How does a patent strategy affect a tech startup company’s growth? This is a fundamental question for technology entrepreneurs, investors, lawyers and the innovation system as a whole. In this study, I shed light on this issue by conducting an empirical analysis of the patenting strategies of technology startups, examining the relationship between a company’s patent applications and different events over the company’s life: rounds of investment received, company acquisition and closure. I provide the first comprehensive cross-industry analysis of this question, by analyzing the patent portfolios of United States startups listed in CrunchBase, a crowd-sourced registry of tech companies used by the startup industry. By looking into these companies’ public patent applications from the United States Patent and Trademark Office (USPTO) database between 2008 and 2012, I examine the patenting patterns of startups as they progress through funding rounds.
Full study: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2610433
Contact: @celialerman
3. How do patents affect a tech
startup’s growth?
• Under what conditions should a
tech startup pursue patents?
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
4. Approach: A Quantitative Study
Startup
Launch
Investment
Acquisition
/ IPO
Analysis of startup
patent applications:
How do they
correlate with
companies’
milestones?
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
5. Approach: A Quantitative Study
Combining two databases that have not been used
jointly before:
Techcrunch’s
Crunchbase
United
States Patent
Office
Database
Crowdsourced Startup Index Official Patent Applications Database
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
6. Methodology
◦Patent applications 2008 – 2012
◦US-based startups with 10K USD starting capital–
9,208 startups
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
9. Who Are The Companies?
Software/Internet
73%
Biotechnology/Agricult
ure
10%
IT/Hardware
9%
Medical Industry
8% Industry
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
10. Where Are They Located?
* 65% of the companies are based in these five states
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
11. What Is Their Funding Situation?
Half of all companies received $ 1.5 M or less
Very high standard deviation
Almost all companies received between 1 and 5 funding
rounds
Virtually half of them (48.5%) received only 1 round
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
12. What Is Their Exit Status?
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
14. How Many Tech Startups Patent?
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
15. Tech Startup Industry & Patents
• Software companies are less likely to patent than those
in all other industries
• Hardware companies are more likely to patent than
biotechnology and medical ones
• In Hardware and Medical, many companies with a high
number of patents drive the high averages
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
16. Bigger Companies Patent More
• (Although not as much as
would be expected!)
• Positive but very low
correlation (r=0.15, p<0.001)
•Suggests that patents
are just one factor in
driving funding
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
17. Are Startups in Certain States More Likely
to Patent?
•No statistically significant differences between states, except for California (!)
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
18. How Can We Explain California?
+ bigger
companies
+ software
companies
COMPANYSIZE
INDUSTRY
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
19. When Does a Startup File Its First Patent?
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
20. When Does a Startup File Its First Patent?
• Software: First patents are better distributed across rounds
• Suggests patentable innovation arises when companies are
more mature, or patents as a luxury
• Time between patent application and Round 1:
+- 2 years
• Possibly decreasing patent signals over time:
companies which took longer to get funding after the patent
application, tended to receive total lower funding
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
22. Methodology:
Regressions and Basic Model
• Multivariate OLS linear regression model
• Controlling for funding rounds, company age, industry and
location in California
y = a + Patents* xpatents + funding_rounds* xfunding_rounds + age* Xage + hardmarket* xhardmarket + California* xCalifornia + e
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
23. Signals to Investors: Does the Number of
Patents Matter?
Patents just
as
“Checkbox”
Vs. Number
of patents
does
matter
Finding: Number of
patents associated
with higher total
funding
530k more per additional
patent
Limited
investor
patent due
diligence
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
24. Patent Timing: When Do Patents Most
Affect Funding?
• Significantly
• Very significantly
• Not significantly
Before
Round 1
Rounds 1-3
Rounds 4
and after
Role of
patents in
funding
evolving over
time
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
25. Patents, Exit & VC Funding
• Companies with patents were more likely to be
acquired (1.01)
• VC-backed companies tended to patent more than
non VC-backed, and to have a higher absolute
number of applications
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
26. Role of
Patents in
Tech
Startups
More Patents,
More Funding
Evolving
Importance in
Startup
Rounds
Patents,
Industry &
Location
Reconciling
views in VC
& industry
Counseling
clients
Celia Lerman – Stanford Law School / Rotman, Szlak & Lerman – @celialerman
More Patents, More Funding: Patents associated with higher funding
Evolving importance of patents: Until Round 3, especially 1-3
Market: hard Tech intensive industries are more sensitve to patents
Location: Companies in California patent more!
Reconciling: most of them in your industry are patenting
Counseling clients: now we have more data