Gartner Big Data Opportunities in Industries

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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.

Gartner at a Glance
World's
Largest
Community
of CIOs

800
Analysts

290,000
Client
Interactions

12,000
Client
Organizations

70% of
Fortune 1000

76% of
Global 500

Clients in
85 Countries
Vertical
Coverage
in Nine
Industries

10,200
Media
Inquiries

5,500
Benchmarks
480
Consultants

64
Conferences
1,700
Consulting
Engagements

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

Events for
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Operations Professionals
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20

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August 28 – 30, Cape Town, Africa
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Visit gartner.com/events
21

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22

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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