Industrial IoT (IIoT) uses smart sensors and analytics to enhance manufacturing processes. Also known as Industry 4.0, IIoT leverages machine data and real-time analytics to drive business decisions faster and more accurately. Common IIoT applications include industrial automation, predictive maintenance, smart logistics, and enhanced quality control. Major vendors in the IIoT space include Cisco, GE Digital, Kuka, ABB, Fanuc, Honeywell, and Siemens. The IIoT market is expected to generate over $300 billion by 2020 and significantly boost economic growth over the next few years.

1. Industrial IOT (IIOT 4.0)

2. WHAT WE GOT COVERED?
Application of Industrial IOT
1
2
MachineTo Machine (M2M)
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4
5
BenefitsOf Industrial IOT
What Is Industrial IOT
Feature of Industrial IOT
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Vendors In Industrial IOT

3. WHAT IS INDUSTRIAL IOT (IIOT)
The industrial internet of things (IIoT) is the use of smart sensors and actuators to enhance manufacturing
and industrial processes. Also known as the industrial internet or Industry 4.0, IIoT leverages the power of
smart machines and real-time analytics to take advantage of the data that dumb machines have produced
in industrial settings for years. The driving philosophy behind IIoT is that smart machines are not only better
than humans at capturing and analyzing data in real time, they are better at communicating important
information that can be used to drive business decisions faster and more accurately.

4. Application of Industrial IOT

5. Application of industrial iot
Industrial Automation
Industrial automationis one of
most significant and common
application of Internet of Things.
Industrial
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Automation of machines and tools
enables companies to operate in
an efficient way with
sophisticated software tools to
monitor and make improvements
for next process iterations
iterations.
Accuracy of process stages can be
improved to a greater level using
machine automation. Automation
tools like PLC (Programmable
Logic Control) and P
AC
(Programmable Automation
Smart Robotics
Many companies are developing
intelligent roboticssystemfor
IoT-enabled factories.
Predictive Maintenance
Modern industrialmachines
equipped with smart sensors
continuouslymonitoring…

6. Application of industrial iot
Industrial Automation
Industrial automationis one of
most significant and common
applicationof Internet of Things.
Smart Robotics
Many companies are developing
intelligent robotics system for IoT-
enabled factories. Smart robotics
ensures smooth handling of tools
and materials in the
with precise
manufacturing line
accuracy and efficiency.
Predefined specifications can be
set for maximum precision (up to
few nanometers scale for some
applications) using intelligent
robotic arms.
Man machine interface design
concept will reduce the
complexity of operation and it will
Smart Robotics
Many companies are developing
intelligent roboticssystemfor
IoT-enabled factories.
Predictive Maintenance
Modern industrialmachines
equipped with smart sensors
continuouslymonitoring…

7. Application of industrial iot
Industrial Automation
Industrial automationis one of
most significant and common
applicationof Internet of Things.
Predictive
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ial machines
sensors
equipped with smart
continuously monitoring the status
of each major components and it
can detect any critical issues
before the system is completely
down. Smart sensors will trigger
maintenance warning to the
centralized system and the alert
messages will be delivered to
responsible persons/groups.
Maintenance engineers can
analyze the data and plan for
schedules maintenance effectively
without affecting routine task.
Smart Robotics
Many companies are developing
intelligent roboticssystemfor
IoT-enabled factories.
Predictive Maintenance
Modern industrialmachines
equipped with smart sensors
continuouslymonitoring…

8. Application of industrial iot
Integration of
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toolsand machinesenables the
workforce to perform.
Integration of
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noo
o
fls
smart
tools and machines
sensors to
enables the
workforce to perform the task
with improved accuracy and
efficiency
. Specially designed
wearables and smart glass helps
employees to reduce error and
improve safety at the working
environments.
Smart
instant
wearables can trigger
warning messages to
during emergency
like gas leak or fire.
can monitor health
employees
situations
Wearables
condition of individuals
Smart Logistics
Logistics is o
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nsi
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many industries, which needs continuous
improvementsto support increasing
demands.
Product optimization
Smart analytics solution is one of
most importantcomponentof
any IoT system.

9. Application of industrial iot
Integration of
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sm
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trtT
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o
toolsand machinesenables the
workforce to perform.
Smart Logistics
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csgie
s m
one
en
oftthe important
areas in many industries, which
needs continuous improvements to
support increasing demands.
Smart sensor technology is a
perfect fit to solve many of the
complex logistics operations and
manage goods efficiently.
Retail giants like Amazon using
drones to deliver goods to their
customers. Advanced technologies
like drones offer better efficiency;
accessibility, speed and it require
less manpower. However, initials
investments are huge compared to
Smart Logistics
Logistics is o
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at
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nei
m
ap
go
emta
er
e
a
nsi
tn
many industries, which needs continuous
improvementsto support increasing
demands.
Product optimization
Smart analytics solution is one of
most importantcomponentof
any IoT system.

10. Application of industrial iot
Integration of
IntegraS
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m
nof
a
sm
ra
trtT
seo
nso
ors
lt
s
o
toolsand machinesenables the
workforce to perform.
Software integration for
product optimization
Smart analytics solution is one of
most important component of any
IoT system which further enhances
the possibilities of the system for
improvement and optimization.
Major companies are
implementing customized
software for deep analysis of huge
large sensor networks
amount of data collected from
and
machines. Detailed analysis of
behavior over time gives
data and understanding the
much
better overview of process
improvement strategies for
Smart Logistics
Logistics is o
n
e
Mo
f
at
h
nei
m
ap
go
emta
er
e
a
nsi
tn
many industries, which needs continuous
improvementsto support increasing
demands.
Product optimization
Smart analytics solution is one of
most importantcomponentof
any IoT system.

11. Application of industrial iot
Smart Package
Packa
M
gea
ma
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na
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ge
g
me
enm
t use
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Iot
T
technologygives lot of convenience
and efficiency for manufacturing
units
Smart Package
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ane
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gives
and efficiency
using IoT
lot of
for
technology
convenience
manufacturing units. Smart
sensors can monitor each stages of
packing and update status in real-
time manner
. Embedded sensors
can detect vibrations, atmospheric
like temperature and
etc and feedback if
conditions
humidity
something goes wrong during
transit or storage.
Enhanced Quality and
Introductionof IoTS
tee
chn
c
ou
log
r
yi
in
tty
o
manufacturingoffers enhanced product
quality.
Autonomous vehicles
Automotive industries are using IoT
enables self driving vehicles to supply
goods and logistics management
within their company premises.

12. Application of industrial iot
Smart Package
Packa
M
gea
ma
n
na
a
ge
g
me
enm
t use
ing
n
Iot
T
technologygives lot of convenience and
efficiency for manufacturing
units
Enhanced Quality and
Security
Introduction of IoT technology in
to manufacturing offers enhanced
product quality. Continuous
monitoring and analysis of each
stages ensure better quality by
improving process steps for
optimum quality.
Integration of smart tools and
software assisted procedures offer
higher level of security. Software
controlled automation and data
collection from huge sensor
network is connected to a highly
secure gateway and cloud server
platform. Complex encryption
techniques are used in IIoT
Enhanced Quality and
Introductionof IoTS
tee
chn
c
ou
log
r
yi
in
tty
o
manufacturingoffers enhanced product
quality.
Autonomous vehicles
Automotive industries are using IoT
enables self driving vehicles to supply
goods and logistics management
within their company premises.

13. Application of industrial iot
Smart Package
Packa
M
gea
ma
n
na
a
ge
g
me
enm
t use
ing
n
Iot
T
technologygives lot of convenience
and efficiency for manufacturing
units
Autonomous vehicles
Automotive industries are using
IoT enables self driving vehicles to
supply goods and logistics
management within their company
premises. Smart vehicles can
detect traffic congestions along its
path and make deviation to reach
its destination is shortest time.
These vehicles are equipped with
many smart sensors continuously
detect location data using GPS and
wireless technologies for
control
communication with the
station.
Enhanced Quality and
Introductionof IoTS
tee
chn
c
ou
log
r
yi
in
tty
o
manufacturingoffers enhanced product
quality.
Autonomous vehicles
Automotive industries are using IoT
enables self driving vehicles to supply
goods and logistics management
within their company premises.

14. Application of industrial iot
Management
Power
IoT can offer better solutions for
power managementin industries.
Power Management
IoT can offer better solutions for
power management in industries.
Specific sensors can detect
environment and trigger to turn
on/o control of lights, air
conditioners, humidity, liquid flow
etc for efficient power
management.

15. Machine
To Machine (M2M)
Machine to machine (M2M) is
direct communication between
devices using any communications
channel, including wired and
wireless. Machine to machine
communication can include
industrial instrumentation,
enabling a sensor or meter to
communicate the information it
records to application software that
can use it Such communication was
originally accomplished by having a
remote network of machines relay
information back to a central hub
for analysis, which would then be
rerouted into a system like a
Some of M2M Uses
Smart asset tracking
Embedded sensors andGPS capabilities keep track of
your assets.A fleet o share their location, contents
and state of repair.
Predictive maintenance
Sensors on your equipment detect faults, order
replacement component equipment breaks and
causes costly downtime.
Product development
Product development can continue beyond a point o
could feed back information about its state of repair,
and how it responds to continued usage,
Adaptive traffic management
Connected cars can sense their location on the road,
and even share data about available parking spaces
with other vehicles and could send data to a real-time
application in drivers’ cars via the could find available
spaces – easing congestion, and saving time and fuel.

16. Benefits Of Industrial IOT
 One of the top touted benefits the industrial internet of things affords businesses is predictive
maintenance. This involves organizations using real-time data generated from IIoT systems to predict
defects in machinery, for example, before they occur, enabling companies to take action to address
those issues before a part fails or a machine goes down.
 Another common benefit is improved field service. IIoT technologies help field service technicians
identify potential issues in customer equipment before they become major issues, enabling techs to
fix the problems before they inconvenience customers.
 Asset tracking is another IIoT perk. Suppliers, manufacturers and customers can use asset
management systems to track the location, status and condition of products throughout the supply
chain. The system will send instant alerts to stakeholders if the goods are damaged or at risk of being
damaged, giving them the chance to take immediate or preventive action to remedy the situation.
 IIoT also permits enhanced customer satisfaction. When products are connected to the internet of
things, the manufacturer can capture and analyze data about how customers use their products,
enabling manufacturers and product designers to tailor future IoT devices and build more customer-
centric product roadmaps.
 IIoT also improves facility management.As manufacturing equipment is susceptible to wear and tear,

17. 1
Vendors In Industrial IOT
2
3 4
6
IoT System by Cisco, a
networking company;
Predix by GE Digital, an
energy management
company;
Connyun by Kuka, a
manufacturer of industrial
robots.
7
Ability by ABB, a power and
robotics company;
Field by Fanuc, a supplier
of industrial automation
equipment;
Connected Performance
5 Services by Honeywell, a
software-industrial
company;
Wonderware by Schneider
Electric, an energy
management company;
8 MindSphere by Siemens, an
industrial manufacturing
company.

18. The Future Of
Industrial IoT
Bain & Company predicted industrial IoT
applications will generate more than $300
billion by 2020, double that of the consumer
IoT segment ($150 billion).
Similarly, IDC Research reported the top three
industries investing in IIoT in 2018 are
manufacturing ($189 billion), with a focus on
asset management; transportation ($85
billion), with a focus on freight monitoring and
fleet management; and utilities ($73 billion),
with a focus on smart grids, while consumer
IoT spending will reach $62 billion.
More optimistically,Accenture expects IIoT to
add $14.2 trillion to the economy in the same
time period, growing at a 7.3% compound
annual growth rate (CAGR) through 2020.