The IndSIGHTS Signature Industry Primer: Information Technology is specially created with one purpose in mind. To instantly load executives and professionals with rich industry knowledge from one single source. We want to help you cut the learning curve, get up-to-speed quickly and deliver immediate impact in your job or to your client. Please visit http://indSIGHTS.com

1. INDSIGHTS SIGNATURE INDUSTRY PRIMERS:
INFORMATION TECHNOLOGY
(A VISUAL GUIDE)
1.0
INFORMATION TECHNOLOGY
STANDARD EDITION
Copyright © 2013 INDSIGHTS. All rights reserved. LE
SA
SA
SA
SA
SA
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PL
SAM
PLE
SAM
PL
SAM
PLE
SAM
SAM
PLE
SAM
PLE
SAM
PLE
AM
PLE
ORM
SAM
PLE
AM
PLE
GG
ECH
SAM
PLE
AM
PLE
RSRS
Y
SAM
PLE
S
SAM
PLE
S
SAM
PLE
S
SAM
PLE
S

2. SELECTED
REFERENCES
ADDITIONAL
RESOURCES
COMMENTS /
FEEDBACK
CONCEPT STORYLINE PARTICIPANTSSPATIALSTRUCTURE
DEFINING
INFORMATION
TECHNOLOGY
(IT)
DEFINING
INFORMATION
TECHNOLOGY
(IT) INDUSTRY
STORY SO FAR
PRESENT STATE
 Market Size
 Top Tech
Companies (Top 25)
 Richest People
In IT (Top 20)
WAVES & ERAS
VALUE CHAIN
 Various Roles
 Market Size &
Major Players
COMPETITION
MAPS
 The Tech Battlefield
 High Level Positioning
 Role Mapping
 New Platform Wars
CUSTOMER
SEGMENTS
 Verticals & Horizontals
 Major Players
S-CURVES
 Technology
Improvement
 Market Adoption
GLOBAL
POSITIONING
 IT Hubs Around
The World
 Twin Hubs of
Innovation &
Entrepreneurship
 Corporate HQs
(Top 25 corporations)
 R&D Labs
(Top 10 corporations)
 Production Facilities
(Top 10 corporations)
 CS Universities
(Top 20)
INTEGRATED
FULFILLMENT
 Software
 Hardware
WORLDWIDE
IT TRADE
KEY
CORPORATIONS
PERSONALITIES
 Entrepreneurs
& Leaders
 Thought Leaders
 Inventors
NAVIGATION BUTTON
to return to this Contents page
from another page
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
CONTENTSSAM
PL
AM
SA
PLPLE
TE
SAM
PL
SA
PLE
PL
SAM
PL
SA
PLE
PL
SAM
PL
SA
PLE
PL
SAM
PL
SA
PLE
PL
SASAM
PLE
NCE
SASAM
PLE
LINE
SAM
PLE
SAM
PLE
RE
SAM
PLE
SAM
P
E
SAM
PLE
AMM
P
T)T)
DEFDEF
ININ
SAM
PLE
et Sit S
Top Tecop Tec
ComCom

SAM
PLE
&&
ayersayers
MPETITPETIT
PSPS
TT
SAM
PLE
of
n &&
eneureneu
SAM
PLE
dersders
SAM
PLE
SAM
PLE
SAM
PLE
Warsars
RR
SAM
PLE
iesies
ions)ions
SAM
PLE
SAM
PLE
SAM
PLE
ESES
nologyology
provemprovem
SAM
PLE
NTNT
ree
SAM
PLE
/
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

3. VALUE
CHAIN
 VARIOUS ROLES
 MARKET SIZE & MAJOR PLAYERS
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
STRUCTURESAM
PL
V
PLPLE
UC
SAM
PL
U
PLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
PLE
A
CH
PLE
E
N
SAM
PLE
SAM
PLE
SAM
PLE
VAR
 M
SAM
PLE
MAJO
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

