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clarivate.com/cortellis
© 2019 Clarivate Analytics. All rights reserved. Republication or redistribution of Clarivate Analytics content,
including by framing or similar means, is prohibited without the prior written consent of Clarivate Analytics.
Sources: *
BenchSci – Pharma companies using artificial intelligence in drug discovery. Unless otherwise specified, all data in the above analysis was derived from Cortellis.
Are you using data-driven decisions to generate
maximum ROI?
Cortellis can helpyoufind and evaluate opportunities, monitorpotential
partners, and negotiatethe best deals possible.
To learn more or schedule a demo, visit
clarivate.com/cortellis-deals-intelligence
Historically, manufacturing took
a back seat to science. Now deals
are built, at least in part, around
this capability. Competition with
biosimilar developers for capacity
brings challenges to ramping up
production once targets are approved.
Understanding how a potential partner
or target can meet demand enables
a more strategic approach.
59
46
Record-breaking FDA NME
approval numbers
in 2017
in 2018
Consider manufacturing capabilities
50% 115%
3X
China experienced significant growth
in 2018:
Licensing Private investment
Competition is more intense than
ever – dealmakers can’t afford to
overlook opportunities. There’s huge
growth in China and other markets,
demonstrating how essential it is to
incorporate every opportunity into
analytic models. Strategies must
consider an array of factors, including
local regulatory constraints and the
regional variations of the competitive
and patent landscape.
Cast a wide net
*
Use of AI in drug discovery is growing:
more deals
completed by small
vs. large biopharmas
in 2018: 246 vs.95
Has the deal been uniquely or
originally structured? Are there
multiple ways it could play out across
indications and rights? Creativity
could mean bringing artificial
intelligence (AI), biomarkers or drug
combinations into the discussion, or
invoking a greater effort to involve
patients in research.
125+
18
of the top 20
pharmas
pharma
start-ups
Get creative
Deals get noticed when partners take
on an intractable disease or make
a bold stroke. The willingness – or
urgency – to take an educated risk
often delivers a compelling deal.
Being bold may involve going after a
big indication like Alzheimer’s or one
addressed by microbiome research
or immunotherapies.
9% 50%
Drug failures and lack of approvals
didn’t cool neuroscience deals
in 2018:
Licensing
of 2018’s top oncology
licensing deals were in
immuno-oncology
M&A
Be bold
Dealmakers are increasingly seeking
out discovery phase assets:
The lure of big money always grabs
attention, but how can partners
ensure a genuine win-win in the fast-
paced and competitive biopharma
deals space? Start planning early –
and revise often – through careful
assessment of timelines, risk-sharing
and assessment of early phase assets.
13
⅔
of the top 20
2018 licensing deals
of all 2018
oncology deals
Go for a true win-win
more accurate
pipeline forecasting
vs. traditional methods
is possible when
applying machine
learning & statistical
modeling
Science alone can’t get you to the
finish line. Numerous safety nets
must be in place to steer the research
toward a more predictable and
favorable outcome. Injecting greater
accuracy into the development
process will enable more confident
decision-making – and help to hone
in on potential pitfalls along the way.
25%
Pursue cool science, but with some caveats
What makes the best
pharma deal?
How do you know if your drug target, medical device
or company is positioned to achieve maximum return on
investment? Regardless of the type of deal being made,
there are six common elements that, when pursued in
part or in combination, will drive the greatest value.
$428B 11%
$30B
Fewer deals, but greater dollars
Volumedown
Valueup
Overall 2018 deal values rose 9% to $428B
of 2018 oncology
deals were for cell
therapies, fueled
by the first CAR-T
therapy approvals
40%
10
10
ltf

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Elements of a good deal - infographic

  • 1. LS335130375 / 01 clarivate.com/cortellis © 2019 Clarivate Analytics. All rights reserved. Republication or redistribution of Clarivate Analytics content, including by framing or similar means, is prohibited without the prior written consent of Clarivate Analytics. Sources: * BenchSci – Pharma companies using artificial intelligence in drug discovery. Unless otherwise specified, all data in the above analysis was derived from Cortellis. Are you using data-driven decisions to generate maximum ROI? Cortellis can helpyoufind and evaluate opportunities, monitorpotential partners, and negotiatethe best deals possible. To learn more or schedule a demo, visit clarivate.com/cortellis-deals-intelligence Historically, manufacturing took a back seat to science. Now deals are built, at least in part, around this capability. Competition with biosimilar developers for capacity brings challenges to ramping up production once targets are approved. Understanding how a potential partner or target can meet demand enables a more strategic approach. 59 46 Record-breaking FDA NME approval numbers in 2017 in 2018 Consider manufacturing capabilities 50% 115% 3X China experienced significant growth in 2018: Licensing Private investment Competition is more intense than ever – dealmakers can’t afford to overlook opportunities. There’s huge growth in China and other markets, demonstrating how essential it is to incorporate every opportunity into analytic models. Strategies must consider an array of factors, including local regulatory constraints and the regional variations of the competitive and patent landscape. Cast a wide net * Use of AI in drug discovery is growing: more deals completed by small vs. large biopharmas in 2018: 246 vs.95 Has the deal been uniquely or originally structured? Are there multiple ways it could play out across indications and rights? Creativity could mean bringing artificial intelligence (AI), biomarkers or drug combinations into the discussion, or invoking a greater effort to involve patients in research. 125+ 18 of the top 20 pharmas pharma start-ups Get creative Deals get noticed when partners take on an intractable disease or make a bold stroke. The willingness – or urgency – to take an educated risk often delivers a compelling deal. Being bold may involve going after a big indication like Alzheimer’s or one addressed by microbiome research or immunotherapies. 9% 50% Drug failures and lack of approvals didn’t cool neuroscience deals in 2018: Licensing of 2018’s top oncology licensing deals were in immuno-oncology M&A Be bold Dealmakers are increasingly seeking out discovery phase assets: The lure of big money always grabs attention, but how can partners ensure a genuine win-win in the fast- paced and competitive biopharma deals space? Start planning early – and revise often – through careful assessment of timelines, risk-sharing and assessment of early phase assets. 13 ⅔ of the top 20 2018 licensing deals of all 2018 oncology deals Go for a true win-win more accurate pipeline forecasting vs. traditional methods is possible when applying machine learning & statistical modeling Science alone can’t get you to the finish line. Numerous safety nets must be in place to steer the research toward a more predictable and favorable outcome. Injecting greater accuracy into the development process will enable more confident decision-making – and help to hone in on potential pitfalls along the way. 25% Pursue cool science, but with some caveats What makes the best pharma deal? How do you know if your drug target, medical device or company is positioned to achieve maximum return on investment? Regardless of the type of deal being made, there are six common elements that, when pursued in part or in combination, will drive the greatest value. $428B 11% $30B Fewer deals, but greater dollars Volumedown Valueup Overall 2018 deal values rose 9% to $428B of 2018 oncology deals were for cell therapies, fueled by the first CAR-T therapy approvals 40% 10 10 ltf