IoT vs M2M – Difference between M2M and IoT Explained

Introduction to IoT vs M2M

Technology advancement is occurring at a rapid pace and so does technology innovation. “M2M” and “IOT” are 2 innovation terms which are common discussion points of the technical innovation community.

Notable is that M2M may be called the predecessor of IoT. Let’s understand the terms & difference in M2M and IOT in more detail.

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M2M or Machine to Machine –

M2M concept refers to two or more machines can communicate with each other and carry out certain functions without human intervention. Some degree of intelligence can be observed in the M2M model. Some of key applications which leverage M2M technology to provide services are –

  • Warehouse Management Systems (WMS)
  • Supply Chain Management (SCM)
  • Harvesting energy like oil and gas
  • Customer billing like smart meters
  • Traffic control
  • telemedicine
  • Remote monitoring

 

IoT or Internet of Things –

IoT refers is an ecosystem of connected devices (via the Internet) where the devices have the ability to collect and transfer data over a network automatically without human intervention. IoT helps objects to interact with internal and/or external environment which in turn control the decision making. Some of applications and services of IOT Technology are –

  • Smart Home
  • Connected cars
  • Agriculture and Retail
  • Smart cities
  • Healthcare
  • Poultry and Farming

If you’re planning to use this advanced technology for your business, now is the right time. You can create a secure web or mobile application making the processes convenient for your business. If you’re unclear about IoT’s potential, here is a short piece on the internet of things for software development that might help you know how IoT works for any business. Find more information about IoT here https://sumatosoft.com/solutions/internet-of-things-software-development.

IoT vs M2M : The Difference

M2M solutions contain a linear communication channel between various machines that enables them to form a work cycle. It’s more of a cause and effect relation where one action triggers the other machinery into activity. Conversely, in case of IoT, multiple devices communicate with each other through sensors and digital connectivity.

While M2M (machine to machine) is commonly associated with isolated solutions like a solution of Wi-Fi thermostats, a vehicle location system or home automation, IoT (Internet of Things) works by stretching its boundaries and integrating multiple disparate systems into outputs beneficial for Business goals.

Another key differentiator is that M2M’s key focus is on direct point-to-point connectivity across mobile networks or fixed-line while IoT communication involves IP networks and will usually employ cloud or middleware platforms.

When we consider the scalability in M2M vs IoT, clearly IOT wins the race since it works on Cloud-based architecture and as we know Cloud can expand substantially.

Also, IoT makes use of Open APIs for communication across distinct systems while M2M mostly has limited or no open APIs.

Comparison Table: IoT vs M2M

PARAMETERS
M2MIOT
Abbreviation for
Machine to Machine
Internet of Things
Philosophy
M2M is Concept where two or more machines can communicate with each other and carry out certain functions without human intervention. Some degree of intelligence can be observed in M2M model.
IOT is an ecosystem of connected devices ( via Internet) where the devices have ability to collect and transfer data over a network automatically without human intervention. IOT helps objects to interact with internal and/or external environment which in turn control the decision making.
Connection Type
Point to Point
Through IP Network using various Communication types
Communication protocols
Old proprietary protocols and communication techniques
Internet protocols used commonly
Value Chain
Linear
Multi-sided
Focus Area
For monitoring and control of 1 or few infrastructure/assets.
To address everyday needs of humans.
Sharing of collected data
Data collected is not shared with other applications
Data is shared with other applications (like weather forecasts, social media etc.) improve end user experience
Device dependency
Devices usually don’t rely over Internet connection
Devices usually rely over Internet connection
Device in scope
Limited devices in scope
Large number of device sin scope
Scalability
Less scalable than IOT
More scalable due to cloud based architecture
Example
Remote monitoring , fleet control
Smart Cities, smart agriculture etc.
Business Type
B2B
B2B and B2C
Technology Integration
Vertical
Vertical and Horizontal
Open APIs
Not supported
Supported
Related terms
Sensors , Data and Information
End users, devices, wearables, Cloud and Big Data

m2m vs iot comparison table

Download the difference table IOT vs M2M.

 

 

 

 

 

 

Hope you would have understood the difference between IoT and M2M from the above comparison table.

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