4. INFRASTRUCTURE
SOFTWARE VENDOR
Infrastructure Software
OPERATING
SYSTEM VENDOR
Operating System
HARDWARE
VENDOR
Computing Systems
& Equipment
UPSTREAM
“INFRASTRUCTURE”
MIDSTREAM
“APPLICATION”
CUSTOMER
“SEGMENTS”
DOWNSTREAM
“DELIVERY” APP
STORE
Mobile Apps
INTERNET
PORTAL
Online
Services
RETAILER /
ENTERPRISE
RESELLER
Boxed Products
CLOUD
COMPUTING
PROVIDER
Cloud Services
SYSTEMS
INTEGRATOR
Enterprise
Solutions
OUTSOURCED
PROVIDER
Outsourced
Services
APPLICATION VENDOR
Pre-developed Applications
APPLICATION DEVELOPER
Custom Applications
Consumer
Business & Government
ENTERPRISE-CLASS VENDORS
Bundling
LUCRATIVE
MODERATE
COMMODITIZED
NOTES:
• Each company
can participate in
multiple roles in
the Value Chain.
Example:
HP and IBM are
each involved in
at least 7 roles.
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
STRUCTURE VALUE CHAIN  VARIOUS ROLES
M
PL
SAM
PPLE
UC
SAM
PL
SAM
PLE
PL
 V
SASAAM
PL
SAM
PLE
PL
SAM
PL
AM
PLE
PL
SAM
PLPLE
PL
SSSAM
PLE
SAM
PLE
SSAMM
PLE
SA
SAM
SAM
PLE
ORR
emem
M
P
SAM
PLE
SASSAM
P
RE VRE V
cture Scture S
SAM
PLE
DSTR
“APP
SAM
PLEPLICATLICAT
Pre-devee-deve
SA
SAM
PLE
SAM
PLEE
SAM
P
SAM
PLE
EVELOEVELO
ationsions
SA
SAM
PLE
SAM
PLE
NSTR
V
SAM
PLE
SSAM
PLE
ININ
AM
PLE
SAM
PLEE
M
PL
SAAM
PLE
SAM
PLEE
PLPLE
P
E
M
PLE
AM
RR
PLE
SAM
PLLE
AM
PLE
SAM
AM
PLE
SAM
er
SAM
PLE
AM
SAM
PLE
SASAM
PLE
SS
SAMM
PLE
SS
SAMM
PLE
ss &
SS
SAMM
PLE
SS

5. WAVES
& ERAS
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
STORYLINESAM
PL
W
PLPLE
RY
SAM
PL
V
PLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
PLE
WA
&
PLE
S
AS
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

6. IncreasingFunctionsofIT
Time
Digitization
Hardware
Software,ComputingPower
Bandwidth,Storage
Screen
Interactive
Collaborative
Work Productivity
Data Processing
Computation
1960s 1970s 1980s 1990s 2000s 2010s 2020s
ADOPTION OF
TECHNOLOGIES DRIVEN
BY COMMODITIZATION OF
KEY RESOURCES
Imaginary
Point of
Commoditization
Cheap, abundant
Mainframe Era (1965-‐1985)
4ErasofComputing1
Computation Wave Data Processing Wave Work Productivity Wave Collaborative Wave Interactive Wave Digitization Wave
PC Era: (1980-‐2000)
Web Era: (1995-‐2015)
Device Era: (2005-‐2025)
Expensive, scarce
1995
2005
2010
2015
VACUUMTUBE(1906)
ENVIACELECTRONICCOMPUTER(1946)
MILITARYAPPLICATIONS
TRANSISTOR(1946)
IBMSYSTEM/360MAINFRAME(1964)
BANKINGOPERATIONS
INTEGRATEDCIRCUIT(1959)&
MICROPROCESSOR(1971)
IBMPC(1981)
SPREADSHEET&WORDPROCESSOR
INTERNETPROTOCOLS(1974)
HAYESMODEM(1977)
EMAIL
WORLDWIDEWEB(1989)
NETSCAPE(1994)
ONLINESHOPPING
MP3(1990s)
IPOD(2001)
DIGITALMUSIC
6WavesofIT1
Legend
BREAK THROUGH INVENTION (YEAR)
BREAK THROUGH PRODUCT (YEAR)
EARLY KILLER APPLICATION
= Period of Critical Mass Adoption1 = Adapted from Robert Grossman,
The Structure of Digital Computing,
Open Data Press LLC, 2012
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
WAVES & ERAS ( 1 / 2 )STORYLINESAM
PLPLE
RY
SAM
PLPLE
PL
( 1 /
SAM
PLPLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
SAM
PL
M
P
SAM
PLE
on
S
ComputinComputin
E
PC E
M
P
M
P
95-‐20150
SA
SAM
PLE
PLE
SAM
PLE
IncreasncreasLE
SAM
PLE
M
P
4)4)
SAM
PLEWIDEWEWIDEWE
E(1994)(199
PP
PLE
SSAM
PL
SAM
PL
SAM
PLE
moditizatoditizat
SAM
PLE
M
P
SS
SAM
PLE
SAM
P
W
ININ
MICMIC
IBMPCIBMPC
SPREADSPREA
M
P
SAM
P
M
PLE
AM
P
M
PPLE
SAMM
PLEE
55
SAM
PLELE
ofITofIT1
MMM
PLE
SA
MM
PLE
SA
SAMM
PLE
SAM
PLE
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

