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This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other authorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2011 Gartner, Inc. and/or its affiliates. All rights reserved.
Lisa Kart
Research Director
Lisa.Kart@gartner.com
High-Tech Tuesday Webinar: Big Data Opportunities in Vertical Industries
@GARTNER_INC
Gartner at a Glance
800 Analysts
12,000 Client
Organizations
290,000 Client
Interactions
Vertical Coverage
in Nine Industries
5,500 Benchmarks
10,200 Media
Inquiries
World's Largest
Community of CIOs
64 Conferences
76% of Global 500
1,700 Consulting
Engagements
Clients in 85 Countries
70% of Fortune 1000
480 Consultants
This presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other authorized recipients. This presentation may contain information that is confidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2012 Gartner, Inc. and/or its affiliates. All rights reserved.
Lisa Kart
Research Director
Lisa.Kart@gartner.com
High-Tech Tuesday Webinar: Big Data Opportunities in Vertical Industries
Poll No. 1: Big Data Is …
• Hype, marketing for something that is already being done today
• Something new that will result in real spending by organizations and require new solutions
• Not sure/"on the fence"
4
Agenda
• What is "Big Data"?
• Industry-Specific Business Problems
• Comparing Industry Opportunities
• Big Data Providers in Industries
• Key Take-Aways
• Q&A
6
What Is "Big Data"?
"Big data" is high-
volume, high-velocity
and high-variety
information assets that
demand cost-effective,
innovative forms of
information processing
for enhanced insight and
decision making.
Source: The Importance of 'Big Data': A Definition, Mark Beyer, Douglas Laney, G00235055
7
Poll No. 2: Where Are You Currently With Big Data?
• Not sure/trying to decide if it is real
• Evaluating/sizing the market opportunity
• Repositioning/redeveloping existing products and services
• Developing new products and services
• Have a sales pipeline/current projects under way for big data solutions
9
Comparison of Data Characteristics by Industry
Ba
nkin
g a
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Pro
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ers
Ins
ura
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Ma
nu
fac
turi
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an
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l R
es
ou
rce
s
Re
tail
Tra
nsp
ort
ati
on
Uti
liti
es
Wh
ole
sa
le T
rad
e
Volume
of Data
Velocity
of Data
Variety
of Data
Potential big data opportunity on each dimension is:
Very hot (compared with other industries)
Hot
Moderate
Low
Very low (compared with other industries)
10
Comparison of Data Characteristics by Industry
Ba
nkin
g a
nd
Se
cu
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Co
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ica
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ns,
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en
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He
alt
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Pro
vid
ers
Ins
ura
nce
Ma
nu
fac
turi
ng
an
d
Na
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l R
es
ou
rce
s
Re
tail
Tra
nsp
ort
ati
on
Uti
liti
es
Wh
ole
sa
le T
rad
e
Volume
of Data
Velocity
of Data
Variety
of Data
Underutilized
"Dark Data"
Potential big data opportunity on each dimension is:
Very hot (compared with other industries)
Hot
Moderate
Low
Very low (compared with other industries)
11
Comparison of Spending Intensity by Industry
Ban
kin
g a
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ica
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Hea
lth
ca
re
Pro
vid
ers
Ins
ura
nce
Ma
nu
fac
turi
ng
an
d
Natu
ral R
es
ou
rce
s
Reta
il
Tra
nsp
ort
ati
on
Uti
liti
es
Wh
ole
sa
le T
rad
e
Hardware
Software
Services
Potential big data opportunity on each dimension is:
Very hot (compared with other industries)
Hot
Moderate
Low
Very low (compared with other industries)
12
Storage Growth Across Industries
Banking and Securities
Communications and Media
Education
Healthcare Providers
Insurance
Manufacturing Retail
Transportation
Utilities
Wholesale Trade
8
9
10
11
12
13
14
0.5 1.0 1.5 2.0 2.5 3.0 3.5
An
nu
al
Gro
wth
Ra
te i
n D
ata
Sto
rag
e
20
11 a
nd
20
16
(%
)
Data Storage Spend as Percentage of Total IT Spending
2011
2016
Source: Gartner (July 2012)
13
N = 473
Has your organization already invested in technology specifically designed to address the big data challenge?
Yes 27%
No, but plan to within the
next year 15% No, but plan
to within two years 16%
No plans at this time
31%
Don’t know 11%
Invested in technology for big data?
