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Smart City:
A Patent Thematic Analysis
Emmanuelle Fortune
20th April 2015
2 / II-SDV, April 20, 2015
► The concept of “Smart City” describes a city with
• industries in the fields of information and
communication technologies (ICT) and
• industries using ICT in their production processes
(Commissioner General for Sustainable Development,
2012)
► Objective of the study:
What does the landscape of “smart city” technologies
look like?
Smart City
3 / II-SDV, April 20, 2015
What does the landscape of “smart city” technologies
look like?
► Answer this question using patent data:
• Worldwide Patent Statistical Database (Patstat), EPO,
April 2014
► Indicators calculated as the count of patent
applications published
► Dimensions studied
• Technological domains
• Patent Offices
• Applicant’s origin (country)
4 /
Methodology of the study
1st step: Preliminary work on
all the Patstat
database
Selection of Patent Offices
Check publications on Patstat to
select Patent Offices which will
represent the world (the total of
publications): 71 Offices
II-SDV, April 20, 2015
5 /
Methodology of the study
2nd step: How to build the “Smart
City” corpus?
“Smart city” corpus
Construction of the “smart city” corpus of
patent applications published with a
CGSD (2012) definition and an expert of
the domain (patent examiner)
Main Patent Offices studied
Choosing the main Patent Offices which
will be studied
Check on these main Patent Offices
studied
Check presence of applicant and
presence of country of applicant to refine
the previous selection
II-SDV, April 20, 2015
6 /
►How to build a pertinent and unambiguous corpus of patent applications
relating to “Smart city”?
“Smart city” corpus
Smart
city
Smart transports
Smart energy
networks
Smart services
Smart buildings
Digital spaces
Information systems
Urban functionality
Problem encountered: no filter
possible for these 3 domains even
combining CPC and keywords
Methodological choice:
exclude these 3 domains to ensure
the quality of the study
Concept
examined
Definition used:
Commissioner General for
Sustainable Development,
2012
Methodology:
A patent examiner using the Y
symbol of the CPC (new
technological developments)
II-SDV, April 20, 2015
7 /
►Which main Patent Offices will be studied?
Main Patent Offices studied
Smart
city
Smart transports
Smart energy
networks
Smart services
Smart buildings
WIPO
EPO
USPTO
JPO
SIPO
KIPO
DPMA
IP Australia
CIPO
TIPO
UK IPO
INPI France
INPI Brazil
ROSPATENT
IMPI
15 main Patent Offices
represent 98% of all patent
applications published in the
“Smart city” corpus:
II-SDV, April 20, 2015
8 /
►Could we study applicant’s country of origin in these15 main Patent Offices?
3 Patent Offices excluded because of the lack of applicant presence or
origin:
Check on the main Patent Offices studied
Patent Offices
with the presence
of applicant
Patent Offices
with the presence
of applicant
country code
Patent
Office
Presence of applicant Presence of applicant country code
AU
Complete or nearly complete (less than 0,5%
missing) 98,7% missing
CN
4% missing
complete all over the period except 9% in 2011
and 15% in 2013
65,9% missing
Nearly complete until 2004 (0-3% missing)
7% missing in 2005 to 66,5% in 2009
100% missing since 2010
JP
11% missing
From 4 to 10% missing between 1998 and 2007
10-15% missing between 2008 and 2012
45% missing in 2013 99,9% missing
II-SDV, April 20, 2015
9 /
General Results: Smart city between 1998 and 2012
II-SDV, April 20, 2015
Smart
city
71 markets (Patent Offices)
116 148 patent applications published
0.5% of all the patent applications published
54 731 patent families
2.12 patent
applications by
family
10 / II-SDV, April 20, 2015
General Results: Smart city domains?
49%
32%
12%
7%
Smart city publications in 71 Patent Offices between
1998 and 2012 by smart city domain (%)
Smart
buildings
Smart energy
networks
Smart
transports
Smart
services
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
11 / II-SDV, April 20, 2015
General Results: Concrete technological domains?
Smart city publications in the 71 Patent Offices between 1998 and 2012
32,4%
16,4%
11,9%
18,4%
3,5% 2,9%
5,6%
0,0%
5,0%
10,0%
15,0%
20,0%
25,0%
30,0%
35,0%
by WIPO technological sub-domain (%)
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
84%
8%
7%
0,5% 0,5%
by WIPO technological domain (%)
Electrical
engineering
Mechanical
engineering
Instruments
Chemistry
Others
12 / II-SDV, April 20, 2015
General Results: Smart city trend between 1998 and 2012
2 849
3 534
4 686
6 085
6 960
8 945
12 545
18 738
0,3%
0,4%
0,5%
0,6%
0,7%
0,8%
0,9%
1,0%
0,0%
0,2%
0,4%
0,6%
0,8%
1,0%
1,2%
-
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
18 000
20 000
Publication years
Patent applications (number)
Share of smart cities
publications in the all patent
applications published (%)
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
13 / II-SDV, April 20, 2015
General Results: Year-on-year change in smart city
4%
12%
-1%
14%
4%
9% 5%
2% 2%
6%
2%
0%
2%
11%
7%
13%
0%
24%
10%
15%
3%
10%10%
14%
18%
14%
17%19%
-2%
3%
8%
13%
18%
23%
28%
1998-
1999
1999-
2000
2000-
2001
2001-
2002
2002-
2003
2003-
2004
2004-
2005
2005-
2006
2006-
2007
2007-
2008
2008-
2009
2009-
2010
2010-
2011
2011-
2012
Publication years
Variation of all technologies Variation of smart city
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
14 / II-SDV, April 20, 2015
Patent Offices: Smart city markets in 1998 and 2012?