7. S-CURVES
 TECHNOLOGY IMPROVEMENT
 MARKET ADOPTION
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
STRUCTURESAM
PL
S
PLPLE
UC
SAM
PL
U
PLE
PL
SAM
PL
E
PLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
SAM
PLE
C
EC
SAM
PLE
RV
OVE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

8. DOMINANT
DESIGN
EMERGES*
0
Early Markets
Mainstream Markets
Late Market
Legend
Platform Technology
a platform innovation that enables many new types
of innovations and applications to be viable or build on top of
Product Technology
a standalone innovation’s utility is limited to its intended product scope
James Utterback,
Mastering the Dynamics of Innovatio (1994)
A Dominant Design in a product class is, by definition,
the one that wins the allegiance of the marketplace,
the one that competitors and innovators must adhere
to if they hope to command significant market following.
84%
16%
100%
MarketAdoption
100
%
60
80
40
20
LAGGARDS
The Skeptics
16Mainframe
Inkjet Printer2
Email Client
MP3 Player2
Feature Phone
2.5%
%
LATE MAJORITY
The Conservatives
34Laptop
Enterprise Server
Desktop OS
Relational Database
PC
Office Productivity Software
Feature Phone?
Internet Search?
Digital Camera#
Hard Disk Drive
Enterprise Resource Planning
Internet Payment
VoIP
%
INNOVATORS
The Technology
Enthusiasts
2.5of market
Internet of Things
Computing Glasses
3D Printing
Augmented Reality
Flexible Displays
Wireless Power
Video Search
Digital Currency
%
EARLY
ADOPTERS
The Visionaries
13.5Cloud Computing
Crowdsourcing
Gesture Control
Speech Recognition
NFC Payment
Digital Rights Management
Solid State Drive
%
EARLY
MAJORITY
The Pragmatists
34Smartphone
Tablet
Social Networking
Location-‐based Services
eBook Reader
RFID
Online Video
Digital Mapping
%
This is an adaptation of Geoffrey Moore’s Technology Adoption Life
Cycle (Crossing the Chasm). The cumulative S-curve version is used,
instead of the more common Bell curve version. Based on anecdotal
observations and not empirical analysis; hence, any technology’s
position on the S-curve is strictly subjective, not objective.
Referring to single-purpose technologies
and products (e.g. inkjet printer, digital
camera), rather than the convergence
versions (all-in-one printer, smartphones)
Time
50%
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
STRUCTURE S-CURVES  MARKET ADOPTION
1 2
SAM
PLPLE
UC
SAM
PL
rey Moorey Moo
The cuThe c
l
PLE
PLE
AR
SAM
PLPLE
PL
SAM
2
SAM
PL
ologiesologies
igitaligita
PLE
PL
SAM
PLPLE
PL
SAM
PLE
SA
E
doo
00
LELE
EE
SAM
PLELE
RLY
ADOP
The V
1
M
PLEE
SAM
P
M
PP
SAM
PLEE
M
PLE
M
P
SAM
PLELEMarMar
AM
P
AM
SAM
SAM
PLE
M
PLE
G
Spe
N
SAM
PLE
S
ice
deo
l Mapping
LE
SAM
PLELE
JOR
tives
%
AM
PLE
AM
SAMAMM
SAM
PLEE
SA
SAM
PLEE
SS
PLEE
SAM
PLE
PLE
AN
LEEE
SAM
PLELE
SAM
PLELE
SAM
PLE
AM
ini
PLELE
SAM
PLPLE
M
PLE
AM
o
SAM
PLE
AM
SS
SAM
PLE
AMAM
SS
mee
SAM
PLE
James Utames Ut
MasterMaster
ifi
SS
SAM
PLE
icic
SS
SAM
PLELELE
SS
SAM
PLELELE
tili
SS

9. INTEGRATED
FULFILLMENT
 SOFTWARE
 HARDWARE
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
SPATIALSAM
PL
I
PLPLE
TIA
SAM
PL
E
PLE
PL
SAM
PL
A
PLE
PL
SAM
PLPLE
PL
SAM
PLPLE
PL
PLE
NT
FU
PLE
GR
IL
PLE
E
ME
SAM
PLE
T
SAM
PLE
SOF
 H
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS
SAM
PLE
SS