More than 25% already invested in technology for big data.
Thirty-one percent plan to invest in technology for big data during the next two years.
Source: Gartner (July 2012)
Big Data Investments
14
39% 29%
36% 36% 25% 21%
31% 22% 23% 23%
17%
12% 11% 15%
20% 18%
17%
12% 18%
8%
17%
29% 21% 15% 15%
21% 11%
18% 9%
18%
28%
18% 29%
25% 30% 36%
28% 30% 37% 35%
12% 4%
9% 10% 5% 14% 18%
13% 16%
Ed
uca
tio
n
Re
tail
Tra
nsp
ort
atio
n
He
alth
ca
re
Co
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un
ica
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ns,
Me
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, S
erv
ice
s
Insu
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ce
En
erg
y, U
tilit
ies
Ba
nkin
g
Ma
nu
factu
rin
g
Go
ve
rnm
en
t
Don’t know
No plans at this time
No, but plan to within two years
No, but plan to within the next year
Yes
Source: Gartner (July 2012)
Has your organization already invested in technology specifically designed to address the big data challenge?
Big Data Investments by Industry
15
What You Need to Do to Capitalize on the Big Data Opportunity
1. Get familiar with industry-specific business problems
2. Know the data characteristics in each industry
3. Understand where the spending is happening
4. Match market needs with your own solutions and capabilities
16
Big Data Solution Providers by Industry B
an
kin
g a
nd
S
ecu
riti
es
Co
mm
un
icati
on
s,
Med
ia a
nd
Serv
ices
Ed
ucati
on
Go
vern
men
t
Healt
hcare
P
rov
ide
rs
Insu
ran
ce
Man
ufa
ctu
rin
g
an
d N
atu
ral
Reso
urc
es
Reta
il
Tra
nsp
ort
ati
on
Uti
liti
es
Wh
ole
sale
Tra
de
1010data
Nice Actimize
Panopticon Software
Quartet FS
Streambase Systems
Infochimps
Pervasive Software
Splunk
Visible Measures
Knewton and Carnegie Learning
MyFit/ Naviance
Digital Reasoning
HP
Socrata
Cerner
Explorys
Humedica
Recombinant Data
The Climate Corp.
Octo Telematics
Qualcomm
Sprint
Aspen Technology
CSC
Invensys
OSIsoft
Pentaho
First Insight
First Retail
Manhattan Associates
Qualcomm
ABB
Alstom
Cloudera
Siemens
Epicor
Fujitsu
Infor
Vistex
Multiple Industries: Apache Hadoop, EMC Greenplum, IBM, Informatica, Microsoft, Opera Solutions, Oracle, SAP, SAS Institute, Teradata
17
Summary, Key Take-Aways
• Real spending around big data
• To find your areas of opportunity:
- Understand specific business problems and use cases
- Know the nature of the data by industry
- Find areas of spending and growth
- Match your capabilities to these opportunities
• Vertical industry expertise is key
18
Vertical Industries Team: Helping Providers Understand Vertical Markets
Christine Adams
GTM & MVP
Applications, Industries, M&C
Susan Cournoyer
MVP, Vertical Industries
Financial Services
Contributing Analysts
Jeff Roster
Research VP
Retail
Rishi Sood
Research VP
Government
Vertical Industries
Derry N. Finkeldey
VI Agenda Manager, Principal Analyst
Insurance, Vertical Industries, APAC
Vittorio D’Orazio
Research Director
Financial Services
Vertical Industries, EMEA
Venecia Liu
Research VP
Media & Communications
NA & APAC
Anurag Gupta
Research Director
Healthcare & Government
EMEA & APAC
Lisa Kart
Research Director
Financial Services
Kenneth F. Brant
Research Director
Manufacturing
Robert P. Anderson
Research VP
Wholesale, Transportation/Travel
SMB Agenda Manager
Small and Midsize Enterprises
Christine Arcaris
Research Director
Government, Utilities
Rika Narisawa
Research Analyst
Vertical Industries, Japan
19
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August 20 – 23, San Diego, CA
20
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Recommended Reading
Market Trends: Big Data Opportunities in Vertical Industries Lisa Kart (G00235734)
The Importance of 'Big Data': A Definition Mark Beyer, Douglas Laney (G00235055)
Hype Cycle for Big Data, 2012 Anne Lapkin (G00235042)
Big Data Special Report David Newman, Mark Beyer (G00233537)
23
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