Software-defined machines are used as a combination in the ongoing
transition of industrial automation. The term software defined
machines does not essentially mean that a machine can be transformed
completely with the help of software, but the software can improve
the functionality of machines to increase its efficiency. The global
market for software-defined machines is expected to grow
significantly during the forecast period.
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There are several advantages associated with the implementation of
software-defined machines which are primarily driving their demand in
the global market. Presently, the machines which are used in
manufacturing processes are limited in terms of their hardware
capability. These machines are either operated by a person
mechanically or with the help of software specifically designed to
run that operation. In addition, some of these machines also run
through applications which were built to a specific firmware and
difficult to upgrade based on various requirements. Moreover, these
machines are also difficult to connect with the industrial internet
for remote access. Furthermore, the machines were not able to
communication with each other due to the lack of hardware and
software. The idea of software defined machines has helped to
commercialize the concept of industrial devices which can
autonomously connect with the internet network and execute
operations. In addition, the function of the machines can also be
modified with the help of these advanced softwares. Going further,
the software defined machines can also be used to stored useful data
in the cloud for future access. The rising crisis of increase in
labor wages has resulted into the need to automated process in
countries such as China and South Korea. The software defined
machines can also be used to replace the human workforce as it would
reduce the chance of human error and increase the efficiency in
operations. These factors are aiding to the demand for software
defined machines globally.
However, the high initial cost of installing the software is one of
the major factors hindering the demand for software-defined machines
market. Nevertheless, the upcoming trend of industry 4.0 is expected
drive the need for industrial automation substantially. This in
return is expected to drive the demand for software-defined machines
market in future.
The global market for software-defined machines can be segmented by
end use industry and geography. By end use industries, the market can
be bifurcated into automotive, manufacturing, chemical, logistics and
warehousing, food and beverages and process industries. The growing
demand for automation in industries is expected to drive the demand
for software-defined machines steady across all the segments during
the forecast period.
By geography, the global software-defined machines market can be
segmented into North America, Latin America, Europe, Asia Pacific and
Middle East and Africa. North America and Europe have been identified
to be early adapters of new technology and hence expected to witness
strong demand during the forecast period. Furthermore, the Asia
Pacific region is expected to witness strong demand due to presence
of emerging economies such as India, South Korea and China which
developing rapidly and investing heavily towards industrial
automation. Middle East region is also expected to witness steady
growth over the forecast period.
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There are several players operating in the global software-defined
machines market. These players are witnessing strong competition
which is resulted into frequent mergers, acquisitions and
partnerships between them in order to sustain in the highly
competitive environment. These players have been profiled in terms of
their business overview, product segments, financial performance,
SWOT analysis and business strategies. The leading players operating
in the software-defined machines market include GE (U.S.), Atos
(France), Drem Kft. (Hungary) and VMware (U.S.) among other emerging
players.
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