, US$million – phase I stage
Figure 44: Licensing deal royalty rate distribution, US$million – phase II stage
Figure 45: Licensing deal royalty rate distribution, US$million – phase III stage
Figure 46: Licensing deal royalty rate distribution, US$million – regulatory stage
Figure 47: Licensing deal royalty rate distribution, US$million – marketed stage
Figure 48: Summary median licensing royalty rate by stage of development, 2009-2014
Figure 49: Online partnering resources
Figure 50: Deal type definitions

Read the full report:
Licensing Terms and Agreements in Pharma, Biotech and Diagnostics

https://www.reportbuyer.com/product/2225949/Licensing-Terms-and-Agreements-in-Pharma-Biotech-and-Diagnostics.html

For more information:
Sarah Smith
Research Advisor at Reportbuyer.com
Email: [email protected]
Tel: +44 208 816 85 48
Website: www.reportbuyer.com

SOURCE ReportBuyer

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm.
What sort of WebRTC based applications can we expect to see over the next year and beyond? One way to predict development trends is to see what sorts of applications startups are building. In his session at @ThingsExpo, Arin Sime, founder of WebRTC.ventures, will discuss the current and likely future trends in WebRTC application development based on real requests for custom applications from real customers, as well as other public sources of information,
China Unicom exhibit at the 19th International Cloud Expo, which took place at the Santa Clara Convention Center in Santa Clara, CA, in November 2016. China United Network Communications Group Co. Ltd ("China Unicom") was officially established in 2009 on the basis of the merger of former China Netcom and former China Unicom. China Unicom mainly operates a full range of telecommunications services including mobile broadband (GSM, WCDMA, LTE FDD, TD-LTE), fixed-line broadband, ICT, data communica...
My team embarked on building a data lake for our sales and marketing data to better understand customer journeys. This required building a hybrid data pipeline to connect our cloud CRM with the new Hadoop Data Lake. One challenge is that IT was not in a position to provide support until we proved value and marketing did not have the experience, so we embarked on the journey ourselves within the product marketing team for our line of business within Progress. In his session at @BigDataExpo, Sum...
As software becomes more and more complex, we, as software developers, have been splitting up our code into smaller and smaller components. This is also true for the environment in which we run our code: going from bare metal, to VMs to the modern-day Cloud Native world of containers, schedulers and micro services. While we have figured out how to run containerized applications in the cloud using schedulers, we've yet to come up with a good solution to bridge the gap between getting your contain...
With the introduction of IoT and Smart Living in every aspect of our lives, one question has become relevant: What are the security implications? To answer this, first we have to look and explore the security models of the technologies that IoT is founded upon. In his session at @ThingsExpo, Nevi Kaja, a Research Engineer at Ford Motor Company, will discuss some of the security challenges of the IoT infrastructure and relate how these aspects impact Smart Living. The material will be delivered i...
Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, represent...
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningf...
Your homes and cars can be automated and self-serviced. Why can't your storage? From simply asking questions to analyze and troubleshoot your infrastructure, to provisioning storage with snapshots, recovery and replication, your wildest sci-fi dream has come true. In his session at @DevOpsSummit at 20th Cloud Expo, Dan Florea, Director of Product Management at Tintri, will provide a ChatOps demo where you can talk to your storage and manage it from anywhere, through Slack and similar services ...
SYS-CON Events announced today that Ocean9will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Ocean9 provides cloud services for Backup, Disaster Recovery (DRaaS) and instant Innovation, and redefines enterprise infrastructure with its cloud native subscription offerings for mission critical SAP workloads.
The taxi industry never saw Uber coming. Startups are a threat to incumbents like never before, and a major enabler for startups is that they are instantly “cloud ready.” If innovation moves at the pace of IT, then your company is in trouble. Why? Because your data center will not keep up with frenetic pace AWS, Microsoft and Google are rolling out new capabilities In his session at 20th Cloud Expo, Don Browning, VP of Cloud Architecture at Turner, will posit that disruption is inevitable for c...
Building a cross-cloud operational model can be a daunting task. Per-cloud silos are not the answer, but neither is a fully generic abstraction plane that strips out capabilities unique to a particular provider. In his session at 20th Cloud Expo, Chris Wolf, VP & Chief Technology Officer, Global Field & Industry at VMware, will discuss how successful organizations approach cloud operations and management, with insights into where operations should be centralized and when it’s best to decentraliz...
Providing the needed data for application development and testing is a huge headache for most organizations. The problems are often the same across companies - speed, quality, cost, and control. Provisioning data can take days or weeks, every time a refresh is required. Using dummy data leads to quality problems. Creating physical copies of large data sets and sending them to distributed teams of developers eats up expensive storage and bandwidth resources. And, all of these copies proliferating...
DevOps is often described as a combination of technology and culture. Without both, DevOps isn't complete. However, applying the culture to outdated technology is a recipe for disaster; as response times grow and connections between teams are delayed by technology, the culture will die. A Nutanix Enterprise Cloud has many benefits that provide the needed base for a true DevOps paradigm. In his Day 3 Keynote at 20th Cloud Expo, Chris Brown, a Solutions Marketing Manager at Nutanix, will explore t...
DevOps has often been described in terms of CAMS: Culture, Automation, Measuring, Sharing. While we’ve seen a lot of focus on the “A” and even on the “M”, there are very few examples of why the “C" is equally important in the DevOps equation. In her session at @DevOps Summit, Lori MacVittie, of F5 Networks, explored HTTP/1 and HTTP/2 along with Microservices to illustrate why a collaborative culture between Dev, Ops, and the Network is critical to ensuring success.