High-Tech Tuesday Webinar:
Big Data Opportunities in
Vertical Industries
Lisa Kart
Research Director
[email protected]
@GARTNER_INC
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.
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High-Tech Tuesday Webinar:
Big Data Opportunities in
Vertical Industries
Lisa Kart
Research Director
[email protected]
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.
Big Data: Hype vs. Reality?
3
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
Big Data: Hype vs. Reality?
5
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 highvolume, 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
Industry Examples
8
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
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
Wholesale Trade
Utilities
Transportation
Retail
Manufacturing and
Natural Resources
Insurance
Healthcare
Providers
Government
Education
Communications,
Media and Services
Banking and
Securities
Comparison of Data Characteristics
by Industry
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
Wholesale Trade
Utilities
Transportation
Retail
Manufacturing and
Natural Resources
Insurance
Healthcare
Providers
Government
Education
Communications,
Media and Services
Banking and
Securities
Comparison of Data Characteristics
by Industry
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
Wholesale Trade
Utilities
Transportation
Retail
Manufacturing and
Natural Resources
Insurance
Healthcare
Providers
Government
Education
Communications,
Media and Services
Banking and
Securities
Comparison of Spending Intensity
by Industry
Storage Growth Across Industries
Annual Growth Rate in Data Storage
2011 and 2016 (%)
14
Utilities
13
Banking and
Securities
Healthcare Providers
Communications and
Media
2016
12
Education
Transportation
11
Wholesale Trade
Insurance
10
9
2011
Retail
Manufacturing
8
0.5
1.0
1.5
2.0
2.5
3.0
Data Storage Spend as Percentage of Total IT Spending
Source: Gartner (July 2012)
13
3.5
Big Data Investments
Has your organization already invested in technology specifically designed to
address the big data challenge?
Invested in technology
for big data?
Don’t know
11%
Yes
27%
No plans at
this time
31%
No, but plan
to within the
next year
No, but plan
15%
to within two
years
16%
N = 473
Source: Gartner (July 2012)
14
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.
Big Data Investments by Industry
Has your organization already invested in technology specifically designed to
address the big data challenge?
25%
10%
5%
30%
36%
14%
21%
17%
11%
15%
21%
15%
17%
20%
30%
37%
35%
No plans at this time
21%
Insurance
18%
12%
31%
Energy, Utilities
25%
Communications,
Media, Services
36%
Healthcare
Transportation
Retail
Education
36%
Don’t know
11%
18%
29%
16%
15%
12%
39%
13%
28%
17%
29%
18%
Source: Gartner (July 2012)
15
9%
18%
18%
8%
22%
23%
23%
Government
18%
29%
9%
Manufacturing
28%
4%
Banking
12%
No, but plan to within
two years
No, but plan to within
the next year
Yes
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
Quartet FS
Visible
Measures
Octo
Telematics
CSC
Explorys
HP
MyFit/
Naviance
Humedica
First Insight
Manhattan
Associates
First Retail
Socrata
Wholesale Trade
Aspen
Technology
Utilities
The Climate
Corp.
ABB
Epicor
Alstom
Fujitsu
Cloudera
Infor
Siemens
Vistex
Transportation
Splunk
Cerner
Retail
Panopticon
Software
Manufacturing
and Natural
Resources
Pervasive
Software
Digital
Reasoning
Insurance
Nice
Actimize
Knewton and
Carnegie
Learning
Healthcare
Providers
Infochimps
Government
Communications,
Media and Services
1010data
Education
Banking and
Securities
Big Data Solution Providers by Industry
Qualcomm
Invensys
Recombinant
Data
Qualcomm
OSIsoft
Sprint
Pentaho
Streambase
Systems
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
Vertical Industries
Robert P. Anderson
Research VP
Wholesale, Transportation/Travel
Contributing Analysts
Christine Arcaris
Research Director
Government, Utilities
Kenneth F. Brant
Research Director
Manufacturing
Vittorio D’Orazio
Research Director
Financial Services
Vertical Industries, EMEA
Derry N. Finkeldey
VI Agenda Manager, Principal Analyst
Insurance, Vertical Industries, APAC
Anurag Gupta
Research Director
Healthcare & Government
EMEA & APAC
Lisa Kart
Research Director
Financial Services
Venecia Liu
Research VP
Media & Communications
NA & APAC
SMB Agenda Manager
Small and Midsize Enterprises
Jeff Roster
Research VP
Retail
Rishi Sood
Research VP
Government
19
Rika Narisawa
Research Analyst
Vertical Industries, Japan
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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