10. Silicon Valley, USA
Global HQ
Multiple Operational Sites
(Development Centers,
Data Centers, etc) in USA
London, UK
R&D Lab
European HQ
Dublin, Ireland
Software Development Center
European Data Center
Bangalore, India
Software Development Center
Beijing, China
R&D Lab
Hong Kong
North Asia / China HQ
& Data Centre
Sao Paulo, Brazil
South America HQ & Data Centre
Jakarta, Indonesia
Local Office
Singapore
South Asia / Australia HQ
& Data Centre
Manila, Philippines
Operations & Technical
Support Center
Dubai, UAE
Middle East / Africa HQ
Tel Aviv, Israel
R&D Lab
PRODUCT
DEVELOPMENT
Global HQ incorporates R&D
innovations into new product. It
designs the overall architecture
and parcels out parts of the
system to its Software
Development Centers.
R&D INITIATIVES
Global HQ (Silicon Valley)
manages the R&D efforts at
its 3 international labs in Tel
Aviv, London and Beijing.
IMPLEMENTATION
For the new client in Jakarta,
the implementation team is
assembled from the Singapore
HQ, solution partners and
local office to work on client
project. Further system
customization support is
provided remotely from
Bangalore Development Center.
SYSTEM
DEPLOYMENT
The customized system is
deployed, tested and
commissioned at the vendor’s
Data Center in Singapore.
Once system goes “live”, its
management is transferred to
the Philippines team.
TECHNICAL SUPPORT
The first line of technical support is
provided by the 24x7 Local Support
Center in Jakarta, who may visit the
customer site. Unresolved problem is
first escalated to the Operations &
Technical Support Center in Philippines
(which manages the system hosted in
Singapore) and eventually to the
Global Support in United States.
PRODUCT LAUNCH
The Product is announced at
the Software Vendor’s Annual
Conference in Silicon Valley. It
is then launched at separate
Partner Events by the five
Regional HQs. Internal
marketing teams kick off B2B
marketing and partner
development efforts.
5
5
1
2
2
2 4
6
66
1
1
1
6
3
3
Hubs
Nodes
3
3
3
3
3
CUSTOMER
LOCATION
(Jakarta)
4This scenario simulates the integrated
fulfillment process of an Enterprise
Software Vendor from conception to
post-delivery support.
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
SPATIAL INTEGRATED FULFILLMENT  SOFTWARESAM
PLSilicSilic
G
ASA
PLE
TIA
SAM
PL
azilzil
Q & Data C& Data
PLE
PLE
ILL
SAM
PL
Tel AvivTel Avi
R&D LR&D
PLE
PL
SAM
PL
ustralia HQstralia
PLE
PL
SAM
PL
Philippinhilippin
ns & Techns & Tec
nternter
PLE
PL
SAM
PLE
SAM
SAM
HubsHubs
N
SASSAM
PLE
SAM
PLE
SA
SAM
PLE
SA
SAM
PLE
SAAM
PL
SSS
SAM
PLE
M
PLE
PPLEELE
SAM
PLELEL
A
LE
SAM
PLE
PLE
SAM
S
LELEELE
SAM
PLE
SAMAMAMAMMAM
SAM
SASAM
P
AM
PLE
S
PLLELE
PL
SASASA
LE
SSSASASA
SAM
PL
S
M
PPLEE
PL
SAM
PLE
SASASASAS
SAM
PLE
SSSAM
PLE
ASASAAMAM
SAM
S
M
PLE
SASASAM
PL
M
P
S
LELEE
M
PLELL
SA
SSSAM
PLE
AM
LPLP
E
AMAMAMAMAM
SAM
SAM
SA
6
AM
SSS
SAM
SSA
1
AM
PLE
ll
oftwa
post-d
SAM
E
SAAM
PLE
SAM
PLE
PLE
PLE
M
PLEE
S
MM
SAM
PLELE
SAM
SAM
PLE
SA
SAMAM
PLE
SS
SAM
PLE
AM
LE
Reg
m
SS
SAMAM
PLE
rk
system
on suppo
remotely
alore Dev
SS
SAM
PLE
AM
PL
o
SS

11. THIS IS A SAMPLING OF
THE ACTUAL PRODUCT.
TO PURCHASE, PLEASE VISIT
WWW.INDSIGHTS.COM OR
CLICK HERE:
INFORMATION TECHNOLOGY
INFORMATION TECHNOLOGY1.0 Copyright © 2013 INDSIGHTS. All rights reserved.
TO PURCHASE