The report “Internet of Things (IoT) & Machine-To-Machine
(M2M) Communication Market by Technologies & Platforms (RFID, Sensor Nodes,
Gateways, Cloud Management, NFC, CEP, SCADA, ZigBee), M2M Connections, IoT
Components – Worldwide Market Forecasts (2014 – 2019)″ by MarketsandMarkets is now available at RnRMarketResearch.com.
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Machine-To-Machine (M2M) Communication Market by Technologies & Platforms
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Internet of Things (IoT) and
Machine-to-Machine (M2M) communication are the essence of the smart
productivity and living. IoT and M2M is a worldwide network of interconnected
objects. With full of dynamicity, the objects can interact anywhere and anytime
and can interoperate and collaborate heterogeneous range of entities. It is
expected that by 2025 a trillion of interconnected devices will be present in
the market and a rising demand for sensors, wireless networks, and cloud apps
could be seen in the market. The factors which are driving the IoT and M2M
market rely on the government support, enhancing connectivity, and are proving
to be beneficial for the market leaders and the industry.
The IoT and M2M
communication market research report is segmented into technology and platform,
M2M connection and modules, IoT components, applications, and regions with an
in-depth analysis and forecasting of revenues. The report also analyzes global
adoption trends, future growth potential, key drivers, competitive landscape,
restraints, opportunities, and emerging technologies in this market. The report
further presents regional opportunity plot analyses along with expected market
size and forecast analyses for various sub-segments of IoT and M2M market.
Case Study 1:
Philips One Sleep Therapy:
“Sleep apnea” is one of the dreadful disorders where people stop breathing
while sleeping. Philips came with a plan of CPAP therapy that will monitor the
breathing of patient and accordingly transmit the information to a web-based
patient management system. It uses the Cinterion TC65i Java Module and GSM/GPRS
wireless networks to send breathing data to a secure web portal. It helps the
doctor in analyzing the data and accordingly makes any changes to the air
pressure prescription. This is accounted as one of the application of IoT and
M2M communication in remote patient monitoring system in healthcare vertical.
Case Study 2:
Intelligent transportation
system controls the flow of traffic, congestion, and delays. M2M helps in controlling
all these via sensors in the vehicles and on the roads which monitor the
congestion in the traffic flow and wirelessly communicate the information to
the central traffic control system, which in turn imposes speed limits for
clearance of the traffic congestion. In addition, system can be directly used
to communicate with the vehicles for communication proposes so as to divert
their route, thus maintaining the speed and avoiding traffic.
Few Points from Table Of Contents
1 Introduction
1.1 Key Take-Aways
1.2 Report Description
1.3 Markets Covered
1.4 Stakeholders
1.5 Research Methodology
1.5.1 Market Size
1.5.2 Key Data Points
1.5.2.1 Key Data Points Form
Secondary Sources
1.5.2.2 Key Data Points Form
Primary Sources
1.5.3 Data Triangulation and
Market Forecasting
1.6 Forecasting Assumption
2 Executive Summary
2.1 Abstract
2.2 Overall Market Size
3 Market Overview
3.1 Market Definition
3.2 Market Evolution
3.3 Next Gen-IOT
3.4 Industry Trends
3.5 Market Segmentation
3.5.1 By Technologies &
Platforms
3.5.2 By IOT Components
3.5.3 By M2M Connections
& Modules
3.5.4 By Verticals
3.5.5 By Geography
3.6 Market Dynamics
3.6.1 Drivers
3.6.1.1 Government Driven
Technology
3.6.1.2 Ubiquitous
Connectivity
3.6.1.2.1 Connected Devices
3.6.1.2.2 Everything Is
Smart
3.6.2 Restraints
3.6.2.1 Governance
3.6.2.2 Privacy and Security
3.6.2.3 Standards
3.6.2.4 Deployment of Ipv6
3.6.2.5 Phase-Out of 2g
Technology
3.6.2.6 Custom
Centralization of Data
3.6.3 Opportunities
3.6.3.1 New Ideas &
Bigger Potential For Market
3.6.3.2 Deployment of
Innovative Devices
3.6.4 Time Impact Analysis
of Market Dynamics
3.7 Ecosystem of IOT
3.7.1 Wireless Sensor
Networks
3.7.2 Access Networks
3.7.3 Operations Management
3.7.4 Applications/Services