Growth In the
Cloud
Global data center traffic is projected to nearly
triple between 2013 and 2018, with data center
traffic specifically in the cloud forecast to quadruple
during that period.
By 2018, 76% of global data
center traffic will come from cloud
services and applications.
2.1 ZB
1.5 ZB
1.6 ZB
6.5 ZB
2013
2018
3.1 ZB
8.6 ZB
Total Data Center Traffic
Total Data Center Traffic
Traditional
Data Center Traffic
Cloud
Data Center Traffic
1 zettabyte (ZB) is equal to sextillion bytes, or a trillion gigabytes.
How Much Data Is 8.6 Zettabytes?
9 trillion hours of online high-definition
(HD) video streaming.
Equal to about 3 hours of daily
streamed HD video for every person
on earth in 2018 (7.6 billion people).
119 trillion hours of streaming music.
Equal to about 22 months of continuous
music streaming for the world’s
population in 2018.
21 trillion hours of business web
conferencing with video.
Equal to about 17 hours of daily web
conferencing for the world’s workforce in 2018.
Where Does This Data Center
Traffic Originate?
Some traffic flows between the data center
and end users, some traffic flows between
data centers, and some traffic stays within
the data center.
How Do These Traffic Types
Contribute to the Overall
Data Center Traffic?
75%
17%
8%
0.7 ZB (8%) will come
from traffic between
data centers, such as
replication and
interdatabase links.
By 2018, traffic
between data
centers and end
users will reach
1.5 ZB annually
(17% of total data
center traffic).
But the vast majority of
data center traffic, 6.4 ZB
(75%), will still be coming
from within the data
center, such as storage,
production, development,
and authentication traffic.
Cloud Traffic and Workloads
Cloud traffic will quadruple
between 2013 and 2018.
6.5 ZB
166 million cloud
workloads
1.6 ZB
57 million cloud
workloads
2013
2018
About 78% of all workloads will be cloud based by 2018.
Cloud workloads are growing significantly
(24% compound annual growth rate [CAGR]), while
traditional data center workloads are declining (–2% CAGR).
Differences in regional network
behavior and resources influence
data growth. Internet ubiquity
varies by region.
Fixed Compared to Mobile
Here are the regional
projections for fixed
Internet adoption as
a percentage of the
population by 2018:
Here is the projected
regional growth for
fixed Internet adoption
between 2013 and 2018:
Fixed Internet Users by 2018
Fixed Internet Users
Region (in alphabetical order)
Asia Pacific
Region Increases (or Deltas),
2013 to 2018
Central and
Eastern Europe
Latin
America
13.5%
48%
North
America
13%
76%
Western
Europe
71%
Western
Europe
Asia
Pacific
22.5%
68%
36.3%
48%
26%
79%
25.9%
80%
Western
Europe
North
America
Region Increases (or Deltas),
2013 to 2018 (in alphabetical order)
47%
Middle East
and Africa
6.6%
Mobile Internet Users
Region
(in alphabetical order)
Latin
America
Middle East
and Africa
Here is the projected
regional growth for
mobile broadband
adoption between
2013 and 2018:
Mobile Internet Users by 2018
Asia
Pacific
Latin
America
4.7%
4.8%
Here are the regional
projections for mobile
Internet adoption as a
percentage of the
population by 2018:
Central and
Eastern Europe
Central and
Eastern Europe
7.9%
36%
Middle East
and Africa
North
America
Asia Pacific
7.2%
30%
Central and
Eastern Europe
28.2%
Latin
America
15.9%
Middle East
and Africa
23.3%
North
America
Western
Europe
Regional Fixed and Mobile Device
Ownership and Connections
Influence Cloud Readiness
VS
Here are the regions that had
Here are regions projected to
the largest average number of
have the largest average
fixed and mobile devices and
number of fixed and mobile
machine-to-machine (M2M)
devices and M2M connections
connections per Internet user
per Internet user by 2018:
in 2013:
Average Devices per
Internet User by Region in 2013
(in numerical order; top 3 regions)
Average Devices per
Internet User by Region by 2018
(in numerical order; top 3 regions)
North America
North America
10.81
6.61
Middle East and Africa
Western Europe
5.95
7.97
Western Europe
Central and Eastern Europe
5.02
4.86
Source: Cisco Global Cloud Index, 2014
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