Press release
Cellular Machine-to-Machine (M2M) Modules Market Trends, Share and Forecast to 2025: North America is Forecasted to Grow
This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter's Five Forces Analysis.
M2M refers to machine to machine communication between any devices, including wired as well as wireless. It can include industrial instrumentation with a sensor to communicate with the application software about the recorded data, viz temperature, inventory level, no. of units, etc.
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On the basis of geography, the global M2M cellular market is segmented into North America, Europe, Middle-east, Africa and Asia-Pacific. North America is forecasted to grow as a favorable market for M2M technology. Asia-Pacific and other regions are in emerging stages for this market. The emerging markets are forecasted to witness a greater scope for M2M cellular devices for the forecasted period. Moreover, a huge ROI is expected in cellular M2M value added services in the emerging markets owing to good chances of augmented performance in M2M value added services.
The Cellular Machine-to-Machine (M2M) Modules market was valued at xx Million US$ in 2017 and is projected to reach xx Million US$ by 2025, at a CAGR of xx% during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Cellular Machine-to-Machine (M2M) Modules.
The following manufacturers are covered in this report:
Huawei
Sierra Wireless
SIMcom Wireless Solutions
Novatel Wireless
Telit Communications
U-blox
Cellular Machine-to-Machine (M2M) Modules Breakdown Data by Type
WiMAX
LTE modules
2G, 3G
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Cellular Machine-to-Machine (M2M) Modules Breakdown Data by Application
Healthcare
Energy & Utilities
Automotive
Security
Other
Cellular Machine-to-Machine (M2M) Modules Production by Region
United States
Europe
China
Japan
South Korea
Other Regions
Other Regions
Cellular Machine-to-Machine (M2M) Modules Consumption by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Australia
Indonesia
Malaysia
Philippines
Thailand
Vietnam
Europe
Germany
France
UK
Italy
Russia
Rest of Europe
Central & South America
Brazil
Rest of South America
Middle East & Africa
GCC Countries
Turkey
Egypt
South Africa
Rest of Middle East & Africa
The study objectives are:
To analyze and research the global Cellular Machine-to-Machine (M2M) Modules status and future forecastinvolving, production, revenue, consumption, historical and forecast.
To present the key Cellular Machine-to-Machine (M2M) Modules manufacturers, production, revenue, market share, and recent development.
To split the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
In this study, the years considered to estimate the market size of Cellular Machine-to-Machine (M2M) Modules :
History Year: 2013 - 2017
Base Year: 2017
Estimated Year: 2018
Forecast Year: 2018 - 2025
This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Cellular Machine-to-Machine (M2M) Modules market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
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