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
1998
2012
15 /
Applicants: Specialization of applicants in 12 Patent Offices
in 2012
II-SDV, April 20, 2015
Source: INPI 2014 (calculation
based on PATSTAT-April 2014)
-
0,50
1,00
1,50
2,00
2,50
3,00
Smart
buildings
Smart
services
Smart energy
networks
Smart
transports
French German British
Applicants
-
0,50
1,00
1,50
2,00
Smart
buildings
Smart
services
Smart energy
networks
Smart
transports
Canadian American
Applicants
0
0,5
1
1,5
2
2,5
Smart
buildings
Smart
services
Smart
energy
networks
Smart
transports
Korean Taiwanese
Applicants
16 /
Only indicators
superior to 3%
Source : INPI 2014 (calculation based on PATSTAT-April 2014)
Applicants
II-SDV, April 20, 2015
Applicants strategies in smart city in 2012
17 /
Focus on French applicants: French applicants strategies in
smart city in 2012
II-SDV, April 20, 2015
NORTH
AMERICA
Mexico
0,2%
EPO
24,7%
France
31,1%
AFRICA
Korea
8,9%
WIPO
Germany
0,5%
LATIN
AND
SOUTH
AMERICA
EUROPE
ASIA
WIPO
20,7%
Canada
0,2%
Brasil
0,2%
Russia
0,7%
Taiwan
2%
USA
8,2%
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
18 /
Focus on French applicants: Main French key players
between 1998 and 2012
II-SDV, April 20, 2015
Source: INPI 2014 (calculation based on PATSTAT-April 2014)
19 /
Further information on INPI work on
patents:
http://www.inpi.fr/fr/services-et-
prestations/ressources-
documentaires/etudes.html
efortune@inpi.fr
Thank you!
II-SDV, April 20, 2015

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II-SDV 2015, 20 - 21 April, in Nice

  • 1. Smart City: A Patent Thematic Analysis Emmanuelle Fortune 20th April 2015
  • 2. 2 / II-SDV, April 20, 2015 ► The concept of “Smart City” describes a city with • industries in the fields of information and communication technologies (ICT) and • industries using ICT in their production processes (Commissioner General for Sustainable Development, 2012) ► Objective of the study: What does the landscape of “smart city” technologies look like? Smart City
  • 3. 3 / II-SDV, April 20, 2015 What does the landscape of “smart city” technologies look like? ► Answer this question using patent data: • Worldwide Patent Statistical Database (Patstat), EPO, April 2014 ► Indicators calculated as the count of patent applications published ► Dimensions studied • Technological domains • Patent Offices • Applicant’s origin (country)
  • 4. 4 / Methodology of the study 1st step: Preliminary work on all the Patstat database Selection of Patent Offices Check publications on Patstat to select Patent Offices which will represent the world (the total of publications): 71 Offices II-SDV, April 20, 2015
  • 5. 5 / Methodology of the study 2nd step: How to build the “Smart City” corpus? “Smart city” corpus Construction of the “smart city” corpus of patent applications published with a CGSD (2012) definition and an expert of the domain (patent examiner) Main Patent Offices studied Choosing the main Patent Offices which will be studied Check on these main Patent Offices studied Check presence of applicant and presence of country of applicant to refine the previous selection II-SDV, April 20, 2015
  • 6. 6 / ►How to build a pertinent and unambiguous corpus of patent applications relating to “Smart city”? “Smart city” corpus Smart city Smart transports Smart energy networks Smart services Smart buildings Digital spaces Information systems Urban functionality Problem encountered: no filter possible for these 3 domains even combining CPC and keywords Methodological choice: exclude these 3 domains to ensure the quality of the study Concept examined Definition used: Commissioner General for Sustainable Development, 2012 Methodology: A patent examiner using the Y symbol of the CPC (new technological developments) II-SDV, April 20, 2015
  • 7. 7 / ►Which main Patent Offices will be studied? Main Patent Offices studied Smart city Smart transports Smart energy networks Smart services Smart buildings WIPO EPO USPTO JPO SIPO KIPO DPMA IP Australia CIPO TIPO UK IPO INPI France INPI Brazil ROSPATENT IMPI 15 main Patent Offices represent 98% of all patent applications published in the “Smart city” corpus: II-SDV, April 20, 2015
