A recent report published by Infinium Global Research on cloud
computing in industrial IOT market provides in depth analysis of segments and
sub-segments in global as well as regional cloud computing in industrial IOT
market. The study also highlights the impact of drivers, restraints and macro
indicators on the global and regional cloud computing in industrial IOT market
over the short term as well as long term. The report is a comprehensive
presentation of trends, forecast and dollar values of global cloud computing in
industrial IOT market. According to report the global cloud computing in industrial
IOT market is projected to grow at a CAGR of 25.7% over the forecast period of
2018-2024.
Market Insight
Cloud computing is the
combination of application, platform and infrastructure that is organized
through IaaS, PaaS and SaaS .Here all the subcomponents are managed by the
client itself. Moreover, IaaS is a form of cloud computing that provides
virtualized computing resources over the internet. Cloud computing in industrial
IOT provides the same development process nevertheless with the different
architecture. New computing pattern has been introduced in cloud computing
which is applicable in various sectors including office and enterprise systems.
The additional advantage of using cloud computing in industries is that it
connects all the machines and devices within the industry to produce valuable
data that is used for analysis and exchange information between industry and
consumer.
Rising adoption of cloud platform
and increase in wireless networking technologies are the prime factors driving
the growth of the cloud computing in industrial IOT market. Additionally, cloud
based storage provides remote database to save the data files rather keeping on
hard drive or local storage devices. This in turn is fuelling the growth of the
cloud computing in industrial IOT market. On the other hand, cloud computing
reduces the expenses of buying hardware, requires low set-up cost & running
on-site data centers is anticipated to boost the cloud computing in industrial IOT
market. However, rising concerns regarding security, privacy and rising number
of cyber-attacks activities are the factors expected to hinder the growth of
the cloud computing in industrial IOT market over the forecast period.
Furthermore, Industrial internet of things represents significant opportunity
for centralized cloud as well as distributed computing often referred to as fog
computing.
Among the geography, Asia Pacific
holds the largest market share in global cloud computing in industrial IOT
market followed by North America. Additionally, high investments in
technological advancement and developing industrial sector coupled with
augmented adoption rate of IOT is anticipated to boost the cloud computing for
industrial IOT market in the Asia Pacific regions. Moreover, North America
holds the second largest position in the global industrial IOT market owing to
the willingness to invest in the automation process in North American region.
On the other hand, Brazil is anticipated to dominate the Latin America cloud
computing market due to the developing IT sector in the country and increase in
demand for automation process.
Segment Covered
The report on global cloud computing in industrial IOT market
covers segments such as, sensor type, model, cloud type and end user. On the
basis of sensor type the global cloud computing in industrial IOT market is
categorized into pressure sensors, optical sensors, proximity sensor and
temperature sensors. On the basis of model the global cloud computing in
industrial IOT market is categorized into software as a service (saas),
infrastructure as a service (iaas) and platform as a service (paas). On the
basis of cloud type the global cloud computing in industrial IOT market is
categorized into private, public and hybrid. On the basis of end user the
global cloud computing in industrial IOT market is categorized into
transportation, energy, oil and gas, healthcare, manufacturing and others (minning
and agriculture).
Geographic Coverage
The countries covered in the North America region include the
U.S., Canada, and Mexico; while Asia-Pacific includes China, Japan, India,
South Korea, Malaysia, and among others. Moreover, Germany, U.K., France,
Spain, and Rest of Europe are included in the European region. The U.S. drives
the growth in the North America region as it is the largest market in the
region. The Asia-pacific region offers a substantial potential for the market
growth owing to rapid growth in markets such as India and China. The APAC
region is projected to experience a growth at a CAGR of x.x% over the period of
2016-2024.
Companies Profiled:
The report provides profiles of the companies in the global
cloud computing in industrial IOT market such as, Microsoft Corporation, LosantIOT,
Inc., IROOTECH, Intel Corporation, IBM, Honeywell International Inc., FUJITSU,
CISCO, Amazon Web Services, Inc. and Iron Mountain Incorporated.
Report Highlights:
The report provides deep insights on demand forecasts, market
trends and micro and macro indicators. In addition, this report provides
insights on the factors that are driving and restraining the global cloud
computing in industrial IOT market. Moreover, IGR-Growth Matrix analysis given
in the report brings an insight on the investment areas that existing or new
market players can consider. The report provides insights into the market using
analytical tools such as Porter's five forces analysis and DRO analysis of
cloud computing in industrial IOT market. Moreover, the study highlights
current market trends and provides forecast from 2018-2024. We also have
highlighted future trends in the cloud computing in industrial IOT market that will
impact the demand during the forecast period. Moreover, the competitive
analysis given in each regional market brings an insight on the market share of
the leading players. This report will help manufacturers, suppliers and
distributors of the cloud computing in industrial IOT market to understand the
present and future trends in this market and formulate their strategies
accordingly.