Industrial Internet of Things - Increasing Productivity with Reduced Operational Time and Costs
Industrial Internet of Things (IIoT) Market: Overview
Industrial Internet of Things (IIoT) is a system that integrates
complex machines with high-end software programs and sensors for
analyzing data to increase productivity and reduce operational time
and costs. IIoT systems differs from Internet of Things (IoT)
systems. Failure in IIoT systems would lead to disastrous situations
where as in IoT systems the failure would barely lead to emergency
situations.
Free PDF Sample For More Market insight can be Downloaded @
http://bit.ly/1sI72f7
IoT systems are designed at consumer level device such as smart home
appliances, automatic pet feeders and wearable fitness devices. IIoT
systems comprises of industrial machines such as health monitors and
manufacturing machines deployed at industrial and manufacturing
sites. IIoT incorporates machine learning, big data technology and
Machine to Machine Communication (M2M).
Machine learning is a type of artificial intelligence that enables
computers with self-learning without being programmed. Big data
technology is an emerging technology that incorporates any volume of
data which can be converted into useful information. M2M
Communication can be defined as direct communication between machines
using any communication channel such as wired and wireless. The
industrial machines in IIoT are connected through a communication
software to collect, analyze, monitor and exchange information
amongst themselves without any human intervention.
Browse Full Market Report With Complete TOC @
http://bit.ly/1UeJ0yx
Industrial Internet of Things (IIoT) Market: High-impact Drivers
The major factor that would drive the growth of IIoT market would be
advancements in cloud technology. The growth in cloud technology
would enable easy accessibility, unlimited storage and low-priced
efficient processing for IIoT systems. Furthermore, formation of
Industrial Internet Consortium (IIC) by key players such as AT&T
Inc., Cisco Systems Inc., International Business Machine (IBM)
Corporation, Intel Corporation and General Electric Company would
also accelerate the development and adoption rate for IIoT systems.
Availability of low cost and highly efficient sensors would also
drive the growth of market. The increasing need for optimum accuracy
in industries such as aerospace, defense, energy, healthcare,
manufacturing and transportation is likely to provide immense
opportunities for IIoT market. Furthermore, Innovation in big data
analytics could create immense opportunities for the IIoT market.
However, the major challenge that IIoT markets likely to face is the
interoperability issues and lack of standardization in IIoT products.
The security and privacy issues with usage of cloud technology is
likely to hinder the anticipated growth of IIoT market.
Industrial Internet of Things (IIoT) Market: Segmentation
IIoT market could be segmented on the basis of technology, industry
vertical and geography. On the basis of type, the IIoT market could
further be segmented into Radio Frequency Identification (RFID),
sensors, 3D printed sensors, automated haulage systems, yield
monitors, GPS, smart meter and robotics. On the basis of industry
vertical, the global IIoT market could be segmented in manufacturing,
aviation, oil and gas, healthcare, mining, power, agriculture and
transportation.
Furthermore, in terms of geography, global IIoT market could be
segmented into North America, Europe, Asia-Pacific, Middle East and
Africa and Latin America regions. IIoT products have significant
presence in North America market due to presence of huge numbers of
early adopters. Highest adoption rate for IIoT systems is led by APAC
region due to growing technological advancements in sectors such as
manufacturing and healthcare.
The study is a source of reliable data on:
Market segments and sub-segments
Market trends and dynamics
Supply and demand
Market size
Current trends/opportunities/challenges
Competitive landscape
Technological breakthroughs
Value chain and stakeholder analysis
No comments: