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12 IoT Trends 2020
Entrepreneurs Must Know
While it started with steady growth,
the demand for connected home
devices will see a sharp rise in the
coming years. This demand, in turn,
will increase the need for the
manufacturing of connected electronic
devices.
Smart Home
It consists of transferring data to a
local device, closer to the edge of the
network, instead of sending it straight
from IoT device to cloud. This local
storage helps in filtering and
calculating
the data and sending a part/whole
data to the cloud.
Edge Computing
The year to come will see the machine
to machine authentication
overlapping, biometric logins
becoming a norm, and technologies
like machine learning, big data, and AI
being used to eliminate data
infractions.
Security
The year to come will see the machine
to machine authentication
overlapping, biometric logins
becoming a norm, and technologies
like machine learning, big data, and AI
being used to eliminate data
infractions.
AI, Big Data, and
Machine Learning in IoT
IoT being centralized has minimal to
zero guarantee in terms of security,
especially since the data is held by a
specific party. Blockchain, being
decentralized eliminates the issues
of lack of security and control being
with one party.
Using Blockchain for IoT
Security
The IoT tech spending efforts towards
smart cities, which are anticipated to
reach $80 billion by 2050, will become
a prime ingredient in the goal to
improve
the quality of living and sustainability.
Smart Cities
By making data accessible in real-time,
SaaS will find itself getting explored by
businesses. The time to come will see
more cloud vendors coming in the
picture as an active part of the
dependency that mass IoT adoption
will bring alongside.
SaaS will Emerge as a Norm
The absence of a unified IoT
framework is something that has been
a major challenge for the IoT industry.
Blockchain driven ecosystem can help
to bring all the data in one place with
its
decentralized operating model.
Unified IoT framework
IoT will be used not just for personal or
consumer-based use but also for
industrial use. It is evident from the
fact that IoT connecting devices are set
to grow to over 3.7 billion in 2019 and
to over 50 billion by 2021.
Increased Consumer
Adoption
One of the major IoT Trends will be
seen in the efficient tracking of
location
and wireless sensing. Wireless sensing
will be used for creating drones and
virtual assistants, object recognition,
and medical diagnostics.
Location Tracking and
Wireless Sensing
Operative majorly at the back of IoT
and Big Data convergence, customer
experience is poised to become more
personalized. This combination is what
would help in achieving an
omnichannel
customer experience.
Customer Service
The next-gen manufacturing tools will
make use of built-in sensors and
advanced programming for performing
predictive analytics and forecasting
the potential issues much before they
actually happen.
Predictive Maintenance
For more information on this topic,
please refer to this blog:
Top 12 IoT Trends That
Every Entrepreneur Must Know in 2020
Contact Us
Appinventiv Technologies
sales@appinventiv.co
m
+91 8826909998
+1-646-585-0501

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IoT Trends

  • 1. 12 IoT Trends 2020 Entrepreneurs Must Know
  • 2. While it started with steady growth, the demand for connected home devices will see a sharp rise in the coming years. This demand, in turn, will increase the need for the manufacturing of connected electronic devices. Smart Home
  • 3. It consists of transferring data to a local device, closer to the edge of the network, instead of sending it straight from IoT device to cloud. This local storage helps in filtering and calculating the data and sending a part/whole data to the cloud. Edge Computing
  • 4. The year to come will see the machine to machine authentication overlapping, biometric logins becoming a norm, and technologies like machine learning, big data, and AI being used to eliminate data infractions. Security
  • 5. The year to come will see the machine to machine authentication overlapping, biometric logins becoming a norm, and technologies like machine learning, big data, and AI being used to eliminate data infractions. AI, Big Data, and Machine Learning in IoT
  • 6. IoT being centralized has minimal to zero guarantee in terms of security, especially since the data is held by a specific party. Blockchain, being decentralized eliminates the issues of lack of security and control being with one party. Using Blockchain for IoT Security
  • 7. The IoT tech spending efforts towards smart cities, which are anticipated to reach $80 billion by 2050, will become a prime ingredient in the goal to improve the quality of living and sustainability. Smart Cities
  • 8. By making data accessible in real-time, SaaS will find itself getting explored by businesses. The time to come will see more cloud vendors coming in the picture as an active part of the dependency that mass IoT adoption will bring alongside. SaaS will Emerge as a Norm
  • 9. The absence of a unified IoT framework is something that has been a major challenge for the IoT industry. Blockchain driven ecosystem can help to bring all the data in one place with its decentralized operating model. Unified IoT framework
  • 10. IoT will be used not just for personal or consumer-based use but also for industrial use. It is evident from the fact that IoT connecting devices are set to grow to over 3.7 billion in 2019 and to over 50 billion by 2021. Increased Consumer Adoption
  • 11. One of the major IoT Trends will be seen in the efficient tracking of location and wireless sensing. Wireless sensing will be used for creating drones and virtual assistants, object recognition, and medical diagnostics. Location Tracking and Wireless Sensing
  • 12. Operative majorly at the back of IoT and Big Data convergence, customer experience is poised to become more personalized. This combination is what would help in achieving an omnichannel customer experience. Customer Service
  • 13. The next-gen manufacturing tools will make use of built-in sensors and advanced programming for performing predictive analytics and forecasting the potential issues much before they actually happen. Predictive Maintenance
  • 14. For more information on this topic, please refer to this blog: Top 12 IoT Trends That Every Entrepreneur Must Know in 2020