  • 8. 8 / ►Could we study applicant’s country of origin in these15 main Patent Offices? 3 Patent Offices excluded because of the lack of applicant presence or origin: Check on the main Patent Offices studied Patent Offices with the presence of applicant Patent Offices with the presence of applicant country code Patent Office Presence of applicant Presence of applicant country code AU Complete or nearly complete (less than 0,5% missing) 98,7% missing CN 4% missing complete all over the period except 9% in 2011 and 15% in 2013 65,9% missing Nearly complete until 2004 (0-3% missing) 7% missing in 2005 to 66,5% in 2009 100% missing since 2010 JP 11% missing From 4 to 10% missing between 1998 and 2007 10-15% missing between 2008 and 2012 45% missing in 2013 99,9% missing II-SDV, April 20, 2015
  • 9. 9 / General Results: Smart city between 1998 and 2012 II-SDV, April 20, 2015 Smart city 71 markets (Patent Offices) 116 148 patent applications published 0.5% of all the patent applications published 54 731 patent families 2.12 patent applications by family
  • 10. 10 / II-SDV, April 20, 2015 General Results: Smart city domains? 49% 32% 12% 7% Smart city publications in 71 Patent Offices between 1998 and 2012 by smart city domain (%) Smart buildings Smart energy networks Smart transports Smart services Source: INPI 2014 (calculation based on PATSTAT-April 2014)
  • 11. 11 / II-SDV, April 20, 2015 General Results: Concrete technological domains? Smart city publications in the 71 Patent Offices between 1998 and 2012 32,4% 16,4% 11,9% 18,4% 3,5% 2,9% 5,6% 0,0% 5,0% 10,0% 15,0% 20,0% 25,0% 30,0% 35,0% by WIPO technological sub-domain (%) Source: INPI 2014 (calculation based on PATSTAT-April 2014) 84% 8% 7% 0,5% 0,5% by WIPO technological domain (%) Electrical engineering Mechanical engineering Instruments Chemistry Others
  • 12. 12 / II-SDV, April 20, 2015 General Results: Smart city trend between 1998 and 2012 2 849 3 534 4 686 6 085 6 960 8 945 12 545 18 738 0,3% 0,4% 0,5% 0,6% 0,7% 0,8% 0,9% 1,0% 0,0% 0,2% 0,4% 0,6% 0,8% 1,0% 1,2% - 2 000 4 000 6 000 8 000 10 000 12 000 14 000 16 000 18 000 20 000 Publication years Patent applications (number) Share of smart cities publications in the all patent applications published (%) Source: INPI 2014 (calculation based on PATSTAT-April 2014)
  • 13. 13 / II-SDV, April 20, 2015 General Results: Year-on-year change in smart city 4% 12% -1% 14% 4% 9% 5% 2% 2% 6% 2% 0% 2% 11% 7% 13% 0% 24% 10% 15% 3% 10%10% 14% 18% 14% 17%19% -2% 3% 8% 13% 18% 23% 28% 1998- 1999 1999- 2000 2000- 2001 2001- 2002 2002- 2003 2003- 2004 2004- 2005 2005- 2006 2006- 2007 2007- 2008 2008- 2009 2009- 2010 2010- 2011 2011- 2012 Publication years Variation of all technologies Variation of smart city Source: INPI 2014 (calculation based on PATSTAT-April 2014)
  • 14. 14 / II-SDV, April 20, 2015 Patent Offices: Smart city markets in 1998 and 2012? Source: INPI 2014 (calculation based on PATSTAT-April 2014) 1998 2012
  • 15. 15 / Applicants: Specialization of applicants in 12 Patent Offices in 2012 II-SDV, April 20, 2015 Source: INPI 2014 (calculation based on PATSTAT-April 2014) - 0,50 1,00 1,50 2,00 2,50 3,00 Smart buildings Smart services Smart energy networks Smart transports French German British Applicants - 0,50 1,00 1,50 2,00 Smart buildings Smart services Smart energy networks Smart transports Canadian American Applicants 0 0,5 1 1,5 2 2,5 Smart buildings Smart services Smart energy networks Smart transports Korean Taiwanese Applicants
  • 16. 16 / Only indicators superior to 3% Source : INPI 2014 (calculation based on PATSTAT-April 2014) Applicants II-SDV, April 20, 2015 Applicants strategies in smart city in 2012
  • 17. 17 / Focus on French applicants: French applicants strategies in smart city in 2012 II-SDV, April 20, 2015 NORTH AMERICA Mexico 0,2% EPO 24,7% France 31,1% AFRICA Korea 8,9% WIPO Germany 0,5% LATIN AND SOUTH AMERICA EUROPE ASIA WIPO 20,7% Canada 0,2% Brasil 0,2% Russia 0,7% Taiwan 2% USA 8,2% Source: INPI 2014 (calculation based on PATSTAT-April 2014)
  • 18. 18 / Focus on French applicants: Main French key players between 1998 and 2012 II-SDV, April 20, 2015 Source: INPI 2014 (calculation based on PATSTAT-April 2014)
  • 19. 19 / Further information on INPI work on patents: http://www.inpi.fr/fr/services-et- prestations/ressources- documentaires/etudes.html efortune@inpi.fr Thank you! II-SDV, April 20, 2015