The demand for microcontrollers will grow substantially over
the next five years, according to the findings of a Grand
View Research report released last year. These miniature computers
discretely control appliances and devices that have to think on their own, such
as components in your automobile and devices for home automation. According to
the report, this increased demand will be driven by certain sectors: primarily
automotive, followed by pressure from industry automation and consumer
Microcontroller ubiquity will be the result of consumers’
growing expectation that appliances and devices be smarter and more automated.
An expectation that manufactures of those items will continue to fuel by taking
advantage of a price-dip in microcontrollers, helping to make devices with
microcontrollers cheaper, and thus more accessible to consumers.
A dependable, embedded application is an essential part of
any microcontroller, but the processes that receive and analyze data collected
from the microcontroller will be equally important. Healthcare is an excellent
A recent blog
post on MedTechWorld’s Medical Device and Diagnostic Industry (MD+DI)
website serves as a good reference for understanding how one industry sector is
being affected by the plentiful availability of microprocessors and their
ability to cater to underserved markets. Near-patient devices, those small and
mobile enough to live at home with the patient, will catalyze quicker testing
and diagnostics if effective analyzation and predictive models are in place.
As the MD+DI post states, a medical device’s success will
not be dictated solely by the quality of the device itself. The differentiator
will be the union between the device’s ability to collect data and the backend process
to manage, analyze, and present data to the user.
In short, when it comes to programming microcontrollers, the
development work won’t end with the embedded application; instead, the lion’s
share of the work will begin with analysis of the data from the application.
Developer Marko Švaljek notes in Arduino Succinctly, recently
published as part of Syncfusion’s Succinctly
series, that when initially experimenting with microcontrollers, the first
thing he thought to do was collect and analyze data coming from an Arduino
board’s temperature and light sensors. This led him to learn more about big
data and electronics—topics he actively covers in his blog: msvaljek.blogspot.com.
If you’re just now exploring microcontrollers, or only just
now have an inkling to explore, read Arduino Succinctly. It’s a great
introduction to physical computing and will have you programming on the board
and interacting with the real world within the first chapter.
series resources on data science and analysis include:
PowerPivot Succinctly and HDInsight Succinctly by James
Machine Learning Using C# Succinctly
and Neural Networks Using C# Succinctly
by James McCaffrey.
MATLAB Succinctly by Dmitri Nesteruk.
R Succinctly by Barton Poulson.
If you’re interested in Arduino boards and components, you
can find them online at www.arduino.cc (in
the US, go to store-usa.arduino.cc).
If you’d like to take a look at data and analytics platforms that make managing
big data easier, look at the Syncfusion Big Data Platform
Contributing Sources: “Microcontroller Market Analysis by Product
(4/8-bit, 16-bit, 32-bit), by Application (Automotive, Consumer Electronics,
Industrial) and Segment Forecasts To 2020” by Grand View Research; “Innovation in Today’s Transforming
Healthcare Environment” by Tim