Big data is gathered
from everywhere be it posts, updates,
comments, etc. to social media sites, digital pictures and videos uploaded onto
internet and stored on the various devices, purchase transaction records, and
cell phone GPS signals, etc. According to IBM, every day, we create 2.5
quintillion bytes of data — so much that 90% of the data in the world today has
been created in the last two years alone. Big data is any type of data -
structured and unstructured data such as text, sensor data, audio, video, click
streams, log files and more and these data sets are huge and complex which
cannot be analyzed and processed using normal data base tools and technologies.
Big data sizes are a constantly moving target, as of 2012 ranging from a few dozen terabytes to many petabytes of
data in a single data set and requires "massively parallel software running
on tens, hundreds, or even thousands of servers.” According
to IDC, the volume of digital content is expected to grow to 2.7 zettabytes
(ZB), up 48 percent from 1.8 zettabytes in 2011. With more than one billion smartphone users worldwide, and more than
billion consumers are active on the social media platform like Facebook , are
generating zettabytes of data (1 zettabyte equals more than a trillion GB),
giving out information on their likes and dislikes, shopping preferences and
much more.
According to Gartner,
Big data will drive $28 billion of worldwide IT spending in 2012 and is
forecasted to drive $34 billion of IT spending in 2013. Big data will drive $232 billion in spending through
2016. It will directly or indirectly drive $96 billion of worldwide IT spending
in 2012, and is forecast to drive $120 billion of IT spending in 2013.
Big data currently has the most significant impact in social network analysis
and content analytics with 45 percent of new spending each year. Most of the
current spending is used in adapting traditional solutions to the big data
demands — machine data, social data, widely varied data, unpredictable
velocity, and so on — and only $4.3 billion in software sales will be driven
directly by demands for new big data functionality in 2012. “However, through
2018, big data requirements will gradually evolve from differentiation to
'table stakes' in information management practices and technology. By 2020, big
data features and functionality will be non-differentiating and routinely
expected from traditional enterprise vendors and part of their product
offerings”, according to Mark Beyer, research vice president at Gartner. Gartner
expects leading organizations to begin to use their big data experience in an
almost embedded form in their architectures and practices by 2015.
According to IDC
estimates, Big Data market is expected to grow from $3.2 billion in 2010 to
$16.9 billion in 2015. This represents a compound annual growth rate (CAGR) of
40% or about 7 times that of the overall information and communications
technology (ICT) market. IDC also forecasts a significant opportunity for both
Large IT vendors as they acquire smaller players and launch their own product
offerings and Startups where more than half a billion dollars in venture
capital has been invested in new Big Data technology. IDC study also highlights
the five-year CAGR for the worldwide market is expected to be nearly 40%, the
growth of individual segments varies from 27.3% for servers and 34.2% for
software to 61.4% for storage. Over time with the growth in appliances, Cloud, and outsourcing
deals for Big Data technology business organization focus will shift from
technology capabilities towards the business value arguments. Most of the
vendors will focus on system performance, availability, security, and
manageability and there will be very little differentiation among the various
vendors.
Discussion Points:
1.What is Big Data, where is it gathered from and what is its role in Business Organizations?
2.What are the technology implications of Big Data and how to analyze it and use it for Business growth?
3.How should business organizations deal with Big Data and how to use it in strategic decision making?
Major Big Data Vendor revenue 2011:
Source: http://wikibon.org/wiki/v/Big_Data_Market_Size_and_Vendor_Revenues
Vendor
|
Big Data Revenue (in $US millions)
|
Big Data Revenue as Percentage of
Total Revenue
|
IBM
|
$953
|
1%
|
Intel
|
$765
|
1%
|
HP
|
$513
|
0%
|
Fujitsu
|
$285
|
1%
|
Accenture
|
$273
|
0%
|
CSC
|
$160
|
1%
|
Dell
|
$154
|
0%
|
Seagate
|
$149
|
1%
|
EMC
|
$138
|
1%
|
Teradata
|
$120
|
5%
|
Amazon Web Services
|
$116
|
18%
|
SAS Institute
|
$115
|
24%
|
Capgemini
|
$111
|
1%
|
Hitachi
|
$110
|
0%
|
SAP
|
$85
|
0%
|
Opera Solutions
|
$76
|
76%
|
NetApp
|
$75
|
0%
|
Atos S.A.
|
$75
|
1%
|
Huawei
|
$73
|
0%
|
Siemens
|
$69
|
0%
|
Xerox
|
$67
|
1%
|
Tata Consultancy Services
|
$61
|
1%
|
SGI
|
$60
|
9%
|
Logica
|
$60
|
1%
|
Mu Sigma
|
$55
|
85%
|
Microsoft
|
$50
|
0%
|
Oracle
|
$50
|
0%
|
Splunk
|
$45
|
68%
|
1010data
|
$25
|
83%
|
Supermicro
|
$23
|
2%
|
MarkLogic
|
$20
|
25%
|
Cloudera
|
$18
|
100%
|
Red Hat
|
$18
|
2%
|
Informatica
|
$17
|
2%
|
Calpont
|
$15
|
60%
|
ClickFox
|
$11
|
31%
|
Fractal Analytics
|
$12
|
100%
|
Pervasive Software
|
$10
|
20%
|
Tableau Software
|
$10
|
14%
|
Think Big Analytics
|
$8
|
100%
|
MapR
|
$7
|
100%
|
Digital Reasoning
|
$6
|
50%
|
ParAccel
|
$5
|
45%
|
Couchbase
|
$5
|
84%
|
DataStax
|
$4.5
|
100%
|
10gen
|
$4.5
|
100%
|
Datameer
|
$4
|
100%
|
Hortonworks
|
$3
|
100%
|
RainStor
|
$2.5
|
100%
|
Attivio
|
$2.5
|
13%
|
QlikTech
|
$2
|
1%
|
HPCC Systems
|
$2
|
100%
|
Karmasphere
|
$2
|
100%
|
Other
|
$25
|
n/a%
|
Total
|
$5,125
|
1%
|
